Conference Session

The Best of Computers in Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Yiqiu Zhou, University of Illinois, Urbana-Champaign ; Qianhui Liu, University of Illinois, Urbana-Champaign ; Sophia Yang, University of Illinois, Urbana-Champaign ; Abdussalam Alawini, University of Illinois, Urbana-Champaign

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Diversity

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Computers in Education Division (COED)

design their class.Among the multiple ways to reveal collaborative problem-solving processes, temporal submissionpatterns is one that is more scalable and generalizable in Computer Science education. In thispaper, we provide a temporal analysis of a large dataset of students’ submissions to collaborativelearning assignments in an upper-level database course offered at a large public university. Thelog data was collected from an online assessment and learning system, containing the timestampsof each student’s submissions to a problem on the collaborative assignment. Each submission waslabeled as quick (Q), medium (M), or slow (S) based on its duration and whether it was shorter orlonger than the 25th and 75th percentile. Sequential compacting and

Conference Session

Simulations and Virtual Learning

Collection

2024 ASEE Annual Conference & Exposition

Authors

MEHMET Nasir SARIMURAT, Syracuse University

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Computers in Education Division (COED)

. 6. Therod has a length of L = 2 cm, a constant thermal conductivity k = 0.5 W/mK, an area ofA = 1 m2 , and uniform heat generation q = 1000 kW/m3 . Faces A and B are at temperaturesTA = 100 ◦ C and TB = 200 ◦ C, respectively. The governing equation is given by: d dT k +q =0 (27) dx dx (a) Solve this problem analytically and find the temperature distribution T (x) along the rod. (b) Utilize the finite volume method with 5 cells (N = 5) to calculate the steady-state temperature distribution in the rod.To solve this

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

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Computers in Education Division (COED)

will discuss in detail.1. Pedagogy Components: a. Cloud Computing i. Theory & Concepts ii. Lab Modules iii. Assessment iv. Q/A Sessions2. Platform Support: a. Primary: GCP (Google Gloud Platform) b. Secondary: AWS, Azure3. Degree Support Courses: a. Electives: AI/ML b. Required: Capstone Project4. Job Support Certifications: a. Primary: Cloud+ and GCP/AWS/Azure b. Secondary: Linux+We designed the CTaaS framework as a seamlessly integrated system where componentscomplement each other without requiring any extra effort beyond what is required by thecybersecurity degree. In the following, we go over CTaaS’s details. Cloud

Conference Session

Computer Engineering Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Peter Jamieson, Miami University; Nathaniel David Martin, Miami University

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Computers in Education Division (COED)

) = 2 − D(1) = 1.000102 D(2) = D(1) ∗ R(1) = 0.1111111102 R(2) = 2 − D(2) = 1.0000000102 D(2) = D(2) ∗ R(2) = 0.111111111112 Q = N ∗ R(0) ∗ R(1) ∗ R(2) = .10001010101012 Q = 0.5416510 0.4062510 /0.7510 = 0.541666610The Newton-Raphson method follows a similar process, except it approaches the inverse of thedenominator, and multiplies the inverse of the denominator with the numerator. The algorithm forthis method is xi+1 = x1 (2 − D ∗ xi ), where i is the number of iterations, and D is thedenominator. After multiple iterations, xi will approach the inverse of the denominator. Thesetwo algorithms are based on the same mathematical principle but have differentimplementations.2.5 Very High RadixAs you increase the radix of the SRT division

Conference Session

Cybersecurity Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Heena Rathore, Texas State University; Henry Griffith, San Antonio College

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Computers in Education Division (COED)

. 53.1.4 Challenge 4The challenge involves performing multiplication on two large numbers, p and q, and subsequentlyfinding the factors of the resultant number. To achieve this, participants are instructed to downloadand employ the yafu tool. The values of p and q are provided as hexadecimal representations. Thestudents were given extra commands such as “yafu.exe “p*q”” to be executed in the commandprompt to perform the multiplication. Afterward, the task entails factorizing the computed numberand identifying the P3 value as the answer. To factorize the number, the command “yafu.exe factor(number)” was used. An additional doc file was given to students for consultation. The decryptedflag was a location to a particular place.3.1.5 Challenge

