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Exploring the Viability of Using Eye Tracking to Detect Neurodivergent Learners' Implicit Learning in a Physics Game
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Ibrahim Dahlstrom-Hakki; Elizabeth Rowe; Jodi Asbell-Clarke; Mia Almeda – Computer-Based Learning in Context, 2024
With the prominence of assessments in education, there is an increasing need to create new forms of assessment that more accurately reflect the needs of the entire student population, particularly neurodivergent learners. To address this challenge, this paper explores the potential for using eye tracking data in a game-based learning environment…
Descriptors: College Students, Eye Movements, Physics, Science Instruction
"Ibigkas!": The Iterative Development of a Mobile Collaborative Game for Building Phonemic Awareness and Vocabulary
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Ma. Mercedes T. Rodrigo; Jaclyn Ocumpaugh; Walfrido David Diy; Monica Moreno; Marco De Santos; Nigel Cargo; Jose Lacson; Daniel Santos; Danna Aduna; Jose Isidro Beraquit; Rex Bringula; Marie Rianne M. Caparros; Anne Tan Choi; Steve Ladan; Jaclyn Lim; Dominique Marie Antoinette Manahan; Jhoanna Michelle G. Paterno; Kristine Saturinas; Emily Tabanao; Christine Tablatin; Jo Torres; Kaska Porayska-Pomsta; Ibukun Olatunji; Rose Luckin – Computer-Based Learning in Context, 2019
Filipino learners' lack of English language proficiency is a major barrier to higher education opportunities and participation in high-value industries. Computer-based learning systems have the potential to increase educational quality, equity, and efficacy in the Global South. However, a key challenge is to design systems that are developmentally…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Computer Games