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Seongyune Choi; Hyeoncheol Kim – Education and Information Technologies, 2025
Attention to programming education from K-12 to higher education has been growing with the aim of fostering students' programming ability. This ability involves employing appropriate algorithms and computer codes to solve problems and can be enhanced through practical learning. However, in a formal educational setting, it is challenging to provide…
Descriptors: Foreign Countries, High School Freshmen, Programming, Artificial Intelligence
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Cederqvist, Anne-Marie – Education and Information Technologies, 2020
Programming has recently become part of Swedish technology education; pupils should now be able to analyse existing programmed technological solutions, and be able to design new ones. Teachers facing this curriculum change need guidance on how to teach and what to address, based on how pupils understand the content. The aim of this study is to…
Descriptors: Programming, Foreign Countries, Technology Education, Middle School Students
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Yuan-Chen Liu; Tzu-Hua Huang; Chia-Ling Sung – Interactive Learning Environments, 2023
Computational thinking is an important skill in computer science since the 1960s, and it is closely related to problem solving. Almost all research related to computational thinking mentions problem solving. Although some research has been conducted on computational thinking, few studies examined the impact of personal traits on students'…
Descriptors: Personality Traits, Computation, Thinking Skills, Programming
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Jui-Hung Chang; Chi-Jane Wang; Hua-Xu Zhong; Hsiu-Chen Weng; Yu-Kai Zhou; Hoe-Yuan Ong; Chin-Feng Lai – Educational Technology Research and Development, 2024
Amidst the rapid advancement in the application of artificial intelligence learning, questions regarding the evaluation of students' learning status and how students without relevant learning foundation on this subject can be trained to familiarize themselves in the field of artificial intelligence are important research topics. This study…
Descriptors: Artificial Intelligence, Technological Advancement, Student Evaluation, Models
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Demir, Ömer; Seferoglu, Süleyman Sadi – Journal of Educational Computing Research, 2021
This study's goal was to investigate the effect of homogeneous and heterogeneous pairs in terms of individual differences on group compatibility, flow, and coding performance in pair programming. In line with this goal, five individual difference variables of gender, learning style, friendship, the conscientiousness component of personality…
Descriptors: College Students, Programming, Coding, Cooperative Learning
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Anna Y. Q. Huang; Jei Wei Chang; Albert C. M. Yang; Hiroaki Ogata; Shun Ting Li; Ruo Xuan Yen; Stephen J. H. Yang – Educational Technology & Society, 2023
To improve students' learning performance through review learning activities, we developed a personalized intervention tutoring approach that leverages learning analysis based on artificial intelligence. The proposed intervention first uses text-processing artificial intelligence technologies, namely bidirectional encoder representations from…
Descriptors: Academic Achievement, Tutoring, Artificial Intelligence, Individualized Instruction
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Zeybek, Gülçin – i.e.: inquiry in education, 2021
In this study, it is aimed to determine the effect of the layered curriculum activities on students' academic achievement and retention of learning and to determine the students' views regarding the applied program. The research was carried out with random experimental model with pretest-posttest control group. In addition to quantitative data,…
Descriptors: Curriculum, Teaching Methods, Academic Achievement, Retention (Psychology)
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Sözeri, Mahmut Can; Kert, Serhat Bahadir – International Journal of Computer Science Education in Schools, 2021
In this study, the effects of interactive video usage in programming education on academic achievement and self-efficacy perception of programming were investigated by taking into account learning styles. The research was patterned according to the causal-comparative model, and also, correlation analysis was performed for related research.…
Descriptors: Correlation, Interactive Video, Programming, Academic Achievement
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Lin, Che-Chern; Liu, Zi-Cheng; Chang, Chih-Lin; Lin, Yu-Wen – IEEE Transactions on Education, 2019
Contribution: An online genetic algorithm-based remedial learning system is presented in order to strengthen students' understanding of object-oriented programming (OOP) concepts by tailoring personalized learning materials according to each student's strengths and weaknesses. Background: Prior studies on computer programming education have…
Descriptors: Individualized Instruction, Remedial Instruction, Computer Science Education, Programming Languages
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Çakiroglu, Ünal; Er, Betül; Ugur, Nursel; Aydogdu, Esra – International Journal of Computer Science Education in Schools, 2018
This study attempts to understand the relationship between learning styles and self-regulated learning of preservice computer teachers in a programming course. Students' strategies for self-regulation with regard to their learning styles were assessed on the basis of qualitative data in terms of programming course. The Turkish version of…
Descriptors: Learning Strategies, Independent Study, Programming, Computer Science Education
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Amira, Teimzit; Lamia, Mahnane; Hafidi, Mohamed – International Journal of Information and Communication Technology Education, 2019
Recent years have brought the need for new pedagogical approaches that appeal to the involvement and participation of learners in the learning process. One of these approaches is the flipped classroom, which gives to learners the possibility to prepare for the next class, through pre-recorded video lectures and close-ended problems. Many studies…
Descriptors: Mathematics Instruction, Educational Technology, Technology Uses in Education, Video Technology
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Ennouamani, Soukaina; Mahani, Zouhir; Akharraz, Laila – Education and Information Technologies, 2020
To date, the growth usage of mobile technologies and devices as well as the ubiquitous wireless communication have led to the development of new systems and applications in many fields and areas including education. This technological progress can be used to facilitate the students' lives by creating smart and personalized solutions considering…
Descriptors: Management Systems, Telecommunications, Handheld Devices, Computer Software
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Rusli, Muhammad; Negara, I. Komang Rinartha Yasa – Turkish Online Journal of Distance Education, 2017
The effectiveness of a learning depends on four main elements, they are content, desired learning outcome, instructional method and the delivery media. The integration of those four elements can be manifested into a learning module which is called multimedia learning or learning by using multimedia. In learning context by using computer-based…
Descriptors: Animation, Multimedia Instruction, Cognitive Style, Programming
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Theodoropoulos, Anastasios; Antoniou, Angeliki; Lepouras, George – ACM Transactions on Computing Education, 2017
Is there any relationship between students' cognitive style and the ability to learn programming through serious games? The aim of this work is to assess the learning effectiveness and motivational appeal of digital games for learning basic programming concepts, involving secondary education students. For this purpose, the Code.org®'s activity…
Descriptors: Foreign Countries, Cognitive Style, Computer Science Education, Programming
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Maaliw, Renato R. III; Ballera, Melvin A. – International Association for Development of the Information Society, 2017
The usage of data mining has dramatically increased over the past few years and the education sector is leveraging this field in order to analyze and gain intuitive knowledge in terms of the vast accumulated data within its confines. The primary objective of this study is to compare the results of different classification techniques such as Naïve…
Descriptors: Classification, Cognitive Style, Electronic Learning, Decision Making
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