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Westera, Wim; Prada, Rui; Mascarenhas, Samuel; Santos, Pedro A.; Dias, João; Guimarães, Manuel; Georgiadis, Konstantinos; Nyamsuren, Enkhbold; Bahreini, Kiavash; Yumak, Zerrin; Christyowidiasmoro, Chris; Dascalu, Mihai; Gutu-Robu, Gabriel; Ruseti, Stefan – Education and Information Technologies, 2020
This article provides a comprehensive overview of artificial intelligence (AI) for serious games. Reporting about the work of a European flagship project on serious game technologies, it presents a set of advanced game AI components that enable pedagogical affordances and that can be easily reused across a wide diversity of game engines and game…
Descriptors: Artificial Intelligence, Educational Games, Educational Technology, Computer Software
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Hershcovits, Haviv; Vilenchik, Dan; Gal, Kobi – IEEE Transactions on Learning Technologies, 2020
This paper studies students engagement in e-learning environments in which students work independently and solve problems without external supervision. We propose a new method to infer engagement patterns of users in such self-directed environments. We view engagement as a continuous process in time, measured along chosen axes that are derived…
Descriptors: Electronic Learning, Problem Solving, Independent Study, Factor Analysis
Nickow, Andre; Oreopoulos, Philip; Quan, Vincent – National Bureau of Economic Research, 2020
Tutoring--defined here as one-on-one or small-group instructional programming by teachers, paraprofessionals, volunteers, or parents--is one of the most versatile and potentially transformative educational tools in use today. Within the past decade, dozens of preK-12 tutoring experiments have been conducted, varying widely in their approach,…
Descriptors: Tutoring, Preschool Education, Elementary Secondary Education, Program Effectiveness
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Mitrovic, Antonija; Ohlsson, Stellan – International Journal of Artificial Intelligence in Education, 2016
SQL-Tutor is the first constraint-based tutor. The initial conference papers about the system were published in 1998 (Mitrovic 1998a, 1998b, 1998c), with an "IJAIED" paper published in 1999 (Mitrovic and Ohlsson, "International Journal Artificial Intelligence in Education," 10(3-4), 238-256, 1999). We published another…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Computer System Design
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Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2016
This paper presents an extension of the Additive Factors Model to predict learning for students by accounting for aspects of collaboration. The results indicate that student performance is predicted more accurately when the model includes parameters that capture influences of working collaboratively. [This paper was published in: "Proceedings…
Descriptors: Intelligent Tutoring Systems, Cooperation, Models, Students
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Rojano, Teresa; García-Campos, Montserrat – Teaching Mathematics and Its Applications, 2017
This article reports the outcomes of a study that seeks to investigate the role of feedback, by way of an intelligent support system in natural language, in parametrized modelling activities carried out by a group of tertiary education students. With such a system, it is possible to simultaneously display on a computer screen a dialogue window and…
Descriptors: Mathematics Instruction, Feedback (Response), Intelligent Tutoring Systems, College Students
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Bunting, Bryce; Williams, David – Mentoring & Tutoring: Partnership in Learning, 2017
While past researchers suggest undergraduate peer mentors (PMs) benefit from mentoring their peers, this experience is rarely associated with transformative learning. Using narrative analysis of authentic mentoring stories, we explored how particular types of mentoring experiences contribute to transformative learning for PMs of first-year…
Descriptors: Mentors, Undergraduate Students, Personal Narratives, Peer Teaching
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Gupta, Achala – Educational Review, 2023
A growing body of research shows that private tutoring is a globally pervasive phenomenon. A common way in which tutoring provisions are defined is with the use of the metaphor "shadow education", signifying that tutoring centres "shadow" formal schools. Despite the popularity of this metaphor in the field, how…
Descriptors: Tutoring, Private Education, Ethnography, Alignment (Education)
Fesler, Lily; Gu, Anna; Chojnacki, Greg – Mathematica, 2023
Air Tutors is an online tutoring organization that provides one-on-one and small group tutoring for K-12 students. Air Tutors uses live, online tutoring and an online platform that incorporates video conferencing and interactive whiteboards; recruits high-quality paid tutors with tutoring experience and engaging online personalities; and engages…
Descriptors: Tutoring, Elementary Secondary Education, Educational Technology, Videoconferencing
Williams, Breyon; Rooney, Connor; Chojnacki, Greg – Mathematica, 2023
Breakthrough Collaborative operates as two dozen community-based affiliates supported by a national office. Traditionally, the Breakthrough model has consisted of two components: (1) a summer enrichment program that provides academic and social-emotional learning support to students; and (2) out-of-school-time tutoring and enrichment during the…
Descriptors: Middle School Students, Grade 8, High School Students, College Students
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Sense, Florian; van der Velde, Maarten; van Rijn, Hedderik – Journal of Learning Analytics, 2021
Modern educational technology has the potential to support students to use their study time more effectively. Learning analytics can indicate relevant individual differences between learners, which adaptive learning systems can use to tailor the learning experience to individual learners. For fact learning, cognitive models of human memory are…
Descriptors: Predictor Variables, Undergraduate Students, Learning Analytics, Cognitive Psychology
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Kim, Taeyoung; Chu, Sung Kyung; Byeon, So Yeon; Yoon, Hae Gyung; Kim, Yongha; Jo, Hyunmyung – International Journal of Higher Education, 2021
The rapid spread of online classes in higher education during and after the COVID-19 pandemic has created a growing need for research that explores the issue of student disengagement in online courses. In this regard, the present study suggests a Peer-Tutoring Online Discussion (POD) class model to increase student engagement in online courses…
Descriptors: Peer Teaching, Tutoring, Discussion (Teaching Technique), Computer Mediated Communication
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Bush, Jeffrey B. – British Journal of Educational Technology, 2021
Rational number and fractions concepts are inherently difficult; and lack of mastery often holds students back from success in subsequent mathematics courses. This paper describes design characteristics of a software based, adaptive, rational number tutor with virtual manipulatives, realistic contexts, and procedural feedback. Then, the paper…
Descriptors: Manipulative Materials, Intervention, Concept Formation, Fractions
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Özdere, Mustafa – Journal of Education and Learning, 2021
This article explores the process, reasons, and determinants of private tutoring as perceived by the high school students in Sanliurfa, Turkey. This is a survey study and the quantitative data for the study was collected with a questionnaire from 1329 high school students during the spring semester in 2019. According to the findings, almost half…
Descriptors: Educational Demand, Private Education, Tutoring, High School Students
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Davies, Christine – Journal of University Teaching and Learning Practice, 2021
The Doctorate in Professional Practice (DProf) programme at the University of Wales Trinity Saint David (UWTSD) provides a means for practitioners in a range of professions to undertake research, and achieve doctoral status, whilst maintaining their professional roles. The programme is generic, covering a wide range of professional backgrounds,…
Descriptors: Electronic Learning, Seminars, Statistics Education, Statistical Analysis
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