Sage Journals: Discover world-class research

Abstract

This study compares how universities in different cultural and educational contexts prepare media and communication graduates for an artificial intelligence (AI)-driven future, focusing on publicly available course information. It evaluates the integration of generative AI technologies into the media and communication curricula at the University of Melbourne and the University of Sydney in Australia and assesses the readiness of the American University in Cairo (AUC) and Cairo University in Egypt. Using systematic document analysis of course descriptions, syllabi, and curriculum guides, the study highlights the integration of practical AI applications and pedagogical methods. The findings underscore the need for enhanced AI education to prepare graduates for the evolving media landscape, offering recommendations for curriculum development and educational strategies. This research informs future advancements in media and communication education in the era of AI.

Keywords

artificial intelligence Australia Egypt communication higher education curriculum

Introduction

In an era characterized by rapid technological advancement, the integration of artificial intelligence (AI) has emerged as a pivotal development across various sectors, including journalism and communication. As digital landscapes continue to evolve, there is an urgent call for higher education institutions worldwide to adapt their curricula and teaching methodologies to prepare students for the complexities of an AI-driven media environment. This study explores how universities in Australia and Egypt are responding to the integration of AI within their journalism and communication programs.

OpenAI’s ChatGPT, launched in 2022 based on the GPT-3 model, represents a significant advancement in AI-driven text generation, with over 1 million users engaging with the platform. Continuous refinement through interactions and data assimilation from the internet underscores its evolving capabilities (Mollman, 2022; Pavlik, 2023), illustrating a broader trend where AI not only streamlines operations but also fosters innovation in storytelling techniques once deemed resource-intensive or technically impractical (Marconi & Siegman, 2017). These advancements are not merely enhancing existing workflows but are also enabling new forms of content production and distribution, underscoring the need for journalism graduates to become proficient with these technologies to remain competitive in a workforce increasingly dominated by AI tools (Boczkowski et al., 2020).

AI’s integration into journalism and communication extends to its role in audience analysis and engagement strategies. Machine learning algorithms enable media organizations to analyze vast data sets, providing insights into audience preferences, behavior patterns, and content consumption habits (Howard et al., 2018). This data-driven approach enhances media personalization, allowing for targeted content delivery and adaptive storytelling techniques that resonate more effectively with diverse audience segments (Diakopoulos, 2019; Howard et al., 2018). AI-powered recommendation systems, such as those used by streaming platforms and news aggregators, exemplify how predictive analytics optimize user experiences by suggesting relevant content based on individual browsing histories and preferences (Diakopoulos, 2019).

Moreover, AI’s ability to automate content curation and distribution processes not only increases operational efficiencies but also fosters deeper audience engagement through tailored content delivery strategies (Diakopoulos, 2019). AI is poised to drive personalized journalism by analyzing user data to tailor news content to individual preferences. AI algorithms enable media organizations to refine audience targeting, boosting engagement by delivering customized news stories (Flew et al., 2022). Marconi and Siegman (2017) suggest that as AI advances, personalization will become integral to audience retention strategies, making AI literacy essential for future journalists who will need to understand data analytics and content optimization.

These advancements underscore the importance of educating the next generation of media and communication professionals with AI expertise. Integrating AI into educational curricula equips students with essential skills in data analytics, algorithmic decision-making, and ethical considerations in AI-driven media environments (Carlson & Anderson, 2018a; Thurman & Fletcher, 2019). As AI technologies rapidly transform media, journalism, and communication sectors, the absence of AI training in higher education can significantly hinder graduates’ career prospects, reduce their adaptability in a digital-first media landscape, and limit their effectiveness in professional roles that now frequently require AI literacy (Dwivedi & et al, 2021). The integration of AI skills into media curricula is critical, as AI tools are increasingly used in data-driven journalism, content automation, and audience analysis.

According to Anderson et al. (2015), the skills required in journalism are changing due to the adoption of machine learning and data analytics, tools that allow journalists to automate routine tasks, such as content curation, and enhance data-based reporting. Students without experience in these tools are likely to struggle in roles requiring data analysis, content automation, and audience targeting, thus limiting their professional opportunities in competitive media markets (Diakopoulos, 2019). While AI proficiency enables media professionals to create more personalized content, optimize user engagement, and automate workflows, all of which are crucial in today’s digital-first industry (Flew et al., 2022). Students lacking AI experience may find themselves excluded from these innovative roles and relegated to more routine, less dynamic tasks, limiting their progression in technology-driven media fields (Dwivedi & et al, 2021).

As AI continues to influence the media landscape, educational institutions play an essential role in preparing students to leverage these technologies effectively and responsibly. By embedding AI education into their curricula, universities can foster a new generation of media professionals who can adapt to the rapidly evolving digital environment while maintaining ethical standards in AI use. This study contributes to the literature on AI’s role in journalism education by examining the opportunities and challenges of AI adoption in journalistic contexts. It highlights the importance of AI education within university programs to equip students with essential skills for modern media environments. By comparing the experiences of universities in Australia and Egypt, this study offers insights into how different national and educational contexts shape the integration of AI into journalism and communication programs. While Australia’s advanced digital infrastructure facilitates proactive AI integration, Egypt faces constraints related to limited resources and differing educational priorities. This comparison allows for a deeper understanding of how different national contexts influence AI integration in higher education.

Literature Review

The evolution of journalism education in different global contexts reflects unique historical trajectories and contemporary challenges within media landscapes. This review compares the approaches taken by Australia and Egypt in preparing journalism students for careers in an increasingly complex and digital media environment.

