Conference Session

Educational Research and Methods Division (ERM) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Cara J Poor P.E., University of Portland

Tagged Divisions

Educational Research and Methods Division (ERM)

canprovide a sense of community and provide help for students beyond just the instructor. However,peer tutors may not always be fully utilized. Many peer tutors have office hours where studentscan informally drop by and get help, or students are asked to formally join a peer tutoringprogram [1]. These programs are voluntary and may be missing the students who need it themost.ICPT may improve access to peer tutors for all students. ICPT involves peer tutors attendingclass sessions where students solve in-class assignments. Because it is during class, all studentsinteract with the peer tutors. ICPT has been used in statics and mechanics of materials [8]-[10],thermodynamics [11], and introductory engineering courses [12], [13] but has been limited

Conference Session

Work-in-Progress Session: Emergent Methods for Engineering Education Research

Collection

2023 ASEE Annual Conference & Exposition

Authors

Natalie Dow; Ryan Lee; Zihui Zhu, Embry-Riddle Aeronautical University - Prescott; Kaela M Martin, Embry-Riddle Aeronautical University - Prescott; Elif Miskioglu, Bucknell University; Adam R Carberry, Arizona State University

Tagged Divisions

Educational Research and Methods Division (ERM)

, 2005.[16] Profiles of Engineering and Engineering Technology, 2021. 2022, American Society of Engineering Education: Washington, DC.[17] J. Stransky, C. Ritz, E. Dringenberg, E. Miskioglu, and C. Bodnar, “Students use their lived experiences to justify their beliefs about how they will approach process safety judgments,” presented at ASEE Annual Conference, Baltimore, MD, June 2023.[18] S. E. Dreyfus and H. L. Dreyfus, A five-stage model of the mental activities involved in directed skill acquisition. Berkeley: Operations Research Center, University of California, Berkeley, 1980.Appendix - Interview Protocol for Think-Aloud Sessions 1. Introduce yourselves and the think-aloud process (asking participants to

Conference Session

Educational Research and Methods Division (ERM) Technical Session 19

Collection

2024 ASEE Annual Conference & Exposition

Authors

Hudson James Harris, University of Oklahoma; Javeed Kittur, University of Oklahoma

Tagged Divisions

Educational Research and Methods Division (ERM)

+ Engineering, AI, or Artificial Intelligence + Engineering,Chat GPT + engineering + education, and Undergraduate artificial intelligence. (II) Screening theabstracts and full text of the articles to eliminate papers beyond the research topic's scope.Exclusion criteria such as EC 1: Articles written before 2013, EC 2: Articles not written in English,EC3: Articles not pertaining to engineering, EC 4: Articles not pertaining to generative AIexcluding Chat GPT (Deep learning, text generation, vast data input), were used. EC 5: Articlesnot pertaining to undergraduate engineering EC 6: Articles not pertaining to higher education EC7:Articles not pertaining to traditional Artificial intelligence / machine learning EC 8: Article is awork in progress. EC 9

Conference Session

Educational Research and Methods Division (ERM) Technical Session 8

Collection

2024 ASEE Annual Conference & Exposition

Authors

John R. Rogers, Benedictine College; Taylor Goring; Joel Michael Iwanski

Tagged Divisions

Educational Research and Methods Division (ERM)

six assignments: two technical reports and four technicalmemoranda. Data was collected over two semesters, one semester with traditional grading, andone with the experimental method.A key part of the method was the creation of a clear, easy-to-use rubric. A rubric typically has anumber of elements to evaluate, and each element will have a number of discrete levels.Determining the number of rubric elements and the number of levels in each element is a balancebetween thorough assessment and quick assessment. More elements allow the grader to morethoroughly consider different aspects of the work, but it takes longer. The same can be said of thenumber of levels in each element. Grading generally takes less time when there are fewerelements to

