2024 ASEE Annual Conference & Exposition

Board 324: Is Adaptive Learning for Pre-Class Preparation Impactful in a Flipped STEM Classroom?

Presented at NSF Grantees Poster Session

Adaptive learning supports online learning by providing individualized learning paths, assessing students in real time, and providing instant feedback or suggestions using AI algorithms. As part of a three-year NSF-funded study, the project team implemented adaptive learning in a flipped numerical methods course for pre-class preparation, using multiple previous semesters of flipped classroom data as the benchmark. Assessment data from 330 students was collected at three diverse engineering schools using a final exam (i.e., for direct knowledge assessment) and the College and University Classroom Environment Inventory (CUCEI) for student perspectives. Although some differences in the direct assessment measures with the use of the adaptive lessons were seen based on the particular school, the overall effects with the adaptive lessons were small, negative, and non-significant. The classroom environment results were more favorable for adaptive learning, with four of the seven environmental dimensions having notable positive effect sizes. In this article, we present information on the development and implementation of adaptive lessons in the RealizeIT adaptive platform as well as assessment outcomes by school and for the schools combined.

Authors

Dr. Renee M Clark University of Pittsburgh [biography]

Renee Clark is Associate Professor of Industrial Engineering, Data Engineer for the Swanson School, and Director of Assessment for the Engineering Education Research Center (EERC). She uses data analytics to study techniques and approaches in engineering education, with a focus on active learning techniques and the professional formation of engineers. Current NSF-funded research includes the use of adaptive learning in the flipped classroom and systematic reflection and metacognitive activities in the mechanical engineering classroom. Dr. Clark teaches Statistical Testing for industrial engineering undergraduates. She also serves as Associate Editor for Advances in Engineering Education. She has 30 years of experience as an engineer and IT analyst in industry and academia. She completed her post-doctoral studies in engineering education at the University of Pittsburgh.
Prof. Autar Kaw http://orcid.org/0000-0002-3976-6375 University of South Florida [biography]

Autar Kaw is a professor of mechanical engineering at the University of South Florida. He is a recipient of the 2012 U.S. Professor of the Year Award (doctoral and research universities) from the Council for Advancement and Support of Education and the Carnegie Foundation for Advancement of Teaching. His primary scholarly interests are engineering education research, adaptive, blended, and flipped learning, open courseware development, composite materials mechanics, and higher education's state and future. His work in these areas has been funded by the National Science Foundation, Air Force Office of Scientific Research, Florida Department of Transportation, and Wright Patterson Air Force Base. Funded by National Science Foundation, under his leadership, he and his colleagues from around the nation have developed, implemented, refined, and assessed online resources for open courseware in Numerical Methods (http://nm.MathForCollege.com). This courseware annually receives 1M+ page views, 1.6M+ views of the YouTube lectures, and 90K+ visitors to the "numerical methods guy" blog. This body of work has also been used to measure the impact of the flipped, blended, and adaptive settings on how well engineering students learn content, develop group-work skills, and perceive their learning environment. He has written more than 115 refereed technical papers, and his opinion editorials have appeared in the Tampa Bay Times, the Tampa Tribune, and the Chronicle Vitae.
Dr. Andrew Scott Alabama A&M University [biography]

Andrew Scott has been a faculty member with the Department of Electrical Engineering and Computer Science at Alabama A&M University, Huntsville, since 2002. He has a strong background in high-performance scientific computing, including algorithms and numerical analyses on parallel and distributed systems. He has expertise in the following areas: Field Programmable Gate Arrays for reconfigurable computing applications, software development for heterogeneous computing environments, domain decomposition, process mapping and data structuring techniques for distributed platforms, and finite element analysis. He holds both BS and MS degrees in mechanical/aerospace engineering from the University of Missouri, Columbia, and PhD in computer science and engineering from the University of Missouri, Kansas City.
Dr. Saurav Kumar Arizona State University [biography]

Dr. Kumar teaches at ASU's School of Sustainable Engineering and Built Environment. He is interested in teaching computation-oriented courses to budding Civil and Environmental Engineers.
Dr. Ali Yalcin http://orcid.org/0000-0002-9543-0681 Montana State University, Bozeman [biography]

Ali Yalcin, is currently an Associate Professor of Industrial and Management Systems in the College of Engineering at the Montana State University.

He is the co-founder of Collaborative for Research & Education in Aging and Technology and was part of the leadership team who founded the Patel College of Global Sustainability at the University of South Florida.

His research interests include Data Analytics, Ambient Intelligence, Internet of Things, Time-series Data Mining and Analytics Applications in Healthcare. His research has been funded by federal and state agencies, and private industry.

He has taught courses in the areas of systems modeling, analysis and simulation, information systems, predictive analytics and dynamic systems. He also co-authored, Design of Industrial Information Systems, by Elsevier named the Joint Publishers textbook of the year.

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