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Yau, King Woon; CHAI, C. S.; Chiu, Thomas K. F.; Meng, Helen; King, Irwin; Yam, Yeung – Education and Information Technologies, 2023
Artificial intelligence (AI) education for K-12 students is an emerging necessity, owing to the rapid advancement and deployment of AI technologies. It is essential to take teachers' perspectives into account when creating ecologically valid AI education programmes for K-12 settings. However, very few studies investigated teacher perception of AI…
Descriptors: Foreign Countries, Secondary School Teachers, Artificial Intelligence, Teacher Attitudes
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Ng, Davy Tsz Kit; Leung, Jac Ka Lok; Su, Jiahong; Ng, Ross Chi Wui; Chu, Samuel Kai Wah – Educational Technology Research and Development, 2023
The pandemic has catalyzed a significant shift to online/blended teaching and learning where teachers apply emerging technologies to enhance their students' learning outcomes. Artificial intelligence (AI) technology has gained its popularity in online learning environments during the pandemic to assist students' learning. However, many of these AI…
Descriptors: Teacher Competencies, Digital Literacy, 21st Century Skills, Artificial Intelligence
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Petersheim, Corbin; Lahey, Joanna; Cherian, Josh; Pina, Angel; Alexander, Gerianne; Hammond, Tracy – IEEE Transactions on Education, 2023
Contribution: This study identifies which entry-level computer science (CS) resume items are most important and compares the ratings of student and recruiter participants to investigate the accuracy of student beliefs. To the authors' knowledge, this study is the first to analyze the extent to which CS students understand the resume screening…
Descriptors: Undergraduate Students, Computer Science Education, Resumes (Personal), Student Attitudes
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Malik, Khalid Mahmood; Zhu, Meina – Education and Information Technologies, 2023
The need for computer science (CS) education, especially computer network education, is increasing. However, the challenges of teaching students with diverse backgrounds and engaging them in hands-on activities to apply theories into practices exist in CS education. The study addressed the challenges by using project-based learning (PBL) and…
Descriptors: Student Projects, Active Learning, Experiential Learning, Computer Science Education
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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
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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
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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
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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
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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
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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
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Woo, Karen; Falloon, Garry – Journal of Educational Computing Research, 2023
Coding is increasingly popular in schools around the world and is often taught by non-specialist teachers as an integrated task with other subject areas. In this article, we explore the relationship between computer science (CS) concepts and students' multimodal expression in a coding animated narrative (CAN) task in the context of an integrated…
Descriptors: Coding, Computer Science, Animation, Student Projects
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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
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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
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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
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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
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