Conference Session

Student Success in ET

Collection

2024 ASEE Annual Conference & Exposition

Authors

Gretchen Dietz, University of North Carolina at Charlotte; Jordan C Bullington-Miller

Tagged Topics

Diversity

Tagged Divisions

Engineering Technology Division (ETD)

programs, and mentors. For FGS in engineering majors, many of the studies thatwere conducted looked at the barriers for FGS and posed the research in a deficit model. We aimto reframe this mindset and look at the capital and assets that FGS possess and how they navigatestructures of engineering. We also want to understand what culture and support leads to successin engineering. Martin et al. [13] began the turn in questioning the “deficit” framing of thisgroup. We aim to build on this research with our study. We will use mixed methods tounderstand their experiences and the capital, beyond networks, that they used to persist inengineering. Building off of Martin et al.’s [13], [14], [40] work, this project focuses on identitydevelopment alongside

Conference Session

Educational Research and Methods Division (ERM) Technical Session 24

Collection

2024 ASEE Annual Conference & Exposition

Authors

Bradley J. Sottile, The Pennsylvania State University

Tagged Divisions

Educational Research and Methods Division (ERM)

) and macroethical situations (e.g., anengineering profession’s social responsibility considered collectively) (Herkert, 2005). Thisexists against a backdrop of increased attention on companies’ efforts on corporate socialresponsibility (CRS), given that “companies perform their CSR duty to fulfill their socialobligations not only to extend their market reach but also as a strategy to fulfill the socialobligation[s] placed on firms by society” (Lin, Banik, & Yi, 2016, p. 108). Looking at these side-by-side, it is almost unsurprising that some researchers such as Smith et al. (2021) would call forthe need for grounding engineering ethics education around CRS efforts to enhance students’ roleethics.Codes of ethics arise frequently in

Conference Session

MECH - Technical Session 9: Advanced Mechanical Engineering Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

David A. Copp, University of California, Irvine

Tagged Divisions

Mechanical Engineering Division (MECH)

descriptive statistics, and t-tests were performed to compareresponses from the midterm survey to responses from the end of term survey. The quantitativeresults from questions Q1-Q4 are shown in Figures 2–5, and the responses to the open-endedquestion Q5 are discussed below. (a) Responses (b) Statistics (p = 0.195).Figure 2: Responses to Q1: “The specifications grading scheme helps me learn in this course.”In (b), the red line indicates the median, the blue circle indicates the mean, the top and bottomedges of the box indicate the 25th and 75th percentiles, and the whiskers extend to data points notconsidered to be outliers. Outliers, if they exist, are plotted as red +’s. Responses from the

Conference Session

Computers in Education General Technical Session II

Collection

2011 ASEE Annual Conference & Exposition

Authors

Mihaela Vorvoreanu, Purdue University; Quintana Clark, Purdue University; Geovon Boisvenue, Purdue University; Stephen Paul Woodall, Purdue University

Tagged Divisions

Computers in Education

network. Page 22.1306.12References: 1. cross-tab. (2009). Online Reputation in a Connected World. Retrieved from: http://www.microsoft.com/privacy/dpd/ 2. Palfrey, J., & Gasser, U. (2008). Born Digital: Understanding the First Generation of Digital Natives. Philadelphia: Basic Books. 3. Hoofnagle, C. J., King, J., Li, S., & Turrow, J. (2010). How different are young adults from older adults when it comes to information privacy attitudes and policies Retrieved from: http://ssrn.com/abstract=1589864 4. Debatin, B., Lovejoy, J. P., Horn, A.-K., & Hughes, B. N. (2009

Conference Session

Assessment Methods and Learning Pedagogy II

Collection

2011 ASEE Annual Conference & Exposition

Authors

Melissa I. Zelaya, Clemson University; Melissa Dorlette-Paul, Clemson University; Elaine L. Craft, Florence-Darlington Technical College; Anand K. Gramopadhye, Clemson University; Carey W. Castle, Greenville Technical College

