Conference Session

Teaching with ML and Generative AI

Collection

2024 ASEE Annual Conference & Exposition

Authors

Anthony Cortez, Point Loma Nazarene University; Paul Daniel Schmelzenbach, Point Loma Nazarene University

Tagged Divisions

Computers in Education Division (COED)

pressure of an exam situation. This also readiedstudents to be able to interact and carefully evaluate responses by the AI. For some students,ChatGPT-3.5’s initial response did not satisfy the requirements of the test question. This actuallyproduced a very high level of engagement. By this stage, students had developed expertise of theproblem, and had to work toward nudging the AI to get a correct response. Because of theirprevious knowledge of the problem, students were better able to identify differences andsimilarities with their code. While engaged in this careful comparison, several students gainednew insights, or even new methods. The process of nudging the AI toward the correct answer isreminiscent of improving one’s learning by teaching or

Conference Session

COED Programming Education 1: Students, Motivation, and Mastery

Collection

2023 ASEE Annual Conference & Exposition

Authors

Ryan Parsons, Western Washington University; Qiang Hao, Western Washington University; Lu Ding, University of South Alabama

Tagged Divisions

Computers in Education Division (COED)

. First things first: Providing metacognitive scaffolding for interpreting problem prompts. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education, SIGCSE ’19, page 531–537, New York, NY, USA, 2019. Association for Computing Machinery. [7] G. Polya. How to solve it: A new aspect of mathematical method, volume 85. Princeton university press, 2004. [8] D. J. Barnes, S. Fincher, and S. Thompson. Introductory problem solving in computer science. In 5th Annual Conference on the Teaching of Computing, pages 36–39, 1997. [9] D. McCall and M. K¨olling. Meaningful categorisation of novice programmer errors. In 2014 IEEE Frontiers in Education Conference (FIE) Proceedings, pages 1–8. IEEE, 2014.[10] D. McCall

Conference Session

The Best of Computers in Education Division (COED)

Collection

2024 ASEE Annual Conference & Exposition

Authors

Gerald Tembrevilla, Mount Saint Vincent University; Mohosina Jabin Toma, University of British Columbia, Vancouver; Marina Milner-Bolotin, University of British Columbia, Vancouver

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

.2018.00092.[2] CLAS. "CLAS: Collaborative Learning Annotation System." UBC Arts ISIT. https://clas.ubc.ca (accessed June 1, 2023).[3] C. Mulryan-Kyne, "Supporting reflection and reflective practice in an initial teacher education programme: an exploratory study," European journal of teacher education, vol. 44, no. 4, pp. 502-519, 2021, doi: 10.1080/02619768.2020.1793946.[4] S. Ledger and J. Fischetti, "Micro-teaching 2.0: Technology as the classroom," Australasian journal of educational technology, vol. 36, no. 1, p. 37, 2020, doi: 10.14742/ajet.4561.[5] H. Crichton, F. Valdera Gil, and C. Hadfield, "Reflections on peer micro-teaching: raising questions about theory informed practice," Reflective

Conference Session

Simulations and Virtual Learning

Collection

2024 ASEE Annual Conference & Exposition

Authors

David J Gagnon, Field Day Lab @ UW-Madison; John M. Pfotenhauer, University of Wisconsin, Madison; Arganthael Berson, University of Wisconsin, Madison; Luke Swanson, University of Wisconsin, Madison

Tagged Divisions

Computers in Education Division (COED)

system. ● Probability of Transit (p(T)): This parameter measures the probability the student learns the skill after attempting a problem related to that skill. ● Probability of Guess (p(G)): This parameter accounts for the likelihood that the student guesses the answer correctly without actually knowing the skill. It helps distinguish between true knowledge and lucky guesses. ● Probability of Slip (p(S)): The slip parameter is the probability that the student, despite knowing the skill, incorrectly answers a problem. This could be due to mistakes, misunderstandings, or other factors unrelated to their actual knowledge level.Each of these parameters must be initially estimated for each student model variable. ForThermoVR

Conference Session

COED: All about That Math

Collection

2023 ASEE Annual Conference & Exposition

Authors

Yael Gertner, University of Illinois, Urbana-Champaign; Juan Alvarez, University of Illinois, Urbana-Champaign; Benjamin Cosman; Jennifer R. Amos, University of Illinois, Urbana-Champaign

