Seattle, Washington
June 14, 2015
June 14, 2015
June 17, 2015
978-0-692-50180-1
2153-5965
NSF Grantees Poster Session
14
26.444.1 - 26.444.14
10.18260/p.23783
https://peer.asee.org/23783
671
Dr. Brock J. LaMeres is an Associate Professor in the electrical and computer engineering department at Montana State University. LaMeres teaches and conducts research in the area of digital systems and engineering education. LaMeres is currently studying the effectiveness of online delivery of engineering content including the impact of adaptive learning modules. LaMeres is also studying how different student demographics use e-learning content and how the material can be modified to provide a personalized learning experience. LaMeres received his Ph.D. from the University of Colorado, Boulder. He has published over 70 manuscripts and 2 textbooks in the area of digital systems and engineering education. LaMeres has also been granted 13 US patents in the area of digital signal propagation. LaMeres is a Senior Member of IEEE, a member of ASEE, and is a registered Professional Engineer in the States of Montana and Colorado. Prior to joining the MSU faculty, LaMeres worked as an R&D engineer for Agilent Technologies in Colorado Springs, CO where he designed electronic test equipment.
Deploying Adaptive Learning Environments to Overcome Background Deficiencies and Facilitate Mastery of Computer Engineering Content This paper describes the use of web-based adaptive learning modules toimprove student mastery of computer engineering concepts. Adaptive learning is anexciting pedagogical approach that can provide individual instruction to students bydynamically altering the difficulty of content based on an ongoing assessment of thestudent’s capability. This technique has recently become practical for large groups ofstudents due to advances in course management systems. The computer-basedadaptive material can guide a student through a set of incrementally difficult exercises.This has been shown to be nearly as effective as a live instructor guiding the studentthrough the material. What makes computer-administered adaptive learning appealingis that it can reach an expansive student body. This provides a broader reach than canbe achieved by instructor-administered guidance, which is limited by the instructor’savailability. Another potential impact of adaptive learning is tailoring the material to thedemographics of the students. This can be as simple as the wording used in theproblem or posing the problem as a relevant example of interest to a particular studentgroup. This approach has the potential to enhance a student’s perception of the value ofthe content. This leads to increased content retention and improves student motivationto excel in the course. This paper will discuss the work being conducted at MontanaState University in developing and deploying adaptive learning modules at a diverse setof universities to collect data on how different student groups use and are impacted bythe materials.
LaMeres, B. J. (2015, June), Deploying Adaptive Learning Environments to Overcome Background Deficiencies and Facilitate Mastery of Computer Engineering Content Paper presented at 2015 ASEE Annual Conference & Exposition, Seattle, Washington. 10.18260/p.23783
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