Conference Session

DSA Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Fengbo Ma, Northeastern University; Xuemin Jin, Northeastern University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

𝑡−1 (11) 𝑟𝑡 = ∑ 𝑟 + 𝑟𝑎𝑐𝑐 . 𝑖=0We use the following two agent algorithms to the environment in our study. The first algorithm iscalled Deep Q-Networks (DQN). It is an extension of Q-learning that uses deep neural networks toapproximate the Q-value function. This works with discrete observation space and discrete actionspace. The key equation for DQN involves updating the weights of the neural network to minimizethe loss function, which is typically the mean squared error between the predicted Q-values and thetarget Q-values. The function for DQN can be expressed as [20] 𝑄(𝑠𝑡 , 𝑎𝑡

Conference Session

DSA Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Yiming Zhang, The University of Arizona; Gregory L. Heileman, The University of Arizona; Ahmad Slim, The University of Arizona; Husain Al Yusuf, The University of Arizona

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

| xi = 0, 1 ≤ i ≤ n} can be found, such that wi · xi ≤ S − W and xi ∈ {0, 1}. i=1Optimization AlgorithmIn this section, an optimization algorithm that makes use of 0−1 integer programming is describedto address the OTP problem. Consider that the catalog of the starting school contains p courses,denoted a1 , . . . , ap , and the catalog of the destination school contains q courses, denoted b1 , . . . , bq .Let cr[i] denote the credit hours associated with course i. To determine the set of courses that willbe included in the curriculum at the starting school, a p × 1 binary-valued assignment matrix isdefined as follows, 1; if course

Conference Session

DSA Technical Session 7

Collection

2024 ASEE Annual Conference & Exposition

Authors

Harpreet Auby, Tufts University; Namrata Shivagunde, University of Massachusetts, Lowell; Anna Rumshisky, University of Massachusetts, Lowell; Milo Koretsky, Tufts University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

] J. Saldaña, The Coding Manual for Qualitative Researchers. SAGE Publications, 2021.[27] M. B. Miles, A. M. Huberman, and J. Saldana, Qualitative Data Analysis: A Methods Sourcebook. SAGE Publications, 2018.[28] J. W. Creswell and C. N. Poth, Qualitative Inquiry and Research Design: Choosing Among Five Approaches, 4th ed. SAGE, 2018.[29] OpenAI, “GPT-4 Technical Report.” arXiv, Mar. 27, 2023. doi: 10.48550/arXiv.2303.08774.[30] A. Q. Jiang et al., “Mixtral of Experts.” arXiv, Jan. 08, 2024. doi: 10.48550/arXiv.2401.04088.[31] L. O. P. Rivard, “A review of writing to learn in science: Implications for practice and research,” J. Res. Sci. Teach., vol. 31, no. 9, pp. 969–983, 1994, doi: 10.1002/tea

Conference Session

DSA Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Xiang Zhao, Alabama A&M University; Mebougna L. Drabo, Alabama A&M University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA), Diversity

Environments of Research to Practices in Engineering Education. In 2018 IEEE Frontiers in Education Conference (FIE) (pp. 1-6). IEEE. 9. Aqlan, F., & Nwokeji, J. C. (2018, October). Applying product manufacturing techniques to teach data analytics in industrial engineering: a project based learning experience. In 2018 IEEE Frontiers in Education Conference (FIE) (pp. 1-7). IEEE. © American Society for Engineering Education, 202410. Bonfert-Taylor, P., Ray, L., Pauls, S., Loeb, L., Sankey, L., Busch, J., & Hickey, T. (2022, August). Infusing Data Science into the Undergraduate STEM Curriculum. In 2022 ASEE Annual Conference & Exposition.11. Greer, T., Hao, Q., Jing, M., & Barnes, B

Conference Session

DSA Technical Session 5

Collection

2024 ASEE Annual Conference & Exposition

Authors

Duo Li, Shenyang Institute of Technology; Elizabeth Milonas, New York City College of Technology; Qiping Zhang, Long Island University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

IEEE Global Engineering Education Conference (EDUCON), pp. 1329-1336, IEEE, 2021.[2]. B. A. Quismorio, M. A. D. Pasquin, and C. S. Tayco, "Assessing the alignment of Philippine higher education with the emerging demands for data science and analytics workforce," PIDS Discussion Paper Series, 2019, no. 2019-34.[3]. M. Almgerbi, A. De Mauro, A. Kahlawi, and V. Poggioni, "A systematic review of data analytics job requirements and online-courses," Journal of Computer Information Systems, vol. 62, no. 2, pp. 422-434, 2022.[4]. E. Milonas, Q. Zhang, and D. Li, "Do Undergraduate Data Science Program Competencies Vary by College Rankings?" In Proceedings of the 2022 ASEE Annual Conference & Exposition, Minneapolis, MN

