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Sofie Otto; Stine Ejsing-Duun; Euan Lindsay – Education and Information Technologies, 2025
This study explores the arrival of Generative Artificial Intelligence (GenAI) technologies in a collaborative Problem-Based Learning (PBL) environment from the perspective of students. It examines the emerging practices students develop individually and in groups as well as the tensions they navigate in response to GenAI's sudden arrival, its…
Descriptors: Student Attitudes, Artificial Intelligence, Technology Uses in Education, Problem Based Learning
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
Seyma Özdemir; Cemal Tosun – Education and Information Technologies, 2025
The aim of this study was to determine the visual measurement results related to the behavior/processes of solving skill-based science questions of eighth grade students by eye tracking technique. Non-experimental quantitative research method was used in the research and visual measurement results were supported by heat maps and eye splash…
Descriptors: Grade 8, Eye Movements, Problem Solving, Science Education
Weinhandl, Robert; Houghton, Tony; Lavicza, Zsolt – Education and Information Technologies, 2021
In our technological age, many technologies and real-world objects communicate with each other or partly merge. However, this combination of technologies and real-world objects has not yet found its way into everyday teaching practices in schools to any great extent. To investigate the possibilities of combining technologies and real-world objects…
Descriptors: Mathematical Logic, Mathematics Instruction, Competence, Educational Environment
Chenyue 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
Aslan, Seda Akti; Duruhan, Kemal – Education and Information Technologies, 2021
The goal of this research is to present the effects of virtual learning environments, specifically designed according to the problem-based learning approach (PBL) for 7th-grade students' science lessons. The effects of these specific environments on students' academic success, problem-solving skills and motivations were carefully analyzed and…
Descriptors: Simulated Environment, Educational Environment, Problem Based Learning, Academic Achievement
Gaoxia Zhu; Chew Lee Teo; Aloysius Kian-Keong Ong; Katherine Guangji Yuan; Chin Lee Ker; Yuqin Yang – Education and Information Technologies, 2025
Preparing the new generation to be data-literate citizens is a pressing challenge, and some explorations have been made to cultivate K-12 students' data science skills and attitudes. However, there is a lack of instructional models to guide the design of data science programs in K-12 due to its complex and interdisciplinary nature as well as the…
Descriptors: Data Science, Skill Development, Secondary School Students, Cooperative Learning
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
Kovari, Attila; Katona, Jozsef – Education and Information Technologies, 2023
Negative attitudes and perceptions on programming impair the effectiveness of learning programming skills. In this study the attitude related to programming, problem solving, and self-views on importance of IT/programming knowledge were assessed by pre- and post-test completed at the beginning and at the end of a software development course. The…
Descriptors: Computer Software, Programming, Self Efficacy, Problem Solving
Shu-Chen Cheng; Gwo-Jen Hwang; Chih-Hung Chen – Education and Information Technologies, 2024
Developing students' scientific literacy is the most important educational goal and challenge of the 21st century. Many studies have confirmed that flipped learning has significantly impacted learning science. Researchers indicate that the lack of an appropriate learning guidance strategy in the pre-class stage for flipped learning will influence…
Descriptors: Flipped Classroom, Teaching Methods, Comparative Analysis, Science Instruction
H. Q. Chim; Diana H. J. M. Dolmans; Mirjam G. A. oude Egbrink; Hans H. C. M. Savelberg – Education and Information Technologies, 2024
This study explores the experiences and the preferred schedule of face-to-face and online tutorials in a problem-based learning setting where students learn collaboratively, based on cognitive, social, and teaching presences. Seventeen experienced students and 13 tutors attended semi-structured interviews focusing on their experiences and…
Descriptors: Foreign Countries, Undergraduate Students, Tutors, Tutoring
Roland Kiraly; Sandor Kiraly; Martin Palotai – Education and Information Technologies, 2024
Deep learning is a very popular topic in computer sciences courses despite the fact that it is often challenging for beginners to take their first step due to the complexity of understanding and applying Artificial Neural Networks (ANN). Thus, the need to both understand and use neural networks is appearing at an ever-increasing rate across all…
Descriptors: Artificial Intelligence, Computer Science Education, Problem Solving, College Faculty
Quanpin Lyu; Xiaorong Dai; Ji-Qin Ni; Feifan Wang; Lei Xi; Xiaopeng An; Kaiying Wang – Education and Information Technologies, 2025
Digital transformation has become pivotal for enhancing efficiency and sustainable development in animal husbandry. However, this presents challenges to higher education in animal science, necessitating substantial modifications in education and training to ensure that students acquire the competences required to adapt to this digital…
Descriptors: Animal Husbandry, Science Education, Digital Literacy, Self Efficacy
Göktepe Yildiz, Sevda; Göktepe Körpeoglu, Seda – Education and Information Technologies, 2023
Traditionally, students' various educational characteristics are evaluated according to the grades they get or the results of their answers to the scales. There are some limitations in making an evaluation based on the results. The fuzzy logic approach, which tries to eliminate these limitations, has recently been used in the field of education.…
Descriptors: Foreign Countries, Students, Student Attitudes, Problem Solving
Wang, Meishu; Yu, Rushi; Hu, Jie – Education and Information Technologies, 2023
Knowledge and abilities with social media technologies are perceived as critical premises for human development. Familiarity with different types of social media technologies has become pivotal for collaborative learning and successfully solving problems. This study examined the impact of social media technologies, compartmentalized into social…
Descriptors: Social Media, Computer Use, Student Attitudes, Student Behavior

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