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Direct linkChenyue Wang; Chang Lu; Fu Chen; Xueliang Liu; Qin Zhao; Shuai Wang – Education and Information Technologies, 2024
Computational thinking (CT) competency is essential for K-12 students in the digital societies. Understanding the relationship between students' CT and relevant factors contributes to implementing and improving CT education. Most previous studies investigated the effect of demographic or attitudinal factors on CT performance; whereas few research…
Descriptors: Self Efficacy, Thinking Skills, Problem Solving, Computation
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
Qian Fu; Wenjing Tang; Yafeng Zheng; Haotian Ma; Tianlong Zhong – Interactive Learning Environments, 2024
In this study, a predictive model is constructed to analyze learners' performance in programming tasks using data of programming behavioral events and behavioral sequences. First, this study identifies behavioral events from log data and applies lag sequence analysis to extract behavioral sequences that reflect learners' programming strategies.…
Descriptors: Predictor Variables, Psychological Patterns, Programming, Self Management
Download full textPrasad, Archana; Lal, P.; Wolde, B.; Zhu, M.; Samanthula, B. K.; Panorkou, N. – Journal of STEM Outreach, 2022
Out-of-classroom activities can help cultivate interest and literacy in Science, Technology, Engineering and Mathematics (STEM) subjects. To determine how a week-long out-of-classroom experience might impact STEM interest in adolescents, a free summer camp was offered to students entering grades 6-8. During this time, students participated in…
Descriptors: STEM Education, Camps, Summer Programs, Academic Aspiration
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
Akcaoglu, Mete; Rosenberg, Joshua M.; Hodges, Charles B.; Hilpert, Jonathan C. – Computers in the Schools, 2021
Computer programming is becoming an essential skill for young students regardless of their education or career goals. Therefore, for students to develop and for educators and researchers to accurately measure self-efficacy in and value for programming is important. Although student motivation in subject matter can be measured using self-report…
Descriptors: Middle School Students, Student Attitudes, Value Judgment, Self Efficacy
Computational Thinking Skills, Programming Self-Efficacies and Programming Attitudes of the Students
Günbatar, Mustafa Serkan – International Journal of Computer Science Education in Schools, 2020
The purpose of this research is to examine Computational Thinking (CT) skills, Computer Programming Self-Efficacy (CPSE), and Computer Programming Attitude (CPA) of middle school students who took the Information Technologies & Software (IT&S) courses and those who did not, and make various analyses according to the relationships between…
Descriptors: Thinking Skills, Self Efficacy, Programming, Computer Science Education
Higashi, Ross; Schunn, Christian D. – Journal of Educational Psychology, 2020
Digital badges have long been assumed to possess motivational qualities that could encourage learners to engage with learning content. However, prior studies have found the effects of badges to be complex, differing by learner, type of badge, and potentially other factors. Qualitative reports suggest that individuals' perceptions of digital badges…
Descriptors: Recognition (Achievement), Learner Engagement, Student Attitudes, Student Motivation
Rachmatullah, Arif – ProQuest LLC, 2021
This dissertation conducted a science classroom intervention using two instructional approaches, computational modeling and paper-based pictorial modeling, in the context of food webs. A series of research papers were written on the impact of the intervention on students' attitudes and learning, and on teachers via professional development and…
Descriptors: Teaching Methods, Science Instruction, Food, Intervention
Su, Addison Y. S.; Huang, Chester S. J.; Yang, Stephen J. H.; Ding, T. J.; Hsieh, Y. Z. – Educational Technology & Society, 2015
In Taiwan elementary schools, Scratch programming has been taught for more than four years. Previous studies have shown that personal annotations is a useful learning method that improve learning performance. An annotation-based Scratch programming (ASP) system provides for the creation, share, and review of annotations and homework solutions in…
Descriptors: Foreign Countries, Elementary School Students, Grade 6, Programming
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries
