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Man Huang – Education and Information Technologies, 2025
As educational technology advances, the role of artificial intelligence (AI) in enhancing language education becomes increasingly prominent. However, there is a scarcity of empirical research assessing how AI integration influences student engagement and contributes to the language learning performance. This mixed-methods study seeks to fill the…
Descriptors: Foreign Countries, Middle School Students, Artificial Intelligence, Learner Engagement
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Ling Zhang; Naiqing Song; Guowei Wu; Jinfa Cai – Educational Studies in Mathematics, 2025
This study concerns the cognitive process of mathematical problem posing, conceptualized in three stages: understanding the task, constructing the problem, and expressing the problem. We used the eye tracker and think-aloud methods to deeply explore students' behavior in these three stages of problem posing, especially focusing on investigating…
Descriptors: Cognitive Processes, Mathematics Skills, Problem Solving, Eye Movements
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Soo-min Lim; Hyunju Chun; Hyonyong Lee; Youngshin Kim – Journal of Baltic Science Education, 2024
An important educational goal is enabling students to learn scientific concepts. The scientific concepts learned in class are developed within students' cognitive structures. Despite the successful application of Semantic Network Analysis (SNA) to study these cognitive structures, there has been limited examination of students' concept networks…
Descriptors: Student Characteristics, Cognitive Processes, Thinking Skills, Student Behavior
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Lin, Xiao-Fan; Wang, Jing; Chen, Yingshan; Zhou, Yue; Luo, Guoyu; Wang, Zhaoyang; Liang, Zhong-Mei; Hu, Xiaoyong; Li, Wenyi – Educational Technology & Society, 2023
Computational thinking (CT) is an imperative competency in the 21st century. Mindtools can assist students in understanding concepts and decomposing tasks during CT development through programming. However, students may encounter challenges in complex CT problem-solving tasks due to being confused when using mindtools without proper guidance.…
Descriptors: Reflection, Academic Achievement, Student Behavior, Computation
Christopher Cleveland; Ethan Scherer – Annenberg Institute for School Reform at Brown University, 2024
Education leaders must identify valid metrics to predict student long-term success. We exploit a unique dataset containing data on cognitive skills, self-regulation, behavior, course performance, and test scores for 8th-grade students. We link these data to data on students' high school outcomes, college enrollment, persistence, and on-time degree…
Descriptors: Surveys, Thinking Skills, Self Management, Student Behavior
Chen Yu Hung – ProQuest LLC, 2024
Students' prosocial behavior is linked to their own and their classmate's engagement in the classroom. This raises the question of through what pathway prosocial behavior is linked to engagement. This study investigates whether early adolescents' peer belonging mediates the relationship between prosocial behavior and classroom engagement. The…
Descriptors: Prosocial Behavior, Peer Relationship, Sense of Community, Learner Engagement
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Feeney, Danielle M.; Morgan, Joseph J.; Rodgers, Wendy J.; Brown, Monica R.; Relles, Stefani R. – Learning Disability Quarterly, 2023
A self-talk monitoring and goal-oriented thinking (STM+GOT) intervention package was used to teach four U.S. middle school students with high-incidence disabilities to develop and track progress toward self-determined behavioral goals. A multiple baseline across participants design was used to determine the effects of STM+GOT on both behavior and…
Descriptors: Middle School Students, Goal Orientation, Inner Speech (Subvocal), Cognitive Processes
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Türker Biber, Belma; Yetkin Özdemir, Iffet Elif; Lesh, Richard – International Journal of Science and Mathematics Education, 2023
In this study, we investigated mathematics teacher's noticing of students' thinking in the context of mathematical modeling activities (MEAs) related to statistics. One middle-school mathematics teacher participated in the study, which adopted a case study design. Data were collected through interviews with the teacher based on video recordings of…
Descriptors: Middle School Teachers, Middle School Students, Mathematics Teachers, Attention
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K. Ann Renninger; Gertraud Benke; Ricardo Böheim; Julien Corven; Maria Consuelo De Dios; Maeve R. Hogan; Moe Htet Kyaw; Ana G. Michels; Marina Nakayama; Pablo E. Torres; Helena Werneck; Feven Yared – Frontline Learning Research, 2025
Collaborative problem solving (CPS) has been shown to both engage and benefit students' learning of mathematics. However, there is evidence that group work is not always easy to facilitate, in part because educators lack details about learners' engagement during group work: the processes of problem solving involved, and how these are engaged. In…
Descriptors: Cooperative Learning, Middle School Students, Problem Solving, Mathematics Education
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Laurent Brun; Pascal Pansu; Benoit Dompnier – Educational Psychology, 2024
Over the past fifty years, extensive research has examined the influence of causal attributions on cognitions, emotions, and behaviours in educational contexts. However, these studies often relied on inferences about dimensional properties of attributions, and not on students' perceptions of them. This study innovates by directly assessing these…
Descriptors: Elementary School Students, Failure, Success, Student Attitudes
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Chieh-Ju Tsao; Chun-Sheng Chang; Chih-Hung Chen – Journal of Educational Computing Research, 2025
Prior research has emphasized that two-tier tests are an effective approach to guiding students through game tasks; furthermore, self-efficacy, which is potentially related to students' surroundings and academic performance, has a positive impact on students' cognitive outcomes in games. This implies the significance of conducting a study to probe…
Descriptors: Game Based Learning, Elementary School Students, Grade 6, Foreign Countries
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Dorothea Glaesser; Christopher Holl; Julia Malinka; Laura McCullagh; Lydia Meissner; Nicole Syringa Harth; Maya Machunsky; Kristin Mitte – Social Psychology of Education: An International Journal, 2024
Disengagement is a concept that captures the gradual behavioral, affective, and cognitive distancing from school, and is thus an early indicator of students being at risk for dropout. Based on a social identity framework, we predicted that higher social identification with the class and a positive classroom climate would be associated with lower…
Descriptors: Learner Engagement, Social Environment, At Risk Students, Educational Environment
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Ching-Huei Chen; Ching-Ling Chang – Education and Information Technologies, 2024
This study aimed to investigate the effectiveness of using AI-assisted game-based learning on science learning outcomes, intrinsic motivation, cognitive load, and learning behavior. A total of 202 seventh graders were recruited and randomly assigned to the following three groups: (1) Game only (N = 70), (2) GameGPT (N = 63), and (3)…
Descriptors: Artificial Intelligence, Game Based Learning, Technology Uses in Education, Science Instruction
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Eshetu Kibret Emiru; Mateb Tafere Gedifew – Cogent Education, 2024
Less engagement in learning among students' becomes an obstacle to their academic journey, which teacher self-efficacy can influence. This study examined the level and linkages between students' engagement and teacher self-efficacy using data from 714 selected secondary school teachers in the Amhara region of Ethiopia. Descriptive and…
Descriptors: Self Efficacy, Learner Engagement, Secondary School Students, Secondary School Teachers
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Scott-Webber, Lennie; Breithecker, Dieter; Sorensen, Dina – Journal of Education and Learning, 2023
A renovation incorporated Innovative Learning Environments' design principles. The exploratory study used a Basic Mixed Method, Convergent Parallel Research Design. Behavioral observations and photographic tracing, two surveys (pre- and post-intervention), interviews, and instrument testing. Overall findings: (a) students and educators are excited…
Descriptors: Grade 9, Classroom Environment, Space Utilization, Human Factors Engineering
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