Conference Session

Innovative Pedagogical Strategies I

Collection

2024 ASEE Annual Conference & Exposition

Authors

Hugh Jack P. Eng., Western Carolina University; Yanjun Yan, Western Carolina University

Tagged Divisions

Engineering Technology Division (ETD)

processing. ©American Society for Engineering Education, 2024 The Use of Chatbots in Engineering Including Critical Thinking and Problem DefinitionAbstractRecent developments in machine learning have impacted the professional and educationalworlds. Most notably, chatbots like ChatGPT have made it possible to produce answers tocomplex questions and perform a limited set of professional tasks. While these tools are far fromperfect, they can act as semi-competent assistants for engineers. We should expect these resultsto improve over time and allow engineers to produce more advanced work in a shorter time.However, this calls for an effective approach to work with AI while cultivating the

Conference Session

Engineering Technology Division (ETD) Technical Session 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Asif Ahmed, State University of New York, Polytechnic Institute; SATHVIKA KATIKANENI, State University of New York, Polytechnic Institute; Ashish Gunda, State University of New York, Polytechnic Institute

Tagged Divisions

Engineering Technology Division (ETD)

management and infrastructure resilience. This paper exploreshow generative AI can be leveraged by engineering educators to teach students advancedtechniques for wildfire prediction and geospatial analysis. Focusing on the use of generative AIin the classroom, the methodology demonstrates how students can engage with platforms likeGoogle Earth Engine to access and analyze satellite imagery and environmental datasets, such asMODIS Active Fire Detections and LANDSAT/Sentinel Burn Severity. By integrating generativeAI tools (e.g., ChatGPT, Gemini), educators can guide students through the process ofautomating code generation for wildfire location mapping, enhancing their problem-solvingskills and technical competence. The use of generative AI

Conference Session

Panel: AI and Engineering Technology Education: What, Why, How?

Collection

2024 ASEE Annual Conference & Exposition

Authors

Meenakshi Narayan, Miami University; Lokesh Kumar Saharan, Gannon University

Tagged Topics

Diversity

Tagged Divisions

Engineering Technology Division (ETD)

Reshaping Engineering Technology Education: Fostering Critical Thinking through Open-Ended Problems in the Era of Generative AIAbstractAcademic integrity breaches and plagiarism existed long before the rise of Generative Artificialintelligence (G-AI), where students used paid online tutoring platforms like Chegg to obtain helpwith homework assignments, take-home exams, and course projects. Additionally, G-AIplatforms such as ChatGPT provide students with immediate support in understanding conceptsand improving problem-solving abilities. However, it also opens up possibilities for students toimproperly use the technology for homework and exams. This necessitates a revision in howeducators design curricula and

Conference Session

Student Success in ET

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kenan Baltaci, University of Wisconsin, Stout; Monika Herrmann, University of Wisconsin, Stout; Ahmet Turkmen

Tagged Topics

Diversity

Tagged Divisions

Engineering Technology Division (ETD)

Critical EngagementIn this study, students were invited to participate in a survey to share their experiences using AItools during one semester in four courses. Thirty-five (35) Computer and Electrical Engineering(CEE) students at the University of Wisconsin-Stout responded to the survey describing their useof AI tools such as ChatGPT in their studies. The group included 15 sophomores and 20 seniorsenrolled in 4 different CEE courses titled “CEE-215 Electronics”, “CEE-405 Capstone I:Computer Engineering Design”, “CEE-410 Capstone II: Computer Engineering Design”, and“CEE-355 Applied Electromagnetics”. The survey featured nine questions, seven using a Likertscale to measure students' opinions about AI tools in their education. The Likert scale

Conference Session

Engineering Technology Division (ETD) Technical Session 5

Collection

2025 ASEE Annual Conference & Exposition

Authors

Stephen Andrew Wilkerson P.E., York College of Pennsylvania; Yargo Teixeira Gomes de Melo, York College of Pennsylvania; Tamara Schwartz, York College of Pennsylvania; Dean Zeller, York College of Pennsylvania

Tagged Divisions

Engineering Technology Division (ETD)

. James XXXX, Dean XXXX, Devon XXXX, and SierraXXXX are introduced below.Dean XXXXDean XXXX is a college professor with over 25 years of teaching experience in computerscience and mathematics. Dean was given his first Artificial Intelligence course back in 2002,with students using the Lisp programming language to implement a Minimax lookahead strategyfor the classic board game Othello. Since then, he has taught classes, conducted personalresearch, and written stories involving AI. Since the boom of ChatGPT and other large languagemodels, Dean has focused his attention on the ethics of AI and its potential ramifications onsociety. This semester, Dean is teaching a 400-level computer science course and a 100-levelfirst-year seminar focusing on the

Conference Session

Engineering Technology Division Curriculum Development

Collection

2024 ASEE Annual Conference & Exposition

Authors

Brian Khoa Ngac, George Mason University; Mihai Boicu, George Mason University

Tagged Topics

Diversity

Tagged Divisions

Engineering Technology Division (ETD)