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Marilena Panaite; Mihai Dascalu; Amy Johnson; Renu Balyan; Jianmin Dai; Danielle S. McNamara; Stefan Trausan-Matu – Grantee Submission, 2018
Intelligent Tutoring Systems (ITSs) are aimed at promoting acquisition of knowledge and skills by providing relevant and appropriate feedback during students' practice activities. ITSs for literacy instruction commonly assess typed responses using Natural Language Processing (NLP) algorithms. One step in this direction often requires building a…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Algorithms, Decision Making
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Hamouda, Sally; Edwards, Stephen H.; Elmongui, Hicham G.; Ernst, Jeremy V.; Shaffer, Clifford A. – Computer Science Education, 2020
Background and Context: Recursion in binary trees has proven to be a hard topic. There was not much research on enhancing student understanding of this topic. Objective: We present a tutorial to enhance learning through practice of recursive operations in binary trees, as it is typically taught post-CS2. Method: We identified the misconceptions…
Descriptors: Computer Science Education, Programming, Coding, Student Attitudes
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Peltier, Tiffany K.; Washburn, Erin K.; Pulos, Joshua M.; Peltier, Corey – Insights into Learning Disabilities, 2020
Professional organizations, researchers, and teacher educators have all highlighted the need for teachers to have deep, extensive, and flexible knowledge about teaching foundational skills (i.e., phonological awareness, phonics, and spelling) to beginning readers and students with a learning disability in word-level reading and for teacher…
Descriptors: Special Education Teachers, Preservice Teachers, Knowledge Level, Reflection
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Gu, Jerry; Andreopoulos, Stavroula; Jenkinson, Jodie; Ng, Derek P. – Biochemistry and Molecular Biology Education, 2020
Enzyme kinetics is the study of enzymatic catalytic rates in biochemical reactions. This topic is commonly taught to life science students in introductory biochemistry courses during their undergraduate education. Unlike most other biochemistry topics, which focus on visual structures of biomolecules and their processes, enzyme kinetics is…
Descriptors: Biochemistry, Science Instruction, Undergraduate Students, Web Based Instruction
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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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