TY - JOUR
T1 - Development, Implementation, Refining and Revising of Adaptive Platform Lessons for an Engineering Course
AU - Kaw, Autar
AU - Yalcin, Ali
AU - Gomes, Rafael Braga
AU - Serrano, Luis Javier
AU - Lou, Yingyan
AU - Scott, Andrew
AU - Clark, Renee M.
N1 - Funding Information:
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 Carnegie Foundation for Advancement of Teaching. His primary scholarly interests are in 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 1,000,000+ page views, 2,000,000+ views of the YouTube lectures, and 90,000+ 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 150 refereed technical papers, and his opinion editorials have appeared in the Tampa Bay Times, the Tampa Tribune, and the Chronicle Vitae.
Funding Information:
Ali Yalcin, is an Associate Professor of Industrial and Management Systems in the College of Engineering at the University of South Florida. He is the co-founder of Collaborative for Research & Education in Aging and Technology. Previously he was part of the leadership team who founded the Patel College of Global Sustainability at USF. 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.
Funding Information:
This material is based upon work supported partially by the National Science Foundation under Grant Number 2013271 and the Research for Undergraduates Program in the College of Engineering at the University of South Florida (USF). The authors would like to thank Colm Howlin, Sean O'Shea, and John Healy of RealizeIT for their help during the development and implementation of the adaptive lessons. We also thank Dr. Sarah Zappe of Zappe and Cutler Educational Consulting for her feedback on the manuscript. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
Publisher Copyright:
© American Society for Engineering Education, 2022
PY - 2022/8/23
Y1 - 2022/8/23
N2 - One way to provide active learning is through the flipped classroom. However, finding suitable pre-class learning activities to improve student preparation and the subsequent classroom environment, including student engagement, can challenge the flipped modality. To address this challenge, adaptive learning lessons were developed for pre-class learning for a course in Numerical Methods. The lessons were then used as part of a research study to determine their cognitive and affective impacts. Thoughtful design and implementation of the adaptive lessons were completed prior to beginning the study. This paper discusses the development, implementation, refining, and revising of the adaptive learning platform (ALP) lessons for pre-class learning in a Numerical Methods flipped course. The paper also walks through the content of a typical lesson and shows the type of behavioral data collected by the adaptive learning platform by illustrating the interactions of three students of differing performance levels with a single lesson. In conjunction with the student's course grade, these interactions will be used in Fall 2022 to provide advice to struggling students about effective behaviors. The first author and two other instructors who teach Numerical Methods collaborated on developing the adaptive lessons for the whole course. The work began in Fall 2020 by enumerating the various chapters and breaking each one into 30 individual objectives (assignments), which were then divided into individual nodes (lessons). Each lesson includes five sections (introduction, learning objectives, video lectures, textbook content, assessment). The three instructors met twice a month to discuss the content that provides the basis for each of the lessons. The main discussion of the meetings centered on what a student would be expected to learn before coming to class, choosing appropriate content, agreeing on prerequisites, and choosing and making new assessment questions. Lessons were then created using a commercially available platform called RealizeIT. The content was tested by learning assistants and instructors. The adaptive lessons were completed in December 2020. The adaptive lessons were tested for implementation in Spring 2021 at the first author's university. Questions asked by students during office hours, on the LMS discussion board, and via emails while doing the lessons were used to update ALP content, clarify questions, and revise hints offered by the platform. The paper discusses the process of development, implementation, revision, and refinement of adaptive learning platform lessons for pre-class learning for a numerical methods course that is taught in the flipped modality. Three test cases are discussed to show how students interact with a typical ALP lesson.
AB - One way to provide active learning is through the flipped classroom. However, finding suitable pre-class learning activities to improve student preparation and the subsequent classroom environment, including student engagement, can challenge the flipped modality. To address this challenge, adaptive learning lessons were developed for pre-class learning for a course in Numerical Methods. The lessons were then used as part of a research study to determine their cognitive and affective impacts. Thoughtful design and implementation of the adaptive lessons were completed prior to beginning the study. This paper discusses the development, implementation, refining, and revising of the adaptive learning platform (ALP) lessons for pre-class learning in a Numerical Methods flipped course. The paper also walks through the content of a typical lesson and shows the type of behavioral data collected by the adaptive learning platform by illustrating the interactions of three students of differing performance levels with a single lesson. In conjunction with the student's course grade, these interactions will be used in Fall 2022 to provide advice to struggling students about effective behaviors. The first author and two other instructors who teach Numerical Methods collaborated on developing the adaptive lessons for the whole course. The work began in Fall 2020 by enumerating the various chapters and breaking each one into 30 individual objectives (assignments), which were then divided into individual nodes (lessons). Each lesson includes five sections (introduction, learning objectives, video lectures, textbook content, assessment). The three instructors met twice a month to discuss the content that provides the basis for each of the lessons. The main discussion of the meetings centered on what a student would be expected to learn before coming to class, choosing appropriate content, agreeing on prerequisites, and choosing and making new assessment questions. Lessons were then created using a commercially available platform called RealizeIT. The content was tested by learning assistants and instructors. The adaptive lessons were completed in December 2020. The adaptive lessons were tested for implementation in Spring 2021 at the first author's university. Questions asked by students during office hours, on the LMS discussion board, and via emails while doing the lessons were used to update ALP content, clarify questions, and revise hints offered by the platform. The paper discusses the process of development, implementation, revision, and refinement of adaptive learning platform lessons for pre-class learning for a numerical methods course that is taught in the flipped modality. Three test cases are discussed to show how students interact with a typical ALP lesson.
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M3 - Conference article
AN - SCOPUS:85138241834
JO - ASEE Annual Conference and Exposition, Conference Proceedings
JF - ASEE Annual Conference and Exposition, Conference Proceedings
SN - 2153-5965
T2 - 129th ASEE Annual Conference and Exposition: Excellence Through Diversity, ASEE 2022
Y2 - 26 June 2022 through 29 June 2022
ER -