Conference Session

Disciplinary Engineering Education Research – Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Nisha Raghunath M.S., Oregon State University; Karl R. Haapala, Oregon State University; Christopher A. Sanchez, Oregon State University

Tagged Divisions

Educational Research and Methods Division (ERM)

Mechanical Electrical Hardware Software Systems Systems Integration ApplicationsFundamentals Hardware Systems Systems CPActuator motor Electro- AC/DC conversion, ANN coding Digital implementation Image samplingmodeling pneumatics circuits, and motors of control laws and pre-processing CPCantilever beam Pneumatics and A/D and D/A conversion Arduino and C/C++ Digital implementation Motor dynamicsmodeling hydraulics (e.g., programming basics of feedback control identification

Conference Session

Pedagogy and Instructional Practices

Collection

2023 ASEE Annual Conference & Exposition

Authors

Rohini N. Abhyankar, Penn State University, State College; Sarah E. Zappe, Penn State University; Stephanie Cutler, Penn State University

Tagged Divisions

Educational Research and Methods Division (ERM)

Council of Engineering Deans, Engineers for the Future: Addressing the Supply and Quality of Australian Engineering Graduates for the 21st Century, Australian Council of Engineering Deans, New South Wales, Australia, pp. 1–144, 2008. Accessed on 13 June 2016 from http://www.engineersaustralia.org.au/sites/default/files/shado/ACED/Engineers%20for%20the%20Future.pdf[3] National Academy of Engineering, “The Engineer of 2020: Visions of Engineering” in the New Century, National Academies Press, Washington, DC, 2004.[4] L. H. Jamieson and J. R. Lohmann, “Innovation with Impact: Creating a Culture for Scholarly and Systematic Innovation in Engineering Education,” American Society for Engineering Education, Washington

Conference Session

Educational Research and Methods Division (ERM) Technical Session 24

Collection

2024 ASEE Annual Conference & Exposition

Authors

Bradley J. Sottile, The Pennsylvania State University

Tagged Divisions

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

Exploration of Written and Team Communication

Collection

2023 ASEE Annual Conference & Exposition

Authors

Aneet Dharmavaram Narendranath, Michigan Technological University; Zachary Thelander; Sirena C. Hargrove-Leak, Elon University

Tagged Divisions

Educational Research and Methods Division (ERM)

applied to comparing sports vs science discourse in newsgroup conversations,we can compare the metadiscursive evolution of different groups of students in any givenepoch or across epochs (longitudinal) supported by rigorous parametric or non-parametricstatistical analysis in the future.We hypothesize that MDM in undergraduate (engineering) writing can indicate thepresence or emergence of an entrepreneurial mindset, metacognition, or achievement ofthreshold skills, or entrepreneurial mindset. Therefore we are pursuing an automatedMDM identification computational platform.Figure 3: Discourse analysis platform with the metadiscourse analysis page ac-tive. The X-axis ticks were synthetically generated using the Python package, faker(https

Conference Session

Design Thinking and Student Design Teams

Collection

2023 ASEE Annual Conference & Exposition

Authors

Nourhan E. Elatky, Rowan University; Juan M. Cruz, Rowan University; Smitesh Bakrania, Rowan University

Tagged Divisions

Educational Research and Methods Division (ERM)

perceived empowerment of students.REFERENCES[1] J. V. 1. FARR JVF et al., "Using a Systematic Engineering Design Process to Conduct Undergraduate Engineering Management Capstone Projects," J Eng Educ, vol. 90, (2), pp. 193-197, 2001.[2] D. M. Grant, A. D. Malloy, M. C. Murphy, J. Foreman, and R. A. Robinson, "Innovations in Practice Editor: Anthony Scime Real-World Project: Integrating the Classroom, External Business Partnerships, and Professional Organizations," vol. 9. 2010.[3] R.E. Bruhn and J. Camp, "Capstone course creates useful business products and corporate- ready students," vol. 36, June 2004.[4] J. R. Goldberg, V. Kariapa, K. Kaiser and G. Corliss, "Benefits of Industry Involvement in Multidisciplinary Capstone Design

Conference Session

Educational Research and Methods Division (ERM) Technical Session 14

Collection

2024 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

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

Collection

2024 ASEE Annual Conference & Exposition

Authors

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

Tagged Topics

Diversity

Tagged Divisions

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

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kyle Luthy, Wake Forest University; Jessica Koehler, Wake Forest University; William N. Crowe, Wake Forest University

Tagged Divisions

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

Collection

2024 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

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

Conference Session

Reviewing Methods for Educational Research

Collection

2023 ASEE Annual Conference & Exposition

Authors

Khondhaker Al Momin, University of Oklahoma; Javeed Kittur, University of Oklahoma; Tahrima Rouf, University of Oklahoma; Arif Mohaimin Sadri, University of Oklahoma

Tagged Divisions

Educational Research and Methods Division (ERM)

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. Javeed Kittur, University of Oklahoma Dr. Kittur is an Assistant Professor in the Gallogly College of Engineering at The University of Okla- homa. He completed his Ph.D. in Engineering Education Systems and Design program from Arizona State University, 2022. He received a bachelor’s degree in Electrical and Electronics Engineering and a Master’s in Power Systems from India in