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Chi Hong Leung; Winslet Ting Yan Chan – Asian Journal of Contemporary Education, 2025
This paper explores the efficacy of ChatGPT, a generative artificial intelligence in educational contexts, particularly concerning its potential to assist students in overcoming academic challenges while highlighting its limitations. ChatGPT is suitable for solving general problems. When a student comes across academic challenges, ChatGPT may…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Error Patterns
Kimberlee K. C. Everson – Myers Education Press, 2025
In the changing realm of academic research, Generative Artificial Intelligence (AI) is a significant force, altering the way knowledge is pursued and understood. "Enhancing Doctoral Dissertations Ethically with AI: A Comprehensive Guide" serves as an indispensable guide for doctoral students and educators on the frontline of this shift,…
Descriptors: Doctoral Dissertations, Ethics, Artificial Intelligence, Computer Software
David R. Firth; Adam Gonzales; Michelle Louch; Bryan Hammer – Information Systems Education Journal, 2025
ChatGPT is having an impact on students, and information systems (IS) and computing academic professionals alike. Our goal for this paper is to help faculty and students know the conditions in which generative AI such as ChatGPT should or should not be used. To that end, we describe the development of a 2x2 matrix. On the horizontal axis we have…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Information Systems
Liuying Gong; Jingyuan Chen; Fei Wu – IEEE Transactions on Learning Technologies, 2025
The capabilities of large language models (LLMs) in language comprehension, conversational interaction, and content generation have led to their widespread adoption across various educational stages and contexts. Given the fundamental role of education, concerns are rising about whether LLMs can serve as competent teachers. To address the…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Comparative Analysis
Nason, Erica E.; Wang, Kaipeng; Ausbrooks, Angela R. – Journal of Social Work Education, 2023
This article introduces an open-source software package--R for Qualitative Data Analysis (RQDA). RQDA is an R package for analysis of text-formatted data, which is compatible across operating platforms. It is user-friendly and seamlessly integrates with R, which makes it possible to conduct statistical analyses on qualitative coding. Alternative…
Descriptors: Statistical Analysis, Computer Software, Open Source Technology, Usability
Casas-Rosal, José Carlos; Caridad y Ocerín, José María; Núñez-Tabales, Julia M.; León-Mantero, Carmen – Teaching Statistics: An International Journal for Teachers, 2019
This paper presents the operation of the educational software, Real Estate Data Analyzer, to teachers and future teachers. It is a specific software that allows students carry out complete statistical analysis projects on the characteristics of the buildings that surround them.
Descriptors: Statistical Analysis, Computer Software, Teaching Methods, Real Estate
Atkin, Keith – Physics Education, 2019
This paper shows how a freely downloadable and powerful software package, "SMath Studio," can be used to model physical systems in physics teaching. The software can form the basis of lecture demonstrations by teachers or can be used individually by students working in an educational environment or on their own home computers.
Descriptors: Physics, Science Instruction, Problem Solving, Scientific Concepts
Johnson, Marina E.; Misra, Ram; Berenson, Mark – Decision Sciences Journal of Innovative Education, 2022
In the era of artificial intelligence (AI), big data (BD), and digital transformation (DT), analytics students should gain the ability to solve business problems by integrating various methods. This teaching brief illustrates how two such methods--Bayesian analysis and Markov chains--can be combined to enhance student learning using the Analytics…
Descriptors: Bayesian Statistics, Programming Languages, Artificial Intelligence, Data Analysis
Dressman, Mark; Lee, Ju Seong; Perrot, Laurent – John Wiley & Sons, Inc, 2023
"English Language Learning in the Digital Age" is a comprehensive introduction to the theoretical background and real-world application of IDLE (Informal Digital Learning of English). Designed for teachers and future teachers preparing to teach English as a second or other language, this highly practical guide focuses on incorporating…
Descriptors: English Language Learners, English (Second Language), Language Teachers, Student Centered Learning
Paek, Insu; Cui, Mengyao; Öztürk Gübes, Nese; Yang, Yanyun – Educational and Psychological Measurement, 2018
The purpose of this article is twofold. The first is to provide evaluative information on the recovery of model parameters and their standard errors for the two-parameter item response theory (IRT) model using different estimation methods by Mplus. The second is to provide easily accessible information for practitioners, instructors, and students…
Descriptors: Item Response Theory, Computation, Factor Analysis, Statistical Analysis
Muhammad Mooneeb Ali, Editor; Muhammad Nadeem Anwar, Editor; Shawana Fazal, Editor; Shazia Ayyaz, Editor – IGI Global, 2025
The integration of artificial intelligence in language learning is transforming education by making language acquisition more personalized, efficient, and accessible. AI-powered tools, such as intelligent tutoring systems and adaptive learning platforms, enable learners to receive real-time feedback, customized lessons, and immersive experiences…
Descriptors: Artificial Intelligence, Computer Software, Second Language Learning, Second Language Instruction
Rosen, Rachel; Dalporto, Hannah – MDRC, 2020
Modern high school career and technical education (CTE) programs are often referred to as "high-quality CTE," and they are designed to help students build career skills and earn credentials through sequenced coursework, postsecondary credit acquisition, and exposure to relevant work-based learning experiences. These kinds of programs,…
Descriptors: Career Education, Technical Education, High School Students, Workplace Learning
Phillips, Amber; Rodenbeck, Myshel; Clegg, Bethany – Strategies: A Journal for Physical and Sport Educators, 2014
Physical education teachers have been encouraged to use technology in their classes to enhance student motivation and learning. The purpose of this article is to share iOS applications (apps) that K-12 physical education teachers and students have found useful.
Descriptors: Physical Education Teachers, Physical Education, Educational Technology, Technology Uses in Education
Eaton, Sarah Elaine; Crossman, Katherine; Edino, Rachael – Online Submission, 2019
Purpose: This report documents research and related materials related to academic integrity in Canada to inform and guide future work in the field. It provides an overview of the literature up to and including 2017 relating to academic integrity in Canada. Methods: Two research questions guided this literature review: 1. What scholarly, research,…
Descriptors: Integrity, Databases, Teaching Methods, Professional Education
Azevedo, Ana, Ed.; Azevedo, José, Ed. – IGI Global, 2019
E-assessments of students profoundly influence their motivation and play a key role in the educational process. Adapting assessment techniques to current technological advancements allows for effective pedagogical practices, learning processes, and student engagement. The "Handbook of Research on E-Assessment in Higher Education"…
Descriptors: Higher Education, Computer Assisted Testing, Multiple Choice Tests, Guides