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Liu, Ran; Koedinger, Kenneth R. – Journal of Educational Data Mining, 2017
As the use of educational technology becomes more ubiquitous, an enormous amount of learning process data is being produced. Educational data mining seeks to analyze and model these data, with the ultimate goal of improving learning outcomes. The most firmly grounded and rigorous evaluation of an educational data mining discovery is whether it…
Descriptors: Educational Technology, Technology Uses in Education, Data Collection, Data Analysis
Lawrence, Arul A. S. – Online Submission, 2015
The XX IDEA annual conference has been focused and reflected on different ways and means of meeting various kinds of methodological challenges, new technologies and multi-media developments, newly emerging partnerships and collaboration between emerging sectors on one hand and between the institutions functioning with similar objectives and…
Descriptors: Foreign Countries, Open Education, Distance Education, Barriers
Austin Independent School District, TX. Office of Research and Evaluation. – 1982
The program for gifted and talented students in the Austin Independent School District consists of 126 programs in grades K-12 to develop skills and abilities in academic subjects, music, art, problem-solving, and coping with giftedness. The program has been in effect since 1975. The focus of the evaluation in 1981-82 is the identification of…
Descriptors: Academically Gifted, Cognitive Processes, Creativity, Data Collection
Kentucky State Dept. of Education, Frankfort. – 1970
The Kentucky state plan for the collection of data concerning the cognitive, affective and pscyhomotor needs of school children is discussed. The plan entails: (1) identification of the needs of learners to be served, (2) determination of the criticality of the learner needs that are identified by applying judgmental values, (3) establishment of…
Descriptors: Affective Behavior, Cognitive Processes, Data Collection, Educational Assessment