Chemical Engineering from the University of Dayton and a Ph.D. in Engineering Education from Purdue University. ©American Society for Engineering Education, 2024 Understanding the Skills and Knowledge Emphasized in Undergraduate Industrial Engineering CoursesAbstractIn an effort to characterize how, if at all, required courses in industrial engineering (IE) facilitatestudents’ development of sociotechnical engineering skills, this research examined the generalcontent of required IE courses at a large, predominantly white institution in the Midwest. Thispaper drew on data generated for a larger research study that leverages Holland et al.'s figuredworlds framework to explore the messaging that
:10.1371/journal.pone.0248925[3] K. Hu, K. Godfrey, Q. Ren, S. Wang, X. Yang, and Q. Li, “The impact of the COVID-19 pandemic on college students in USA: Two years later,” Psychiatry Research, vol. 315, p. 114685, Sep. 2022, doi: 10.1016/j.psychres.2022.114685.[4] M. Mailizar, D. Burg, and S. Maulina, “Examining university students’ behavioural intention to use e-learning during the COVID-19 pandemic: An extended TAM model,” Educ Inf Technol, vol. 26, no. 6, pp. 7057–7077, Nov. 2021, doi: 10.1007/s10639-021-10557-5.[5] A. D. Dumford and A. L. Miller, “Online learning in higher education: Exploring advantages and disadvantages for engagement,” Journal of Computing in Higher Education, vol. 30, no. 3, pp
Abington, Abington, PA, 19001, USA 2 Institutional Researcher, Penn State Abington, Abington, PA, 19001, USA 3 College of Arts and Sciences, Embry-Riddle Aeronautical University, Prescott, AZ, 86301, USAAbstractAt its essence, collaborative efforts define STEM research. Likewise, one can anticipate thatfostering interdisciplinary collaboration in STEM education will yield positive outcomes. Arecent NSF S-STEM grant has empowered us to formulate and implement integrated courses atPenn State Abington, covering subjects in mathematics, physics, and engineering.Despite calculus being a prerequisite for physics across many undergraduate programs in theUnited States, a
and virtual international project experiences.” Jour. of Int. Engineering Education, vol. 3, no. 1, article 5, 2021.[6] Reddy, E. A., Kleine, M. S., Parsons, M., Nieusma, D. (2023, June) Sociotechnical Integration: What is it? Why do we need it? How do we do it? In 2023 ASEE Conference & Exposition.[7] M. D. Patton, "Beyond WI: Building an Integrated Communication Curriculum in One Department of Civil Engineering," IEEE Transactions on Professional Communication, vol. 51, no. 3, pp. 313-327, 2008[8] J. L. Craig, N. Lerner, and M. Poe, "Innovation Across the Curriculum: Three Case Studies in Teaching Science and Engineering Communication," Professional Communication, IEEE Transactions on
strategies, and give basic bearing life calculations. In practice, roller element bearingsare manufactured in a wide number of variations that are intended for specific conditions of useand specific mounting geometry. Engineering guides from the major bearing vendors containextensive information on proper mounting, allowable loads, and load types, sealing andlubrication, and allowable environment. In practice, engineers use these guides to learn thedetails involved in selection and application of roller bearings. The author contends thateffective use of vendor-supplied engineering guides is a significant skill in engineering practice,in addition to the fundamentals of Machine Design, and is a big missing piece in many curricula.Since the 1950’s, a
. Mehra, D. A. (Denny) Gioia, and S. Borgatti, “Brokering Trust toEnhance Leadership: A Self-Monitoring Approach to Leadership Emergence,” in Knowledgeand Networks, vol. 11, J. Glückler, E. Lazega, and I. Hammer, Eds., in Knowledge and Space,vol. 11. , Cham: Springer International Publishing, 2017, pp. 221–240. doi: 10.1007/978-3-319-45023-0_11.[4] A. Speer, “Quantifying with words An investigation of the validity of narrative‐derivedperformance scores.” Personnel psychology, 2018.[5] X. M. Wang, K. F. E. Wong, and J. Y. Y. Kwong, “The roles of rater goals and rateeperformance levels in the distortion of performance ratings.,” Journal of Applied Psychology,vol. 95, no. 3, pp. 546–561, 2010, doi: 10.1037/a0018866.[6] S. B. Hunter, “The
