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Sanal Kumar T. S.; R. Thandeeswaran – Education and Information Technologies, 2024
The COVID-19 pandemic has forced a significant increase in the utilization of video-based e-learning platforms for programming education. These platforms never considered the essential attributes of student characteristics and learning preferences while designing such a problematic subject having high dropout and failure rates. The traditional…
Descriptors: Blended Learning, Electronic Learning, Higher Education, Programming
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
Hua-Xu Zhong; Jui-Hung Chang; Chin-Feng Lai; Pei-Wen Chen; Shang-Hsuan Ku; Shih-Yeh Chen – Education and Information Technologies, 2024
Artificial intelligence (AI) education is becoming an advanced learning trend in programming education. However, AI subjects can be difficult to understand because they require high programming skills and complex knowledge. This makes it challenging to determine how different departments of students are affected by them. This study draws on…
Descriptors: Undergraduate Students, Artificial Intelligence, Programming, STEM Education
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
The Determinants of Impact of Personal Traits on Computational Thinking with Programming Instruction
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
Lin, Xuefen; Tang, Wei; Ma, Weifeng; Liu, Yang; Ding, Feng – Education and Information Technologies, 2023
The use of video lectures has become a core feature of digital learning, but how the media diversity carried in videos affects learning experience has been rarely studied. Adopting a two-factor experimental design, this study used cognitive style questionnaires, brain wave detection, cognitive load scale, and post-test to explore the impacts of…
Descriptors: Cognitive Style, Learning Experience, Programming, Video Technology
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
Hsu, Jane Lu; Jones, Abram; Lin, Jia-Huei; Chen, You-Ren – Teaching Statistics: An International Journal for Teachers, 2022
The objective of this study is to present and discuss how data visualization can be incorporated into teaching approaches by business faculty in introductory business statistics to strengthen business students' practical skills. Data visualization lessens difficulties in learning statistics by providing opportunities to illustrate analytical…
Descriptors: Statistics Education, Introductory Courses, COVID-19, Pandemics
Zhong, Baichang; Wang, Yanxia – International Journal of Technology and Design Education, 2021
Pair learning (PL) in robotics education is derived from pair programming, and impacted by many factors. Two important factors were identified including roles assignment and learning styles in this study. The roles assignment involved Driver-Navigator Pair and Software-Hardware Pair. For the learning style, the dimension of active/reflective was…
Descriptors: Cooperative Learning, Role, Robotics, Cognitive Style
Lily R. Liang; Rui Kang – International Journal for the Scholarship of Teaching and Learning, 2024
This study examines the impact of a situated learning class framework on student learning and sense of belonging in a first-year introductory computer programming course offered at an urban commuter campus. The framework provided students opportunities to engage in hands-on activities embedded in authentic contexts facilitated or led by students…
Descriptors: Undergraduate Students, Computer Science Education, Commuting Students, Sense of Community
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
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
Huang, Sheng-Bo; Jeng, Yu-Lin; Lai, Chin-Feng – Journal of Educational Computing Research, 2021
In recent years, the government has actively set up computer programming courses to train those with the relevant talent; however, the learning performance of the students is not ideal. Therefore, in order to learn programming skills, students usually adopt note-taking strategies because, due to the pressure of the course, the teachers do not have…
Descriptors: Notetaking, Learning Strategies, Cognitive Style, Peer Teaching
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)
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