Tagged Divisions

Computers in Education Division (COED)

thesefindings related to how students actually prepared for exams and studied for the course. Wefound no significant correlation between sense of belonging and final grades. In future workwe plan to explore different ways of getting at sense of belonging questions beyond the oneswe used here.References[1] E.L. Deci and R.M. Ryan. 2012. Self-determination theory. In Handbook of theories of social psychology, P.A.M. van Lange, A.W. Kruglanski, and E.T. Higgins (Eds.). Sage Publications Ltd., 416–436.[2] C.S. Dweck. 2006. Mindset: The new psychology of success. New York: Random House.[3] Catherine Good, Aneeta Rattan, and Carol S Dweck. 2012. Why do women opt out? Sense of belonging and women’s representation in mathematics. J. Pers. Soc. Psychol

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Valerie A. Carr, San Jose State University; Jennifer Avena, San Jose State University; David Schuster, San Jose State University; Wendy Lee, San Jose State University; Belle Wei, San Jose State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

education and technology. Cambridge, MA: Harvard University Press, 2010.[4] A. Bandura, Self-efficacy: The exercise of control. New York, NY: W.H. Freeman and Company, 1997.[5] R. W. Lent, S. Brown, and G. Hackett, “Contextual supports and barriers to career choice: A social cognitive analysis,” Journal of Counseling Psychology, vol. 47, no. 1, pp. 36–49, Jan. 2000.[6] R. W. Lent, S. Brown, and G. Hackett, “Toward a unifying social cognitive theory of career and academic interest, choice, and performance,” Journal of Vocational Behavior, vol. 45, no. 1, pp. 79–122, Aug. 1994.[7] R. W. Lent, F. G. Lopez, H. Sheu, H., and A. M. Lopez, “Social cognitive predictors of the interests and choices of

Conference Session

COED Modulus Topics

Collection

2023 ASEE Annual Conference & Exposition

Authors

Martha Cervantes, Johns Hopkins University ; Raphael Norman-Tenazas; Adam Goertz; Erik C. Johnson, University of Illinois, Urbana-Champaign; William Roberts Gray-Roncal

Tagged Divisions

Computers in Education Division (COED)

, Alexandra Hatfield et al. "Adaptable platform for interactive swarm robotics (apis): a human-swarm interaction research testbed." In 2019 19th International Conference on Advanced Robotics (ICAR), pp. 720-726. IEEE, 2019.12. Farnham, T., Jones, S., Aijaz, A., Jin, Y., Mavromatis, I., Raza, U., ... & Sooriyabandara, M. (2021, January). Umbrella collaborative robotics testbed and iot platform. In 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC) (pp. 1-7). IEEE.13. Ospina, Nestor I., Eduardo Mojica-Nava, Luis G. Jaimes, and Juan M. Calderón. "Argrohbots: An affordable and replicable ground homogeneous robot swarm testbed." IFAC-PapersOnLine 54, no. 13 (2021): 256-261.14. Rubenstein, Michael

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Quintana (Quincy) Clark, Oregon State University; Chidinma Grace Okoye; Theodore Ja

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

between the learner and their environment andinfluenced learners' achievements" [8, p. 86]. While remembering that one study app or methoddoes not fit all needs, students must learn the principles of self-regulated learning and how to studyto foster deep understanding. Although this initial pilot study was done within an in-person course,these problems are only compounded for online courses due to reduced personalized guidance,interaction, and feedback. Intentional thinking involves analyses of one's thinking. Studentsdevelop strategies or ways of thinking about the task at hand and the processes or strategiesnecessary to complete the task.COVID-19’s dramatic shift to remote learning left many students struggling in online learningenvironments

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Yael Gertner, University of Illinois Urbana-Champaign; Juan Alvarez, University of Illinois Urbana-Champaign; Benjamin Cosman, University of Illinois Urbana-Champaign; Jennifer R Amos, University of Illinois Urbana-Champaign

