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Preet Chandan Kaur; Leena Ragha – Education and Information Technologies, 2025
Video summarization is a method of deducing the content of video content for generating a summary in video format. The generated summary should have the significant segments of raw video. Recently, the content of video has been rapidly increasing, thus automatic video summarization is beneficial for individuals who want to keep time and learn more…
Descriptors: Semantics, Video Technology, Audio Equipment, Linguistic Input
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
Kagan, David; Ayars, Eric; Brookes, David – Physics Teacher, 2019
We would like to share a problem with you that has some subtle features. We will examine how we believe students may approach this problem -- students that we shall characterize as "marginal," "good," and "exceptional" for convenience of discussion. We will see that one can use the incorrect response of the good…
Descriptors: Problems, Responses, Student Reaction, Accuracy
Osama Taani; Suzan Alabidi – International Journal of Mathematical Education in Science and Technology, 2025
This study investigates the utilisation and perceptions of artificial intelligence (AI) applications among mathematics and science teachers in enhancing students' learning experience in mathematics classrooms. One prominent AI application this research seeks to explore, given its recent rise in popularity and usage, is ChatGPT. The study aims to…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Benefits, Mathematics Education
Shana Cerny; Kelly Bass; Carrie Sanderson – Journal on Excellence in College Teaching, 2025
Preparing mandatory reporters--those responsible for identifying and reporting abuse and neglect--requires innovative approaches. One effective method is the continuous case study. This article discusses the creation and implementation of culturally relevant continuous case studies within a multidisciplinary child and adult advocacy certificate…
Descriptors: Cultural Relevance, Case Studies, Child Abuse, Child Neglect
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
Khanal, Shristi Shakya; Prasad, P.W.C.; Alsadoon, Abeer; Maag, Angelika – Education and Information Technologies, 2020
The constantly growing offering of online learning materials to students is making it more difficult to locate specific information from data pools. Personalization systems attempt to reduce this complexity through adaptive e-learning and recommendation systems. The latter are, generally, based on machine learning techniques and algorithms and…
Descriptors: Electronic Learning, Barriers, Online Courses, Accuracy
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
Towler, Alice; Keshwa, Michelle; Ton, Bianca; Kemp, Richard I.; White, David – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Identifying unfamiliar faces is surprisingly error-prone, even for experienced professionals who perform this task regularly. Previous attempts to train this ability have been largely unsuccessful, leading many to conclude that face identity processing is hard-wired and not amenable to further perceptual learning. Here, we take a novel expert…
Descriptors: Human Body, Identification, Accuracy, Cognitive Processes
Morsy, Sara; Karypis, George – Journal of Educational Data Mining, 2019
In order to help undergraduate students towards successfully completing their degrees, developing tools that can assist students during the course selection process is a significant task in the education domain. The optimal set of courses for each student should include courses that help him/her graduate in a timely fashion and for which he/she is…
Descriptors: Undergraduate Students, Grade Point Average, Course Selection (Students), Prediction
Prihar, Ethan; Heffernan, Neil – International Educational Data Mining Society, 2021
Similar content has tremendous utility in classroom and online learning environments. For example, similar content can be used to combat cheating, track students' learning over time, and model students' latent knowledge. These different use cases for similar content all rely on different notions of similarity, which make it difficult to determine…
Descriptors: Computer Software, Middle School Teachers, Mathematics Teachers, College Students
Lawrence Angrave; Jiaxi Li; Ninghan Zhong – Grantee Submission, 2022
To efficiently create books and other instructional content from videos and further improve accessibility of our course content we needed to solve the scene detection (SD) problem for engineering educational content. We present the pedagogical applications of extracting video images for the purposes of digital book generation and other shareable…
Descriptors: Instructional Materials, Material Development, Video Technology, Course Content

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