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Hamer, Jessica M. M.; Kemp, Peter E. J.; Wong, Billy; Copsey-Blake, Meggie – International Journal of Science Education, 2023
Despite being in a digital age, the diversity of young people choosing to study and work in computing is of ongoing concern, especially low numbers of girls. This paper aims to determine the profile of students who are more likely to aspire to be computer scientists and provide insights into the key factors that shape their aspirations in this…
Descriptors: Foreign Countries, Secondary School Students, Student Attitudes, Occupational Aspiration
El-Hamamsy, Laila; Bruno, Barbara; Avry, Sunny; Chessel-Lazzarotto, Frédérique; Dehler Zufferey, Jessica; Mondada, Francesco – ACM Transactions on Computing Education, 2023
Context: With the introduction of Computer Science (CS) into curricula worldwide, teachers' adoption of CS pedagogical content is essential to ensure the long-term success of reform initiatives. Continuing Professional Development (CPD) programs play a key role in this process. Unfortunately, adoption is seldom evaluated in CS-CPDs or CPDs in…
Descriptors: Elementary School Teachers, Computer Science Education, Computer Science, Adoption (Ideas)
Ruohan Liu; Jennifer L. Maeng; Shanan C. Moots; Joanna K. Garner – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2025
This randomized control trial evaluated the impact of a year-long professional development (PD) program on elementary teachers' CS content knowledge, self-efficacy, and CS implementation. It also investigated teachers' PD experiences and expectations. The findings suggest that treatment teachers' self-efficacy for teaching CS significantly…
Descriptors: Elementary School Teachers, Capacity Building, Faculty Development, Computer Science Education
Hengtao Tang; Yingxiao Qian; Susan Porter-Voss – Education and Information Technologies, 2024
Integrating computer science (CS) content into existing STEM curricula emerges as a viable solution to broadening rural students' participation in CS, but rural students have a significant proficiency gap in science and mathematics. By focusing on an English language arts course as the context for CS integration, this exploratory study examined…
Descriptors: Rural Areas, Computer Science, Self Efficacy, Robotics
Remsh Nasser Alqahtani; Ahmad Zaid Almassaad – Education and Information Technologies, 2025
The aim of research is to reveal the effect of a training program based on the TAWOCK model for teaching computational thinking skills on teaching self-efficacy among computer teachers. It used the quasi-experimental approach, with a pre-test and post-test design with a control group. An electronic training program based on the TAWOCK model was…
Descriptors: Models, Teaching Methods, Computation, Thinking Skills
Stephanie Yang; Miles Baird; Eleanor O’Rourke; Karen Brennan; Bertrand Schneider – ACM Transactions on Computing Education, 2024
Students learning computer science frequently struggle with debugging errors in their code. These struggles can have significant downstream effects--negatively influencing how students assess their programming ability and contributing to their decision to drop out of CS courses. However, debugging instruction is often an overlooked topic, and…
Descriptors: Computer Science Education, Troubleshooting, Programming, Teaching Methods
Tuba Ketenci; Brendan Calandra; Jonathan Cohen; Maggie Renken; Nurjamal Chonoeva – Journal of Research on Technology in Education, 2023
The goal of this study was to examine how two groups of middle school students' self-efficacy, interest, goal orientation, and prior experience related to evidence of their building upon existing ideas and code in digital artifacts they created using MIT's App Inventor, a computational practice that Brennan and Resnick (2012) identified as…
Descriptors: Middle School Students, Coding, Computer Science Education, Self Efficacy
Peidi Gu; Zui Cheng; Cheng Miaoting; John Poggio; Yan Dong – Journal of Computer Assisted Learning, 2025
Background: Today, the importance of STEM (Science, Technology, Engineering and Mathematics) education and training is widely recognised and accepted. Computer programming courses have become essential in higher education to nurture students' programming, analysis and computational skills, which are vital for success in all STEM fields and areas.…
Descriptors: Active Learning, Student Projects, Individualized Instruction, Student Motivation
Anak Agung Gde Ekayana; Ni Nyoman Parwati; Ketut Agustini; I Gede Ratnaya – Journal of Technology and Science Education, 2025
Students must grasp creative thinking as a crucial 21st-century talent to enhance learning achievement. Empirical research indicates that pupils' creative thinking skills and learning achievements require enhancement and attention. This study examines the impact of a project-based learning framework with STEAM methodology and self-efficacy levels…
Descriptors: Student Projects, Active Learning, STEM Education, Art Education
Irene Govender; Reginald G. Govender; Desmond Wesley Govender – Educational Process: International Journal, 2025
Background/purpose: This research explores the use of robotics to facilitate the learning of computer programming among non-specialist pre-service teachers with no prior programming experience. With the increasing demand for 21st-century teaching competencies, it is essential to equip future educators with computational thinking (CT) skills, even…
Descriptors: Robotics, Coding, Preservice Teachers, Computer Science Education
Raymond Todd Schenk – ProQuest LLC, 2022
This study sought to understand the "influence of robotics on self-efficacy and interest in computer science." It provides the background that has led to the current research need. The study conducted was a double pre-test, repeated measures post-test quasi-experimental study, performed by the researcher to determine the effects of a…
Descriptors: Robotics, Self Efficacy, Computer Science Education, Student Interests
Yvonne Kao; Daniel Murphy; Aleata Hubbard Cheuoua; Priya Kannan; Jennifer Tsan; Kyle E. Jennings; Heather Smith; Shameeka Emanuel; Emily R. Miller – WestEd, 2023
In spring 2022, WestEd conducted a literature review to summarize the major frameworks used in career intentions research and the evidence supporting each framework, as well as to develop an initial set of constructs to guide the development of a brief, culturally sensitive computing career intentions survey measuring individual, situational, and…
Descriptors: Career Planning, Computer Science Education, Test Bias, Self Efficacy
Yin-Rong Zhang; Zhong-Mei Han; Tao He; Chang-Qin Huang; Fan Jiang; Gang Yang; Xue-Mei Wu – Journal of Computer Assisted Learning, 2025
Background: Collaborative programming is important and challenging for K12 students. Scaffolding is a vital method to support students' collaborative programming learning. However, conventional scaffolding that does not fade may lead students to become overly dependent, resulting in unsatisfactory programming performance. Objectives: This study…
Descriptors: Middle School Students, Grade 8, Scaffolding (Teaching Technique), Programming
Sibley F. Lyndgaard; Corey E. Tatel; Victoria Pham; Julia E. Melkers; Ruth Kanfer – International Journal of Lifelong Education, 2024
For adults engaged in formal learning, self-efficacy judgements may have substantial impact on key learning attitudes and outcomes. A complex systems/person-centric perspective emphasises the importance of contextual features of adult life, yet extant study of self-efficacy is largely constrained to judgements of competence in course activities.…
Descriptors: Self Efficacy, Adults, Masters Programs, Graduate Students
Chiao Ling Huang; Lianzi Fu; Shih-Chieh Hung; Shu Ching Yang – Journal of Computer Assisted Learning, 2025
Background: Many studies have highlighted the positive effects of visual programming instruction (VPI) on students' learning experiences, programming self-efficacy and flow experience. However, there is a notable gap in the research on how these factors specifically impact programming achievement and learning intentions. Our study addresses this…
Descriptors: Attention, Self Efficacy, Visual Aids, Instructional Effectiveness