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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
Pan, Ai-Jou; Chou, Pao-Nan; Lai, Chin-Feng – IEEE Transactions on Education, 2023
Contribution: This study systematically developed an educational learning framework titled "Real-world problem-posing strategy with engineering problem-solving" to facilitate engineering college students' learning. This study evaluated the effect of the developed learning framework on engineering college students' engineering…
Descriptors: Engineering Education, Problem Solving, College Students, Learning Motivation
Undergraduate Engineering Students' Subjective Task Value Beliefs for Modeling Problems in Chemistry
Crippen, Kent J.; Imperial, Lorelie; Bolch, Charlotte A.; Payne, Corey A. – International Journal of Science and Mathematics Education, 2023
Use of modeling as a learning strategy in introductory science courses could serve to support the persistence of all students, including those who identify with a traditionally underrepresented ethnic minority (URM). If students find inherent value in working on modeling-type problems then this authentic practice would aid in transforming personal…
Descriptors: Undergraduate Students, Engineering Education, Learning Strategies, Learning Motivation
Orakci, Senol – Psychology in the Schools, 2023
This study investigates the structural relationship among academic motivation, academic self-efficacy (ASE), problem solving skills (PSS), creative thinking skills (CRTS), and critical thinking skills (CTS). Structural Equation Model was utilized to compute the relationships between these variables. The sample of the study was comprised of 575…
Descriptors: Preservice Teachers, Foreign Countries, Learning Motivation, Academic Achievement
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
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
Kabilan, Muhammad Kamarul; Annamalai, Nagaletchimee; Chuah, Kee-Man – Education and Information Technologies, 2023
Literature emphasizes that gamification significantly enhances students' engagement in learning and their motivation level. Studies have also examined the benefits of gamification in learning across different levels of education. However, the focus on academics' pedagogical understanding, knowledge, and skills and how they utilize these in…
Descriptors: Technology Uses in Education, Technology Integration, Gamification, College Faculty
Yang, Qi-Fan; Lian, Li-Wen; Zhao, Jia-Hua – International Journal of Educational Technology in Higher Education, 2023
According to previous studies, traditional laboratory safety courses are delivered in a classroom setting where the instructor teaches and the students listen and read the course materials passively. The course content is also uninspiring and dull. Additionally, the teaching period is spread out, which adds to the instructor's workload. As a…
Descriptors: Undergraduate Students, Gamification, Artificial Intelligence, Robotics
Anila Das – ProQuest LLC, 2023
This research study examined the implementation of an extended reality (XR) lab on a community college campus to facilitate student and faculty access to immersive learning resources. The study, conducted during one skills day, involved 46 students and was designed to understand if integrating immersive VR into emergency medical technician (EMT)…
Descriptors: Educational Innovation, Community Colleges, Community College Students, Computer Simulation
Altakhyneh, Bahjat H.; Abumusa, Mofeed – International Journal of Technology in Education, 2020
The study aimed at investigating the attitudes of university students towards science, technology, engineering, mathematics (STEM) approach. The participants of the study consist of (60) students who were studying in bachelor and master degree, they trained in the center of training at the university, the participants acquiring the skills of STEM…
Descriptors: College Students, Student Attitudes, Learning Strategies, Cooperative Learning
Nguyen, Ha; Gijlers, Hannie; Pisoni, Galena – Higher Education, Skills and Work-based Learning, 2023
Purpose: The purpose of the study is to determine how students perceive groupwork and identify patterns of less successful groups in online challenge-based learning. Design/methodology/approach: This study involved 29 university students working in nine teams in an online challenge-based course. The authors applied Volet's (2001) Student Appraisal…
Descriptors: Student Attitudes, Electronic Learning, Problem Based Learning, Online Courses
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
Almulla, Mohammed Abdullatif – Cogent Education, 2023
This study looks at whether creativity and critical thinking help students solve problems and improve their grades by mediating the link between 21st century skills (learning motivation, cooperativity, and interaction with peers, engagement with peers, and a smart classroom environment). The mediating relationship between creativity and critical…
Descriptors: Constructivism (Learning), Critical Thinking, Creativity, Problem Solving