)Overall Preparedness of UndergraduatesWhen evaluating the overall structural engineering skills of graduates, 72% of practitioners [14]and 83% of educators [15] felt that they were not well prepared to enter the workforce. Clearlythere is still room to improve structural engineering and analysis undergraduate education withrespect to preparing graduates for practice. Looking specifically at structural analysis courses,practitioners and educators agree that traditional classical (“hand”) methods are highly important.But both groups also clearly agree (if not even more strongly) on the importance of studentcompetency in applying the concepts, learned through classical methods, within computerprograms.From the early 1800’s and the first industrial
climate, including norms, values, and prac�ces,the study suggests that the experiences of Black engineers are shaped by the prevailing a�tudes withintheir workplace. This includes the extent to which diversity and inclusion are embraced, the degree ofsupport provided by leadership, and the presence of inclusive policies that consider the uniquechallenges faced by Black professionals (Lukas, Goodman, 2015; Ray, 2019).S�ll, Black wellness is not priori�zed. Research by Dobbin and Kalev (2016) sheds light on the persistentchallenges related to diversity ini�a�ves within organiza�onal structures, par�cularly regarding Blackwellness. The study iden�fies systemic shortcomings that contribute to the neglect of Black well-being,exacerba�ng challenges
the scientific data officer,” Philos. Technol., vol. 33, no. 1, pp. 93–115, Mar. 2020, doi: 10.1007/s13347-019-00346-x.[2] M. Lapidus, I. Bond, E. Wentz, S. B. King, and S. S. Mahnken, “Measuring the quality of reference services provided by paraprofessionals at an academic library,” J. Acad. Librariansh., vol. 46, no. 5, p. 102198, Sep. 2020, doi: 10.1016/j.acalib.2020.102198.[3] G. Valentine and B. D. Moss, “Assessing reference service quality: A chat transcript analysis,” in ACRL 2017 - At the helm: Leading transformation, Baltimore, MD, 2017. [Online]. Available: https://kuscholarworks.ku.edu/bitstream/handle/1808/25179/AssessingReferenceServiceQu ality.pdf?sequence=1[4] M. Mungin, “Stats don’t tell the whole story
carry cultural and historical meaning,shaping our practices, thinking, and interactions with the world. When navigating conceptssuch as technological stewardship, clear definitions enable us to critically engage with themand to communicate our own ideas more effectively. Without a clear understanding of thehistory and contexts of technological stewardship, it can be challenging to make sense of itsdynamic and evolving nature, and to engage in meaningful scholarship or critique of theconcept. We argue that understanding the roots and contexts of the term, including itsmultiple intended purpose(s) and audience(s), is essential to realizing the potential oftechnological stewardship approaches in engineering education.We find the TSPP – a program
’ STEM contexts. This study’s use of CBL reflects [3]’s philosophy as the learningframework, which calls for authentic collaborations with the communities in which the worktakes place [25]. Such collaborations require the building of meaningful connections withcommunity partners and their lived experience as knowledge of the problem’s context [26].Community-based problem-solving is about elevating the knowledge of the people mostimpacted by the problem being examined. The teachers in this study leveraged acommunity-based learning context that looked towards neighborhood organizations facingenvironmental hazards, whose credentials did not come from academic spaces. Even so, as themost impacted had the greatest experience with living adjacent to
following three co-occ features: cGA , corresponding to giftaid; cSH , corresponding to self help aid; and cW S , corresponding to federal work study. Based onthe non-zero median (10 credits) for the excess credit category seen in Fig. 2, the students weredivided into low excess (Low-Ex) and high excess (High-Ex) student cohorts, and thecorresponding co-occ features were derived. Table 1 provides the summary statistics for theseco-occ features.The results for all students show that cGA seems to have the most co-occurrences of gift aid withTable 1: Summary statistics for financial aid-based co-occ variables for all (All), low excess (Low-Ex), and high excess (High-Ex) student cohorts. Mean Std Median Q1