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ahmed Ashraf Butt, Carnegie Mellon University; Eesha tur razia babar, University of California, Irvine; Muhsin Menekse, Purdue University, West Lafayette; Ali Alhaddad, Purdue University, West Lafayette

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Computers in Education Division (COED)

. 233–243, Oct. 2013, doi: 10.1016/j.compedu.2013.05.012.[6] Y. Chen, Y. Ma, X. Mao, and Q. Li, “Multi-Task Learning for Abstractive and Extractive Summarization,” Data Science and Engineering, vol. 4, no. 1, pp. 14–23, Mar. 2019, doi: 10.1007/s41019-019-0087-7.[7] A. Magooda, M. Elaraby, and D. Litman, “Exploring Multitask Learning for Low-Resource AbstractiveSummarization,” arXiv preprint arXiv:2109.08565, 2021.[8] J. P. Verma and A. Patel, “An Extractive Text Summarization approach for Analyzing Educational Institution’s Review and Feedback Data,” International Journal of Computer Applications, vol. 143, pp. 51–55, 2016.[9] W. Luo and D. Litman, “Summarizing student responses to reflection prompts,” in Proceedings of

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Ryan L. Solnosky P.E., Pennsylvania State University; Rebecca Napolitano; Wesley F. Reinhart, Pennsylvania State University

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Computers in Education Division (COED)

exposure to actual data. • Establish Teach-the-teacher and inter-institutional translation documentation in the form of a webinar, self-reflection materials, best practices documentation, and shared feedback from prior professors who taught the material • Establish a website that covers the following attributes: a Q&A forum for professors, repository for educational materials, surveys, and example code tailored to AE and MATSE students, repository for community related datasets, and teach-the-teacher and inter-institutional translation documentation.A Contextualized DS Approach in MATSE and AE A review of the most prevalent and useful data-centered skills was conducted to ensure thatemerging

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Ahmed Ashraf Butt, Purdue University at West Lafayette (COE); Saira Anwar, Texas A&M University; Muhsin Menekse, Purdue University at West Lafayette (COE)

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Computers in Education Division (COED)

. Ophthalmol., vol. 70, no. 5, p. 1773, 2022.[11] Q. D. Nguyen, N. Fernandez, T. Karsenti, and B. Charlin, “What is reflection? A conceptual analysis of major definitions and a proposal of a five-component model,” Med. Educ., vol. 48, no. 12, pp. 1176–1189, Dec. 2014, doi: 10.1111/medu.12583.[12] A. A. Butt, S. Anwar, and M. Menekse, “WIP: Investigating the relationship between FYE students’ reflections and academic performance across gender,” in 2022 First-Year Engineering Experience, 2022.[13] M. A. Cohn, B. L. Fredrickson, S. L. Brown, J. A. Mikels, and A. M. Conway, “Happiness unpacked: Positive emotions increase life satisfaction by building resilience.,” Emotion, vol. 9, pp. 361–368, 2009, doi

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

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Diversity

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Computers in Education Division (COED)

question (such as a chapter’s worth of material) to better refine the response to thestudent. We also implement frequent and customized Q&A buttons, such as simplifying aresponse, providing prerequisite information, providing a real-world example, etc. Thecustomization buttons allow the user to provide their own frequently asked questions, such as“Explain it to me like I’m a 5-year-old”.Study impact includes feedback from eNotebook’s usage analytics, where automated personalizedquiz scores will be correlated with tracked study habits, and suggested changes will be offered byeNotebook to improve academic performance. Templates from various study methods will beavailable, as well as shared libraries of student-customized versions of eNotebook

Conference Session

COED: Skills for Moving from Computing Student to Professional

Collection

2023 ASEE Annual Conference & Exposition

Authors

Edward Dillon, Morgan State University; Abigail Dina; Mariah McMichael; Theodore Wimberly Jr.; Lauren Brown; Krystal L. Williams, University of Georgia

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Diversity

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Computers in Education Division (COED)

