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the course. Figure 1. Sample of a dashboard from Dynamics at the end of a semester. The mastery objectives are shown in the lower right portion of the dashboard.You can tell a lot about the student by looking at the dashboard. This student was reluctant to participatein the activities called Q&C and MA Self-Assessment and missed a few classes near the end of thesemester. The student mastered 12 of 16 objectives (note that H.1 is considered close enough in ourscheme). It appears that the student had some trouble finishing the module assessments because objectiveJ is the very last step in all problems. The student was well above the class in mastering conservation ofmomentum, likely because they worked hard on the associated
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complete their tasks slowly. Tokens(then and now) are not allowed to exit PR until three (or more) reviews have been completed.Under the assignment model, five reviewers were assigned. If three of a token’s assignedreviewers fail to complete their review, the token is stuck. Several students expressed frustrationwith tokens in this state.Keep It FunA personal PR statistics dashboard was added. This feature seeks to enhance intrinsic motivationfor PRs by applying gamification. Instructors can give a star to a student’s PR. Students earn athumbs-up when a token is revised in response to their PR comment. Students also see the totalnumber of PRs they have completed and a Q (quality) statistic which is computed based on thewords used in their review
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the end of the semester.What is Chegg and how do students use it to cheat on exams?To begin, the authors must again emphasize that Chegg is not unique. Many companies providesimilar services for students. The services detailed here are not the only services Chegg offers tostudents, they are the ones that were used to cheat on exams in this class.Students sign up for a Chegg account for a monthly fee. This subscription gives them access tomany services, but the two used for cheating are “homework solutions” and “expert Q&A”.The homework solutions section allows students to search Chegg’s vast database of solvedhomework problems. Students can search for questions by key words or typing phrases from theproblem into Chegg’s search engine. For
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as the unit tests for aspecific function passing without error). To provide the flexibility to allow each student todemonstrate their learning in the way best suited to them, the grading category (quizzes,assignments, Projects 1 and 2, and Project 3) in which the student scored highest was double-weighted in the final grade (i.e., 40% of the final grade instead of 20%).5. Space. Class meetings and office hours were held exclusively on Zoom. Information regardingthe class was distributed among several platforms: GitHub for the content and rubrics forassignments, worksheets, and projects; Canvas for grades, announcements, anddiscussions/Q&A; and a course website for readings and project descriptions. While meeting onZoom worked overall
Funke. Complex Problem Solving: The European Perspective. Psychology Press, 2014, Books.google.com, books.google.com/books?id=O- ZHAwAAQBAJ&printsec=frontcover&source=gbs_atb#v=onepage&q&f=false.[9] Gehringer, Edward F. “Peer Grading Over the Web: Enhancing Education in Design Courses.” North Carolina State University, 1998, pp 1-11.[10] McAlpine, Iain, and Carl Reidsema. "The role of student peer review and assessment in an introductory project-based engineering design course." ConnectEd, International Conference of Design Education. 2007.[11] CATME Smarter Teamwork, Purdue University, 2021, https://info.catme.org/.[12] Iris Cushing, M.F.A. Assistance given to the authors, review of electronic work through the
engineering: research and practice of an interest-based engineering challengesframework", European Journal of Engineering Education, vol. 44, no. 1-2, pp. 103-122.Krüger, M. & Diercks-O'Brien, G. 2013, Cooperative and self-directed learning with thelearning scenario VideoLearn: Engineering education using lecture recordings.Liu, W., Tan, R., Peng, Q., Li, H., Li, Z. & Yang, B. 2020, "Impact of TRIZ learning onperformance in biologically inspired design", International Journal of EngineeringEducation, vol. 36, no. 3, pp. 974-987.Lönngren, J., Adawi, T. & Svanström, M. 2019, "Scaffolding strategies in a rubric-basedintervention to promote engineering students’ ability to address wicked problems", EuropeanJournal of Engineering Education
