Displaying results 301 - 308 of 308 in total
- Conference Session
- Computers in Education Division (COED) Track 3.E
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Oyku Eren Ozsoy, Embry-Riddle Aeronautical University - Prescott; Luis Felipe Zapata-Rivera, Embry-Riddle Aeronautical University
- Tagged Topics
- Diversity
- Tagged Divisions
- Computers in Education Division (COED)
published an ASEE conference paper last year on the effects of ChatGPT on student learning in programming courses. With over seven years of experience teaching Computer Science courses, she is currently a faculty member at Embry-Riddle Aeronautical University’s Department of Computer, Electrical, and Software Engineering, where she teaches computer science courses.Dr. Luis Felipe Zapata-Rivera, Embry-Riddle Aeronautical University Dr. Luis Felipe Zapata-Rivera is an Assistant Professor at Embry Riddle Aeronautical University. He earned a Ph.D. in Computer Engineering at Florida Atlantic University, in the past worked as an assistant researcher in the group of educational Technologies at Eafit University in Medellin
- Conference Session
- Computing and Information Technology Division (CIT) Technical Session 5
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- James Weichert, Virginia Polytechnic Institute and State University; Hoda Eldardiry, Virginia Polytechnic Institute and State University
- Tagged Divisions
- Computing and Information Technology Division (CIT)
false information (“hallucination”) is usedto explore the principle of trustworthiness. First, a political campaign advertisement featuring avideo deepfake of former Pakistani prime minister Imran Khan—produced while Khan was injail—provides a counterexample to the notion that synthetic AI content is necessarily bad [23].Then, students are encouraged to try to ‘hack’ OpenAI’s large language model ChatGPT so that ithallucinates, malfunctions, or gives an inappropriate response.The first lecture concludes by asking students to subjectively rank the three highlightedprinciples—plus three others (transparency, justice and autonomy) which together summarizeFloridi and Cowl’s “Unified Framework for AI in Society” [24]—in terms of their
- Conference Session
- International Division (INTL) Poster Session
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Xinfeng Quan, Westlake University; Jing Wang
- Tagged Topics
- Diversity
- Tagged Divisions
- International Division (INTL)
were reviewed using ChatGPT 4o as asupplementary tool. When minor discrepancies were identified, the first author revised theChinese translation and discussed the changes with the colleagues until all disagreementswere resolved.In addition to the original EBAPS items, four additional questions, shown in Table 4, wereincluded to explore students’ cognitive patterns under the influence of naïve dialecticism[17].The first two items regarding attitudes toward contradictions were adapted from theDialectical Self Scale[19], an instrument designed to measure dialectical thinking. The othertwo items were created by one of the authors to represent the remaining key components ofnaïve dialecticism: the “Principle of Relationship or Holism” (item iii
- Conference Session
- Poster Session-Electrical and Computer Engineering Division (ECE)
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Md Sakib Ullah Sourav, Concordia University; Yong Zeng, Concordia University; Hua Ge, Concordia University; Ali Akgunduz, Concordia University
- Tagged Topics
- Diversity
- Tagged Divisions
- Electrical and Computer Engineering Division (ECE)
- Conference Session
- Computers in Education Division (COED) Track 2.B
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Sean P Brophy, Purdue University at West Lafayette (COE); Fadhla Binti Junus, Purdue Engineering Education
- Tagged Divisions
- Computers in Education Division (COED)
instance, a study by Escalante et al. (2023) [6] examined the learning outcomes ofuniversity students receiving feedback from ChatGPT (GPT-4) versus human tutors. Thecommon feature of these students was English is a New Language (ELN). The resultsindicated no significant difference in learning outcomes between the two groups, suggestingthat AI-generated feedback can be effectively incorporated into writing instruction. Otherstudies provide similar results within STEM learning environments. A recent systematicliterature review [7] identified 6 common categories of AI methods used in education from2011-2021. This work highlights the complexity and opportunities of the rapidly evolvingtechnology and how it can be integrated into learning environments
- Conference Session
- CANCELLED: Track 6: Technical Session 1: A Student-Centered, Theory-Informed, Integrated Model to Academic and Career Advising to Educate the Whole Engineer: Transforming Engineering Education and Broadening Participation in Engineering is Possible!
- Collection
- 2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)
- Authors
- Olga Pierrakos, Wake Forest University; Melissa C Kenny, Wake Forest University
- Tagged Topics
- 2025 CoNECD Paper Submissions, Diversity
content generated from ChatGPT 4.0 (Sept. 2, 2024)and edited by the lead author, are showcased in Figure 2. We do not suggest that this is anexhaustive list of higher education career advising models, but this information offers somerelevant insights upon which to understand and consider different approaches to career advising. Figure 2: Some of the career advising models we see across higher education. This is not an exhaustive list or representation. Many existing career advising models combine elements and features from various of these models.III. THEORETICAL FRAMEWORKS GUIDING WHOLE STUDENT DEVELOPMENTAs an engineering education researcher, the lead author (Pierrakos) has been an NSF-fundedprincipal investigator
- Conference Session
- CANCELLED: Track 5: Technical Session 5: Hiring Practices to Build a Diverse Team at Wakr Forest Engineering: Transforming Engineering Education and Broadening Participation in Engineering is Possible!
- Collection
- 2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)
- Authors
- Olga Pierrakos, Wake Forest University
- Tagged Topics
- 2025 CoNECD Paper Submissions, Diversity
education faces, and manyorganizations face, in recruiting diverse talent is also known. According to ChatGPT 4.0(September 2, 2024) and edited to be represented in a figure format (Figure 1), we highlight justsome of the challenges that hinder organizations from building diverse teams. Some of thesechallenges that hinder higher education and hinder engineering education too include: • Biases in Recruitment Processes • Biased Institutional Barriers and Practices • Misalignment of Goals and Practices • Resistance to Change • Company Culture and Lack of Inclusivity • Resource Constraints to Implement Effective Strategies • Lack of Diversity
- Conference Session
- Civil Engineering Division (CIVIL) Poster Session
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Andrew Paul Summerfield, Wentworth Institute of Technology; John Peter Voccio; Wenye Camilla Kuo-Dahab, Wentworth Institute of Technology; Brian Ernst, Wentworth Institute of Technology; Chris Bode-Aluko, Wentworth Institute of Technology
- Tagged Divisions
- Civil Engineering Division (CIVIL)