NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 39 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Yanjia Liu; Chao Qin; Hao He – Journal of Computer Assisted Learning, 2024
Background: The world is moving towards digitalization and intelligence. Programming has become an essential development competency. Even though many countries are currently making great efforts to expand programming education, the programming education in these countries shows an imbalance in geographical and gender dimensions. We found that few…
Descriptors: Programming, Females, Womens Education, Rural Areas
Peer reviewed Peer reviewed
Direct linkDirect link
Miaoting Cheng; Xiaoyan Lai; Da Tao; Juntong Lai; Jun Yang – Education and Information Technologies, 2024
While numerous studies have highlighted the potential benefits of programming environment (PE) use for children's learning, the boundary conditions of children's PE acceptance within the programming education context are less clear. This study fills this gap in the literature by investigating the critical determinants of children's PE use…
Descriptors: Programming, Intention, Competition, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Xue Zhang; Chao Qin; Yanjia Liu; Haipeng Wan – ACM Transactions on Computing Education, 2024
Pair programming is an effective instructional format in programming education for adolescents. Within pair programming, three potential gender combinations may arise: Boy-Boy (BB), Girl-Girl (GG), and Boy-Girl (BG). This study explores the impact of different gender pairings on the programming self-efficacy and collaborative attitudes of…
Descriptors: Programming, Gender Differences, Cooperative Learning, Self Efficacy
Peer reviewed Peer reviewed
Direct linkDirect link
Yildiz Durak, Hatice; Saritepeci, Mustafa; Durak, Aykut – Technology, Knowledge and Learning, 2023
Computational thinking skill is one of the basic skills required for every individual, such as reading and writing. For the development of CT, programming education is seen as the key. In the context of programming and CT relationship, it is very important to model individual characteristics and various affective variables with a holistic approach…
Descriptors: Computation, Thinking Skills, Programming, Individual Characteristics
Peer reviewed Peer reviewed
Direct linkDirect link
Robbert Smit; Rahel Schmid; Nicolas Robin – British Journal of Educational Technology, 2025
Secondary school students (N = 269) participated in a daylong visual programming course held in a stimulating environment for start-up enterprises. The tasks were application-oriented and partly creative. For example, a wearable device with light-emitting diodes, (ie, LEDs) could be applied to a T-shirt and used for optical messages. Our research…
Descriptors: Self Efficacy, Gender Differences, Prediction, Student Attitudes
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Wei-Ying Li; Tzu-Chuen Lu – Informatics in Education, 2024
This study investigates the effect of programming courses on the computational thinking (CT) skills of elementary school students and the learning effectiveness of students from different backgrounds who are studying programming. We designed a OwlSpace programming course into an elementary school curriculum. Students in fourth and fifth grades…
Descriptors: Programming, Computation, Thinking Skills, Elementary School Students
Peer reviewed Peer reviewed
Direct linkDirect link
Liu, Jun; Li, Qingyue; Sun, Xue; Zhu, Ziqi; Xu, Yanhua – Asia Pacific Journal of Education, 2023
Programming self-efficacy plays an important role in promoting interest in programming education among teenagers. Therefore, the purpose of this study was to examine to what extent family socioeconomic status, programming learning, programming teaching, and gender influence programming self-efficacy. A total of 851 upper-secondary-school students…
Descriptors: Programming, Computer Science Education, Self Efficacy, Foreign Countries
Peer reviewed Peer reviewed
Direct linkDirect link
Zdawczyk, Christina; Varma, Keisha – Computer Science Education, 2023
Background and Context: A continued gender disparity has driven a need for effective interventions for recruiting girls to computer science. Prior research has demonstrated that middle school girls hold beliefs and attitudes that keep them from learning computer science, which can be mitigated through classroom design. Objective: This study…
Descriptors: Females, Computer Science Education, Gender Differences, Student Attitudes
Peer reviewed Peer reviewed
Direct linkDirect link
Allaire-Duquette, Geneviève; Chastenay, Pierre; Bouffard, Thérèse; Bélanger, Simon A.; Hernandez, Olivier; Mahhou, Mohamed Amine; Giroux, Patrick; McMullin, Sophie; Desjarlais, Estelle – Canadian Journal of Science, Mathematics and Technology Education, 2022
Many girls believe they have little natural ability in computer science and girls' perception of self-efficacy beliefs for programming is generally low. Offering engaging hands-on programming activities could be a beneficial strategy to increase girls' self-efficacy beliefs for programming since it has the potential to offer them exposure to…
Descriptors: Self Efficacy, Programming, Workshops, Experiential Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Chao Qin; Mengli Zhang; Zhixin Li; Luxin Chen – Education and Information Technologies, 2025
Artificial intelligence (AI) is being deeply integrated into human society. In the future, human collaboration with AI is inevitable. Therefore, exploring the attitudes of future workers--represented by current K-12 children--towards AI has become crucial. Robots stand as typical representatives of AI. Robot programming education is an important…
Descriptors: Foreign Countries, Rural Schools, Elementary School Students, Grade 6
Peer reviewed Peer reviewed
Direct linkDirect link
Daher, Wajeeh – Computers in the Schools, 2022
The robotics context is suggested as a context that supports the learning of the sciences including mathematics. The present study investigates how the robotics context affects students' motivation for learning mathematics. Two groups of seventh-grade students participated in the present research: a robotics class (32 students) and a regular class…
Descriptors: Student Motivation, Mathematics Education, Robotics, Programming
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Filiz Kuskaya Mumcu; Branko Andic; Mirjana Maricic; Mathias Tejera; Zsolt Lavicza – Journal of Educational Technology and Online Learning, 2025
Many education policy strategy documents at the European Union level, as well as national strategies of various countries, recommend including computational thinking as a fundamental skill in curricula. The professional development of teachers should be supported to disseminate computational thinking in K12 education. Teachers' value beliefs about…
Descriptors: Teacher Attitudes, Value Judgment, Beliefs, Computation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Gurer, Melih Derya; Tokumaci, Seyfullah – International Journal of Computer Science Education in Schools, 2020
Literature indicated that attitude toward programming, programming self-efficacy, gender, and students' department was related to achievement in computer programming. However, there is a need for further studies investigating to what extent these factors explain programming achievement in a model. This study aimed to investigate the effects of…
Descriptors: Student Attitudes, Programming, Self Efficacy, Gender Differences
Philip Sands – ProQuest LLC, 2021
Over the past 20 years, the field of computer science has experienced a growth in student interest. Despite this increase in participation rates, longstanding gender gaps persist in computer science. Recent research has examined a wide variety of individual factors (e.g., self-efficacy, sense of belonging, etc.) that impact student interest and…
Descriptors: Computer Science Education, Gender Differences, Prior Learning, Programming
Previous Page | Next Page »
Pages: 1  |  2  |  3