see a measurabledifference in reverberation time between the two states of the room, particularly in the higher-frequency octave bands.The required materials for the lab included: 1) a smart phone with a sound recording app (e.g.,Hi-Q MP3 Voice Recorder), 2) a reverberant room in a home (bathroom or garage), 3) soundabsorbing materials that can be added and removed from room (towels, carpets, curtains,blankets, etc.), and 4) MATLAB with the Signal Processing Toolbox for filtering and dataanalysis, 5) an impulsive sound source, such as a balloon pop or hand clap.The lab handout included basic acoustic theory, including for room acoustics, an explanation ofreverberation time, and how to compute instantaneous sound pressure level, 𝑆𝑆𝑆𝑆𝑆𝑆
asked questions to thateffect, the audience and client were able to probe deeper into the assumptions and analysismethodology for the second team.Mentioned previously, during the proposal presentations, students in the class played the role ofthe client’s engineering team. They were tasked with assessing the proposal pitch from atechnical perspective and reporting to the client on how effective the product was described,assessing the technical merits of the proposed heat transfer analysis, and rating the ability of theteam to complete their stated deliverables. Completing this assessment necessitated the reviewersto ask questions and probe deeper into the presented proposal. An interesting phenomenonemerged between the in class Q&A and the
outcomes that correspond to the undergraduate pathway (i.e., receiving andresponding). Table 2. SEE course: Bloom’s taxonomy cognitive student outcomes (Q: video quiz, WS: in-class worksheet, HW: weekly homework). Student Assessment type Assessment type Demonstrated ability (Comprehension) outcomes (Knowledge) Identify basic concepts and methods in solving civil and environmental Knowledge engineering problems from a systems
Experience, Proceedings of the ASEE 126th Annual Conference and Exposition,” 2019.[8] S. Luryi et al., “Entrepreneurship in engineering education,” in 2007 37th annual frontiers in education conference-global engineering: knowledge without borders, opportunities without passports, 2007, pp. T2E-10.[9] N. Duval-Couetil, T. Reed-Rhoads, and S. Haghighi, “Engineering students and entrepreneurship education: Involvement, attitudes and outcomes,” Int. J. Eng. Educ., vol. 28, no. 2, p. 425, 2012.[10] Q. Jin et al., “Entrepreneurial career choice and characteristics of engineering and business students,” Int. J. Eng. Educ., vol. 32, no. 2, pp. 598–613, 2016.[11] M. W. Ohland, S. A. Frillman, G. Zhang, C. E
over the 11 subject matter expert presentations. Students were guided in career and degreediscovery as well as their exploration of: • How is COVID affecting major industries and the media? • How do we separate space fact from fiction? • What are the directives for NASA’s Human Exploration Missions? • How are meteorite samples curated and classified? • What is NASA’s Moon to Mars mission? • How do meteors provide clues to Earth’s past? • What are basic star formations and how are they formed?The internship concluded with student research teams presenting their projects to an audience of UT scientists andengineers, as well as other interns and their guests via a live Zoom webinar and Q&A. Over the
percent 1Extroverts 18 51 percent Thinking 18 51 percentIntroverts 17 49 percent Feeling 17 49 percentSensing 17 49 percent Judging 6 17 percentIntuitive 18 51 percent Perceiving 29 83 percentTask 4: Analyze and Interpret the DataRe e ac ed f de e e Q e I f eQ e a e e ad e -line KTS-IItest result of personality type of each student in the
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, M.H. Cho, C.L. Tsai, and R. Marra, “Unpacking online learning experiences:Online learning self-efficacy and learning satisfaction,” Internet and Higher Education, vol. 19,no. 2013, pp. 10-17, 2013, doi:10.1016/j.iheduc.2013.04.001[10] Q. Kreth, M.E. Spirou, S. Budenstein, and J. Melkers, “How prior experience and self-efficacy shape graduate student perceptions of an online learning environment in computing,”Computer Science Education, vol. 29, no. 4, pp. 357-381, 2019.[11] B.H. Chaney, J.M. Eddy, S.M. Dorman, L. Glessner, B. L. Green, and R. Lara-Alecio,“Development of an instrument to assess student opinions of the quality of distance educationcourses. American Journal of Distance Education, vol. 21, no. 3, pp. 145–164, 2007,doi.org/10.1080
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be ideal for exploring the various effects on education at TAMU, such as Q-drops during theSpring 2020 semester, retention and matriculation data of students, and choices of remote coursesover face-to-face courses during the subsequent semesters of the pandemic.ConclusionThe COVID-19 pandemic has taken a toll on everyone in the United States, many have lost friendsand family to the virus, and even today, we cannot see an end to the pandemic-centric world welive in. Despite the circumstances dealt with, it seems that our faculty at TAMU are carrying onas best they can. Even as we write this an author’s student lost a family member to COVID thisweekend. Faculty continue to put their best effort in to adapt to this remote online world in
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