Media and Communication Education in Australia

Contemporary Western societies today, including countries like Australia, are inherently multicultural due to cultural diversity resulting from individual or familial immigration (Kymlicka, 1995). This multicultural dynamic intersects with journalism in various ways. In Australia, the evolution of media and communication education reflects significant historical shifts and contemporary challenges within the media landscape. Initially introduced as diploma programs at prestigious universities such as Melbourne (1921), Queensland (1921), Sydney (1926), and Western Australia (1928), journalism education underwent reform and expansion following higher education reforms from 1969 onwards (Coleman, 1992; Lloyd, 1985; Stuart, 1996). These reforms aimed to adapt curricula to the changing societal and technological landscapes, fostering a more inclusive approach to multicultural reporting and media representation. By 1988, the establishment of journalism degree programs proliferated across the country, now offered at 32 of Australia’s 40 universities, demonstrating a robust growth trajectory (Tanner et al., 2013; O’Donnell, 2017). Australia’s media origins were marked by a controlled press system under British colonial rule, exemplified by heavily censored newspapers like The Sydney Gazette and The Hobart Town Gazette (Cryle, 1997; Lloyd, 1985). Despite initial constraints, independent newspapers such as The Australian emerged by the mid-1820s, challenging colonial authority and laying the foundation for a more pluralistic media environment (Cryle, 1997).

Contemporary Australian media policy is shaped by legislation such as the Australian Broadcasting Corporation Act 1983 and the Special Broadcasting Service Act 1991, which safeguard editorial independence in state-owned media from government interference (Cunningham & Turnbull, 2014). However, concerns persist over media concentration, particularly with major entities like News Corp Australia dominating the print media landscape (Jones & Pusey, 2010). In response to globalization and digital transformation, journalism education in Australia has adapted, witnessing a significant increase in enrolments and curriculum innovations since the early 21st century (M. O’Donnell et al., 2013; Scanlon, 2009). Modern journalism programs blend liberal arts education with specialized training in areas such as news writing, media law, and digital journalism, reflecting industry demands and enhancing graduate employability (Adams & Duffeld, 2006; Nielsen, 2015).

Educational initiatives promoting industry-university collaboration and emphasizing learning outcomes highlight the contemporary relevance of Australian journalism education (Tanner et al., 2013). Deuze (2006) argues that fostering dialogue about the future of journalism enhances educational outcomes, preparing students for diverse roles in the evolving media landscape. To sum up, the evolution of journalism education in Australia from its colonial roots to its current state underscores its adaptation to technological advancements and industry dynamics. Balancing traditional journalistic values with modern challenges remains pivotal in preparing future media professionals to navigate a complex media environment.

Media and Communication Education in Egypt

Egypt holds a significant place in the history of Arab journalism, marked by milestones such as Napoleon’s establishment of Egypt’s first newspaper after the 1798 French invasion and the subsequent printing of the Arab world’s inaugural Arabic-language newspaper in 1828 (Allam & Amin, 2017). This historical foundation has contributed to Egypt’s reputation for leadership in media within the Arab world, supported by a robust network of over 30 academic journalism and mass communication programs (Allam & Amin, 2017). However, Egypt’s media landscape operates within an authoritarian press system where governmental oversight heavily influences media operations and content (Amin, 2002). Journalists are bound by stringent press codes that mandate adherence to cultural norms and national values while also prohibiting content deemed to challenge societal principles or cause “social confusion” (Allam & Amin, 2017). Such regulatory frameworks reflect prevalent censorship practices across many Arab nations, viewed as a societal responsibility (Allam & Amin, 2017).

Conversely, journalism education in Australia exemplifies a contrasting approach characterized by greater press freedoms and a focus on practical training. Universities such as the University of Melbourne and the University of Sydney emphasize curricula that integrate theoretical knowledge with hands-on experience in media technologies and industry practices (Al Nashmi et al., 2018). According to UNESCO, journalism education should intertwine with studies in arts and sciences to enrich public discourse and adapt to evolving media industry demands (UNESCO, 2007). Yet, challenges persist in aligning curricula worldwide with rapid technological advancements and dynamic industry expectations (Deuze, 2006; Tahat & Self, 2013). Studies indicate that journalism programs in the Arab world often prioritize theoretical coursework, potentially leaving graduates less prepared for professional roles (El-Nawaway, 2007; Kamel & Alabassi, 1997; Tahat & Self, 2013).

Egyptian universities, known for their historical prestige and status as pioneers in Arab journalism education, face ongoing scrutiny regarding the relevance of their curricula in meeting contemporary industry needs (Abu Baker & et al, 1985; Al Nashmi et al., 2018). An exploratory analysis by Al Nashmi et al. (2018) categorizes and evaluates these programs based on their structure and alignment with industry standards, highlighting the necessity for innovative approaches in curriculum design. Deuze (2006) categorizes journalism education into two modes: the “follower” mode, focused on current industry practices, and the “innovator” mode, preparing students for future industry trends. This dichotomy underscores the evolving nature of global journalism education and the imperative for programs to adapt to rapid technological advancements and shifting media landscapes.

While Egyptian journalism schools, rooted in a rich historical legacy, contend with challenges posed by authoritarian press systems and theoretical-heavy curricula. In contrast, Australian universities adopt a more dynamic approach, blending foundational theories with practical skills tailored to meet contemporary industry demands. Moving forward, striking a balance between tradition and innovation in journalism education will be crucial for both Egypt and Australia in preparing graduates effectively for careers in an increasingly digital and globally interconnected media environment.

AI technologies have significantly impacted journalism, not only by introducing new tools but also by transforming journalistic practices into areas such as content creation, audience engagement, and ethical considerations. Automated journalism platforms, such as Bloomberg’s Cyborg and the Los Angeles Times’ Quakebot, generate reports and news updates with speed and efficiency beyond human capabilities (Dierickx, 2023; Frary, 2019). AI applications like natural language processing (NLP) tools, including ChatGPT, have also become essential in modern newsrooms, supporting tasks such as news gathering, transcription, and content generation (Brennen et al., 2020). These technologies do not simply streamline existing workflows; they enable innovative forms of content production and distribution, thereby reshaping the media landscape.

AI’s impact extends beyond technical proficiency, introducing crucial ethical considerations for journalism. The integration of AI raises concerns about algorithmic bias, privacy, and misinformation, which can challenge journalistic integrity if left unchecked (Tufekci, 2015). Ethical education in journalism is therefore critical, as it prepares students to confront these issues responsibly and equips them to use AI tools thoughtfully within media contexts (Diakopoulos, 2019; Floridi et al., 2018). Developing both technical skills and ethical awareness ensures that future media professionals are capable of navigating AI’s complexities while upholding standards of integrity.