, students, workers, or something in between? Though Ipersonally believe that doctoral engineering students exist outside of this binary discussionbecause of their important societal role in contributing to knowledge, within the binary they docontribute economically and do work that they are not sufficiently compensated for. They dowork, plain and simple.I am not alone in this line of thinking. Legally, the classification of graduate students asemployees has gone back and forth since the 1990’s. At private institutions, this dispute fallsunder the National Labor Relations Act. Specifically, the decision as to whether or not graduatestudents at private institutions are employees falls under the National Labor Relations Boardwhich is a board made up
, when the subjects rural teachers taught was liberal arts, the teachers’ teaching beliefs significantly positively influenced classroom evaluation practice(β=0.38, SE=0.09, t(196)=4.45, p<0.001); when teaching sciences subjects, the influence of teaching beliefs on classroom assessment was further strengthened, indicating that for rural teachers teaching sciences subjects, the impact oftheir teaching beliefs on classroom evaluation was more significant (β=0.69, SE=0.08,t(196)=9.11, p<0.001). Figure 3 Moderating Effect Model of the Type of Subject Study 3’s findings indicate that the influence of rural teachers’ teaching beliefs ontheir classroom evaluations within a STEM education context is dependent on
prestige in astriving institution unintentionally transferred to students and further add to student stress andexhaustion? Does this data suggest faculty in STEM institutions are unwitting participants in agame of prestige? If so, do we not also bear some responsibility for declines in mental healthamong students and perhaps ourselves? These and other questions merit further research.ReferencesABET. (2023). Accreditation Outside the U.S.: ABET’s Role in Global Accreditation. ABET.https://www.abet.org/accreditation/get-accredited/accreditation-outside-the-u-s/Apple, M.W. (2019) Ideology and curriculum. (4th ed). New York: Routledge/Taylor andFrancis Group.Bang, M., & Medin, D. (2010). Cultural Processes in Science Education: Supporting
” identifiednot only from our interviews but also documentary analysis, which was implemented in theSchool of Future Technology (SFT) at BUAA (Fig. 1.). This channel refers to the projectthreads driven by joint mentor groups to synergize collaborative efforts with aim to facilitatehigh-quality research and teaching, as well as engage students in up-to-date research andprepare them for industry-working competencies to satisfy the long-term human capitalaccumulation motivation.As shown in Fig. 1., the “S” represents students’ supervisor, which refers to a mentor groupincluding a distinguished industry supervisor, an industry supervisor among the distinguishedsupervisor’s team, and one university supervisor whose research field is similar orcomplementary
innovations in project management practices. Aligning academic approaches with industry usage is crucial for bridging the gap and fostering a workforce ready to harness the potential of AI in project management. References[1] S. Makridakis, “The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms,” Futures, vol. 90, pp. 46–60, Jun. 2017, doi: 10.1016/j.futures.2017.03.006.[2] T. Brown et al., “Language Models are Few-Shot Learners,” Adv. Neural Inf. Process. Syst., vol. 33, pp. 1877–1901, 2020.[3] N. Glaser, “Exploring the Potential of ChatGPT as an Educational Technology: An Emerging Technology Report,” Technol. Knowl. Learn., vol. 28, no. 4, pp. 1945–1952, Dec. 2023, doi: 10.1007/s10758-023-09684-4.[4] A
