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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
Godin, Louise – 1982
The research on which this study is based found that 50% of the errors in English of French-speaking students were due to interlingual causes and 50% had their source within the target language itself. The question of a correlation between the errors and the teaching method used is explored. Five methods are discussed and evaluated:…
Descriptors: Charts, English (Second Language), Error Analysis (Language), Error Patterns

Cohn, Cheryl L. – College Teaching, 1995
A classroom exercise to help college students of economics conceptualize, create, and learn from graphs is described. The technique is illustrated with an exercise concerning the concept of supply and demand in consumer markets. Classroom time required for the activity is small, and students become adept at manipulating models without anxiety.…
Descriptors: Active Learning, Classroom Techniques, College Instruction, Concept Formation

Strober, Myra H.; And Others – Journal of Economic Education, 1997
Replicates an earlier study that used videotapes to examine the types of errors made by novice economics students in graphic analysis of a simple supply-demand problem. Further explores the issue by improving the framework for analyzing errors and documenting some methods used by novice groups to correct errors. (MJP)
Descriptors: Content Analysis, Economics, Economics Education, Educational Media
Allison, Howard K., II – 1978
To assess the impact of various rating scale formats in rating student teachers, a Likert-type scale (Highly agree/slightly agree/neither/slightly disagree/highly disagree) was derived from the graphic scale currently used by the cooperating teachers and university supervisors. They rated the music student teachers on an eight-point scale from…
Descriptors: Analysis of Variance, Behavior Rating Scales, Comparative Testing, Cooperating Teachers