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Direct linkXin Gong; Weiqi Xu; Ailing Qiao; Zhixia Li – Journal of Computer Assisted Learning, 2025
Background: Robot programming can simultaneously cultivate learners' computational thinking (CT) and spatial thinking (ST). However, there is a noticeable gap in research focusing on the micro-level development patterns of learners' CT and ST and their interconnections. Objectives: This study aims to uncover the intricate development patterns and…
Descriptors: Mental Computation, Thinking Skills, Skill Development, Robotics
Tanya Chichekian; Joel Trudeau; Tawfiq Jawhar; Dylan Corliss – Journal of Computer Assisted Learning, 2024
Background: Despite its obvious relevance to computer science, computational thinking (CT) is transdisciplinary with the potential of impacting one's analytical ability. Although countless efforts have been invested across K-12 education, there is a paucity of research at the postsecondary level about the extent to which CT can contribute to…
Descriptors: College Students, Computation, Thinking Skills, Transfer of Training
Jian-Wen Fang; Jing Chen; Xiao-Ge Guo; Qing-Ke Fu; Gwo-Jen Hwang; Yun-Fang Tu – Education and Information Technologies, 2025
Digital competence is an essential skill for pre-service teachers, and self-regulation is an important factor in this competence. However, lack of emotional support often affects development of students' digital competence. Therefore, an emotional support-embedded robot-based self-regulated learning (ES-RSRL) system was developed. This ES-RSRL…
Descriptors: Robotics, Technology Uses in Education, Independent Study, Electronic Learning
Wawan Kurniawan; Khairul Anwar; Jufrida Jufrida; Kamid Kamid; Cicyn Riantoni – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: This study aims to implement and evaluate a personalized digital learning environment (PDLE) that delivers differentiated instruction for enhancing computational thinking competencies through robotics education. Background: The background emphasizes the growing demand for computational thinking skills in the modern workforce and the…
Descriptors: Individualized Instruction, Electronic Learning, Computation, Thinking Skills
Download full textTaneri, Grace Ufuk – Center for Studies in Higher Education, 2020
We are living in an era of artificial intelligence (AI). There is wide discussion about and experimentation with the impact of AI on education/higher education. In this paper, we give a discussion of how AI is evolving, explore the ways AI is changing education/higher education, give a concise account of the skills universities need to teach their…
Descriptors: Artificial Intelligence, Higher Education, Electronic Learning, Blended Learning
Rainie, Lee; Anderson, Janna – Pew Research Center, 2017
Machines are eating humans' jobs talents. And it is not just about jobs that are repetitive and low skill. Automation, robotics, algorithms and artificial intelligence (AI) in recent times have shown they can do equal or sometimes even better work than humans who are dermatologists, insurance claims adjusters, lawyers, seismic testers in oil…
Descriptors: Futures (of Society), Educational Trends, Trend Analysis, Job Training
McDonald, Christine V. – Science Education International, 2016
Recent global educational initiatives and reforms have focused on increasing the number of students pursuing STEM subjects, and ensuring students are well-prepared, and suitably qualified to engage in STEM careers. This paper examines the contributions of the four disciplines--Science, Technology, Engineering and Mathematics--to the field of STEM…
Descriptors: STEM Education, Student Interests, Teaching Methods, Scientific Literacy
Potkonjak, Veljko; Jovanovic, Kosta; Holland, Owen; Uhomoibhi, James – Multicultural Education & Technology Journal, 2013
Purpose: The purpose of this paper is to present an improved concept of software-based laboratory exercises, namely a Virtual Laboratory for Engineering Sciences (VLES). Design/methodology/approach: The implementation of distance learning and e-learning in engineering sciences (such as Mechanical and Electrical Engineering) is still far behind…
Descriptors: Electronic Learning, Distance Education, Computer Simulation, Skill Development
Belghith, K.; Nkambou, R.; Kabanza, F.; Hartman, L. – IEEE Transactions on Learning Technologies, 2012
Roman Tutor is a tutoring system that uses sophisticated domain knowledge to monitor the progress of students and advise them while they are learning how to operate a space telerobotic system. It is intended to help train operators of the Space Station Remote Manipulator System (SSRMS) including astronauts, operators involved in ground-based…
Descriptors: Foreign Countries, Computer Uses in Education, Instructional Materials, Space Exploration
