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Kyosuke Takami; Brendan Flanagan; Yiling Dai; Hiroaki Ogata – International Journal of Distance Education Technologies, 2024
Explainable recommendation, which provides an explanation about why a quiz is recommended, helps to improve transparency, persuasiveness, and trustworthiness. However, little research examined the effectiveness of the explainable recommender, especially on academic performance. To survey its effectiveness, the authors evaluate the math academic…
Descriptors: Bayesian Statistics, Epistemology, Mathematics Achievement, Artificial Intelligence
Minkai Wang; Jingdong Zhu; Gwo-Jen Hwang; Shao-Chen Chang; Qi-Fan Yang; Di Zhang – Journal of Computer Assisted Learning, 2025
Background: STEM education aims to develop innovation and problem-solving skills through interdisciplinary learning, yet struggles to foster student engagement and interdisciplinary thinking. Whilst alternate reality games (ARGs) can boost motivation via game-based problem-solving, integrating large language models (LLMs) remains underexplored.…
Descriptors: Learner Engagement, STEM Education, Natural Language Processing, Artificial Intelligence
Dunhong Yao; Jing Lin – Education and Information Technologies, 2025
Programming education consistently faces challenges in bridging theory with practice and fostering students' cognitive competencies. This 12-year longitudinal study (2011-2023) investigates an innovative competency-based teaching model in university C programming education that integrates six educational theories into a coherent framework with…
Descriptors: Competency Based Education, Computer Science Education, Programming, Longitudinal Studies
Ndudi O. Ezeamuzie; Jessica S. C. Leung; Dennis C. L. Fung; Mercy N. Ezeamuzie – Journal of Computer Assisted Learning, 2024
Background: Computational thinking is derived from arguments that the underlying practices in computer science augment problem-solving. Most studies investigated computational thinking development as a function of learners' factors, instructional strategies and learning environment. However, the influence of the wider community such as educational…
Descriptors: Educational Policy, Predictor Variables, Computation, Thinking Skills
Bayraktar, Esengül; Yalçinkaya, Münevver; Eyitmis, Ahmet Melih – International Online Journal of Education and Teaching, 2021
The aim of this research includes examination of emotional intelligence and problem-solving skills of teachers working in Anatolian High Schools, which are secondary education institutions. Its sample consists of 246 teachers selected by random sampling. The research is a descriptive, quantitative study in the general screening model.…
Descriptors: Emotional Intelligence, Problem Solving, Skill Development, Teacher Competencies
Mohammed Alzaid – ProQuest LLC, 2022
Distributed self-assessments and reflections empower learners to take the lead on their knowledge gaining evaluation. Both provide essential elements for practice and self-regulation in learning settings. Nowadays, many sources for practice opportunities are made available to the learners, especially in the Computer Science (CS) and programming…
Descriptors: Learning Analytics, Self Evaluation (Individuals), Programming, Problem Solving
Danial Hooshyar; Nour El Mawas; Yeongwook Yang – Knowledge Management & E-Learning, 2024
The use of learner modelling approaches is critical for providing adaptive support in educational computer games, with predictive learner modelling being among the key approaches. While adaptive supports have been shown to improve the effectiveness of educational games, improperly customized support can have negative effects on learning outcomes.…
Descriptors: Artificial Intelligence, Course Content, Tests, Scores
Ching, Boby Ho-Hong; Nunes, Terezinha – Journal of Educational Psychology, 2017
This longitudinal study examines the relative importance of counting ability, additive reasoning, and working memory in children's mathematical achievement (calculation and story problem solving). In Hong Kong, 115 Chinese children aged 6 years old participated in 2 waves of assessments (T1 = first grade and T2 = second grade). Multiple regression…
Descriptors: Longitudinal Studies, Mathematics Achievement, Short Term Memory, Intelligence Quotient
Sadipour, Ismail; Ghavam, Soghra Ebrahimi; Farrokhi, Noorali; Assadzadeh, Hassan; Sameti, Nahid – International Journal of Environmental and Science Education, 2017
Improving the academic performance of students is one of the main concerns of authorities in education fields. The science of psychology and education experts has tried to help research and studies, to identify factors affecting the academic performance of students. Previously cognitive abilities as one of the most important determinants of…
Descriptors: Predictor Variables, Emotional Intelligence, Problem Solving, Student Motivation
Partanen, Petri; Jansson, Billy; Sundin, Örjan – Educational Psychology in Practice, 2020
The demands on mathematical problem-solving have increased in almost all school systems internationally and may constitute a barrier for children with special educational needs (SEN). This study explored the role of fluid reasoning (FR), working memory (WM) and complex executive function of planning (EF) in children (N = 62) referred for…
Descriptors: Short Term Memory, Executive Function, Planning, Learning Problems
Veerbeek, Jochanan; Verhaegh, Janneke; Elliott, Julian G.; Resing, Wilma C. M. – Journal of Education and Learning, 2017
This study evaluated a new measure for analyzing the process of children's problem solving in a series completion task. This measure focused on a process that we entitled the "Grouping of Answer Pieces" (GAP) that was employed to provide information on problem representation and restructuring. The task was conducted using an electronic…
Descriptors: Problem Solving, Elementary School Students, Grade 2, Cognitive Processes
Gomez, Mertie M.; Herron, Julie – Journal of the International Association of Special Education, 2021
This archival data study examined the relations between cognitive abilities and math reasoning for Hispanic English learner (EL) students in grades 1 through 5 with an identified learning disability. The 295 student participants were referred for an initial psycho-educational Spanish or English evaluation due to academic concerns by their school…
Descriptors: Cognitive Ability, Mathematics Instruction, Problem Solving, Spanish Speaking
Meléndez, Juan C.; Alfonso-Benlliure, Vicente; Mayordomo, Teresa; Sales, Alicia – Creativity Research Journal, 2016
The purpose of the study was to test a model of causal relationships among cognitive reserve (CR), personality variables such as Neuroticism and Openness to experience, and divergent thinking (DT), independently evaluating performance in different domains (verbal and graphic). It was hypothesized that CR, Openness, and Neuroticism would each…
Descriptors: Creative Thinking, Older Adults, Predictor Variables, Causal Models
Fuchs, Lynn S.; Gilbert, Jennifer K.; Fuchs, Douglas; Seethaler, Pamela M.; N. Martin, BrittanyLee – Scientific Studies of Reading, 2018
This study was designed to deepen insights on whether word-problem (WP) solving is a form of text comprehension (TC) and on the role of language in WPs. A sample of 325 second graders, representing high, average, and low reading and math performance, was assessed on (a) start-of-year TC, WP skill, language, nonlinguistic reasoning, working memory,…
Descriptors: Reading Comprehension, Oral Language, Predictor Variables, Word Problems (Mathematics)
The Complex Route to Success: Complex Problem-Solving Skills in the Prediction of University Success
Stadler, Matthias J.; Becker, Nicolas; Greiff, Samuel; Spinath, Frank M. – Higher Education Research and Development, 2016
Successful completion of a university degree is a complex matter. Based on considerations regarding the demands of acquiring a university degree, the aim of this paper was to investigate the utility of complex problem-solving (CPS) skills in the prediction of objective and subjective university success (SUS). The key finding of this study was that…
Descriptors: Success, Predictive Validity, Predictor Variables, Problem Solving

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