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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
Peer reviewedPrice, Gary E.; And Others – Clearing House, 1981
Thirteen New York City third graders and 72 sixth graders completed a state reading test and the Learning Style Inventory (LSI) by Dunn, Dunn, and Price. Eleven LSI variables accounted for significant differences between high and low achievers in reading. Variables include preferred learning environment, learning modalities, and personality…
Descriptors: Classroom Environment, Cognitive Style, Elementary Education, High Achievement
Hargett, Melissa Q.; And Others – 1994
Although research over the past 20 years has examined the dynamics of student learning, most initial studies focused on how scholastic aptitude tests and teacher rating scales predicted academic success. This study attempts to determine the relationship between scholastic aptitude and three approaches to learning: (1) presage; (2) process; and (3)…
Descriptors: Classroom Environment, Cognitive Style, College Students, Higher Education
Ediger, Marlow – 1979
To help students develop needed skills in listening, teachers need to (1) encourage improved listening through interesting learning activities, (2) involve students in presenting ideas as well as listening to content, (3) vary kinds of learning experiences, (4) provide direct training in listening skills, (5) recognize differences in students'…
Descriptors: Classroom Communication, Classroom Environment, Educational Objectives, Elementary Secondary Education