CSP framework. Secondly, a framework for the use of CSPin praxis and research within the SSA context is proposed drawing on Onwuegbuzie et al.’s(2012) methodology literature analysis. Findings present an adapted CSP framework for SSA,comprising 11 tenets for asset-based research. They highlight CSP’s adaptability across contexts,underscoring its importance in SSA STEM education.Keywords: culturally sustaining pedagogy, asset-based education, exemplary teaching,inclusion, transferability, Sub-Saharan AfricaBackgroundResearch shows that teaching practices that are more contextual and inclusive of students’cultural backgrounds and experiences enhance students' learning [1]. It is this awareness ofimproved learning outcomes that paved the way for
,” Int J Technol Des Educ, vol. 26, no. 3, pp. 413–437, 2016, doi: 10.1007/s10798-015-9318-z.[2] C. N. Gunawardena, N. V Flor, D. Gomez, and D. Sanchez, “Analyzing social construction of knowledge online by employing interaction analysis, learning analytics, and social network analysis,” Q Rev Distance Educ, no. 3, p. 35, 2016.[3] S. Hall, C. T. Amelink, and S. S. Conn, “A case study of a thermodynamics course: Informing online course design,” Journal of Online Engineering Education, vol. 1, no. 2, 2010.[4] B. K. Jesiek, L. K. Newswander, and M. Borrego, “Engineering education research: Discipline, community, or field?,” Journal of Engineering Education, vol. 98, no. 1, pp. 39–52, Jan. 2009, doi
milestone related to theproject, students were required to submit their progress reports by the respective due dates.3.3 Data Collection Instrument(s)Each student was asked to fill out a metacognitive assessment form adapted from [25], from whichdata was extracted. The form contained three photovoice reflection prompts and three open-endedquestions. The photovoice reflection prompts required students to use three pictures (e.g. photos)to provide a 200-word narrative (e.g. voice) explaining how their learning experience incorporatedan entrepreneurial mindset, bio inspired design and STEAM (arts) in the course. The following arethe three photovoice reflection prompts the participants were given to answer. A. Entrepreneurial Mindset: The
generated for each dyad using ENA [25]. Panel A of Figure 7 shows the ENA graph of the baseline strength of interconnectionsamong codes representative of students’ argumentation and negotiation in the classroom.Observations of epistemic relationships during argumentation and negotiation (red connections)show a weak CD-M correlation (r=0.16) and moderate CC-M correlation (r=0.49). This suggeststhat during argumentation and negotiation, students produced less gestures that were misalignedwith course-specific speech compared to gestures conceptually aligned with course-specificspeech. This differs from H1’s prediction that there would be a stronger correlation betweenstudents conceptually misaligned gestures and course-specific speech
readinessdevelopment in higher education. In E. Popescu, R. W. H. Lau, K. Pata, H. Leung, & M. Laanpere (Eds.), Advances in web-based learning – ICWL 2014 (Vol. 8613, pp. xxx-xxx). Lecture Notes in Computer Science. Cham: Springer. “Decent Work for All: From ILO Initiative to a Global Goal.” In R. Maclean & D. Wilson(Eds.), International handbook of education for the changing world of work. Dordrecht: Springer,2009. pp. 111–128. Florence, B., Jose, B. F., & Guy, S. (2003). A family of decent work indexes. InternationalLabor Review, 142(2), 213–238. Gati, I., & Tal, S. (2008). Decision-making models and career guidance. In J. A. Athanasou &R. Van Esbroeck (Eds.), International handbook of career guidance. Dordrecht: Springer
requirements and required minimum num-ber of credits W . Set requirement tree TCC = ∅ and transfer equivalency map A = ∅. Next, set the Pncredit hours of each course requirement equal to cr[c1 ] = w1 , . . . , cr[cn ] = wn , set wi = S. Let i=1xi = 1 denote that course i is excluded in the produced degree plan, and xi = 0 denote that coursei is included in the plan. Then, any solution to the OTP problem using these instances exists only n Pif set I = {i
others, the system would interact with humans, resulting in a larger complex systemserving various human and community needs. Eric named the larger system “a fulldevice/system”. He gave an example of a desk lamp with safety features. A desk or a, you know, a poseable lamp, you know, that you can move around or wear a safety device that pops out of the wall and, you know, helps cushion the impact or anything like that. Um the you know, the component, which is a piece of the system would be, you know, we typically look at one of those at a time and then we try to demonstrate them in more in the context of a full device or system.3. Context. Since most ME projects in this study are situated in specific context(s
