This study aimed to validate a multidimensional instrument for assessing distance teaching-learning. It combined factors measuring motivation with instructional material and the teaching-learning experience with peers and teachers. The instrument was administered to 2,984 higher education students in Chile, demonstrating its statistical validity and adequate fit indicators. Consequently, this instrument can confidently evaluate online learning in higher education.
AristovnikA.KeržičD.RavšeljD.TomaževičN.UmekL. (2020). Impacts of the COVID-19 pandemic on life of higher education students: A global perspective. Sustainability, 12(20), 8438. https://doi.org/10.3390/su12208438
3.
BargerA.ByrdK. (2011). Motivation and computer-based instructional design. Journal of Cross-Disciplinary Perspectives in Education, 4(1), 1–9.
4.
BashirA.BashirS.RanaK.LambertP.VernallisA. (2021). Post-COVID-19 adaptations; the shifts towards online learning, hybrid course delivery and the implications for biosciences courses in the higher education setting. Frontiers in Education, 6, 711619. https://doi.org/10.3389/feduc.2021.711619
5.
BelleiC. (2015). El gran experimento: Mercado y privatización de la educación chilena. LOM Ediciones.
6.
BosticJ. D.KrupaE. E.ShihJ. C. (Eds.). (2019). Quantitative measures of mathematical knowledge: Researching instruments and perspectives. Routledge.
7.
ByrneB. M. (2016). Structural equation modeling with Amos: Basic concepts, applications, and programming (3rd ed.). Routledge, Taylor & Francis Group.
DixsonM. D. (2015). Measuring student engagement in the online course: The online student engagement scale (OSE). Online Learning, 19(4), 1–15.
10.
DouglasS.SlusserE.FeltonM. (2023). Academic discourse and peer collaboration in online high school learning environments. Journal of Computer Assisted Learning, 39(5), 1479–1492. https://doi.org/10.1111/jcal.12809
GulbaharY. (2008). ICT usage in higher education: A case study on preservice teacher and instructions. Turkish Online Journal of Educational Technology, 7(1), 32–37.
13.
HamoraL.RabayaM.PentangJ.PizañaA.GamozoM. J. (2022). Students’ evaluation of faculty-prepared instructional modules: Inferences for instructional materials review and revision. Journal of Education, Management and Development Studies, 2(2), 20–29. https://doi.org/10.52631/jemds.v2i2.109
14.
HanH.JohnsonS. D. (2012). Relationship between students? Emotional intelligence, social bond, and interactions in online learning. Educational Technology & Society, 15(1), 78–79.
15.
HanJ.YinH.WangJ. (2018). A case study of faculty perceptions of teaching support and teaching efficacy in China: Characteristics and relationships. Higher Education, 76(3), 519–536. https://doi.org/10.1007/s10734-017-0223-0
16.
InanD. I.HidayantoA. N.JuitaR.HasianC. Y.LuvianK.Leonardo IanS. L.PratamaS. (2023). How personal, technical, social environments affecting generation Z to utilise video-based sharing platform in learning process during crisis?Research and Practice in Technology Enhanced Learning, 19,3. https://doi.org/10.58459/rptel.2024.19003
KellerJ. M. (2010). Motivational design research and development. In KellerJ. M. (Ed.), Motivational design for learning and performance (pp. 297–323). Springer US.
19.
KellerJ. M. (2016). Motivation, learning, and technology: Applying the ARCS-V motivation model. Participatory Educational Research, 3(2), 1–15. https://doi.org/10.17275/per.16.06.3.2
20.
KlineR. B. (2010). Principles and practice of structural equation modeling (3rd ed.). Guilford Press.
21.
KomolafeB. F.FakayodeO. T.OsidipeA.ZhangF.QianX. (2020). Evaluation of online pedagogy among higher education international students in China during the COVID-19 outbreak. Creative Education, 11(11), 2262–2279. https://doi.org/10.4236/ce.2020.1111166
22.
