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A Learning Management System-Based Early Warning System for Academic Advising in Undergraduate Engineering
| Content Provider | Semantic Scholar |
|---|---|
| Author | Krumm, Andrew E. Waddington, Richard Joseph Teasley, Stephanie D. Lonn, Steven |
| Copyright Year | 2014 |
| Abstract | This chapter describes a design-based research project that developed an early warning system for an undergraduate engineering mentoring program. Using near real-time data from a university’s learning management system, we provided academic advisors with timely and targeted data on students’ academic progress. We discuss the development of the early warning system and detail how academic advisors used it. Our findings point to the value of providing academic advisors with performance data that can be used to direct students to appropriate sources of support. |
| Starting Page | 103 |
| Ending Page | 119 |
| Page Count | 17 |
| File Format | PDF HTM / HTML |
| DOI | 10.1007/978-1-4614-3305-7_6 |
| Alternate Webpage(s) | https://deepblue.lib.umich.edu/bitstream/handle/2027.42/107974/Krumm_etal_2014_LA.pdf?sequence=1 |
| Alternate Webpage(s) | https://doi.org/10.1007/978-1-4614-3305-7_6 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
