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Zhang, Jingjing; Huang, Yicheng; Gao, Ming – Journal of Learning Analytics, 2022
Network analytics has the potential to examine new behaviour patterns that are often hidden by the complexity of online interactions. One of the varied network analytics approaches and methods, the model of collective attention, takes an ecological system perspective to exploring the dynamic process of participation patterns in online and flexible…
Descriptors: Network Analysis, Video Technology, MOOCs, Attention Control
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Berssanette, Joao Henrique; de Francisco, Antonio Carlos – IEEE Transactions on Education, 2022
Contribution: This article features a systematic literature review with the objective of presenting a study that reflects the current scenario of research on the cognitive load theory (CLT) in the domain of teaching and learning computer programming. Background: Computer programming is a highly cognitive skill, requiring mastering multiple…
Descriptors: Cognitive Ability, Programming, Computer Science Education, Mastery Learning
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Blaney, Jennifer M.; Barrett, Julia – Community College Journal of Research and Practice, 2022
Supporting upward transfer students is critical to diversifying STEM. This study provides insight into how we can best support upward transfer students in computing, one of the least diverse STEM disciplines. Specifically, we expand upon recent research on sense of belonging to examine how the predictors of belonging might be unique for upward…
Descriptors: Gender Differences, Equal Education, Sense of Community, Computer Science Education
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Merino-Armero, José Miguel; González-Calero, José Antonio; Cózar-Gutiérrez, Ramón – Journal of Research on Technology in Education, 2022
The interest in computational thinking development at pre-university education stage is increasing. In this study, a meta-analysis was conducted to address two main objectives: (a) to analyze the effectiveness of empirical interventions in K-12 education for the development of Computational Thinking (CT); and (b) to identify and evaluate the…
Descriptors: Meta Analysis, Computer Science Education, Thinking Skills, Intervention
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Qian, Yizhou; Lehman, James – Journal of Research on Technology in Education, 2022
This study investigated common student errors and underlying difficulties of two groups of Chinese middle school students in an introductory Python programming course using data in the automated assessment tool (AAT) Mulberry. One group of students was from a typical middle school while the other group was from a high-ability middle school. By…
Descriptors: Middle School Students, Programming, Computer Science Education, Error Patterns
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McGill, Monica M.; Reinking, Anni – ACM Transactions on Computing Education, 2022
Problem: K-12 teachers face many challenges when teaching a new subject like computer science (CS). They are often far removed from the research being conducted to identify evidence-driven solutions to these challenges. Likewise, researchers are also often removed from the challenges of classroom practices that teachers face when teaching CS.…
Descriptors: Evidence Based Practice, Middle School Teachers, Computer Science Education, Partnerships in Education
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Ragonis, Noa; Shmallo, Ronit – Informatics in Education, 2022
Object-oriented programming distinguishes between instance attributes and methods and class attributes and methods, annotated by the "static" modifier. Novices encounter difficulty understanding the means and implications of "static" attributes and methods. The paper has two outcomes: (a) a detailed classification of aspects of…
Descriptors: Programming, Computer Science Education, Concept Formation, Thinking Skills
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Awaah, Fred; Okebukola, Peter; Shabani, Juma; Solarin, Daniel; Emmanuel Okyere, Ekwam – Cogent Education, 2022
The Culturo-Techno-Contextual Approach (CTCA) is a teaching method based on culture, technology, and context to ease difficulties in students' understanding of concepts. Python Programming as a concept in computer studies is difficult for students to understand at the secondary school level. This study investigates the efficacy of the CTCA in…
Descriptors: Teaching Methods, Computer Science Education, Programming Languages, Secondary School Students
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Danielak, Brian – Cognition and Instruction, 2022
This paper focuses on a historically understudied area in computing education: attending to students' *design thinking* in university-level introductory programming courses. I offer an account of one student--"Rebecca"--and her experiences and code from a second-semester course on programming concepts for engineers. Using data from both…
Descriptors: Design, Computer Science Education, Programming, Introductory Courses
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Yong, Su Ting; Gates, Peter – International Journal of Virtual and Personal Learning Environments, 2022
A study was conducted to explore student self-efficacy, motivation, and performance in learning programming online. A questionnaire was administered to 132 students in a Foundation in Engineering programme using the Computer Programming Self-Efficacy Scale and Intrinsic Motivation Inventory. Then, exam performance and Moodle logs were used to…
Descriptors: Emergency Programs, Distance Education, Electronic Learning, Programming
Bruno, Paul; Pérez, Mariam Saffar; Lewis, Colleen M. – Policy Analysis for California Education, PACE, 2022
High schools in California--and around the country--increasingly offer computer science (CS) and often would like to expand CS offerings further. However, these expansions pose a number of challenges for administrators and policymakers, especially if they are going to happen effectively and equitably. We consider four of the most pressing…
Descriptors: High Schools, Computer Science Education, Equal Education, Teacher Supply and Demand
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Nongkhai, Lalita Na; Wang, Jingyun; Mendori, Takahiko – International Association for Development of the Information Society, 2022
This paper proposes the design of an ontology of multiple programming languages and give three examples to show the methodology. Our ontology aims to summarize the core of computational thinking logic by elaborating the concepts of three object-oriented programming languages in the industry: Python, Java, and C#. Therefore, the construction of the…
Descriptors: Programming Languages, Computer Science Education, Intelligent Tutoring Systems, Thinking Skills
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Jessica Gale; Meltem Alemdar; Katherine Boice; Diley Hernández; Sunni Newton; Douglas Edwards; Marion Usselman – Journal for STEM Education Research, 2022
This study explores student agency in the context of a culturally authentic computer science (CS) curriculum implemented in an introductory CS course in two high schools. Drawing on focus group and interview data, the study utilizes qualitative research methods to examine how students exercise critical agency as they engage in the course and how…
Descriptors: Personal Autonomy, Computer Science Education, Self Concept, Student Projects
Jakob E. Barnard – ProQuest LLC, 2022
This project examined the adoption of cybersecurity into computing programs within liberal arts programs and whether the rate constitutes an innovative program. The research questions focused on the lived experience existing faculty members have had with the cybersecurity curriculum within liberal arts computing programs. Liberal arts general…
Descriptors: Hermeneutics, Phenomenology, Computer Security, Computer Science Education
Kai Presler-Marshall – ProQuest LLC, 2022
Software engineering is a growing field, with ever-increasing demand for capable engineers who can design, implement, and test the software that is needed for the modern world. With this increasing demand for software engineers, there is a corresponding increase in the demand placed on computer science programs that graduate these engineers.…
Descriptors: Computer Science Education, Automation, Surveys, Computer Software
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