The dramatic increase in science, technology, engineering, and mathematics (STEM) education studies has resulted in more authors promoting the use of Arduino in STEM education. Although there are educational research studies utilizing bibliometric procedures for the exploration of Arduino and STEM separately, there is a further need for research…

The projected number of engineering professionals will increase in the next decade. Implementing instructional technology to support engineering students in creating design solutions to authentic problems may lead to a more significant number of engineering graduates. The problem is knowing the extent to which parametric 3-dimensional…

An application of Bayesian factor analysis for evaluation of scale reliability is discussed, which is developed within the framework of latent variable modeling. The method permits direct point and interval estimation of the reliability coefficient of multiple-component measuring instruments using Bayesian inference. The approach allows also point…

A Bayesian statistics-based approach is discussed that can be used for direct evaluation of the popular Cronbach's coefficient alpha as an internal consistency index for multiple-component measuring instruments, as well as for testing its identity to scale reliability. The method represents an application of confirmatory factor analysis within the…

GSCA Pro is free, user-friendly software for generalized structured component analysis structural equation modeling (GSCA-SEM), which implements three statistical methods for estimating models with factors only, models with components only, and models with both factors and components. This tutorial aims to provide step-by-step illustrations of how…

Using a joystick module, we followed the movement of a chaotic magnetic pendulum. The pendulum bar was attached to a joystick that served as a pivot point and biaxial angular motion sensor. Using an Arduino board, we could follow the position as a function of time along both the "x" and "y"-axis and draw a graph showing the…

This research endeavors to assess the efficacy of Mobile Assisted Language Learning (MALL) in elevating students' English proficiency to the Common European Framework of Reference (CEFR) B1 level. The study involves identifying the most suitable mobile application for formative assessment, implementing it to enhance students' English competency,…

A chatbot is artificial intelligence software that converses with a user in natural language. It can be instrumental in mitigating teaching workloads by coaching or answering student inquiries. To understand student-chatbot interactions, this study is engineered to optimize student learning experience and instructional design. In this study, we…

Despite increasing calls for integrating generative AI (GAI) into education, individual teachers still show disparate attitudes and actions. It is thereby pivotal to understand the reasons behind such divergent responses. However, factors affecting teachers' uptake of GAI in their instruction, particularly their endorsement of students' engagement…

Recent advancements in geospatial technologies enable geography students to explore outdoor phenomena independently, without teacher guidance. Several authors argue that smartphone apps can effectively replace the teacher in excursions, addressing challenges such as teachers' limited availability. However, empirical research comparing the actual…

Traditional education often relies on passive learning approaches, whereas modern medical students increasingly seek interactive, technology-enhanced experiences. Despite the growing use of digital tools in anatomy education, there remains a lack of structured, student-centered 3D modeling courses embedded within the undergraduate medical…

With the increasing use of mobile phones among young people, there is growing public concern about possible detrimental effects of digital writing on learners' literacy and language skills. We ask whether and to what extent nonstandard forms typical of spoken Hebrew and of digital communication are also found in the formal writing of high-school…

Physical programming (PP) is defined as the design of interactive physical systems between the real and virtual worlds using a combination of software and hardware. A physical programming platform (PPP) defines a structure that includes hardware and software where such applications can be made. The aim of this study is to introduce the MIDEP…

Generative AI systems, such as ChatGPT and Bard, can significantly enhance education by providing personalized learning experiences. They can tailor content, quizzes, and explanations to individual students; act as virtual tutors, and offer instant feedback. However, privacy concerns have arisen because of the need for personal data. Ensuring…

This study investigates iMessage Tapbacks (e.g., [heart], [thumb up], !!) as "sequence-closing seconds," or minimal responses that fulfill conversational obligations in text-based group chats. Through conversation analysis of three group conversations, the analysis demonstrates how Tapbacks operate as efficient second pair-parts (2pps)…