Existing literature underscores the need for educational institutions to incorporate AI literacy into media curricula, addressing both the practical and ethical dimensions of AI. However, barriers to integration persist, particularly in resource-constrained regions. The digital divide, a persistent disparity between the Global North and South, limits access to digital infrastructure and technology in many Global South countries, such as Egypt (Mabweazara, 2021). This divide manifests in outdated telecommunications networks, limited broadband, and restricted access to digital devices, all of which hinder the development of AI-based educational resources (Mabweazara, 2013). In contrast, Australia benefits from a more robust digital infrastructure, although rural universities often face limitations in AI access, affecting the opportunities available to students outside metropolitan areas (Boczkowski et al., 2020).

Human capital and faculty expertise further affect AI integration in educational contexts. In regions like Egypt, faculty often lack specialized AI training due to limited professional development opportunities, constraining their ability to teach advanced AI concepts. Even in Australia, where access to training resources is generally better, faculty struggle to keep up with AI’s rapid advancements, a challenge noted across the field (Carlson & Anderson, 2018b). The disparity in resources and expertise between Australia and Egypt reflects the need for sustained, consistent AI training for educators to ensure that curricula are current and relevant.

In addition, ethical considerations, such as privacy, algorithmic bias, and the spread of misinformation, complicate AI’s role in journalism. The “human-in-the-loop” approach, which emphasizes the importance of retaining human oversight in AI-driven processes, is crucial for preserving journalistic integrity (Motoki et al., 2024). Yet, non-WEIRD (Western, Educated, Industrialized, Rich, and Democratic) countries, such as Egypt, often lack region-specific AI guidelines that address local socio-cultural and linguistic contexts. This gap increases the risk of ethical issues and underscores the need for inclusive guidelines that ensure responsible AI usage within media and communication curricula (de-Lima-Santos et al., 2024; Holder-Webb & Cohen, 2012).

Institutional inertia further complicates AI integration, as entrenched educational structures and norms may slow adaptability. Institutional theory suggests that traditional frameworks within universities can impede changes in curricula, as seen in Egypt, where journalism programs may resist AI integration due to long-standing educational structures (Scott, 2008). Even in Australia, established universities can face bureaucratic delays that impede rapid curriculum changes, especially when industry partnerships or targeted resources are lacking (Deuze, 2006). To sum up, the barriers to AI integration in media education in Australia and Egypt—including financial limitations, digital infrastructure disparities, faculty expertise gaps, ethical considerations, and institutional inertia—highlight the importance of tailored approaches. Effective AI integration requires enhanced digital resources, continuous faculty development, and context-specific ethical guidelines to equip future media professionals with the skills and awareness necessary to navigate an AI-driven media landscape responsibly.

While existing literature has explored AI adoption in higher education, there remains a notable gap in comparative studies evaluating the implementation of AI initiatives specifically in journalism and communication programs across global regions. This study aims to address this gap and provide valuable insights for educators, policymakers, and stakeholders invested in advancing journalism education. Through a comparative examination of exemplary universities, this research aims to offer nuanced perspectives on the opportunities and challenges of AI integration within higher education institutions. Nordenstreng (2009) noted in the conclusions of a volume on journalism education in 33 European countries that, even within Europe, the situation of journalism education is quite specific to each country (p. 513). Thus, cross-cultural studies, including those involving Egypt and Australia, can identify the extent to which certain factors may influence students’ views across national borders.

Aims and Objectives

The study aims to compare and analyze how universities in various cultural and educational contexts prepare their media and communication graduates for the AI-driven future, focusing on publicly available course information and curriculum details.

Evaluate how the University of Melbourne and the University of Sydney in Australia integrate generative AI technologies into their media and communication curricula to prepare graduates.

Assess the readiness of the American University in Cairo (AUC) and Cairo University in Egypt in incorporating generative AI into their media and communication programs.

Identify similarities and differences in course offerings, curriculum structures, and educational approaches related to generative AI between selected universities in Egypt and Australia.

Methodology

Data Collection

To explore how universities in Australia and Egypt integrate generative AI into their media and communication curricula, this study analyzed publicly available documents—such as course descriptions, syllabi, and program guides—from the University of Melbourne, University of Sydney, AUC, and Cairo University. These institutions were chosen for their prominence in media education, with Australian universities adopting AI extensively, while Egyptian universities integrated it more gradually due to regulatory and budgetary constraints. This diversity provided valuable insights into the influence of different educational models on AI adoption in media training. The researcher’s academic ties to both countries contributed to a culturally informed, comparative analysis.

The data collection process focused on publicly accessible curriculum documents sourced from official university websites. Relevant courses were identified using keywords related to AI, digital technology, data analytics, and media innovation, prioritizing those within media, journalism, and communication programs that explicitly referenced AI or automation. Informal consultations with academics in both countries helped refine the approach, ensuring a comprehensive view of AI integration while respecting institutional access protocols. A minimum of 15 to 20 documents were collected from each university, focusing on core and elective courses related to AI and digital media. This approach ensured a thorough analysis of each institution’s curriculum. Future research may involve formal engagement with faculty to gain qualitative insights into AI curriculum implementation.

Document Analysis

Publicly available course descriptions, syllabi, and curriculum guides from the University of Melbourne, University of Sydney, AUC, and Cairo University were systematically collected. A minimum of 15 to 20 documents were gathered from each institution, focusing on core and elective courses related to AI and digital media. This approach ensured a thorough analysis of each university’s curriculum and how generative AI technologies were integrated into their media and communication programs. Future research may involve formal engagement with faculty to obtain qualitative insights into the implementation of AI within the curriculum.

Comparative Analysis

Course Offerings

The research compared and analyzed courses specifically related to AI and generative AI offered by each university, focusing on the breadth and depth of AI education provided to media and communication students.

Curriculum Structures

The sequencing and structure of AI-related courses across the universities were examined, identifying core courses, elective options, and any specialized tracks or concentrations within the media and communication programs.

Integration of Practical AI Applications

The study analyzed how practical applications of AI were integrated into the curriculum, examining whether courses included hands-on projects, case studies, or industry collaborations that exposed students to real-world AI technologies.

Pedagogical Methods and Learning Objectives

Pedagogical approaches to teaching AI-related subjects were compared, including learning objectives, teaching methods, assessment strategies, and faculty qualifications in AI education.

