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Showing 1 to 15 of 26 results Save | Export
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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
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Aysegul Yilmaz; Devkan Kaleci – Educational Policy Analysis and Strategic Research, 2024
The research aims to explore the acquisition of Computational Thinking (CT) sub-skills among 5th and 6th grade secondary school students in Turkey through a block-based programming application, code.org. It seeks to understand if mastering these skills is essential for students globally. This study involved seven volunteer students selected…
Descriptors: Foreign Countries, Computation, Thinking Skills, Mastery Learning
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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
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Ma, Yingbo; Katuka, Gloria Ashiya; Celepkolu, Mehmet; Boyer, Kristy Elizabeth – International Educational Data Mining Society, 2022
Collaborative learning is a complex process during which two or more learners exchange opinions, construct shared knowledge, and solve problems together. While engaging in this interactive process, learners' satisfaction toward their partners plays a crucial role in defining the success of the collaboration. If intelligent systems could predict…
Descriptors: Middle School Students, Cooperative Learning, Prediction, Peer Relationship
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Robbert Smit; Rahel Schmid; Nicolas Robin – British Journal of Educational Technology, 2025
Secondary school students (N = 269) participated in a daylong visual programming course held in a stimulating environment for start-up enterprises. The tasks were application-oriented and partly creative. For example, a wearable device with light-emitting diodes, (ie, LEDs) could be applied to a T-shirt and used for optical messages. Our research…
Descriptors: Self Efficacy, Gender Differences, Prediction, Student Attitudes
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Pere J. Ferrando; David Navarro-González; Fabia Morales-Vives – Educational and Psychological Measurement, 2025
The problem of local item dependencies (LIDs) is very common in personality and attitude measures, particularly in those that measure narrow-bandwidth dimensions. At the structural level, these dependencies can be modeled by using extended factor analytic (FA) solutions that include correlated residuals. However, the effects that LIDs have on the…
Descriptors: Scores, Accuracy, Evaluation Methods, Factor Analysis
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Xin Gong; Zhixia Li; Ailing Qiao – Education and Information Technologies, 2025
Feedback is crucial during programming problem solving, but context often lacks critical and difference. Generative artificial intelligence dialogic feedback (GenAIDF) has the potential to enhance learners' experience through dialogue, but its effectiveness remains sufficiently underexplored in empirical research. This study employed a rigorous…
Descriptors: Artificial Intelligence, Technology Uses in Education, Dialogs (Language), Feedback (Response)
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Costa, Joana Martinho; Miranda, Guilhermina Lobato – Informatics in Education, 2019
This paper presents an approach to the initial programming learning using the four components instructional model and the Alice software. The quasi-experimental design was developed with two groups of students that attended two schools with very different socioeconomic status and school retention levels. The differences obtained in the mean of the…
Descriptors: Computer Software, Instructional Design, Models, Programming
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Cevahir, Hakan; Özdemir, Muzaffer; Baturay, Meltem Huri – Participatory Educational Research, 2022
This study examines the effect of using animation-based worked examples (ARAWEs) that are prepared using Augmented Reality (AR) technology instead of using traditional paper-based worked examples (TWEs) on the achievement, motivation, and attitude of high school students during their programming education. The research was designed through the…
Descriptors: Computer Simulation, Animation, Educational Technology, Technology Uses in Education
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Picones, Gio; PaaBen, Benjamin; Koprinska, Irena; Yacef, Kalina – International Educational Data Mining Society, 2022
In this paper, we propose a novel approach to combine domain modelling and student modelling techniques in a single, automated pipeline which does not require expert knowledge and can be used to predict future student performance. Domain modelling techniques map questions to concepts and student modelling techniques generate a mastery score for a…
Descriptors: Prediction, Academic Achievement, Learning Analytics, Concept Mapping
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Fang, Jian-Wen; Shao, Dan; Hwang, Gwo-Jen; Chang, Shao-Chen – Journal of Educational Computing Research, 2022
Scholars believe that computational thinking is one of the essential competencies of the 21st century and computer programming courses have been recognized as a potential means of fostering students' computational thinking. In tradition instruction, PFCT (problem identification, flow definition, coding, and testing) is a commonly adopted procedure…
Descriptors: Computation, Thinking Skills, Programming, Computer Science Education
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Myers, Matthew C.; Wilson, Joshua – International Journal of Artificial Intelligence in Education, 2023
This study evaluated the construct validity of six scoring traits of an automated writing evaluation (AWE) system called "MI Write." Persuasive essays (N = 100) written by students in grades 7 and 8 were randomized at the sentence-level using a script written with Python's NLTK module. Each persuasive essay was randomized 30 times (n =…
Descriptors: Construct Validity, Automation, Writing Evaluation, Algorithms
Gunbatar, Mustafa Serkan; Turan, Baris – Online Submission, 2019
The aim of the study was to determine the effect of the programming instruction process carried out by using mBlock programming tool on the students' computational thinking skills. The study design was one group pretest-post-test experimental design. Study group was consisted of 82 students enrolled to a secondary school in Edremit district of Van…
Descriptors: Foreign Countries, Middle School Students, Computer Science Education, Programming
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Çinar, Murat; Tüzün, Hakan – Journal of Computer Assisted Learning, 2021
This study compares the effects of object-oriented and robot programming activities on programming achievement, abstraction, problem solving, and motivation. In the study, two consecutive experimental cases were conducted to examine the consistency of findings. The research sample comprises 81 tenth-grade students undergoing vocational secondary…
Descriptors: Vocational High Schools, High School Students, Grade 10, Robotics
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Arslan, Esra; Isbulan, Onur – Malaysian Online Journal of Educational Technology, 2021
In this research, the effects of individual and teamwork activities on perceptions of block-based programming self-efficacy and attitudes towards robotic programming tried to be determined. The research has conducted in a private school located in Sariyer, district of Istanbul province in the 2nd academic year of 2018-2019 with 32 students from…
Descriptors: Computer Science Education, Programming Languages, Robotics, Individual Instruction
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