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

-determination theory. In Handbook of theories of social psychology, P.A.M. van Lange, A.W. Kruglanski, and E.T. Higgins (Eds.). Sage Publications Ltd., 416–436.[2] Catherine Good, Aneeta Rattan, and Carol S Dweck. 2012. Why do women opt out? Sense of belonging and women’s representation in mathematics. J. Pers. Soc. Psychol. 102, 4 (2012), 700–717.[3] Soohyun Nam Liao, Sander Valstar, Kevin Thai, Christine Alvarado, Daniel Zingaro, William G Griswold, and Leo Porter. 2019. Behaviors of higher and lower performing students in CS1. In Proceedings of the 2019 ACM Conference on Innovation and Tech- nology in Computer Science Education (Aberdeen Scotland Uk). ACM, New York, NY, USA.[4] Adrian Salguero, William G Griswold, Christine

Conference Session

COED Modulus Topics

Collection

2023 ASEE Annual Conference & Exposition

Authors

Mudasser Fraz Wyne, National University; Alireza Farahani; Esmaeil Atashpaz-Gargari; Lu Zhang, National University

Tagged Divisions

Computers in Education Division (COED)

is not necessary to have all instructors assignedto a class, it is required to staff all classes.There are a few constraints attached to the staffing assignment studied in this paper: 1) One class per month: Classes are offered monthly, and each instructor can only teach one class per month. 2) Online and onsite modality: The instruction mode is either online (OL), or onsite (S). It is assumed that onsite instructors can teach online as well. However, online instructors must only be staffed in classes with online modality only. 3) Availability: Instructors must be available to teach in the months they are staffed to teach a class. So, the instructors must only be staffed to teach in the months they are

Conference Session

COED: All about That Math

Collection

2023 ASEE Annual Conference & Exposition

Authors

Ashish Amresh, Arizona State University; Vipin Verma, Arizona State University; Michelle Zandieh, Arizona State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

a mathematicalpuzzle in which a player must move the bunny to a target location(s) marked by food(s) or key(s).The bunny is located at the origin of the Cartesian coordinate system and the food location ismarked as goal position in terms of its < x, y > coordinates. Figure 2a shows the level 1 of thegame where the food position is < 2, −9 >. To solve the puzzle, a player needs to drag and drop (a) Level 1 (b) Level 3 (c) Level 4 (d) Level 5 Figure 2: Various levels in Vector Unknown 2D (Bunny Game)two vectors into appropriate slots and then adjust the vector’s factors (scalars) to create a

Conference Session

Spotlight on Diverse Learners

Collection

2024 ASEE Annual Conference & Exposition

Authors

Isabella Gransbury, North Carolina State University; Monica M. McGill, Institute for Advancing Computing Education; Leigh Ann DeLyser

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

two research questions, we designed a survey, sent it to K-12 computing educationresearchers, and then analyzed the results.3.1 Survey DesignWe began our survey design by modifying the survey used by McGill et al. due to its similarnature of exploring barriers in CER [32]. Our survey differs by explicitly considering barriers inK-12 computing education.Our survey had four primary sections: Research Background, CAPE Research Focus, Barriers toConducting Research, and Participant Demographic Characteristics. In the Research Backgroundsection participants were asked what age and school group they conducted research with, whatrole(s) they identified as in the K-12 CER community, and what communities (e.g. HistoricallyMarginalized Racial Groups

Conference Session

Cybersecurity Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mahmoud K Quweider, The University of Texas Rio Grande Valley; Liyu Zhang; Alexis Aaron De La Cruz

Tagged Divisions

Computers in Education Division (COED)

shows the layers the customer controls, while the red shows the ones under theprovider’s control. On-site IaaS PaaS SaaS Applications Applications Applications Applications Data Data Data Data Runtime Runtime Runtime Runtime Middleware Middleware Middleware Middleware O/S O/S O/S O/S Virtualization Virtualization Virtualization Virtualization

Conference Session

Programming Education 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Timothy James, Purdue University; Alejandra J. Magana, Purdue University

Tagged Divisions

Computers in Education Division (COED)

, no. 4, pp. 789–809, Dec. 2020, doi: 10.1007/s10758-020-09441-x.[5] J. Goopio and C. Cheung, “The MOOC dropout phenomenon and retention strategies,” Journal of Teaching in Travel and Tourism, vol. 21, no. 2, pp. 177–197, 2021, doi: 10.1080/15313220.2020.1809050.[6] B. B. Morrison, L. E. Margulieux, and M. Guzdial, “Subgoals, context, and worked examples in learning computing problem solving,” in ICER 2015 - Proceedings of the 2015 ACM Conference on International Computing Education Research, Association for Computing Machinery, Inc, Jul. 2015, pp. 267–268. doi: 10.1145/2787622.2787733.[7] M. Yarmand, J. Solyst, S. Klemmer, and N. Weibel, “It feels like i am talking into a void: Understanding

