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Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Bassano, Sharron Kay; Christison, Mary Ann – TESL Talk, 1982
Progressive format or sequencing of strategies in the conversation class is proposed as a solution to the problems of conversation grouping for foreign students. Structures and formats and sample activities are outlined for the six activity categories or strategies: restructuring, one-centered, unified group, dyad, small group, and large group.…
Descriptors: Communicative Competence (Languages), Conversational Language Courses, Difficulty Level, English (Second Language)
DELVIN, LAURENCE E.; LITCHFIELD, ANN – 1967
A PROFILE OF A TYPICAL STAFF-INFLUENCED RESIDENTIAL ACTIVITY IS CONSTRUCTED FROM DATA REPORTED IN THE PREVIOUS ISSUE OF CONTINUING EDUCATION REPORT, AND IMPLICATIONS ARE DISCUSSED. PROGRAMS HAVE BEEN IDENTIFIED AS INDEED RESIDENTIAL AND OF CONTINUING EDUCATION, PRIMARILY TO IMPROVE OCCUPATIONAL AND PROFESSIONAL COMPETENCE. WHILE MOST ACTIVITIES…
Descriptors: Agency Cooperation, College Faculty, Conferences, Cooperative Planning
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