NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 46 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
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
PDF on ERIC Download full text
Muhammed Murat Gümüs; Volkan Kukul; Özgen Korkmaz – Informatics in Education, 2024
This study aims to explain the relationships between secondary school students' digital literacy, computer programming self-efficacy and computational thinking self-efficacy. The study group consists of 204 secondary school students. A relational survey model was used in the research method and three different data collection tools were used to…
Descriptors: Correlation, Middle School Students, Thinking Skills, Digital Literacy
Peer reviewed Peer reviewed
Direct linkDirect link
Vandenberg, Jessica; Lynch, Collin; Boyer, Kristy Elizabeth; Wiebe, Eric – Computer Science Education, 2023
Background and Context: Students' self-efficacy toward computing affect their participation in related tasks and courses. Self-efficacy is likely influenced by students' initial experiences and exposure to computer science (CS) activities. Moreover, student interest in a subject likely informs their ability to effectively regulate their learning…
Descriptors: Elementary School Students, Cooperative Learning, Programming, Network Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Yuan-Chen Liu; Tzu-Hua Huang; Chien-Chia Huang – Interactive Learning Environments, 2024
In this study, an interactive programming learning environment was built with two types of error prompt functions: 1) the key prompt and 2) step-by-step prompt. A quasi-experimental study was conducted for five weeks, in which 75 sixth grade students from disadvantaged learning environments in Taipei, Taiwan, were divided into three groups: 1) the…
Descriptors: Programming, Computer Science Education, Cues, Grade 6
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Totan, Havva Nur; Korucu, Agâh Tugrul – Participatory Educational Research, 2023
The aim of this study is to examine the effect of block-based coding education on middle school students' computational thinking skills and attitudes towards coding with Blocky example. The training phase of the implementation process was planned and implemented by subject experts in 4 weeks and 2 hours a week. In the research, both quantitative…
Descriptors: Programming, Computer Science Education, Student Attitudes, Computation
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
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)
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Arslan Namli, Nihan; Aybek, Birsel – Contemporary Educational Technology, 2022
This paper investigated the effect of block-based programming and unplugged coding teaching activities on fifth graders' computational thinking skills, self-efficacy, and academic performance. The teaching activities were conducted within the scope of the "Problem-Solving and Programming" unit of the Information Technologies and Software…
Descriptors: Programming, Computer Science Education, Grade 5, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Yamaguchi, Ryoko; Hankerson Madrigal, Veronica; Eaton, Cyntrica N.; Burge, Jamika D. – Journal for Multicultural Education, 2023
Purpose: There is a critical need to understand how to attract Black girls and other girls of color to the science, technology, engineering, math, and computer science (STEM+CS) field. This study aims to look at the design and implementation of a CS learning ecosystem that supports girls of color in acquiring critical CS skills starting in middle…
Descriptors: STEM Education, Computer Science Education, Minority Group Students, Females
Carey Davis – ProQuest LLC, 2020
An instructional focus on Science, Technology, Engineering, and Math (STEM) is a current popular educational due to the widespread need for skilled workers in these growing fields. Compounding this labor shortage is the fact that female students and workers are underrepresented in STEM subjects. The purpose of this study was to examine the…
Descriptors: Females, Self Efficacy, Middle School Students, Robotics
Peer reviewed Peer reviewed
Direct linkDirect link
Silvia Wen-Yu Lee; Jyh-Chong Liang; Chung-Yuan Hsu; Meng-Jung Tsai – Interactive Learning Environments, 2024
While research has shown that students' epistemic beliefs can be a strong predictor of their academic performance, cognitive abilities, or self-efficacy, studies of this topic in computer education are rare. The purpose of this study was twofold. First, it aimed to validate a newly developed questionnaire for measuring students' epistemic beliefs…
Descriptors: Student Attitudes, Beliefs, Computer Science Education, Programming
Peer reviewed Peer reviewed
Direct linkDirect link
Teresa M. Ober; Ying Cheng; Meghan R. Coggins; Paul Brenner; Janice Zdankus; Philip Gonsalves; Emmanuel Johnson; Tim Urdan – Computer Science Education, 2024
Background and Context: Differences in children's and adolescents' initial attitudes about computing and other STEM fields may form during middle school and shape decisions leading to career entry. Early emerging differences in career interest may propagate a lack of diversity in computer science and programming fields. Objective: Though middle…
Descriptors: Middle School Students, Student Attitudes, Computer Science Education, STEM Education
Peer reviewed Peer reviewed
Direct linkDirect link
Ma, Hongliang; Zhao, Mei; Wang, Huixin; Wan, Xinqi; Cavanaugh, Terence W.; Liu, Ji – Educational Technology Research and Development, 2021
Computational thinking (CT) is a fundamental skill and an analytical ability that children in the twenty-first century should develop. Students should begin to work with algorithmic problem-solving and computational methods in K-12. Drawing on a conceptual framework (IGGIA) that combines CT and problem-solving, this study designed and implemented…
Descriptors: Computer Science Education, Programming Languages, Thinking Skills, Problem Solving
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4