Conference Session

Simulations and Virtual Learning

Collection

2024 ASEE Annual Conference & Exposition

Authors

Momina Liaqat Ali; Zhou Zhang, Middle Tennessee State University

Tagged Divisions

Computers in Education Division (COED)

, Oregon, USA, June 23-26, 2024 Ali, M. & Zhang, Z.[2] Kozak, I., Banerjee, P., Luo, J. & Luciano, C., 2014, “Virtual reality simulator for vitreoretinal surgery using integrated OCT data”, Clinical Ophthalmology, Vol. 8, pp. 669-672.[3] Zhang, Z., Chang, Y., Esche, S.K. and Zhang, A.S, 2022, “Application of internet of things in online robotics class”, ASEE Annual Conference & Exposition, Minneapolis, Minnesota, USA, July 26-29, 2022.[4] Alfaisal, R., Hashim, H. & Azizan, U.H.,2024, “Metaverse system adoption in education: a systematic literature review”, J. Comput. Educ, Vol. 11, pp. 259-303.[5] Jeyakumar, T., Ambata-Villanueva, S., McClure, S

Conference Session

The Best of Computers in Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Shameel Abdulla, Texas A&M University, Qatar; Yasser M. Al Hamidi, Texas A&M University, Qatar; Marwan Khraisheh, Texas A&M University, Qatar

Tagged Divisions

Computers in Education Division (COED)

the chatbot. The updated version will betested on a larger student base. More detailed responses and information will be added to cover awide variety of courses.References [1] G.-J. Hwang and C.-Y. Chang, "A review of opportunities and challenges of chatbots in education," Interactive Learning Environments, pp. 1–14,, July 2021.[2] S. Wollny, J. Schneider, D. Mitri, J. Weidlich, M. Rittberger and H. Drachsler, "Are We There Yet? - A Systematic Literature Review on Chatbots in Education," Front Artif Intell, vol. 4, July 2021.[3] S. Ondas, M. Pleva and D. Hladek, "How chatbots can be involved in the education process," in 2019 17th International Conference on Emerging eLearning Technologies and Applications (ICETA, 2019.[4] M. C

Conference Session

COED: Computing in K-12 / Early Childhood Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Jaejin Hwang, Northern Illinois University; sungchul lee, Sun Moon University, South Korea; Yanghee Kim; Mobasshira Zaman, Northern Illinois University; Sobhit Pokhrel

Tagged Divisions

Computers in Education Division (COED)

, p. 114442, 2021.[4] S. De Felice, A. F. de C. Hamilton, M. Ponari, and G. Vigliocco, “Learning from others is good, with others is better: the role of social interaction in human acquisition of new knowledge,” Philos. Trans. R. Soc. B, vol. 378, no. 1870, p. 20210357, 2023.[5] A. J. Bremner, D. J. Lewkowicz, and C. Spence, “The multisensory approach to development.,” 2012.[6] D. Abrahamson and R. Lindgren, Embodiment and embodied design. 2014.[7] D. Radovic, L. Black, J. Williams, and C. E. Salas, “Towards conceptual coherence in the research on mathematics learner identity: A systematic review of the literature,” Educ. Stud. Math., vol. 99, pp. 21–42, 2018.[8] C. Perrotta and B. Williamson, “The social life of Learning

Conference Session

COED: AI and ML Topics

Collection

2023 ASEE Annual Conference & Exposition

Authors

Nebojsa I. Jaksic, Colorado State University, Pueblo; Bahaa Ansaf, Colorado State University, Pueblo

