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- Educational Research and Methods Division (ERM) Technical Session 24
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- 2024 ASEE Annual Conference & Exposition
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Bradley J. Sottile, The Pennsylvania State University
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Educational Research and Methods Division (ERM)
. “Theliteral meaning of ‘skew’ is a bias, dragging, or distortion towards some particular value, group,subject, or direction” (Shanmugam & Chattamvelli, 2015, p. 89). If a sample is skewed to theleft, the responses cluster on the higher side, with the median higher than the mean; if a sample isskewed to the right, the responses cluster on the lower side, with the median lower than the mean(Ott & Longnecker, 2010). Skew values of zero indicate symmetric distributions, positive skewvalues indicate distribution tails that point to the right, and negative skew values indicatedistribution tails that point to the left (Minitab, 2023). On the other hand, “kurtosis measures therelative concentration or amassment of probability mass toward the center
- Conference Session
- Educational Research and Methods Division (ERM) Technical Session 14
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- 2024 ASEE Annual Conference & Exposition
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Sierra Outerbridge, University of Central Florida; Michelle Taub, University of Central Florida; Marino Nader, University of Central Florida; Sudeshna Pal, University of Central Florida; Ricardo Zaurin, University of Central Florida; Hyoung Jin Cho, University of Central Florida
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Educational Research and Methods Division (ERM)
learning strategies, as well as their achievement goalorientation. As the AGQ-R is a measure that has four constructs that are not mutually exclusive,if they score high in one category, that does not automatically indicate that they will score low onanother. Therefore, by conducting a cluster analysis, we will be able to identify whether cleargroups emerge to investigate the relationship between student’s reported 4 achievement goalorientation scores and metacognitive self-regulation in the classroom.After standardizing the variables via Z-Scores in SPSS, we started with hierarchical clusteringusing Ward’s method to determine the change in agglomeration coefficients (AC). The ACsindicated a 3- to 5-cluster solution would be appropriate. Based on
- Conference Session
- Educational Research and Methods Division (ERM) Technical Session 2
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- 2024 ASEE Annual Conference & Exposition
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Asif Mohaisin Sadri, International Islamic University, Malaysia; Arif Mohaimin Sadri, University of Oklahoma; Khondhaker Al Momin, University of Oklahoma; Javeed Kittur, University of Oklahoma; Tahrima Rouf, University of Oklahoma
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Diversity
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Educational Research and Methods Division (ERM)
the Department of Civil Engineering at Daffodil International University in Dhaka, Bangladesh. He holds a Bachelor of Science (B.Sc.) and a Master of Science (M.Sc.) degree in civil engineering from the Bangladesh University of Engineering and Technology (BUET). Currently, he is pursuing a Doctor of Philosophy (Ph.D.) in Civil Engineering at the University of Oklahoma (OU) in Norman, USA. In addition to his academic pursuits, he also serves as a graduate research assistant at OU. His research interests encompass diverse areas such as traffic incident analysis and prevention, traffic flow theory, autonomous connected electric shared (ACES) vehicles, big data analytics, network science, natural hazards, machine
- Conference Session
- Educational Research and Methods Division (ERM) Technical Session 5
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- 2024 ASEE Annual Conference & Exposition
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Kyle Luthy, Wake Forest University; Jessica Koehler, Wake Forest University; William N. Crowe, Wake Forest University
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Educational Research and Methods Division (ERM)
. K. Nuhfer, “4 The Knowledge Survey: A Tool for All Reasons,” Improve Acad. J. Educ. Dev., vol. 21, 2003, doi: http://dx.doi.org/10.3998/tia.17063888.0021.006.[2] N. Bowers, M. Brandon, and C. D. Hill, “The Use of a Knowledge Survey as an Indicator of Student Learning in an Introductory Biology Course,” Cell Biol. Educ., vol. 4, no. 4, pp. 311–322, 2005, doi: 10.1187/cbe.04-11-0056.[3] J. Clauss and K. Geedey, “Knowledge Surveys: Students Ability to Self- Assess,” J. Scholarsh. Teach. Learn., vol. 10, no. 2, pp. 14–24, Jun. 2010.[4] K. Wirth and D. Perkins, “Knowledge Surveys: An Indispensable Course Design and Assessment Tool,” Jan. 2005.[5] S. M. A. Ghaly, “Indirect Evaluation of Program Educational Objectives and Student
- Conference Session
- Educational Research and Methods Division (ERM) Technical Session 1
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- 2024 ASEE Annual Conference & Exposition
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Arianna Gabriella Tobias, University of Oklahoma; Javeed Kittur, University of Oklahoma; Khondhaker Al Momin, University of Oklahoma; Tahrima Rouf, University of Oklahoma; Arif Mohaimin Sadri, University of Oklahoma
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Educational Research and Methods Division (ERM)
; Technology (BUET). He is pursuing a Doctor of Philosophy (Ph.D.) in Transportation Engineering at the University of Oklahoma (OU) in Norman, USA. Alongside his academic pursuits, he also serves as a Graduate Research Assistant at OU. His research interests encompass diverse areas such as Traffic Incident Analysis & Prevention, Traffic Flow Theory, Autonomous Connected Electric, Shared (ACES) vehicles, Big Data Analytics, Network Science, Natural Hazards, Machine Learning, and System Optimization.Dr. Tahrima Rouf, University of Oklahoma Dr. Tahrima Rouf is a visiting assistant professor at the Stephenson School of Biomedical Engineering (SBME) at the University of Oklahoma (OU). She received her bachelor’s degree in