Analysis Framework

The collected data were analyzed using qualitative content analysis methods to identify themes and patterns across the universities. Comparative matrices and thematic coding were employed to categorize and compare findings related to course offerings, curriculum structures, practical applications, and pedagogical methods.

Expected Contributions

This research aims to contribute to the understanding of how universities in Australia and Egypt are preparing their media and communication graduates for the AI-driven future. By assessing strengths and weaknesses in current curricula and educational approaches, the study intends to provide insights that can inform curriculum development and enhancement efforts in both regions. Specifically:

Identify best practices in AI education within media and communication programs.

Highlight areas for improvement and innovation in integrating AI technologies into curricula.

Offer recommendations for enhancing educational outcomes and preparing graduates to navigate AI challenges in media and communication fields.

Through rigorous document analysis and comparative analysis, this study seeks to provide a comprehensive assessment of AI education across diverse cultural and educational contexts, fostering dialogue on the future of media and communication education in the era of AI.

Findings

This comparative analysis examines the media and communication programs at Cairo University, the University of Melbourne, the University of Sydney, and the AUC. While each institution provides a robust education in media theory, digital media, and communication research methods, there is a notable absence of AI education within their curricula. For instance, at Cairo University, the Faculty of Mass Communication offers a balanced mix of theoretical and practical courses, specializations, internships, and research opportunities, preparing students for diverse media careers. However, the program does not include AI-focused courses, potentially leaving graduates unprepared for the modern media landscape where AI plays a significant role. Moreover, the AUC’s Communication and Media Arts program focuses on practical experience through media production labs and real media projects. Despite this hands-on approach, the curriculum does not address AI education, potentially disadvantaging students in an industry increasingly driven by AI technologies.

Similarly, the University of Melbourne and the University of Sydney both emphasize digital media and practical skills, providing a solid foundation for integrating AI-related topics. Nevertheless, their programs lack explicit AI education, which is essential for understanding AI-driven media analytics, content creation, and digital marketing. Incorporating AI-specific modules could significantly enhance their relevance and competitiveness. Table 1 shows the key similarities and differences among the selected universities.

Table 1.

Similarities and Differences in Australian and Egyptian Universities.

Aspect	Cairo University	University of Melbourne	University of Sydney	American University in Cairo
Theoretical courses	Media theories, communication models	Media theory, communication research	Media theory, communication research	Media theory, communication research
Practical courses	Journalism, broadcasting, digital media	Digital media, practical skills	Digital media, media production	Media production labs, real projects
Specializations	Journalism, broadcasting, digital media, public relations, advertising	Various media and communication specializations	Various media and communication specializations	Communication and Media Arts specializations
Internships/training	Yes	Yes	Yes	Yes
AI education	None	None	None	None
Career prospects	Journalism, broadcasting, digital media, PR, advertising, media research	Digital media, content creation, media analytics, marketing	Digital media, media analysis, communication strategy	Media production, digital strategies, media management
Facilities/resources	Modern facilities and equipment	Advanced digital media facilities	Advanced digital media facilities	Media production labs
Research and projects	Yes	Yes	Yes	Yes

Details of media and communication courses in the best universities in Australia and Egypt are detailed in the following sections:

Cairo University, Egypt

Cairo University, a leading Egyptian institution, provides comprehensive media programs with potential for inclusion of emerging technologies such as AI within relevant disciplines. The Faculty of Mass Communication at Cairo University offers a comprehensive program in media and communication. The media and communication program at Cairo University is comprehensive and well-rounded, designed to prepare students for successful careers in the media industry. With a mix of theoretical knowledge, practical skills, and industry exposure, students are equipped to meet the challenges of the rapidly evolving media landscape. This program is ideal for students passionate about media and communication, offering them the tools and opportunities to excel in their chosen careers.

Theoretical Courses: Cairo University’s media and communication program includes a robust selection of theoretical courses, covering media theories, communication models, and foundational principles. This curriculum aims to provide students with an in-depth understanding of the key concepts that underpin media and communication studies.

Practical Courses: Practical coursework at Cairo University encompasses journalism, broadcasting, and digital media production. These hands-on courses enable students to develop technical skills across various media formats, supported by access to modern facilities and equipment.

Specializations: Students at Cairo University can pursue specializations in journalism, broadcasting, digital media, public relations, and advertising. Each pathway is designed to deliver specialized knowledge and competencies relevant to that field, preparing students for targeted career paths.

Internships/Training: The program includes internships and practical training opportunities, which are essential for students to gain real-world experience and an understanding of industry practices. These experiences help bridge the gap between theoretical knowledge and practical application.

AI Education: Currently, Cairo University’s media program does not offer specific AI-related courses, which may limit graduates’ readiness for AI-driven media roles. Adding AI modules could enhance the program’s relevance in media analytics and digital marketing.

Career Prospects: Graduates are prepared for diverse roles within journalism, broadcasting, digital media production, public relations, advertising, and media research. This range of career paths highlights the program’s comprehensive skill development and industry applicability.

Facilities/Resources: The Faculty of Mass Communication at Cairo University is equipped with modern facilities and resources, supporting students in their practical training and media production work.

Research and Projects: Cairo University encourages research activities and projects, fostering critical thinking and allowing students to apply theoretical knowledge to real-world media issues. This focus on research contributes to the students’ analytical capabilities in the field.

University of Melbourne, Australia

The University of Melbourne exhibits strong research capabilities in media and communication studies, complemented by dedicated centers and initiatives exploring AI’s implications in media practices. For instance, the Centre for AI and Digital Ethics at the University of Melbourne underscores the ethical dimensions of AI applications, including generative AI, within media and communication contexts. Media and Communications course at the University of Melbourne is structured to provide a comprehensive understanding of media industries, communication practices, and their impact on society.

Theoretical Courses: The University of Melbourne’s media and communication program provides a foundation in media theory and communication research, emphasizing critical analysis and the understanding of media’s societal role. These theoretical courses establish a rigorous academic framework for the study of media.

Practical Courses: Students engage in practical training in digital media production, enhancing their ability to work with modern digital platforms. These courses aim to develop practical media skills that are relevant to industry standards.

