In recent years, with the general adoption of smartphones with computing power comparable to desktop computers, mobile applications (apps) have experienced a surge in popularity. However, there are few studies conducted about their educational use, especially in Southeast Asia. To close this research gap, this study aims to provide a current overview of mobile apps usage in higher education. Besides exploring the actual use of apps, the technology acceptance model was applied to examine (1) undergraduate students’ perceptions, which involve perceived usefulness and perceived ease of use, towards adopting mobile apps for educational purposes, and (2) their overall attitude toward such adoption. Both quantitative and qualitative methods were used to collect data from 150 undergraduate students in Business, Education, and Engineering in Hong Kong. The results show undergraduate students use mobile apps frequently to engage in learning activities related to their academic studies, with a particularly focus on communication and collaborative working, accessing academic resources, and checking a dictionary. However, the discrepancies in using apps for academic purposes are not significant between the three faculties. Meanwhile, perceived usefulness has a more positive impact on overall attitude compared with the impact of perceived ease of use. The investigation will help tertiary institutions, library service providers, and educators develop and assess strategic planning for education collaborating with mobile apps. This paper could also give app developers some suggestions for app design based on actual usage and students’ information needs.
AharonyN (2014) Library and information science students’ perceptions of m-learning. Journal of Librarianship and Information Science46(1): 48–61.
2.
BellTUrhahneDSchanzeSet al. (2010) Collaborative inquiry learning: Models, tools, and challenges. International Journal of Science Education32(3): 349–377.
3.
BomholdCR (2013) Educational use of smart phone technology: A survey of mobile phone application use by undergraduate university students. Program: Electronic Library and Information Systems47(4): 424–436.
4.
CavusNIbrahimD (2009) M-learning: An experiment in using SMS to support learning new English language words. British Journal of Educational Technology40(1): 78–91.
5.
ChangC-C (2013) Library mobile applications in university libraries. Library Hi Tech31(3): 478–492.
6.
CheP-CLinH-YJangH-Cet al. (2009) A study of English mobile learning applications at National Chengchi University. International Journal of Distance Education Technologies7(4): 38–60.
7.
CheonJLeeSCrooksSMet al. (2012) An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Computers & Education59(3): 1054–1064.
8.
CheongCBrunoVCheongF (2012) Designing a mobile-app-based collaborative learning system. Journal of Information Technology Education11(1): 94–119.
9.
ChiuDKWLeungHF (2005) Towards ubiquitous tourist service coordination and integration: A multi-agent and semantic web approach. In: Proceedings of the 7th international conference on electronic commerce (ICEC’05) (eds LiQTPLiang), Xian, China, 15–17 August 2005, pp. 574–581. New York: ACM.
10.
ChiuDKWCheungSCLeungHF (2005) A multi-agent infrastructure for mobile workforce management in a service oriented enterprise. In: Proceedings of the 38th annual Hawaii international conference on system sciences (HICSS’05), Big Island, HI, USA, 3–6 January 2005, pp. 85c–85c. Washington, DC: IEEE.
11.
ChoSK (2007) Current status and future of MALL. Multimedia Assisted Language Learning10(3): 197–211.
12.
CochraneTBatemanR (2010) Smartphones give you wings: Pedagogical affordances of mobile Web 2.0. Australasian Journal of Educational Technology26(1): 1–14.
13.
CorbeilJRValdes-CorbeilME (2007) Are you ready for mobile learning?Educause Quarterly30(2): 51–58.
14.
CreswellJW (2003) Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, 2nd edn.Thousand Oaks, CA: SAGE.
15.
CromptonH (2013) A historical overview of m-learning: Toward learner-centered education. In: BergeZLMuilenburgLY (eds) Handbook of Mobile Learning. New York: Routledge, pp. 3–14.
16.
DahlstromE (2012) ECAR Study of Undergraduate Students and Information Technology, 2012. Louisville, CO: EDUCAUSE Center for Applied Research.
17.
DavisFD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly13(3): 319–340.
18.
DavisFD (1993) User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies38(3): 475–487.
19.
DysonLELitchfieldALawrenceEet al. (2009) Advancing the m-learning research agenda for active, experiential learning: Four case studies. Australasian Journal of Educational Technology25(2): 250–267.
20.
El-HusseinMOMCronjeJC (2010) Defining mobile learning in the higher education landscape. Journal of Educational Technology & Society13(3): 12–21.
21.
FuegenS (2012) The impact of mobile technologies on distance education. TechTrends56(6): 49–53.
22.
HaagJ (2011) From elearning to mlearning: The effectiveness of mobile course delivery. In: Proceedings of the interservice/industry training, simulation & education conference 2011 (I/ITSEC 2011), Orlando, FL, USA, 28 November–1 December 2011. Available at: https://adlnet.gov/adl-assets/uploads/2015/11/e_to_mLearning_paper.pdf (accessed 19 July 2016).
23.
HallB (2008) Five trends in the LMS market. Chief Learning Officer7(1): 16.
24.
HoKKW (2014) The role of learners’ academic background on e-learning: An empirical study on the use of discussion form. International Journal of Systems and Service-Oriented Engineering4(4): 51–64.
25.
