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Cocea, M.; Weibelzahl, S. – IEEE Transactions on Learning Technologies, 2011
Learning environments aim to deliver efficacious instruction, but rarely take into consideration the motivational factors involved in the learning process. However, motivational aspects like engagement play an important role in effective learning-engaged learners gain more. E-Learning systems could be improved by tracking students' disengagement…
Descriptors: Prediction, Electronic Learning, Online Courses, Delivery Systems
Interactive Computer Based Assessment Tasks: How Problem-Solving Process Data Can Inform Instruction
Zoanetti, Nathan – Australasian Journal of Educational Technology, 2010
This article presents key steps in the design and analysis of a computer based problem-solving assessment featuring interactive tasks. The purpose of the assessment is to support targeted instruction for students by diagnosing strengths and weaknesses at different stages of problem-solving. The first focus of this article is the task piloting…
Descriptors: Computer Assisted Testing, Computer Uses in Education, Problem Solving, Evaluation Methods
Rodriguez, Santiago; Zamorano, Juan; Rosales, Francisco; Dopico, Antonio Garcia; Pedraza, Jose Luis – Computers and Education, 2007
This paper describes a complete lab work management framework designed and developed in the authors' department to help teachers to manage the small projects that students are expected to complete as lab assignments during their graduate-level computer engineering studies. The paper focuses on an application example of the framework to a specific…
Descriptors: Data Processing, Program Design, Student Evaluation, Assignments
Buck, John A. – Performance and Instruction, 1981
Discusses issues faced by the Federal Aviation Administration (FAA) when designing large computer based training systems (CBTs), and offers a conceptual model for interpreting CBT issues. (MER)
Descriptors: Computer Assisted Instruction, Computer Managed Instruction, Data Processing, Electronic Technicians
Williams, Warren S.; And Others – Educational Technology, 1981
Describes relatively new computer software that can be used to maintain, analyze, and report large sets of educational data. The application of two of these packages to problems faced when manipulating educational data is demonstrated, and administrators are provided with information on the evaluation and selection of software products. (MER)
Descriptors: Computer Managed Instruction, Computer Oriented Programs, Computer Programs, Data Processing
Roblyer, M. D. – Florida Vocational Journal, 1980
The increased availability of computers is affecting education along two fronts. First, the vocational curriculum must meet the demand for trained data-processing personnel and for computer-related skills in other occupations. Second, three major tools (computer-assisted instruction, computer-managed instruction, and computer-assisted guidance)…
Descriptors: Computer Assisted Instruction, Computer Managed Instruction, Computer Science Education, Data Processing Occupations
Miller, Carol L.; Drager, Lester B. – NSPI Journal, 1979
Two examples of CBT which demonstrate unique design characteristics without gimmicks are described. The first is an example from Northern States Power Company (NSP), an electric and gas utility. The second details implementation of a language arts unit by the Minnesota Educational Computing Consortium in a public school seting. (JEG)
Descriptors: Computer Assisted Instruction, Computer Managed Instruction, Data Processing, Diagrams

Crovello, Theodore J. – American Biology Teacher, 1982
Discusses the use of computers for nine different tasks in biological education: information retrieval, data accumulation, data analysis, simulation and systems analysis, decision making, experimental control, course review, computer-managed instruction, and word processing. (PEB)
Descriptors: Biological Sciences, College Science, Computer Assisted Instruction, Computer Managed Instruction
Garson, G. David – Teaching Political Science, 1985
Future impacts of microcomputing on political science are discussed. Scenarios dealing with networking, data access, field research, course management, and simulations and artificial intelligence are described. (RM)
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Managed Instruction, Data Processing