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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
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
Tugtekin, Ufuk – Journal of Educational Technology, 2022
The development of web-based technologies and mobile devices, as well as their widespread usage, create favorable conditions for cyberloafing behaviors, raising the effects of cyberloafing in educational settings. The current study, which examined the behavioral levels and reasons of cyberloafing committed by college students in lectures, as well…
Descriptors: Undergraduate Students, Student Attitudes, Self Efficacy, Academic Ability
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
Chang, Chi-Cheng; Warden, Clyde A.; Liang, Chaoyun; Lin, Guan-You – Australasian Journal of Educational Technology, 2018
The purpose of this study was to examine differences in learning achievement, flow, and overall cognitive load between digital game-based learning (DGBL) and traditional computer-based learning (CBL). This study was conducted with 103 Taiwan college students: 50 college students in the experimental group used DGBL; 53 students in the control group…
Descriptors: Computer Games, College Students, Academic Achievement, Foreign Countries
Porter, J. – Journal of Computer Assisted Learning, 2018
Tablets have much to offer children with learning difficulties, but evidence of their effectiveness to teach academic skills is limited and cannot be easily separated from the quality of the software. This paper analyses data from 3 iterative cycles of designing an app for children with Down syndrome to support their awareness of quantity through…
Descriptors: Down Syndrome, Computer Software, Learning Problems, Handheld Devices
Rodríguez-Aflecht, G.; Jaakkola, T.; Pongsakdi, N.; Hannula-Sormunen, M.; Brezovszky, B.; Lehtinen, E. – Journal of Computer Assisted Learning, 2018
The present study focused on 212 fifth graders' situational interest trajectories during an intervention with a digital mathematics game called Number Navigation. Our aims were to explore the development of situational interest whilst playing the game and to investigate the relationship between situational interest and individual math interest.…
Descriptors: Computer Games, Mathematics Instruction, Intervention, Teaching Methods
Thekes, Istvan – International Journal of Technology in Education, 2021
Examining the relationship between technology and the success of language acquisition and the integration of technology into language instruction has been around of a long time by now. The development of technology can essentially change how languages are taught. Nevertheless, it is only in the last few years that the road has opened up for new…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Computer Software
Yang, J. C.; Lin, M. Y. D.; Chen, S. Y. – Journal of Computer Assisted Learning, 2018
Anxiety plays an influential role in foreign language learning. However, a lack of attention was paid to examining the effects of anxiety levels on learning performance and gaming performance in digital game-based learning. To this end, this study developed a game-based English learning system and investigated how different levels of anxiety…
Descriptors: Anxiety, Computer Games, Computer Assisted Instruction, Quasiexperimental Design
Designing Effective Pedagogical Approaches with Next-Generation LMS for Students in Higher Education
Laohajaratsang, Thanomporn – THAITESOL Journal, 2018
This research examines a selection of academic articles, existing evidence, and early indications of newly-designed Learning Management System (LMS) tools/functions, and then analyzes and synthesizes the concepts to form a thorough description of the components within the concept of next-generation LMS. The comparison of conventional LMS and…
Descriptors: Management Systems, Artificial Intelligence, Social Media, Computer Mediated Communication
Chen, Julian ChengChiang – Computer Assisted Language Learning, 2018
Driven by interactionist theory and operationalized by task-based interaction, this study aims to investigate EFL learners' task-based negotiation in Second Life (SL), a 3D multi-user virtual environment (MUVE). A group of adult EFL learners with diverse cultural/linguistic backgrounds in L1 participated in this task-based virtual class. Learners…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Assisted Instruction
Hao, Jiangang; Shu, Zhan; von Davier, Alina – Journal of Educational Data Mining, 2015
Students' activities in game/scenario-based tasks (G/SBTs) can be characterized by a sequence of time-stamped actions of different types with different attributes. For a subset of G/SBTs in which only the order of the actions is of great interest, the process data can be well characterized as a string of characters (i.e., action string) if we…
Descriptors: Task Analysis, Data Analysis, Vignettes, Correlation
Musa, Sajid; Ziatdinov, Rushan; Sozcu, Omer Faruk; Griffiths, Carol – European Journal of Contemporary Education, 2015
Computer animation in the past decade has become one of the most noticeable features of technology-based learning environments. By its definition, it refers to simulated motion pictures showing movement of drawn objects, and is often defined as the art in movement. Its educational application known as educational computer animation is considered…
Descriptors: Animation, Personality Traits, Computer Graphics, Interdisciplinary Approach
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