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Direct linkCarroll, Norine – ProQuest LLC, 2017
By the year 2025, 75% of the workforce will consist of Generation Y (Kim, 2017). With the major shift in the workforce, organizations must consider the different learning styles and expectations of the Y generation, as compared to the previous, dominant generations (Tulgan, 2009). In order to determine if there is a difference in short-term and…
Descriptors: Retention (Psychology), Generational Differences, Pretests Posttests, Computer Assisted Instruction
Peer reviewedTallon, 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
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
