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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
Yiqiu Zhou; Jina Kang – Journal of Learning Analytics, 2023
Collaboration is a complex, multidimensional process; however, details of how multimodal features intersect and mediate group interactions have not been fully unpacked. Characterizing and analyzing the temporal patterns based on multimodal features is a challenging yet important work to advance our understanding of computer-supported collaborative…
Descriptors: Attention Control, Cooperative Learning, Data Analysis, Computer Assisted Instruction
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
Zhou, Yuhao; Li, Xihua; Cao, Yunbo; Zhao, Xuemin; Ye, Qing; Lv, Jiancheng – International Educational Data Mining Society, 2021
In educational applications, "Knowledge Tracing" (KT) has been widely studied for decades as it is considered a fundamental task towards adaptive online learning. Among proposed KT methods, Deep Knowledge Tracing (DKT) and its variants are by far the most effective ones due to the high flexibility of the neural network. However, DKT…
Descriptors: Online Courses, Computer Assisted Instruction, Networks, Learning Analytics
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
Leander S. Hughes – Technology in Language Teaching & Learning, 2023
Previous research comparing communicative to non-communicative computer-mediated tasks requiring output production found an advantage in L2 vocabulary learning efficiency in favor of the communicative task (Hughes, 2023). The present study analyzes the chat data from Hughes (2023) to determine what features of interaction may have contributed to…
Descriptors: Second Language Learning, Second Language Instruction, Vocabulary Development, Task Analysis
Harney, Owen M.; Hogan, Michael J.; Quinn, Sarah – International Journal of Computer-Supported Collaborative Learning, 2017
In a society which is calling for more productive modes of collaboration to address increasingly complex scientific and social issues, greater involvement of students in dialogue, and increased emphasis on collaborative discourse and argumentation, become essential modes of engagement and learning. This paper investigates the effects of…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Prompting, Persuasive Discourse
Garnes-Tarazona, Inmaculada – International Journal of Computer-Assisted Language Learning and Teaching, 2018
Second language teaching and learning has experienced a change towards the use of mobile technologies inside and outside the classroom. The goal of this article is twofold: to compare and evaluate three different commercial English language learning apps (Duolingo, Babbel, and Busuu) that cover the four skills (speaking, writing, listening, and…
Descriptors: Learning Theories, Sociocultural Patterns, Second Language Learning, Second Language Instruction
Porouhan, Parham – International Journal of Web-Based Learning and Teaching Technologies, 2018
This article builds on the intersection of educational process mining and the automatic analysis of student's collaborative interaction data previously collected from a web-based multi-tabletop learning environment. The main focus of the article was to analyze and interpret the data using several process mining techniques in order to increase the…
Descriptors: Data Analysis, Cooperative Learning, Web Based Instruction, Student Participation
Lee, Dong-Kuk; Lee, Eun-Sang – EURASIA Journal of Mathematics, Science & Technology Education, 2016
The engineering design process has been largely implemented in a collaborative project format. Recently, technological advancement has helped collaborative problem solving processes such as engineering design to have efficient implementation using computers or online technology. In this study, we investigated college students' interaction and…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Engineering Education, Teamwork
Pan, Wen Fu – Educational Technology & Society, 2017
The objective of this study was to test whether the Kinect motion-sensing interactive system (KMIS) enhanced students' English vocabulary learning, while also comparing the system's effectiveness against a traditional computer-mouse interface. Both interfaces utilized an interactive game with a questioning strategy. One-hundred and twenty…
Descriptors: Elementary School Students, English Instruction, Vocabulary Development, Control Groups
Blayney, Paul; Kalyuga, Slava; Sweller, John – Educational Technology & Society, 2015
Tailoring of instructional methods to learner levels of expertise may reduce extraneous cognitive load and improve learning. Contemporary technology-based learning environments have the potential to substantially enable learner-adapted instruction. This paper investigates the effects of adaptive instruction based on using the isolated-interactive…
Descriptors: Cognitive Processes, Difficulty Level, Accounting, Teaching Methods
Hong, Huang-Yao; Chiu, Chieh-Hsin – Australasian Journal of Educational Technology, 2016
This study explored how students viewed the role of ideas for knowledge work and how such a view was related to their inquiry activities. Data mainly came from students' online interaction logs, group discussion and inquiry, and a survey concerning the role of ideas for knowledge work. The findings suggest that knowledge building was conducive to…
Descriptors: Technology Uses in Education, Electronic Learning, Educational Technology, Interaction
Whitman, Lisa – ProQuest LLC, 2013
Many people face the challenge of finding effective computer-based software instruction, including employees who must learn how to use software applications for their job and students of distance education classes. Therefore, it is important to conduct research on how computer-based multimedia software tutorials should be designed so they are as…
Descriptors: Computer Software, Computer Assisted Instruction, Tutorial Programs, Employees
Lin, Chih-Cheng; Hsiao, Hsien-Sheng; Tseng, Sheng-ping; Chan, Hsin-jung – Turkish Online Journal of Educational Technology - TOJET, 2014
This study was intended to investigate whether computer-assisted collaborative learning is comparable with computer-free and individual learning; in particular, it examined each of their effects on learning English vocabulary, followed by an analysis of their behavior patterns. In a junior high school in northern Taiwan, a normal classroom was…
Descriptors: English (Second Language), Second Language Instruction, Foreign Countries, Vocabulary Development

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