This systematic literature review analyzes learning effects and teaching experiences in mathematics digital textbooks, suggesting improvements for design and implementation.
This study conducted a systematic literature review to analyze research trends and implications based on 35 articles (21 domestic and 14 international) on mathematics digital textbooks published in academic journals from 2008 to 2024. The analysis categorized the research into five key themes: design directions, development cases, teaching and learning experiences, teachers' perceptions and demands, and learning effects. Research on design directions discussed feedback for correcting misconceptions, cognitive scaffolding design, and digital textbook design for students with disabilities, but studies on AI-based design were limited. Development case studies explored the use of digital tools like Cabri to develop digital textbooks, confirming their effectiveness in promoting self-directed learning and mathematical exploration. Research on teaching and learning experiences demonstrated that digital textbooks contribute to learner-centered environments, highlighting the importance of automated feedback and the prevention of misconceptions. Studies on teachers' perceptions and demands revealed that utilizing digital textbooks positively influences teachers' perceptions, emphasizing the need for tailored training programs by school level. Research on learning effects addressed cognitive and affective domains as well as factors influencing academic performance, suggesting the necessity of longitudinal studies and diverse instructional models. This study identifies the limitations and directions of existing research and proposes the need for studies on AI-based digital textbook design, long-term analyses of learning effects, and the potential applications of various digital tools.
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Jung et al. (2025) studied this question.
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