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Berry, Landon K. – Communication Center Journal, 2017
The author has taught writing/communication for five years and consecutively for four. Preceding both periods of teaching were very informative and groundbreaking years as a tutor in two amazing communication centers. To say that these centers had a profound impact on the pedagogy of the author, is an understatement. The author has always strived…
Descriptors: Writing Instruction, Academic Support Services, Tutoring, Teaching Methods
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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
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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
Rasche, Alexander N. – ProQuest LLC, 2017
This study investigated the tutoring practices of mathematics tutors working in one university tutoring center and the corresponding rationale exhibited by the mathematics tutors. This study illustrates how the tutoring practices of mathematics tutors align with the Eight Mathematics Teaching Practices outlined in NCTM's recent publication…
Descriptors: Mathematics Instruction, Tutors, Tutoring, Teaching Methods
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
Kristensen, Terje – International Association for Development of the Information Society, 2016
An E-learning system based on a multi-agent (MAS) architecture combined with the Dynamic Content Manager (DCM) model of E-learning, is presented. We discuss the benefits of using such a multi-agent architecture. Finally, the MAS architecture is compared with a pure service-oriented architecture (SOA). This MAS architecture may also be used within…
Descriptors: Intelligent Tutoring Systems, Electronic Learning, Database Management Systems, Courseware
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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
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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
Gamoran, Adam; Murnane, Richard – William T. Grant Foundation, 2023
Educational inequality is a long-standing and persistent challenge. Never has this inequality been more evident than during the COVID-19 era. The pandemic put existing divisions into sharp relief, and made them worse. Recent evidence tells a terrible story of the consequences of the pandemic--and the response of the education system to the…
Descriptors: Equal Education, COVID-19, Pandemics, Educational Research
Duncombe, Chris; Syverson, Eric – Education Commission of the States, 2023
Innovation in education is vital for responding to emerging challenges, such as the COVID-19 pandemic, and for building progress on longstanding challenges in schools. The infusion of substantial, highly flexible pots of federal relief dollars created an opportunity to pilot new programs and initiatives. Many states and districts opted to invest…
Descriptors: Grants, Elementary Secondary Education, Emergency Programs, Pandemics
Meng Xiao – ProQuest LLC, 2023
This dissertation study presents a case study of one of the largest educational agencies in China. The study investigated the instructional effectiveness of the test prep program in Test of English as a Foreign Language (TOEFL). The purpose of this study is threefold: 1) to examine the educational effectiveness of a language proficiency test…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Second Language Instruction
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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
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Kersey, Scott N. – Journal of Computers in Mathematics and Science Teaching, 2019
Student perceptions on teaching and learning are investigated in a side-to-side comparison between traditional (closed, CER) non-free course materials and free open educational resources (OER). The primary resources being compared are textbook and automatically-graded web-based homework systems. The results are based on a 32 item survey given to…
Descriptors: College Students, Student Attitudes, College Mathematics, Calculus
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Sieverding, Maia; Krafft, Caroline; Elbadawy, Asmaa – Comparative Education Review, 2019
The rise of private tutoring globally has raised concerns over the hidden costs of "free" education systems and how these costs contribute to the persistence of inequality. We examine the drivers of tutoring at different levels of education in Egypt in an effort to understand why private tutoring has expanded despite policy efforts to…
Descriptors: Tutoring, Foreign Countries, Costs, Equal Education
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