Specializations: The program offers a variety of specializations within media and communication, allowing students to tailor their studies toward specific media fields, such as digital content creation and communication strategy.

Internships/Training: Practical training opportunities, including internships, are available, providing students with valuable industry experience. These experiences prepare students for professional roles in the media sector and build industry connections.

AI Education: Currently, there is no dedicated AI coursework in the media and communication program at the University of Melbourne. Adding AI-focused modules would prepare students for the growing role of AI in areas like media analytics, content creation, and digital strategy.

Career Prospects: Graduates from the University of Melbourne’s program are well prepared for roles in digital media, content creation, media analytics, and marketing. The program’s strong emphasis on practical skills enhances their competitiveness in a technology-driven media landscape.

Facilities/Resources: The university is equipped with advanced digital media facilities that support students in media production and content creation activities, providing a professional environment for practical learning.

Research and Projects: A significant emphasis is placed on research, with students encouraged to pursue independent projects in areas such as digital culture and media effects. This research component develops critical analytical skills and contributes to a deeper understanding of media’s societal impact.

University of Sydney, Australia

The Media and Communications course at the University of Sydney is designed to provide a comprehensive education in media studies, communication theory, and practical skills for the media industry. This structure ensures that students receive a balanced education, combining theoretical knowledge with practical application, to prepare them for diverse roles in the media and communication fields.

Theoretical Courses: The University of Sydney’s media and communication program incorporates media theory and communication research courses, focusing on media’s impact on society and ethical issues in communication. These theoretical courses provide a solid foundation for understanding media dynamics.

Practical Courses: Practical training is a key component, with courses covering digital media practices and media production. This hands-on training equips students with the skills needed to create content across various media formats, supported by workshops and industry-standard facilities.

Specializations: Students have access to various specializations within the media and communication field, enabling them to focus on specific areas such as journalism, strategic communication, and media production.

Internships/Training: The program includes internship opportunities and industry placements, offering students practical exposure and experience that are essential for a successful transition into media careers.

AI Education: Currently, the University of Sydney’s media program does not include specific AI education. Integrating AI-focused courses could strengthen the curriculum by preparing students for AI-driven roles in digital media and audience analysis.

Career Prospects: Graduates are well equipped for careers in digital media, media analysis, communication strategy, and consultancy. The program’s balance of theoretical and practical elements supports versatile career opportunities in the media sector.

Facilities/Resources: The University of Sydney offers advanced digital media facilities, providing students with the tools needed for media production and content creation. These resources support a hands-on learning approach within the program.

Research and Projects: The program includes a strong research component, encouraging students to undertake projects in media analysis and communication strategies. This focus on research contributes to the students’ critical thinking and analytical abilities.

AUC, Egypt

The AUC and Cairo University in Egypt offer diverse curricula in media and communication studies. AUC is renowned for its international outlook. The Communication and Media Arts program at the AUC offers a comprehensive curriculum designed to equip students with both theoretical knowledge and practical skills in media and communication. Here are the key points from the document:

Theoretical Courses: The Communication and Media Arts program at the AUC covers key theoretical courses in media theory, media ethics, and strategic communication. These courses are designed to build a strong foundational knowledge of media and communication principles.

Practical Courses: Practical training is emphasized through media production labs and real-world projects, providing students with hands-on experience in digital media and communication practices.

Specializations: The program offers specializations within the broader field of Communication and Media Arts, allowing students to focus on areas such as multimedia journalism, advertising, and public relations.

Internships/Training: Internships and practical training are an integral part of the curriculum, enabling students to gain practical experience and industry insights through real media projects and production labs.

AI Education: There is currently no specific AI education within the program. Adding AI-focused modules could provide students with relevant skills for AI-driven media roles, such as automated content creation and AI-enhanced digital marketing.

Career Prospects: Graduates are well prepared for roles in media production, digital strategies, and media management, with an emphasis on both theoretical understanding and practical expertise in media applications.

Facilities/Resources: The university provides modern media production labs that support hands-on learning and media project development, contributing to a robust learning environment.

Research and Projects: A strong emphasis on research encourages students to engage in independent projects, allowing them to apply their theoretical knowledge and critical thinking to practical media issues. This research component supports academic growth and career readiness.

Discussion

The comparative analysis of media and communication programs at Cairo University, the University of Melbourne, the University of Sydney, and the AUC highlights a pressing need for the inclusion of AI-focused education. Despite these programs’ solid grounding in media theory, digital media, and research methods, they lack explicit modules dedicated to AI, an omission that may compromise graduates’ preparedness for an increasingly AI-driven industry (Schwab, 2017). Integrating generative AI content holds significant potential for transforming media and communication through innovations in content creation, personalization, and audience analytics (Floridi et al., 2018). Without dedicated AI coursework, students are at risk of missing critical skills needed for emerging AI-focused roles, particularly in understanding AI’s impact on media production, ethical considerations, and data-driven personalization (Vincent, 2019). The absence of these courses across all four universities may thus limit graduates’ competitiveness in a technology-forward job market.

Role of Educational Institutions in Addressing Industry Shifts

Educational institutions in Australia and Egypt play a vital role in equipping students to navigate and excel in the fast-evolving media landscape by incorporating AI education into journalism and communication curricula. Such integration is essential for developing competencies in data analytics, algorithmic processes, and ethical evaluation—all of which are crucial for success in an AI-centered media environment (Carlson & Anderson, 2018b). Without a foundation in AI literacy, graduates may find their employability restricted, as they lack the skills necessary for roles demanding proficiency in these tools. In a media industry increasingly shaped by digital transformation, AI enables task automation, enhances data-driven storytelling, and refines audience targeting (Anderson et al., 2015). Students unfamiliar with AI technologies may struggle to keep pace in this competitive, tech-focused environment (Flew, 2019). Therefore, it is vital for universities, particularly in the diverse contexts of Australia and Egypt, to recognize and address the challenges and opportunities that accompany AI adoption in media studies.

