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Yu Lei; Xin Fu; Jingjie Zhao; Baolin Yi – Education and Information Technologies, 2025
Grouping students according to their abilities and promoting deeper interaction and moderation are key issues in improving computational thinking in collaborative programming. However, the distribution characteristics and evolving pathways of computational thinking in different groups have not been deeply explored. During the course of a…
Descriptors: Ability Grouping, Computation, Programming, Cooperative Learning
Pu Wang; Yifeng Lin; Tiesong Zhao – Education and Information Technologies, 2025
With the emergence of Artificial Intelligence (AI), smart education has become an attractive topic. In a smart education system, automated classrooms and examination rooms could help reduce the economic cost of teaching, and thus improve teaching efficiency. However, existing AI algorithms suffer from low surveillance accuracies and high…
Descriptors: Supervision, Artificial Intelligence, Technology Uses in Education, Automation
Ramnarain-Seetohul, Vidasha; Bassoo, Vandana; Rosunally, Yasmine – Education and Information Technologies, 2022
In automated essay scoring (AES) systems, similarity techniques are used to compute the score for student answers. Several methods to compute similarity have emerged over the years. However, only a few of them have been widely used in the AES domain. This work shows the findings of a ten-year review on similarity techniques applied in AES systems…
Descriptors: Computer Assisted Testing, Essays, Scoring, Automation
Gao, Hongyu; Yang, Weipeng; Jiang, Yunxiao – Education and Information Technologies, 2023
Computational thinking (CT) is a new literacy of 21st century that can be transferred to and applied in different real-world situations, although being derived from the discipline of computer science. Tangible robots or child-friendly digital apps are used to implement coding education with the goal of promoting young children's CT. However, there…
Descriptors: Preschool Children, Foreign Countries, Computation, Thinking Skills
Seckel, María José; Salinas, Carolina; Font, Vicenç; Sala-Sebastià, Gemma – Education and Information Technologies, 2023
The recognition that the development of Computational Thinking (CT) has been achieved in the educational systems of different countries implies, in some cases, the challenge of integrating its development into mathematics lessons. Although various proposals address the development of CT in the early years of schooling, educational robotics emerges…
Descriptors: Guidelines, Computation, Thinking Skills, Robotics
Ioannis Vourletsis; Panagiotis Politis – Education and Information Technologies, 2025
Computational thinking (CT) is regarded as a valuable skill set for the students of the 21st century, fostering problem-solving skills applicable to academic disciplines and everyday problems. Assessing CT involves evaluating the development of its concepts, practices, and perspectives. However, establishing comprehensive and validated assessments…
Descriptors: Computation, Thinking Skills, Elementary School Students, Translation
Siu-Cheung Kong; Ming Lai; Yugen Li; Tak-Yue Dickson Chan – Education and Information Technologies, 2025
Concepts and practices are widely used to assess students' development in computational thinking (CT). However, less is known about how the development of each construct relates to that of the other. With a sample of 997 grade 6 students (average age = 11.43 at the beginning of the school year) from 14 primary schools, we examined the…
Descriptors: Computation, Thinking Skills, Elementary School Students, Student Development
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
Ünal Çakiroglu; Volkan Selçuk – Education and Information Technologies, 2025
In recent years, when computational thinking (CT) has become increasingly important, utilizing machine learning (ML) techniques provides a revolutionary method for comprehending and improving cognitive skills for young students. However, few studies deepen the process of learning ML and CT. This exploratory study aims to investigate the impact of…
Descriptors: Thinking Skills, Computation, Grade 5, Secondary School Students
Nardie Fanchamps; Emily van Gool; Lou Slangen; Paul Hennissen – Education and Information Technologies, 2024
Learning basic concepts of programming resulting in a development on computational thinking (CT) can be reached by means of digital programming environments. As a counterpart, the application of unplugged programming activities seems also to have promising potential regarding the impact on CT. The main characteristic of unplugged programming is…
Descriptors: Computation, Thinking Skills, Programming, Computer Peripherals
Gülgün Afacan Adanir; Ibrahim Delen; Yasemin Gulbahar – Education and Information Technologies, 2024
Computational thinking is a relatively new field for teachers and educational researchers, where new pedagogical approaches emerge to teach various aspects of computational thinking that covers various thinking abilities and techniques for solving problems. Computational thinking concept received great attention from researchers and instructors…
Descriptors: Early Childhood Education, Elementary Education, Computation, Thinking Skills
Hailin Ning; Yao Lu; Wancheng Yang; Zhi Li – Education and Information Technologies, 2024
Based on the purpose of improving the communication power of the computational intelligence short videos of China Communist Youth League, this paper takes six typical computational intelligence short video IDs and their popular computational intelligence short videos of the Communist Youth League at the provincial level as the research object…
Descriptors: Computation, Intelligence, Video Technology, Social Systems
Gary K. W. Wong; Shan Jian; Ho-Yin Cheung – Education and Information Technologies, 2024
This study examined the developmental process of children's computational thinking using block-based programming tools, specifically algorithmic thinking and debugging skills. With this aim, a group of children (N = 191) from two primary schools were studied for two years beginning from the fourth grade, as they engaged in our block-based…
Descriptors: Thinking Skills, Skill Development, Computation, Algorithms
Jiang, Shiyan; Qian, Yingxiao; Tang, Hengtao; Yalcinkaya, Rabia; Rosé, Carolyn P.; Chao, Jie; Finzer, William – Education and Information Technologies, 2023
As artificial intelligence (AI) technologies are increasingly pervasive in our daily lives, the need for students to understand the working mechanisms of AI technologies has become more urgent. Data modeling is an activity that has been proposed to engage students in reasoning about the working mechanism of AI technologies. While Computational…
Descriptors: Computation, Thinking Skills, Cognitive Processes, Artificial Intelligence
Li, Qiang; Liu, Ze-xue; Wang, Peng; Wang, Jing-jing; Luo, Tian – Education and Information Technologies, 2023
Computational thinking (CT) and design thinking (DT) are critical tools for students to improve their problem-solving abilities. CT is most commonly used in science and technology fields such as computer science and mathematics, whereas DT is more commonly used in the design field. This study evaluates the impact of art programming education on…
Descriptors: College Students, Art Education, Design, Thinking Skills