Conference Session

The Best of Computers in Education Division (COED)

Collection

2024 ASEE Annual Conference & Exposition

Authors

Yutong Ai, University of Michigan; Maya Baveja, University of Michigan; Akanksha Girdhar, University of Michigan; Melina O'Dell, University of Michigan; Andrew Deorio, University of Michigan

Tagged Divisions

Computers in Education Division (COED)

summarizing assignment resources in its responses.Our Bot had a high rate of helpfulness for high-level conceptual questions. For prompts like“Explain threads and sockets to me,” both ChatGPT and the Bot gave correct, detailed responses,but the Bot focused on examples that were directly relevant to the project. Based on the qualitativeanalysis of the responses from our custom Bot and ChatGPT, using a focused chatbot was morebeneficial than a general purpose chatbot in the context of a specific course project.5.3 Student expectations of Bot helpfulnessStudent evaluations of the Bot’s helpfulness may reflect expectations of the Bot. A majority ofstudent-reported unhelpful interactions were marked as helpful upon instructor review.When Bot responses

Conference Session

Computer Engineering Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Timothy Sellers, Mississippi State University; Tingjun Lei, Mississippi State University; Chaomin Luo, Mississippi State University; Gene Eu Jan; Zhuming Bi, Purdue University, Fort Wayne

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

ensure that students learning can perform effectively in a professionalsetting [5, 6]. Due to this factor, there have been several methods designed to aid in studentlearning especially in engineering education, such as active learning [7–11], project-basedlearning [12, 12–16], inquiry-based learning [17].Active learning has been aware of improvement of students’ affect toward engineering educationin support of meaningful engagement with computer engineering concepts and practices [7].Compeau et al. [8] developed an active learning pedagogy in engineering electromagneticscourse, in which engineering students are actively engaged in learning through specially designedactivities, followed by reflection upon. A teaching plan is elaborated in [9

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Lisa Cullington, Sacred Heart University; Mary V Villani, Farmingdale State College, SUNY, New York; Nur Dean, Farmingdale State College, SUNY, New York; Moaath Alrajab, Farmingdale State College, SUNY, New York; Arthur Hoskey, Farmingdale State College SUNY, New York; Ilknur Aydin, Farmingdale State College, SUNY, New York

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

Activity, students participated in the in-class activity by having defined roles and responsibilities. Some students were responsible for the oral presentation, others had to identify new discoveries in the content, while others needed to contextualize the events in their research.• Peer Assessment and feedback: Providing and receiving assessments from one’s peers can provide a variety of benefits for students involved in the peer assessment process. Students may have the opportunity to reflect, self-assess, and co-construct subject matter knowledge. Students’ confidence in the subject matter may also increase [10]. While these benefits have not been found to be universal, this study utilized collaborative learning

Conference Session

Simulations and Virtual Learning

Collection

2024 ASEE Annual Conference & Exposition

Authors

Yiyang Li, Old Dominion University; Yuzhong Shen, Old Dominion University; Charles I Sukenik, Old Dominion University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

revisions and expansions to the lab environment. For instance, in the case of anotherelectronics course that utilizes different versions or manufacturers of instruments, developers caneasily extend the virtual lab to accommodate these new requirements with minimal changes. Thisprimarily involves updating the graphical model to reflect the different appearances of the newinstruments. Additionally, the physical model may be modified if there is a need to adjust thesimulation of the instruments’ physical behaviors, such as their interactions or movements withinthe virtual space. The functional model often remains unchanged, as the core functions of similarinstruments in electronics labs typically stay consistent. Figure 3 illustrates the three types

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Syed Hasib Akhter Faruqui, Sam Houston State University; Nazia Tasnim, University of Texas at Austin; Iftekhar Ibne Basith, Sam Houston State University; Suleiman M Obeidat, Texas A&M University; Faruk Yildiz, Sam Houston State University

Tagged Divisions

Computers in Education Division (COED)

educational settings.The remainder of the manuscript is structured as follows. The following section describes the over-all study design, recruitment plan, and data collection and storage procedure. Next, we describethe building and usage of SAMCares. Finally, we provide potential challenges and limitations andend with concluding remarks.MethodsThe primary goal of this research is to investigate whether GenAI tools (especially text generationtools) can enhance students’ learning experience and consequently improve their academic perfor-mance. To create such a tool SAMCares that can address and adapt to the varied educational needsof students, reflecting our commitment to enhancing the quality and accessibility of learning ex-periences in higher

Conference Session

Computer Engineering Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Peter Jamieson, Miami University; Nathaniel David Martin, Miami University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

limitation is mostlikely due to the FPGA’s ability to connect two ALMs during the routing process, where a wirewith a width larger than 1120 cannot be connected between two ALMs. The data we report onlygoes up to a maximum bit-width of 1024, so this limitation is not reflected in our graphs. Also,the Goldschmidt divider has a smaller range than the other dividers because it was not able tosynthesize above a width of 244. This is due to the limited number of DSP blocks.4.1 AreaThe FPGA used in these tests is the 5CGXFC9E7F35C8 from the Cyclone V line. This FPGA ischosen due to its large amount of available ALMs and DSP blocks. The maximum ALMs that ourFPGA has in this study is 113,560. Very few dividers in this study approached this maximumnumber of