Tagged Divisions

Computers in Education Division (COED)

special design/research projects at the senior or graduate levels.Bibliography1. J. Dewey, Experience and Education, Macmillan, N.Y., 1939.2. D. A. Kolb, Experiential Learning: Experience as the Source of Learning and Development, Prentice Hall, Englewood Cliffs, N.J., 1984.3. A. Bandura, Self-Efficacy: The Exercise of Control, W. H. Freeman and Company, NY, 1997.4. J. N. Harb, S. O. Durrant, and R. E. Terry, “Use of the Kolb Learning Cycle and the 4MAT System in Engineering Education,” Journal of Engineering Education, Vol. 82, April 1993, pp. 70-77.5. J. N.Harb, R. E. Terry, P. K. Hurt, and K. J. Williamson, Teaching Through the Cycle: Application of Learning Style Theory to Engineering Education at Brigham Young University, 2nd

Conference Session

Programming Education 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Chi Yan Daniel Leung, zyBooks, A Wiley Brand; Joseph Mazzone, zyBooks, A Wiley Brand; Efthymia Kazakou, zyBooks, A Wiley Brand; Chelsea Gordon, zyBooks, A Wiley Brand; Alex Daniel Edgcomb, zyBooks, A Wiley Brand; Yamuna Rajasekhar, zyBooks, A Wiley Brand

Tagged Divisions

Computers in Education Division (COED)

‭same: 93-96% average completion rate, 3.5-8.3 average time spent (hours), and 3.6-4.0 average number‬ ‭of tries. Such measures indicate that Advanced zyLabs do not impede student outcomes. Future work may‬ ‭analyze novel features of Advanced zyLabs, such as the hints system, and may measure the impact on‬ ‭student outcomes specifically in advanced computer science courses.‬‭References‬[‭ 1] M. Sherman, S. Bassil, D. Lipman, N. Tuck, and F. Martin, “Impact of autograding on an introductory‬ ‭computing course,” Journal of Computing Sciences in Colleges, vol. 28, no. 6, pp. 69-75, Jun 2013.‬ ‭[2] R. Pettit, J. Homer, R. Gee, S. Mengel, and A. Starbuck. “An Empirical Study of Iterative‬ ‭Improvement in Programming Assignments.” in

Conference Session

ML and Generative AI Tools and Policies

Collection

2024 ASEE Annual Conference & Exposition

Authors

Lucas J. Wiese, Purdue University at West Lafayette; Alejandra J. Magana, Purdue University at West Lafayette

Tagged Divisions

Computers in Education Division (COED)

study is guided primarily by the concepts of Teacher Noticing and Teacher Beliefs. Thesetwo concepts inform our research questions and guide our analysis and findings. First, TeacherNoticing originated from Sherin et al.’s [12] book that conceptualized how a teacher’s noticing-ability in the classroom impacts the dynamic teaching and learning processes. Initiallyconstructed, ‘noticing’ is an ephemeral phenomenon. It happens instantaneously and under thenoise of other, more conscious, mental processes. This construct stems from two psychologicalconcepts: Teachers have selective attention to notice a situation in the classroom, then enactprofessional knowledge-based reasoning. However, beyond just in-the-moment, a teacher’slesson plan

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Brayan A Díaz, North Carolina State University; Kevin Han, North Carolina State University

Tagged Divisions

Computers in Education Division (COED)

with multidisciplinary teams allowingstudents one-on-one interaction while working on real projects enables them to negotiate theirparticipation with peers, resulting in a deeper integration of the involved disciplines. Boundary objects play a critical role in how interdisciplinary collaboration occurs, and the coursemust offer and promote concrete boundary objects (e.g., software, procedures, knowledge) from eachdiscipline. Although some software may be predominantly used in the new CoP environment, instructorscan highlight alternative boundary objects that enable students to accomplish the tasks required in thecourse. ReferencesAlmeida, L. M. de S., Becker, K. H., & Villanueva, I

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Daniel Limbrick, North Carolina A&T State University; Laura Marcela Garcia Suarez; Deriech Cummings II, North Carolina A&T State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

, “The equivalence of theorem proving and the interconnection problem,” SIGDA Newsl., vol. 5, p. 31–36, sep 1975. [6] E. Beyne, “The 3-d interconnect technology landscape,” IEEE Design & Test, vol. 33, no. 3, pp. 8–20, 2016. [7] D. Sylvester and K. Keutzer, “Rethinking deep-submicron circuit design,” Computer, vol. 32, pp. 25–33, 1999. [8] M. Zhu, J. Lee, and K. Choi, “An adaptive routing algorithm for 3d mesh noc with limited vertical bandwidth,” in 2012 IEEE/IFIP 20th International Conference on VLSI and System- on-Chip (VLSI-SoC), pp. 18–23, 2012. [9] S. Das and D. K. Das, “Steiner tree construction for graphene nanoribbon based circuits in presence of obstacles,” in 2018 International Symposium on Devices