Socio-Cultural and Regional Contexts in AI Integration

The integration of AI in educational institutions in Australia and Egypt reflects their distinct socio-cultural, political, and regional landscapes. Australian universities like the University of Melbourne and the University of Sydney benefit from a developed digital infrastructure and government policies supportive of technological innovation (Deloitte, 2020). These favorable conditions have supported the growth of research centers dedicated to exploring AI’s impact across various sectors, including media (Flew et al., 2022). Conversely, universities in Egypt, such as Cairo University and the AUC, encounter challenges in AI integration due to resource constraints and varying educational priorities. Nonetheless, there is a growing awareness of AI’s importance within Egypt’s rapidly digitizing media environment, propelled by the increasing role of AI in media analytics and digital marketing (Al-Rawi, 2019). To address AI adoption in both regions, media programs should not merely replicate Western-centric models but should consider local needs, resources, and ethical perspectives (Munoriyarwa et al., 2023).

The Changing Media Landscape in the Middle East and North Africa and Australia

The Middle East and North Africa (MENA) region’s media landscape is rapidly evolving, characterized by growing digital media consumption and the integration of AI in content creation and distribution (Mellor, 2020). For media and communication programs in Egypt, incorporating AI education could prepare students to meet industry demands in this fast-developing digital media environment. Similarly, in Australia, AI-driven innovation is increasingly prominent, and Australian universities can lead by embedding AI-focused courses in media curricula, thereby aligning graduate skills with future industry needs (Flew et al., 2022). Faculty expertise, research initiatives, and industry partnerships play crucial roles in successfully integrating AI technologies into curricula. At the AUC and Cairo University, faculty with AI and media expertise can drive curriculum development. In Australia, the University of Melbourne and the University of Sydney benefit from dedicated centers exploring AI’s implications in media, which can support curriculum enhancements (Anderson, 2021).

Infrastructure and Industry Engagement

Effective AI education requires universities to provide access to advanced computational resources and research labs that enable hands-on learning experiences. Both Egyptian and Australian universities have opportunities to support students’ practical AI skills through such infrastructure, essential for applied learning and research in AI-related fields (Schlesinger, 2020). In addition, partnerships with industry are critical, offering students exposure to real-world AI applications in media and communication. Collaboration with media organizations and technology firms can provide valuable internships, project opportunities, and insights into AI-driven workflows, better preparing students for the AI-driven workplace (Deloitte, 2020).

Future Directions for AI Education in Media Programs

Deuze (2006) describes two educational approaches for media and communication: the “follower” mode, aimed at equipping students with current industry skills, and the “innovator” mode, designed to prepare them for rapid industry shifts. In today’s dynamic media landscape, an “innovator” approach is crucial. To address AI education gaps, universities should consider adding modules on AI in media production, AI-enhanced content creation, and ethical issues related to AI in media (Susskind, 2020). Partnerships with industry for practical AI training, alongside continuous curriculum updates to reflect AI advancements, would further enhance graduates’ competencies (Brennen et al., 2020). Addressing ethical considerations in AI is also essential. Integrating discussions on AI ethics, bias, and societal impact into the curriculum ensures that graduates develop a comprehensive understanding of the ethical complexities surrounding AI in media (Whittaker & et al, 2018). This balanced approach would provide students not only with technical skills but also with the critical thinking and ethical awareness necessary for responsible AI use in media and communication.

In sum, by integrating AI education into journalism and communication programs, educational institutions in Australia and Egypt can equip students with skills critical for navigating the future media landscape. Ensuring AI literacy, practical experience, and ethical understanding in these programs can bridge the digital divide and foster a more inclusive and innovative media environment, aligning with broader digital and sustainable development goals.

Limitations

This study primarily relied on publicly available course information and curriculum details, which may not fully capture the extent of AI integration in practice. The analysis was limited to four universities, which, while representative, may not reflect the global diversity of media and communication programs. Future research could benefit from direct surveys and interviews with faculty members and students to gain a deeper understanding of how AI is being integrated into media education. In addition, longitudinal studies tracking the career outcomes of graduates from these programs could provide more comprehensive insights into the long-term impacts of AI education on professional success in the media industry (Tuomi, 2019). Moreover, solely studying courses available online limits the scope of this project and the possibilities to generalize conclusions to the broader field of journalism education. Therefore, the conclusions should be regarded as pointers rather than encompassing statements of “how things really are” (or should be). However, it is encouraging to note that the available detailed descriptions of courses, including electives (as in third- or fourth-year classes), were comprehensive. The websites used, especially for Egyptian universities, did not indicate that significant portions of the curriculum were not available online.

Integrating faculty interviews and student surveys in future research can provide crucial insights that go beyond the formal structure of curriculum documents. Document analysis, while valuable, captures only the intended or stated curriculum—what the institution publicly presents. By contrast, qualitative insights from faculty and students can reveal how AI education is implemented and experienced within these programs, including unrecorded challenges, adaptation strategies, and individual perspectives. Given the researcher’s base in Australia, ethics approval would be required to conduct interviews and surveys with faculty and students, especially in Australian universities. The ethics review process ensures that participant privacy and ethical research standards are maintained, but this can be time-intensive, potentially requiring several months for approval. To mitigate delays, the study can proceed in stages, with the qualitative phase integrated as soon as ethics clearance is obtained. By supplementing the document analysis with qualitative data, future research could offer a more comprehensive view of how AI integration is operationalized and experienced, capturing both the explicit curriculum and the experiential realities within these institutions.

In addition to examining programs that explicitly address multiculturalism, courses containing references to minorities, race or racism, underprivileged communities, inter- and cross-cultural communication, and specific issues of representation or social responsibility were analyzed as well. Multiculturalism can be seen as a broad concept, encompassing all these topics and more. Hence, the emphasis was on programs that explicitly address multiculturalism per se, allowing for international comparison. The literature shows that the underlying aspects of the concept (such as notions of “race,” for example) can have different meanings in different contexts, cultures, and countries (Cottle, 2000). Two further remarks on the limits of this study must be made. First, one cannot assume that applying aspects of multiculturalism in courses necessarily correlates with mentioning these explicitly in descriptions. In addition, significant socio-cultural, political, and regional differences between Australia and Egypt affect how media and communication curricula are developed and implemented. For example, Australia’s multicultural society is reflected in its media education, which often emphasizes diversity and inclusivity. In contrast, Egyptian universities may focus more on national identity and regional issues.

