The aim of the present work is to demonstrate the expediency of using information technologies on the study of Brownian motion. The importance of using such software as VirtualDub, Tracker and Google Sheets for the study of Brownian motion has been substantiated. This made it possible to determine the values that cannot be measured directly (the…

We present a case study to teach data visualization with Tableau in an introductory business analytics course. The case uses publicly available data sets from touringplans.com that record wait times for various attractions at Disney World in Orlando, Florida. In the case study, students use Tableau to clean, organize, and analyze wait time data,…

An ERP (enterprise resource planning) is an information system that makes it possible to manage and monitor on a daily basis all the information and operational services of a company. It is able to effectively reduce the cost of products, improve customer service experience, and increase business competitiveness. However, the implementation rate…

Cloud computing, internet of things (IoT), artificial intelligence, and big data are four very different technologies that are already discussed separately. The use of the four technologies is required to be more and more necessary in the present day in order to make them important components in today's world technology. In this paper, the authors…

This study examined the use of sentence-level support software as a tool to encourage students' belief in their ability to write. The research originates from prior research in the field of educational psychology that suggest beliefs in one's abilities are often formulated by successful experiences and that learning is developed through conscious…

This article describes the educational, operational, and practical implementation of an upper-division undergraduate studio-style course centered on the subject of game production. Specifically, the article addresses the course organization and processes, the institutional context for the course (i.e., its situated role in the larger curriculum),…

Background: Rigorous meta-analysis holds promise to answer the ultimate important question in education: which interventions work and for whom? Evidence-based reform in education has contributed to a proliferation of well-designed experiments in recent years, which calls for updated systematic reviews. However, this proliferation is a double-edged…

Background: Counts are familiar outcomes in education research settings, including those involving tests of interventions. Clustered data commonly occur in education research studies, given that data are often collected from students within classrooms or schools. There is a wide array of distributions and models that can be used for clustered…

A procedure that can be used to evaluate the variance inflation factors and tolerance indices in linear regression models is discussed. The method permits both point and interval estimation of these factors and indices associated with explanatory variables considered for inclusion in a regression model. The approach makes use of popular latent…

Having a deeper understanding of molecules in their structural forms allows students to grasp biochemical and general chemical concepts in a more profound manner. Through the use of visualization software, we have shown that students gain confidence and insight into the chemical workings of molecular structure and can then utilize this knowledge…

Recent research in science education has largely focused on using ChatGPT to solve problems and evaluating its accuracy and problem-solving features. However, as artificial intelligence (AI) is becoming an important tool for human development, effective strategies for learning and education using human-AI collaboration (HAI) learning remain…

Background: Multiple-choice item (MCI) assessments are burdensome for instructors to develop. Artificial intelligence (AI, e.g., ChatGPT) can streamline the process without sacrificing quality. The quality of AI-generated MCIs and human experts is comparable. However, whether the quality of AI-generated MCIs is equally good across various domain-…

This study investigates the validity and reliability of generative large language models (LLMs), specifically ChatGPT and Google's Bard, in grading student essays in higher education based on an analytical grading rubric. A total of 15 experienced English as a foreign language (EFL) instructors and two LLMs were asked to evaluate three student…

Broadly defined, academic language (AL) is a set of lexical-grammatical norms and registers commonly used in educational and academic discourse. Mastery of academic language in writing is an important aspect of writing instruction and assessment. The purpose of this study was to use Natural Language Processing (NLP) tools to examine the extent to…

Learners' achievements, motivation, and emotional states are closely linked to the roles and effectiveness of their teachers, while several challenges in foreign language classrooms hinder teacher efficacy. Artificial intelligence (AI) has the potential to offer substantial solutions by addressing individual student needs, expectations, and…