The Michigan State University Course Materials Program: Packing Up Your Textbook Troubles with Course Packs

Predicting course outcomes with digital textbook usage data

Article history: Accepted 5 June 2015 Available online 11 June 2015 Digital textbook analytics are a new method of collecting student-generated data in order to build predictive models of student success. Previous research using self-report or laboratory measures of reading show that engagement with the textbook was related to student learning outcomes. We hypothesized that an engagement index ...

Meeting report: SMART timing--principles of single molecule techniques course at the University of Michigan 2014.

Four days after the announcement of the 2014 Nobel Prize in Chemistry for "the development of super-resolved fluorescence microscopy" based on single molecule detection, the Single Molecule Analysis in Real-Time (SMART) Center at the University of Michigan hosted a "Principles of Single Molecule Techniques 2014" course. Through a combination of plenary lectures and an Open House at the SMART Ce...

Replacing Lecture with Web-Based Course Materials

In a series of 5 experiments in 2000 and 2001, several hundred students at two different universities with three different professors and six different teaching assistants took a semester long course on causal and statistical reasoning in either traditional lecture/recitation or online/recitation format. In this paper we compare the pre-post test gains of these students, we identify features of...

Introduction to Variational Methods in Partial Differential Equations and Applications A Summer Course at Michigan State University

University Course Timetabling with Soft Constraints

An extension of constraint logic programming that allows for weighted partial satisfaction of soft constraints is described and applied to the development of an automated timetabling system for Purdue University. The soft constraint solver implemented in the proposed solution approach allows constraint propagation for hard constraints together with preference propagation for soft constraints. A...