JohnsonLAdams BeckerSEstradaVet al. (2014) NMC Horizon Report 2014–Higher Education Edition. Austin, TX: New Media Consortium.
26.
KearneyMSchuckSBurdenKet al. (2012) Viewing mobile learning from a pedagogical perspective. Research in Learning Technology20(1): Paper No. 14406.
27.
KeeganD (2002) The Future of Learning: From eLearning to mLearning. Available at: http://eric.ed.gov/?id=ED472435 (accessed 19 July 2016).
28.
KimJIlonLAltmannJ (2013) Adapting smartphones as learning technology in a Korean university. Journal of Integrated Design & Process Science17(1): 5–16.
29.
LaiCWangQLeiJ (2012) What factors predict undergraduate students’ use of technology for learning? A case from Hong Kong. Computers & Education59(2): 569–579.
30.
LaourisYEteokleousN (2005) We need an educationally relevant definition of mobile learning. In: Proceedings of the 4th world conference on mobile learning, Cape Town, South Africa, 25–28 October 2005, pp. 290–294.
31.
LeiSA (2010) Intrinsic and extrinsic motivation: Evaluating benefits and drawbacks from college instructors’ perspectives. Journal of Instructional Psychology37(2): 153–160.
32.
LeeYKozarKALarsenKRT (2003) The technology acceptance model: Past, present, and future. Communications of the Association for Information Systems12(1): Article 50.
33.
LinM-FGFulfordCNakayamaN (2011) Educational mobile apps scavenger hunt: Challenges, possibilities, and beyond. In: Proceedings of global learn Asia Pacific 2011 (eds BartonSHedbergJSuzukiJ) Melbourne, Australia, 28March–1April2011, pp. 190–199. AACE.
34.
LiuYLiHCarlssonC (2010) Factors driving the adoption of m-learning. An empirical study. Computers & Education55(3): 1211–1219.
35.
NaismithLSharplesMVavoulaGet al. (2004) Literature Review in Mobile Technologies and Learning. Bristol: Futurelab.
36.
NevinR (2009) Supporting 21st century learning through Google apps. Teacher Librarian37(2): 35–38.
37.
NgCWChiuDK (2006) e-Government integration with web services and alerts: A case study on an emergency route advisory system in Hong Kong. In: Proceedings of the 39th annual Hawaii international conference on system sciences (HICSS’06), Kauia, HI, USA, 4–7 January 2006, vol. 4, pp. 70b–70b. Washington, DC: IEEE.
38.
NorrisCASolowayE (2011) Learning and schooling in the age of mobilism. Educational Technology51(6): 3–10.
O’DonoghueJ (2010) Technology-Supported Environments for Personalized Learning: Methods and Case Studies. Hershey, PA: IGI Global.
41.
ParkSY (2009) An analysis of the technology acceptance model in understanding university students’ behavioral intention to use e-learning. Educational Technology & Society12(3): 150–162.
42.
ParkSYNamM-WChaS-B (2012) University students’ behavioral intention to use mobile learning: Evaluating the technology acceptance model. British Journal of Educational Technology43(4): 592–605.
43.
ParkY (2011) A pedagogical framework for mobile learning: Categorizing educational applications of mobile technologies into four types. International Review of Research in Open and Distributed Learning12(2): 78–102.
44.
PrenskyM (2001) Digital natives, digital immigrants: Part 1. On the Horizon9(5): 1–6.
45.
RingleCMWendeSWillA (2005) SmartPLS 2.0 (beta). Available at: http://www.smartpls.de (accessed 19 July 2016).
46.
RoschelleJ (2003) Keynote paper: Unlocking the learning value of wireless mobile devices. Journal of Computer Assisted Learning19(3): 260–272.
47.
RosliMIsmailIIdrusRMet al. (2010) Adoption of mobile learning among distance education students in Universiti Sains Malaysia. International Journal of Interactive Mobile Technologies4(2): 24–28.
StockwellG (2010) Using mobile phones for vocabulary activities: Examining the effect of the platform. Language Learning & Technology14(2): 95–110.
50.
TashakkoriACreswellJW (2007) The new era of mixed methods. Journal of Mixed Methods Research1(1): 3–7.
51.
TraxlerJ (2007) Defining, discussing and evaluating mobile learning: The moving finger writes and having writ. International Review of Research in Open and Distributed Learning8(2): Article 2.
52.
TraxlerJ (2010) Distance education and mobile learning: Catching up, taking stock. Distance Education31(2): 129–138.
53.
Vázquez-CanoE (2014) Mobile distance learning with smartphones and apps in higher education. Educational Sciences: Theory & Practice14(4): 1505–1520.
54.
VibergOGrönlundÅ (2013) Cross-cultural analysis of users’ attitudes toward the use of mobile devices in second and foreign language learning in higher education: A case from Sweden and China. Computers & Education69: 169–180.
55.
WuW-HWuY-CJChenC-Yet al. (2012) Review of trends from mobile learning studies: A meta-analysis. Computers & Education59(2): 817–827.
56.
YanZDongYNiemiVet al. (2013) Exploring trust of mobile applications based on user behaviors: An empirical study. Journal of Applied Social Psychology43(3): 638–659.
