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Hawlitschek, Anja; Dietrich, André; Zug, Sebastian – Computer Science Education, 2023
Background and Context: During online learning, it is essential to provide instructional guidance to support learning. However, guidance can be given in different forms and quantities. Thus, one important challenge is to provide the right amount and type of instructional guidance. Objective: The aim of the study is to investigate types of guidance…
Descriptors: Computer Science Education, Electronic Learning, Distance Education, Teaching Methods
Samim Mirhosseini – ProQuest LLC, 2023
Computer science instructors typically have many responsibilities, such as creating material, delivering lectures, clarifying student questions, and grading student deliverables, while the demand for computer science education has been increasing. Handling all of these responsibilities is challenging in itself. However, it is made worse when…
Descriptors: Computer Science Education, Teacher Responsibility, Faculty Workload, Instructional Materials
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
Amy Hutchison; Kristie Gutierrez; Jamie Colwell; Anya Evmenova; Jeff Offutt; Margaret Gross – Journal of Research on Technology in Education, 2023
This article reports results from the implementation of a model of professional development (PD) to help K-5 teachers develop the knowledge and skills to teach Computer Science (CS) in classrooms of diverse students, including students with high-incidence disabilities. This article describes our Inclusive CS model of PD, how we made the PD model…
Descriptors: Inclusion, Computer Science Education, Pandemics, COVID-19
Amaya, Edna Johanna Chaparro; Restrepo-Calle, Felipe; Ramírez-Echeverry, Jhon J. – Journal of Information Technology Education: Research, 2023
Aim/Purpose: This article proposes a framework based on a sequential explanatory mixed-methods design in the learning analytics domain to enhance the models used to support the success of the learning process and the learner. The framework consists of three main phases: (1) quantitative data analysis; (2) qualitative data analysis; and (3)…
Descriptors: Learning Analytics, Guidelines, Student Attitudes, Learning Processes
Maia Lust; Mart Laanpere – Educational Media International, 2023
Since the last curriculum reform in 2011, all Estonian lower-secondary students have to conduct a year-long creative work. Unfortunately, in many cases, it is implemented as an individual written report that has little to do with improving learners' digital competence or Computational Thinking skills. In the new national curriculum (to be in force…
Descriptors: Student Projects, Creativity, Grade 8, Foreign Countries
Saira Anwar; Ahmed Ashraf Butt; Muhsin Menekse – Grantee Submission, 2023
This study explored the effectiveness of scaffolding in students' reflection writing process. We compared two sections of an introductory computer programming course (N=188). In Section 1, students did not receive any scaffolding while generating reflections, whereas in Section 2, students were scaffolded during the reflection writing process.…
Descriptors: Scaffolding (Teaching Technique), Writing Instruction, Writing Processes, Writing (Composition)
Fincher, Sally A., Ed.; Robins, Anthony V., Ed. – Cambridge University Press, 2019
This Handbook describes the extent and shape of computing education research today. Over fifty leading researchers from academia and industry (including Google and Microsoft) have contributed chapters that together define and expand the evidence base. The foundational chapters set the field in context, articulate expertise from key disciplines,…
Descriptors: Computer Science Education, Educational Research, School Business Relationship, Employer Attitudes
Kyungbin Kwon; Thomas A. Brush; Keunjae Kim; Minhwi Seo – Journal of Educational Computing Research, 2025
This study examined the effects of embodied learning experiences on students' understanding of computational thinking (CT) concepts and their ability to solve CT problems. In a mixed-reality learning environment, students mapped CT concepts, such as sequencing and loops, onto their bodily movements. These movements were later applied to robot…
Descriptors: Thinking Skills, Computer Science Education, Robotics, Programming
Jean J. Ryoo; Michelle Choi; Wei Wei; Jacqualyn Blizzard-Caron; Ryan Clarke; Lillian Kohn; Daniel Voloch – Journal of Research on Technology in Education, 2025
This paper explores how minoritized Computer Science (CS) students articulate their sense of critical agency to positively impact the world around them, both for today and the future, when participating in a Girls Who Code program focused on ethics, equity, and underrepresentation in computing. Observations, interviews, and surveys were conducted…
Descriptors: Computer Science Education, Middle School Students, High School Students, Clubs
Xiaoni Zhang – Journal of Information Systems Education, 2025
This teaching tip explores the integration of AI tools into database education. The author describes how instructors can use AI tools to prepare teaching materials and how students can use AI to facilitate database development. The teaching tips provided encompass both course-level objectives and assignment-specific strategies. The inclusion of AI…
Descriptors: Databases, Technology Integration, Critical Thinking, Thinking Skills
Ozlem Oktay; Ilknur Reisoglu; Seyda Gul; Dilek Teke; Mustafa Sozbilir; Ilayda Gunes; Rumeysa Yildiz; Gulsah Atila; Aysegul Yazar; Lauri Malmi; Päivi Kinnunen; Jarkko Lampiselkä; Arja Kaasinen – Scandinavian Journal of Educational Research, 2025
The aim of this study is to compare the master's (MA) theses in Türkiye (TR) and Finland (FIN) published between 2015-2019. A total of 765 theses were analysed in terms of year, discipline, methodological approach, research method, didactic foci, data collection tool, target group, and sample size. The results showed that FIN theses grounded on…
Descriptors: Foreign Countries, Masters Theses, STEM Education, Intellectual Disciplines
Paulina Haduong; Karen Brennan – Computer Science Education, 2025
Background and Context: Learning to create self-directed and personally authentic programming projects involves encountering challenges and learning to get unstuck. Objective: This article investigates how one U.S. fourth-grade classroom engaged in practices which emphasized community supports, in the context of the classroom's implementation and…
Descriptors: Grade 4, Computer Science Education, Instructional Design, Programming
Ramle, Rosni; Rosli, D'oria Islamiah; Nathan, Shelena Soosay; Berahim, Mazniha – International Journal of Evaluation and Research in Education, 2020
Dijkstra algorithm is important to be understood because of its many uses. However, understanding it is challenging. Various methods to teach and learn had been researched, with mixed results. The study proposes question-led approach of the algorithm in a game-based learning context. The game designed based on an existing game model, developed and…
Descriptors: Game Based Learning, Mathematics, Graphs, Instructional Effectiveness
Zhou, Ninger; Cao, Yucheng; Jacob, Sharin; Richardson, Debra Jane – ACM Transactions on Computing Education, 2020
Effective and equitable CS [computer science] teaching is contingent on teachers' robust understanding of equity issues in CS classrooms. To this end, this study examined high school teachers' perceptions of equity during their participation in a CS teacher certificate program over two years. The participants are from various disciplines and from…
Descriptors: High School Teachers, Teacher Attitudes, Computer Science Education, Teacher Certification