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Lei, Wu; Qing, Fang; Zhou, Jin – International Journal of Distance Education Technologies, 2016
There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…
Descriptors: Causal Models, Attribution Theory, Correlation, Evaluation Methods
Kensington-Miller, Barbara; Novak, Julia; Evans, Tanya – International Journal of Mathematical Education in Science and Technology, 2016
This paper describes a case study of two pure mathematicians who flipped their lecture to teach matrix determinants in two large mathematics service courses (one at Stage I and the other at Stage II). The purpose of the study was to transform the passive lecture into an active learning opportunity and to introduce valuable mathematical skills,…
Descriptors: Blended Learning, Mathematics, Professional Personnel, Lecture Method
Hutchison, Cathleen – Performance and Instruction, 1990
Describes a process model that can be used for performance technology and discusses differences between it and an instructional technology process model. Five basic steps are examined: needs assessment/analysis; design; development; implementation; and evaluation. An instructional technology/performance technology process comparison matrix is also…
Descriptors: Comparative Analysis, Educational Technology, Instructional Design, Instructional Development
Moore, Julie; Knuth, Randy; Borse, Jennifer; Mitchell, Marlon – 1999
Two recent trends in education--increased technology and accountability--are driving efforts to define technology competencies and standards for teachers. The first lists of competencies from these efforts are just now being completed. While some of these competencies are linked to teacher certification and re-certification, others are developed…
Descriptors: Accountability, Benchmarking, Classification, Comparative Analysis

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