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Tallon, Bill; And Others – School Science Review, 1983
Discusses use of microcomputers for structuring, communicating, and disseminating information under the categories of instructional use (computer-assisted instruction), emancipation (number crunching), revelatory (discovery/simulation), and conjectural (hypothesis testing). Also discusses use of PROLOG language for modeling ecosystems and testing…
Descriptors: Artificial Intelligence, Biology, Computer Assisted Instruction, Computer Managed Instruction
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Debuse, J.; Lawley, M.; Shibl, R. – Journal of Information Systems Education, 2007
Providing detailed, constructive and helpful feedback is an important contribution to effective student learning. Quality assurance is also required to ensure consistency across all students and reduce error rates. However, with increasing workloads and student numbers these goals are becoming more difficult to achieve. An automated feedback…
Descriptors: Feedback (Response), Assignments, Quality Control, Student Attitudes
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries