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Qian Fu; Wenjing Tang; Yafeng Zheng; Haotian Ma; Tianlong Zhong – Interactive Learning Environments, 2024
In this study, a predictive model is constructed to analyze learners' performance in programming tasks using data of programming behavioral events and behavioral sequences. First, this study identifies behavioral events from log data and applies lag sequence analysis to extract behavioral sequences that reflect learners' programming strategies.…
Descriptors: Predictor Variables, Psychological Patterns, Programming, Self Management
Sini Davies; Pirita Seitamaa-Hakkarainen; Kai Hakkarainen – International Journal of Computer-Supported Collaborative Learning, 2024
This study analyzed collaborative invention projects by teams of lower-secondary (13-14-year-old) Finnish students. In invention projects, student teams design and make materially embodied collaborative inventions using traditional and digital fabrication technologies. This investigation focused on the student teams' knowledge creation processes…
Descriptors: Cooperative Learning, Foreign Countries, Secondary School Students, Intellectual Property
Raffaele Di Fuccio; Joanna Kic-Drgas; Joanna Wozniak – Smart Learning Environments, 2024
This paper addresses the limited exploration of the impact of virtual and augmented reality on the learning process, particularly within the context of foreign language learning among young learners. Motivated by this research gap, the EULALIA, conducted from 2019 to 2023 (2019-1-IT02-KA203-063228), sought to evaluate the efficacy of integrating…
Descriptors: Computer Simulation, Computer Oriented Programs, Second Language Learning, Cultural Awareness
Karolína Dockalová Burská; Jakub Rudolf Mlynárik; Radek Ošlejšek – Education and Information Technologies, 2024
In cyber security education, hands-on training is a common type of exercise to help raise awareness and competence, and improve students' cybersecurity skills. To be able to measure the impact of the design of the particular courses, the designers need methods that can reveal hidden patterns in trainee behavior. However, the support of the…
Descriptors: Computer Science Education, Information Security, Computer Security, Training Methods
Jingyuan Chen; Hongfeng Liu – International Journal of Web-Based Learning and Teaching Technologies, 2024
This meta-analysis examines the influence of smart classrooms on students' learning outcome, synthesizing findings from 21 empirical studies. The results indicate a significant overall effect size (SMD = 1.10), suggesting that smart classrooms positively affect learning outcomes more than traditional settings. Cognitive development (SMD = 1.014)…
Descriptors: Computer Uses in Education, Computer Assisted Instruction, Computer Assisted Testing, Influence of Technology
Dongyu Yu; Xing Yao; Kaidi Yu; Dandan Du; Jinyi Zhi; Chunhui Jing – Interactive Learning Environments, 2024
The objective of this study was to determine the differential effects of the presentation position of the augmented reality--head worn display (AR-HWD) interface and the audiovisual-dominant multimodal learning material on learning performance and cognitive load across different learning tasks in training for high-speed train driving. We selected…
Descriptors: Artificial Intelligence, Computer Simulation, Computer Peripherals, Computer Interfaces
André de Sá Braga Oliveira; Luciano César P. C. Leonel; Edward R. LaHood; Bachtri T. Nguyen; Anahid Ehtemami; Stephen P. Graepel; Michael J. Link; Carlos D. Pinheiro-Neto; Nirusha Lachman; Jonathan M. Morris; Maria Peris-Celda – Anatomical Sciences Education, 2024
The 3D stereoscopic technique consists in providing the illusional perception of depth of a given object using two different images mimicking how the right and left eyes capture the object. Both images are slightly different and when overlapped gives a three-dimensional (3D) experience. Considering the limitations for establishing surgical…
Descriptors: Computer Simulation, Photography, Visualization, Models
Andrew Millam; Christine Bakke – Journal of Information Technology Education: Innovations in Practice, 2024
Aim/Purpose: This paper is part of a multi-case study that aims to test whether generative AI makes an effective coding assistant. Particularly, this work evaluates the ability of two AI chatbots (ChatGPT and Bing Chat) to generate concise computer code, considers ethical issues related to generative AI, and offers suggestions for how to improve…
Descriptors: Coding, Artificial Intelligence, Natural Language Processing, Computer Software
Sokratis Tselegkaridis; Theodosios Sapounidis; Dimitrios Stamovlasis – Education and Information Technologies, 2024
Laboratories are considered to play a unique role in circuits teaching. Laboratories can be traditional, with physical components and desks, or virtual with graphical simulators. Applying these facilities in teaching, students can make experiments or measurements by exploring electric circuits' features. However, an intriguing research question is…
Descriptors: Teaching Methods, Electronics, Laboratory Experiments, Meta Analysis
Geetika Ail; Frances Freer; Chui Shan Chan; Melissa Jones; John Broad; Gian Paulo Canale; Pedro Elston; Jessica Leeney; Paula Vickerton – Anatomical Sciences Education, 2024
Immersive virtual reality (i-VR) is a powerful tool that can be used to explore virtual models in three dimensions. It could therefore be a valuable tool to supplement anatomical teaching by providing opportunities to explore spatial anatomical relationships in a virtual environment. However, there is a lack of consensus in the literature as to…
Descriptors: Computer Simulation, Models, Anatomy, Premedical Students
Tony Diaz – Issues in Science and Technology Librarianship, 2024
Student access to desktop computers is still important in today's age of portable electronic and mobile devices. This paper will examine a sample of student usage of desktop computers in a small university library. Survey results indicated that students do find having access to desktop computers is still relevant for their research and personal…
Descriptors: Computers, Academic Libraries, Access to Computers, Technology Uses in Education
Han Wan; Hongzhen Luo; Mengying Li; Xiaoyan Luo – IEEE Transactions on Learning Technologies, 2024
Automatic program repair (APR) tools are valuable for students to assist them with debugging tasks since program repair captures the code modification to make a buggy program pass the given test-suite. However, the process of manually generating catalogs of code modifications is intricate and time-consuming. This article proposes contextual error…
Descriptors: Programming, Computer Science Education, Introductory Courses, Assignments
Imad Abou-Hayt; Bettina Dahl – IEEE Transactions on Education, 2024
Contribution: This article presents a new look at teaching the Laplace transform for engineering students by emphasizing the obsolescence of the current method of finding the inverse Laplace transform when solving differential equations, and by recognizing the important role of a computer-assisted environment in helping the students understand the…
Descriptors: Engineering Education, Problem Solving, Equations (Mathematics), Computation
Catalina Cortázar; Iñaki Goñi; Andrea Ortiz; Miguel Nussbaum – ACM Transactions on Computing Education, 2024
Integrating graduate education with professional skills development is still a challenge. People's beliefs about learning impact their learning processes. Therefore, we need to understand the mindset of graduates to determine best practices for promoting professional skills development. In this study, we explore the perspective of computing…
Descriptors: Computer Science Education, Graduate Students, Computer Literacy, Job Skills
Elliott, Rob – Educational Technology & Society, 2023
Higher education has become dependent on the use of digital materials, which may include texts, audiovisual content, and software applications. Because students in higher education are largely responsible for providing the computing devices they are required to use to interact with their digital course materials, instructors and instructional…
Descriptors: College Students, Computers, Ownership, Access to Computers

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