Conference Session

Educational Research and Methods Division (ERM) Technical Session 19

Collection

2024 ASEE Annual Conference & Exposition

Authors

Wei Lu, Texas A&M University; Behbood Ben Zoghi P.E., Texas A&M University

Tagged Divisions

Educational Research and Methods Division (ERM)

technical management fields [1]. Although generative AI technology has been around for over a decade, one could eventrace relevant research back to the 1960s [2], it was the release of ChatGPT, an AI-poweredlanguage model developed by OpenAI, that brought this innovative technology into the limelightand allowed general population to access it, disrupting not only the technology sector (e.g., IT),but more recently, the academic world in terms of content generation from both the students andfaculty perspectives. This WIP paper will not dive deep into the technicality of generative AI technology- thatis out of the scope of this study; but instead, it will focus on the experimental application ofChatGPT in the academic setting, to be more

Conference Session

Educational Research and Methods Division (ERM) Technical Session 21

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jack Elliott, Iron Range Engineering, Minnesota State University, Mankato; Angela Minichiello, Utah State University

Tagged Divisions

Educational Research and Methods Division (ERM)

significant tradeoffs according to network data collection method.Table 1. Summary of the study implications according to network data collection type. Data Temporal Scalabi- Need for Interaction Alter Interaction Collection Resolution lity Entity Uncertainty Bounding Type Method Resolution Bounding LMS High High Med.* Low High High Social High High Med.* Low Low High Media Close- Ended Low Med. Low Med. Med. Med. Name Generator Open

Conference Session

Disciplinary Engineering Education Research – Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Nourhan E. Elatky, Rowan University; Jenny Nguyen Hoang; Mason Elwell; Ronan Connor Harkins; Juan M. Cruz, Rowan University; Jie Li, Rowan University

Tagged Divisions

Educational Research and Methods Division (ERM)

professionals.Code BookBelow Table 1 summarizes 16 codes generated from the coding process with definitions andexamples. The developed codebook addresses multiple themes, such as required hands-onexperiences, technical skills, market analysis skills, understanding of environmental impacts, andsmart grid systems and technologies knowledge. TABLE 1 CODE BOOK CODE Definition Examples/Ideas Students design Ideas for students to conduct Design Challenge, projects smart grid project design and documentation, and implement the outcome in implementation

Conference Session

Educational Research and Methods Division (ERM) Technical Session 22

Collection

2024 ASEE Annual Conference & Exposition

Authors

Dhruv Gambhir, Nanyang Technological University; Yifan Xie, University College London; Ibrahim H. Yeter, Nanyang Technological University; Junaid Qadir, Qatar University; Andy Khong, Nanyang Technological University

Tagged Divisions

Educational Research and Methods Division (ERM)

Generative ArtificialIntelligence (GenAI) tools, notably large language models (LLM) such as ChatGPT, may havereshaped the current educational landscape in the most significant way (Grassini, 2023; Mollick,2024) due to their capacity to enhance academic performances, revolutionizing how studentsapproach assignments and projects. Technical and AI literacies are crucial for everyone intoday's advanced digital landscape, enabling individuals to understand, engage with, andcritically assess the AI technologies that increasingly influence many aspects of daily life, asemphasized by Qadir et al. (2020) and Yang et al. (2024), who focus on essential competenciesand AI literacy, respectively. However, alongside the development of GenAI, a change in

Conference Session

Work-in-Progress Session: Supporting Students To, Through, and Beyond Transitions

Collection

2023 ASEE Annual Conference & Exposition

Authors

Giselle Guanes Melgarejo, The Ohio State University; Victoria Bill, New York University ; Julie P Martin, The Ohio State University; Tiantian Li, Purdue University, West Lafayette; Kerrie A Douglas, Purdue University, West Lafayette; Eric Holloway, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods Division (ERM)

during times of educational disruption.IntroductionOpportunities to develop professional skills happen within and outside of engineeringclassrooms. While different operationalizations exist for professional skills, the NationalAcademy of Engineering and ABET generally agree that students’ development should focus onfive specific areas: teamwork and shared leadership, effective communication, creative problem-solving, business and management principles, and professional and ethical responsibility. Inengineering education, skills development often happens within courses like cornerstone andcapstone design [1], as well as in cocurricular activities such as professional organizations andstudent design teams [2]. Specifically, professional

