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Samson O. Adeoye; Heather Lindberg; B. Bagby; Anne M. Brown; Feras A. Batarseh; Eric K. Kaufman – NACTA Journal, 2023
Cyberbiosecurity is an emerging field at the convergence of life sciences and the digital world. As technological advances improve operational processes and expose them to vulnerabilities in agriculture and life sciences, cyberbiosecurity has become increasingly important for addressing contemporary concerns. Unfortunately, at this time,…
Descriptors: Computer Security, Biology, Biological Sciences, Labor Force Development
Babik, Dmytro; Babik, Iryna – Journal of Information Systems Education, 2022
Successful development of an information system to solve a business problem depends on the analyst's ability to elicit system requirements from a user. This complex competency could be trained via critical peer evaluation of the requirements elicitation (RE) interviews. In this study, 294 students across four pre-pandemic and two COVID-19…
Descriptors: Peer Evaluation, COVID-19, Pandemics, Information Systems
Valerie Sledd Taylor – ProQuest LLC, 2021
Computer science education is being recognized globally as necessary to better prepare students in all grade levels, K-12, for future success. As a result of this focus on computer science education in the United States and around the world, there is an increased demand for highly qualified teachers with content and pedagogical knowledge to…
Descriptors: Preservice Teachers, Teacher Attitudes, Computer Science Education, Academic Standards
Theresa A. Goltermann – ProQuest LLC, 2023
This study explored correlations between Virginia K-8 teachers' confidence in computer science (CS) teaching and their confidence in technology teaching using a quantitative, nonexperimental, explanatory research design. Two constructs of the Teacher Efficacy and Attitudes Toward STEM Survey (Friday Institute for Educational Innovation, 2012b)…
Descriptors: Elementary School Teachers, Middle School Teachers, Self Efficacy, Computer Science Education
Kathy Dowell; Catherine Snyder; Stephanie Marshall – Grantee Submission, 2025
METRICS was a 5-year grant program funded by the U.S. Department of Education designed to immerse elementary school students in computer science. METRICS components included 1) creation and implementation of rigorous computer science curriculum units and assessments to support STEM coursework connected across all subjects through problem-based…
Descriptors: Computer Science Education, Elementary School Curriculum, STEM Education, Problem Based Learning
Hunt-Isaak, Noah; Cherniavsky, Peter; Snyder, Mark; Rangwala, Huzefa – International Educational Data Mining Society, 2020
National failure rates seen in undergraduate introductory CS courses are quite high. In this paper, we develop a predictive model for student in-class performance in an introductory CS course. The model can serve as an early warning system, flagging struggling students who might benefit from additional support. We use a variety of features from…
Descriptors: Textbooks, Surveys, Grade Prediction, Undergraduate Students
Jeremy Roschelle; Judi Fusco; Pati Ruiz – Digital Promise, 2024
As Artificial Intelligence within education becomes increasingly important, Digital Promise reviewed the guidance documents released by seven states--California, North Carolina, Ohio, Oregon, Virginia, Washington state, and West Virginia--on how to approach artificial intelligence (AI) in education. Throughout this report the authors summarize the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Employment Qualifications, Responsibility
Shi, Yang; Schmucker, Robin; Chi, Min; Barnes, Tiffany; Price, Thomas – International Educational Data Mining Society, 2023
Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…
Descriptors: Computer Science Education, Data Analysis, Programming, Coding
Tan, Lin; Bradburn, Isabel S.; Knight, David B.; Kinoshita, Timothy; Grohs, Jacob – International Journal of STEM Education, 2022
Background: Numerous efforts worldwide have been made to increase diversity in engineering and computer science (ECS), fields that pay well and promote upward mobility. However, in the United StatesĀ (U.S.), females and students from underrepresented racial/ethnic minority groups (URM) still pursue ECS training far less than do their peers. The…
Descriptors: College Entrance Examinations, Engineering Education, Computer Science Education, Undergraduate Students
Acharya, Sushil; Manohar, Priyadarshan A.; Wu, Peter Y. – Information Systems Education Journal, 2019
Software Verification and Validation (SV&V) is proven to be an effective approach to ensure software quality. Yet it is not commonly deployed in industry practices. We started a project intent on building a sustainable community skilled in SV&V. The fundamental objective is the transformation of undergraduate education in software…
Descriptors: Computer Science Education, Computer Software, Undergraduate Study, School Business Relationship
Lending, Diane; Fulcher, Keston; Ezell, Jeremy D.; May, Jeffrey L.; Dillon, Thomas W. – Research & Practice in Assessment, 2018
Few examples of demonstrable program learning improvement projects exist. To provide guidance for those seeking to report program learning improvement, we offer a real example of an implemented learning improvement project for a Computer Information Systems major curriculum. The example follows a six-criteria model and the subsequent standards for…
Descriptors: Educational Improvement, Program Implementation, Computer Science Education, Information Systems
Hamouda, Sally; Edwards, Stephen H.; Elmongui, Hicham G.; Ernst, Jeremy V.; Shaffer, Clifford A. – ACM Transactions on Computing Education, 2019
Recursion is one of the most important and hardest topics in lower division computer science courses. As it is an advanced programming skill, the best way to learn it is through targeted practice exercises. But the best practice problems are time consuming to manually grade by an instructor. As a consequence, students historically have completed…
Descriptors: Computer Science Education, Programming, Instructional Effectiveness, Difficulty Level
Zinth, Jennifer – Education Commission of the States, 2016
Allowing high school students to fulfill a math or science high school graduation requirement via a computer science credit may encourage more student to pursue computer science coursework. This Education Trends report is an update to the original report released in April 2015 and explores state policies that allow or require districts to apply…
Descriptors: High School Graduates, Graduation Requirements, Computer Science Education, Educational Trends
Playton, Stephanie D. C.; Hite, Rebecca; Leach, Paula K. – Electronic Journal for Research in Science & Mathematics Education, 2021
Both computer science (CS) knowledge and workforce readiness skills (e.g., creativity, communication, collaboration, and critical thinking) have equally grown in national importance to fill the growing pipeline of CS careers. Various factors have contributed to CS job shortages, which include a lack of student instruction on, engagement with,…
Descriptors: STEM Education, Computer Science Education, Educational Research, Partnerships in Education
Hutchison, Amy; Colwell, Jamie; Gutierrez, Kristie; Evmenova, Anya; Offutt, Jeff; Taylor, Valerie – Journal of Technology and Teacher Education, 2021
New computer science standards are being rapidly introduced at the elementary level but little is known about how to prepare teachers to learn and teach the content of these standards, or how to support students with disabilities in learning computer science. Accordingly, we designed and studied the Inclusive Computer Science Model of Professional…
Descriptors: Computer Science Education, Professional Development, Models, Technology Integration