KuoY. C.WalkerA. E.SchroderK. E. E.BellandB. R. (2014). Interaction, Internet self-efficacy, and self-regulated learning as predictors of student satisfaction in online education courses. The Internet and Higher Education, 20, 35–50. https://doi.org/10.1016/j.iheduc.2013.10.001
23.
LeeR.Hoe LooiK.FaulknerM.NealeL. (2021). The moderating influence of environment factors in an extended community of inquiry model of e-learning. Asia Pacific Journal of Education, 41(1), 1–15. https://doi.org/10.1080/02188791.2020.1758032
24.
LiaoH.-C.WangY. (2011). Applying the ARCS motivation model in technological and vocational education. Contemporary Issues in Education Research (CIER), 1(2), 53. https://doi.org/10.19030/cier.v1i2.1202
25.
LouvignéS.UtoM.KatoY.IshiiT. (2017). Social constructivist approach of motivation: Social media messages recommendation system. Behaviormetrika, 45, 133–155. https://doi.org/10.1007/s41237-017-0043-7
26.
LuoN.ZhangM.QiD. (2017). Effects of different interactions on students’ sense of community in e-learning environment. Computers & Education, 115, 153–160. https://doi.org/10.1016/j.compedu.2017.08.006
27.
Makovec RadovanD.RadovanM. (2023). Teacher, think twice: About the importance and pedagogical value of blended learning design in VET. Education Sciences, 13(9), 882. https://doi.org/10.3390/educsci13090882
28.
MiaoJ.ChangJ.MaL. (2022). Teacher–student interaction, student–student interaction and social presence: Their impacts on learning engagement in online learning environments. The Journal of Genetic Psychology, 183(6), 514–526. https://doi.org/10.1080/00221325.2022.2094211
Morales ParadaF.Nova RodríguezF. (2021). Percepción de la educación a distancia de emergencia en año de COVID-19 en carreras de auditoría de universidades chilenas. Revista De Investigación Aplicada En Ciencias Empresariales, 10(1), 54–73. https://doi.org/10.22370/riace.2021.10.1.2977
32.
MorinD.Safaee FardH.George SaadéR. (2019). Understanding online learning based on different age categories. Issues in Informing Science and Information Technology, 16, 307–317. https://doi.org/10.28945/4313
33.
MuiangaX.HanssonH.SuhonenJ. (2019). The role of ICT in the shift towards student-centred learning in higher education Eduardo Mondlane University, Mozambique: A case study. Department of Computer and Systems Sciences, Stockholm University.
34.
MuthuprasadT.AiswaryaS.AdityaK. S.JhaG. K. (2021). Students’ perception and preference for online education in India during COVID -19 pandemic. Social Sciences & Humanities Open, 3(1), 100101. https://doi.org/10.1016/j.ssaho.2020.100101
35.
OngS. G. T.QuekG. C. L. (2023). Enhancing teacher–student interactions and student online engagement in an online learning environment. Learning Environments Research, 26(3), 681–707. https://doi.org/10.1007/s10984-022-09447-5
36.
PhirangeeK.MalecA. (2017) Othering in online learning: an examination of social presence, identity, and sense of community. Distance Education, 38(2), 160–172, https://doi.org/10.1080/01587919.2017.1322457
37.
PiZ.ZhangY.YuQ.YangJ. (2023). A familiar peer improves students’ behavior patterns, attention, and performance when learning from video lectures. International Journal of Educational Technology in Higher Education, 20(1), 47. https://doi.org/10.1186/s41239-023-00418-1
38.
ReynoldsK. M.RobertsL. M.HauckJ. (2017). Exploring motivation: Integrating the ARCS model with instruction. Reference Services Review, 45(2), 149–165. https://doi.org/10.1108/RSR-10-2016-0057
Rodríguez-TrianaM. J.PrietoL. P.LeyT.De JongT.GilletD. (2020). Social practices in teacher knowledge creation and innovation adoption: A large-scale study in an online instructional design community for inquiry learning. International Journal of Computer-Supported Collaborative Learning, 15(4), 445–467. https://doi.org/10.1007/s11412-020-09331-5
41.