Furthermore, the changing media landscape in the MENA region, driven by political shifts and technological advancements, contrasts with the media landscape in Australia, where there is a strong emphasis on innovation and adapting to global trends. These regional differences highlight the importance of context-specific approaches to integrating AI and multiculturalism in media education. In sum, while this study provides valuable insights, the limitations underscore the need for more comprehensive and varied research methods to fully understand the integration of AI in media and communication education across different contexts.

Conclusion

This study aimed to compare and analyze how universities in different cultural and educational contexts prepare their media and communication graduates for an AI-driven future. The analysis revealed that the University of Melbourne, the University of Sydney, Cairo University, and the AUC all provide robust media and communication programs but lack explicit AI education. To prepare graduates adequately, these universities must evolve to include AI-related courses in their curricula. By doing so, they can ensure their programs remain competitive and relevant, equipping students with the necessary skills to thrive in a technologically advanced media landscape. Addressing this educational gap will enhance graduate employability and contribute to the advancement of the media and communication fields, keeping pace with rapid technological advancements (Dwivedi & et al, 2021). In conclusion, while each university context presents unique challenges and opportunities, fostering an inclusive dialogue and collaborative approach across global academic institutions can collectively advance the integration of generative AI technologies into media and communication education. Future research should continue to explore evolving pedagogical practices and industry trends to inform curriculum development and enhance graduate preparedness in an increasingly AI-driven world (Brynjolfsson & McAfee, 2017).

Footnotes

Declaration of Conflicting Interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

The author(s) received no financial support for the research, authorship, and/or publication of this article.

ORCID iD

Muhammad Asim Imran

Author Biography

Muhammad Asim Imran holds a PhD in Media from the University of Adelaide. His research interests include critical discourse analysis, media discourses, news values, and the portrayal of marginalized people in media. He is particularly interested in researching the role of journalists, journalistic practices, ownership, and social practices in constructing identities for different components of society. His work has been published in high-quality journals, such as Australian Journalism Review, Communication Research and Practice, and Media International Australia.

References

Abu Baker

Alkazemi

M. F.

Wanta

. (1985). A study of journalism and communication education in the Arab world. Journal of Arab Studies, 5(2), 78–93.

Adams

Duffeld

(2006). Preparing the journalists of tomorrow: Australian journalism education and industry partnerships. Australian Studies in Journalism, 15, 25–45.

Allam

Amin

(2017). The evolution of Arab journalism education. Journalism Studies Quarterly, 45(2), 112–129.

Al Nashmi

Alkazemi

M. F.

Wanta

(2018). Journalism and mass communication education in the Arab World: Towards a typology. International Communication Gazette, 80(5), 403–425.

Al-Rawi

(2019). Gatekeeping fake news discourses on mainstream media versus social media. Social Science Computer Review, 37(6), 687–704.

Amin

(2002). The Arab Center for the Development of the Rule of Law and Integrity. https://www.arabruleoflaw.org/files/pdf/media/english/p2/egypt_mediareportp2_en.pdf

Anderson

(2021). AI in media and communication education: Current trends and future directions. Journal of Media Education, 33(2), 45–60.

Anderson

Bell

Shirky

(2015). Post-industrial journalism: Adapting to the present. Tow Center for Digital Journalism.

Boczkowski

P. J.

Fletcher

Anderson

C. W.

(2020). News in the age of algorithms: The future of journalism in an AI world. Columbia University Press.

10.

Brennen

Johansen

Nielsen

R. K.

(2020). AI and journalism: How artificial intelligence is transforming the media industry. Reuters Institute for the Study of Journalism.

11.

Brynjolfsson

McAfee

(2017). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.

12.

Carlson

Anderson

(2018a). The ethics of artificial intelligence in journalism. Journalism & Mass Communication Quarterly, 95(1), 3–18. https://doi.org/10.1177/1077699018806123

13.

Carlson

Anderson

(2018b). Teaching artificial intelligence in journalism: Approaches and implications. Journal of Media Education, 10(2), 45–58.

14.

Coleman

(1992). The development of journalism education in Australia. Australian Journalism Review, 14(1), 23–37.

15.

Cottle

(2000). Ethnic minorities and the media. McGraw-Hill Education (UK).

16.

Cryle

(1997). Disreputable profession. Journalists and journalism in colonial Australia. Rockhampton: Central Queensland University Press.

17.

Cunningham

Turnbull

(2014). The media and communications in Australia (4th ed.). Allen & Unwin.

18.

de-Lima-Santos

M. F.

Yeung

W. N.

Dodds

(2024). Guiding the way: A comprehensive examination of AI guidelines in global media. AI & Society. https://doi.org/10.1007/s00146-024-01973-5

19.

Deloitte. (2020). The future of work: The impact of AI on media and entertainment. Deloitte Insights. https://www2.deloitte.com

20.

Deuze

(2006). Global journalism education: A conceptual approach. Journalism Studies, 7(1), 19–34.

21.

Diakopoulos

(2019). Automating the news: How algorithms are rewriting the media. Harvard University Press.

22.

Dierickx

(2023). News automation, materialities, and the remix of an editorial process. Journalism, 24(3), 654–670. https://doi.org/10.1177/14648849211023872

23.

Dwivedi

Y. K.

Hughes

Ismagilova

Aarts

Coombs

Crick

Duan

Dwivedi

Edwards

Eirug

Galanos

Ilavarasan

P. V.

Janssen

Jones

Kar

A. K.

Kizgin

Kronemann

Lal

Lucini

Williams

M. D.

Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002

24.

El-Nawaway

(2007). The discourse of professional identity formation in the Middle East: A cross-cultural comparison. Journalism & Mass Communication Quarterly, 84(1), 7–23.

25.

Flew

(2019). Understanding global media. Palgrave Macmillan.

26.

Flew

Thomas

Holt

(2022). The Sage handbook of the digital media economy.

27.

Floridi

Cowls

Beltrametti

Chatila

Chazerand

Dignum

Luetge

Madelin

Pagallo

Rossi

Schafer

Valcke

Vayena

(2018). AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 28, 689–707.

28.

