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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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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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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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Çakiroglu, Ünal; Atabas, Samet; Sariyalçinkaya, Dogukan; Öner, Ibrahim Enes – International Journal of Computer Science Education in Schools, 2020
This article draws on a one-semester online programming course to determine the relationships between the types of feedback that students received and their programming performances. An explorative study was designed including both quantitative and qualitative data. Participants were 15 second-year students enrolled at an Information Technology…
Descriptors: Computer Science Education, Programming, Feedback (Response), Online Courses
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Burgiel, Heidi; Sadler, Philip M.; Sonnert, Gerhard – ACM Transactions on Computing Education, 2020
The number of computer science (CS) courses has been dramatically expanding in U.S. high schools (HS). In comparison with well-established courses in mathematics and science, little is known about how the decisions made by HS CS teachers regarding how and what to teach impact student performance later in introductory college CS courses. Drawing on…
Descriptors: Computer Science Education, High School Students, College Students, High School Teachers
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Suárez, Maria del Mar; Gesa, Ferran – Language Learning Journal, 2019
Video viewing can be a valuable resource to expose students to large quantities of input so they can improve their vocabulary and content comprehension. Most studies so far have used short clips and have not explored in much detail the effects of individual differences (IDs) such as aptitude, listening skills and vocabulary size. This paper aims…
Descriptors: Language Proficiency, Vocabulary Development, Television, Programming (Broadcast)
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Lin, Yu-Tzu; Wu, Cheng-Chih; Chiu, Chiung-Fang – International Journal of Distance Education Technologies, 2018
This article explores the feasibility of employing cooperative program editing tools in teaching programming. A quasi-experimental study was conducted, in which the experimental group co-edited the programs with peers using the wiki. The control group co-edited the programs with peers using only the face-to-face approach. The findings show that…
Descriptors: Foreign Countries, High School Students, Grade 10, Programming
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Saltan, Fatih; Kara, Mehmet – Higher Education Studies, 2016
This study aims to investigate the acceptance of ICT teachers pertaining to the use of Scratch as an Algorithm Visualization (AV) software in terms of perceived ease of use and perceived usefulness. An embedded mixed method research design was used in the study, in which qualitative data were embedded in quantitative ones and used to explain the…
Descriptors: Computer Software, Visualization, Preservice Teachers, Information Technology
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Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
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Hurley, J. Casey; Proffit, Alvin C.; Vihnanek, Elizabeth M.; Moller, Gayle – High School Journal, 2004
Although criticized by many, the Boston Public (BP) television show raises important issues about the realities of high school life. At a time when educational policy makers see a need to improve student test scores, this show suggests that other issues are more important in the lives of modern high school students, teachers, and administrators.…
Descriptors: Programming (Broadcast), High School Students, Scores, Standardized Tests