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Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Cherney, Elaine E. – 1994
For those educators who work with college students either as teachers, advisors, or in learning centers, the construct of learning style can be a powerful tool in their interactions with students. Educators can sometimes tune in to students' styles by listening to the verbs the students use. An informal assessment of students' learning styles is…
Descriptors: Class Activities, Cognitive Processes, Cognitive Style, Evaluation Methods
American Coll. Testing Program, Iowa City, IA. – 1977
Two postsecondary institutions in Michigan, Macomb County Community College and Michigan State University, participated in a two-year program that attempted to implement and evaluate a set of procedures developed for measuring and mapping each student's educational cognitive style and using the resulting maps to individualize educational programs…
Descriptors: Cognitive Processes, Cognitive Style, College Instruction, Evaluation Methods
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection