We present a theoretical study that allows us to attempt framing in an embodied perspective the effectiveness of the drawing robot GGBot in the learning of geometry. The aim of the article is to set the intertwining of activity, semiotics, perception, and knowledge at the crossover of Radford's theory of objectification (TO) and Borba and…

This study aims to develop an AI education policy for higher education by examining the perceptions and implications of text generative AI technologies. Data was collected from 457 students and 180 teachers and staff across various disciplines in Hong Kong universities, using both quantitative and qualitative research methods. Based on the…

This paper explores a possible future of postdigital education in 2050 using the means of social science fiction. The first part of the paper introduces the shift from 20th century primacy of physics to 21st century primacy of biology with an accent to new postdigital--biodigital reconfigurations and challenges in and after the COVID-19 pandemic.…

The article re-imagines the current developments of Swedish education into a possible future. Historically, education was organized and funded by the state; however, reforms towards privatization in the 1990s implemented school choice, private schools and a tax-financed voucher system with the option of turning profits on education. A new judicial…

The global higher education sector has been significantly disrupted by the proliferation of generative artificial intelligence tools such as ChatGPT, especially in relation to its implications for assessment. However, few studies to date have explored student perspectives on these tools. This article reports on one of the first large-scale…

Artificial Intelligence (AI) is a data-driven mathematical process that incorporates machine-based logic, usually in the form of algorithms. The algorithm is the building block of AI (Robert, 2019). Education, training, and competencies are now conducted through virtual reality, robotics, simulation, and technology learning-based platforms by…

With the development of technology allowing for a rapid expansion of data science and machine learning in our everyday lives, a significant gap is forming in the global job market where the demand for qualified workers in these fields cannot be properly satisfied. This worrying trend calls for an immediate action in education, where these skills…

This paper explores the implications of ChatGPT for language teaching through the lens of Paulo Freire's critical pedagogy. A review of recent research on ChatGPT reveals promising opportunities for personalised and interactive learning, but also risks of propagating cultural bias, plagiarism and passive learning. Freire's concepts of 'banking'…

Educational Data Mining (EDM) is an emerging field that aims to better understand students' behavior patterns and learning environments by employing statistical and machine learning methods to analyze large repositories of educational data. Analysis of variable data in the early stages of a course might be used to develop a comprehensive…

The quality of teachers is crucial for students' learning and human development, particularly in modern multicultural classrooms and rapidly evolving environments. A key focus of teacher preparation is to transform classroom discourse and promote problem-solving skills and critical thinking. In order to foster critical thinking and facilitate…

The paper proposes EXPLODE, a new model of exploratory learning environment for teaching and learning neural networks. The EXPLODE model is about pedagogically instrumenting a software development environment to transform it into an exploratory learning environment for neural networks. Such an environment is particularly aimed for students who are…

Acid-base chemistry, and in particular the Lewis acid-base model, is foundational to understanding mechanistic ideas. This is due to the similarity in language chemists use to describe Lewis acid-base reactions and nucleophile-electrophile interactions. The development of artificial intelligence and machine learning technologies has led to the…

As artificial intelligence (AI) expands its scope of applications across society, understanding its impact becomes increasingly critical. The OECD's AI and the Future of Skills (AIFS) project is developing a comprehensive framework for regularly measuring AI capabilities and comparing them to human skills. The resulting AI indicators should help…

18 students engaged in learning about artificial intelligence, specifically ChatGPT 3 (CHAT), to respond to the question of whether it is ethical or practical for students to use CHAT in college-level classrooms to complete assignments. A thematic unit was created and taught in 2 face-to-face English 101 classes to explore the topic of CHAT. The…

In this paper we present an approach to employing pervasive technologies, such as IoT and mobile technologies, in secondary education. The goal is to develop a comprehensive methodology, IoT infrastructure and a mobile application that would enable secondary students to test their knowledge in interaction with a smart environment. We have…