Research into using AI for editing doctoral dissertation work in music education and a subsequent review of literature prompted this collaborative investigation. Specifically, this paper examines ChatGPT-Human collaboration in doctoral dissertation writing and editing through the lens of Martin Buber's (1958) "I-Thou" relation.…

Large Language Models (LLMs), such as ChatGPT, have become widely popular for various software engineering tasks, including programming, testing, code review, and program comprehension. However, their impact on improving software quality in educational settings remains uncertain. This article explores our experience teaching the use of Programming…

AI advancements in higher education have reshaped marketing education, posing challenges for educators in integrating AI into curricula. This integration is essential for aligning with industry advancements and fostering responsible AI utilization among students. The purpose of this study is to provide insights into how marketing educators can…

Reading motivation is critical in learning English as a foreign language (EFL). Therefore, insufficient reading motivation leads to several problems concerning the learners' reading development. One of the strategies to maintain and boost learners' motivation is integrating artificial intelligence (AI) tools into language teaching practices. One…

As generative AI tools like ChatGPT become increasingly integrated into academic settings, understanding students' perspectives is critical--particularly in underrepresented regions such as Lebanon and Palestine. A mixed-methods approach using survey data and thematic analysis of in-depth interviews was employed to analyze students' perceived…

We present a case study of co-creating a policy for the use of generative artificial intelligence (AI) in a writing course at Georgetown University in Washington, DC. Students and faculty in two sections of a required 1st-year writing course worked to draft and respond to a policy about AI and then reflected on the experience. Student reflections…

The aim of this study is to examine the intercultural sensitivity levels of teacher candidates using CART analysis and to develop a predictive model using machine learning algorithms. Additionally, this study provides a framework for understanding the relationship between internet usage and intercultural sensitivity. The participants comprised 416…

Mobile apps are becoming part and parcel of our daily lives. Hence, this study examined the differential effects of app modes on listening comprehension and recognition. From a pool of Egyptian EFL sophomores, 107 students were randomly assigned into 3 groups practicing mobile-assisted listening in 3 modalities: Unimodal (n = 35), Bimodal (n =…

Artificial intelligence tools such as ChatGPT have emerged as a disruptive force in higher education. Stakeholders are debating the integration and relevance of AI in education to improve student learning outcomes. Further investigation is needed to determine not only the pedagogical impact but also address issues such as ethics, bias, and…

Background and Context: Hispanic-serving community colleges represent promising sites for broadening participation and enhancing computing interests around AI. Objectives: This study investigated how students enrolled in an introductory AI computing course at an HSCC made meaning of their course experiences and how they described their interest in…

The active processing theory of self-questioning instruction suggests that comprehension occurs when students generate questions during reading because it allows students to engage in deeper processing of the text as their attention is drawn to the content. Four secondary students with reading fluency and comprehension deficit were taught to…

Learning science is a social enterprise that involves students communicating ideas, observations, and findings. Navigating talk between students about scientific concepts and practices is a complex task for teachers. Traditionally, science educators have used a method called microteaching (teaching to peers) as a context for practicing teaching.…

Educational process mining aims (EPM) to help teachers understand the overall learning process of their students. Although deep learning models have shown promising results in many domains, the event log dataset in many online courses may not be large enough for deep learning models to approximate the probability distribution of students' learning…

Machine translation (MT) is the automated process of translating text between different languages, encompassing a wide range of language pairs. This study focuses on non-professional bilingual speakers of Turkish and English, aiming to assess their ability to discern accuracy in machine translations and their preferences regarding MT. A particular…

This study investigated the effect of using Stoodle software program on Iranian EFL teachers' autonomy, creativity, and work engagement in the light of teaching experience and gender. The participants comprised 60 EFL teachers including 30 male (15 novice and 15 experienced) and 30 female (15 novice and 15 experienced) teachers teaching at five…