, Z. Bright, Q. Kimble-Brown, C. Rogers, M. Lewis, J. Esema, B. Clinkscale, and K.L. Williams. “Exposing Early CS Majors to Coding Interview Practices: An HBCU Case Study.” 2021 Conference on Research in Equitable and Sustained Participation in Engineering, Computing, and Technology (RESPECT), IEEE, 2021, pp. 1-4.[17] E. Dillon, and K. L. Williams. "Course content as a tool of inclusivity for Black/African- American women in computing." Journal of Computing Sciences in Colleges, 36(3), 2020. pp. 151-160.[18] Z. Dodds, C. Alvarado, G. Kuenning, and R. Libeskind-Hadas. “Breadth-first CS 1 for scientists.” ACM SIGCSE Bulletin., 39, 3, 2007, pp. 23–27.[19] EEOC.gov. “US Equal Employment Opportunity Commission. Diversity in

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

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Computers in Education Division (COED)

3students with practice problems. The chatbot should help with project-related tasks such aschecking out equipment and requesting services. Such information is usually hard to find, andstudents might not even know the facilities they have access to. Another tedious task is schedulingmeetings. Students tend to send back-and-forth emails to set meetings with professors and TAs.The chatbot should assist with scheduling meetings based on the availability of the student and theprofessor or TA. The chatbot should also be able to provide general information unrelated to aparticular course such as Q-drop dates or registration information. Finally, it should easily providethe students with access to all safety documents, such as Safety Data Sheets (SDS

Conference Session

Teaching with ML and Generative AI

Collection

2024 ASEE Annual Conference & Exposition

Authors

Han Kyul Kim, University of Southern California; Aleyeh Roknaldin, University of Southern California; Shriniwas Prakash Nayak, University of Southern California; Xiaoci Zhang, University of Southern California; Muyao Yang, University of Southern California; Marlon Twyman, University of Southern California; Angel Hsing-Chi Hwang, Cornell University; Stephen Lu, University of Southern California

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Computers in Education Division (COED)

. Thurston, R. Thielstrom, T. Fong, Q. Pham, and M. Scheutz, “Toward genuine robot teammates: Improving human-robot team performance using robot shared mental models.” in Aamas, 2020, pp. 429–437.[16] K. Bezrukova, T. L. Griffith, C. Spell, V. Rice Jr, and H. E. Yang, “Artificial intelligence and groups: Effects of attitudes and discretion on collaboration,” Group & Organization Management, vol. 48, no. 2, pp. 629–670, 2023.[17] L. Giray, J. Jacob, and D. L. Gumalin, “Strengths, weaknesses, opportunities, and threats of using chatgpt in scientific research,” International Journal, vol. 7, no. 1, pp. 40–58, 2024.[18] L. Memmert and N. Tavanapour, “Towards human-ai-collaboration in brainstorming: Empirical insights into the

Conference Session

COED: Spotlight on Diverse Learners

Collection

2023 ASEE Annual Conference & Exposition

Authors

Vijesh J. Bhute, Imperial College London; Ellen Player; Deesha Chadha, Imperial College London

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Diversity

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Computers in Education Division (COED)

International Congress on Mathematical Software, 2020, pp. 386–392, doi: 10.1007/978-3-030-52200-1_38.[28] D. H. Smith, Q. Hao, C. D. Hundhausen, F. Jagodzinski, J. Myers-Dean, and K. Jaeger, “Towards Modeling Student Engagement with Interactive Computing Textbooks: An Empirical Study,” SIGCSE 2021 - Proc. 52nd ACM Tech. Symp. Comput. Sci. Educ., pp. 914–920, 2021, doi: 10.1145/3408877.3432361.[29] J. Reades, “Teaching on jupyter – using notebooks to accelerate learning and curriculum development,” Region, vol. 7, no. 1, pp. 21–34, 2020, doi: 10.18335/region.v7i1.282.[30] J. W. Johnson, “Benefits

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

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Diversity

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Computers in Education Division (COED)

