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du Boulay, Benedict – British Journal of Educational Technology, 2019
Intelligent Tutoring systems (ITSs) and Intelligent Learning Environments (ILEs) have been developed and evaluated over the last 40 years. Recent meta-analyses show that they perform well enough to act as effective classroom assistants under the guidance of a human teacher. Despite this success, they have been criticised as embodying a retrograde…
Descriptors: Intelligent Tutoring Systems, Teaching Methods, Meta Analysis, Artificial Intelligence
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Fang, Ying; Ren, Zhihong; Hu, Xiangen; Graesser, Arthur C. – Educational Psychology, 2019
Assessment and Learning in Knowledge Spaces (ALEKS) is one of the widely used online intelligent tutoring systems (ITS) in the USA, but it has rarely been included in meta-analyses of ITS efficacy to help students learn. We conducted a meta-analysis to assess the effectiveness of ALEKS on learning. A total of 15 empirical studies were conducted…
Descriptors: Electronic Learning, Intelligent Tutoring Systems, Meta Analysis, Instructional Effectiveness
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Zanetti, Margot; Iseppi, Giulia; Cassese, Francesco Peluso – Research on Education and Media, 2019
This work analyses the use of artificial intelligence in education from an interdisciplinary point of view. New studies demonstrated that an AI can "deviate" and become potentially malicious, due to programmers' biases, corrupted feeds or purposeful actions. Knowing the pervasive use of artificial intelligence systems, including in the…
Descriptors: Artificial Intelligence, Programming, Technology Uses in Education, Influence of Technology
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Mohamed, Mohamed Zulhilmi bin; Hidayat, Riyan; Suhaizi, Nurain Nabilah binti; Sabri, Norhafiza binti Mat; Mahmud, Muhamad Khairul Hakim bin; Baharuddin, Siti Nurshafikah binti – International Electronic Journal of Mathematics Education, 2022
The advancement of technology like artificial intelligence (AI) provides a chance to help teachers and students solve and improve teaching and learning performances. The goal of this review is to add to the conversation by offering a complete overview of AI in mathematics teaching and learning for students at all levels of education. A systematic…
Descriptors: Artificial Intelligence, Mathematics Instruction, Meta Analysis, Databases
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Le, Huixiao; Jia, Jiyou – Interactive Technology and Smart Education, 2022
Purpose: In intelligent tutoring systems (ITS), learners were often granted limited authority and are forced to obey the decision of the system which might not satisfy their needs. Failure to grant learners sufficient autonomy could yield unexpected effects that hinder learning, including undermining learners' motivation, priming learners'…
Descriptors: Intelligent Tutoring Systems, Design, Program Implementation, Personal Autonomy
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Dickler, Rachel; Gobert, Janice; Sao Pedro, Michael – Journal of Learning Analytics, 2021
Educational technologies, such as teacher dashboards, are being developed to support teachers' instruction and students' learning. Specifically, dashboards support teachers in providing the just-in-time instruction needed by students in complex contexts such as science inquiry. In this study, we used the Inq-Blotter teacher-alerting dashboard to…
Descriptors: Educational Technology, Science Education, Science Process Skills, Intelligent Tutoring Systems
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VanLehn, Kurt; Burkhardt, Hugh; Cheema, Salman; Kang, Seokmin; Pead, Daniel; Schoenfeld, Alan; Wetzel, Jon – Interactive Learning Environments, 2021
Mathematics is often taught by explaining an idea, then giving students practice in applying it. Tutoring systems can increase the effectiveness of this method by monitoring the students' practice and giving feedback. However, math can also be taught by having students work collaboratively on problems that lead them to discover the idea. Here,…
Descriptors: Intelligent Tutoring Systems, Cooperative Learning, Mathematics Instruction, Instructional Effectiveness
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Lee, Jungmin; Chow, Sy-Miin; Lei, Puiwa; Wijekumar, Kausalai; Molenaar, Peter C. M. – Educational Technology Research and Development, 2021
The intelligent tutoring system of structure strategy (ITSS) is a web-based digital tutoring system proven to be effective in helping students recognize and use text structures to comprehend and recall texts. However, little is known about the dynamic learning processes within the ITSS. This study aims to investigate the effects of feedback dosage…
Descriptors: Feedback (Response), Intelligent Tutoring Systems, Time Factors (Learning), Web Based Instruction
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Zhang, Qiao; Maclellan, Christopher J. – International Educational Data Mining Society, 2021
Knowledge tracing algorithms are embedded in Intelligent Tutoring Systems (ITS) to keep track of students' learning process. While knowledge tracing models have been extensively studied in offline settings, very little work has explored their use in online settings. This is primarily because conducting experiments to evaluate and select knowledge…
Descriptors: Electronic Learning, Mastery Learning, Computer Simulation, Intelligent Tutoring Systems
Benjamin D. Nye; Aaron Shiel; Ibrahim Burak Olmez; Anirudh Mittal; Jason Latta; Daniel Auerbach; Yasemin Copur-Gencturk – Grantee Submission, 2021
Despite the critical role of teachers in the educational process, few advanced learning technologies have been developed to support teacher-instruction or professional development. This lack of support is particularly acute for middle school math teachers, where only 37% felt well prepared to scaffold instruction to address the needs of diverse…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Faculty Development, Abstract Reasoning
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Joel B. Jalon Jr.; Goodwin A. Chua; Myrla de Luna Torres – International Journal of Education in Mathematics, Science and Technology, 2024
ChatGPT is largely acknowledged for its substantial capacity to enhance the teaching and learning process despite some concerns. Based on the available literature, no study compares groups of students using ChatGPT and those who did not, more so in programming. Therefore, the main goal of this study was to examine how ChatGPT affects SHS students'…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Learning Processes
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Anupama Nair – Educational Practice and Theory, 2024
This has made educators examine newer instructional methodologies whose efforts have brought a shift in the teaching methods from traditional methods to contemporary methods. Though similar philosophies and techniques have come up over the past few decades, the flipped classroom is a prominent approach in the educational environment. A modest…
Descriptors: Technological Advancement, Flipped Classroom, Intellectual Disciplines, Learner Engagement
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Gervet, Theophile; Koedinger, Ken; Schneider, Jeff; Mitchell, Tom – Journal of Educational Data Mining, 2020
Intelligent tutoring systems (ITSs) teach skills using learning-by-doing principles and provide learners with individualized feedback and materials adapted to their level of understanding. Given a learner's history of past interactions with an ITS, a learner performance model estimates the current state of a learner's knowledge and predicts her…
Descriptors: Learning Processes, Intelligent Tutoring Systems, Feedback (Response), Knowledge Level
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Oker, Ali; Pecune, Florian; Declercq, Christelle – Education and Information Technologies, 2020
Virtual tutors are a promising technology, providing a rich interactive environment for children to learn in. However, the question of how they should behave in order to enhance pupils' motivation remains unanswered. Using an embodied conversational agent platform, we tested human-computer interactions with 22 children aged 9-11 years. Children…
Descriptors: Learning Motivation, Feedback (Response), Empathy, Interaction
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Campbell, Tye G.; Zelkowski, Jeremy – International Journal for Technology in Mathematics Education, 2020
Proof and argumentation are essential components of learning mathematics, and technology can mediate students' abilities to learn. This systematic literature review synthesizes empirical literature which examines technology as a support for proof and argumentation across all content domains. The themes of this review are revealed through analyzing…
Descriptors: Computer Uses in Education, Computer Software, Intelligent Tutoring Systems, Mathematical Logic
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