Background: Learning analytics dashboards (LAD) have been developed as feedback tools to help students self-regulate their learning (SRL) by using the large amounts of data generated by online learning platforms. Despite extensive research on LAD design, there remains a gap in understanding how learners make sense of information visualised on LADs…

Digitalization of university education in countries of Central Asia influences the satisfaction of the region's citizens' needs for knowledge and skills that are required in the quickly globalizing world. A high level of knowledge and practical skills, their accessibility, the openness of digital universities and teachers, flexibility of the…

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…

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 aims to identify the challenges faced by primary school teachers when implementing blended learning and to suggest the most important ways to overcome them. It also explores the impact of variables such as gender, academic qualification, and years of experience, on these challenges. A descriptive approach was adopted, and a…

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.…

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…

Despite the spread of artificial intelligence (AI) tools and applications, the Apple Vision Pro (AVP) stands out for its innovative features compared to other types of wearable technology. Moreover, traditional glasses have been deficient in incorporating many AI innovations that could enhance user experiences and pose new challenges. In response…

This study explores the perspectives of professionals working with children on the impact of digital device use in schools on health and learning. A survey was conducted among 62 experts, including doctors, psychologists, and opticians, to determine safe daily limits for time spent on digital devices for different age groups. The results suggest…

This research explores the impact of generative artificial intelligence (GenAI) on ideation and concept design of social robots capable of undertaking sustained long-duration human-robot interaction. The work reported here was developed between 2021 and 2024 through classroom teaching executed in four editions of 3-day project workshops involving…

This study aimed to develop and evaluate the effectiveness of the LADEC model in promoting future skills among undergraduate learners. The research objectives included: (1) analyzing the components of the LADEC model; (2) designing and implementing the model; (3) comparing the effectiveness of the LADEC model with the DTP model; and (4) assessing…