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)

was open to all graduate students interested in machine learning and alsoincluded students from other engineering and science disciplines, including civil engineering,industrial engineering, and psychology. This disciplinary diversity, combined with the diversity inresearch interests among students, contributed to a variety of perspectives during the module’sclass discussions. Each of the two lectures in the module was attended by between 20 and 30students (out of a total enrollment of 40). This represented a significant drop in attendance for thecourse, attributable to the fact that module material was not being assessed and class attendancewas not tracked. While the smaller class size paralleled a graduate seminar environment, thelower

Conference Session

Computing and Information Technology Division (CIT) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Shamima Mithun, Indiana University-Purdue University, Indianapolis; Xiao Luo, Oklahoma State University

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology Division (CIT)

often encounter in their communities. These students' low sense of belonging and self-efficacy are critical factors for not choosing computing as a career path and retaining computingdisciplines [3, 6, 7, 8]. Research [2, 3] also indicates that attracting and retaining underrepresentedstudents, including women, is challenging without role models and mentoring. Studies [5] alsofound that mentoring is the most effective intervention to improve the self-efficacy ofunderrepresented students, leading to their commitment to pursue computing careers. Our previouswork [1] also found that mentoring helps improve students' sense of belonging, self-efficacy, andcomputing identity. In this study, we investigate whether course-level-specific mentoring is

Conference Session

Computing and Information Technology Division (CIT) Technical Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Teresa Piliouras, Technical Consulting & Research, Inc. ; Mengqian Wu, Technical Consulting Research, Inc. ; Steffi N. Crasto, Center for Advanced and Emerging Technologies (CARET); Pui Lam (Raymond) Yu, Technical Consulting & Research, Inc.; Navarun Gupta, University of Bridgeport

Tagged Divisions

Computing and Information Technology Division (CIT)

enhances the learning environment in a numberof ways: i) it can assist in the design and development of personalized course content based onindividual learner needs, preferences, and feedback; ii) it can provide statistics on learnerbehaviors and preferences to help identity useful incentives to maintain engagement andopportunities for potential improvement in course delivery; and iii) it opens new communicationchannels to share information and feedback between students and teachers.Challenges and Limitations Using CRM-Augmented LMS SystemsThe first author’s forays integrating CRM capabilities into technology infrastructures began inthe 1990s, as a lead designer of CRM systems for large commercial companies. The purpose ofthese systems is to

Conference Session

Computing and Information Technology Division (CIT) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Amanda Nicole Smith, University of Florida; Sage Bachus, University of Florida; Ashish Aggarwal, University of Florida

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology Division (CIT)

PPE are significant predictors of student performance, while gender has a minor butstatistically significant impact. This suggests that academic performance (measured by GPA) andprior experience in programming play major roles in determining success, aligning with earlierstudies that emphasize the importance of these factors in programming courses [12]. The moderatecorrelation between GPA and performance (r = 0.48) further validates GPA as a reliable predictor.Prior studies consistently demonstrate that GPA is one of the most robust indicators of student per-formance across various academic contexts, as it reflects a student’s cumulative learning habits,self-regulation, and perseverance. For instance, research on engineering dynamics courses

Conference Session

Computing and Information Technology Division (CIT) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Venkata Alekhya Kusam, University of Michigan, Dearborn; Larnell Moore, University of Michigan, Dearborn; Summit Shrestha, University of Michigan, Dearborn; Zheng Song, University of Michigan, Dearborn; Jin Lu, University of Georgia; Qiang Zhu, University of Michigan, Dearborn

Tagged Divisions

Computing and Information Technology Division (CIT)

PBL, students apply the concepts and skillsacquired in the classroom to solve real-world problems, thereby enhancing their understandingand retention of knowledge. To make the PBL process more effective, the integration ofcontinuous feedback at various stages of the project plays a crucial role 2 . This feedback providedto students acts as a guiding tool, helping them to refine their approaches and encourageprogressive thinking 3 , alongside motivating and ensuring they are moving in the right direction 4 .For courses that require both theoretical understanding and practical hands-on implementations,PBL has proven to improve students’ learning outcomes 5 . For example, through PBL withcontinuous integration of feedback in Computer Science