Mark J. Gierl

About

Mark J. Gierl has authored 89 papers that have received a total of 2.7k indexed citations. This includes 36 papers in Management Science and Operations Research, 31 papers in Artificial Intelligence and 25 papers in Education. The topics of these papers are Measurement Invariance in Structural Equation Modeling (35 papers), Intelligent Tutoring Systems and Adaptive Learning (15 papers) and Advanced Statistical Modeling Techniques (14 papers). Mark J. Gierl is often cited by papers focused on Measurement Invariance in Structural Equation Modeling (35 papers), Intelligent Tutoring Systems and Adaptive Learning (15 papers) and Advanced Statistical Modeling Techniques (14 papers) and collaborates with scholars based in Canada, United States and Qatar. Mark J. Gierl's co-authors include Hollis Lai, Jacqueline P. Leighton, Ying Cui, André De Champlain and Claire Touchie and has published in prestigious journals such as Review of Educational Research, Frontiers in Psychology and Medical Education.

In The Last Decade

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