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lectureLess: A Mobile Cloud Computing Approach to Near Real-time Teaching Assessment

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Conference

2014 ASEE Annual Conference & Exposition

Location

Indianapolis, Indiana

Publication Date

June 15, 2014

Start Date

June 15, 2014

End Date

June 18, 2014

ISSN

2153-5965

Conference Session

Systems Engineering Division Technical Session 4

Tagged Division

Systems Engineering

Page Count

16

Page Numbers

24.856.1 - 24.856.16

DOI

10.18260/1-2--20747

Permanent URL

https://peer.asee.org/20747

Download Count

199

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Paper Authors

biography

Steven J Henderson U.S. Military Academy

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Lieutenant Colonel Steve Henderson is an Assistant Professor and Director, Systems Engineering/Operations Research Program at the United States Military Academy in West Point, NY. Steve holds a Ph.D. in Computer Science and has held a variety of Systems Engineering positions in academia and within the US Army.

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biography

Kenneth McDonald P.E. Dept of Systems Engineering, United States Military Academy, West Point

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Dr. McDonald is currently an Associate Professor of Engineering Management at the United States Military Academy at West Point and the Associate Director of the Center for Nation Reconstruction and Capacity Development. He has authored and co-authored over 20 technical publications to include book chapters and refereed publications on infrastructure, capacity development geotechnical engineering, engineering management, and value modeling.

Dr. McDonald earned his BS degree from the United States Military Academy in Civil Engineering (ABET), a MBA-Information Systems (Oklahoma City University); MS degrees in City and Regional Planning, Geography (Western Kentucky University) and Environmental Engineering (Missouri University of Science and Technology); and a PhD in Geological Engineering (Missouri School of Mines – MS&T). He is a registered Civil Engineer in the states of Virginia and Wyoming; he is a Certified Planner by the American Institute of Certified Planners (AICP); and a registered Project Management Professional (PMP) with the Project Management Institute (PMI). Dr. McDonald is also a member of Gamma Theta Upsilon and Phi Kappa Phi. His research and consulting interests are in capacity development analysis and decision analysis as applied to infrastructure and other complex enterprises especially in the arena of nation reconstruction and capacity development. He teaches classes in systems engineering, engineering economics, and project management. He has worked in Iraq, Afghanistan, Africa, and the Marshall Islands on a wide variety of economic development and assessment projects.

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Abstract

lectureLess: A Mobile Cloud Computing Approach to Near Real-time Teaching AssessmentIn this paper, we introduce lectureLess, a mobile cloud computing architecture designed tocollect and manage near real-time teaching assessment data reported by students. The goal oflectureLess is to leverage the ubiquitous nature of student mobile devices to monitor and collectself-reported learning trends as they occur during a typical classroom session. The systemincludes a mobile device application for the learner and a set of rich internet applications for theteacher. The mobile device collects real-time feedback from students who use the mobileapplication to report attainment of three learning metrics: comprehension, motivation, andinteraction. Assessment data is pushed into a cloud repository where it can be analyzed andprojected to the teacher in near real-time or archived for analysis after class.We share our experiences with lectureLess as employed in two systems engineering coursestaught by two different instructors. We include aggregate trends in overall student reporting anddiscuss the viability of mobile devices for near real-time assessment. We also includepreliminary results from a formal study linking self-reported trends in student learning toteaching techniques. In this study, we analyze assessment data from lectureLess and identifyinflection points in the reported levels of comprehension, motivation and interaction. Theseinflection points are matched to corresponding video highlights of the assessed classroomsession. A third party observer then independently evaluates the video highlights and makestheir own assessment about the students’ attainment of the evaluated learning dimensions. Theobserver also analyzes the video highlights for strengths and weaknesses in the teacher’steaching style during the identified inflection points in student learning.

Henderson, S. J., & McDonald, K. (2014, June), lectureLess: A Mobile Cloud Computing Approach to Near Real-time Teaching Assessment Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. 10.18260/1-2--20747

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