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…

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,…

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…

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…

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.

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…

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.

A comprehensive, accessible introduction to educational research "Educational Research: Competencies for Analysis and Applications" uses engaging, straightforward language to introduce students to the information and skills required to successfully conduct research and to competently evaluate research. Long known for their clear and at…

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…

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…

This award-winning text translates the theoretical foundations of solution-focused counseling into a brief, culturally responsive approach for school counselors, psychologists, social workers, and graduate students. As an experienced practitioner and international presenter on this topic, Dr. Murphy has organized the fourth edition to reflect…

"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…

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…

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).…

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…