Conference Session

Computer-Supported Pedagogy and Assessment

Collection

2024 ASEE Annual Conference & Exposition

Authors

Tammy VanDeGrift, University of Portland

Tagged Divisions

Computers in Education Division (COED)

technical vocabulary, and the misconceptions they have with the material.AcknowledgementsMany thanks to the students who provided feedback on the surveys and to the institution forproviding free access to Microsoft Teams for students and the instructor to easily create and storevideo files.References [1] S. Adams, “This $12 Billion Company Is Getting Rich Off Students Cheating Their Way Through Covid,” Forbes Magazine. March 31, 2021. [2] J.P. Abulencia, M.A. Vigeant, D.L. Silverstein, “Student-Generated Videos for Thermodynamics Teaching and Learning,” In Proceedings of the 2015 ASEE Annual Conference & Exposition, 2015. https://peer.asee.org/24765 [3] A. Balderas and J.A. Caballero-Hernandez, “Analysis of Learning

Conference Session

COED Programming Education 2: Instructional Approaches

Collection

2023 ASEE Annual Conference & Exposition

Authors

Richard Whalen, Northeastern University; Joshua L. Hertz, Northeastern University

Tagged Divisions

Computers in Education Division (COED)

change while at other times it might beinconclusive or a step backwards. Nonetheless, there is value in trying and as in this study we willcontinue to look to improve our approach to introducing students to both software and hardwareapplications moving forward.References[1] S. F. Freeman et al., “Cranking Up Cornerstone: Lessons Learned from Implementing a Pilot with First-Year Engineering Students,” presented at the 2016 ASEE Annual Conference & Exposition, Jun. 2016. Accessed: Jan. 06, 2023. [Online]. Available: https://peer.asee.org/cranking-up-cornerstone-lessons-learned-from-implementing-a-pilot- with-first-year-engineering-students[2] K. A. Dunnigan, A. Dunford, and J. Bringardner, “From Cornerstone to

Conference Session

COED: Student Perspectives of Instructional and Advising Approaches

Collection

2023 ASEE Annual Conference & Exposition

Authors

Jessica Ohanian Perez, California State Polytechnic University, Pomona; Juliana Lynn Fuqua, California State Polytechnic University, Pomona; Faye Linda Wachs, California State Polytechnic University, Pomona; Paul Morrow Nissenson, California State Polytechnic University, Pomona; Brooke Jones; Jeffrey A. Phillips; Harmony Nguyen, The Pennsylvania State University

Tagged Divisions

Computers in Education Division (COED)

and Sociology at Cal- ifornia State University Polytechnic, Pomona who completed her doctoral degree at the University of California, Irvine. Dr. Fuquaˆa C™s dissertation at theDr. Faye Linda Wachs, California State Polytechnic University, Pomona Faye Linda Wachs is a professor of Sociology in the Department of Psychology & Sociology at California State Polytechnic University, Pomona. Dr. Wachs received her Phd in Sociology from the University of Southern California, along with a graduate certificate in gender studies. Dr. Wachs’ published work focuses on gender equity, health, fitness, media, sport, sexuality and consumerism. Her book, Body Panic: Gender, Health and the Selling of Fitness, co-authored with

Conference Session

COED: AI and ML Topics

Collection

2023 ASEE Annual Conference & Exposition

Authors

Jonathan Adam Niemirowski, Louisiana Tech University; Krystal Corbett Cruse, Louisiana Tech University; David Hall, Louisiana Tech University

Tagged Divisions

Computers in Education Division (COED)

). Students provided consent to have their course performance and surveyresults be used for research purposes. Their responses to the pre-course and post-course surveyswere anonymized. Table 3. Survey (O = Open, K = Knowledge, S = Skills, A = Attitudes, L = List, P = Post-Course Open)O1 In your own words, describe machine learningO2 In your own words, describe the limitations of machine learningO3 In your own words, provide specific examples of how machine learning will likely impact your career in the next 10 yearsK1 I can describe at least one ML applicationK2 I understand the main steps to implement at least one ML applicationK3 I understand what distinguishes ML from traditional mathematical approachesK4

