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Showing 1 to 15 of 91 results Save | Export
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Cock, Jade Maï; Marras, Mirko; Giang, Christian; Käser, Tanja – International Educational Data Mining Society, 2022
Interactive simulations allow students to discover the underlying principles of a scientific phenomenon through their own exploration. Unfortunately, students often struggle to learn effectively in these environments. Classifying students' interaction data in the simulations based on their expected performance has the potential to enable adaptive…
Descriptors: Science Instruction, Prediction, Models, Interaction
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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
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
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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
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Dwyer, Christopher P.; Hogan, Michael J.; Harney, Owen M.; Kavanagh, Caroline – Educational Technology Research and Development, 2017
Critical thinking (CT) is a metacognitive process, consisting of a number of sub-skills and dispositions that, when used appropriately, increases the chances of producing a logical conclusion to an argument or solution to a problem. Though the CT literature argues that dispositions are as important to CT as is the ability to perform CT skills, the…
Descriptors: Critical Thinking, Metacognition, Interaction, Personality Traits
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Papanikolaou, Kyparisia A. – IEEE Transactions on Learning Technologies, 2015
In this paper, we discuss how externalizing learners' interaction behavior may support learners' explorations in an adaptive educational hypermedia environment that provides activity-oriented content. In particular, we propose a model for producing interpretative views of learners' interaction behavior and we further apply this model to…
Descriptors: Student Behavior, Interaction, Hypermedia, Educational Technology
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Liu, Chen-Chung; Liu, Kuo-Ping; Wang, Pi-Hui; Chen, Gwo-Dong; Su, Mu-Chun – British Journal of Educational Technology, 2012
Software avatars are increasingly applied to support children's collaborative storytelling because avatars may serve as a transparent shield or as embodied agents to facilitate creativity in children. However, when using avatars, it is not easy for children to practise and refine their speaking skills by narrating their stories to an audience. The…
Descriptors: Creativity, Interaction, Speech Skills, Elementary School Students
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Jorczak, Robert L. – International Journal of Computer-Supported Collaborative Learning, 2011
This paper presents a model of collaborative learning that takes an information processing perspective of learning by social interaction. The collaborative information processing model provides a theoretical basis for understanding learning principles associated with social interaction and explains why peer-to-peer discussion is potentially more…
Descriptors: Interaction, Cooperative Learning, Peer Relationship, Teacher Student Relationship
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Prosser, Andrew – Research-publishing.net, 2014
Digital storytelling is already used extensively in language education. Web documentaries, particularly in terms of design and narrative structure, provide an extension of the digital storytelling concept, specifically in terms of increased interactivity. Using a model of interactive, non-linear storytelling, originally derived from computer game…
Descriptors: Second Language Learning, Second Language Instruction, Story Telling, Documentaries
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Martin, Crystle; Steinkuehler, Constance – E-Learning and Digital Media, 2010
This article explores the forms of information literacy that arise in commercial entertainment games like "World of Warcraft." Using examples culled from eight months of online ethnographic data, the authors detail the forms of information literacy that arise as a regular part of in-game social interaction, emphasizing (ironically) the…
Descriptors: Ethnography, Interaction, Information Literacy, Library Services
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Deng, Liping; Yuen, Allan H. K. – Computers & Education, 2011
Accompanying the emergence of blog technology as a dominant online publishing paradigm is a growing interest in its educational benefits and applications. This study sets out to develop an empirically grounded framework for educational blogging in the context of teacher education. A working framework was first proposed that highlights four areas:…
Descriptors: Student Teachers, Web Sites, Electronic Publishing, Educational Benefits
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Ma, Will W. K.; Yuen, Allan H. K. – Computers & Education, 2011
The unique features and capabilities of online learning are built on the ability to connect to a wider range of learning resources and peer learners that benefit individual learners, such as through discussion forums, collaborative learning, and community building. The success of online learning thus depends on the participation, engagement, and…
Descriptors: Electronic Learning, Undergraduate Students, Sharing Behavior, Interaction
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Yuen, Timothy; Liu, Min – Journal of Interactive Learning Research, 2011
This paper presents a cognitive model of how interactive multimedia authoring (IMA) affect novices' cognition in object-oriented programming. This model was generated through an empirical study of first year computer science students at the university level being engaged in interactive multimedia authoring of a role-playing game. Clinical…
Descriptors: Feedback (Response), Programming, Cognitive Processes, Task Analysis
Kopstein, Felix F.; Seidel, Robert J. – 1970
The computer's potential for education, and most particularly for instruction, is contingent on the development of a class of instructional decision models (formal instructional strategies) that interact with the student through appropriate peripheral equipment (man-machine interfaces). Computer hardware and software by themselves should not be…
Descriptors: Computer Assisted Instruction, Decision Making, Interaction, Man Machine Systems
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