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Roux, Lisa; Dagorret, Pantxika; Etcheverry, Patrick; Nodenot, Thierry; Marquesuzaa, Christophe; Lopisteguy, Philippe – International Association for Development of the Information Society, 2021
Distance computer-assisted learning is increasingly common, owing largely to the expansion and development of e-technology. Nevertheless, the available tools of the learning platforms have demonstrated their limits during the pandemic context, since many students, who were used to "face-to-face" education, got discouraged and dropped out…
Descriptors: Distance Education, Computer Software, Teacher Student Relationship, Supervision
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Gilbert, Stephen B.; Blessing, Stephen B.; Guo, Enruo – International Journal of Artificial Intelligence in Education, 2015
The Extensible Problem Specific Tutor (xPST) allows authors who are not cognitive scientists and not programmers to quickly create an intelligent tutoring system that provides instruction akin to a model-tracing tutor. Furthermore, this instruction is overlaid on existing software, so that the learner's interface does not have to be made from…
Descriptors: Intelligent Tutoring Systems, Authors, Computer Software, Computer Interfaces
Pelánek, Radek – International Educational Data Mining Society, 2015
Human memory has been thoroughly studied and modeled in psychology, but mainly in laboratory setting under simplified conditions. For application in practical adaptive educational systems we need simple and robust models which can cope with aspects like varied prior knowledge or multiple-choice questions. We discuss and evaluate several models of…
Descriptors: Memory, Models, Students, Intelligent Tutoring Systems
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Grivokostopoulou, Foteini; Perikos, Isidoros; Hatzilygeroudis, Ioannis – International Journal of Artificial Intelligence in Education, 2017
In this paper, first we present an educational system that assists students in learning and tutors in teaching search algorithms, an artificial intelligence topic. Learning is achieved through a wide range of learning activities. Algorithm visualizations demonstrate the operational functionality of algorithms according to the principles of active…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Teaching Methods, Search Strategies
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Chu, Hui-Chuan; Tsai, William Wei-Jen; Liao, Min-Ju; Chen, Yuh-Min; Chen, Jou-Yin – Educational Technology & Society, 2020
Students with Autism Spectrum Disorder (ASD) in general have been found to have significantly lower academic achievement relative to their level of ability. Research has shown that students' emotional impairment with ASD severely interferes with their learning process, and academic emotions are domain-specific in nature. Therefore, the regulation…
Descriptors: Electronic Learning, Self Control, Emotional Response, Psychological Patterns
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Qin, Fen; Li, Kai; Yan, Jianyuan – British Journal of Educational Technology, 2020
Artificial Intelligence (AI) has penetrated the field of education. Trust has long been regarded as a driver for the acceptance of technology. Netnography and interviews were used to investigate trust in AI-based educational systems from the perspective of users. We identified the factors influencing trust in AI-based educational systems and…
Descriptors: Trust (Psychology), Artificial Intelligence, Classification, Context Effect
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Youdell, Deborah; Lindley, Martin; Shapiro, Kimron; Sun, Yu; Leng, Yue – British Journal of Sociology of Education, 2020
In this paper we begin to explore how knowledges being generated in bioscience might be brought into productive articulation with the Sociology of Education, considering the potential for emerging transdisciplinary, 'biosocial' approaches to enable new ways of researching and understanding pressing educational issues. In this paper, as in our…
Descriptors: Interdisciplinary Approach, Neurosciences, Diagnostic Tests, Brain Hemisphere Functions
McCarthy, Kathryn S.; Watanabe, Micah; McNamara, Danielle S. – Grantee Submission, 2020
The Design Implementation Framework, or DIF, is a design approach that evaluates learner and user experience at multiple points in the development of intelligent tutoring systems. In this chapter, we explore how DIF was used to make system modifications to iSTART, a game-based intelligent tutoring system for reading comprehension. Using DIF as a…
Descriptors: Intelligent Tutoring Systems, Reading Comprehension, Educational Games, Program Development
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What Works Clearinghouse, 2020
Literacy skills are critical to students' academic achievement and setting them on a path to successful high school graduation and readiness for college and careers. "Web-Based Intelligent Tutoring for the Structure Strategy" ("ITSS") is a supplemental web-based program for students in grades K-8. It is designed to develop…
Descriptors: Intelligent Tutoring Systems, Web Based Instruction, Literacy Education, Reading Comprehension
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What Works Clearinghouse, 2020
Literacy skills are critical to students' academic achievement and setting them on a path to successful high school graduation and readiness for college and careers. "Web-Based Intelligent Tutoring for the Structure Strategy" ("ITSS") is a supplemental web-based program for students in grades K-8. It is designed to develop…
Descriptors: Intelligent Tutoring Systems, Web Based Instruction, Literacy Education, Reading Comprehension
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What Works Clearinghouse, 2020
Literacy skills are critical to students' academic achievement and setting them on a path to successful high school graduation and readiness for college and careers. "Web-Based Intelligent Tutoring for the Structure Strategy" ("ITSS") is a supplemental web-based program for students in grades K-8. It is designed to develop…
Descriptors: Intelligent Tutoring Systems, Web Based Instruction, Literacy Education, Reading Comprehension
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Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology
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Huang, Xinyi; Zou, Di; Cheng, Gary; Chen, Xieling; Xie, Haoran – Educational Technology & Society, 2023
Artificial Intelligence (AI) plays an increasingly important role in language education; however, the trends, research issues, and applications of AI in language learning remain largely under-investigated. Accordingly, the present paper, using bibliometric analysis, investigates these issues via a review of 516 papers published between 2000 and…
Descriptors: Trend Analysis, Educational Trends, Vocabulary Development, Artificial Intelligence
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Ibili, Emin; Resnyansky, Dmitry; Billinghurst, Mark – Education and Information Technologies, 2019
This paper examines mathematics teachers' level of acceptance and intention to use the Augmented Reality Geometry Tutorial System (ARGTS), a mobile Augmented Reality (AR) application developed to enhance students' 3D geometric thinking skills. ARGTS was shared with mathematics teachers, who were then surveyed using the Technology Acceptance Model…
Descriptors: Mathematics Teachers, Mathematics Instruction, Teacher Attitudes, Simulated Environment
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Afzal, Shazia; Dempsey, Bryan; D'Helon, Cassius; Mukhi, Nirmal; Pribic, Milena; Sickler, Aaron; Strong, Peggy; Vanchiswar, Mira; Wilde, Lorin – Childhood Education, 2019
As artificially intelligent systems make their foray into the day-to-day educational experiences of students, we need to pay careful attention to the relationship between the system and the student. In this article, the authors discuss designing the personality of a virtual tutoring system called IBM Watson Tutor. The AI personality is key to the…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Instructional Design, Learner Engagement
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