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Carvalho, Floran; Henriet, Julien; Greffier, Francoise; Betbeder, Marie-Laure; Leon-Henri, Dana – Journal of Education and e-Learning Research, 2023
This research is part of the Artificial Intelligence Virtual Trainer (AI-VT) project which aims to create a system that can identify the user's skills from a text by means of machine learning. AI-VT is a case-based reasoning learning support system can generate customized exercise lists that are specially adapted to user needs. To attain this…
Descriptors: Learning Processes, Algorithms, Artificial Intelligence, Programming Languages
Tisza, Gabriella; Markopoulos, Panos; King, Heather – Education and Information Technologies, 2023
Programming and creative thinking are important skills for the twenty-first century. A large body of evidence suggests that a playful approach to learning helps children engage deeply with programming, improves their creative thinking skills, and shapes a positive attitude towards programming. However, such research has rarely considered how…
Descriptors: Socioeconomic Background, Childrens Attitudes, Programming, Creative Thinking
Xu, Enwei; Wang, Wei; Wang, Qingxia – Education and Information Technologies, 2023
Computational thinking is considered to be an important competence in the intelligent era, and the incorporation of computational thinking as an integral part of school education beginning in childhood has been proposed. However, the ways in which computational thinking can be taught more effectively the context of in K-12 programming teaching…
Descriptors: Programming, Instructional Effectiveness, Elementary School Students, Secondary School Students
Hansen, Nils Kristian; Hadjerrouit, Said – International Association for Development of the Information Society, 2023
This paper aims at using a Use-Modify-Create approach to explore students' mathematical problem solving by means of computational thinking (CT) and programming activities. The data collection method is participant observation, in which the researcher also has the role as teacher, guiding the group activities. In our study, two groups of students…
Descriptors: Problem Solving, Computation, Thinking Skills, Programming
Rucker, Ryan – Journal of Open, Flexible and Distance Learning, 2023
Online learning has risen in popularity among learners, educators, and university administrators over the last 3 decades. However, one of the biggest challenges for educators is adapting to best practices, pedagogies, tools, and technologies when delivering instruction in this environment. Because learners have choices when enrolling in a…
Descriptors: Student Satisfaction, Programming, Information Science Education, Teaching Methods
Babak Mahjour; Andrew McGrath; Andrew Outlaw; Ruheng Zhao; Charles Zhang; Tim Cernak – Journal of Chemical Education, 2023
Data science is becoming a mainstay in research. Despite this, very few STEM graduates matriculate with basic formal training in programming. The current lesson plan was developed to introduce undergraduates studying chemistry or biology to chemoinformatics and data science in medicinal chemistry. The objective of this lesson plan is to introduce…
Descriptors: Undergraduate Students, Chemistry, Biology, Information Science
Samson O. Adeoye; Heather Lindberg; B. Bagby; Anne M. Brown; Feras A. Batarseh; Eric K. Kaufman – NACTA Journal, 2023
Cyberbiosecurity is an emerging field at the convergence of life sciences and the digital world. As technological advances improve operational processes and expose them to vulnerabilities in agriculture and life sciences, cyberbiosecurity has become increasingly important for addressing contemporary concerns. Unfortunately, at this time,…
Descriptors: Computer Security, Biology, Biological Sciences, Labor Force Development
Arawjo, Ian Anders – ProQuest LLC, 2023
I situate computer programming as a cultural practice. I develop this perspective in two ways: exploring how programming practices can support intercultural learning, and examining how programming tools themselves embed cultural assumptions and values. For the former, I study how relationships across difference are formed over computing activities…
Descriptors: Computer Science Education, Programming, Cultural Influences, Elementary Secondary Education
Diana Kirk; Andrew Luxton-Reilly; Ewan Tempero – ACM Transactions on Computing Education, 2025
Objectives: Code style is an important aspect of text-based programming because programs written with good style are considered easier to understand and change and so improve the maintainability of the delivered software product. However teaching code style is complicated by the existence of many style guides and standards that contain…
Descriptors: Computer Science Education, Programming, Computer Software, Teaching Methods
Stella Xin Yin; Dion Hoe-Lian Goh; Choon Lang Quek; Zhengyuan Liu – Educational Technology & Society, 2025
With the growing popularity of computational thinking (CT) classes in K-12 schools, it is important to investigate public perceptions of these initiatives. Analyzing public discussions and opinions provides valuable insights that can inform future educational policies and reforms. In this paper, we collected questions and answers related to CT…
Descriptors: Computation, Thinking Skills, Elementary Secondary Education, Public Opinion
Brittany Devies; Lauren Bullock; Daniel M. Jenkins; Scott J. Allen; Joanna Stanberry – New Directions for Student Leadership, 2025
This article explores the pedagogical considerations of using pop-culture podcasts as an instructional strategy in leadership development. We clarify key concepts, evaluate podcasts as an instructional tool, and provide recommendations and implications for their integration into leadership learning experiences. While an important consideration for…
Descriptors: Leadership Training, Popular Culture, Audio Equipment, Telecommunications
Erkan Er; Gökhan Akçapinar; Alper Bayazit; Omid Noroozi; Seyyed Kazem Banihashem – British Journal of Educational Technology, 2025
Despite the growing research interest in the use of large language models for feedback provision, it still remains unknown how students perceive and use AI-generated feedback compared to instructor feedback in authentic settings. To address this gap, this study compared instructor and AI-generated feedback in a Java programming course through an…
Descriptors: Student Evaluation, Student Attitudes, Feedback (Response), Artificial Intelligence
Erik Forsberg; Anders Sjöberg – Measurement: Interdisciplinary Research and Perspectives, 2025
This paper reports a validation study based on descriptive multidimensional item response theory (DMIRT), implemented in the R package "D3mirt" by using the ERS-C, an extended version of the Relevance subscale from the Moral Foundations Questionnaire including two new items for collectivism (17 items in total). Two latent models are…
Descriptors: Evaluation Methods, Programming Languages, Altruism, Collectivism
Umar Alkafaween; Ibrahim Albluwi; Paul Denny – Journal of Computer Assisted Learning, 2025
Background: Automatically graded programming assignments provide instant feedback to students and significantly reduce manual grading time for instructors. However, creating comprehensive suites of test cases for programming problems within automatic graders can be time-consuming and complex. The effort needed to define test suites may deter some…
Descriptors: Automation, Grading, Introductory Courses, 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

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