Conference Session

Educational Research and Methods Division (ERM) Technical Session 14

Collection

2024 ASEE Annual Conference & Exposition

Authors

Malliga P, National Institute of Technical Teachers Training and Research, Chennai; Dinesh Kumar KSA; Janardhanan Gangathulasi, National Institute of Technical Teachers Training and Research Chennai, ; Shanmuganeethi Velu P.E.; Arivalagan S

Tagged Divisions

Educational Research and Methods Division (ERM)

International Programmes for Overseas Teacher sponsored by ITEC. Offered three SWAYAM MOOC courses – E-content Development, OER for Empowering Teachers and AICTE NITTT Module 1 Orientation towards Technical Education and Curriculum Aspects. Her areas of interest encompass Data and Text Mining, Cloud Computing, Technology-Enabled Teaching and Learning, Instructional Design, E-Learning, and Open Educational Resources (OER), as well as Immersive Technologies.Dr. Dinesh Kumar KSA Dr. K S A Dineshkumar, Professor, Department of Civil Engineering, National Institute of Technical Teachers Training and Research, Chennai. He has been working in the domain of Student Assessment and Evaluation, Learned - Centered approach, Outcome

Conference Session

Educational Research and Methods Division (ERM) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Campbell R. Bego, University of Louisville; Tessa Withorn, University of Louisville; Judith Danovitch, University of Louisville; Angela Thompson P.E., University of Louisville; Elisabeth Thomas, University of Louisville; Gabriel Ethan Gatsos, University of Louisville; Alvin Tran, University of Louisville

Tagged Divisions

Educational Research and Methods Division (ERM)

instruction in first-year engineeringprograms. IntroductionGenerative artificial intelligence (GenAI) is increasingly used in both academic and professionalsettings, including engineering and engineering school. With GenAI, users can prompt largelanguage models (LLMs) that have been trained on existing data to generate text, images, andother media with similar characteristics. Used appropriately and ethically, GenAI could supportengineering students in their problem-solving, ideation, design, and learning [1]. But studentsmay use GenAI software inappropriately, possibly leading to intentional or unintentionalacademic dishonesty, inaccurate source citations, or reduced competence in essential skillsneeded

Conference Session

Educational Research and Methods Division (ERM) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Angel Guillermo Ortega, University of Texas at El Paso; Meagan R. Kendall, University of Texas at El Paso; Angel Flores Abad, University of Texas at El Paso; Victor Manuel Bonilla, University of Texas at El Paso; Louis J. Everett, University of Texas at El Paso

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

, in the Graduation outcome section, “DNG”refers to “Did Not Graduate”, and “G” represents “Graduated”. (a) Classification with All Predictors (b) Classification without Gender or Race Predictors Figure 1: Classification ResultsThe results were generated using different classifier selections for different neural networktraining and testing. Figure 1a shows the results of the network that uses all the classifiersavailable in Table 1. Figure 1b shows the results with the removal of the gender and ethnicityclassifiers. This provides a more general prediction without taking into account somedemographic data. We noticed that there were no major differences in the results obtained foreach combination.It is

Conference Session

Educational Research and Methods Division (ERM) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Anna Li Coffman, University of Oklahoma; Javeed Kittur, University of Oklahoma

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

you receive information when you are learning? What motivates you to learnconcepts?This question relates to the first hierarchical level of the affective domain receiving, which focuseson an individual actively taking in information and being aware of one’s feelings and emotions[1].All participants, except for P3, noted that a general interest in learning or a specific interest in theclass or concept motivates them to learn. P2: I just feel like I want to have more knowledge. Learning new things makes me feel good and it makes me feel like I have a better understanding of the world, so I just want to keep learning more for that reason.However, participants P1, P3, P4, and P5 also noted how learning to graduate and get a

