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Xieling Chen; Di Zou; Gary Cheng; Haoran Xie – Education and Information Technologies, 2024
The rise of massive open online courses (MOOCs) brings rich opportunities for understanding learners' experiences based on analyzing learner-generated content such as course reviews. Traditionally, the unstructured textual data is analyzed qualitatively via manual coding, thus failing to offer a timely understanding of the learner's experiences.…
Descriptors: Artificial Intelligence, Semantics, Course Evaluation, MOOCs
Ainhoa Berciano; Astrid Cuida; María-Luisa Novo – Education and Information Technologies, 2025
In the last two decades, computational thinking has gained wide relevance in international educational systems. The inclusion of this new type of thinking poses educational challenges with some underlying research questions that need to be answered to meet these challenges with quality. Thus, this study focuses on analyzing the difficulties that…
Descriptors: Coding, Translation, Programming Languages, Sequential Approach
Ishaya Gambo; Faith-Jane Abegunde; Omobola Gambo; Roseline Oluwaseun Ogundokun; Akinbowale Natheniel Babatunde; Cheng-Chi Lee – Education and Information Technologies, 2025
The current educational system relies heavily on manual grading, posing challenges such as delayed feedback and grading inaccuracies. Automated grading tools (AGTs) offer solutions but come with limitations. To address this, "GRAD-AI" is introduced, an advanced AGT that combines automation with teacher involvement for precise grading,…
Descriptors: Automation, Grading, Artificial Intelligence, Computer Assisted Testing
Pavlos Toukiloglou; Stelios Xinogalos – Education and Information Technologies, 2024
Hour of Code is a widely recognized global event that aims to introduce programming to novice users and integrate computer science into education. This paper presents an analysis of the effectiveness of the support system and user interface of Minecraft Adventurer, a serious game designed for the Hour of Code global event. Although previous…
Descriptors: Novices, Programming, Coding, Computer Science Education
Oscar Karnalim; Hapnes Toba; Meliana Christianti Johan – Education and Information Technologies, 2024
Artificial Intelligence (AI) can foster education but can also be misused to breach academic integrity. Large language models like ChatGPT are able to generate solutions for individual assessments that are expected to be completed independently. There are a number of automated detectors for AI assisted work. However, most of them are not dedicated…
Descriptors: Artificial Intelligence, Academic Achievement, Integrity, Introductory Courses
Shen, Guohua; Yang, Sien; Huang, Zhiqiu; Yu, Yaoshen; Li, Xin – Education and Information Technologies, 2023
Due to the growing demand for information technology skills, programming education has received increasing attention. Predicting students' programming performance helps teachers realize their teaching effect and students' learning status in time to provide support for students. However, few of the existing researches have taken the code that…
Descriptors: Prediction, Programming, Student Characteristics, Profiles
Mosquera, Jose Miguel Llanos; Suarez, Carlos Giovanny Hidalgo; Guerrero, Victor Andres Bucheli – Education and Information Technologies, 2023
This paper proposes to evaluate learning efficiency by implementing the flipped classroom and automatic source code evaluation based on the Kirkpatrick evaluation model in students of CS1 programming course. The experimentation was conducted with 82 students from two CS1 courses; an experimental group (EG = 56) and a control group (CG = 26). Each…
Descriptors: Flipped Classroom, Coding, Programming, Evaluation Methods
Mehmet Ceylan; Durmus Aslan – Education and Information Technologies, 2024
This study was conducted to investigate the effects of learning trajectories-based coding (LTs) and LTs-based program on preschoolers' length, area, volume, and angle measurement skills. A quasi-experimental research design was utilized with a quantitative approach. The study's participants were 47 children between the ages of 55-71 months who…
Descriptors: Learning Trajectories, Coding, Mathematics Skills, Measurement Techniques
Canbeldek, Merve; Isikoglu, Nesrin – Education and Information Technologies, 2023
Recently, coding and robotics education has started to be integrated into early childhood education in Turkey. The current study aims to investigate the effects of "Productive Children: Coding and Robotics Education Program (PCP)" on children's cognitive development skills, language development and creativity. Eighty children, enrolled…
Descriptors: Foreign Countries, Young Children, Kindergarten, Coding
Mehmet Basaran; Sermin Metin; Ömer Faruk Vural – Education and Information Technologies, 2024
The growing significance of coding in 21st-century early childhood education extends beyond technical proficiency, encompassing cognitive development, problem-solving, and creativity. Coding is being integrated globally into educational curricula to prepare students for the digital era. This research examines coding's potential impact on cognitive…
Descriptors: Early Childhood Education, Coding, 21st Century Skills, Social Emotional Learning
Jiang, Haozhe; Chugh, Ritesh; Turnbull, Darren; Wang, Xiaoqin; Chen, Suting – Education and Information Technologies, 2023
The problem motivating this study is the urgent need to explore the antecedents of STEM career interest and the growing importance of coding in STEM careers, coupled with the unclear relationship between intrinsic coding interest and STEM career interest. To narrow the research gap, this study explores the direct and indirect effects of intrinsic…
Descriptors: Foreign Countries, High School Students, Student Interests, Coding
Skulmowski, Alexander – Education and Information Technologies, 2022
Digital learning increasingly makes use of realistic visualizations, although realism can be demanding for learners. Color coding is a popular way of helping learners understand visualizations and has been found to aid in learning with detailed visualizations. However, previous research has shown that color coding must not always be an effective…
Descriptors: Color, Coding, Visualization, Electronic Learning
Abdullahi Yusuf; Norah Md Noor; Shamsudeen Bello – Education and Information Technologies, 2024
Studies examining students' learning behavior predominantly employed rich video data as their main source of information due to the limited knowledge of computer vision and deep learning algorithms. However, one of the challenges faced during such observation is the strenuous task of coding large amounts of video data through repeated viewings. In…
Descriptors: Learning Analytics, Student Behavior, Video Technology, Classification
Zhenhua Wu; Linting Zheng; Li'an Huang – Education and Information Technologies, 2024
Programming has been considered a crucial "object to think with", which can integrate with various disciplines and facilitate learning in other areas. However, existing research primarily focuses on how children learn to code rather than how coding helps them to learn. To address this gap, a quasi-experimental case study was conducted…
Descriptors: Coding, Robotics, Programming, Kindergarten
Fu, Chanjuan; Hao, Xiaoxin; Shi, Donglin; Wang, Lin; Geng, Fengji – Education and Information Technologies, 2023
Coding learning can promote the development of computational thinking (CT) in young children. The effect of coding learning on CT may vary between different cultures. However, it lacks studies to evaluate the effect of coding learning on the various dimensions of CT in young Chinese children. To provide insight into this question, we recruited…
Descriptors: Foreign Countries, Young Children, Computation, Thinking Skills