, demonstrates technol- ogy and tools, identifies common pitfalls, and articulates deliverables. As illustrated in Figure 8b, 76.5% of the students from both institutions positively confirm the effectiveness of presentations and videos. Finally, to address students’ concerns about timely feedback, we use the chat feature of Slack chatbot 36 and Zoom 37 to facilitate Q&A sessions. Because of these efforts, we kept students’ satisfaction consistent during and after the Pandemic. 7 Reflections and Future work After conducting a 5-year pedagogic project, we have gained valuable insights from both students and faculty in cybersecurity. In the following, we have compiled a list of lessons learned and recommendations for researchers and educators.• Does

Conference Session

COED Programming Education 2: Instructional Approaches

Collection

2023 ASEE Annual Conference & Exposition

Authors

Timothy James, Purdue University, West Lafayette ; Alejandra J. Magana, Purdue University at West Lafayette

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Computers in Education Division (COED)

Colab file that covers the “continue” keyword in Python. Thisshould closely match the delivery of content in the lecture slides and videos, as seen in Figure 2. Fig. 1. Colab content on the "continue" keyword Fig. 2. Lecture slide content on the "continue" keywordIn the self-paced version of the course, an instructional Colab notebook was shared with thestudents two times each week (available in Appendix B). In the instructor-led version of thecourse, lectures were delivered two times each week via Google Meet, recorded, and shared withthe students along with the slides (slides and recordings available in Appendix B). Both courseshad live Q&A sessions at the end of each week.5

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

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Computers in Education Division (COED)

, “Comparing first-and third-person perspectives in early elementary learning of honeybee systems,” Instr. Sci., vol. 48, no. 3, pp. 291–312, 2020.[17] H. W. Park, M. Gelsomini, J. J. Lee, and C. Breazeal, “Telling stories to robots: The effect of backchanneling on a child’s storytelling,” in Proceedings of the 2017 ACM/IEEE international conference on human-robot interaction, 2017, pp. 100–108.[18] J. Martínez-Miranda, H. Pérez-Espinosa, I. Espinosa-Curiel, H. Avila-George, and J. Rodríguez-Jacobo, “Age-based differences in preferences and affective reactions towards a robot’s personality during interaction,” Comput. Hum. Behav., vol. 84, pp. 245–257, 2018.[19] Y. Kim, J. Thayne, and Q. Wei, “An embodied agent helps anxious students

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jiping Li, University of Toronto; Zhiqiang Yin, University of Toronto; Hamid S Timorabadi P.Eng., University of Toronto

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Computers in Education Division (COED)

/rnmapbox/maps.[4] X. Song, X. Fan, X. He, C. Xiang, and Q. Ye. “CNNLoc: Deep-Learning Based Indoor Localization with WiFi.” IEEE. Aug. 13, 2019. https://ieeexplore.ieee.org/document/9060340[5] “Autodesk Empowers Innovators Everywhere to Make the New Possible.” Autodesk, November 13, 2023. https://www.autodesk.com/.[6] H. Butler, M. Daly, A. Doyle, S. Gillies, T. Schaub, and S. Hagen, “The GeoJSON Format,” IETF, Aug. 01, 2016. https://datatracker.ietf.org/doc/html/rfc7946#page-3[7] OSGeo. “OSGeo/GDAL: Gdal Is an Open Source MIT Licensed Translator Library for Raster and Vector Geospatial Data Formats.” GitHub, n.d. https://github.com/OSGeo/gdal.[8] Realm. “Realm/Realm-Js: Realm Is a Mobile Database: An Alternative to SQLite &

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Deborah Moyaki, University of Georgia; Deborah Gbemisola Fabiyi, Washington State University; Nathaniel Hunsu, University of Georgia

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Diversity

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Computers in Education Division (COED)

educational engineering games as learning tools in the classroom. IEEE, 2020, pp. 1-9.[14] K. Cook-Chennault and I. Villanueva, An initial exploration of the perspectives and experiences of diverse learners’ acceptance of online educational engineering games as learning tools in the classroom. IEEE, 2019, pp. 1-9.[15] G. Naveh and A. Shelef, "Analyzing attitudes of students toward the use of technology for learning: simplicity is the key to successful implementation in higher education," International Journal of Educational Management, Article vol. 35, no. 2, pp. 382-393, 2021, doi: 10.1108/IJEM-04-2020-0204.[16] A. Hanif, F. Q. Jamal, and N. Ahmed, "Behavioral Intention for Adopting Technology Enhanced