Tagged Divisions

Engineering Technology

Release v. 2 http://www.economicmodeling.com/ accessed October 15, 2008.[15]. G.E Hoachlander, and R.D. Mandel, Developing Materials for Industry Based Education, NSF-ATE, (2002).[16]. H.W. Hodgins, Into the Future: A Vision paper, Produced for the Commission on Technology and Adult Learning co-sponsored by ASTF and the National Governors Association, (2000).[17]. Greenville Technical College, Office of Planning and Grants. 2002 Fact Book and 2001 Fact Book.[18]. A.K. Gramopadhye, B.J. Melloy, S. Chen, J. Bingham, Use of Computer Based Training for Aircraft Inspectors: Findings and Recommendations, In Proceedings of the HFES/IEA Annual Meeting, San Diego, CA, (2000).[19]. R. Held, and N. Durlach, Telepresence, Time Delay and

Conference Session

NSF Grantees Poster Session

Collection

2011 ASEE Annual Conference & Exposition

Authors

Zhigang Shen, University of Nebraska-Lincoln; Yimin Zhu, Florida International University

Tagged Topics

NSF Grantees

; Development, Vol. 50, No. 3, pp. 5-22. [6] Hong, N. S., Jonassen, D. H., and McGee, S. (2003). “Predictors of well-structured and ill-structured problem solving in an astronomy simulation.” Journal of Research in Science Teaching, Vol. 40, No. 1, pp. 6–33. [7] Jacobson, M. (2000). “Problem solving about complex systems: Difference between expert and novices.” In B. Fishman and S. O’Connor-Divelbiss (Eds.), Fourth International Conference of the Learning Science, Erlbaum Publishing, Mahwah, NJ. [8] Hmelo-Silver, C. and Pfeffer, M. G. (2004). “Comparing expert and novice understanding of a complex system from the perspective of structures, behaviors, and functions.” Cognitive Science, Vol. 28, pp. 127 -138. [9] Smith

Conference Session

Thermodynamics, Fluids, and Heat Transfer-Part I

Collection

2010 Annual Conference & Exposition

Authors

Simin Hall, College of Engineering at Virginia Tech; Catherine Amelink, Virginia Tech; Sam Conn, Virginia Tech

Tagged Divisions

Mechanical Engineering

defined self-regulated learningas “learning that results from students‟ self-generated thoughts and behaviors that aresystematically oriented toward the attainment of their learning goals” (p. 125). In addition,Bandura9 showed that self-efficacy beliefs impact performance because these beliefs representpeople‟s perception of their capabilities to perform a task at designated levels. These researchershave provided empirical data on causal or correlational relationships between self-efficacy andepistemic beliefs and self-regulated behaviors and performance in subjects such as mathematics5,10 .During problem solving, students assess the difficulty of the task while disambiguating theimportant from irrelevant information. According to Jonassen11

Conference Session

ELD Poster Session

Collection

2010 Annual Conference & Exposition

Authors

Nestor Osorio, Northern Illinois University

Tagged Divisions

Engineering Libraries

sources for engineering and technologyinformation. The paper is divided into five sections: J.B. Johnson: an Engineer, Scholar, Pioneerin Informatics and Humanist; The First Years up to the 1950’s; The Sixties and Seventies; The1980’s through 2009; and The Ei Village and its Creator John Regazzi. Each section describesmajor changes, improvements, management and editorial decisions introduced. It also presentssome information on the people that have made The Engineering Index (Compendex) a valuableresource such as J.B. Johnson, Bill M Woods, John E. Creps, and John Regazzi.IntroductionThe prominence of The Engineering Index as a technical and scientific information service hasbeing recognized through the years. In 1976, Mildren1 described it as

Conference Session

College-Industry Partnerships: Bringing Industry into the Curriculum Development and Design Cycle

Collection

2010 Annual Conference & Exposition

Authors

Waddah Akili, Iowa State University

Tagged Divisions

College-Industry Partnerships

defined a series of objectives for adesign project than the designer- whether in a consulting office or in a classroom- want to findout what the customer really wants. Questions such as: what is an economic project? How doyou define the best design? What is a safe design? What are the factor(s) that will affect thedesign the most? Phrasing it differently, knowledge resides in the questions that can be asked andthe answers that can be provided (2) .A sequence of inquiry characterized by a hierarchy: certainquestions need to be asked and answered before other questions can be asked. There is a setprocedure which constitutes the inquiry process in an epistemological context. Taxonomies ofsuch a procedure or inquiry process have been extended to

