Paper ID #44303Reflections on 10 years of Operating a Computer-based Testing Facility: LessonsLearned, Best PracticesDr. Jim Sosnowski, University of Illinois Urbana-Champaign Jim Sosnowski is the Assistant Director of the Computer-Based Testing Facility (CBTF) at the University of Illinois Urbana-Champaign.Dr. Julie M Baker, University of Illinois Urbana-Champaign Julie Baker is a Learning Design Specialist for the Applied Technologies for Learning in the Arts and Sciences (ATLAS) group in the College of Liberal Arts and Sciences (LAS). She helps LAS faculty implement best practices for computer-based assessment and
the CER community through the ACM SIGCSE, IEEE CollaboretecForum, NSF INCLUDES forum, and CSTA Discussion Forum. We also recruited participantsfrom the CS Graduate Student and CSforALL slack channels. Finally, we emailed 889 authors ofpublished K-12 CER literature from the publicly available article database on the K-12Computing Education Research Resource Center [25]. The survey was distributed on January 4th,2023 and closed on January 25th, 2023. If participants completed the survey and gave their emailaddress, they were entered into a random drawing for one of four $50 dollar gift cards.3.3 ParticipantsFor a participant’s response to be included in the final analysis, the participants had complete theopen-ended barrier question in the
Associate Director of Educational Innovation and Impact for UGA’s Engineering Education Trans- formations Institute (EETI). In addition to coordinating EETI’s faculty development programming, Dr. Morelock conducts research on institutional change via faculty development, with an emphasis on innova- tive ways to cultivate and evaluate supportive teaching and learning networks in engineering departments and colleges. He received his doctoral degree in Engineering Education at Virginia Tech, where he was a recipient of the NSF Graduate Research Fellowship. His dissertation studied the teaching practices of engineering instructors during game-based learning activities, and how these practices affected student motivation.Dr
-2013), and a Postdoctoral Researcher at Clemson University (2013-2014) and the University of Florida (2014-2016). His research focuses on human-centered computing, computer science education, social computing, and broadening participation in computing. Dr. Dillon has received >$750k in research funding and awards from external agencies and non-profit organizations, including the National Science Foundation (NSF), the Maryland Pre-Service Computer Science Teacher Education Program (MCCE), and the Collaborative Research Experience for Undergraduates (CREU - CRA-WP). Dr. Dillon currently serves as a Co-PI for the STARS Computing Corps, which recently has been renewed for funding by NSF. He has also conducted a
Paper ID #37639Board 64: Work in Progress: Update on the Impact of Secure and UpgradeComputer Science in Classrooms through an Ecosystem with Scalability &Sustainability (SUCCESS)Prof. Lynette Michaluk, West Virginia University PI, is a social sciences researcher at the West Virginia University Center for Excellence in STEM Edu- cation. Her research interests include broadening access to and participation in STEM. She is Co-PI of the National Science Foundation KY-WV Louis Stokes Alliance for Minority Participation and Research Scientist for Secure and Upgrade Computer Science in Classrooms through an Ecosystem with
Consortium. He is a Senior Member of the IEEE.Dr. Bruce R Maxim, University of Michigan, Dearborn Bruce R. Maxim has worked as a software engineer, project manager, professor, author, and consultant for more than forty years. His research interests include software engineering, human computer interaction, game design, virtual reality, AIXiaohong Yuan, North Carolina A&T State University Dr. Yuan is a professor in the Department of Computer Science at NCA&T. Her research interests include AI and machine learning, anomaly detection, software security, cyber identity, and cyber security education. Her research has been funded by the National Security Agency, the National Centers of Academic Excellence in
Career Center Interventions2.1 Technical Interview Preparation Courses - Category 1California Institute of Technology provides student-taught courses (known as CS 12: Student-Taught Topics in Computing) as part of their CS course curriculum. One section of CS 12 is atechnical interview course designed to assist student preparation for technical interviews [5].Similarly, the University of Maryland offers a relative student-taught CS course comprised offive sections (known as CMSC 389O: The Coding Interview) that provides their students with acomprehensive and practical introduction to the technical interview process [23]. StanfordUniversity also offers a 1-unit CS course (known as CS 9 - Problem-solving for the CS technicalinterview) that