Conference Session

ML and Generative AI Tools and Policies

Collection

2024 ASEE Annual Conference & Exposition

Authors

Alyson G. Eggleston, Pennsylvania State University; Robert J. Rabb P.E., Pennsylvania State University

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Computers in Education Division (COED)

study on technology acceptance, perceptions, efficacy, and detection chances. Computers and Education: Artificial Intelligence, 5, 100172, 2023.[14] J. D. Zamfirescu-Pereira, R. Y. Wong, B. Hartmann, and Q. Yang, Why Johnny can’t prompt: how non-AI experts try (and fail) to design LLM prompts. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-21), April 2023.[15] A. Johnson, ChatGPT In Schools: Here’s Where It’s Banned—And How It Could Potentially Help Students. Forbes, 2023. [online]. https://www.forbes.com/sites/ariannajohnson/2023/01/18/chatgpt-in-schools-heres-where- its-banned-and-how-it-could-potentially-help-students/?sh=acc10006e2c6 [accessed 5 February 2024].[16] Zhaw

Conference Session

The Best of Computers in Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Andrew Rukangu, University of Georgia; John Ray Morelock, University of Georgia; Kyle Johnsen, University of Georgia

Tagged Divisions

Computers in Education Division (COED)

tool for recruiting, engaging, retaining and educating students,” in Proceedings of the 11th WSEAS international conference on Instrumentation, Measurement, Circuits and Systems, 2012, pp. 196–201.A. C. Passos, F. L. Junior, and H. H. de Arruda, “Project-based learning activity with robotics: A low-cost case study,” in 2022 Latin American Robotics Symposium (LARS), 2022 Brazilian Symposium on Robotics (SBR), and 2022 Workshop on Robotics in Education (WRE), 2022, pp. 360–365.J. McLurkin, J. Rykowski, M. John, Q. Kaseman, and A. J. Lynch, “Using multi-robot systems for engineering education: Teaching and outreach with large numbers of an advanced, low-cost robot,” IEEE Transactions on Education, vol. 56, no. 1, pp. 24–33, 2013.L

Conference Session

COED: Computing in K-12 / Early Childhood Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Safia A. Malallah, Kansas State University; Lior Shamir, Kansas State University; William Henry Hsu, Kansas State University; Joshua Levi Weese, Kansas State University; Salah Alfailakawi, Kansas State University

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Diversity

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Computers in Education Division (COED)

Conference Session

COED: Skills for Moving from Computing Student to Professional

Collection

2023 ASEE Annual Conference & Exposition

Authors

Mary Kay Camarillo, University of the Pacific; Elizabeth Basha, University of the Pacific

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Computers in Education Division (COED)

instruction in multiple STEM disciplines,”presented at the ASEE Annual Conference, Virtual Conference, Jul 26-9, 2021. Available:https://peer.asee.org/37955.[2] C. Torres-Machi, A. Bielefeldt, and Q. Lv, “Work in progress: The strategic importanceof data science in civil engineering: Encouraging interest in the next generation,” presented at theASEE Annual Conference, Minneapolis, MN, Jun 26-9, 2022. Available:https://peer.asee.org/40713.[3] S. Grajdura and D. Niemeier, "State of programming and data science preparation in civilengineering undergraduate curricula," Journal of Civil Engineering Education, vol. 149, no. 2, p.04022010, 2023, doi: doi:10.1061/(ASCE)EI.2643-9115.0000076.[4] J. G. Hering, "From slide rule to big data: How data

Conference Session

COED: Skills for Moving from Computing Student to Professional

Collection

2023 ASEE Annual Conference & Exposition

Authors

Rachel Field, Morgan State University; Steven J. Fuller; Edward Dillon, Morgan State University

Tagged Divisions

Computers in Education Division (COED)

. Urness. “Using interview questions as short-term programming assignments in CS2.” Journal of Computing Sciences in Colleges, 32(5), 2017, pp. 170–177.[26] A. N. Washington, L. Burge, M. Mejias, K.Jean-Pierre, and Q. Knox. “Improving undergraduate student performance in computer science at historically black colleges and universities (HBCUs) through industry partnerships.” In Proceedings of the 46th ACM Technical Symposium on Computer Science Education., 2015, pp. 203–206.[27] Yale University. “Office of Career Strategy. The Technical Interview.” https://ocs.yale.edu/channels/the-technical-interview/. Retrieved February 26, 2023.