Conference Session

Educational Research and Methods Division (ERM) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Maimuna Begum Kali, Florida International University; Syed Ali Kamal, University at Buffalo, The State University of New York; Matilde Luz Sanchez-Pena, University at Buffalo, The State University of New York

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

) and do not necessarily reflect the views of the National ScienceFoundation.References[1] A. K. Flatt, “A suffering generation: Six factors contributing to the mental health crisis inNorth American higher education.,” Coll. Q., vol. 16, no. 1, pp. 1–17, 2013, [Online]. Available:https://files.eric.ed.gov/fulltext/EJ1016492.pdf.[2] S. K. Lipson et al., “Trends in college student mental health and help-seeking byrace/ethnicity: Findings from the national healthy minds study, 2013–2021,” J. Affect. Disord.,vol. 306, pp. 138–147, 2022, doi: 10.1016/j.jad.2022.03.038.[3] G. Boyraz, R. Granda, C. N. Baker, L. L. Tidwell, and J. B. Waits, “Posttraumatic stress,effort regulation, and academic outcomes among college students: A longitudinal

Conference Session

Educational Research and Methods Division (ERM) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Arianna Gabriella Tobias, University of Oklahoma; Javeed Kittur, University of Oklahoma; Khondhaker Al Momin, University of Oklahoma; Tahrima Rouf, University of Oklahoma; Arif Mohaimin Sadri, University of Oklahoma

Tagged Divisions

Educational Research and Methods Division (ERM)

importance of socialmedia in engineering education, highlighting its potential as a versatile tool for enhancing teachingand learning processes. The insights obtained lay the groundwork for further exploration anddevelopment in this rapidly evolving field.ReferencesThe articles included in the final review stage are marked with an asterisk (*). [1] M. Kaplan and M. Haenlein, “Users of the world, unite! The challenges and opportunities of Social Media,” Business Horizons, vol. 53, no. 1, pp. 59–68, Jan. 2010, doi: 10.1016/j.bushor.2009.09.003. [2] J. Qadir, “Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education,” in 2023 IEEE Global Engineering Education Conference

Conference Session

Educational Research and Methods Division (ERM) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Anna Li Coffman, University of Oklahoma; Javeed Kittur, University of Oklahoma

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

about a newconcept. In creating a mental model through the application hierarchical level, participants wouldassess similarities and differences between concepts, test ideas, and conduct further research asneeded. Within the analysis hierarchical level, participants would use mental models by breakingdown information into (1) what was given or what was known (2) additional information wasneeded and (3) steps needed to solve the problem. If participants used the synthesis hierarchicallevel to build a mental model, information would be connected to old mental models to create alarger mental model or wider understanding of a topic. Finally, when asked about use of mentalmodels within the evaluation hierarchical level, four participants had a clear

Conference Session

Research Methodologies – Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Brent K. Jesiek, Purdue University at West Lafayette (COE); Brooks Michael Leftwich, Purdue University, West Lafayette; Russell Korte, The George Washington University; Cory Brozina, Youngstown State University - Rayen School of Engineering; Aditya Johri, George Mason University

Tagged Divisions

Educational Research and Methods Division (ERM)

, followed by a new wave of studies carried out from the 1980s to the present, and inpart linked to growing activity in emerging fields like Science and Technology Studies (STS),Engineering Studies, and Engineering Education. Many studies were conducted by individualscholars with graduate training in anthropology or other social science fields (e.g., [4]–[7]) or byengineers-turned-ethnographers (e.g., [8], [9]), and with varying degrees of direct observationand participation in workplace settings and practices. These and related works have generated awealth of insights about the nature of technical work (e.g., [10]), but rely on wide-ranging andlong-term research efforts that are very time and resource intensive. Methodologically, most fieldstudies

