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Masaya Okada; Koryu Nagata; Nanae Watanabe; Masahiro Tada – IEEE Transactions on Learning Technologies, 2024
A learner can autonomously acquire knowledge by experiencing the world, without necessarily being explicitly taught. The contents and ways of this type of real-world learning are grounded on his/her surroundings and are self-determined by computing real-world information. However, conventional studies have not modeled, observed, or understood a…
Descriptors: Computation, Learning Analytics, Experiential Learning, Self Management
Fan Xu; Ana-Paula Correia – Journal of Computing in Higher Education, 2024
As online learning has become an inevitable trend in the post-peak era of the COVID-19 pandemic, distributed pair programming (DPP) is gaining momentum in both education and industry. DDP serves as a collaborative programming approach and also benefits the development of computational thinking, a fundamental skill in today's world. This study…
Descriptors: Programming, Computer Science Education, Cooperative Learning, Learning Activities
Pankaj Chejara; Luis P. Prieto; Yannis Dimitriadis; Maria Jesus Rodriguez-Triana; Adolfo Ruiz-Calleja; Reet Kasepalu; Shashi Kant Shankar – Journal of Learning Analytics, 2024
Multimodal learning analytics (MMLA) research has shown the feasibility of building automated models of collaboration quality using artificial intelligence (AI) techniques (e.g., supervised machine learning (ML)), thus enabling the development of monitoring and guiding tools for computer-supported collaborative learning (CSCL). However, the…
Descriptors: Learning Analytics, Attribution Theory, Acoustics, Artificial Intelligence
Giorgia Adorni; Alberto Piatti; Engin Bumbacher; Lucio Negrini; Francesco Mondada; Dorit Assaf; Francesca Mangili; Luca Maria Gambardella – Technology, Knowledge and Learning, 2025
In recent years, the emphasis on computational thinking (CT) has intensified as an effect of accelerated digitalisation. While most researchers are concentrating on defining CT and developing tools for its instruction and assessment, we focus on the characteristics of computational thinking problems (CTPs) -- activities requiring CT to be…
Descriptors: Computation, Thinking Skills, Problem Solving, Learning Activities
Tanya Chichekian; Joel Trudeau; Tawfiq Jawhar; Dylan Corliss – Journal of Computer Assisted Learning, 2024
Background: Despite its obvious relevance to computer science, computational thinking (CT) is transdisciplinary with the potential of impacting one's analytical ability. Although countless efforts have been invested across K-12 education, there is a paucity of research at the postsecondary level about the extent to which CT can contribute to…
Descriptors: College Students, Computation, Thinking Skills, Transfer of Training
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
Melro, Ana; Tarling, Georgie; Fujita, Taro; Kleine Staarman, Judith – Journal of Educational Computing Research, 2023
Underpinning the teaching of coding with Computational Thinking has proved relevant for diverse learners, particularly given the increasing demand in upskilling for today's labour market. While literature on computing education is vast, it remains unexplored how existing CT conceptualisations relate to the learning opportunities needed for a…
Descriptors: Coding, Computation, Thinking Skills, Learning Processes
Halvoník, Dominik; Kapusta, Jozef; Munk, Michal – Interactive Learning Environments, 2023
The main aim of this paper is to present results of an experimental test focused on the validity and effectiveness of composed methodology aimed at increasing the student's attention in Virtual Learning Environment. Areas of presented methodology which were subject of our research is students behavior during learning. The behavioral part of…
Descriptors: Electronic Learning, Time on Task, Learning Management Systems, Attention
Suritno Fayanto; I Nyoman Sudana Degeng; Syaad Patmanthara; Saida Ulfa – Science Education International, 2024
Design-Based Learning and computational thinking (CT) are two key components that support each other specifically in the learning process involving the development of experimental design. Both components emphasize the importance of integration between computational thinking and design-based learning to support a creative, innovative and data…
Descriptors: Computation, Thinking Skills, Teacher Effectiveness, Courses
Irem Nur Çelik; Kati Bati – Informatics in Education, 2025
In this study, we aimed to investigate the impact of cooperative learning on the computational thinking skills and academic performances of middle school students in the computational problem-solving approach. We used the pretest-posttest control group design of the quasiexperimental method. In the research, computational problem-solving…
Descriptors: Cooperative Learning, Academic Achievement, Computation, Thinking Skills
Alfaro-Ponce, Berenice; Patiño, Azeneth; Sanabria-Z, Jorge – Cogent Education, 2023
Education has undergone many changes in teaching and learning, intensified by the significant technological developments that have responded to the fourth industrial revolution and other emergent situations. In this context, developing information and communication technologies has become vital in supporting new ways and learning models in the…
Descriptors: Computation, Thinking Skills, Citizen Participation, Game Based Learning
Zebel-Al Tareq; Raja Jamilah Raja Yusof – IEEE Transactions on Education, 2024
Contribution: A problem-solving approach (PSA) model derived from major computational thinking (CT) concepts. This model can be utilized to formulate solutions for different algorithmic problems and translate them into effective active learning methods. Background: Different teaching approaches for programming are widely available; however, being…
Descriptors: Models, Problem Solving, Computation, Thinking Skills
Lorien Cafarella; Lucas Vasconcelos – Education and Information Technologies, 2025
Middle school students often enter Computer Science (CS) classes without previous CS or Computational Thinking (CT) instruction. This study evaluated how Code.org's block-based programming curriculum affects middle school students' CT skills and attitudes toward CT and CS. Sixteen students participated in the study. This was a mixed methods action…
Descriptors: Middle School Students, Computation, Thinking Skills, Problem Solving
Wang, Xinyue; Cheng, Mengmeng; Li, Xinfeng – Journal of Educational Computing Research, 2023
Computational thinking (CT) is considered a fundamental skill that everyone in the 21st century should have. Game-based learning (GBL) may be used to teach CT, and it's necessary to clarify how to design and implement game-based CT teaching. The literature was systematically searched for empirical studies published between 2011 and 2021.…
Descriptors: Computation, Thinking Skills, Game Based Learning, Teaching Methods
Huang, Joey; Parker, Miranda C. – Computer Science Education, 2023
Background and Context: Computational thinking (CT) is a critical part of computing education in middle school. The existing practices of collaboration and collaborative design activities at this education level pairs well with CT practices, but this interaction has previously been under-explored in the existing literature. Objective: In this…
Descriptors: Computation, Thinking Skills, Cooperative Learning, Skill Development