Conference Session

Track 4 - Session II - Student and Curriculum Development II

Collection

2013 ASEE International Forum

Authors

Ashley Ater Kranov, ABET, Inc.; Rochelle Letrice Williams, ABET; Patrick D. Pedrow P.E., Washington State University; Edwin R. Schmeckpeper, Norwich University; Steven W. Beyerlein, University of Idaho, Moscow; Jay Patrick McCormack, Rose-Hulman Institute of Technology

Tagged Topics

Student and Curriculum Development

Effectively 3h Understanding of the Impact of Engineering Solutions in Global, Economic, Environmental, and Cultural/Societal Contexts 3i Recognition of and Ability to Engage in Life-Long Learning 3j Knowledge of Contemporary IssuesThe EPSA method is a discussion-based performance task designed to elicit students’ knowledgeand application of engineering professional skills. In a 45-minute session, small groups ofstudents are presented with a complex, real-world scenario that includes multi- faceted,multidisciplinary engineering issues. They are then asked to determine the most importantproblem/s and to discuss stakeholders, impacts, unknowns, and possible solutions. The EPSRubric, an analytic rubric, was developed to measure the extent to which

Conference Session

Track 4 - Session II - Student and Curriculum Development II

Collection

2013 ASEE International Forum

Authors

Brent K Jesiek, Purdue University, West Lafayette; Qin Zhu, Purdue University; Julia D Thompson, Purdue University, West Lafayette; Andrea Mazzurco, Purdue University, West Lafayette; Sang Eun Woo, Purdue University

Tagged Topics

Student and Curriculum Development

our researchsubjects. The categories and codes are being refined iteratively using both inductive anddeductive approaches, which allow us to leverage our prior knowledge of the domain of interestas well as our growing familiarity with the collected data. The current categories include: • National Cultures Involved: Including host location and culture, and guest culture(s). • Situation-Motivation: The main reason or motivation for the situation or case, such as ex- patriate assignment, greenfield plant start-up, cross-national collaborative project, etc. • Situation-Cultural Dimensions: Relevant cultural dimensions evident in the case, such as those drawn from Hofstede’s work (e.g., power distance, individualism vs

Conference Session

Internet Computing and Networking

Collection

2005 Annual Conference

Authors

Gholam Ali Shaykhian

approach.Object-oriented methodologiesThe usage of object-oriented methodology in constructing engineering and businessapplications has grown exponentially since the early 90’s. Object-oriented softwaredesign focuses on objects versus functions and functional decompositions. An object isintroduced as a distinct entity, containing its data and functions. The main features ofobject-oriented methodology are encapsulation, inheritance and polymorphism.Encapsulation refers to wrapping object attributes and behaviors in an enclosed entity,inheritance deals with object reuse, and polymorphism concerns with object havingaccess to a behavior where the knowledge to the access is known at runtime.ObjectObject encapsulates the attributes (data or member data) and

Conference Session

Developing ABET Outcomes F--J

Collection

2002 Annual Conference

Authors

Karim Nasr; Raymond Berg

outcomes L-S based onprofessional societies input and departmental requirements. In preparing for this new curriculumand related assessment practices, the senior-level M. E. capstone design course “Plant andFacilities Design” was selected in October 2000 as a pilot course, for the development of thestudent capstone portfolio concept and the capstone outcomes assessment process.In particular, the M. E. Department wished to determine best methods of demonstratingachievement of seven “difficult” or “non-traditional” program educational outcomes which havenot classically been “taught” as part of the M. E. curriculum. These include: 1) an ability tofunction on multidisciplinary teams; 2) an understanding of professional and ethicalresponsibility; 3

Collection

ASEE Mid-Atlantic Section Spring Conference

Authors

Alexander John De Rosa, University of Delaware; Teri Kristine Reed, OU Polytechnic Institute

such as GPAs, scores in prior courses from which the knowledge is to betransferred, etc. To date however, this has not been done. Finally, the think aloud methodologyused in this study has been shown in the past to positively influence student performance suchthat this activity may overestimate actual student performance “in the field” (Gagne et al., 1962;Davis et al., 1968).4. Presentation of DataThis paper presents data taken from the analysis of a single interview from this study. In this casea faculty member in a mechanical engineering department was the participant. Two main themesemerged in the analysis of the data; (1) the extensive use of reflection by the participant inevaluating their problem solving approach and solution(s); (2) the

