This work is licensed under the Creative Commons Attribution 4.0 International License.
Jesson, Rebecca, McNaughton, Stuart, Rosedale, & Naomi, et al. (2018). A mixed-methods study to identify effective practices in the teaching of writing in a digital learning environment in low income schools. Computers & education.Search in Google Scholar
Joo-Nagata, J., Martinez Abad, F., García-Bermejo Giner, José, & García-Pe?alvo, Francisco J. (2017). Augmented reality and pedestrian navigation through its implementation in m-learning and e-learning: evaluation of an educational program in chile. Computers & Education, 111(AUG.), 1-17.Search in Google Scholar
Tarus, J. K., Niu, Z., & Kalui, D. (2017). A hybrid recommender system for e-learning based on context awareness and sequential pattern mining. Soft Computing.Search in Google Scholar
Lau, Kwok, Hung, Tri, Lam, & Kam, et al. (2018). The role of textbook learning resources in e-learning: a taxonomic study. Computers & Education.Search in Google Scholar
Luo, L., Cheng, X., Wang, S., Zhang, J., Zhu, W., & Yang, J., et al. (2017). Blended learning with moodle in medical statistics: an assessment of knowledge, attitudes and practices relating to e-learning. Bmc Medical Education, 17(1), 170.Search in Google Scholar
Tojo, T., Ono, O., Noh, N. B., & Yusof, R. (2018). Interactive tutor robot for collaborative e-learning system. Electrical Engineering in Japan, 203(3), 22-29.Search in Google Scholar
Falusi, O. O., Weisz, J., Clarence, I., Lichtenstein, C., Coddington, D., & Avent, G., et al. (2022). Leveraging e-learning and community assets to “teach” residents to address child poverty. Academic pediatrics.Search in Google Scholar
Lee, S. (2020). Development of web-based e-learning educational contents for organ donation and transplantation toward medical students and medical personnel. Transplantation, 104.Search in Google Scholar
Johnson, S., Bamber, D., Bountziouka, V., Clayton, S., Cragg, L., & Gilmore, C., et al. (2019). Improving developmental and educational support for children born preterm: evaluation of an e-learning resource for education professionals. BMJ Open, 9(6).Search in Google Scholar
Hortsch, M., & Rodenbarger, L. (2019). When students choose e-learning resources—the importance of ease and convenience. The FASEB Journal, 33.Search in Google Scholar
Larkin, E., O’Connor, K., & Mcnally, P. (2019). P250 improving e-learning environments for tomorrow’s paediatricians. Archives of Disease in Childhood, 104(Suppl 3), A257-.Search in Google Scholar
Luo, N., Zhang, M., & Qi, D. (2017). Effects of different interactions on students’ sense of community in e-learning environment. Computers & Education, 115(dec.), 153-160.Search in Google Scholar
Chang, C. T., Hajiyev, J., & Su, C. R. (2017). Examining the students’ behavioral intention to use e-learning in azerbaijan? the general extended technology acceptance model for e-learning approach. Computers & Education, 111(AUG.), 128-143.Search in Google Scholar
Klasnja-Milicevic, Aleksandra, Vesin, Boban, Ivanovic, & Mirjana. (2018). Social tagging strategy for enhancing e-learning experience. Computers & Education.Search in Google Scholar
Birjali, Marouane, Beni-Hssane, Abderrahim, Erritali, & Mohammed. (2018). A novel adaptive e-learning model based on big data by using competence-based knowledge and social learner activities. Applied Soft Computing.Search in Google Scholar
Cookson, Richard, Ali, Shehzad, Tsuchiya, & Aki, et al. (2018). E-learning and health inequality aversion: a questionnaire experiment. Health Economics.Search in Google Scholar
Sayaf, A. M., Alamri, M. M., Alqahtani, M. A., & Al-Rahmi, W. M. (2021). Information and communications technology used in higher education: an empirical study on digital learning as sustainability. Sustainability, 13.Search in Google Scholar
Sharma, KshitijMangaroska, Katerinavan Berkel, NielsGiannakos, MichailKostakos, Vassilis. (2021). Information flow and cognition affect each other: evidence from digital learning. International journal of human-computer studies, 146(1).Search in Google Scholar
Seibert, J., Schmoll, I., Kay, C. W. M., & Huwer, J. (2020). Promoting education for sustainable development with an interactive digital learning companion students use to perform collaborative phosphorus recovery experiments and reporting. Journal of Chemical Education, 97(11).Search in Google Scholar
Gu, P., & Guo, J. (2017). Digital case-based learning system in school. PLoS ONE, 12(11), e0187641.Search in Google Scholar
De Meo, P., Messina, F., Rosaci, D., & Sarné, Giuseppe M.L. (2017). Combining trust and skills evaluation to form e-learning classes in online social networks. Information Sciences, 405, 107-122.Search in Google Scholar
Manohar, P., & Maxwell, N. (2021). Social policy practice preferences by social work students: implications for macro practice education. The British Journal of Social Work(8), 8.Search in Google Scholar
Filmer, D., Rogers, H., Angrist, N., & Sabarwal, S. (2020). Learning-adjusted years of schooling (lays): defining a new macro measure of education. Economics of Education Review, 77.Search in Google Scholar
Acquah, E. O., & Katz, H. T. (2020). Digital game-based l2 learning outcomes for primary through high-school students: a systematic literature review. Computers & education, 143(Jan.), 103667.1-103667.19.Search in Google Scholar
Perini, S., Margoudi, M., Oliveira, M. F., & Taisch, M. (2017). Increasing middle school students’ awareness and interest in manufacturing through digital game‐based learning (dgbl). Computer Applications in Engineering Education, 25(5), 1-15.Search in Google Scholar
Suciu, I., Ndiaye, A., Cédric Baudrit, Fernandez, C., & Kansou, K. (2021). A digital learning tool based on models and simulators for food engineering (mestral). Journal of Food Engineering, 293, 110375.Search in Google Scholar