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Kelsey S. Bitting; Jessica A. Merricks – Environmental Education Research, 2025
Undergraduates often express that they feel powerless to help solve important challenges such as climate change and environmental degradation, consistent with the broader phenomena of ecoparalysis. Viewed through value-expectancy frameworks for motivation, value for an outcome and self-efficacy to achieve it lead to goals, which motivate…
Descriptors: Undergraduate Students, Environmental Education, Problem Solving, Climate
Athitaya Nitchot; Lester Gilbert – Education and Information Technologies, 2025
Learning programming is a complex process that requires understanding abstract concepts and solving problems efficiently. To support and motivate students, educators can use technology-enhanced learning (TEL) in the form of visual tools for knowledge mapping. Mytelemap, a prototype tool, uses TEL to organize and visualize information, enhancing…
Descriptors: Learning Motivation, Concept Mapping, Programming, Computer Science Education
Jyun-Chen Chen; Chia-Yu Liu – Journal of Computer Assisted Learning, 2025
Background: Based on the embodied cognition perspective, interdisciplinary hands-on learning combines several disciplines, such as science, technology, engineering and mathematics (STEM), to improve students' capacity to solve real-world problems. Despite the popularity of interdisciplinary hands-on learning, particularly the six-phase 6E model,…
Descriptors: Interdisciplinary Approach, Experiential Learning, STEM Education, Problem Solving
Chih-Hung Wu; Ting-Sheng Weng; Chih-Hsing Liu – Educational Technology & Society, 2025
With the growing attention directed towards ChatGPT and its applications in education, this study explored its impact on various variables pertaining to student learning. Specifically, an integrated theoretical framework was used to investigate the factors that influence student problem-solving and critical thinking abilities when using ChatGPT…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Learning Motivation
Jian-Hong Ye; Mengmeng Zhang; Weiguaju Nong; Li Wang; Xiantong Yang – Education and Information Technologies, 2025
ChatGPT, as an example of generative artificial intelligence, possesses high-level conversational and problem-solving capabilities supported by powerful computational models and big data. However, the powerful performance of ChatGPT might enhance learner dependency. Although it has not yet been confirmed, many teachers and scholars are also…
Descriptors: Artificial Intelligence, College Students, Problem Solving, Student Attitudes
Yi Xue – Education and Information Technologies, 2025
The widespread diffusion of portable tablets and 5G technology heralded a new era of mobile-assisted language learning. Educators and practitioners have shown keen interest in introducing spherical video virtual reality to facilitate pedagogical practices. Although a substantial number of empirical studies have been carried out to observe the…
Descriptors: Computer Simulation, Video Technology, Technological Advancement, Technology Uses in Education
Xiaoli Huang; Wei Xu; Ruijia Liu – International Journal of Distance Education Technologies, 2025
This article presents a meta-analysis of the existing literature using Stata 18.0, focusing on the effects of ITSs on learning attitudes, knowledge acquisition, learner motivation, performance, problem-solving skills, test scores, and educational outcomes across different countries and educational levels (k = 30, g = 0.86). The findings suggest…
Descriptors: Intelligent Tutoring Systems, Outcomes of Education, Learning Motivation, Student Attitudes
Hamidah; Zaenuri; Isnarto; Arief Agoestanto – Journal of Education and Learning (EduLearn), 2025
This study's purpose was to analyse the relationship between geometric thinking skills with self-regulated learning and with students' basic geometry skills. Furthermore, analyze student errors in solving geometry problems based on their self-regulated learning to determine the optimal geometry learning environment for geometry thinking skills.…
Descriptors: Geometry, Learning Strategies, Preservice Teachers, Teacher Education Programs
Xuanyan Zhong; Zehui Zhan – Interactive Technology and Smart Education, 2025
Purpose: The purpose of this study is to develop an intelligent tutoring system (ITS) for programming learning based on information tutoring feedback (ITF) to provide real-time guidance and feedback to self-directed learners during programming problem-solving and to improve learners' computational thinking. Design/methodology/approach: By…
Descriptors: Intelligent Tutoring Systems, Computer Science Education, Programming, Independent Study
Ching-Yi Chang; Intan Setiani; Jie Chi Yang – Journal of Educational Computing Research, 2025
Traditional teaching methods often limit interactive learning, negatively impacting students' motivation and learning achievement. Moreover, fostering collaborative awareness and problem-solving skills is crucial for developing the core competencies of future nursing professionals. To address these challenges, this study proposed an escape…
Descriptors: Educational Games, Puzzles, Computer Assisted Instruction, Electronic Learning
Nihal Eres; Tugba Ecevit – Journal of Inquiry Based Activities, 2025
This study aimed to design, implement, and evaluate the feasibility of an activity titled "Space Adventure for Little Explorers", integrating the engineering and entrepreneurship design model within the STEM education framework into preschool education. The activity was structured in four stages: (1) Discovery with the Family, (2)…
Descriptors: Engineering Education, Entrepreneurship, Preschool Education, Learning Activities
Christopher Dignam; Candace M. Smith; Amy L. Kelly – Journal of Education in Science, Environment and Health, 2025
The evolution of artificial intelligence (AI) and robotics in education has transitioned from automation toward emotionally responsive learning systems through artificial emotional intelligence (AEI). While AI-driven robotics has enhanced instructional automation, AEI introduces an affective dimension by recognizing and responding to human…
Descriptors: Robotics, Artificial Intelligence, Teaching Methods, Computer Software
Troy Meston; Julie Ballangarry; Harry Van Issum; Helen Klieve; Courtney Smith; Tasha Riley – Pedagogy, Culture and Society, 2025
This paper details the 'Deadly Gaming' pilot (DG). DG centred research has been designed to exploit the protective value of Indigenous culture, to nurture translational literacies (e.g., cultural capital, academic confidence, teamwork, problem solving, critical thinking, and 21st century skills) necessary for academic success in an urban…
Descriptors: Indigenous Knowledge, Indigenous Populations, Culturally Relevant Education, Cultural Capital