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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
Gülnur Özbek; Miray Dagyar – Asia Pacific Education Review, 2025
The aim of this study is to investigate the production and dissemination of mathematical modeling-based projects by gifted students, intended to solve real-life problems, over the four-year Project Production and Management Program (PPMP). The longitudinal research methodology was utilized to examine the project production process among…
Descriptors: Gifted Education, Problem Solving, Mathematics Education, Mathematical Models
Imogen Casebourne; Shengpeng Shi; Michael Hogan; Wayne Holmes; Tore Hoel; Rupert Wegerif; Li Yuan – International Journal of Artificial Intelligence in Education, 2025
Artificial Intelligence (AI) is increasingly being used in education, but mostly to support individual teaching and learning. However, there are good reasons to think that thinking together and solving problems together, Collective Intelligence (CI), is also a valuable outcome of education. Accordingly, our main research question is: How can AI be…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intelligence, Outcomes of Education
Han-Ling Jiang; Lin-Hua Lu; Tsunwai Wesley Yuen; Yu-Lun Liu; Conrad Coelho – Journal of Marketing Education, 2025
Data-driven marketing analytics courses are integral to modern business management degrees in universities, yet many graduates focus solely on single, separated data analysis techniques during their learning process, hindering effective integration and practical performance. This study proposes that employing the Fishbowl method, which divides…
Descriptors: Marketing, Business Education, Data Analysis, Active Learning
Sarah E. Frampton; Sarah E. Vesely; Ky Jackson – Journal of Applied Behavior Analysis, 2025
Cover, copy, and compare (CCC) is a study strategy in which students cover their notes, attempt to copy them, and then compare for accuracy. We evaluated whether CCC could be used to establish equivalence classes with undergraduate students. A video training package and experimenter feedback were used to teach participants to engage in CCC with…
Descriptors: Undergraduate Students, Teaching Methods, Problem Solving, Learning Strategies
Jillian Dawes; Daniel F. McCleary – Contemporary School Psychology, 2025
An ethical dilemma occurs when a situation may be resolved in various ethical and unethical ways. School psychologists have previously reported experiencing ethical dilemmas in practice, particularly around administrative pressures, unsound educational practices, assessment, and confidentiality. The current study queried school psychologists'…
Descriptors: Cooperative Learning, Problem Solving, Consultation Programs, Consultants
Muammer Maral; Ali Özdemir – British Educational Research Journal, 2025
The aim of this study is to obtain an overview of the literature on multi-criteria decision-making (MCDM) methods in educational research, to map the literature, to identify existing knowledge and application areas, to reveal the methods used and their purposes of use, and to reveal the thematic structure of the field. This study followed a…
Descriptors: Evaluation Criteria, Decision Making, Educational Research, Problem Solving
Luis E. Hernández-Zavala; Claudia Acuña-Soto; Vicente Liern – International Electronic Journal of Mathematics Education, 2025
Students often instrumentally use variables and unknowns without considering the variational thinking behind them. Using parameters to modify the coefficients or unknowns in equations or systems of linear equations (without altering their structure) involves consciously incorporating variational thinking into problem-solving. We will test the…
Descriptors: Equations (Mathematics), Mathematical Applications, Undergraduate Students, Problem Solving
Caitlin Snyder; Clayton Cohn; Joyce Horn Fonteles; Gautam Biswas – Grantee Submission, 2025
Recently, there has been a surge in developing curricula and tools that integrate computing (C) into Science, Technology, Engineering, and Math (STEM) programs. These environments foster authentic problem-solving while facilitating students' concurrent learning of STEM+C content. In our study, we analyzed students' behaviors as they worked in…
Descriptors: Learning Analytics, Problem Solving, STEM Education, Computation
Cheng-Wen He; Logan Fiorella; Paula P. Lemons – Educational Psychology Review, 2025
This study tested competing theories about the effectiveness of different instructional sequences for learners with different levels of prior knowledge. Across two classroom experiments, undergraduates learned about noncovalent interactions in biochemistry by either receiving explicit instruction before problem-solving (I-PS group) or engaging in…
Descriptors: Instructional Effectiveness, Problem Solving, Prior Learning, Learning Processes
Hanxiang Du; Gaoxia Zhu; Wanli Xing; Charles Xie – Journal of Science Education and Technology, 2025
Engineering design that requires mathematical analysis, scientific understanding, and technology is critical for preparing students for solving engineering problems. In simulated design environments, students are expected to learn about science and engineering through their design. However, there is a lack of understanding concerning linking…
Descriptors: Engineering, Design, Scientific Concepts, Problem Solving
Rino Richardo; Siti Irene Astuti Dwiningrum; Rahayu Condro Murti; Ariyadi Wijaya; Robiatul Adawiya; Ivan Luthfi Ihwani; Martalia Ardiyaningrum; Anggi Erna Aryani – Journal of Education and Learning (EduLearn), 2025
The aim of this qualitative research is to describe the thinking process as a profile of students' mathematical computational thinking (CT) skills in terms of CT attitudes. The subjects in this study were 66 junior high school students in grade IX. There were three students taken by purposive sampling based on high, medium, and low CT attitude.…
Descriptors: Computation, Thinking Skills, Junior High School Students, Grade 9
Zhihui Cai; Xin Zhang; Caiyan Liu; Jieni Zhan – Journal of Computer Assisted Learning, 2025
Background: Problem-solving ability is an important skill for students to develop in the 21st century. Many previous studies have focused on the impact of diverse digital educational games on problem-solving ability. However, there is inconsistency in the findings, with some studies reporting positive effects of digital game-based learning (DGBL)…
Descriptors: Game Based Learning, Video Games, Problem Solving, 21st Century Skills
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

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