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Showing 136 to 150 of 174 results Save | Export
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Ampawan Yindeemak; Thada Jantakoon; Rukthin Laoha – Higher Education Studies, 2025
This study aimed to design, develop, and validate the RSiSTEM framework, a robotics-based simulation learning model intended to foster students' problem-solving and systems thinking competencies within STEM education. The research followed a two-phase developmental design. In Phase 1, the framework was constructed through a systematic synthesis of…
Descriptors: Computer Simulation, Robotics, Technology Uses in Education, Problem Solving
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David Kocsis; Morgan Shepherd; Daniel L. Segal – Journal of Information Systems Education, 2025
This paper describes the development of a training module to improve students' individual online behaviors. We developed this module to integrate cyber hygiene concepts into a hands-on learning activity where students develop and secure a mobile web application using the Salesforce Developer tool. This new module aims to prepare the next…
Descriptors: Tutorial Programs, Computer Science Education, Computer Security, Programming
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Jian-hui Wu – Journal of Educational Computing Research, 2025
The objective of this research is to investigate how AI-improved dynamic physical education materials impact middle school education in physical settings. Utilizing a randomized controlled crossover approach, a 16-week study involved 120 students aged 12 to 18 to evaluate the impact of AI-enhanced physical education courses against traditional…
Descriptors: Artificial Intelligence, Physical Education, Instructional Materials, Middle School Students
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Saida Ulfa; Ence Surahman; Agus Wedi; Izzul Fatawi; Rex Bringula – Knowledge Management & E-Learning, 2025
Online assessment is one of the important factors in online learning today. An online summary assessment is an example of an open-ended question, offering the advantage of probing students' understanding of the learning materials. However, grading students' summary writings is challenging due to the time-consuming process of evaluating students'…
Descriptors: Knowledge Management, Automation, Documentation, Feedback (Response)
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Dawei Zhang – International Journal of Web-Based Learning and Teaching Technologies, 2025
This article aims to study and implement a deep learning algorithm-based information literacy assistance system for college students to solve the problems of insufficient personalization and untimely feedback in the existing information literacy education methods, so as to improve the information literacy level of college students. This article…
Descriptors: College Students, Artificial Intelligence, Information Literacy, Problem Solving
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David Van Nguyen; Shayan Doroudi; Daniel A. Epstein – Community College Journal of Research and Practice, 2025
Our preliminary experiment examined a potential pain point with ASSIST, California's database of articulation agreements. That pain point is cross-referencing multiple articulation agreements to manually develop an "optimal" academic plan. Optimal is defined as the minimal set of community college courses that satisfy all transfer…
Descriptors: Articulation (Education), Human Factors Engineering, Algorithms, Educational Planning
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Ruth Li – Thresholds in Education, 2025
In this article, I introduce a collaborative annotation activity that supports students in critically examining AI-generated writing in relation to criteria including specificity and complexity. I engage students in collaboratively annotating the AI-generated essays, guiding students to identify instances in which the essays could be more…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Assisted Instruction, Writing Instruction
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Huixiao Le; Yuan Shen; Zijian Li; Mengyu Xia; Luzhen Tang; Xinyu Li; Jiyou Jia; Qiong Wang; Dragan Gaševic; Yizhou Fan – British Journal of Educational Technology, 2025
Understanding learners' preferences in educational settings is crucial for optimizing learning outcomes and experience. As artificial intelligence (AI) becomes increasingly integrated into educational contexts, it is crucial to understand learners' preferences between AI and human tutors to support their learning. While AI demonstrates growing…
Descriptors: Student Attitudes, Preferences, Electronic Learning, Artificial Intelligence
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Christoph G. Salzmann; Sophia M. Vecchi Marsh; Jinjie Li; Luca Slater – Journal of Chemical Education, 2025
Proportional-Integral-Derivative (PID) controllers are essential in ensuring the stability and efficiency of numerous scientific, industrial, and medical processes. However, teaching the principles of PID control can be challenging, especially when the introduction focuses on the underlying mathematical framework. To address this, we developed the…
Descriptors: Science Education, Science Instruction, Teaching Methods, Demonstrations (Educational)
Mohd Ali Samsudin; Hanil Raaj Singh Gill – Sage Research Methods Cases, 2025
This case study examines the changing trends in artificial intelligence (AI) education on YouTube using a blend of social network analysis and quantitative ethnography, explicitly employing the epistemic network analysis method. YouTube's function as a significant informal learning platform provides an opportunity to investigate the distribution…
Descriptors: Educational Trends, Artificial Intelligence, Technology Uses in Education, Video Technology
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Zachary Richards; Angela M. Kelly – Community College Review, 2025
Objective/Research Question: Community college graduation rates are typically quite low, and developmental mathematics enrollment and coursetaking patterns may constrain academic outcomes. To identify ways in which community college graduation rates may be improved, decision trees were utilized to examine the STEM coursetaking patterns of N =…
Descriptors: STEM Education, College Enrollment, Decision Making, Educational Attainment
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Hyun-Bin Hwang – Language Learning, 2025
This study explored the effects of practice schedule on the processing of new second language (L2) vocabulary and resulting knowledge. Participants were 107 low-achieving adolescents attending a vocational high school in Korea. They were randomly assigned to one of three practice groups and completed a L2 English-L1 Korean paired-associates…
Descriptors: Low Achievement, Adolescents, Second Language Learning, Vocabulary Development
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Punya Mishra; Danah Henriksen; Lauren J. Woo; Nicole Oster – TechTrends: Linking Research and Practice to Improve Learning, 2025
The emergence of generative artificial intelligence (GenAI) has reignited long-standing debates about technology's role in education. While GenAI potentially offers personalized learning, adaptive tutoring, and automated support, it also raises concerns about algorithmic bias, de-skilling educators, and diminishing human connection. This…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational History, Influence of Technology
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Jaime Carvalho e Silva – International Journal of Mathematical Education in Science and Technology, 2025
The use of technologies in mathematics education at all levels has been discussed extensively for a number of years. It is one of the few themes that was the object of two ICMI studies, the most recent being published in 2010. Two new approaches, emerging lately in the teaching and learning of Mathematics at all levels, will be discussed:…
Descriptors: Computation, Thinking Skills, Artificial Intelligence, Mathematics Instruction
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Seyma N. Yildirim-Erbasli; Guher Gorgun – Technology, Knowledge and Learning, 2025
Exploring the relationship between student ability and test-taking effort is an important area of study, offering insights into their approach to educational assessments. Previous research shows this relationship, yet there is a scarcity of research comparing the test-taking effort of students. In addition, researchers have frequently employed…
Descriptors: Ability, Test Wiseness, Predictor Variables, Student Reaction
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