Conference Session

Research Methodologies – Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Matthew Bahnson, Pennsylvania State University; Catherine G. P. Berdanier, Pennsylvania State University

Tagged Divisions

Educational Research and Methods Division (ERM)

Social Sciences from the University of Chicago. Matthew’s research focuses on postdoctoral mentorship experiences in engineering and computer science and sociocultural inequality in engineering graduate education with the intention of increasing diversity, equity, inclusion, and justice in STEM graduate ed- ucation. Matthew has published in the leading engineering education journals: Journal of Engineering Education; Studies in Engineering Education; and International Journal of Engineering Education. His conference participation includes coordinating engineering education sessions at the leading education conference: American Educational Researcher Association (AERA) in 2022 and 2023; paper presenta- tions at

Conference Session

Research Methodologies – Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Amy L. Brooks, Oregon State University; James L. Huff, Harding University

Tagged Divisions

Educational Research and Methods Division (ERM)

make sense of concepts or workthrough problem-solving. For example, TAIs have recently been used to explore engineeringdesign process among 6-9th grade students [36] and to assess engineering students’ practice ofnon-technical professional skills [37].Other interview approaches focus on participants’ experiences as a story. Ethnographicinterviewing aims to draw understanding of participants’ experiences in their natural setting andoften is performed in conjunction with observational data collection. Several EER studies haveemployed ethnographic interviewing to examine topics such as the cultural landscape ofengineering education [34], knowledge funds among first-generation college students inengineering [38], and how early career engineering

Conference Session

Research Methodologies – Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Susan Sajadi, Virginia Tech; Nadia N. Kellam, Arizona State University; Samantha Ruth Brunhaver, Arizona State University

Tagged Divisions

Educational Research and Methods Division (ERM)

single story.They are a relatively modern qualitative research methodology used in the existing literature forseveral purposes: to do justice to complex accounts while maintaining participant anonymity[1]–[3], summarize data in a more engaging personal form and retain the human face of the data[2], represent specific aspects of the research findings [3], enhance the transferability of researchfindings by invoking empathy [4], illuminate collective experiences [5], and enhance researchimpact by providing findings in a manner that is more accessible to those outside of academia[1]. Composite narratives leverage the power of storytelling, which has shown to be effective instudies of neurology and psychology; i.e., since humans often think and

Conference Session

Student Experiences and Development – Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Zhiyi Liu, University at Buffalo; Andrew Olewnik, University at Buffalo, The State University of New York

Tagged Divisions

Educational Research and Methods Division (ERM)

theory tounderstand how they construct and develop their engineering and professional identities. Thedata used for this study was secondary and gathered by a large state research university in 2020.A positioning analysis of undergraduate engineering students’ PDS reflections on co-curricularexperiences (i.e., technical work and research) indicates that the students build their engineeringidentities primarily in the process of positioning themselves as: 1) an engineering intern; 2) aresearch assistant; and 3) taking up agentic positions related to successfully completing the tasksand future career goals. Storylines show how individual students take up their responsibilitieswithin a particular context in co-curricular activities. The results also

Conference Session

Disciplinary Engineering Education Research – Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Nisha Raghunath M.S., Oregon State University; Karl R. Haapala, Oregon State University; Christopher A. Sanchez, Oregon State University

Tagged Divisions

Educational Research and Methods Division (ERM)

,and the remaining five were from companies employing less than 50. These individuals werealso employed in various mechatronics domains (i.e., medical (n = 1), aerospace (n = 3),automotive (n = 2), precision machine manufacturing (n = 1), product development (n = 2), andeducational (n = 2)), and have been employed anywhere from 3 to 40 years in their respectivepositions or area (e.g., operations manager, production director, technical lead engineer, androbotics researcher). Thus, a diverse industry perspective of mechatronics skills is likely capturedin this survey. Respondents rated each of the 32 skills as either very relevant, somewhat relevant, notrelevant, or unsure. These ratings were completed two times for every skill – once

