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Trofimova, Ellina; Asgharzadeh Kangachar, Shahla; Weynberg, Karen D.; Willows, Robert D.; Jaschke, Paul R. – Biochemistry and Molecular Biology Education, 2023
With the global increase of infections caused by antibiotic-resistant bacterial strains, there is an urgent need for new methods of tackling the issue. Genomic analysis of bacterial strains can help to understand their virulence and antibiotic resistance profile. Bioinformatic skills are in great demand across the biological sciences. We designed…
Descriptors: Genetics, Science Instruction, Microbiology, Information Science
Mumcu, Filiz; Kidiman, Esra; Özdinç, Fatih – Journal of Pedagogical Research, 2023
Integrating computational thinking (CT) into various disciplines via computer science (CS) methods such as unplugged, block-based, text-based, and physical programming is a trending topic in educational sciences. This study presents a perspective on implementing an unplugged computer science activity to integrate CT into mathematics education.…
Descriptors: Computation, Thinking Skills, Mathematics Education, Learning Activities
Gökoglu, Seyfullah; Kilic, Servet – E-Learning and Digital Media, 2023
This study investigates pre-service computer science (CS) teachers' perspectives on the factors affecting their programming abilities, concerns about their future professional lives, and pedagogical suggestions for effective programming teaching. The participants of the study were twenty-eight pre-service CS teachers studying at eighteen different…
Descriptors: Programming, Computer Science Education, Preservice Teachers, Teaching Methods
Geerts, Nelly; Schirmer, Werner; Vercruyssen, Anina; Glorieux, Ignace – International Journal of Lifelong Education, 2023
Existing research on digital inclusion has shown that older adults (65+) are, in general, less digitally skilled than other age groups. While older adults can gain digital skills through 'cold' (formal) training by ICT instructors or through 'warm' (informal) support from family and friends, studies have suggested that formal training is more…
Descriptors: Older Adults, Technological Literacy, Teacher Role, Computer Science Education
Parker, Miranda C. – ACM Transactions on Computing Education, 2023
In the age of computing, there still exist many schools that do not offer computer science courses. The reason can be esoteric to designers of interventions, curricula, and policies. This study aims to answer the research question: "What do school officials perceive as barriers to and supports for offering computer science courses at their…
Descriptors: Barriers, Computer Science Education, High Schools, Affordances
Hamlen, Karla R.; Chu, Pong P. – IEEE Transactions on Education, 2023
Background: Engineering curricula often consist of separate courses that do not form a cohesive learning experience. Researchers revised an undergraduate computer engineering curriculum at an urban university, seeking to improve motivation and achievement in an important population that is traditionally underrepresented in STEM fields.…
Descriptors: Spiral Curriculum, Student Projects, Class Activities, Student Motivation
Shah, Niral; Yadav, Aman – TechTrends: Linking Research and Practice to Improve Learning, 2023
The push for computing education in P-12 schools, which parallels the ongoing proliferation of computing in society, has accelerated in recent years. With respect to racially minoritized groups, this dynamic of computing creep has manifested in calls to "broaden participation," typically with the promise of access to economic…
Descriptors: Computer Science Education, Access to Education, Inclusion, Minority Group Students
Chung, Cheng-Yu; Hsiao, I-Han; Lin, Yi-Ling – Journal of Research on Technology in Education, 2023
Creating practice questions for programming learning is not an easy job. It requires the instructor to diligently organize heterogeneous learning resources. Although educational technologies have been adopted across levels of programming learning, programming question generation (PQG) is still predominantly performed by instructors without…
Descriptors: Artificial Intelligence, Programming, Questioning Techniques, Heterogeneous Grouping
Chen, Peggy P. – New Directions for Teaching and Learning, 2023
Many introductory computer science (CS) courses are intended to address the increased demand for computer literacy and the development of cross-cutting concepts and practices of computational thinking (CT). Colleges and universities offer introductory CS courses every semester toward this end. The issue is centered on how to support CT learning in…
Descriptors: Introductory Courses, Computer Science Education, Computer Literacy, Thinking Skills
Antti-Jussi Lakanen; Ville Isomöttönen – Informatics in Education, 2023
This research investigates university students' success in their first programming course (CS1) in relation to their motivation, mathematical ability, programming self-efficacy, and initial goal setting. To our knowledge, these constructs have not been measured in a single study before in the Finnish context. The selection of the constructs is in…
Descriptors: Foreign Countries, College Students, Student Motivation, Self Efficacy
Alannah Oleson – ProQuest LLC, 2023
To realize more equitable technology futures, it is not enough to simply adapt technology to be more inclusive "after" it is created. We will also need to equip technology creators with the skills they need to critically reflect upon bias and exclusion "during" the technology design process. The question of how to best to…
Descriptors: Computation, Computer Science Education, Inclusion, Decision Making
Cheryl Beauchamp; Holly M. Matusovich – Journal of Cybersecurity Education, Research and Practice, 2023
A growing number of academic institutions have invested resources to integrate cyber ranges for applying and developing cybersecurity-related knowledge and skills. Cyber range developers and administrators provided much of what is known about cyber range resources and possible educational applications; however, the educator provides valuable…
Descriptors: Information Technology, Computer Security, Information Security, Drills (Practice)
de Vera, Shaun P. – ProQuest LLC, 2023
Contributing to a growing body of research on broadening participation in computing for historically underrepresented racial communities (e.g., Black and Latinx), this qualitative study describes the knowledge (content and sources) six antiracist Computer Science (CS) teachers have about examples (and counterexamples) of modern techno-racism, a…
Descriptors: Racism, Computer Science Education, Middle School Teachers, High School Teachers
Vandenberg, Jessica; Lynch, Collin; Boyer, Kristy Elizabeth; Wiebe, Eric – Computer Science Education, 2023
Background and Context: Students' self-efficacy toward computing affect their participation in related tasks and courses. Self-efficacy is likely influenced by students' initial experiences and exposure to computer science (CS) activities. Moreover, student interest in a subject likely informs their ability to effectively regulate their learning…
Descriptors: Elementary School Students, Cooperative Learning, Programming, Network Analysis
Peer reviewedPriti Oli; Rabin Banjade; Jeevan Chapagain; Vasile Rus – Grantee Submission, 2023
This paper systematically explores how Large Language Models (LLMs) generate explanations of code examples of the type used in intro-to-programming courses. As we show, the nature of code explanations generated by LLMs varies considerably based on the wording of the prompt, the target code examples being explained, the programming language, the…
Descriptors: Computational Linguistics, Programming, Computer Science Education, Programming Languages

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