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Wilson, Chunyu; Scott, Bernard – International Journal of Information and Learning Technology, 2017
Purpose: The purpose of this paper is to review the use of adaptive systems in education. It is intended to be a useful introduction for the non-specialist reader. Design/methodology/approach: A distinction is made between intelligent tutoring systems (ITSs) and adaptive hypermedia systems (AHSs). The two kinds of system are defined, compared and…
Descriptors: Intelligent Tutoring Systems, Hypermedia, Comparative Analysis, Teaching Methods
Green, Nicholas – ProQuest LLC, 2017
Worked-out examples are a common teaching strategy that aids learners in understanding concepts by use of step-by-step instruction. Literature has shown that they can be extremely beneficial, with a large body of material showing they can provide benefits over regular problem solving alone. This research looks into the viability of using this…
Descriptors: Computer Science Education, Intelligent Tutoring Systems, Teaching Methods, Units of Study
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Klingler, Severin; Wampfler, Rafael; Käser, Tanja; Solenthaler, Barbara; Gross, Markus – International Educational Data Mining Society, 2017
Gathering labeled data in educational data mining (EDM) is a time and cost intensive task. However, the amount of available training data directly influences the quality of predictive models. Unlabeled data, on the other hand, is readily available in high volumes from intelligent tutoring systems and massive open online courses. In this paper, we…
Descriptors: Classification, Artificial Intelligence, Networks, Learning Disabilities
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Acikgul Firat, Esra; Firat, Selcuk – Turkish Online Journal of Distance Education, 2021
Web 3.0 technologies have inevitably affected educational research. Many studies have been conducted on the use of Web 3.0 tools in learning environments. The synthesis and summarization of the results of these studies with a systematic review is considered important in terms of being the source of future research and helping to spread the use of…
Descriptors: Web 2.0 Technologies, Technology Uses in Education, Computer Simulation, Intelligent Tutoring Systems
Fang, Ying; Lippert, Anne; Cai, Zhiqiang; Chen, Su; Frijters, Jan C.; Greenberg, Daphne; Graesser, Arthur C. – Grantee Submission, 2021
A common goal of Intelligent Tutoring Systems (ITS) is to provide learning environments that adapt to the varying abilities and characteristics of users. This type of adaptivity is possible only if the ITS has information that characterizes the learning behaviors of its users and can adjust its pedagogy accordingly. This study investigated an…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Reading Comprehension
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Benzie, Helen Joy; Harper, Rowena – Teaching in Higher Education, 2020
Academic literacies research emphasizes the importance of social context for understanding student writing development in higher education. In particular, students' choices of textual practices are shaped by perceptions of disciplinary norms and institutional expectations. In contemporary online learning environments, however, student writing is…
Descriptors: Academic Language, Writing Instruction, Teaching Methods, Student Attitudes
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Serhan, Derar; Almeqdadi, Farouq – International Journal of Technology in Education and Science, 2020
Enhancing students' conceptual understanding and increasing student motivation to effectively participate in classroom discussions are important for instructors of mathematics. Web-based homework management systems provide alternatives to the traditional pen-and-paper based approaches. In addition, these tools facilitate the creation of a…
Descriptors: Student Attitudes, Mathematics Instruction, Homework, Assignments
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Choi, Ping Man Samuel; Lam, Sze Sing – Interactive Technology and Smart Education, 2018
Purpose: The purpose of this paper is to outline a hierarchical model for developing essential e-textbook functionality and to offer important insight for e-textbook designers. Design/methodology/approach: Guided by the SAMR model, five hierarchical functional layers are proposed in the development process for e-textbook to enable more effective…
Descriptors: Textbooks, Electronic Publishing, Design, Educational Technology
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Ji, Xuejun Ryan; Beerwinkle, Andrea; Wijekumar, Kausalai; Lei, Puiwa; Malatesha Joshi, R.; Zhang, Shuai – Reading and Writing: An Interdisciplinary Journal, 2018
Latent transition analysis (LTA) was conducted on data from a recent cluster randomized controlled study of 1808 seventh-grade students' use of a web-based intelligent tutoring system (ITSS). This analysis goes beyond traditional variable-centered methods to focus on profiles of learners and changes in reading class membership between pre- and…
Descriptors: Intelligent Tutoring Systems, Grade 7, Reading Instruction, Intervention
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Liu, Ran; Stamper, John; Davenport, Jodi – Journal of Learning Analytics, 2018
Temporal analyses are critical to understanding learning processes, yet understudied in education research. Data from different sources are often collected at different grain sizes, which are difficult to integrate. Making sense of data at many levels of analysis, including the most detailed levels, is highly time-consuming. In this paper, we…
Descriptors: Intelligent Tutoring Systems, Learning, Data Analysis, Student Development
Roscoe, Rod D.; Allen, Laura K.; McNamara, Danielle S. – Grantee Submission, 2018
A critical challenge for computer-based writing instruction is providing appropriate and adaptive practice. The current study examined three modes of computer-based writing practice with the goal of identifying those with the greatest learning and motivational value. High school students learned about writing strategies by studying lessons within…
Descriptors: High School Students, Writing Instruction, Computer Assisted Instruction, Writing Strategies
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Li, Haiying; Gobert, Janice; Dickler, Rachel; Morad, Natali – Grantee Submission, 2018
In the present study, we first examined the formality and use of academic language in students' scientific explanations in the form of written claim, written evidence, and written reasoning (CER). Middle school students constructed explanations within an intelligent tutoring system after completing a virtual science inquiry investigation. Results…
Descriptors: Academic Language, Language Usage, Intelligent Tutoring Systems, Middle School Students
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Cung, Bianca; Xu, Di; Eichhorn, Sarah; Warschauer, Mark – American Journal of Distance Education, 2019
Addressing high demand for developmental math instruction and low rates of successful completing of the developmental coursework, with cost and space constraints, has been an ongoing challenge for postsecondary institutions. With advances in online instructional technology, particularly those based on artificial intelligence, web-based instruction…
Descriptors: Developmental Studies Programs, Remedial Mathematics, College Readiness, Blended Learning
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Singh, Ninni; Ahuja, Neelu Jyothi – International Journal of Web-Based Learning and Teaching Technologies, 2019
Face-to-face human tutoring in classroom environments amply facilitates human tutor-learner interactions wherein the tutor gets opportunity to exercise his cognitive intelligence to understand learner's pre-knowledge level, learning pattern, specific learning difficulties, and be able to offer course content well-aligned to the learner's…
Descriptors: Intelligent Tutoring Systems, Sequential Learning, Student Centered Learning, Curriculum Design
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Bibauw, Serge; François, Thomas; Desmet, Piet – Computer Assisted Language Learning, 2019
This article presents the results of a systematic review of the literature on dialogue-based CALL, resulting in a conceptual framework for research on the matter. Applications allowing a learner to have a conversation in a foreign language with a computer have been studied from various perspectives and under different names (dialogue systems,…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Teaching Methods
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