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Showing 1 to 15 of 18 results Save | Export
Vincent Aleven; Jori Blankestijn; LuEttaMae Lawrence; Tomohiro Nagashima; Niels Taatgen – Grantee Submission, 2022
Past research has yielded ample knowledge regarding the design of analytics-based tools for teachers and has found beneficial effects of several tools on teaching and learning. Yet there is relatively little knowledge regarding the design of tools that support teachers when a class of students uses AI-based tutoring software for self-paced…
Descriptors: Educational Technology, Artificial Intelligence, Problem Solving, Intelligent Tutoring Systems
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Kole A. Norberg; Husni Almoubayyed; Logan De Ley; April Murphy; Kyle Weldon; Steve Ritter – Grantee Submission, 2024
Large language models (LLMs) offer an opportunity to make large-scale changes to educational content that would otherwise be too costly to implement. The work here highlights how LLMs (in particular GPT-4) can be prompted to revise educational math content ready for large scale deployment in real-world learning environments. We tested the ability…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Educational Change
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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
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Balaban, Igor; Filipovic, Danijel; Peras, Marko – International Association for Development of the Information Society, 2019
This paper deals with a problem of digital competence acquisition and certification. In order to overcome the problem of still inadequate number of digitally competent students and the tools that merely focus on skills acquisition, this paper proposes the CRISS platform which is a unique cloud-based digital learning solution, based on the most…
Descriptors: Computer Software, Integrated Learning Systems, Technological Literacy, Teaching Methods
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Khosrow-Pour, Mehdi, Ed. – IGI Global, 2014
The rise of technology within educational settings has allowed for a substantial shift in the way in which educators teach learners of all ages. In order to implement these new learning tools, school administrators and teachers alike must seek new research outlining the latest innovations in the field. "Educational Technology Use and Design…
Descriptors: Educational Technology, Technology Uses in Education, Adult Learning, Blended Learning
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Stankov, Slavomir; Rosic, Marko; Zitko, Branko; Grubisic, Ani – Computers & Education, 2008
Special classes of asynchronous e-learning systems are the intelligent tutoring systems which represent an advanced learning and teaching environment adaptable to individual student's characteristics. Authoring shells have an environment that enables development of the intelligent tutoring systems. In this paper we present, in entirety, for the…
Descriptors: Elementary Secondary Education, Intelligent Tutoring Systems, Artificial Intelligence, Tutoring
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Askar, Petek; Altun, Arif – Educational Technology & Society, 2009
A number of studies emphasized the need to capture learners' interaction patterns in order to personalize their learning process as they study through learning objects. In education context, learning materials are designed based on pre-determined expectations and learners are evaluated to what extent they master these expectations. Representation…
Descriptors: Feedback (Response), Elementary Secondary Education, Thinking Skills, Expectation
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Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
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Kelly, Declan – Journal of Educational Multimedia and Hypermedia, 2008
Within the field of technology enhanced learning, adaptive educational systems offer an advanced form of learning environment that attempts to meet the needs of different students. Such systems capture and represent, for each student, various characteristics such as knowledge and traits in an individual learner model. Subsequently, using the…
Descriptors: Multiple Intelligences, Computer Assisted Instruction, Educational Environment, Learner Controlled Instruction
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Hackett, Terrence C. – Reading Online, 2001
Describes what the author means by "making the student the star" by relating several unforgettable moments from his tutoring experience. Describes how these moments helped him understand what separates meaningful, effective learning environments from ineffective, frivolous ones. Concludes by describing some interactive design techniques he has…
Descriptors: Computer Software, Computer Software Development, Educational Environment, Elementary Secondary Education
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Halff, Henry M. – Educational Leadership, 1986
Surveys artificial intelligence and the development of computer-based tutors and speculates on the future of artificial intelligence in education. Includes discussion of the definitions of knowledge, expert systems (computer systems that solve tough technical problems), intelligent tutoring systems (ITS), and specific ITSs such as GUIDON, MYCIN,…
Descriptors: Artificial Intelligence, Cognitive Processes, Computer Software, Computers
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Ware, William B.; Galassi, John P. – Professional School Counseling, 2006
Correlational data and regression analysis provide the school counselor with a method to describe growth in achievement test scores from elementary to high school. Using Microsoft Excel, this article shows the reader in a step-by-step manner how to describe this growth pattern and how to evaluate interventions that attempt to enhance achievement…
Descriptors: Ethnic Groups, Elementary Secondary Education, School Counselors, Achievement Tests
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Wepner, Shelley B. – Journal of Reading, Writing, and Learning Disabilities International, 1987
Computers can be used to teach reading to reading-disabled students in three modes: the tutor mode, tool mode, and tutee mode. The computer's ability to improve motivation and to provide versatility is examined. A vignette is presented of computer use in the instructional program of a reading-disabled nine-year-old. (Author/JDD)
Descriptors: Case Studies, Computer Assisted Instruction, Computer Software, Elementary Secondary Education
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Bork, Alfred – Journal of Science Education and Technology, 2001
Visualizes the future of learning and considers current and new paradigms concerning technology and learning. Recommends high interactive tutorial learning for very large numbers of students in distance learning situations. (Contains 17 references.) (Author/YDS)
Descriptors: Computer Software, Computer Uses in Education, Distance Education, Elementary Secondary Education
Strickland, Dorothy S.; And Others – 1987
Noting that the proliferation of computers in the schools requires teachers to know the best ways to use them, this book shows how the computer can be used in a reading and language arts curriculum as tool, tutor, and tutee with currently available software. Chapter one defines the reading process in terms of its relationship to background…
Descriptors: Computer Assisted Instruction, Computer Managed Instruction, Computer Software, Copyrights
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