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Sun, Shuyan; Else-Quest, Nicole M.; Hodges, Linda C.; French, Allison M.; Dowling, Rebecca – Investigations in Mathematics Learning, 2021
As remote learning technologies play an increasingly larger role in education, clear evidence of effectiveness is needed for widely used online learning technologies, such as Assessment and LEarning in Knowledge Spaces (ALEKS). By adapting to individual students' knowledge states and personalizing interactive practice and feedback, ALEKS may…
Descriptors: Teaching Methods, Elementary School Mathematics, Secondary School Mathematics, College Mathematics
Ballantyne, Derek; Livingston, Candice; Garraway, James – Africa Education Review, 2021
The purpose of this study was to examine pre-service teachers' perceptions of their use of an intelligent tutoring system (ITS) as an English language proficiency tool. Pre-service teachers' perceptions were analysed using Engeström's second-generation cultural-historical activity theory (CHAT). A qualitative interpretivist paradigm was used. Six…
Descriptors: Preservice Teachers, Technology Uses in Education, Intelligent Tutoring Systems, English (Second Language)
Sahni, S. D.; Polanin, J. R.; Zhang, Q.; Michaelson, L. E.; Caverly, S.; Polese, M. L.; Yang, J. – What Works Clearinghouse, 2021
Due to the COVID-19 global pandemic, educators and school administrators need to understand the available distance learning models and programs that may assist students who attend school from a remote location. To meet this need, this rapid evidence review sought to identify and report on what works in distance learning educational programming.…
Descriptors: Program Evaluation, Program Effectiveness, Distance Education, Elementary Secondary Education
Underwood, Joshua – Research-publishing.net, 2021
Voice interaction assistants, such as "Siri," "Alexa," or "Google Assistant," offer new opportunities to create meaningful, fun tasks for language learning that require accurate spoken production. Designing good tasks requires an understanding of the learning context and needs as well as the interactional…
Descriptors: Audio Equipment, Second Language Learning, Second Language Instruction, Student Motivation
Rachel Dickler – ProQuest LLC, 2021
New educational technologies present an opportunity to help teachers monitor and support their students remotely in Science, Technology, Engineering, and Mathematics (STEM). However, most technologies do not have the capacity to comprehensively assess and report on students' critical 21st century practice competencies (such as those described in…
Descriptors: Inquiry, STEM Education, Educational Technology, Distance Education
Andrew David Haws – ProQuest LLC, 2021
The purpose of this study was to determine if the Summit Learning Platform, a type of Intelligent Tutoring System, has a positive association with mathematics achievement of high school students in grades nine through eleven. The study was conducted in a Midwest suburban school district among three high schools within the same district. Further, a…
Descriptors: Mathematics Achievement, Evaluation Methods, Cognitive Processes, Learning Management Systems
Scandura, Joseph M.; Novak, Elena – Technology, Instruction, Cognition and Learning, 2017
AuthorIT and TutorIT represent a fundamentally different approach to building and delivering adaptive learning systems. Intelligent Tutoring Systems (ITS) guide students as they solve problems. BIG DATA systems make pedagogical decisions based on average student performance. Decision making in AuthorIT and TutorIT is designed to model the human…
Descriptors: Intelligent Tutoring Systems, Decision Making, Knowledge Representation, Learning Theories
Gerdes, Alex; Heeren, Bastiaan; Jeuring, Johan; van Binsbergen, L. Thomas – International Journal of Artificial Intelligence in Education, 2017
Ask-Elle is a tutor for learning the higher-order, strongly-typed functional programming language Haskell. It supports the stepwise development of Haskell programs by verifying the correctness of incomplete programs, and by providing hints. Programming exercises are added to Ask-Elle by providing a task description for the exercise, one or more…
Descriptors: Intelligent Tutoring Systems, Automation, Feedback (Response), Programming Languages
Hicks, Andrew Gregory – ProQuest LLC, 2017
Games-Based Learning systems, particularly those that use advances from Intelligent Tutoring Systems (ITS) to provide adaptive feedback and support, have proven potential as learning tools. Taking their lead from commercial games such as Little Big Planet and SuperMarioMaker, these systems are increasingly turning to content creation as a learning…
Descriptors: Data, Decision Making, Intelligent Tutoring Systems, Educational Games
du Boulay, Benedict; del Soldato, Teresa – International Journal of Artificial Intelligence in Education, 2016
This paper describes the development and evaluation of a system called MORE (Motivational Reactive Plan) in the 1990s, designed with an explicit strategy to manage the learner's motivation on a minute-by-minute basis. Progress since the system was evaluated is outlined and our current thinking on the larger issues of the role that the learner's…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Student Motivation, Values
Tlili, Ahmed; Denden, Mouna; Essalmi, Fathi; Jemni, Mohamed; Chang, Maiga; Kinshuk; Chen, Nian-Shing – Interactive Learning Environments, 2023
The ability of automatically modeling learners' personalities is an important step in building adaptive learning environments. Several studies showed that knowing the personality of each learner can make the learning interaction with the provided learning contents and activities within learning systems more effective. However, the traditional…
Descriptors: Learning Analytics, Learning Management Systems, Intelligent Tutoring Systems, Bayesian Statistics
Belda-Medina, Jose; Kokošková, Vendula – International Journal of Educational Technology in Higher Education, 2023
Recent advances in Artificial Intelligence (AI) have paved the way for the integration of text-based and voice-enabled chatbots as adaptive virtual tutors in education. Despite the increasing use of AI-powered chatbots in language learning, there is a lack of studies exploring the attitudes and perceptions of teachers and students towards these…
Descriptors: Technology Integration, Technology Uses in Education, Artificial Intelligence, Man Machine Systems
Office of Educational Technology, US Department of Education, 2023
The U.S. Department of Education (Department) is committed to supporting the use of technology to improve teaching and learning and to support innovation throughout educational systems. This report addresses the clear need for sharing knowledge and developing policies for "Artificial Intelligence," a rapidly advancing class of…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Educational Policy
Tärning, Betty; Silvervarg, Annika – Education Sciences, 2019
How should a pedagogical agent in educational software be designed to support student learning? This question is complex seeing as there are many types of pedagogical agents and design features, and the effect on different student groups can vary. In this paper we explore the effects of designing a pedagogical agent's self-efficacy in order to see…
Descriptors: Intelligent Tutoring Systems, Self Efficacy, Educational Games, Student Attitudes
Rathod, Balraj B.; Murthy, Sahana; Bandyopadhyay, Subhajit – Journal of Chemical Education, 2019
"Is this solution pink enough?" is a persistent question when it comes to phenolphthalein-based titration experiments, one that budding, novice scientists often ask their instructors. Lab instructors usually answer the inquiry with remarks like, "Looks like you have overshot the end point", "Perhaps you should check the…
Descriptors: Handheld Devices, Telecommunications, Chemistry, Intelligent Tutoring Systems

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