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Chenyue Wang; Chang Lu; Fu Chen; Xueliang Liu; Qin Zhao; Shuai Wang – Education and Information Technologies, 2024
Computational thinking (CT) competency is essential for K-12 students in the digital societies. Understanding the relationship between students' CT and relevant factors contributes to implementing and improving CT education. Most previous studies investigated the effect of demographic or attitudinal factors on CT performance; whereas few research…
Descriptors: Self Efficacy, Thinking Skills, Problem Solving, Computation
Fajar Arianto; Muhammad Hanif – Journal of Pedagogical Research, 2024
The use of metacognitive and self-regulated strategies is a potential predictor of problem-solving skills and self-efficacy. However, this potential needs to be seen at the level of knowledge and experience of various attributes and forms of activity. This research aims to see the interaction effect of using metacognitive and self-regulated…
Descriptors: Metacognition, Elementary School Students, Predictor Variables, Self Efficacy
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
Kelly M. McGinn; Julie L. Booth; Alexandra Huyghe; Laura K. Young; M. Suzanne Donovan – Journal of Experimental Education, 2025
Prior short-term studies have shown the effectiveness of worked examples and self-explanation prompts in improving elementary students' mathematics knowledge. However, year-long classroom-based interventions have been tested only with older students. The purpose of the current study was to explore the effectiveness of a year-long classroom…
Descriptors: Grade 5, Mathematics Instruction, Intervention, Elementary School Students
Tomohiro Nagashima; Stephanie Tseng; Elizabeth Ling; Anna N. Bartel; Nicholas A. Vest; Elena M. Silla; Martha W. Alibali; Vincent Aleven – Grantee Submission, 2022
Learners' choices as to whether and how to use visual representations during learning are an important yet understudied aspect of self-regulated learning. To gain insight, we developed a "choice-based" intelligent tutor in which students can choose whether and when to use diagrams to aid their problem solving in algebra. In an…
Descriptors: Middle School Students, Visual Aids, Intelligent Tutoring Systems, Independent Study
Jeffrey Kramer Bye; Jenny Yun-Chen Chan; Avery H. Closser; Ji-Eun Lee; Stacy T. Shaw; Erin R. Ottmar – Journal of Numerical Cognition, 2024
Students often perform arithmetic using rigid problem-solving strategies that involve left-to-right-calculations. However, as students progress from arithmetic to algebra, entrenchment in rigid problem-solving strategies can negatively impact performance as students experience varied problem representations that sometimes conflict with the order…
Descriptors: Middle School Students, Middle School Mathematics, Arithmetic, Mathematics Skills
Kiliçoglu, Gökçe; Yildirim, Damla – International Journal of Education and Literacy Studies, 2023
This study aims to determine the relationship between middle school students' innovative thinking tendencies and entrepreneurial skills and to identify the variables that predict entrepreneurial skill. To this end, the study used the correlational survey method. The study group consists of 274 5th-, 6th-, and 7th-graders studying in 3 middle…
Descriptors: Foreign Countries, Middle School Students, Innovation, Cognitive Processes
Güler, Gökhan; Bedel, Ahmet – International Journal of Psychology and Educational Studies, 2022
Purpose: The purpose of this study is to examine the relationships between middle school students' school burnout, problem-solving skills, peer relationships, and perceived school experiences and to determine the predictive power of perceived school experiences, problem-solving skills, and peer relationships on academic burnout. Method: The…
Descriptors: Middle School Students, Burnout, Problem Solving, Peer Relationship
Jenny Yun-Chen Chan; Chloe Byrne; Janette Jerusal; Allison S. Liu; Justin Roberts; Erin Ottmar – Grantee Submission, 2023
Prior research has shown that game-based learning tools, such as DragonBox 12+, support algebraic understanding and that students' in-game progress positively predicts their later performance. Using data from 253 seventh-graders (12-13 years old) who played DragonBox as a part of technology intervention, we examined (a) the relations between…
Descriptors: Game Based Learning, Educational Games, Problem Solving, Mathematics Achievement
Jenny Yun-Chen Chan; Chloe Byrne; Janette Jerusal; Allison S. Liu; Justin Roberts; Erin Ottmar – British Journal of Educational Technology, 2023
Prior research has shown that game-based learning tools, such as DragonBox 12+, support algebraic understanding and that students' in-game progress positively predicts their later performance. Using data from 253 seventh-graders (12-13 years old) who played DragonBox as a part of technology intervention, we examined (a) the relations between…
Descriptors: Game Based Learning, Educational Games, Problem Solving, Mathematics Achievement
Günes, Ahmet Melih – International Journal of Contemporary Educational Research, 2022
This research aims to determine the relationship between school principals' problem-solving skills, burnout levels and self-efficacy beliefs. A quantitative relational design was used in the study. The sample of the research consists of 224 school principals working in Balikesir. In the research, "Problem-solving Inventory",…
Descriptors: Problem Solving, Burnout, Self Efficacy, Principals
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
Qing Guo; Huan Li; Sha Zhu – Journal of Educational Computing Research, 2024
Previous research has not adequately explored students' behavioral processes when addressing computational thinking (CT) problems of varying difficulty, limiting insights into students' detailed CT development characteristics. This study seeks to fill this gap by employing gamified CT items across multiple difficulty levels to calculate…
Descriptors: Computation, Thinking Skills, Student Behavior, Difficulty Level
Dagmar Strohmeier; Petra Gradinger – European Journal of Developmental Psychology, 2024
Taking a socio-ecological theoretical perspective, the present study (1) examined the concurrent and longitudinal associations between offline, cyber, and ethnic victimization, and (2) investigated whether the same or different intra- and interpersonal variables are longitudinal risk or protective factors. A three-wave longitudinal study including…
Descriptors: Bullying, Racism, Computer Mediated Communication, Adolescents
Kelly Boden; Eric Kuo; Timothy J. Nokes-Malach; Tanner Wallace; Muhsin Menekse – Journal of Educational Research, 2023
Self-efficacy and achievement goals represent two extensively researched motivational factors in education and have been related to numerous academic outcomes. However, little is known about how they relate to different types of problem-solving. Furthermore, while prior work has found these motivational factors are related, less work has examined…
Descriptors: Self Efficacy, Predictor Variables, Academic Achievement, Goal Orientation