Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 2 |
| Since 2006 (last 20 years) | 2 |
Descriptor
Author
| Beemer, Joshua | 1 |
| Bohonak, Andrew J. | 1 |
| Boyer, Kristy Elizabeth, Ed. | 1 |
| Fan, Juanjuan | 1 |
| Frazee, James P. | 1 |
| Levine, Richard A. | 1 |
| Slawski, Carl | 1 |
| Spoon, Kelly | 1 |
| Stronach, Jeanne | 1 |
| Yudelson, Michael, Ed. | 1 |
Publication Type
| Collected Works - Proceedings | 1 |
| Journal Articles | 1 |
| Reports - Research | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Higher Education | 2 |
| Adult Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
| California (San Diego) | 1 |
| Germany | 1 |
| Uruguay | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkBeemer, Joshua; Spoon, Kelly; Fan, Juanjuan; Stronach, Jeanne; Frazee, James P.; Bohonak, Andrew J.; Levine, Richard A. – Journal of Statistics Education, 2018
Estimating the efficacy of different instructional modalities, techniques, and interventions is challenging because teaching style covaries with instructor, and the typical student only takes a course once. We introduce the individualized treatment effect (ITE) from analyses of personalized medicine as a means to quantify individual student…
Descriptors: Learning Modalities, Academic Achievement, Intervention, Educational Research
Download full textBoyer, 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
Slawski, Carl – 1976
This paper: (1) examines the problems of teacher evaluation by college students; (2) underlines the difficulties of indiscriminant acceptance of raw data without considering the factors of teaching style, learning modalities, and educational goals; and (3) urges that evaluative instruments be used primarily for diagnostic purposes, for the…
Descriptors: College Students, Data Analysis, Educational Environment, Evaluation Criteria
