Displaying all 5 results
- Conference Session
- Computing and Information Technology Division (CIT) Technical Session 7
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
- Yu-Zheng Lin, The University of Arizona; Karan Patel, The University of Arizona; Ahmed H Alhamadah, The University of Arizona; Sujan Ghimire, The University of Arizona; Jesus Pacheco; Banafsheh Saber Latibari, The University of Arizona; Soheil Salehi, The University of Arizona; Pratik Satam, University of Arizona
- Tagged Topics
- Diversity
- Tagged Divisions
- Computing and Information Technology Division (CIT)
Figure 2, an interactive framework to provide gamified virtual reality(VR) based cybersecurity training that personalizes the coursework through sentiment analysisand generative AI, to ensure meeting of the course’s learning outcomes while improving studentretention through bolstering their engineering identity and sense of belonging.The main contributions of this paper are as follows: • Multi-Fidelity Digital Twin Education Reference Model: We propose a multi-fidelity digital twin and generative AI reference model for education. This model defines a multi-fidelity digital twin and combined it with Bloom’s Taxonomy and Kirkpatrick model to provide a reference for digital twin applications on different education needs and
- Conference Session
- Computing and Information Technology Division (CIT) Technical Session 2
- Collection
- 2024 ASEE Annual Conference & Exposition
- Authors
- Stephanie Jill Lunn, Florida International University; Edward Dillon, Morgan State University; Zubayer Ahmed Sadid, Florida International University
- Tagged Divisions
- Computing and Information Technology Division (CIT)
theirknowledge, skills (e.g., communication), capabilities (e.g., technical and performance),dispositions (e.g., adaptability), and thought processes. Yet, while students may be taughtcomputing foundations and theory throughout their education, this does not always translate intopositive outcomes. According to a recent evaluation of performance at interviewing.io, only 54%of candidates actually pass technical interviews [4].Although such approaches may be commonplace to evaluate candidates for computing roles, theyare often criticized. An exploration of HackerNews, a social news website for those involved insoftware development, has previously described how they can not only induce anxiety, as may bemore common in any interview situation, but also in
- Conference Session
- Computing and Information Technology Division (CIT) Technical Session 7
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Frank Kreimendahl, Wentworth Institute of Technology; Durga Suresh-Menon
- Tagged Topics
- Diversity
- Tagged Divisions
- Computing and Information Technology Division (CIT)
Paper ID #36974Creating a Blueprint for Success in First-Year ComputingProf. Frank Kreimendahl, Wentworth Institute of Technology Frank Kreimendahl is an assistant professor in the School of Computing and Data Science at Wentworth Institute of Technology. He is focused on teaching computer science fundamentals and building stronger resources for student learning. He aims to bring interest and competence to algorithm-driven problem solving in the classroom.Durga Suresh-Menon ©American Society for Engineering Education, 2023 Creating a Blueprint for Success in First-Year
- Conference Session
- Computing and Information Technology Division (CIT) Technical Session 2
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Opeyemi Taiwo Adeniran, Morgan State University; Md Mahmudur Rahman, Morgan State University; Oludare Adegbola Owolabi P.E., Morgan State University; Neda Bazyar Shourabi, Pennsylvania State University, Berks Campus; Eric Sakk; Chukwuemeka Duru; Frank Efe; Pelumi Olaitan Abiodun, Morgan State University; Jumoke 'Kemi' Ladeji-Osias, Morgan State University
- Tagged Topics
- Diversity
- Tagged Divisions
- Computing and Information Technology Division (CIT)
in 2014, Dr. Rahman extensively conducted research at the National Institutes of Health (NIH), USA for almost six years as a Research Scientist. He significantly contributed to research and development of the image processing, classification, and retrieval methods extensively used in the NLM’s Open-i Search Engine for biomedical literature. Dr. Rahman has good expertise in the fields of Computer Vision, Image Processing, Information Retrieval, Machine Learning, and Data Mining and their application to retrieval of biomedical images from large collections. Since joining Morgan, Dr. Rahman also has been actively involved in basic educational and instructional re- search by infusing several interactive and active
- Conference Session
- Computing and Information Technology Division (CIT) Technical Session 4
- Collection
- 2023 ASEE Annual Conference & Exposition
- Authors
- Udayan Das, Saint Mary's College of California
- Tagged Topics
- Diversity
- Tagged Divisions
- Computing and Information Technology Division (CIT)
Paper ID #36739BYOP: ”Bring Your Own Project”: How student-driven programming projectsin an introductory programming course can drive engagement andcontinuous learningDr. Udayan Das, Saint Mary’s College of California Udayan Das is a computer science professor with over a decade of experience teaching computer science. ©American Society for Engineering Education, 2023 BYOP: "Bring Your Own Project" How student-driven programming projects in an introductory programming course can drive engagement and continuous learningAbstractEngaging students who are unsure about