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Costagliola, Gennaro; Fuccella, Vittorio – International Journal of Distance Education Technologies, 2009
To correctly evaluate learners' knowledge, it is important to administer tests composed of good quality question items. By the term "quality" we intend the potential of an item in effectively discriminating between skilled and untrained students and in obtaining tutor's desired difficulty level. This article presents a rule-based e-testing system…
Descriptors: Difficulty Level, Test Items, Computer Assisted Testing, Item Response Theory
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Bangert-Drowns, Robert L.; Pyke, Curtis – Educational Technology Research and Development, 2002
Discusses students' learning engagement and describes a study that investigated whether teachers could accurately judge elementary school students' learning engagement with educational software. Explains teacher's use of a seven-level taxonomy to rate the frequency of different forms of engagement among 42 students interacting with different types…
Descriptors: Classification, Computer Assisted Instruction, Courseware, Elementary Education
Carrier, Carol A.; Sales, Gregory C. – Educational Technology, 1987
Describes the inadequacies of the current software for computer-based instruction, and presents a framework of instructional components to guide the design of such software. A taxonomy of design considerations is then discussed, including instructional context, strategies, and technical capabilities that can be used to enhance instruction. (4…
Descriptors: Classification, Computer Assisted Instruction, Courseware, Instructional Effectiveness
Tessmer, Kathleen M. – 1984
This survey of the literature provides a review and synthesis of research findings and current thought on the use of microcomputers by school children. Modes of learning and taxonomies of learning are described, and the results of recent surveys indicating the number of computers in schools and the amount of access by students are reported.…
Descriptors: Classification, Computer Assisted Instruction, Computer Literacy, Courseware
Spector, J. Michael; And Others – Educational Technology, 1992
Presents a taxonomy describing various uses of artificial intelligence techniques in automated instructional development systems. Instructional systems development is discussed in relation to the design of computer-based instructional courseware; two systems being developed at the Air Force Armstrong Laboratory are reviewed; and further research…
Descriptors: Artificial Intelligence, Authoring Aids (Programing), Classification, Computer Assisted Instruction
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Fuller, Kenneth – Science and Children, 1986
Offers an approach for teaching a unit on classification that combines various software programs with traditional science teaching methods. Provides procedural directives for the activities and explains the objectives of each exercise. (ML)
Descriptors: Biology, Classification, Computer Assisted Instruction, Courseware
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Garlick, G. Donald; Garlick, Benjamin J. – Journal of Geological Education, 1987
Discusses the need to take into account the effects of arrested fractional crystallization in the petrographic classification of volcanic rocks containing plagioclase phenocrysts. Describes the development and use of a computer program to accomplish this task graphically. (TW)
Descriptors: Classification, College Science, Computer Assisted Instruction, Computer Graphics
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Adler, Debora L. – Computers & Education, 1994
Describes "Getting Clean with Herkimer," a software package designed to teach elementary special education students to classify personal grooming objects. A study compared this software program with another one, including results of pretests and posttests and computer use and attitude measures. (32 references) (LRW)
Descriptors: Classification, Comparative Analysis, Computer Assisted Instruction, Computer Attitudes
Spector, J. Michael; And Others – 1992
Many researchers are attempting to develop automated instructional development systems to guide subject matter experts through the lengthy and difficult process of courseware development. Because the targeted users often lack instructional design expertise, a great deal of emphasis has been placed on the use of artificial intelligence (AI) to…
Descriptors: Artificial Intelligence, Authoring Aids (Programing), Classification, Computer Assisted Instruction
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Peled, Zimra; And Others – Journal of Educational Computing Research, 1992
Proposes a taxonomy to aid decision makers in selecting computer software consistent with their educational values regarding the nature of instruction and the use of information technology, based on beliefs about human development and learning. Characteristics of instruction, properties of software, and the congruence between them are discussed.…
Descriptors: Algorithms, Classification, Computer Assisted Instruction, Computer Software
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Wishart, Jocelyn; Canter, David – Computers and Education, 1988
Reports the development of a classification system for microcomputer-based software according to the depth and type of involvement of the user with the software. Three studies are discussed that used the facet approach, multivariate statistical procedures, and questionnaires to investigate types of involvement produced by computer programs. (18…
Descriptors: Classification, Computer Assisted Instruction, Computer Games, Courseware
Baumgartner, Peter; Payr, Sabine – 1998
This paper presents a model that was developed for the categorization and evaluation of stand-alone interactive media and that now is used to contribute to a more detailed and specific educational discussion of Internet use. The paper begins with a review of the foundations on which the model is built, including software as subject, tool, or…
Descriptors: Classification, Comparative Analysis, Computer Assisted Instruction, Computer Oriented Programs
Carrick, Bruce – 1987
Forty-four computer programs specifically designed to help students learn English as a second language (ESL) are listed. The programs chosen focus on a linguistic activity, are appropriate for any proficiency level, are considered appropriate for students of high school and adult age (excluding college-level foreign students), and have been…
Descriptors: Adolescents, Adult Education, Adult Students, Class Activities
Ogata, Hiroaki; Yano, Yoneo – 1998
This paper describes Coconuts (Concurrent Collaborative Learning Environment Supported by Awareness), a proposed module of Sharlok (Sharing, Linking and Looking-for Knowledge), an open-ended and collaborative learning environment that integrates a knowledge building tool with a collaborative interface tool. Coconuts was developed in order to…
Descriptors: Classification, Computer Assisted Instruction, Computer Interfaces, Computer Mediated Communication
Herrington, Jan; Oliver, Ron – 1998
This paper describes a qualitative study that examined students' use of higher-order thinking as they use an interactive multimedia program based on a situated learning framework. The learning environment incorporated the following characteristics of a situated learning model: an authentic context; multiple perspectives; expert performances;…
Descriptors: Classification, Cognitive Processes, Computer Assisted Instruction, Content Analysis