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Mara Kirdani-Ryan; Amy J. Ko – ACM Transactions on Computing Education, 2024
For computing to serve humanity, computing spaces must be safe for all individuals. While prior work has surfaced how hegemonic racial and gendered expectations manifest in computing, it has only indirectly attended to expectations surrounding neurodivergence. As computing stereotypes largely align with stereotypes of some neurodivergent…
Descriptors: Neurodevelopmental Disorders, Stereotypes, Disabilities, Computer Attitudes
Aditya Johri – ACM Transactions on Computing Education, 2025
Computing education has historically sought to align the education students receive in their formal programs with the proficiency required to succeed in the workplace. In recent years, research in this area has focused on "dispositions" which are affective qualities that are integral to completing work tasks and a component of…
Descriptors: Computer Science Education, Lifelong Learning, Workplace Learning, Informal Education
The Determinants of Impact of Personal Traits on Computational Thinking with Programming Instruction
Yuan-Chen Liu; Tzu-Hua Huang; Chia-Ling Sung – Interactive Learning Environments, 2023
Computational thinking is an important skill in computer science since the 1960s, and it is closely related to problem solving. Almost all research related to computational thinking mentions problem solving. Although some research has been conducted on computational thinking, few studies examined the impact of personal traits on students'…
Descriptors: Personality Traits, Computation, Thinking Skills, Programming
Amanpreet Kaur; Kuljit Kaur Chahal – Education and Information Technologies, 2024
Research so far has overlooked the contribution of students' noncognitive factors to their performance in introductory programming in the context of personalized learning support. This study uses learning analytics to design and implement a Dashboard to understand the contribution of introductory programming students' learning motivation,…
Descriptors: Learning Analytics, Introductory Courses, Programming, Computer Science Education
Elisabeth Omand Grønhøj; Billy Wong; Jeppe Bundsgaard – Computer Science Education, 2025
Background and Context: Cultural and social influences from peers, family, and media shape young people's views on technology careers. This study examines Danish students' perceptions and discourses of IT professionals and technology occupations. Objective: Unlike earlier studies focusing on science or STEM as a monolith, this study specifically…
Descriptors: Freehand Drawing, Computer Science Education, Student Attitudes, Information Technology
ChanMin Kim; Brian R. Belland; Lucas Vasconcelos; Roger B. Hill – SAGE Open, 2024
In this qualitative study, preservice early childhood education teachers created block-based code to control robots and used the robots in field experience at local preschools. The study is grounded in a conceptual framework that weaves together playful programing and resilience, interlocking concepts that can explain sustained engagement during…
Descriptors: Play, Resilience (Psychology), Preservice Teachers, Computer Science
Gurung, Regan A. R.; Mai, Theresa; Nelson, Matthew; Pruitt, Sydney – Teaching of Psychology, 2022
Background: Instructors and students are on a continuing quest to identify predictors of learning. Objective: This study examines the associations between self-reported exam score and study techniques among students in two courses, Introductory Psychology and Computer Science. Method: We used an online survey to measure the extent students (N =…
Descriptors: Predictor Variables, Study Skills, Thinking Skills, Metacognition
Anette Bentz; Bernhard Standl – ACM Transactions on Computing Education, 2024
Digital literacy is considered to be crucial for social and professional participation. Hence, several projects have been launched in school, as well as extracurricular activities to promote digital literacy in middle school. They aim, among other things, to increase interest in the so-called STEM subjects (science, technology, engineering, and…
Descriptors: Digital Literacy, Computer Science Education, Extracurricular Activities, Middle School Students
Linda J. Sax; Kaitlyn N. Stormes; Maxx F. Pereyra – ACM Transactions on Computing Education, 2025
To cultivate more computing talent (including more diverse talent), it is important to understand how college students experience their computing courses and if such experiences vary based on students' gender and racial/ethnic identities. In this paper, we focus on course modality to understand whether taking courses in-person, online, or a hybrid…
Descriptors: Computer Science Education, Electronic Learning, Online Courses, Delivery Systems
Ran Wei – Cogent Education, 2024
The utilisation of the RIASEC Theory, based on the Holland Code, has gained substantial popularity in the realm of career planning. Nevertheless, only a limited number of studies have explored the potential influence of the six personality types identified in the Realistic-Investigative-Artistic-Social-Enterprising-Conventional Theory (RIASEC…
Descriptors: Foreign Countries, Undergraduate Students, Educational Theories, Career Choice
Tlili, Ahmed; Denden, Mouna; Essalmi, Fathi; Jemni, Mohamed; Chang, Maiga; Kinshuk; Chen, Nian-Shing – Interactive Learning Environments, 2023
The ability of automatically modeling learners' personalities is an important step in building adaptive learning environments. Several studies showed that knowing the personality of each learner can make the learning interaction with the provided learning contents and activities within learning systems more effective. However, the traditional…
Descriptors: Learning Analytics, Learning Management Systems, Intelligent Tutoring Systems, Bayesian Statistics

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