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Cecilie Carlsen Bach; Ewa Bergqvist; Uffe Thomas Jankvist – ZDM: Mathematics Education, 2024
In mathematics, students' abilities to make transformations between mathematical representations are fundamental. The recent implementation of digital technologies, such as Dynamic Geometry Environments (DGEs), have changed students' access to mathematical representations by providing a variety of different representations, available just by…
Descriptors: Geometry, Mathematics Instruction, Computer Assisted Instruction, Secondary School Students
Marioara Pascu – Cogent Education, 2024
This study explored the relationship between students' learning styles and their learning process through Kahoot in developing competencies within a target group of 89 high school students from Technical College "Dimitrie Ghika", Romania. Initially, the students' learning styles were identified using Reid's VAK model. As a second step,…
Descriptors: Cognitive Style, Learning Management Systems, Geography Instruction, Experiential Learning
Fuhai An; Linjin Xi; Jingyi Yu – Education and Information Technologies, 2024
The current study assessed 495 middle school students in China using self-report questionnaires, to examine the multiple mediating effects of intrinsic motivation and learning engagement (vitality, dedication and absorption) in the relations between technology acceptance and students' self-regulated learning. The results indicated that technology…
Descriptors: Learner Engagement, Middle School Students, Metacognition, Learning Motivation
Fuhai An; Jiawei Guo – Education and Information Technologies, 2024
Peer relationships play important roles in middle-school students' individual development. Peer support is indispensable in computer-supported learning contexts. This study is designed to explore the connection between perceived peer support and deeper learning, while examining the mediating role of computer self-efficacy and perceived classroom…
Descriptors: Peer Relationship, Goal Orientation, Mastery Learning, Prediction
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Interactive Learning Environments, 2024
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Jenny Yun-Chen Chan; Erin R. Ottmar; Ji-Eun Lee – Grantee Submission, 2022
We examined the influences of pre-solving pause time, algebraic knowledge, mathematics self-efficacy, and mathematics anxiety on middle-schoolers' strategy efficiency in an algebra learning game. We measured strategy efficiency using (a) the number of steps taken to complete a problem; (b) the proportion of problems completed on the initial…
Descriptors: Problem Solving, Algebra, Self Efficacy, Mathematics Anxiety
Slof, Bert; van Leeuwen, Anouschka; Janssen, Jeroen; Kirschner, Paul A. – Journal of Computer Assisted Learning, 2021
In computer-supported collaborative learning research, studies examining the combined effects of individual level, group level and within-group differences level measures on individual achievement are scarce. The current study addressed this by examining whether individual, group and within-group differences regarding engagement and prior…
Descriptors: Cooperative Learning, Prior Learning, Secondary School Students, Academic Achievement
Donevska-Todorova, Ana; Lieban, Diego – International Journal for Technology in Mathematics Education, 2021
There has been a large amount of research about the impact of dynamic geometry software (DGS) on the learning of mathematics mainly related to different representations of mathematical concepts and functional dependences. This paper goes beyond these investigations by suggesting meaningful connection and integration of DGS with physical resources…
Descriptors: Geometry, Problem Solving, Mathematics Instruction, Heuristics
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2023
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Wesely, Pamela; Plummer, Elizabeth – JALT CALL Journal, 2021
This quantitative study explored how secondary world language (WL) learners' attitudes about computer-assisted language learning (CALL) were related to their attitudes and self-confidence about their language class and the prevalence of computer usage in their language classroom. Research has suggested positive correlations between these factors,…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Spanish
Marta Gràcia; Jesús M. Alvarado; Fàtima Vega; Maria Josep Jarque; Pamela Castillo; Ana Luisa Adam-Alcocer – Computer Assisted Language Learning, 2025
Digital tools can guide and support teachers in professional development programmes. The aim of this study was four-fold: (1) to explore changes introduced in classroom methodology by secondary school teachers during their participation in a professional development programme, using the digital tool EVALOE-DSS, based on conversational methodology;…
Descriptors: Oral Language, Faculty Development, Language Teachers, Second Language Instruction
Zachary G. Johnson; David Houchins; Kris Varjas; Eli Jimenez; Tracy McKinney – Education and Treatment of Children, 2024
Students with high incidence disabilities in the public school system often perform multiple grade levels below their typically developing peers in mathematics achievement. These students exhibit lower levels of on-task behavior that limits their access to effective instruction, thus requiring instructional interventions that personalize learning,…
Descriptors: Mathematics Achievement, Blended Learning, Students with Disabilities, Intervention
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2022
This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Brevik, Lisbeth M.; Holm, Thea – ELT Journal, 2023
Connecting informal and formal language teaching and learning has gained prominence as a way to understand language development among teenagers, but questions remain regarding its application in L2 contexts. This study investigates the significance of such connections in two L2 English classes taught by the same teacher, where students were…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, Informal Education
Tarihoran, Nafan; Alhourani, Alaa Q.; Ocaña-Fernandez, Yolvi; Alanya-Beltran, Joel; Hernández, Ronald M. – Journal of Language and Linguistic Studies, 2022
This study generally aims to assess the effectiveness of Facebook as a learning support tool in enhancing the writing performance of EFL students. It aims explicitly to ascertain students' perception of Facebook's usefulness, reliability, features, and language improvement as LLST. This study may be used as a reference for future research on…
Descriptors: Social Media, Computer Assisted Instruction, Writing Instruction, Writing Skills