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YuChun Chen; Lorraine A. Jacques – Journal of Teaching in Physical Education, 2025
Purpose: This study examined how physical education majors used computational thinking (CT) skills in a movement concept course. Method: Twenty-two physical education majors were tasked to create two gymnastics routines (i.e., algorithm design), analyze their routines (i.e., decomposition and abstraction), create and follow a personalized fitness…
Descriptors: Majors (Students), Computation, Thinking Skills, Athletics
Pei, Bo; Xing, Wanli; Zhu, Gaoxia; Antonyan, Kristine; Xie, Charles – Education and Information Technologies, 2023
Infrared (IR) technologies have been universally acknowledged as a valuable pedagogical tool for exploring novel and abstract scientific subjects in science education. This study explores the roles of IR images played in middle school students' Evidence-based Reasoning (EBR) process in support of the understanding of the heat radiation process.…
Descriptors: Technology Integration, Spectroscopy, Science Education, Science Instruction
Ilbilge Dökme; Zümrüt Sengüler Hancioglu – Education and Information Technologies, 2025
The electricity-related topics in the secondary school science curriculum are near-universal standards across countries. We prepared a three-stage robotic STEM program incorporating coding, robotic integrated science (in the topic of electricity), STEM engineering processes, and their educational structures. We investigated the impact of the…
Descriptors: Robotics, Technology Uses in Education, Secondary School Students, Student Interests
Emit Snake-Beings; Andrew Gibbons; Ricardo Sosa – Teaching and Learning Research Initiative, 2024
This study explores learner engagement with Advanced Computational Thinking (ACT) in the New Zealand digital curriculum. "Advanced" in ACT refers to an expansive, transdisciplinary, and future-looking understanding of computational thinking (CT). ACT promotes CT beyond narrow modes of problem-solving (abstraction, algorithmic thinking,…
Descriptors: Computation, Thinking Skills, Shared Resources and Services, Learner Engagement
Parhizkar, Amirmohammad; Tejeddin, Golnaz; Khatibi, Toktam – Education and Information Technologies, 2023
Increasing productivity in educational systems is of great importance. Researchers are keen to predict the academic performance of students; this is done to enhance the overall productivity of educational system by effectively identifying students whose performance is below average. This universal concern has been combined with data science…
Descriptors: Algorithms, Grade Point Average, Interdisciplinary Approach, Prediction
Amjad Almusaed; Asaad Almssad; Ammar K. Albaaj – International Society for Technology, Education, and Science, 2024
The impact of artificial intelligence (AI) on education and lifelong learning is a topic of significant importance as AI continues to change numerous sectors. This paper aims to critically examine AI's profound effect in these domains. The present research explores the ethical dilemmas and pedagogical approaches relevant to incorporating…
Descriptors: Ethics, Lifelong Learning, Artificial Intelligence, Computer Software
Peer reviewedWalton, Richard E.; Balestri, Diane – Machine-Mediated Learning, 1987
Examines similarities between composition and programming processes, and reviews two studies that linked instruction in computer programming and freshman composition to help students understand writing as a design discipline. Projects at the University of Montana and Bryn Mawr College which improved students' writing abilities are described. (LRW)
Descriptors: Algorithms, Computer Assisted Instruction, Creative Activities, Freshman Composition
PDF pending restorationFleener, M. Jayne; And Others – 1993
Higher order cognitive development and success in the study of high school mathematics and science require an understanding of rational number concepts and facility with proportional reasoning and computation. Proportional reasoning is an essential schema for developing formal operational thought. This study involving 16 ninth-grade students was…
Descriptors: Abstract Reasoning, Algorithms, Cognitive Development, Formal Operations

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