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State-of-the-Art-Matrix Analysis for Usability of Learning Management Systems

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2016 ASEE Annual Conference & Exposition


New Orleans, Louisiana

Publication Date

June 26, 2016

Start Date

June 26, 2016

End Date

August 28, 2016





Conference Session

Teaching and Advising Tools Using Computers and Smart Devices

Tagged Division

Computers in Education

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Paper Authors


Burchan Aydin Texas A&M University - Commerce

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Burchan Aydin is an Assistant Professor of Engineering and Technology at Texas A&M University-Commerce. He received his Ph.D. in Industrial Engineering from Texas Tech University, Lubbock, TX, MAA from the University of the Incarnate Word, San Antonio, TX, and BS of Industrial Engineering degree from the Middle East Technical University, Ankara, Turkey. His major interest areas include software usability, user centered design, human factors, performance measurement, sustainability, and technology management.

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Muge Mukaddes Darwish Texas Tech University

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Muge Mukaddes Darwish received her Ph.D. in interdisciplinary engineering and master's of science from Texas Tech University in 1998 and 1991 respectively. She received her graduate diploma in Bari Italy in 1982. She received her bachelor's of science and advance engineering degree in 1978 Ataturk University in Turkey. She worked as Chief Engineer for the Minister of Agriculture and Urban Development from 1978 to 1981. She is currently Associate Professor at Texas Tech University in the Construction Engineering & Engineering Technology Department.

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Emre Selvi Jacksonville University

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Emre Selvi is an Assistant Professor of Mechanical Engineering at Jacksonville University. He received his B.S. and M.S. from Middle East Technical University and Ph.D. from Texas Tech University. He worked as a Design and Production Engineer for Aselsan Inc. for four years and as a Faculty at Muskingum University for six years. His research interests are high pressure material science and engineering design, especially as it relate to educational environments.

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State-of-the-Art-Matrix Analysis for Usability of Learning Management Systems

This is a research study to explore trends, gaps, and issues in the literature of the usability of Learning Management Systems (LMS). The authors utilized the State-of-the-Art Matrix analysis, which is a research method that has been used extensively in the last decade. It is a systematic evaluation of existing research by using several statistical methods. Pareto analysis and Histograms are part of this analysis. The analysis revealed several gaps: (1) engineering students have not been the main focus of research in any studies, (2) there is no research that compares usability of LMS between different academic disciplines, (3) there is no modeling effort for understanding if engineering students and instructors need different LMS design than other disciplines, (4) primary framework development for evaluating LMS has declined, (5) discount usability methods (heuristics) have been mostly preferred for the evaluation of LMS ignoring effectiveness and efficiency performance measures related to LMS usage, (6) there are very limited studies incorporating usability design with instructional and accessibility design, (7) there are very limited studies investigating LMS usability with regards to occupational training, (8) there are many researchers who mentioned the significance of research on usability of mobile e-learning platforms. The results of this study established a basis for future work and the authors will study LMS usability for engineering students and instructors by future empirical studies.

Aydin, B., & Darwish, M. M., & Selvi, E. (2016, June), State-of-the-Art-Matrix Analysis for Usability of Learning Management Systems Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.25864

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