technology is chosen as a medium for teaching CT, it is recommended that teachers beaware of the best practices for using technology around children. This will help ensure that thetechnology used is safe, age-appropriate, and aligns with the curriculum's learning goals [32].Limitations and Future WorkThe CTPF+ frameworks based on the systematic review collected from ProQuest. Therefore,works that can provide different insight into this research may have been missed. Also, mostliterature reviews build their work on Brennan and Resnick, which can lead to bias as itinfluences all the author’s views. Other limitations are the limited work for data science, and AIinfers the need to have more research to influence the judgments, and the inclusion of CT
technological age, the need to study and understand computation and the scholarship andteaching employed to prepare the next generation of engineers has become a priority for currenteducation researchers. The National Academies of Sciences, Engineering, and Medicine,reported in a 2018 report by stating, “It is a time for institutions to consider their missions andconstituencies they serve and to determine what role computing should play in the experience,knowledge, and skills of its graduates 2025 and beyond,” [1]. Computing has been identified as anecessary skillset for engineers entering the workforce to employ computational solutions tocomplex global issues. Computing educational researchers have embarked on the journey touncover the evidence-based
broaderset of educational applications for ChatGPT – including areas like finance, language, medicine,and law – and catalogued several applications of ChatGPT, including identifying student needs,scaling assessment, personalized tutoring, and generating material. Although the findings fromthese reviews – including others such as [14], [15], [16], [17], [18] – can help conceptualize thedifferent possibilities, guidance about how to implement LLM-powered tools like ChatGPT isunderstandably sparse across these literature reviews.The best practices for using LLM-powered tools in educational research are developing as well,specifically how we go about unlocking their proclaimed benefits. The key is determining whatprompts and practices can be used to
, research, and teaching.Considering these challenges, there is an urgent need for empirical studies to assess the impact ofGAI on engineering learning experiences to address the potential challenges and concerns relatedto their implementation. This study aims to inform the field about the best practices forintegrating GAI tools into engineering education pedagogy and assessment.Purpose of this studyThis work-in-progress paper aims to describe our efforts to explore the impact of integrating GAIas a tool for enhancing engineering education. In this paper, we will discuss the methodology weplan to use to assess the impact of GAI tools on engineering learning experiences, including theselection of participants, data collection methods, and analysis
in Science and as Associate Director, Engineering Education Research Center at the University of Pittsburgh; Director of Research & Development for a multimedia company; and as founding Director of the Center for Integrating Research & Learning (CIRL) at the National High Magnetic Field Laboratory. His current efforts focus on innovation of teaching practices in STEM fields and systemic change within higher education.Dr. Ibukun Samuel Osunbunmi, Pennsylvania State University Ibukun Samuel Osunbunmi is an Assistant Research Professor, and Assessment and Instructional Specialist at Pennsylvania State University. He holds a Ph.D. degree in Engineering Education from Utah State University. Also, he has BSc and
research community and to ultimately broaden participation. Dr. Villani is the co-advisor of the Supporting Women in Computing Club where she has mentored many women students in the program. Dr. Villani is the recipient of the Chancellor’s Award for Teaching Excellence, 2012. Prior to joining FSC, Dr. Villani had a 15 year computer consulting career in the Risk Management and Insurance Industry.Dr. Nur Dean, Farmingdale State College, SUNY, New York Nur Dean is an Assistant Professor in the Computer Systems Department at Farmingdale State College in New York. She obtained her PhD in Computer Science from The Graduate Center, City University of New York and holds an M.S. in Applied Mathematics from Hofstra University in New
, B. M. (2009, October). Examining science and engineering students' attitudes toward computer science. In 2009 39th IEEE frontiers in education conference (pp. 1-6). IEEE.[15] Guzdial M. Does contextualized computing education help? ACM Inroads. 2010 Dec 1;1(4):4–6.[16] Yardi, S. and Bruckman, A. 2007. What is computing?: bridging the gap between teenagers' perceptions and graduate students' experiences. In Proceedings of the Third international Workshop on Computing Education Research (Atlanta, Georgia, USA, September 15 - 16, 2007). ICER '07. ACM, New York, NY, 39-50. DOI=http://doi.acm.org/10.1145/1288580.1288586[17] Jonassen, D. H. (2000). Revisiting activity theory as a framework for designing student-centered learning