The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Integrating Machine Learning to Undergraduate Engineering Curricula Through Project-Based Learning
Abstract
This innovative practice work-in-progress paper presents the design and implementation of a series of curriculum changes made through project-based learning approach, in order to integrate applied machine learning technology to existing undergraduate engineering curricula.
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“The senior project developed by [35] offers students additional opportunities to apply ML technologies.”
From Integrating AI in engineering education: A comprehensive review and student-informed module design for U.K. students (2025) · cites this paper as [35]
Citations
Cites
Data Mining: Practical Machine Learning Tools and Techniques
Witten, I. H., Frank, E., & Hall, M. A. (2011) · Elsevier eBooks · doi:10.1016/c2009-0-19715-5 · Cited by 25,544
Inductive Teaching and Learning Methods: Definitions, Comparisons, and Research Bases
Prince, M. J., & Felder, R. M. (2006) · Journal of Engineering Education · doi:10.1002/j.2168-9830.2006.tb00884.x · Cited by 2,651
Project-Based Learning for the 21st Century: Skills for the Future
Bell, S. (2010) · The Clearing House A Journal of Educational Strategies Issues and Ideas · doi:10.1080/00098650903505415 · Cited by 2,489
A REVIEW OF RESEARCH ON PROJECT-BASED LEARNING
Thomas, J. W. (2000) · Cited by 2,287
Machine-learning approaches in drug discovery: methods and applications
Lavecchia, A. (2014) · Drug Discovery Today · doi:10.1016/j.drudis.2014.10.012 · Cited by 822
Application of machine learning techniques for supply chain demand forecasting
Carbonneau, R. A., Laframboise, K., & Vahidov, R. M. (2007) · European Journal of Operational Research · doi:10.1016/j.ejor.2006.12.004 · Cited by 766
Machine Learning in Materials Science
Mueller, T., Kusne, A. G., & Ramprasad, R. (2016) · Reviews in computational chemistry · doi:10.1002/9781119148739.ch4 · Cited by 328
Implementation and Assessment of Project-Based Learning in a Flexible Environment
Doppelt, Y. (2003) · International Journal of Technology and Design Education · doi:10.1023/a:1026125427344 · Cited by 310
Huang, L., & Ma, K.-S. (2018) · IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie.2018.8659308 · Cited by 30
Self-citation
Research works printed but not linked: 3
- condliffe, 2017, Project-based learning, a literature review – working paper, Information Analyses Reports
- 2018, Criteria for Accrediting Engineering Programs 2019- 2029, 5
- mills, 2003, Engineering education—Is problem-based or project-based learning the answer, Australasian Journal of Engineering Education, 3 2, 2
Cited by
Sorted by citations
Hao, Y., Liu, Y., Liu, B., Amarantidis, G., & Ghannam, R. (2025) · IEEE Transactions on Education · doi:10.1109/te.2025.3536105 · Cited by 32
“The senior project developed by [35] offers students additional opportunities to apply ML technologies.”
Brüngel, R., Rückert, J., & Friedrich, C. M. (2020) · IEEE International Conference on Software Engineering Education and Training (CSEE&T) · doi:10.1109/cseet49119.2020.9206229 · Cited by 29
Zhu, Y., Ye, Z., Yuan, Y., Tang, W., Yu, C., & Shi, Y. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3714261 · Cited by 23
Akter, M. S., Shahriar, H., Ahamed, S. I., Gupta, K. D., Rahman, M. S., Mohamed, A., Rahman, M. A., Rahman, A., & Wu, F. (2023) · IEEE Annual International Computer Software and Applications Conference (COMPSAC) · doi:10.1109/compsac57700.2023.00161 · Cited by 21
Ntunka, M. G., Maladzhi, R. W., Mthombeni, N. H., & Nemavhola, F. J. (2024) · World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC) · doi:10.1109/weef-gedc63419.2024.10854923 · Cited by 8
Qu, X., Key, M. L., Luo, E., & Qiu, C. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-76827-9_8 · Cited by 7
Rahman, M. M., Barek, M. A., Akter, M. S., Riad, A. K. I., Rahman, M. A., Shahriar, H., Rahman, A., & Wu, F. (2024) · IEEE Annual International Computer Software and Applications Conference (COMPSAC) · doi:10.1109/compsac61105.2024.00388 · Cited by 6
Kılıç, S. (2022) · Informatics in Education · doi:10.15388/infedu.2023.04 · Cited by 6
Mustafa, M., Rochim, A. F., & Nurhayati, O. D. (2023) · International Conference on Industrial Engineering and Operations Management (IEOM) · doi:10.46254/an12.20221073 · Cited by 4
Liu, P. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-76815-6_10 · Cited by 3
MAPLE Model: A Blended ARCS-PSIS Approach to Enhance Gen-Z Engagement in Core Engineering Courses
Kendaganna Swamy, S., Kappali, H. R., Manjunath, G., Shilpa, K., Sadyojatha, K. M., & Rajasree, M. (2026) · Journal of Engineering Education/Journal of engineering education transformations/Journal of engineering education transformation · doi:10.16920/jeet/2026/v39is2/26029 · Cited by 1
Brüngel, R., Bracke, B., Rückert, J., & Friedrich, C. M. (2023) · IEEE German Education Conference (GECon) · doi:10.1109/gecon58119.2023.10295130 · Cited by 1
Shvedchykova, I., Burger, W., & Soloshych, I. O. (2023) · IEEE International Conference on Modern Electrical and Energy System (MEES) · doi:10.1109/mees61502.2023.10402542 · Cited by 1
Full Paper: Introducing Machine Learning to First Year Engineering Students
Stone, J., Milner, F., & Roberts-Weigert, S. (2024) · First-Year Engineering Experience Conference (FYEE) · doi:10.18260/1-2--44829 · Cited by 1
WIP: A Brief Introduction of Deep Learning and IoT to Freshman Engineering Students
Wang, C. (2024) · ASEE Annual Conference & Exposition · doi:10.18260/1-2--40573
Developing an introductory machine learning course
Crockett, C. (2025) · ASEE Annual Conference & Exposition · doi:10.18260/1-2--56255
Introducing Engineering Students to Machine Learning via Hands-on Wind Turbine Experiments
Wulandana, R., Gardner, B., & Banerjee, S. (2026) · ASEE Middle Atlantic Section Spring Conference · doi:10.18260/1-2--58464
Metadata
- Authors
- Huang, L.
- Affiliations
- Loyola Marymount University (US)
- Corresponding author
- Huang, Lei
- ORCID
- Huang, Lei
- Venue
- 2019 IEEE Frontiers in Education Conference (FIE)
- Publisher
- IEEE
- Published
- 2019-10
- Volume
- 2019
- Pages
- 1-4
- ISSN
- 0190-5848 (ISSN-L)
- OpenAlex
- W3012273758
- Cited by
- 14
- References
- 9
- Citations by year
- 2025: 2 · 2024: 6 · 2023: 4 · 2022: 1 · 2020: 1
- FWCI
- 2.68
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Frontiers in Education Conference (FIE) (publishedVersion)
- IEEE Conference Proceedings
- Topics
- Social Sciences › Education › Problem and Project Based Learning
- Social Sciences › Education › Engineering Education and Pedagogy
- Social Sciences › Education › Engineering Education and Curriculum Development
- Keywords
- machine learning education, undergraduate engineering curriculum, project-based learning, curriculum development, applied machine learning, engineering education reform
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