Modeling Students’ Learning Performance and Their Attitudes to Mobile Learning
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-96296-8_58
Reference13 articles.
1. Klimova, B., Poulova, P.: Mobile learning in higher education. Adv. Sci. Lett. 22(5–6), 1111–1114 (2016). https://doi.org/10.1166/asl.2016.6673
2. Krull, G., Duart, J.: Research trends in mobile learning in education: a systematic review of articles (2011–2015). International Review of Research in Open and Distributed Learning 18(7) (2017). http://openaccess.uoc.edu/webapps/o2/bitstream/10609/93100/1/researchtrends.pdf
3. Costa, C., Cardoso, A.P., Lima, M.P., Ferreira, M., Abrantes, J.L.: Pedagogical interaction and learning performance as determinants of academic achievement. Procedia. Soc. Behav. Sci. 171, 874–881 (2015)
4. AdrianChin, Y.K., JosephNg, P.S., Shibghatullah, A.S., Loh, Y.F.: JomDataMining: learning behavior affecting their academic performance, really?. In: 2019 IEEE 6th International Conference on Engineering Technologies and Applied Sciences (ICETAS), pp. 1–4 (2019). https://doi.org/10.1109/ICETAS48360.2019.9117453
5. Zhiyenbayeva, N., Belyanova, E., Petunina, I., Dmitrichenkova, S., Dolzhich, E.: Personalized computer support of performance rates and education process in high school: case study of engineering students. Int. J. Eng. Pedagogy 11(2), 135–153 (2021)
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