Conference Session

DSA Technical Session 8

Collection

2024 ASEE Annual Conference & Exposition

Authors

Amirreza Mehrabi, Purdue Engineering Education; Jason Morphew, Purdue University, West Lafayette

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

adaptive assessment modelsto account for these effects, such endeavors will contribute to the development of more equitableand effective educational testing methodologies.References[1] D. M. Olsson and L. S. Nelson, “The nelder-mead simplex procedure for functionminimization,” Technometrics, vol. 17, no. 1, pp. 45–51, 1975, doi:10.1080/00401706.1975.10489269.[2] D. B. Wilson and A. Borgmann, “Technology and the Character of Contemporary Life: APhilosophical Inquiry,” Technol Cult, vol. 27, no. 4, p. 907, Oct. 1986, doi: 10.2307/3105376.[3] S. Stark, “Using action learning for professional development,” Educ Action Res, vol. 14,no. 1, pp. 23–43, 2006, doi: 10.1080/09650790600585244.[4] P. Gbadago, S. N. Amedome, and B. Q. Honyenuga

Conference Session

DSA Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Aidan Kenny, Northeastern University; Andrew L Gillen, Northeastern University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA), Diversity

Press, 2018. [2] P. Fox and J. Hendler, “Changing the Equation on Scientific Data Visualization,” Science, vol. 331, no. 6018. American Association for the Advancement of Science (AAAS), pp. 705–708, Feb. 11, 2011. doi: 10.1126/science.1197654. [3] Q. Li, “Data visualization as creative art practice,” Visual Communication, vol. 17, no. 3. SAGE Publications, pp. 299–312, Apr. 17, 2018. doi: 10.1177/1470357218768202. [4] W. E. B. (William E. B. Du Bois), “A series of statistical charts illustrating the condition of the descendants of former African slaves now in residence in the United States of America,” Library of Congress, https://www.loc.gov/pictures/item

Conference Session

DSA Technical Session 7

Collection

2024 ASEE Annual Conference & Exposition

Authors

Isil Anakok, Virginia Polytechnic Institute and State University; Kai Jun Chew, Embry-Riddle Aeronautical University, Daytona Beach; Holly M Matusovich, Virginia Polytechnic Institute and State University; Andrew Katz, Virginia Polytechnic Institute and State University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

. 0, no. 0, pp. 1–17, 2023, doi: 10.1080/10494820.2023.2253861.[2] T. K. F. Chiu, Q. Xia, X. Zhou, C. S. Chai, and M. Cheng, “Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education,” Comput. Educ. Artif. Intell., vol. 4, p. 100118, 2023, doi: 10.1016/j.caeai.2022.100118.[3] T. K. F. Chiu, “Future research recommendations for transforming higher education with generative AI,” Comput. Educ. Artif. Intell., vol. 6, p. 100197, Jun. 2024, doi: 10.1016/j.caeai.2023.100197.[4] A. Smolansky, A. Cram, C. Raduescu, S. Zeivots, E. Huber, and R. F. Kizilcec, “Educator and Student Perspectives on the Impact of Generative AI on Assessments in Higher

Conference Session

DSA Technical Session 6

Collection

2024 ASEE Annual Conference & Exposition

Authors

Emily Nutwell, The Ohio State University; Thomas Bihari, The Ohio State University; Thomas Metzger, The Ohio State University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA), Diversity

topics through analysis of Q&A communities,” in Proceedings of the 51st ACM Technical Symposium on Computer Science Education, in SIGCSE 2020. New York, NY, USA: Association for Computing Machinery, 2020, pp. 192–198. doi: 10.1145/3328778.3366817.[15] ACM and IEEE Computer Society, Computer Science Curricula 2013: Curriculum Guidelines for Undergraduate Degree Programs in Computer Science. New York, NY, USA: Association for Computing Machinery, 2013.[16] “Ohio Supercomputer Center.” Accessed: Jan. 16, 2019. [Online]. Available: https://www.osc.edu/[17] J. S. Saltz, “CRISP-DM for data science: Strengths, weaknesses and potential next steps,” in Proceedings - 2021 IEEE International Conference on Big Data, Big Data

Conference Session

DSA Technical Session 5

Collection

2024 ASEE Annual Conference & Exposition

Authors

Nicolas Leger, Florida International University; Maimuna Begum Kali, Florida International University; Stephanie Jill Lunn, Florida International University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

Conference Session

DSA Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ben D Radhakrishnan, National University; James Jay Jaurez, National University; Nelson Altamirano, National University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA), Diversity

Conference Session

DSA Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ahmad Slim, The University of Arizona; Gregory L. Heileman, The University of Arizona; Husain Al Yusuf, The University of Arizona; Yiming Zhang, The University of Arizona; Asma Wasfi; Mohammad Hayajneh; Bisni Fahad Mon, United Arab Emirates University; Ameer Slim, University of New Mexico

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)