Data Mining in Online Professional Development Program Evaluation: An Exploratory Case Study

This case study explored the potential applications of data mining in the educational program evaluation of online professional development workshops for pre K-12 teachers. Multiple data mining analyses were implemented in combination with traditional evaluation instruments and student outcomes to determine learner engagement and more clearly understand the relationship between logged activities and learner experiences. Data analysis focused on the following aspects: 1) Shared learning characteristics, 2) frequent learning paths, 3) engagement prediction, 4) expectation prediction, 5) workshop satisfaction prediction, and 6) instructor quality prediction. Results indicated that interaction and engagement were important factors in learning outcomes for this workshop. In addition, participants who had online teaching experience could be expected to have a higher engagement level but prior online learning experience did NOT show a similar relationship

Bulletin and Announcements, 1978-1979

This Bulletin and Handbook of Policies, 1978-1979 reflects the current policies of the University of New Mexico School of Law and is intended as a source of information for questions concerning the Rules and Regulations of the Law School and other matters pertaining to a students law school career.\u27https://digitalrepository.unm.edu/law_admin_bulletins/1004/thumbnail.jp

Law handbook

1999 handbook for the faculty of La

Prospective Student Information Booklet (1981-83)

Booklet containing curriculum and course information for future law students.https://ir.law.fsu.edu/prospective-student/1015/thumbnail.jp