Background: The digital literacy landscape has undergone significant changes over the last 5 years, from the impact of the COVID-19 pandemic to the emergence of Artificial Intelligence (AI) technologies. The COVID-19 pandemic hastened the necessity for advanced digital skills for remote work and online collaboration, while the current AI era…

Recent advancements in generative artificial intelligence for visualization offer significant opportunities to develop instructional materials. These opportunities can benefit astronomy education, which frequently relies on visual aids like representations. This document analysis study investigates ChatGPT-4o's capabilities for creating and…

The rapid advancement of generative artificial intelligence (GAI) has transformed academic research, especially for graduate students, who are progressively depending on GAI for diverse research activities. However, despite its potential to revolutionize research practices, a critical gap remains in understanding the factors that influence…

What makes students prefer to self-disclosure to AI teaching assistant (AI TA) than human teaching assistants? Understanding this question can help online learning platforms better understand students' needs in the data collection stage to provide more appropriate recommendations and deploy AI and human-AI collaboration more effectively. Based on…

Today, there is no doubt that Artificial Intelligence (AI) presents both opportunities and challenges in higher education. This study examines three key areas: (1) students' use of ChatGPT, (2) their perceptions of its benefits and costs, and (3) the differences in attitudes toward AI integration in higher education between ChatGPT users and…

This study aimed to develop and validate the Metacognitions about Generative AI Use Scale (MGAUS) to assess college students' metacognitive beliefs about generative AI and to explore these metacognitions as predictors of generative AI addiction risk. A total of 1229 college students from China participated in the study, providing data through an…

Background: Perceptual evaluation of speech disorders produces scores that poorly predict the consequences of speech impairment on the communication abilities of patients treated for oral/oropharyngeal cancer. This may be mitigated by automatic speech analysis. Aim: To measure communication and speech impairment using automatic analyses of…

Teacher gesture recognition aims to identify and interpret teacher gestures within academic settings. It has been applied in domains such as teaching performance evaluation, the optimization of online education, and special needs education. However, the background similarity of teacher gestures, the inter-class similarity, and the intra-class…

Feature engineering plays a critical role in the development of machine learning systems for educational contexts, yet its impact on student trust remains understudied. Traditional approaches have focused primarily on optimizing model performance through expert-crafted features, while the emergence of AutoML offers automated alternatives for…

Social interactions among classroom peers, represented as social learning networks (SLNs), play a crucial role in enhancing learning outcomes. While SLN analysis has recently garnered attention, most existing approaches rely on centralized training, where data is aggregated and processed on a local/cloud server with direct access to raw data.…

We propose a novel method for automated short answer grading (ASAG) designed for practical use in real-world settings. The method combines LLM embedding similarity with a nonlinear regression function, enabling accurate prediction from a small number of expert-graded responses. In this use case, a grader manually assesses a few responses, while…

Knowledge Tracing (KT) models predicting student performance in intelligent tutoring systems have been successfully deployed in several educational domains. However, their usage in open-ended programming problems poses multiple challenges due to the complexity of the programming code and a complex interplay between syntax and logic requirements…

In this study, Q methodology was employed to explore instructional designers' perceptions of integrating ChatGPT in their design practices. Compared with traditional survey-based instruments that rely heavily on Likert-scale items, open-ended questions, interviews, or focus groups, Q methodology has the potential to systematically reveal and study…

This study examines the impact of Artificial Intelligence (AI) chatbots on the loss of human connection and emotional support among higher education students. To do so, a quantitative research design is employed. An online survey questionnaire is distributed to a sample of 819 higher education students, assessing concerns about human connection,…

Data from 296 college students were analyzed to examine their use and perceptions of artificial intelligence (AI) tools. A diverse sample across different academic majors reported relatively pervasive use of AI tools. Almost 80% reported using voice assistants such as Alexa, Google, and SIRI. Nearly three-fourths reported using ChatGPT, one of the…