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Baker, Michael J.; Schwarz, Baruch B.; Ludvigsen, Sten R. – International Journal of Computer-Supported Collaborative Learning, 2021
We present a critical perspective on the current state of research on educational dialogues, within and without Computer-Supported Collaborative Learning environments, in order to propose research perspectives in the intersection of these two domains. Our main proposal is that in order to integrate different types of human or machine analyzed data…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Data Analysis, Man Machine Systems
James Lamb; Tim Fawns; Joe Noteboom; Jen Ross – Higher Education Research and Development, 2025
Ideas of space within higher education are changing, influenced by pedagogical innovation, emerging technologies, and the experiences of the COVID-19 pandemic. This is most obvious in the expansion of hybrid education, where teaching happens simultaneously both online and on the physical campus. Hybrid learning spaces emerge from dynamic,…
Descriptors: Foreign Countries, Graduate Students, College Faculty, Blended Learning
Isotani, Seiji; Reis, Helena M.; Alvares, Danilo; Brandão, Anarosa A. F.; Brandão, Leônidas O. – Interactive Learning Environments, 2018
Interactive or Dynamic Geometry System (DGS) is a tool that help to teach and learn geometry using a computer-based interactive environment. Traditionally, the interaction with DGS is based on keyboard and mouse events where the functionalities are accessed using a menu of icons. Nevertheless, recent findings suggest that such a traditional model…
Descriptors: Computer Assisted Instruction, Mathematics Instruction, Geometry, Dictionaries
Sabourin, Jennifer L.; Mott, Bradford W.; Lester, James C. – International Educational Data Mining Society, 2012
Self-regulated learning behaviors such as goal setting and monitoring have been found to be crucial to students' success in computer-based learning environments. Consequently, understanding students' self-regulated learning behavior has been the subject of increasing interest. Unfortunately, monitoring these behaviors in real-time has proven…
Descriptors: Computer Assisted Instruction, Goal Orientation, Prediction, Classification
Yacci, Michael – Educational Technology, 2000
Provides a structural definition of interactivity in instruction, with the goal of describing and delimiting a broad and general process. Examines the four major attributes to the concept of interactivity, and defines four additional variables that arise through the structural study of interaction. Outlines five common patterns that deal with…
Descriptors: Computer Assisted Instruction, Computer Mediated Communication, Distance Education, Instructional Design
Strommen, Erik – 1993
Because of the lack of error-free, on-task performance by young children, cognitive modeling has not generally been considered an appropriate technique for characterizing computer use by young children. It is argued that cognitive modeling can be a useful strategy for organizing data on children's performance when the domain being studied is…
Descriptors: Computer Assisted Instruction, Data Analysis, Difficulty Level, Man Machine Systems
Jacobson, Michael J.; Spiro, Rand J. – 1991
Addressing the need for a framework to distinguish the conditions under which different types of educational computing environments are productive, this paper proposes a cognitively based Contextual Analysis Framework consisting of two primary elements: (1) conceptual characteristics of the knowledge domain being learned, including the complexity…
Descriptors: Computer Assisted Instruction, Computers, Educational Environment, Elementary Secondary Education
Logan, Shirley W. – 1990
Concern that computers in the classroom might alienate learners and depersonalize learning raises questions about the impact of computers on writing instruction. A study examined relationships in one school's computer writing lab among instructor, student tutors, and students through what was called the "computer lab matrix of…
Descriptors: Computer Assisted Instruction, Higher Education, Man Machine Systems, Peer Teaching

Hereford, James; Winn, William – Journal of Educational Computing Research, 1994
Reviews research on uses of computer sound and suggests how sound might be used effectively by instructional and interface designers. Topics include principles of interface design; the perception of sound; earcons, both symbolic and iconic; sound in data analysis; sound in virtual environments; and guidelines for using sound. (70 references) (LRW)
Descriptors: Acoustics, Auditory Perception, Computer Assisted Instruction, Data Analysis
Meadow, Charles T.; And Others – 1981
The realization that the facilities available for the retrieval of scientific and technical information were being underutilized resulted in a project undertaken by the Drexel University School of Library and Information Science to develop a computer intermediary capable of assisting users of scientific and technical information in the performance…
Descriptors: Computer Assisted Instruction, Computer Programs, Databases, Higher Education
Hon, David C. – Training and Development Journal, 1981
Discusses why computer assisted instruction did not work in many classrooms, how older people have fought the new technology, and why implementation of computer technology as part of training has been slow. Also examines uses of the videodisc and microcomputer and the trainer's role. (CT)
Descriptors: Computer Assisted Instruction, Computer Science, Man Machine Systems, Microcomputers
De Laurentiis, Emiliano – Educational Technology, 1980
Clarifies often misconstrued distinctions with regard to microcomputers, minicomputers, and maxicomputers. Criteria for educational use of microcomputers are examined, including its potential for language and peripheral expansion, and its communication capabilities. (MER)
Descriptors: Computer Assisted Instruction, Computer Oriented Programs, Computers, Educational Innovation

Chute, Alan G.; Sayers, Pamela K.; Gardner, Richard P. – New Directions for Teaching and Learning, 1997
Distance learning networks make training and advanced education possible when time and budgetary constraints make face-to-face training difficult. To make distance learning work, instructors and providers must harness the potential of synchronous and asynchronous communication technologies to create powerful, learner-centered networks. Support…
Descriptors: Computer Assisted Instruction, Computer Networks, Distance Education, Educational Environment
Atkinson, Robert K.; Mayer, Richard E.; Merrill, Mary Margaret – Contemporary Educational Psychology, 2005
Consistent with social agency theory, we hypothesized that learners who studied a set of worked-out examples involving proportional reasoning narrated by an animated agent with a human voice would perform better on near and far transfer tests and rate the speaker more positively compared to learners who studied the same set of examples narrated by…
Descriptors: Hypothesis Testing, Multimedia Instruction, High School Students, Cues
Towne, Douglas M.; And Others – 1988
This report describes the Intelligent Maintenance Training System (IMTS), a set of software tools for composing and delivering simulation-based technical training. The goal in developing IMTS was to generate instructional interactions from device models composed of instances of generic objects. Problem selection in IMTS relies on the use of a…
Descriptors: Computer Assisted Instruction, Computer Simulation, Computer Software, Equipment Maintenance