This systematic review explores the transformative role of Artificial Intelligence (AI) and Information and Communication Technologies (ICT) in enhancing intercultural communication competence (ICC) at the university level. As AI increasingly integrates into educational settings, its potential to revolutionize student learning and cultural…

This paper explores the integration of Generative Artificial Intelligence (GenAI) feedback into higher education. Specifically, it examines the views of 11 experienced instructors on fine-tuned GenAI formative feedback of student works in an online graduate program in the United States. The participants assessed sample GenAI reviews, and their…

Background: Academic dishonesty (AD) and trustworthy assessment (TA) are fundamental issues in the context of an online assessment. However, little systematic work currently exists on how researchers have explored AD and TA issues in online assessment practice. Objectives: Hence, this research aimed at investigating the latest findings regarding…

Aim/Purpose: This paper proposes a new approach to developing a deep learning-based prototyping wearable model which can assist blind and visually disabled people to recognize their environments and navigate through them. As a result, visually impaired people will be able to manage day-to-day activities and navigate through the world around them…

Digital Study Assistants (DSA) are an emerging type of software that combines web-based software architectures, various data sources, and algorithms from artificial intelligence (AI) to assist learners in improving their learning-related behaviors. In this paper, we summarize the implementation and results of a field study with a DSA for…

Nowadays, few professionals understand the techniques and testing criteria to systematize the software testing activity in the software industry. Towards shedding some light on such problems and promoting software testing, professors in the area have established Massive Open Online Courses as educational initiatives. However, the main limitation…

The authors describe the potential of artificial intelligence (AI) applications like ChatGPT to address the challenges faced in social studies education and develop strategies for its effective integration into the classroom. This includes identifying the ethical implications of AI, its impact on assessment methods, and opportunities for…

The meaning of most words in language depends on their context. Understanding how the human brain extracts contextualized meaning, and identifying where in the brain this takes place, remain important scientific challenges. But technological and computational advances in neuroscience and artificial intelligence now provide unprecedented…

Integration of Artificial Intelligence (AI) in the design process is a growing area of research interest. Three years after its public launch in 2022, AI has already established itself as the most disruptive tool revolutionizing how designers conceptualize, iterate and innovate. As AI technologies continue to evolve, it is pertinent that design…

Led by artificial intelligence (AI), digital technologies are acting as a lever for significant change in higher education. Innovative formats such as macrolearning, the concatenation of a significant number of microlearning units, are consequently emerging. The purpose of this paper is to explore students' preferences for macrolearning programmes…

Whether skeptical or enthusiastic about AI, every social studies educator will find something useful for their practice in this book. The introduction of widely available generative AI tools has caused a frenzy of both positive and negative reactions. Between utopian visions and apocalyptic predictions of AI's impact on education, there is a need…

This study aimed to develop a valid and reliable scale to measure individuals' and organizations' attitudes toward the use of ChatGPT, emphasizing the necessity for organizations to adapt to rapidly evolving information and technology environments. The methodology consisted of three stages. In the first stage, a 13-item draft scale was…

Artificial intelligence (AI) competence in education is a set of skills that enable teachers to ethically and responsibly develop, apply, and evaluate AI for learning and teaching processes. While AI competence becomes a key competence for teachers, current research on the acceptance and use of AI in classroom practice with a specific focus on the…

High-quality science assessments are multi-dimensional. They promote disciplinary practices, core ideas, cross-cutting concepts, and science sense-making. In this paper, we investigate the feasibility of using generative artificial intelligence (GenAI), specifically multimodal large language models (MLLMs), to annotate and provide improvement…

This paper explores the integration of AI, specifically ChatGPT, into multicultural education, utilizing John Dewey's experiential learning philosophy to foster reflective thinking and democratic citizenship. We propose a three-pathway framework -- Transmissional, Transactional, and Transformative (TTT) -- grounded in Dewey's principles of…