College students’ use and acceptance of emergency online learning due to COVID-19
Tóm tắt
Từ khóa
Tài liệu tham khảo
Abdullah, 2016, Developing a general extended technology acceptance model for E-learning (GETAMEL) by analysing commonly used external factors, Computers in Human Behavior, 56, 238, 10.1016/j.chb.2015.11.036
Albelbisi, 2019, Factors influencing learners’ self –regulated learning skills in a massive open online course (MOOC) environment, Turkish Online Journal of Distance Education, 20, 1, 10.17718/tojde.598191
Alghamdi, 2020, Online and face-to-face classroom multitasking and academic performance: Moderated mediation with self-efficacy for self-regulated learning and gender, Computers in Human Behavior, 102, 214, 10.1016/j.chb.2019.08.018
Ali, 2020, Online and remote learning in higher education institutes: A necessity in light of COVID-19 pandemic, Higher Education, 10
Bali, 2018, Students’ perceptions toward online learning and face-to-face learning courses, Journal of Physics: Conference Series, 1108, 12094
Bandura, 1977, Self-efficacy: Toward a unifying theory of behavioral change, Psychological Inquiry, 84, 191
Bower, 2019, Technology‐mediated learning theory, British Journal Education Technology, 50, 1035, 10.1111/bjet.12771
Cao, 2020, The psychological impact of the COVID-19 epidemic on college students in China, Psychiatry Research, 10.1016/j.psychres.2020.112934
Centers For Disease Control and Prevention (CDC) (2020). Coronavirus Disease 2019 (COVID-19). https://www.cdc.gov/coronavirus/2019-ncov/index.html, https://www.cdc.gov/coronavirus/2019-ncov/faq.html#Coronavirus-Disease-2019-Basics
Crawford, 2020, COVID-19: 20 countries' higher education intra-period digital pedagogy responses, Journal of Applied Teaching and Learning (JALT), 3
Daniel, 2020, Education and the COVID-19 pandemic, Prospects, 1
GarcíaBotero, 2018, Acceptance and usage of mobile assisted language learning by higher education students, Journal of Computing in Higher Education, 30, 426, 10.1007/s12528-018-9177-1
Gonzalez, T., de la Rubia, M., Hincz, K., Lopez, M.C., .Subirats, L., Fort, S. et al. (2020, 20). Influence of COVID-19 confinement in students’ performance in higher education. https://doi.org/10.35542/osf.io/9zuac
Heckel, 2019, Pride and anxiety in online learning environments: Achievement emotions as mediators between learners' characteristics and learning outcomes, Journal of Computer Assisted Learning, 35, 667, 10.1111/jcal.12367
Hodges, C., Moore, S., Lockee, B., Trust, T., & Bond, A. (2020). The difference between emergency remote teaching and online learning. EDUCAUSE Review. https://er.educause.edu/articles/2020/3/the-difference-between-emergency-remote-teachingand-online-learning
Huang, 2020
Jayaprabha, 2020, The best online teaching for Covid19, Purakala with ISSN 0971-2143 is an UGC CARE Journal, 31, 178
Kemp, 2019, A taxonomy of factors affecting attitudes towards educational technologies for use with technology acceptance models, British Journal Education Technology, 50, 2394, 10.1111/bjet.12833
Murphy, 2020, COVID-19 and emergency eLearning: Consequences of the securitization of higher education for post-pandemic pedagogy, Contemporary Security Policy, 10.1080/13523260.2020.1761749
Myers, 2019, Effectiveness of the fun for wellness online behavioral intervention to promote well-being and physical activity: Protocol for a randomized controlled trial, BMC Public Health, 19, 737, 10.1186/s12889-019-7089-2
Saade, 2005, The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: An extension of the technology acceptance model, Information & Management, 42, 317, 10.1016/j.im.2003.12.013
Sun, 2018, Applying learning analytics to explore the effects of motivation on online students' reading behavioral patterns, International Review of Research in Open and Distributed Learning, 19, 10.19173/irrodl.v19i2.2853
Tarhini, 2016, Examining the moderating effect of individual-level cultural values on users’ acceptance of E-learning in developing countries: A structural equation modeling of an extended technology acceptance model, Interactive Learning Environments, 3, 306
Teran-Guerrero, 2019, Aceptación de los estudiantes universitarios en el uso de los sistemas e-learning Moodle desde la perspectiva del modelo TAM.//Acceptance of university students in the use of Moodle e-learning systems from the perspective of the TAM model, Revista Ciencia UNEMI, 12, 63, 10.29076/issn.2528-7737vol12iss29.2019pp63-76p
Tichavsky, 2015, “It's just nice having a real teacher”: Student perceptions of online versus face-to-face instruction, International Journal for the Scholarship of Teaching and Learning, 9, 10.20429/ijsotl.2015.090202
Wang, 2013, Students’ characteristics, self-regulated learning, technology self-efficacy, and course outcomes in online learning, Distance Education, 34, 302, 10.1080/01587919.2013.835779
Wilde, 2019, The influence of general self-efficacy on the interpretation of vicarious experience information within online learning, International Journal of Educational Technology in Higher Education, 16, 1, 10.1186/s41239-019-0158-x
World Health Organization (2020).(n.d.). Coronavirus. Retrieved April 25,, fromhttps://www.who.int/emergencies/diseases/novel-coronavirus-2019, https://www.who.int/news-room/q-a-detail/q-a-coronaviruses