SaadatiF.CelisS. (2022). Student motivation in learning mathematics in technical and vocational higher education: Development of an instrument. International Journal of Education in Mathematics, Science and Technology, 11(1), 156–178. https://doi.org/10.46328/ijemst.2194
42.
SchmitzB.HankeK. (2023). Engage me: Learners’ expectancies and teachers’ efforts in designing effective online classes. Journal of Computer Assisted Learning, 39(4), 1132–1140. https://doi.org/10.1111/jcal.12636
43.
ShankarK.AroraP.Binz-ScharfM. C. (2023). Evidence on online higher education: The promise of COVID-19 pandemic data. Management and Labour Studies, 48(2), 242–249. https://doi.org/10.1177/0258042X211064783
44.
SivanE. (1986). Motivation in social constructivist theory. Educational Psychologist, 21(3), 209–233.
45.
TengM. F.YangZ. (2023). Metacognition, motivation, self-efficacy belief, and English learning achievement in online learning: Longitudinal mediation modeling approach. Innovation in Language Learning and Teaching, 17(4), 778–794. https://doi.org/10.1080/17501229.2022.2144327
46.
TondeurJ.CooperM.NewhouseC. P. (2010). From ICT coordination to ICT integration: A longitudinal case study: ICT coordination in primary education. Journal of Computer Assisted Learning, 26(4), 296–306. https://doi.org/10.1111/j.1365-2729.2010.00351.x
47.
TrespalaciosJ.SnelsonC.LowenthalP. R.Uribe-FlórezL.PerkinsR. (2021). Community and connectedness in online higher education: A scoping review of the literature. Distance Education, 42(1), 5–21. https://doi.org/10.1080/01587919.2020.1869524
48.
Vadakalu ElumalaiK.SankarJ. P.KalaichelviR.Ann JohnJ.MenonN.SalemMAlqahtaniM.Abdulaziz AbumelhaM. (2020). Factors affecting the quality of E-learning during the COVID-19 pandemic from the perspective of higher education students. Journal of Information Technology Education: Research, 19, 731–753. https://doi.org/10.28945/4628
49.
ValienteO.ZancajoA.JacovkisJ. (2020). The coordination of skill supply and demand in the market model of skill formation: Testing the assumptions for the case of Chile. International Journal of Lifelong Education, 39(1), 90–103. https://doi.org/10.1080/02601370.2019.1678692
50.
Valverde-BerrocosoJ.Garrido-ArroyoM. D. C.Burgos-VidelaC.Morales-CevallosM. B. (2020). Trends in educational research about e-learning: A systematic literature review (2009–2018). Sustainability, 12(12), 5153.
51.
WangQ.WenY.QuekC. L. (2023). Engaging learners in synchronous online learning. Education and Information Technologies, 28(4), 4429–4452.
52.
WigfieldA.CambriaJ. (2010). Students’ achievement values, goal orientations, and interest: Definitions, development, and relations to achievement outcomes. Developmental Review, 30(1), 1–35. https://doi.org/10.1016/j.dr.2009.12.001
53.
ZapataG.TejedaI. (2016). Publicidad engañosa en educación superior: Definiciones, regulación y una revisión de la publicidad en prensa escrita. Calidad En La Educación, 44, 197–242. https://doi.org/10.4067/S0718-45652016000100008
54.
ZhangS.-N.LiY.-Q.LiuC.-H.RuanW.-Q. (2020). Critical factors identification and prediction of tourism and hospitality students’ entrepreneurial intention. Journal of Hospitality, Leisure, Sport & Tourism Education, 26, 100234. https://doi.org/10.1016/j.jhlste.2019.100234