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Dylan Davidson; Samantha L. Pugh – New Directions in the Teaching of Natural Sciences, 2025
Generative Artificial Intelligence (GenAI) is an emerging technology that creates relevant text, images and other content from prompts. Large Language models (LLMs) are the most widely used of these GenAI forms. This technology already has applications in business and education. This paper tests GenAI's ability to apply physics to global problems…
Descriptors: Artificial Intelligence, Physics, Problem Solving, World Problems
Jared A. Danielson; Rebecca G. Burzette; Misty R. Bailey; Linda M. Berent; Heather Case; Anita Casey-Reed; John Dascanio; Richard A. Feinberg; Tamara S. Hancock; Claudia A. Kirk – Advances in Health Sciences Education, 2025
Medical sciences education emphasizes basic science learning as a prerequisite to clinical learning. Studies exploring relationships between achievement in the basic sciences and subsequent achievement in the clinical sciences generally suggest a significant positive relationship. Basic science knowledge and clinical experience are theorized to…
Descriptors: Veterinary Medical Education, Knowledge Level, Sciences, Clinical Experience
Rica Mae D. Rio; Judel V. Protacio – Educational Process: International Journal, 2025
Background/purpose. The strategic goal of science, technology, engineering, and mathematics (STEM) literacy is to develop scientifically and technologically equipped global citizens who are innovators and problem-solvers in a rapidly changing world. The study contributes to this goal by drawing pedagogical implications from examining college…
Descriptors: College Students, Thinking Skills, Word Problems (Mathematics), Problem Solving
Sebastian Straub; Isis Tunnigkeit; Julia Eberle; Arlind Avdullahu; Nikol Rummel – International Journal of Computer-Supported Collaborative Learning, 2025
A key challenge in CSCL research is to find ways to support learners in becoming effective collaborators. While the effectiveness of external collaboration scripts is well established, there is a need for research into support that acknowledges learners' autonomy during collaboration. In the present study, we compare an external collaboration…
Descriptors: Cooperative Learning, Interaction, Scripts, Computer Assisted Instruction
Atharva Naik; Jessica Ruhan Yin; Anusha Kamath; Qianou Ma; Sherry Tongshuang Wu; R. Charles Murray; Christopher Bogart; Majd Sakr; Carolyn P. Rose – British Journal of Educational Technology, 2025
The relative effectiveness of reflection either through student generation of contrasting cases or through provided contrasting cases is not well-established for adult learners. This paper presents a classroom study to investigate this comparison in a college level Computer Science (CS) course where groups of students worked collaboratively to…
Descriptors: Cooperative Learning, Reflection, College Students, Computer Science Education
Chih-Yueh Chou; Wei-Han Chen – Educational Technology & Society, 2025
Studies have shown that students have different help-seeking behavior patterns and tendencies and furthermore, that students with certain help-seeking behavior patterns and tendencies may have poor performance (i.e., at-risk students). This study applied an educational data mining approach, including clustering and classification, to analyze…
Descriptors: Student Behavior, Help Seeking, Problem Solving, Information Retrieval
Molly Griston; Bethany R. Wilcox – Physical Review Physics Education Research, 2025
Despite the recognition that reflection is an essential part of problem solving, it is often not emphasized in upper-division physics courses. In this paper, we discuss homework corrections (HWCs) as a pedagogical tool to motivate reflection on homework assignments. We focus on gaining a qualitative understanding of how students may engage with…
Descriptors: Physics, Science Education, Homework, Problem Solving
M. Trigueros; E. Badillo; G. Sánchez-Matamoros; L. A. Hernández-Rebollar – ZDM: Mathematics Education, 2024
This study contributes to Action, Process, Object, Schema (APOS) theory research by showing two approaches used by advanced mathematics students to construct relations between higher-order derivatives to solve complex problems. We show evidence of students' ability to perform Actions on their graphing derivative Schema, that is, of its…
Descriptors: Educational Theories, College Students, College Mathematics, Mathematics Education
Problem-Solving Support and Instructional Sequence: Impact on Cognitive Load and Student Performance
Jamie Costley; Anna Gorbunova; Matthew Courtney; Ouhao Chen; Christopher Lange – European Journal of Psychology of Education, 2024
In terms of instructional sequencing and cognitive load research, it remains unclear what effect different instructional sequences have on cognitive load and how to use problem-solving support within instructional sequences to reduce cognitive load. The current study examines how instructional sequencing and problem-solving support interact with…
Descriptors: Problem Solving, Cognitive Processes, Difficulty Level, Academic Achievement
Kaitlyn Stephens Serbin; Megan Wawro – International Journal of Research in Undergraduate Mathematics Education, 2024
Reasoning with mathematics plays an important role in university students' learning throughout their courses in the scientific disciplines, such as physics. In addition to understanding mathematical concepts and procedures, physics students often must mathematize physical constructs in terms of their associated mathematical structures and…
Descriptors: Mathematical Logic, Logical Thinking, College Students, Quantum Mechanics
Francisco Arredondo; Belen Garcia; Ruben Lijo – IEEE Transactions on Education, 2025
Contributions: This article presents the results from a teaching innovation project based on the creation of educational videos by students and their assessment through blind peer review in the context of an electric circuit course. This article also analyses the activity's impact on learning outcomes by comparing the results of participating…
Descriptors: Video Technology, Electronic Equipment, Peer Evaluation, Program Effectiveness
Mussa Saidi Abubakari; Gamal Abdul Nasir Zakaria; Juraidah Musa – Discover Education, 2025
In the contemporary world of digitalisation, comprehensive digital competence (DC) is and should be an integral part of students' repertoire to guarantee not only academic but also professional success. However, the level and requirements for DC may vary within specific educational contexts, especially in culturally oriented institutions. This…
Descriptors: College Students, Digital Literacy, Student Evaluation, Foreign Countries
Muhammad Syahrul Kahar; Irmawati; Muhammad Fathurrahman; Suparman Suparman; Wanida Simpol; Muhammad Ali – Educational Process: International Journal, 2025
Background/purpose: The application of learning models is expected to significantly promote the enhancement of students' problem-solving abilities through the development of interactive learning models. This study aims to (1) determine whether the Development of the Component Display Theory (CDT) Model is categorized as valid, practical, and…
Descriptors: Problem Solving, Skill Development, Models, Validity
Lee Yen Chaw; Chun Meng Tang – European Journal of Education, 2024
The increased use of digital technology in higher education requires university students to be digitally proficient. The main objective of this study is to examine the extent to which university students' proficiency in various digital competences could be helpful towards their learning performance. This study adopted DigComp 2.2 to design a data…
Descriptors: Technological Literacy, College Students, Performance, Cooperation
Jinju Lee; Jongchan Park; Dongsik Kim – Instructional Science: An International Journal of the Learning Sciences, 2024
This study investigates when and how awareness of knowledge gaps (AKG) manifests by observing the problem-solving phase of the educational approach known as problem-solving followed by instruction (PS-I). By comprehensively exploring cognitive and metacognitive process of learners during this phase and categorizing students' judgements of…
Descriptors: Knowledge Level, Problem Solving, Metacognition, Cognitive Ability

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