Frary

(2019). The future is robotic: Would journalists have more time to investigate news stories if robots did the easy bits? Index on Censorship, 48(1), 8–10.

29.

Holder-Webb

Cohen

(2012). The cut and paste society: Isomorphism in codes of ethics. Journal of Business Ethics, 107, 485–509.

30.

Howard

P. N.

Woolley

Calo

(2018). Algorithms, bots, and political communication in the US 2016 election: The challenge of automated political communication for election law and administration. Journal of Information Technology & Politics, 15(2), 81–93. https://doi.org/10.1080/19331681.2018.1448735

31.

Jones

Pusey

(2010). The economic and social implications of digital media. Edward Elgar Publishing.

32.

Kamel

Alabassi

(1997). Media and journalism education in the Arab world: A historical perspective. Journal of Arab Studies, 17(3), 42–56.

33.

Lloyd

C. J.

(1985). Profession-journalist: A history of the Australian journalists’ association. Hale & Iremonger.

34.

Kymlicka

(1995). Multicultural citizenship: A liberal theory of minority rights. Clarendon Press.

35.

Mabweazara

H. M.

(2021). Towards reimagining the ‘digital divide’: Impediments and circumnavigation practices in the appropriation of the mobile phone by African journalists. Information, Communication & Society, 24(3), 344–364.

36.

Marconi

Siegman

(2017). The future of journalism in the age of AI. Reuters Institute for the Study of Journalism.

37.

Mawindi Mabweazara

(2013). Normative dilemmas and issues for Zimbabwean print journalism in the “information society” era. Digital Journalism, 1(1), 135–151.

38.

Mellor

(2020). The changing media landscape in the MENA region. Journal of Middle Eastern Media Studies, 14(1), 1–15.

39.

Mollman

(2022). OpenAI’s ChatGPT reaches over 1 million users: Here’s what that means for the future of AI. TechCrunch.

40.

Motoki

Pinho Neto

Rodrigues

(2024). More human than human: measuring ChatGPT political bias. Public Choice, 198(1), 3–23.

41.

Munoriyarwa

Chiumbu

Motsaathebe

(2023). Artificial intelligence practices in everyday news production: The case of South Africa’s mainstream newsrooms. Journalism Practice, 17(7), 1374–1392.

42.

Nielsen

R. K.

(2015). The professional values of online journalism: A comparison of production and reception ethics. Journalism Studies, 16(5), 648–666.

43.

Nordenstreng

(2009). Conclusions: Soul-searching at the crossroads of European journalism education. In : Terzis

(Ed.), European journalism education (pp. 511–517). Intellect.

44.

O’Donnell

Tanner

Cullen

Green

(2013). Graduate qualities and journalism curriculum renewal: Balancing tertiary expectations and industry needs in a changing environment. http://ro.uow.edu.au/jer/

45.

O’Donnell

(2017). Journalism education in Australia: Educating journalists for convergent, cosmopolitan, and uncertain news environments. The University of Texas at Austin.

46.

Pavlik

J. V.

(2023). Collaborating with ChatGPT: Considering the implications of generative artificial intelligence for journalism and media education. Journalism & Mass Communication Educator, 78(1), 84–93.

47.

Scanlon

(2009, November 23). All those journalism graduates … all these jobs. Crikey. http://www.crikey.com.au/

48.

Schlesinger

(2020). AI and the transformation of media. Media and Cultural Studies Journal, 10(3), 267–290.

49.

Schwab

(2017). The fourth industrial revolution. Crown Publishing Group.

50.

Scott

W. R.

(2008). Institutions and organizations: Ideas and interests. Sage.

51.

Stuart

(1996). Our judges’ credentials. Development of journalism education in Australia to 1987. (PhD Thesis). University of Wollongong, Wollongong.

52.

Susskind

(2020). A world without work: Technology, automation, and how we should respond. Metropolitan Books.

53.

Tahat

Self

(2013). Trends in journalism education in the Arab world: A comparative analysis. Journalism Studies Quarterly, 40(4), 478–495.

54.

Tanner

S. J.

O’Donnell

Cullen

Green

(2013). Graduate qualities and journalism curriculum renewal: Balancing tertiary expectations and industry needs in a changing environment.

55.

Thurman

Fletcher

(2019). Pedagogical responses to the “journalism crisis”: A global survey of journalism educators’ teaching practices, attitudes and perceptions. Journalism Studies, 20(1), 1–21.

56.

Tufekci

(2015). Algorithmic harms beyond Facebook and Google: Emergent challenges of computational agency. Colorado Technology Law Journal, 13(2), 203–222.

57.

Tuomi

(2019). The impact of artificial intelligence on learning, teaching, and education: Policies for the future. JRC Science for Policy Report. European Commission.

58.

United Nations Educational, Scientific and Cultural Organization. (2007). Model curricula for journalism education: A compendium of new syllabi. UNESCO Publishing.

59.

Vincent

(2019). Ethical considerations in AI-driven media. Journal of Digital Ethics, 12(3), 156–173.

60.

Whittaker

Crawford

Dobbe

Fried

Kaziunas

Mathur

West

S. M.

Richardson

Schultz

Schwartz

(2018). AI now report 2018. AI Now Institute.

Comparative Analysis of AI Integration in Media and Communication Curricula: Case Studies From Australia and Egypt

Abstract

Keywords

Introduction

Literature Review

Media and Communication Education in Australia

Media and Communication Education in Egypt

Aims and Objectives

Methodology

Data Collection

Document Analysis

Comparative Analysis

Course Offerings

Curriculum Structures

Integration of Practical AI Applications

Pedagogical Methods and Learning Objectives

Analysis Framework

Expected Contributions

Findings

Cairo University, Egypt

University of Melbourne, Australia

University of Sydney, Australia

AUC, Egypt

Discussion

Role of Educational Institutions in Addressing Industry Shifts

Socio-Cultural and Regional Contexts in AI Integration

The Changing Media Landscape in the Middle East and North Africa and Australia

Infrastructure and Industry Engagement

Future Directions for AI Education in Media Programs

Limitations

Conclusion

Footnotes

Declaration of Conflicting Interests

Funding

ORCID iD

Author Biography

References