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Computer aided math learning as a tool to assess and increase motivation in learning math by visually impaired students
5 references·1 citing·27 second hop
Computer aided math learning as a tool to assess and increase motivation in learning math by visually impaired students (2020)Computer aided math learning as a tool to…Tutoring math platform accessible for visually impaired people (2017)Tutoring math platform access…Multimedia platform for mathematics’ interactive learning accessible to blind people (2017)Multimedia platform for mathe…The Math and Science Engagement Scales: Scale development, validation, and psychometric properties (2016)The Math and Science Engageme…i-Math: Automatic math reader for Thai blind and visually impaired students (2012)i-Math: Automatic math reader…Reading and writing mathematics: The MAVIS1Project (1999)Reading and writing mathemati…Factors Influencing College Students’ Generative Artificial Intelligence Usage Behavior in Mathematics Learning: A Case from China (2025)Factors Influencing College S…Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)MathPlayer (2005)Problems encountered in technical education of the blind, and related aids: Virtual cubarythms and 3D drawings (2014)A Survey on Mathematical Software Tools for Visually Impaired Persons: A Practical Perspective (2021)CASVI: Computer Algebra System Aimed at Visually Impaired People. Experiments (2021)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance (2002)School Engagement: Potential of the Concept, State of the Evidence (2004)Applying the self-determination theory (SDT) to explain student engagement in online learning during the COVID-19 pandemic (2021)Digital support for student engagement in blended learning based on self-determination theory (2021)Student Engagement: Current State of the Construct, Conceptual Refinement, and Future Research Directions (2021)Latex : A Document Preparation System (1985)Improving the Accessibility of Scientific Documents: Current State, User Needs, and a System Solution to Enhance Scientific PDF Accessibility for Blind and Low Vision Users (2021)SciA11y: Converting Scientific Papers to Accessible HTML (2021)Assistive technology-based solutions in learning mathematics for visually-impaired people: exploring issues, challenges and opportunities (2023)Towards making mathematics a first class citizen in general screen readers (2014)The role of DAISY digital talking books in the education of individuals with blindness: A pilot study (2018)Digital learning in mathematics for students with severe visual impairment: A systematic review (2019)A mobile e-learning application for enhancement of basic mathematical skills in visually impaired children (2023)User Acceptance of Information Technology: Toward A Unified View1 (2003)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)When to use and how to report the results of PLS-SEM (2018)Digital drivers: How the acceptance and use of technology model shapes university students' behavior toward generative AI (2025)Extending the UTAUT Model: The role of cognitive flexibility in AI adoption in higher education (2026)Helping visually impaired students in the study of mathematics (2003)Access to scientific content by visually impaired people (2007)From “Reading” Math to “Doing” Math: A New Direction in Non-visual Math Accessibility (2011)
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References

  • 2016The Math and Science Engagement Scales: Scale development, validation, and psychometric properties590 cited
  • 2012i-Math: Automatic math reader for Thai blind and visually impaired students46 cited
  • 2017Multimedia platform for mathematics’ interactive learning accessible to blind people38 cited
  • 2017Tutoring math platform accessible for visually impaired people35 cited
  • 1999Reading and writing mathematics: The MAVIS1Project25 cited

Cited by

  • 2025Factors Influencing College Students’ Generative Artificial Intelligence Usage Behavior in Mathematics Learning: A Case from China18 cited

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