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Board # 80 : Measuring the Impact of Adaptive Learning Modules in Digital Logic Courses

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2017 ASEE Annual Conference & Exposition


Columbus, Ohio

Publication Date

June 24, 2017

Start Date

June 24, 2017

End Date

June 28, 2017

Conference Session

NSF Grantees Poster Session

Tagged Topic

NSF Grantees Poster Session

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Paper Authors


Brock J. LaMeres Montana State University

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Dr. Brock J. LaMeres is the Director of the Montana Engineering Education Research Center (MEERC) and an Associate Professor in the Department of Electrical & Computer Engineering at Montana State University. LaMeres teaches and conducts research in the area of computer engineering. LaMeres is currently studying the effectiveness of online delivery of engineering content with emphasis on how the material can be modified to provide a personalized learning experience. LaMeres is also researching strategies to improve student engagement and how they can be used to improve diversity within engineering. LaMeres received his Ph.D. from the University of Colorado, Boulder. He has published over 80 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 member of ASEE, a Senior Member of IEEE, and 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.

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Carolyn Plumb Montana State University

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Carolyn Plumb is the recently retired Director of Educational Innovation and Strategic Projects in the College of Engineering at Montana State University (MSU). Plumb has been involved in engineering education and program evaluation for over 25 years, and she continues to work on externally funded projects relating to engineering education.

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This paper presents the current status of a research project investigating the use of a novel web-based adaptive learning system to improve student mastery of digital logic concepts while considering the demographics of the individual student. Adaptive learning is a pedagogical approach that dynamically alters the difficulty of content based on an ongoing assessment of the student’s capability. This technique is becoming more popular with the advancement of web-based learning solutions and increased student enrollment. Using this type of e-learning environment has the potential to address background deficiencies of students who lack the necessary prerequisite skills coming out of high school. This three-year project is currently in its second year through funding from the National Science Foundation’s Improving Undergraduate STEM Education (IUSE). During the first year of this project our team developed a set of course materials and assessment instruments for the area of digital logic. This is content found in all accredited undergraduate electrical and computer engineering curriculums. In year two, our team used the material in a variety of course delivery formats including live, online to on-campus students, online to off-campus students, and online to remote community college students. Data was collected on student performance while also tracking student demographics such as gender, ethnicity, GPA, credits earned, ACT scores, and transfer credits. The data was analyzed to determine if there were any learning outcomes that had significantly lower student performance overall, and if there were any specific student sub-groups that performed lower on any of the outcomes. In year three of the project our team is deploying adaptive learning modules on targeted outcomes to measure their impact. This paper will present the course materials developed during year one, the data and the baseline results collected during year two, and the initial results of the adaptive learning modules. This paper will benefit engineering educators teaching logic circuits/design and are interested in using an online learning environment to either supplement or replace in-class instruction.

LaMeres, B. J., & Plumb, C. (2017, June), Board # 80 : Measuring the Impact of Adaptive Learning Modules in Digital Logic Courses Paper presented at 2017 ASEE Annual Conference & Exposition, Columbus, Ohio. 10.18260/1-2--27930

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