Conference Session

COED: Cybersecurity Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Sai Sushmitha Sudha; SaiSuma Sudha; Ahmad Y. Javaid, The University of Toledo; Xiaoli Yang

Tagged Divisions

Computers in Education Division (COED)

]. Zakaria, N. & Khalid, F. (2016). The Benefits and Constraints of the Use of Information and Communication Technology (ICT) in Teaching Mathematics, Creative Education, 7, 1537- 1544. http://dx.doi.org/10.4236/ce.2016.711158 [3]. Oxford University Press. (2014). Oxford Online Dictionary. Oxford: Oxford University Press. [Online]. Available: http://www.oxforddictionaries.com/definition/english/Cybersecurity [4]. DHS. (2014). A glossary of common cybersecurity terminology. National Initiative for Cybersecurity Careers and Studies: Department of Homeland Security. [Online]. Available: http://niccs.uscert.gov/glossary[5]. Jaccheri, F. Q. (n.d.). Cybersecurity awareness for children: A systematic literature

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)

prospects,” Science (1979), vol. 349, no. 6245, pp. 255–260, Jul. 2015, doi: 10.1126/science.aaa8415.[3] C. Huyen, “Machine Learning Tools Landscape v2 (+84 new tools),” Dec. 30, 2020. https://huyenchip.com/2020/12/30/mlops-v2.html (accessed Oct. 12, 2022).[4] M.-T. Tai, “The impact of artificial intelligence on human society and bioethics,” Tzu Chi Med J, vol. 32, no. 4, p. 339, 2020, doi: 10.4103/tcmj.tcmj_71_20.[5] “Has the Future Started? The Current Growth of Artificial Intelligence, Machine Learning, and Deep Learning,” Iraqi Journal for Computer Science and Mathematics, pp. 115–123, Jan. 2022, doi: 10.52866/ijcsm.2022.01.01.013.[6] H. Khalajzadeh, M. Abdelrazek, J. Grundy, J. Hosking, and Q. He, “A Survey of

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

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Diversity

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Computers in Education Division (COED)

strategy (guessing and checking or mental math) is being used by thestudent. A low ratio would imply guessing at work while high ratio would indicate otherwise. SeeSection 3 and Figure 4 for representative sample plots for the strategies. The algorithm picks twovectors a and b randomly, such that, a =< n, m > and b =< p, q >. Then the other two vectors cand d are chosen to be linearly dependent on them, c = ka and d = jb. Based on these the goalposition is fixed as xc + yd which is the ideal solution to the given puzzle. However, xka + yd,xc + ylb, and xka + ylb are other possible solutions. Apart from the vectors chosen by the player,the scalars also affect the output, and therefore, sign(x), sign(y), sign(xk), sign(yj) play

Conference Session

COED: Computing in K-12 / Early Childhood Education

Collection

2023 ASEE Annual Conference & Exposition

Authors

Martha Lucia Cano, Pontificia Universidad Javeriana, Bogotá, Columbia ; Alejandro Castro Martinez, Pontificia Universidad Javeriana, Bogotá, Columbia; Jairo Alberto Hurtado JAH, Pontificia Universidad Javeriana, Bogotá, Columbia ; Eduardo Rodriguez Mejia, Pontificia Universidad Javeriana, Bogotá, Columbia

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Diversity

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Computers in Education Division (COED)

