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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
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
Frydenberg, Mark – Information Systems Education Journal, 2023
The Internet of Things (IoT) is a network of objects that can exchange data with other devices also connected to the Internet. One of the most common consumer examples of IoT is home automation, as a variety of smart devices, including doorbells, lightbulbs, thermostats, and refrigerators are now available which users can control remotely using…
Descriptors: Internet, Computer Software, Automation, Information Technology
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
Levy, Roy – Educational Measurement: Issues and Practice, 2020
In this digital ITEMS module, Dr. Roy Levy describes Bayesian approaches to psychometric modeling. He discusses how Bayesian inference is a mechanism for reasoning in a probability-modeling framework and is well-suited to core problems in educational measurement: reasoning from student performances on an assessment to make inferences about their…
Descriptors: Bayesian Statistics, Psychometrics, Item Response Theory, Statistical Inference
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
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
Ozgur, Ceyhun; Kleckner, Michelle; Li, Yang – SAGE Open, 2015
The need for analysts with expertise in big data software is becoming more apparent in today's society. Unfortunately, the demand for these analysts far exceeds the number available. A potential way to combat this shortage is to identify the software taught in colleges or universities. This article will examine four data analysis software--Excel…
Descriptors: Computer Software Selection, Computer Software Evaluation, Statistics, Spreadsheets
Mak, Carry; Hong, Jacky – Learning Organization, 2020
Purpose: This paper aims to offer a contextualized and multi-stakeholder perspective for creating a learning organization (LO) 2.0. Design/methodology/approach: Based on a systematic review of the critiques of LO in the past three decades, this paper suggests some possible directions for the development of next-generation of LO (e.g. LO 2.0).…
Descriptors: Criticism, Models, Stakeholders, Design
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
Murray, Orrin T.; Olcese, Nicole R. – TechTrends: Linking Research and Practice to Improve Learning, 2011
Within weeks of becoming available, the iPad reportedly sold over 3 million units, a brisker pace than other tablets in the personal computer realm. Much of the early success might be attributed to the almost 250,000 applications that could run on the device and a similar interface to the popular iPod Touch and iPhone. This article considers…
Descriptors: Elementary Secondary Education, Handheld Devices, Computer Software, Computer Uses in Education
Hu, J.; Haffner, M.; Yoder, S.; Scott, M.; Reehal, G.; Ismail, M. – IEEE Transactions on Education, 2010
The semiconductor industry is lacking qualified integrated circuit (IC) test engineers to serve in the field of mixed-signal electronics. The absence of mixed-signal IC test education at the collegiate level is cited as one of the main sources for this problem. In response to this situation, the Department of Electrical and Computer Engineering at…
Descriptors: Feedback (Response), Course Objectives, Academic Achievement, Laboratories