Conference Session

Computing and Information Technology Division (CIT) Technical Session 6

Collection

2024 ASEE Annual Conference & Exposition

Authors

Nivedita Kumar, Florida International University; Stephen Secules, Florida International University; Maimuna Begum Kali, Florida International University; Tiana Solis, Florida International University; Atota Bedane Halkiyo, Arizona State University; Mark Allen Weiss, Florida International University; Michael Georgiopoulos, University of Central Florida; Jacqueline Faith Sullivan, University of Central Florida; Ken Christensen P.E., University of South Florida; Angela Estacion

Tagged Divisions

Computing and Information Technology Division (CIT)

but have lower chances of getting aninternship [8]. In prior work, we found that students from lower-income backgrounds tend toprefer internships more than graduate school or entrepreneurship since they guarantee economicstability [4], [10].Promoting entrepreneurship within computer science education encourages students to developinnovative solutions, create startups, and contribute to the tech ecosystem. Smith et al. [11]discuss the intrinsic and extrinsic factors to determine if undergraduate students intend to pursueentrepreneurship after graduation. The students selected passion and job satisfaction as the twomost important factors in deciding their career pathway after graduation. Understanding theimpact of entrepreneurship education on

Conference Session

Computing and Information Technology Division (CIT) Technical Session 4

Collection

2023 ASEE Annual Conference & Exposition

Authors

Fadhla Binti Junus, Purdue University at West Lafayette (PPI); Sean P. Brophy, Purdue University at West Lafayette (COE)

Tagged Divisions

Computing and Information Technology Division (CIT)

, “Using NVivo to conduct a grounded literature review: an application in innovation and entrepreneurship research,” in The Pcoceedings of the 4th European Conference on Entrepreneurship and Innovation, 2009, pp. 516–524.[20] Baseera and Srinath, “Design and development of a recommender system for e- learning modules,” J. Comput. Sci., vol. 10, no. 5, pp. 720–722, 2014, doi: 10.3844/jcssp.2014.720.722.[21] M. M. El-Bishouty, H. Ogata, and Y. Yano, “PERKAM: personalized knowledge awareness map for computer supported ubiquitous learning,” Educ. Technol. & Soc., vol. 10, no. 3, pp. 122–134, Jul. 2007.[22] M. H. Falakmasir and J. Habibi, “Using educational data mining methods to study the impact of virtual classroom