Collection

2024 PNW Section Annual Meeting

Authors

Jennifer I. Clark; Sage Kittelman; Faqeer ur Rehman; Molly R. Schmitt

the response, the next prompt (as shown in Figure 2.4(b)) is prepared to classify the students’ responses into the given categories. The prompt provides clear and specific information (as a context) for guiding ChatGPT response, i.e., assigning the persona, the categories to which the responses should be classified, the question(s) for which the student responses are collected, giving enough time for the model to think, and explicitly mentioning the boundaries in case the model is not sure about prediction for any of the fed students’ responses. Figure 2.4(a): Providing Bandura’s research work as a context. Figure 2.4(b): Prompt prepared for data classification. 2) In the second prompt, we have included

Conference Session

Track 6: Technical Session 2: Enhancing the Cultural Competence of K-12 STEM Teachers through a Global Research Experience

Collection

2024 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Margaret Pinnell, University of Dayton; Leanne Petry, Central State University; Kelly Bohrer, University of Dayton; Kellie Schneider, University of Dayton; Marjorie Langston Langston; Elizabeth Generas

Tagged Topics

CoNECD Paper Sessions, Diversity

, University of Dayton Kelly Bohrer is the Executive Director of the ETHOS Center, a community engagement center connecting students, faculty, and staff with NGOˆa C™s around the world for technical projects as part of immersions, teaching, and scholarly activity. She also is thDr. Kellie Schneider, University of Dayton Kellie Schneider is an Associate Professor in the Department of Engineering Management, Systems, and Technology at the University of Dayton. Prior to joining the faculty at UD, she was an instructor in the Freshman Engineering Program at the University of Arkansas. Her research interests are in the areas of engineering education and community-based operations research.Mrs. Marjorie Langston Langston

Conference Session

Aerospace Division Technical Session 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Scott L. Post, Bradley University

Tagged Divisions

Aerospace

/s) and must decelerate to a speed of 220 mph (100 m/s) at landing. During re-entry, thenose and leading edges of the wings experience temperatures as high as 3000 °F (1650 °C).1One of the major decisions to be made during the shuttle development was the design for thebooster rockets. Options included using liquid or solid-fueled boosters, and whether the boosterswould be expendable or reusable. NASA believed that solid rocket boosters would be lessexpensive to develop, even though they had had higher projected operational costs than liquidboosters. The shuttle was the first manned spacecraft to use solid rockets.1 There is somespeculation that the Air Force pressured NASA to use solid fuel boosters because they wanted todevelop the

Conference Session

Design in Engineering Education (DEED) Engineering Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Waddah Akili, Iowa State University

Tagged Divisions

Design in Engineering Education

? What is a safe design? What are the factor(s) that will affect thedesign the most? Phrasing it differently, knowledge resides in the questions that can be asked andthe answers that can be provided (2) .A sequence of inquiry characterized by a hierarchy: certainquestions need to be asked and answered before other questions can be asked. There is a setprocedure which constitutes the inquiry process in an epistemological context. Taxonomies ofsuch a procedure or inquiry process have been extended to computational models(4) , to theintricacy between asking and learning(5) , and would also apply to the questions students askduring a class and/or tutoring session(6).There are two classes of questions within a design context; the first is the

Conference Session

Design in Engineering Education Division (DEED) - Empathy, Psychological Safety, and Leadership in Engineering Design

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jennifer Howcroft, University of Waterloo; Kate Mercer, University of Waterloo

