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- Teaching and Learning in Online Environments
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- 2020 ASEE Virtual Annual Conference Content Access
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Javeed Kittur, Arizona State University; Jennifer M. Bekki, Arizona State University; Samantha Ruth Brunhaver, Arizona State University
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Educational Research and Methods
concrete example for other engineering educationresearchers of how Learning Management System (LMS) interaction data from onlineundergraduate engineering courses can be prepared for analysis. We provide the rationale anddetails involved in choices related to data preparation, feature creation, and feature selection aspart of a larger National Science Foundation-funded study dedicated to developing a theoreticalmodel for online undergraduate engineering student persistence. LMS interaction data providesdetails about students’ navigations to and submissions of different course elements includingquizzes, assignments, discussion forums, wiki pages, attachments, modules, the syllabus, thegradebook, and course announcements. The sample dataset presented
- Conference Session
- Teaching and Learning in Online Environments
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- 2020 ASEE Virtual Annual Conference Content Access
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Prabodh Panindre, New York University; Richard S. Thorsen, New York University
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Diversity
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Educational Research and Methods
levels at the beginning of the proposed experiment. The instructors ensured that the subject matter covered in both learning methods was identical. The online and classroom section of all courses had the same syllabus, textbook, instructor, homework assignments, exams and week by week schedule. Online learning modules for each chapter were made available to the students in-sync with the weekly material prescribed in the syllabus for each course. In the onsite version of each course, the instructor assured keeping pace with the syllabus. The pre-recorded online lectures were not made available to the students in the on-site sections of the courses. Thus the students had the same amount of time to work on homework and
- Conference Session
- Approaches to Encouraging Student Engagement
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- 2020 ASEE Virtual Annual Conference Content Access
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Panagiotis Apostolellis, University of Virginia; Sitong Wang, University of Cincinnati
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Educational Research and Methods
Developer at a cultural institution in his home country, Greece (2000-2011). c American Society for Engineering Education, 2020 A Student Engagement Evaluation Methodology Inspired from Usability Engineering for Extracting Course Design RequirementsAbstractMeasuring student engagement inside the classroom and developing techniques forimproving it has been traditionally very challenging for educators. This research paperdescribes a student engagement evaluation model that combined data from three sources: in-class observations using the Behavioral Engagement Related to Instruction (BERI) protocol,one-to-one student interviews, and anonymous online surveys. We tested this model on ahigher-level elective
- Conference Session
- Approaches to Curriculum and Policy
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- 2020 ASEE Virtual Annual Conference Content Access
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Afroditi Vennie Filippas, Virginia Commonwealth University; Rebecca Segal, Virginia Commonwealth University ; Alen Docef, Virginia Commonwealth University
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Educational Research and Methods
host a“Fishbowl” activity [1],[6], where they discussed the results with the engineering faculty andgained more detailed information on what the baseline course content should be. Mathsubsequently cut a few sections from the syllabus and they meet with the partner disciplinesevery semester to discuss progress, further specify the emphasis on applications and what thatmeans in the context of a math course aimed at students who have not had substantive training inengineering yet.Math-Engineering Summit, Fall 2017: In the fall of 2017, the Math department hosted ameeting with engineering, where all engineering faculty were invited to attend informationsessions as well as observe the first implementation of discipline-specific applications in
- Conference Session
- Perspectives and Evaluation of Engineering Design Education
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- 2020 ASEE Virtual Annual Conference Content Access
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Sara Willner-Giwerc, Tufts University; Kristen B. Wendell, Tufts University; Chris Buergin Rogers, Tufts University; Ethan E. Danahy, Tufts University; Isabella Stuopis, Tufts University
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Diversity
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Educational Research and Methods
Computing in Engineering is a course required for all 200 engineering students ata research university in Massachusetts. In the last few years, the course underwent a transitionfrom a large, lecture-based course taught by one professor to several smaller sections taught bydifferent professors, each using their own instructional technique. In the spring of 2019, fourprofessors taught the Introduction to Computing Course using three different instructionalmethods. All courses had the same syllabus goals, outlined in Table 1 below. Table 1. Course Goals (as defined in the 2019 syllabi) Overall Goal Key ComponentsFluency in a Master basic Know common Use good code Plan
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- Alternatives to Traditional Assessment
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- 2020 ASEE Virtual Annual Conference Content Access
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Lauren Singelmann, North Dakota State University; Enrique Alvarez Vazquez, North Dakota State University; Ellen M. Swartz, North Dakota State University; Mary Pearson, North Dakota State University; Ryan Striker P.E., North Dakota State University
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Educational Research and Methods
high external value through the form of a patent,publication, or peer-reviewed poster presentation. Future work includes collecting data fromfuture iterations of the course, expanding data collection to other universities that will beimplementing this system, and utilizing educational data mining techniques to explore patterns insuccessful/unsuccessful learning objectives. Although more work needs to be done to understandthe best ways to support students while also giving them academic freedom, this work is a step inthe right direction to empower students to innovate and grow as engineers.References [1] ABET, “Criteria for accrediting engineering programs.” [Online]. Available: https://www.abet.org/accreditation/accreditation-criteria
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- Student Approaches to Problem Solving
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- 2020 ASEE Virtual Annual Conference Content Access
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Ada Hurst, University of Waterloo; Gregory Litster, University of Waterloo; Christopher Rennick, University of Waterloo
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Educational Research and Methods
early in the activity necessary for later deliverables? 12. For each day: What was/were the checkpoint(s) or deliverable(s) that day? ✓ 13. For each Deliverable: Was feedback provided to students that could be used ✓ during the event? 14. Who was available to assist students during the activity? ✓ 15. How were the students evaluated? ✓ Extrinsic motivation 16. Does the activity appear in at least one course syllabus in the term? ✓ 17. Approximately