Economic Forum, “The Future of Jobs Report 2020,” Oct. 2020. [Online]. Available: https://www3.weforum.org/docs/WEF_Future_of_Jobs_2020.pdf[2] A. Benešová and J. Tupa, "Requirements for Education and Qualification of People in Industry 4.0," Procedia Manufacturing, vol. 11, pp. 2195-2202, 2017, doi: 10.1016/j.promfg.2017.07.366.[3] J. M. Wing, "Computational thinking," Communications of the ACM, vol. 49, no. 3, pp. 33-35, 2006, doi: 10.1145/1118178.1118215.[4] Wing, J. Research notebook: Computational thinking—What and why. The link magazine, 6, 20-23.[5] Y. B. Kafai, Q. Burke, and M. Resnick, Connected Code: Why Children Need to Learn Programming, 1st ed. (The John D. and Catherine T. MacArthur

Conference Session

Computer Engineering Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Timothy Sellers, Mississippi State University; Tingjun Lei, Mississippi State University; Chaomin Luo, Mississippi State University; Gene Eu Jan; Zhuming Bi, Purdue University, Fort Wayne

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Diversity

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Computers in Education Division (COED)

(TALE). IEEE, 2015, pp. 72–76. [7] K. W. Van Treuren, “Applying active learning to an introductory aeronautics class,” in 2018 ASEE Annual Conference & Exposition, 2018. [8] C. R. Compeau, A. Talley, and P. Q. Tran, “Active learning in electrical engineering: Measuring the difference,” in 2019 ASEE Annual Conference & Exposition, 2019. [9] F. Portela, “A new and interactive teaching approach with gamification for motivating students in computer science classrooms,” in First International Computer Programming Education Conference (ICPEC 2020). Schloss Dagstuhl-Leibniz-Zentrum f¨ur Informatik, 2020.[10] G. S. Tewolde, “Effective active learning tools for an embedded systems course,” in 2017 IEEE Frontiers in Education

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ibukun Samuel Osunbunmi, Pennsylvania State University; Stephanie Cutler, Pennsylvania State University; Viyon Dansu, Florida International University; Yashin Brijmohan, University of Nebraska, Lincoln; Bolaji Ruth Bamidele, Utah State University; Abasiafak Ndifreke Udosen, Purdue University, West Lafayette; Lexy Chiwete Arinze, Purdue University, West Lafayette; Adurangba Victor Oje, University of Georgia; Deborah Moyaki, University of Georgia; Melissa J Hicks, Pennsylvania State University; Bono Po-Jen Shih, Pennsylvania State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

listed as author on research papers: many scientists disapprove,” Nature, vol. 613, no. 7945, pp. 620–621, Jan. 2023, doi: 10.1038/d41586-023- 00107-z.[32] H. H. Thorp, “ChatGPT is fun, but not an author,” Science, vol. 379, no. 6630, pp. 313–313, Jan. 2023, doi: 10.1126/science.adg7879.[33] Venkatesh, Morris, and Davis, “User Acceptance of Information Technology: Toward a Unified View,” MIS Q., vol. 27, no. 3, p. 425, 2003.[34] J. Southworth et al., “Developing a model for AI Across the curriculum: Transforming the higher education landscape via innovation in AI literacy,” Comput. Educ. Artif. Intell., vol. 4, p. 100127, Jan. 2023, doi: 10.1016/j.caeai.2023.100127.[35] T. Farrelly and N. Baker, “Generative Artificial

Conference Session

Simulations and Virtual Learning

Collection

2024 ASEE Annual Conference & Exposition

Authors

J Cecil, Oklahoma State University

Tagged Divisions

Computers in Education Division (COED)

., Chang, T. J. & Dinh, H. Q. (2007). Appalachian tycoon: an environmental education game in second life. In D. Livingstone & J. Kemp (Eds), Proceedings of the Second Life Education Workshop 2007 (pp. 72–76). Chicago, IL. Retrieved on January 3, 2012 from www.simteach.com/slccedu07proceedings.pdf[18] Ligorio, M. B. & van Veen, K. (2006). Constructing a successful cross-national virtual learning environment in primary and secondary education. AACE Journal, 14, 103–128.[19] Clark, D., Nelson, B., Sengupta, P. & D’Angelo, C. (2009). Rethinking science learning through digital games and simulations: Genres, examples, and evidence. Invited Topic Paper in the Proceedings of The National Academies Board