Conference Session

COED: Student Perspectives of Instructional and Advising Approaches

Collection

2023 ASEE Annual Conference & Exposition

Authors

Mahbub K. Ahmed, P.E., Southern Arkansas University; Kendra J. Ahmed, Southern Arkansas University

Tagged Divisions

Computers in Education Division (COED)

Program: Students’ PerspectivesAbstractEffective advising ensures students take the proper classes to stay on track for their graduation.For example, in an engineering curriculum, it is crucial that students maintain the propersequence of courses that results in the culmination of the program's required capstone designcourse(s). Any human error during the advising process can risk the disruption of the smoothprogression through the program for a student. Thus, a computerized web-based advising toolcan be highly useful to eliminate such human errors in identifying the most needed coursesduring an advising session. Currently, many advising tools are available through commercialbusinesses or developed by those working in the field of education. In

Conference Session

The Best of Computers in Education Division (COED)

Collection

2024 ASEE Annual Conference & Exposition

Authors

Yutong Ai, University of Michigan; Maya Baveja, University of Michigan; Akanksha Girdhar, University of Michigan; Melina O'Dell, University of Michigan; Andrew Deorio, University of Michigan

Tagged Divisions

Computers in Education Division (COED)

. 1–13, Sept. 2023. [7] S. Abdul-wahab, N. Salem, and S. Fadlallah, “Students’ reluctance to attend office hours: Reasons and suggested solutions,” Journal of Educational and Psychological Studies, vol. 13, p. 715, Oct. 2019. [8] H. Alkaissi and S. I. McFarlane, “Artificial hallucinations in ChatGPT: Implications in scientific writing,” Cureus, vol. 15, Feb. 2023. [9] H. Chase, “LangChain.” https://github.com/langchain-ai/langchain, 2022.[10] T. Zhang, F. Ladhak, E. Durmus, P. Liang, K. McKeown, and T. B. Hashimoto, “Benchmarking large language models for news summarization,” 2023. arXiv 2301.13848.Appendix A: Survey QuestionsBackgroundHow many group members are: • Grad students? [0-3] • Senior standing or above? [0-3

Conference Session

Cybersecurity Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Anyi Liu, Oakland University; Bruce R Maxim, University of Michigan, Dearborn; Xiaohong Yuan, North Carolina A&T State University; Yuan Cheng, Grand Valley State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Professor Quirrell cannot. You should create a random document foryour own and demonstrate this scenario.This lab task assumes that a confidential document is encrypted by Hermione Granger, whosecontent is only viewable by Harry Potter and Ron Weasley. In other words, only Harry and Roncan decrypt and read the document, while Professor Quirrell cannot. Students should demonstratethis scenario with two deliverables: 1. Let’s say you are Hermione Granger. Please provide command lines that encrypt the doc- ument. Also, please include the screenshot(s) to demonstrate that the document has been encrypted successfully. 2. Please provide command lines that show Harry Potter and Ron Weasley can decrypt the ciphertext. Also, provide the

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Thomas Rossi, University of New Haven; Pulin Agrawal, Pennsylvania State University; Negein Immen, Pennsylvania State University; Angelina Krystal Valentin, Pennsylvania State University; Neha Sagi, Pennsylvania State University; Domenico Alford-Egizio, Pennsylvania State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

their contributions to the creation of the original videos for this project.Although they were not involved in writing and publishing this paper, their efforts were essentialin this project.Citations [1] A. Alammary, “Blended learning models for introductory programming courses: Asystematic review,” PLOS ONE, vol. 14, no. 9, p. e0221765, Sep. 2019, doi:10.1371/journal.pone.0221765. [2] M. Ljubojevic, V. Vaskovic, S. Stankovic, and J. Vaskovic, “Using SupplementaryVideo in Multimedia Instruction as a Teaching Tool to Increase Efficiency of Learning andQuality of Experience,” Int. Rev. Res. Open Distance Learn., vol. 15, pp. 275–291, Jul. 2014,doi: 10.19173/irrodl.v15i3.1825.