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Kurt VanLehn; Fabio Milner; Chandrani Banerjee; Jon Wetzel – International Journal of Artificial Intelligence in Education, 2024
An algebraic model uses a set of algebraic equations to describe a situation. Constructing such models is a fundamental skill, but many students still lack the skill, even after taking several algebra courses in high school and college. For such students, we developed instruction that taught students to decompose the to-be-modelled situation into…
Descriptors: Algebra, Mathematical Models, Low Achievement, Mathematics Instruction
Mark W. Isken – INFORMS Transactions on Education, 2025
A staple of many spreadsheet-based management science courses is the use of Excel for activities such as model building, sensitivity analysis, goal seeking, and Monte-Carlo simulation. What might those things look like if carried out using Python? We describe a teaching module in which Python is used to do typical Excel-based modeling and…
Descriptors: Spreadsheets, Models, Programming Languages, Monte Carlo Methods
Gerit Wagner; Laureen Thurner – Journal of Information Systems Education, 2025
Git, as the leading version-control system, is frequently employed by software developers, digital product managers, and knowledge workers. Information systems (IS) students aspiring to fill software engineering, management, or research positions would therefore benefit from familiarity with Git. However, teaching Git effectively can be…
Descriptors: Computer Science Education, Information Systems, Teaching Methods, Computer Software
Ben Markey; David West Brown; Michael Laudenbach; Alan Kohler – Written Communication, 2024
ChatGPT and other LLMs are at the forefront of pedagogical considerations in classrooms across the academy. Many studies have spoken to the technology's capacity to generate one-off texts in a variety of genres. This study complements those by inquiring into its capacity to generate compelling texts at scale. In this study, we quantitatively and…
Descriptors: Content Analysis, Language Usage, Artificial Intelligence, Computer Software
Rishwinder Singh Baidwan; Radhika; Rakesh Kumar – Journal of Educational Technology, 2024
Artificial intelligence technology has become widely used in many industries, including healthcare, agriculture, banking, social security, and home furnishings, due to the rise and development of this discipline. One of the newest areas of technology in the education industry is AI in Education, where extensive research supports instructional…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Models
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
Kamil Çelik; Ahmet Ayaz – Educational Technology Research and Development, 2025
Technological advancements in recent years have accelerated the development of information and communication technologies, introducing numerous innovations. One prominent innovation is the concept of the metaverse, which has gained significant popularity and is increasingly influencing various sectors, including the economy, art, entertainment,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, Computer Science Education
Podworny, Susanne; Biehler, Rolf – Mathematical Thinking and Learning: An International Journal, 2022
Inferential reasoning is an integral part of science and civic society, but research shows that it is a problematic domain for many people. One possibility for a more accessible approach to inferential reasoning is to use randomization tests via computer simulations. A case study was conducted with primary preservice teachers after they had passed…
Descriptors: Statistics Education, Statistical Inference, Simulation, Preservice Teacher Education
Anping Yu; Zheng Xu – International Journal of Information and Communication Technology Education, 2024
Landscape garden design is an important design foundation course for undergraduate students of landscape architecture in China, but the current classroom teaching has the problem of limited spatial dimension of the course. This paper proposes a virtual scene model construction method through the computer software with the creation of the need to…
Descriptors: Computer Simulation, Technology Uses in Education, Architectural Education, Design
F. Lozano-Galant; R. Porras; B. Mobaraki; F. Calderón; J. Gonzalez-Arteaga; J. A. Lozano-Galant – Journal of Civil Engineering Education, 2024
Traditionally, civil engineering infrastructures have been represented through two-dimensional (2D) drawings, which can lead to interpretation errors and jeopardize engineers' understanding of complex projects. However, with the development of building information modeling (BIM) methodology, civil engineering projects can now be virtually modeled…
Descriptors: Civil Engineering, Physical Environment, Simulated Environment, Synthesis
Martha Elena Aguiar Barrera; Humberto Gutierrez Pulido; Veronica Vargas Alejo – Statistics Education Research Journal, 2023
This research presents the results of the implementation of a model-eliciting activity called Brickyards, designed to promote the learning of the binomial distribution. The theoretical framework used was the Models and Modeling Perspective, and the participants were undergraduate students enrolled in a probability and statistics course of the…
Descriptors: Foreign Countries, Undergraduate Students, Civil Engineering, Learning Activities
Md Al Amin; Yang Sok Kim; Mijin Noh – Education and Information Technologies, 2025
The introduction of artificial intelligence technologies like ChatGPT has brought a revolution in various sectors, including higher education. The study aims to examine the drivers that influence ChatGPT adoption among students in higher studies in Bangladesh. This study combined UTAUT model components with constructs such as perceived knowledge…
Descriptors: Trust (Psychology), Artificial Intelligence, Computer Software, Social Influences
Neha Sharma; Bharti Badhani; Bhashyam Vaijayanthi; Priyanka Aggarwal; Anshika Gupta – Journal of Chemical Education, 2023
The introduction of Computational Chemistry via "Molecular Modelling and Drug Design" course at undergraduate level has opened wide possibilities for students to expand their knowledge of quantum chemistry, organic reaction mechanisms, protein-ligand interactions, drug design, and probable "in vivo" behavior of drug candidates.…
Descriptors: Computation, Undergraduate Study, Chemistry, Molecular Structure
Lin, Jing-Wen; Cheng, Tze-Shang; Linn, George – International Journal of Science Education, 2023
The demand for the Dongfeng Highway connecting Dongshi and Fengyuan, Taiwan, originates from a 7.3 ML earthquake disaster affecting residents' medical treatment and material transportation. The Dongfeng Highway route selection was identified as the socioscientific issues (SSI) and the Decision Factors Table and SageModeler (two representational…
Descriptors: Decision Making, Models, Science and Society, Science Instruction
Md Akib Zabed Khan; Agoritsa Polyzou – Journal of Educational Data Mining, 2024
In higher education, academic advising is crucial to students' decision-making. Data-driven models can benefit students in making informed decisions by providing insightful recommendations for completing their degrees. To suggest courses for the upcoming semester, various course recommendation models have been proposed in the literature using…
Descriptors: Academic Advising, Courses, Data Use, Artificial Intelligence