Conference Session

Student Experiences and Development – Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Shannon M. Clancy, University of Michigan; Berenice A. Cabrera, University of Michigan; Sarah Jane (SJ) Bork, University of Michigan; Kayleigh Merz, University of Michigan; Erika Mosyjowski, University of Michigan; Shanna R. Daly, University of Michigan; Lisa R. Lattuca, University of Michigan; Joi-Lynn Mondisa, University of Michigan

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

. IntroductionEngineering curriculum frequently focuses on technical, analytical, and decision makingknowledge and skills, evident by the common focus of courses on math and physics principles[1]–[3]. Course problem sets and projects routinely focus on determining variables and solvingequations where there is one “right” answer [4]. However, engineering work is inherently bothtechnical and social [5], [6]. To address major problems of today’s world, engineering studentsneed to develop contextual and cultural competencies, ethical responsibility, and socialengagement knowledge and skills, as well as the ability to work across disciplinary boundaries[7]–[10]. Engagement in these skills, which we collectively call “comprehensive engineeringknowledge and skills”, are

Conference Session

Student Experiences and Development – Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

David Reeping, University of Cincinnati; Sushant Makarand Padhye, University of Cincinnati; Nahal Rashedi

Tagged Divisions

Educational Research and Methods Division (ERM)

outlining the coursework requirements a student must completein order to earn a degree as a network. In the network, courses are represented as vertices (ornodes), and the prerequisite relationships among them are given by directed edges (arrows).This data type allows us to calculate a suite of metrics drawn from the pool of techniquesdeveloped in other fields, like social network analysis, that can help us capture “complexity”in some meaningful way. First appearing in its most recognizable form in work by Wigdahlas the idea of “curricular efficiency” [1], Heileman et al. [2] provide a thorough treatment ofthe possible quantities that form Curricular Analytics.Curricular complexity is divided into two components: instructional complexity

Conference Session

Disciplinary Engineering Education Research – Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Matthew M. Grondin, University of Wisconsin - Madison; Michael I. Swart, University of Wisconsin - Madison; Arushi Renschler Pandey, University of Wisconsin-Madison; Katherine Fu, University of Wisconsin - Madison; Mitchell Nathan, University of Wisconsin - Madison

Tagged Divisions

Educational Research and Methods Division (ERM)

vehicles, structural elements in building designs, bone scaffold designs in biomechanics, and ahost of other applications. However, conceptualizing torque can often be difficult resulting innumerous misconceptions when solving engineering problems.In engineering education, knowledge acquisition traditionally stems from a formalisms first (FF)pedagogy that mastery of mathematical and scientific formalisms (i.e., symbolic notations ofequations, diagrammatic representations, technical jargon, etc.) is required before successfulapplication of that knowledge. In essence, the procession of learning and conceptualdevelopment requires knowledge and mastery of these formalisms before exhibiting competencyin application and practice. Nathan [1] showed

Conference Session

Disciplinary Engineering Education Research – Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Mackinley Love, University of Calgary; Philip Egberts, University of Calgary; Joanna Wong, University of Calgary; Miriam Nightingale, University of Calgary

Tagged Divisions

Educational Research and Methods Division (ERM)

, Calgary AB T2N 1N4 May 1, 2023AbstractRecently, there has been increased pressure from industry, the local government, and theUniversity of Calgary to include industry-relevant learning opportunities in undergraduatecurricula to improve the transition of students from the university to the workforce. Inengineering education, laboratories are often viewed as a bridge between course content andindustry skills by grounding theoretical knowledge in practical experiments and developingfamiliarity with testing techniques and analyses used in industry. Yet nearly half of undergraduatemechanical and manufacturing engineering students enrolled in a mandatory third-year materialsscience course at the University of

