NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Kaufmann, Esther; Budescu, David V. – Journal of Educational Measurement, 2020
The literature suggests that simple expert (mathematical) models can improve the quality of decisions, but people are not always eager to accept and endorse such models. We ran three online experiments to test the receptiveness to advice from computerized expert models. Middle- and high-school teachers (N = 435) evaluated student profiles that…
Descriptors: Mathematical Models, Computer Uses in Education, Artificial Intelligence, Expertise
Peer reviewed Peer reviewed
Direct linkDirect link
Olsen, Jennifer; Aleven, Vincent; Rummel, Nikol – Journal of Educational Measurement, 2017
Within educational data mining, many statistical models capture the learning of students working individually. However, not much work has been done to extend these statistical models of individual learning to a collaborative setting, despite the effectiveness of collaborative learning activities. We extend a widely used model (the additive factors…
Descriptors: Mathematical Models, Information Retrieval, Data Analysis, Educational Research
Peer reviewed Peer reviewed
Direct linkDirect link
Harik, Polina; Clauser, Brian E.; Grabovsky, Irina; Nungester, Ronald J.; Swanson, Dave; Nandakumar, Ratna – Journal of Educational Measurement, 2009
The present study examined the long-term usefulness of estimated parameters used to adjust the scores from a performance assessment to account for differences in rater stringency. Ratings from four components of the USMLE[R] Step 2 Clinical Skills Examination data were analyzed. A generalizability-theory framework was used to examine the extent to…
Descriptors: Generalizability Theory, Performance Based Assessment, Performance Tests, Clinical Experience
Peer reviewed Peer reviewed
Direct linkDirect link
Cahan, Sorel; Gamliel, Eyal – Journal of Educational Measurement, 2006
Despite its intuitive appeal and popularity, Thorndike's constant ratio (CR) model for unbiased selection is inherently inconsistent in "n"-free selection. Satisfaction of the condition for unbiased selection, when formulated in terms of success/acceptance probabilities, usually precludes satisfaction by the converse probabilities of…
Descriptors: Probability, Bias, Mathematical Concepts, Mathematical Models