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Utting, Ian; Cooper, Stephen; Kolling, Michael; Maloney, John; Resnick, Mitchel – ACM Transactions on Computing Education, 2010
This article distills a discussion about the goals, mechanisms, and effects of three environments which aim to support the acquisition and development of computing concepts (problem solving and programming) in pre-University and non-technical students: Alice, Greenfoot, and Scratch. The conversation started in a special session on the topic at the…
Descriptors: Computer Science Education, Computer Assisted Instruction, Problem Solving, Programming
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Cardenas-Claros, Monica S.; Gruba, Paul A. – CALICO Journal, 2010
Participatory design (PD), or the collaboration between software engineers and end users throughout the design process, may help improve CALL design practices. In this case study, four ESL learners, a software designer, and a language teacher created and evaluated a series of paper prototypes concerning help options in computer-based second…
Descriptors: Computer Software, Participative Decision Making, Second Language Learning, English (Second Language)
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Lin, Hao-Chiang Koong; Wang, Cheng-Hung; Chao, Ching-Ju; Chien, Ming-Kuan – Turkish Online Journal of Educational Technology - TOJET, 2012
Emotional expression in Artificial Intelligence has gained lots of attention in recent years, people applied its affective computing not only in enhancing and realizing the interaction between computers and human, it also makes computer more humane. In this study, emotional expressions were applied into intelligent tutoring system, where learners'…
Descriptors: Foreign Countries, Intelligent Tutoring Systems, Artificial Intelligence, Focus Groups
Marshall, J. Granville – TECHNOS, 2000
Discusses educational technology in general and then considers the drawbacks and possibilities of educational computer technologies as a subset. Suggests that the proper use of the computers needs to be addressed more than the mere fact of having computers. (LRW)
Descriptors: Computer Assisted Instruction, Educational Technology, Man Machine Systems
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Adams, W.; Reid, S.; LeMaster, R.; McKagan, S.; Perkins, K.; Dubson, M.; Wieman, C. – Journal of Interactive Learning Research, 2008
Interactive computer simulations with complex representations and sophisticated graphics are a relatively new addition to the classroom, and research in this area is limited. We have conducted over 200 individual student interviews during which the students described what they were thinking as they interacted with simulations. These interviews…
Descriptors: Computer Assisted Instruction, Physics, Educational Technology, Computer System Design
Pask, Gordon – 1969
Experiments focused on (a) how a subject directs his attention and explores the problem environment created by the task to be learned, and (b) how the subject's learning process can be facilitated by CAI systems. In all experiments, the subject interacted with an automaton responsible for controlling the experimental environment. The automaton was…
Descriptors: Computer Assisted Instruction, Learning, Man Machine Systems, Simulation
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Hicks, Bruce L.; Hyde, Daniel C. – Journal of Teacher Education, 1973
Descriptors: Audiovisual Instruction, Computer Assisted Instruction, Educational Media, Man Machine Systems
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Elnagar, Ashraf; Lulu, Leena – Computers & Education, 2007
We introduce an effective computer aided learning visual tool (CALVT) to teach graph-based applications. We present the robot motion planning problem as an example of such applications. The proposed tool can be used to simulate and/or further to implement practical systems in different areas of computer science such as graphics, computational…
Descriptors: Motion, Robotics, Graduate Students, Computer Science
Kopstein, Felix F.; Seidel, Robert J. – 1970
The computer's potential for education, and most particularly for instruction, is contingent on the development of a class of instructional decision models (formal instructional strategies) that interact with the student through appropriate peripheral equipment (man-machine interfaces). Computer hardware and software by themselves should not be…
Descriptors: Computer Assisted Instruction, Decision Making, Interaction, Man Machine Systems
Mizokawa, Donald T.; Levin, Joel – Educational Technology, 1988
Presents a set of guidelines for the display features and content of information that should be given to the learner in a computer-generated error message. Examples of common errors and suggested message displays are given. (8 references) (CLB)
Descriptors: Computer Assisted Instruction, Courseware, Guidelines, Interactive Video
Carr, Clay – Training, 1989
Knowledge-based expert systems used as job aids or job coaches can cut the amount of training time significantly and reduce training costs. (SK)
Descriptors: Adult Education, Computer Assisted Instruction, Expert Systems, Man Machine Systems
Weiss, Elaine – Performance and Instruction, 1994
Discusses how to design effective user interfaces for computer-based training (CBT) programs. Four types of interfaces are described: presentation, including consistency; conversation, including feedback and flexibility; navigation; and explanation, including online help. A job aid for evaluating CBT interfaces is included. (Contains 13…
Descriptors: Computer Assisted Instruction, Evaluation Methods, Feedback, Man Machine Systems
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Weber, Warren C. – Educational Technology, Research and Development, 1992
This survey elicited experts' perceptions of factors affecting development and use of interactive technologies. Responses from 196 respondents were categorized as hardware/technology, software/programs, acceptance/adoption, accessibility/ease of use, and instruction/learning/communication issues. Based on this categorization, a model of…
Descriptors: Computer Assisted Instruction, Man Machine Systems, Models, Surveys
Lucas, Leslie – Educational Technology, 1991
Discusses elements involved in the visual design of the computer-learner interface. Topics discussed include the need for consistency in screen layout; information representation, including accuracy in images and visual cuing strategies; and menu selection interfaces, or command representations, including their placement on the screen. (11…
Descriptors: Computer Assisted Instruction, Design Requirements, Man Machine Systems, Menu Driven Software
Stevens, Albert L.; Collins, Allan
This report describes the current version of the Why System, a script-based Socratic tutor which uses tutoring strategies formulated as production rules. The current system is capable of carrying on a dialogue about the factors influencing rainfall by presenting different cases to the student, asking for predictions, probing for relevant factors,…
Descriptors: Computational Linguistics, Computer Assisted Instruction, Computer Programs, Man Machine Systems
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