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Problems and Perspectives in Management
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Mobile learning for high-school mathematics as a path to better sustainability in a fast-changing society: an exploratory study from Vietnam

Authors: Trinh Thi Phuong Thao; Lai Thai Dao; Hai Trinh Thanh; Trung Tran; Trinh Le; Quan‐Hoang Vuong;

Mobile learning for high-school mathematics as a path to better sustainability in a fast-changing society: an exploratory study from Vietnam

Abstract

The use of mobile learning, or M-learning, has been increasingly appreciated by educators due to its sustainability potential in different facets such as finance (i.e., affordable cost) and flexibility (i.e., time and pace of learning). However, it may not be effective in all situations. This study explored the feasibility of using M-learning for students’ self-study of mathematics in the context of Vietnamese high schools. Using 542 student and 40 teacher responses to two surveys, the study showed that the use of M-learning might not be feasible for students’ self-study of mathematics due to difficulties related to accessing mathematics websites, the quality of mathematics website content, students’ low level of self-learning ability and learning disengagement. This study suggests that the use of M-learning may contribute to the sustainability of education; adopting it should be based on a critical examination of contextual factors, especially students’ self-learning ability and engagement. M-learning can be promising and beneficial to students due to its capability to equip students to prepare for the fast-changing and technological-driven world. Educators have increasingly appreciated the use of M-learning, because it becomes more affordable and flexible. Nonetheless, there is still a question about near-future adoptions of M-learning due to unavailability of and inaccessibility to quality contents from trusted maths websites. The propensity of student engagements in M-learning is also an important issue for future research.

Keywords

FOS: Computer and information sciences, Disengagement theory, Artificial intelligence, HF5001-6182, Sociology and Political Science, Social Sciences, Pace, Context (archaeology), high-school students, Sociology, Psychology, Business, Impact of Social Media on Well-being and Behavior, Geography, Ecology, mathematics, Statistics, sustainability, Social science, FOS: Sociology, FOS: Philosophy, ethics and religion, FOS: Psychology, Educational technology, Sustainability, Archaeology, Physical Sciences, Quality (philosophy), Educational Methods, Medicine, Geodesy, Information Systems, Mobile Learning in Higher Education, Flexibility (engineering), M-learning, Epistemology, Education, Information and Communication Technologies for Development, FOS: Mathematics, Exploratory research, Educational Applications, Biology, SDG4, Mobile Learning, Lifelong Learning, Collaborative Learning, Active learning (machine learning), Computer science, Mathematics education, Philosophy, FOS: Biological sciences, Computer Science, Gerontology, Mathematics

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    10
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Top 10%
gold