Dartmouth and MIT have developed educational behavior apps and wearable devices that collect contiguous streams of data from student users. Given the consent of the user, the app collects information about a student's physical activity, sleep patterns, and location to form conjectures about social and academic behavior. These apps have the…

While engaged in academic reading, a university provost converged on an idea to use a preferential approach to students' selection of college courses, similar to the recommendation systems used by "Netflix" and "Amazon." The result of this idea came to be known as "Degree Compass" and was implemented on the campus of…

Presents issues concerning return on investment (ROI) and its use in education and training. Discussion includes building a feasible ROI process; criteria for an effective ROI process; a practical model for ROI, which includes preliminary evaluation, data collection, isolating program effects, converting data to monetary values, tabulating program…

Describes the use of a microcomputer system (ECHO) which permits greater access to student thought processes. Initial piloting indicates that self-reports can be unobtrusively solicited from students during ongoing instruction. Research background, data collection approaches, and a description of the ECHO system are given. (MER)

Discusses level 3 evaluation from Donald Kirkpatrick's Four Level Evaluation Model (level: 1-reaction; 2-learning; 3-behavior; 4-results) to measure training program performance. Highlights include an evaluation planning matrix; increasing evaluation data accuracy and reliability; data collection method selection; designing data collection…