transition from colleges of engineering to employment,” European Journal of Engineering Education, vol. 37, no. 1, pp. 3–14, Mar. 2012, doi: 10.1080/03043797.2011.644761.[4] T. R. Guskey, “Closing Achievement Gaps: Revisiting Benjamin S. Bloom’s ‘Learning for Mastery,’” http://dx.doi.org/10.4219/jaa-2007-704, vol. 19, no. 1, pp. 8–31, Nov. 2007, doi: 10.4219/JAA-2007-704.[5] M. Hansen, L. Cai, S. Monroe, and Z. Li, “Limited‐information goodness‐of‐fit testing of diagnostic classification item response models,” British Journal of Mathematical and Statistical Psychology, vol. 69, no. 3, pp. 225–252, Nov. 2016, doi: 10.1111/BMSP.12074.[6] M. Winget and A. M. Persky, “A Practical Review of Mastery Learning,” Am J Pharm Educ, vol. 86
–22, 1996.[3] J. Engle, “Postsecondary access and success for first-generation college students,” in American Academic, vol. 3, 1 vols., 2007, pp. 25–48.[4] D. C. York-Anderson and S. L. Bowman, “Assessing the college knowledge of first- generation and second-generation college students,” J. Coll. Stud. Dev., vol. 32, no. 2, pp. 116–122.[5] P. Terenzini et al., “The transition to college: Diverse students, diverse stories,” Res. High. Educ., vol. 30, pp. 301–315, 1994.[6] N. M. Stephens, S. A. Fryberg, H. R. Markus, C. S. Johnson, and R. Covarrubias, “Unseen disadvantage: How American universities’ focus on independence undermines the academic performance of first-generation college students,” J. Pers. Soc. Psychol., vol
theory model by usingTable 1: Summary of the studies selected to answer the RQs Works based on the conceptual framework of Perna’s model Implications for Author(s) / Year Purpose Population / Contexts Constructs / Methods practice or research Registrations information
, “Where is the engineering I applied for? A longitudinal study of students’ transition into higher education engineering, and their considerations of staying or leaving,” European Journal of Engineering Education, vol. 41, no. 2, pp. 154–171, Mar. 2016, doi: 10.1080/03043797.2015.1056094.[4] M. Meyer and S. Marx, “Engineering Dropouts: A Qualitative Examination of Why Undergraduates Leave Engineering,” Journal of Engineering Education, vol. 103, no. 4, pp. 525–548, 2014, doi: 10.1002/jee.20054.[5] B. Geisinger and D. R. Raman, “Why They Leave: Understanding Student Attrition from Engineering Majors,” International Journal of Engineering Education, vol. 29, no. 4, pp. 914–925, Jan. 2013.[6] National Academy of Engineering
. Gen holds a Bachelor’s and Master’s degree in Mechanical Engineering, with a specialization in control systems. His professional journey spans nearly three decades, during which he has made significant contributions to the automotive and aerospace sectors, focusing on powertrain systems and a variety of embedded controls.Dr. Stephen Andrew Gadsden, McMaster University Dr. S. Andrew Gadsden is currently the Associate Chair (Graduate Studies) and an Associate Professor in the Department of Mechanical Engineering at McMaster University. He is the Director of the Intelligent and Cognitive Engineering Laboratory.Dr. Scott F. Kiefer, York College of Pennsylvania Scott Kiefer has spent the past twenty-one years teaching
familiarity with LLMssuch as ChatGPT, we will look for differences in student response based on their level ofexposure to and familiarity of use with LLMs.References[1] I. Asimov, "Runaround," Astounding science fiction, vol. 29, no. 1, pp. 94-103, 1942.[2] M. Haenlein and A. Kaplan, "A brief history of artificial intelligence: On the past, present, and future of artificial intelligence," California management review, vol. 61, no. 4, pp. 5-14, 2019.[3] P. Wang, "On defining artificial intelligence," Journal of Artificial General Intelligence, vol. 10, no. 2, pp. 1-37, 2019.[4] M. Javaid, A. Haleem, R. P. Singh, S. Khan, and I. H. Khan, "Unlocking the opportunities through ChatGPT Tool towards ameliorating the