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education Division (DEED)

embedding empathy in graduateengineering education would also lead to impacts on undergraduate students given graduatestudents’ unique role as both learners and teachers.References[1] “Grand Challenges - 14 Grand Challenges for Engineering.” Accessed: Jan. 30, 2024. [Online]. Available: https://www.engineeringchallenges.org/challenges.aspx[2] J. Walther, S. E. Miller, and N. W. Sochacka, “A Model of Empathy in Engineering as a Core Skill, Practice Orientation, and Professional Way of Being,” Journal of Engineering Education, vol. 106, no. 1, pp. 123–148, 2017, doi: https://doi.org/10.1002/jee.20159.[3] B. Penzenstadler, G. Haller, T. Schlosser, and G. Frenzel, “Soft Skills REquired: A Practical Approach for Empowering Soft Skills in

Conference Session

Virtual Design and Construction (VDC) in Construction Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Luciana Debs, Purdue University; Alex Souza; Fernando Romero Moraes, University of Massachusetts Amherst

Tagged Topics

Diversity

Tagged Divisions

Construction Engineering Division (CONST)

Construction 4.0.Buildings, 13, 2535. https://doi.org/10.3390/buildings13102535.[2] Forcael, E., Ferrari, I., Opazo-Vega, A., & Pulido-Arcas, J. A. (2020). Construction 4.0: A literature review.Sustainability, 12(22), 9755.[3] Karmakar, A., & Delhi, V. S. K. (2021). Construction 4.0: what we know and where we are headed?. Journal ofInformation Technology in Construction, 26.[4] Associated Builders and Contractors (ABC) (2023). ABC 2023 Tech Report. Retrieved January 4, 2024 fromhttps://www.abc.org/Portals/1/ABC_2023_TechReport_web.pdf?ver=-r7DJgKWDeTn-BwOBjj3NQ%3d%3d[5] McKinsey & Company (2023). From start-up to scale-up: Accelerating growth in construction technology(webpage). Retrieved January 4, 2024, from https://www.mckinsey.com

Conference Session

Design in Engineering Education Division (DEED) Technical Session 9

Collection

2023 ASEE Annual Conference & Exposition

Authors

Stephanie Bunt, The Pennsylvania State University; Laura Hinkle; Andrew Walton; Nathan C. Brown

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education Division (DEED)

differences might seem natural before any formal designtraining occurs. They also inform educators about gaps in expected student performance inparametric tools and suggest that pre-designer education should emphasize multidisciplinaryproblem-solving to avoid narrowing student competency for those interested in designprofessions.ACKNOWLEDGEMENTS This material is based upon work supported by the National Science Foundation underGrant #2033332. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.The authors would also like to thank ShapeDiver GmbH for their support in providing theresearch team with access to

Collection

ASEE 2021 Gulf-Southwest Annual Conference

Authors

Tracy Anne Hammond, Texas A&M University; Karan Watson P.E., Texas A&M University; Samantha Ray, Texas A&M University; Robert Harold Lightfoot Jr, Texas A&M University; Drew Steven Casey, Texas A&M University; Shawna Thomas, Texas A&M University

Tagged Topics

Diversity

Conference Session

Idea Generation and Creativity in Design

Collection

2015 ASEE Annual Conference & Exposition

Authors

Colin M. Gray, Iowa State University; Seda McKIlligan, Iowa State University; Shanna R. Daly, University of Michigan; Colleen M. Seifert, University of Michigan; Richard Gonzalez, University of Michigan

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

wasassigned to a different team. This dyad served as a pilot test for the study, and resulted in severalminor modifications to the protocol for the other participants, including having each participanttell a user story for a concept they did not create.User StoryP1 initially told the user story for her own concept, taking on the perspective of a persona theywere provided in class—“Scarlett.” This persona was used to supply many of the contextualdetails included in the user stories, including Scarlett’s occupation, recent move, and love of theoutdoors. The entire user story took around ten minutes to tell, with P2 taking over telling theuser story after P1’s initial attempt in the first several minutes, suggesting: “Maybe this wouldwork better if we

Conference Session

Educational Research and Methods Division (ERM) Technical Session 12

Collection

2024 ASEE Annual Conference & Exposition

Authors

Xiao Ge, Stanford University; Mark Schar, Stanford University; Helen L. Chen, Stanford University; George Toye; Sheri D. Sheppard, Stanford University

