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Tsortanidou, Xanthippi; Daradoumis, Thanasis; Barberá, Elena – Interactive Learning Environments, 2023
In this paper we propose a universal curricular framework that is intended to aid K-6 schoolteachers holistically and humanistically developing their students' computational thinking (CT) skills (e.g. algorithmic thinking, abstraction, decomposition, generalization, patterns recognition, evaluation, and logical thinking). This framework, which can…
Descriptors: Computation, Thinking Skills, Elementary School Curriculum, Teaching Methods
Haiyan Cai; Gary K. W. Wong – Interactive Learning Environments, 2024
As the impact of digital technologies pervades on our lives at all levels, it is important for students to develop their digital literacy. Computational thinking (CT) education is one pathway helping young students to thrive in the digital world. CT is a critical reasoning process whereby people formulate and solve problems using computers. CT…
Descriptors: Parent Participation, Mental Computation, Thinking Skills, Skill Development
Merino-Armero, José Miguel; González-Calero, José Antonio; Cózar-Gutiérrez, Ramón – Interactive Learning Environments, 2023
In modern society technology is widely used and, with the digitization of many services, this is an upward trend. Therefore, computational thinking (CT) is an increasingly important concept; an aspect that is being reflected on educational policies and the extracurricular offer of different countries. This study aims to look at the efficacy of…
Descriptors: Foreign Countries, Extracurricular Activities, Robotics, Elementary School Students
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
Ünal Çakiroglu; Merve Aydin; Yasemin Köroglu; Merve Ayvaz Kina – Interactive Learning Environments, 2024
This study examines the effectiveness of using augmented reality (AR) in gaining historical empathy skills. AR cards were used in different periods of the history lesson. A mixed design method including pre-test and post-test is used to A mixed methods research design with pre-test and post-test is used to determine the developments in empathy…
Descriptors: Computer Simulation, Empathy, Teaching Methods, Technology Uses in Education
Chen, Ken-Zen; Chi, Hsiao-Han – Interactive Learning Environments, 2022
The purpose of the qualitative study was to investigate experiences of first-time board-game users (29 elementary school students) in playing "Coding Ocean" (CO) to learn computational thinking. CO was a two-team strategy board game and was designed for children developing basic understanding of computational thinking. Participation…
Descriptors: Novices, Elementary School Students, Games, Student Experience
Matere, Isaac M.; Weng, Cathy; Astatke, Melese; Hsia, Chih-Hsien; Fan, Chen-Guo – Interactive Learning Environments, 2023
Recently there has been a change in elementary curricula to focus on computational thinking, however, a good curriculum needs to be matched with good learning or teaching strategies. This study explores design-based learning (DBL) in elementary students to examine the development of computational thinking and to support knowledge construction in…
Descriptors: Design, Elementary School Students, Thinking Skills, Programming
Siu-Cheung Kong; Wei Shen – Interactive Learning Environments, 2024
Logistic regression models have traditionally been used to identify the factors contributing to students' conceptual understanding. With the advancement of the machine learning-based research approach, there are reports that some machine learning algorithms outperform logistic regression models in terms of prediction. In this study, we collected…
Descriptors: Student Characteristics, Predictor Variables, Comprehension, Computation
Khlaisang, Jintavee; Songkram, Noawanit; Huang, Fang; Teo, Timothy – Interactive Learning Environments, 2023
The current study examines antecedents to teachers' behavioral intentions to use smart technologies in Thailand based on the technology acceptance model. 825 primary school teachers participated in a survey consisting of 11 constructs: perceived usefulness, perceived ease of use, attitude towards use, behavioral intention, peer influence,…
Descriptors: Foreign Countries, Teacher Attitudes, Telecommunications, Handheld Devices
Meishar-Tal, Hagit; Kesler, Avital – Interactive Learning Environments, 2023
This study describes an action research study conducted by a teacher who used a digital game generator as a tool to develop thinking skills among primary school students with learning difficulties. Ten 4th-grade students participated in the programme. The students met with the teacher twice a week for six months. The meetings included creating…
Descriptors: Elementary School Students, Grade 4, Learning Problems, Computer Games
Chi-Jen Lin; Husni Mubarok – Interactive Learning Environments, 2024
Fostering young learners' computational thinking in AI-based robots is a crucial issue in educational settings. However, there was the complexity of technology in supporting learning activities and the gender gap issue, so an appropriate strategy is needed to guide students to achieve the learning goals. In this study, an AI (Artificial…
Descriptors: Computation, Thinking Skills, Blended Learning, Artificial Intelligence
Zhang, Xiaohong; Kubota, Kenichi; Kubota, Mayumi; Li, Kedong – Interactive Learning Environments, 2021
The purpose of this study is to examine a Chinese teacher's decision-making and changes in beliefs in a designed, blended learning environment that explored the use of thinking tools (TTs) strategies in nurturing students' thinking skills. The study used a qualitative methodology of Cultural Psychology, Trajectory Equifinality Approach (TEA), to…
Descriptors: Blended Learning, Foreign Countries, Curriculum Development, Decision Making
Murai, Yumiko; Ikejiri, Ryohei; Yamauchi, Yuhei; Tanaka, Ai; Nakano, Seiko – Interactive Learning Environments, 2023
Cultivating children's creativity and imagination is fundamental to preparing them for an increasingly complex and uncertain future. Engaging in creative learning enables children to think independently and critically, work cooperatively, and take risks while actively engaged in meaningful projects. While current trends in education, such as maker…
Descriptors: Creativity, Imagination, Teaching Methods, Computer Science Education
Xiao-Fan Lin; Gwo-Jen Hwang; Jing Wang; Yue Zhou; Wenyi Li; Jiachun Liu; Zhong-Mei Liang – Interactive Learning Environments, 2023
Augmented reality (AR) can represent a contextualised scientific inquiry environment in which students may explore the real world and develop science process skills via interacting with rich information from virtual systems. However, it remains a challenge for most students to complete scientific inquiry tasks without proper support. Research…
Descriptors: Computer Simulation, Active Learning, Inquiry, Behavior Patterns
Xing, Wanli – Interactive Learning Environments, 2021
Previous research has invested much effort in understanding how programming can contribute to the development of young learners' computational thinking (CT) in traditional K-12 classroom settings. Relatively few studies have examined programming for CT in informal online communities, especially for large scale quantitative research. With the…
Descriptors: Programming, Thinking Skills, Computation, Programming Languages