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Showing 1 to 15 of 17 results Save | Export
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Steffen Steinert; Lars Krupp; Karina E. Avila; Anke S. Janssen; Verena Ruf; David Dzsotjan; Christian De Schryver; Jakob Karolus; Stefan Ruzika; Karen Joisten; Paul Lukowicz; Jochen Kuhn; Norbert Wehn; Stefan Küchemann – Education and Information Technologies, 2025
As distance learning becomes increasingly important and artificial intelligence tools continue to advance, automated systems for individual learning have attracted significant attention. However, the scarcity of open-source online tools that are capable of providing personalized feedback has restricted the widespread implementation of…
Descriptors: Higher Education, Open Educational Resources, STEM Education, Feedback (Response)
Samarakou, Maria; Fylladitakis, Emmanouil D.; Prentakis, Pantelis; Athineos, Spyros – International Association for Development of the Information Society, 2014
In laboratory courses, the assessment of exercises and assignments typically is treated as a simple, quantifiable approach. This approach however rarely includes qualitative factors, especially if the grading is being automatically performed by the system, and provides little to no feedback for the students to reflect on their work. The role of…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Evaluation Methods, Engineering Education
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Grubisic, Ani; Stankov, Slavomir; Rosic, Marko; Zitko, Branko – Computers & Education, 2009
We believe that every effectiveness evaluation should be replicated at least in order to verify the original results and to indicate evaluated e-learning system's advantages or disadvantages. This paper presents the methodology for conducting controlled experiment replication, as well as, results of a controlled experiment and an internal…
Descriptors: Control Groups, Research Design, Computer Assisted Instruction, Artificial Intelligence
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Murray, Tom – Journal of Artificial Intelligence in Education, 1993
Discusses evaluation methods applicable to exploratory research areas, provides an overview of qualitative and formative methods for exploratory research on intelligent tutoring systems (ITS) and describes an exploratory study in ITS knowledge acquisition which involved working with three educators to build an ITS for high school physics.…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Evaluation Methods, Formative Evaluation
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Chang, Wen-Chih; Yang, Hsuan-Che; Shih, Timothy K.; Chao, Louis R. – International Journal of Distance Education Technologies, 2009
E-learning provides a convenient and efficient way for learning. Formative assessment not only guides student in instruction and learning, diagnose skill or knowledge gaps, but also measures progress and evaluation. An efficient and convenient e-learning formative assessment system is the key character for e-learning. However, most e-learning…
Descriptors: Electronic Learning, Student Evaluation, Formative Evaluation, Educational Objectives
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Shute, Valerie J.; Regian, J. Wesley – Journal of Artificial Intelligence in Education, 1993
Discussion of intelligent tutoring systems (ITS) focuses on what is required to evaluate the efficacy of an ITS. Research and development aspects of ITS are examined; and seven main principles that may be used to design, plan, and implement an effective ITS evaluation are described. (Contains 40 references.) (LRW)
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Design Requirements, Evaluation Methods
Spensley, Fiona; Elsom-Cook, Mark – 1989
This document outlines the strategies that are used for teaching and assessment in Dominie, an intelligent tutoring system designed to enable the user to operate a computer interface independently. Eight interaction modes are described in detail: four teaching strategies (cognitive apprenticeship, successive refinement, discovery learning, and…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer System Design, Educational Strategies
Lewis, R. – 1985
This report contains excerpts from papers and summaries of discussions and program actions carried out during a series of seminars held to establish research priorities under the Information Technology and Education Programme (ITE) in the United Kingdom. The seminar on "Information Technology" (IT) included Kenneth Ruthven's…
Descriptors: Artificial Intelligence, Authoring Aids (Programing), Computer Assisted Instruction, Computer Literacy
O'Neil, Harold F., Jr.; Baker, Eva L. – 1987
Among opportunities to advance the state of the art of intelligent computer-assisted instruction (ICAI) are the evaluation of ICAI systems and the use of the underlying technology in ICAI systems to develop tests. Each issue is addressed via its theoretical context, key constructs, appropriate references to the literature, methodological aspects,…
Descriptors: Academic Achievement, Artificial Intelligence, Computer Assisted Instruction, Computer Software
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Seidel, Robert J.; Park, Ok-Choon – Journal of Educational Computing Research, 1994
Examines changes which have occurred in the development and evaluation of intelligent tutoring systems (ITSs), speculates on future directions, and proposes a conceptual model for the development of ITSs. Topics discussed include the effectiveness of ITSs; the need for multidisciplinary efforts; and internal and external evaluation. (Contains 78…
Descriptors: Artificial Intelligence, Comparative Analysis, Computer Assisted Instruction, Evaluation Methods
Baker, Eva L. – 1986
Some special problems associated with evaluating intelligent computer-assisted instruction (ICAI) programs are addressed. This paper intends to describe alternative approaches to the assessment and improvement of such applications and to provide examples of efforts undertaken and shortfalls. Issues discussed stem chiefly from the technical demands…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Courseware, Criterion Referenced Tests
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Duchastel, Philippe – Instructional Science, 1992
Examines the processes involved in building instructional systems that are based on artificial intelligence and hypermedia technologies. Traditional instructional systems design methodology is discussed; design issues including system architecture and learning strategies are addressed; and a new methodology for building knowledge-based…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Software Development, Computer System Design
Boody, Charles G., Ed. – Journal of Computer-Based Instruction, 1986
Six articles on music and computing address development of computer-based music technology, computer assisted instruction (CAI) in ear training and music fundamentals, a machine-independent data structure for musical pitch relationship representation, touch tablet input device in a melodic dictation CAI game, and systematic evaluation strategies…
Descriptors: Algorithms, Artificial Intelligence, Computer Assisted Instruction, Computer Software
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Catapano, Susan M. – Journal of Early Education and Family Review, 2001
A case study is presented of a second-grader whose parents receive a report that her reading and mathematics achievement is far below grade level, based on a newly implemented computer-based assessment and intervention program. Discussion concerns her previous grades, assessment results, the constructivist theory-based curriculum, and legal…
Descriptors: Artificial Intelligence, Case Studies, Computer Assisted Instruction, Computer Assisted Testing
Shotsberger, Paul G. – 1994
The National Council of Teachers of Mathematics (1991) has identified the use of computers as a necessary teaching tool for enhancing mathematical discourse in schools. One possible vehicle of technological change in mathematics classrooms is the Intelligent Tutoring System (ITS), an artificially intelligent computer-based tutor. This paper…
Descriptors: Artificial Intelligence, Cognitive Processes, Computer Assisted Instruction, Computer Uses in Education
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