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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
Rebecca Sorsen – ProQuest LLC, 2024
In the first part, we investigate Birman, Ko, and Lee's left canonical form of a braid and give a new diagrammatic approach. We use the left canonical form to characterize almost strongly quasipositive braids. In the second part, we investigate students' confidence in mathematics and problem solving skills. Every math instructor has heard students…
Descriptors: Mathematics Instruction, Problem Solving, Teaching Methods, Self Efficacy
Maciej Rys – Innovations in Education and Teaching International, 2024
Hackathon has been growing and taking various industries by storm thanks to its flexibility and ability to fit into them. It has been proven successful and helpful in solving different IT and non-IT challenges. They also serve as an intriguing educational and networking tool, encouraging people to pursue innovative studies and activities. However,…
Descriptors: Educational Innovation, Problem Solving, Attendance, Learning Motivation
Xing, Wanli; Zhu, Gaoxia; Arslan, Okan; Shim, Jaesub; Popov, Vitaliy – Journal of Computing in Higher Education, 2023
Engagement is critical in learning, including computer-supported collaborative learning (CSCL). Previous studies have mainly measured engagement using students' self-reports which usually do not capture the learning process or the interactions between group members. Therefore, researchers advocated developing new and innovative engagement…
Descriptors: Learning Analytics, Cooperative Learning, Learner Engagement, Learning Motivation
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
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
Weng, Chunmeng; Chen, Congying; Ai, Xianfeng – International Journal of Technology and Design Education, 2023
This paper illustrates the design-based learning (DBL) approach to promoting the deep learning of students and improving the quality of teaching in engineering design education. We performed three aspects of research with students in a typical educational activity. The first study investigated students' deep learning before and after the DBL…
Descriptors: Learning Processes, Teaching Methods, Educational Quality, Design
Lung-Chun Chang; Hon-Ren Lin; Jian-Wei Lin – Education and Information Technologies, 2024
Many students want to enroll in programming courses but fear the challenges ahead. They aspire to design quality systems or games after acquiring related skills but report concerns that programming logic is too difficult to learn because memorization of the syntax is required. Thus, they experience anxiety, are demotivated to learn, and,…
Descriptors: Learning Motivation, Outcomes of Education, Anxiety, Programming
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
Carolien A. N. Knoop-van Campen; Joep van der Graaf; Anne Horvers; Rianne Kooi; Rick Dijkstra; Inge Molenaar – Journal of Computer Assisted Learning, 2024
Background: Even though monitoring and control enactment are key aspects of self-regulated learning (SRL), Adaptive learning technologies (ALTs) may reduce the need for learners to monitor and control their learning. Personalized dashboards are effective in supporting learners' monitoring and can potentially support control behaviour. Allowing…
Descriptors: Elementary School Students, Grade 5, Educational Technology, Technology Uses in Education
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
González-Cabañes, Eduardo; Garcia, Trinidad; Chase, Catherine; Núñez, Jose Carlos – Campbell Systematic Reviews, 2023
This is the protocol for a Campbell systematic review. The objectives are as follows: The purpose of this review is to synthesize the evidence about the efficacy of problem solving before instruction (PS-I) to promote learning and motivation in students. Specifically, this review is designed to answer the following questions: To what degree does…
Descriptors: Problem Solving, Instruction, Teaching Methods, 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