Conference Session

Educational Research and Methods Division (ERM) Technical Session 7

Collection

2024 ASEE Annual Conference & Exposition

Authors

Xiuhao Ding, University of Illinois at Urbana - Champaign; Meghana Gopannagari, University of Illinois at Urbana - Champaign; Kang Sun, University of Illinois at Urbana - Champaign; Alan Tao, University of Illinois at Urbana - Champaign; Delu Louis Zhao; Sujit Varadhan, University of Illinois at Urbana - Champaign; Bobbi Lee Battleson Hardy, University of Illinois at Urbana - Champaign; David Dalpiaz, University of Illinois at Urbana - Champaign; Chrysafis Vogiatzis, University of Illinois at Urbana - Champaign; Lawrence Angrave, University of Illinois at Urbana - Champaign; Hongye Liu, University of Illinois at Urbana - Champaign

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

from twoEngineering courses where novel digital notes were implemented via the UDL based videoteaching platform ClassTranscribe [8]. These digital notes consisting of both text and visualelements were automatically generated from lecture videos. The notes were then separated intodistinct chapters and sub-chapters that include many images, image descriptions, text andhyperlinks that can be edited or shuffled by the instructor. Researchers have used it as a newaccessible instructional tool and found it improved the course content accessibility and learningoutcomes [8].MethodsResearch questions and aimsWe conducted the analyses and experiments to address the following research questions: 1. How effectively can the current machine learning

Conference Session

Educational Research and Methods Division (ERM) Technical Session 26

Collection

2024 ASEE Annual Conference & Exposition

Authors

Xinfeng (Kevin) Quan, Westlake University; Chaoyi Wang, Zhejiang Normal University ; Chenhui Zhang, Self-employed

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

participated in a 90-minute workshop on the scientific method, Bloom’s taxonomy, and theirinterconnections during the freshman orientation weeks and had attended my General ChemistryLab I in the first semester.Given this background, this study seeks to evaluate the impact of the LHETM model through a one-semester intervention, focusing on two key areas:1. In the absence of direct instruction on the scientific method as part of the course or examination content, does the LHETM model still enhance students’ understanding of the scientific method?2. Does the LHETM model improve students’ cognitive and metacognitive skills?InstrumentTo investigate the effectiveness of the LHETM model in enhancing students’ understanding of thescientific method and their

Conference Session

Educational Research and Methods Division (ERM) Technical Session 22

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mohammad Faraz Sajawal, University of Oklahoma; Javeed Kittur, University of Oklahoma

Tagged Divisions

Educational Research and Methods Division (ERM)

literature review seeks to explore researchdone on ChatGPT, both within the broader context and specifically in engineering. Furthermore,it aims to interpret the methodologies used, particularly the use of survey instruments, inunderstanding and gauging student perspectives on this transformative tool.Research on ChatGPT spans a wide spectrum, involving investigations into its architecture,capabilities, and societal impact. Initial studies often delved into the technical aspects of ChatGPT,mentioning its underlying mechanisms and the efficacy of its language generation algorithms. Forinstance, Azaria (2022) provided insights into the machine learning processes that sustainChatGPT’s functionality, shedding light on its training data and model

Conference Session

Educational Research and Methods Division (ERM) Technical Session 20

Collection

2024 ASEE Annual Conference & Exposition

Authors

Emily Buten, University of Michigan; Jack Boomer Perry, University of Michigan; Cindy Wheaton, University of Michigan; Aaron W. Johnson, University of Michigan

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

organizations such as the Society of Automotive Engineers (SAE)Baja and American Society of Civil Engineers’ (ASCE) Concrete Canoe Competition. Project teams havebeen noted in the literature as opportunities for students to learn both professional skills and disciplinaryknowledge [1], [4], [5], [6].It’s important to understand how experiential settings are building professional skills because not everystudent has access to these opportunities. Studies have shown that student’s background, such asfirst-generation, gender, and race, impact their ability or interest in participating in out-of-classroomactivities [7], [8], [9], [10]. For project teams specifically, minoritized students often face an entry barrierto participation [11]. Therefore, if we know