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Yifeng Hu – Communication Teacher, 2025
This assignment is integrated into the generative AI unit of the Emerging Communication Technologies course. It includes step-by-step designs and reflective examples from students, highlighting the evolution of their perceptions of generative AI. The assignment uniquely focuses on understanding and raising awareness of stereotypes present in…
Descriptors: Artificial Intelligence, Stereotypes, Communications, Student Attitudes
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Joseph Lobo; Genesis Dimalanta; Conrad Buerkley; Susan Manuel; Amiel Alfonso; Celter Cris Torres; Gerald Suba – Journal of Educators Online, 2025
This study adapted Davis' (1989) Technology Acceptance Model (TAM) to investigate what influences students' attitudes on using Microsoft Teams (MS Teams) as a learning tool for Physical Education (PE). Partial Least Square-Structural Equation Modeling (PLS-SEM) analysis of survey responses from 1,916 Mabalacat City College students enrolled in an…
Descriptors: Physical Education, Computer Software, Instructional Effectiveness, Computer Uses in Education
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Khulekani Yakobi; Siphokazi Yakobi; Godwin Kaisara; Sulaiman Olusegun Atiku – International Journal of Education and Development using Information and Communication Technology, 2025
The purpose of this article was to explore the challenges and opportunities for using e-learning in a South African emerging university, especially during and after the COVID-19 pandemic. The article adopts an explanatory case study design to answer the research question. A quantitative research method was adopted using the convenience sampling…
Descriptors: Universities, Electronic Learning, COVID-19, Pandemics
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Aldo Gordillo; Daniel Lopez-Fernandez – IEEE Transactions on Education, 2024
Contribution: This article analyzes the learning effectiveness of a virtual educational escape room for teaching software engineering and compares this activity with traditional teaching through a randomized controlled trial. Background: Educational escape rooms have been used across a wide variety of disciplines at all levels of education and…
Descriptors: Game Based Learning, Computer Software, Conventional Instruction, Instructional Effectiveness
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Bolloju, Narasimha – ACM Transactions on Computing Education, 2022
Domain models in software engineering--often represented as class diagrams--depict relevant classes in a given problem domain along with necessary relationships among those classes. These models are important because they establish links between the requirements of a given system under development and the subsequent phases of the systems…
Descriptors: Models, Computer Software, Student Attitudes, Cooperation
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Eliza Rossiter; T. J. Thomson; Rachel Fitzgerald – Interactive Technology and Smart Education, 2024
Purpose: The purpose of this study is to evaluate the use and effectiveness of a bespoke mobile learning resource, Pocket Tutor. This resource responds to a number of teaching and learning challenges within the tertiary education context. These include those related to the number and type of learning activities that can be offered, class pacing,…
Descriptors: College Students, Electronic Learning, Handheld Devices, Technology Uses in Education
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Madhav Sharma; Roger McHaney – Decision Sciences Journal of Innovative Education, 2025
Many management information systems (MIS) faculty have adopted a project-oriented approach in their systems analysis and design courses. In these courses, students use a software development methodology to create a web or mobile application project, which can be based on a predefined case or developed for an external stakeholder. Because most…
Descriptors: Computer Software, Artificial Intelligence, Instructional Design, Computer Science Education
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Mark Frydenberg; Anqi Xu; Jennifer Xu – Information Systems Education Journal, 2025
This study explores student perceptions of learning to code by evaluating AI-generated Python code. In an experimental exercise given to students in an introductory Python course at a business university, students wrote their own solutions to a Python program and then compared their solutions with AI-generated code. They evaluated both solutions…
Descriptors: Student Attitudes, Programming, Computer Software, Quality Assurance
Andrea E. Green – ProQuest LLC, 2024
No solution can ultimately eliminate cheating in online courses. However, universities reserve funding for authentication systems to minimize the threat of cheating in online courses. Most higher education institutions use a combination of authentication methods to secure systems against impersonation attacks during online examinations.…
Descriptors: College Students, Cheating, Online Courses, Intervention
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Keith Francis Ratumbuisang; Uun Hariyanti; Godham Eko Saputro; Yan Amal Abdilah – Education and Information Technologies, 2024
As technology advances, virtual museums have gained popularity as a new form of learning resources. However, persuading audiences to absorb and comprehend a tremendous volume of information in an unregulated online environment is the challenge. Considering the use of an online application in educational practice, collaborative teamwork can be…
Descriptors: Story Telling, College Students, Student Attitudes, Computer Simulation
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Udit Chawla; Rajesh Mohnot; Harsh Vikram Singh – Education and Information Technologies, 2024
This study aims to understand students' adoption of ChatGPT in educational settings. Students' perceptions of ChatGPT influence their intentions to adopt it. The factors that influence their adoption include "Perceived Pedagogy", "Perceived Amplification ", Perceived Ingenuity" and "Perceived Ethics " and these…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Technology Uses in Education
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Sheri Grotrian; Lisa Parriott; Brad Griffin; Brady Woerth; Wyatt Rowell – Educational Research: Theory and Practice, 2024
This paper is a review of student perceptions and usage of ChatGPT and other Artificial Intelligence (AI) tools. Technology has made significant changes in education, and in the last 30 years, none may be as impactful as what we refer to as ChatGPT as this was the first tool to make inroads into a chat-based artificial intelligence available to…
Descriptors: Artificial Intelligence, Computer Software, Student Attitudes, Teaching Methods
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Laurie O. Campbell; Thomas D. Cox – Journal of the Scholarship of Teaching and Learning, 2024
With the rapid societal emergence of generative artificial intelligence chatbots, calls for responsible use of generative AI permeate public voices among faculty, administration, and Centers for Teaching and Learning. The Diffusion of Innovation Theory seeks to explain how technologies like generative AI large language models are being adopted.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Synchronous Communication
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du Preez, Hanneke; Hill, Tanya; Coetzee, Liza; Motsamai, Lungelo; Stark, Karen – Journal of Research in Innovative Teaching & Learning, 2023
Purpose: Students completing their tertiary education at a university may be equipped with theoretical knowledge with little to no practical experience. In order to bridge this gap in practical skills, a computer simulation was developed based on the e-filing platform of the South African Revenue Services (SARS). Students were exposed to this…
Descriptors: Computer Simulation, Computer Software, Foreign Countries, Taxes
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Reed, Janet; Alterio, Brittany; Coblenz, Hannah; O'Lear, Taylor; Metz, Tomek – Journal of Interactive Learning Research, 2023
Generative artificial intelligence (AI) allows for the transformation of written text into artistic images of varying styles. Scholars and researchers are beginning to explore the benefits of this technology to improve reflective practices and critical analyses in education. The extent to which AI-generated images can be used in nursing education…
Descriptors: Nursing Education, Artificial Intelligence, Undergraduate Students, Teaching Methods
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