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Ryusei Munemura; Fumiya Okubo; Tsubasa Minematsu; Yuta Taniguchi; Atsushi Shimada – International Association for Development of the Information Society, 2024
Course planning is essential for academic success and the achievement of personal goals. Although universities provide course syllabi and curriculum maps for course planning, integrating and understanding these resources by the learners themselves for effective course planning is time-consuming and difficult. To address this issue, this study…
Descriptors: Curriculum Development, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Gautham Arun; Vivek Perumal; Francis Paul John Bato Urias; Yan En Ler; Bryan Wen Tao Tan; Ranganath Vallabhajosyula; Emmanuel Tan; Olivia Ng; Kian Bee Ng; Sreenivasulu Reddy Mogali – Anatomical Sciences Education, 2024
Large Language Models (LLMs) have the potential to improve education by personalizing learning. However, ChatGPT-generated content has been criticized for sometimes producing false, biased, and/or hallucinatory information. To evaluate AI's ability to return clear and accurate anatomy information, this study generated a custom interactive and…
Descriptors: Artificial Intelligence, Teaching Methods, Computational Linguistics, Anatomy
Ying Wang; Rayne A. Sperling; Jennelle L. Malcos – Metacognition and Learning, 2024
The present study investigated the extent to which monitoring practice and timely monitoring feedback, contextualized in an online undergraduate biology course, improved students' metacognitive monitoring and learning outcomes. The intervention followed a true experimental design and randomly assigned 162 students into three conditions: a control…
Descriptors: Metacognition, Self Efficacy, Learning Strategies, Feedback (Response)
Holly N. Johnson; Ya-yu Lo; Morgan E. Nichols – Educational Research and Development Journal, 2024
Promoting a high level of student engagement has been a goal for many teachers. Opportunities to respond (OTR) offer a low-cost instructional practice that allows teachers to improve student engagement in the classroom. In this study, we explored the potential effects of a data-driven coaching model on one elementary school teacher's…
Descriptors: Data Use, Decision Making, Coaching (Performance), Learner Engagement
How Surgical Residents Learn: Learning Style Preferences and Hybrid Scientific Conference Engagement
Rachel Williams Newman – Online Submission, 2025
Surgical resident learning style preferences in the wake of the rapid, widespread adoption of online learning technology during and following the COVID-19 pandemic is not widely studied. This study investigated learning style preferences of surgical residents in the context of engagement in a hybrid national scientific conference. Thirty-five…
Descriptors: Surgery, Graduate Medical Education, Cognitive Style, Distance Education
Ni Li – International Journal of Web-Based Learning and Teaching Technologies, 2025
In depth exploration of how the pandemic has reshaped the education ecosystem over the past three years, especially in the context of the surge in demand for online education courses and learning platforms, this article focuses on the field of student ideological and political education, and innovatively constructs a moral and political education…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Algorithms