Tagged Divisions

Educational Research and Methods Division (ERM)

profile. We highlight some patterns next. Figure 3. Comparison of clusters C2 - C5 based on z-scores of self-efficacy measures. Error bars represent 95% Confidence Intervals (see Table S3.6 & S3.8 for detailed statistics). Figure 4. Comparison of clusters C2 - C5 based on z-scores of workplace factors. Error bars represent 95% Confidence Intervals (see Table S3.6 & S3.9 for detailed statistics).6.2.1 Expected Engineers C3 (29.8% of the sample)Many of C3’s attributes fit the stereotypical image of engineering and suggest that C3 mightdescribe the traditionally-expected engineers. 1. Excelling in engineering tasks: C3 stands outas the only cluster that highly engages with engineering activities

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)

further expand somefields as we know them.There is also a growing body of work looking at data science applications in engineering [6].Although we know it may be applied or beneficial for the broader field and its subfields (e.g.,mechanical, industrial, chemical), we are limited in our understanding of how non-computingengineers may apply it in their work or practice. With that said, it is necessary to understand hownon-computing engineers may apply data science in their work, as this remains a challenge in thefield. In the context of engineering education and practice, Beck et al.’s article suggests addingdata science as a “competency” in chemical engineering both in “the university curriculum or ina professional development context.” They also

Conference Session

Entrepreneurship & Engineering Innovation Division (ENT) Technical Session 6

Collection

2024 ASEE Annual Conference & Exposition

Authors

Nada Elfiki, Stanford University; Helen L. Chen, Stanford University; George Toye; Micah Lande, South Dakota School of Mines and Technology; Felix Kempf, King's College London; Lauren Marie Aquino Shluzas, Stanford University; Sheri Sheppard, Stanford University

Tagged Topics

Diversity

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

engage with potential customers, analyzing the market's reception and financialfeasibility of their ideas. EM13’s reflection on the significance of seeing the broader context,beyond mere problem-solving, underscores this point: “I think what gave me confidence ininnovation and entrepreneurship is understanding the bigger picture. It’s not just solving aproblem, but also trying to sell it to someone, having someone pay for it. […] Askingquestions like: what's the problem you're solving? Who are you solving it for? Why are thealternatives inferior, and why is now the right time to solve this? What’s the marketopportunity?”Expanding on this, integrating this big-picture perspective early in the learning process iscrucial for understanding the

Conference Session

Engineering Leadership Development Division Technical Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Brett Tallman, University of Texas at El Paso; Bryce E. Hughes, Montana State University - Bozeman; William J. Schell

Tagged Topics

Diversity

Tagged Divisions

Engineering Leadership Development Division (LEAD)

division division nal Co-construct Construct rs o Self-authorship Pe knowledge knowledge Discover community al Participate s s ion with guidance Pr of e COP Beginner practice Master & and discourse expertise Belonging LID r

Conference Session

Values in Engineering: Ethics and Justice-Oriented Engineering

Collection

2023 ASEE Annual Conference & Exposition

Authors

Kassandra Fernandez, University of Florida; Sindia M. Rivera-Jiménez, University of Florida

Tagged Topics

Diversity

Tagged Divisions

Liberal Education/Engineering & Society Division (LEES)

Conference Session

Computing and Information Technology Division (CIT) Technical Session 4

Collection

2023 ASEE Annual Conference & Exposition

Authors

Fadhla Binti Junus, Purdue University at West Lafayette (PPI); Sean P. Brophy, Purdue University at West Lafayette (COE)

Tagged Divisions

Computing and Information Technology Division (CIT)

indrawing our conclusion. Nevertheless, this work has an added value as a basis for us toconduct more extensive research in the future. Additionally, academics will have a wideropportunity to explore deep learning to produce more novel educational solutions since ourstudy discovered that only a small number of studies had investigated the application of thisAI technology.References[1] M. King, R. Cave, M. Foden, and M. Stent, “Personalised education From curriculum to career with cognitive systems,” 2016.[2] T. J. Sejnowski, The deep learning revolution. Cambridge: The MIT Press, 2018.[3] J. S. Groff, “Personalized learning: The state of the field & future directions,” 2017. [E-book]. Available: https://dam

Conference Session

Women in Engineering Division (WIED) Technical Session 6

Collection

2023 ASEE Annual Conference & Exposition

Authors

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering Division (WIED)