The rapid growth of edge computing, 5G, and IoT technologies has led to a significant increase in distributed data, creating both opportunities and challenges for machine learning. Federated learning has emerged as a promising approach to enable collaborative model training across decentralized devices while not sharing user data. However,…

Pedagogical agents are on-screen characters that help facilitate learning in a virtual or mixed-reality setting. The research on pedagogical agents has shifted focus since their creation, from understanding their underlying principles, identifying their potential roles and usage, and recently finetuning their design for applied practice. This…

In recent years, smart learning environments have become central to modern education and support students and instructors through tools based on prediction and recommendation models. These methods often use learning material metadata, such as the knowledge contained in an exercise which is usually labeled by domain experts and is costly and…

The rapid evolution of Artificial Intelligence (AI) is profoundly shaping our society. Among various AI tools, ChatGPT stands out for its user-friendly nature and wide accessibility to the public. However, despite their countless potential benefits, these tools also face significant challenges, especially in sensitive areas like Education. In this…

Background: AI can positively influence teaching by offering support for classroom management, creating inclusive learning environments, enhancing digital skills, personalizing teaching methods, and strengthening teacher-student relationships. Objectives: This quantitative research study investigates the opportunities, difficulties, and…

This study investigates how teachers understand and position AI tools in middle school writing instruction, drawing on 27 teacher interviews collected during a study called Project Topeka that used an interactive argumentative writing platform with AI-generated scores and feedback. Based on the interviews, we generate an initial theoretical…

Motivation: This research investigates the transformative impact of integrating AI into mathematics education, aiming to enhance students' conceptual understanding and self-efficacy. It addresses the crucial need for innovative teaching methods in response to contemporary challenges in education and aims to fill gaps in understanding the potential…

Artificial intelligence (AI) technologies, particularly chatbots with speech-recognition, are gaining attention as tools for ELT. However, this frontline development in contemporary ELT seems to stand in stark contrast to the multilingual effort, another innovative trend, as chatbots' speech recognition capabilities are primarily attuned to native…

This piece explores technologies for freer communication "with" machines, i.e. bots (chatbots or conversational agents), rather than the concept of speaking "to" machines, such as Intelligent Assistants (IA) like "Alexa." Bots are computer programmes which simulate natural intelligent communication using text or…

Learning a second language is a challenging endeavour which requires various degrees of support. The proliferation of smart technologies includes chatbots and conversational agents which have the potential to 'assist' language learners (Kukulska-Hulme, 2019). However, whilst a growing number of researchers and developers are working on such…

With the rapid development of economy and technology, more and more fields are combined with electronic intelligence and artificial intelligence, and language teaching is no exception. As a research hot issue, computer-assisted language learning (CALL) has attracted more and more people's attention. Based on computer-aided technology, teachers can…

This paper reviews WordUp, a mobile application which fosters English vocabulary learning through exposure to new words in authentic and engaging contexts such as excerpts of movies, songs, and news programme. The samples of use are introduced after the definition of the target words have been provided in both the learners' first language and…

The assessment of writing competency in French as a Foreign Language presents significant challenges due to the multidimensional nature of writing and heterogeneous evaluation practices. This research introduces an innovative framework integrating artificial intelligence and interactive visualization to support the formative assessment of writing…

This paper explores the concept of mutual (reciprocal) learning as an enabler of the emergence of a collective human-machine intelligence across a smart factory. The interlinking of digital profiles of humans and machines permits the identification and measurement of learning outcomes through participating in and performing of (shared) tasks. To…

In this paper we consider prior definitions of the terms "ill-defined domain" and "ill-defined problem". We then present alternate definitions that better support research at the intersection of Artificial Intelligence and Education. In our view both problems and domains are ill-defined when essential concepts, relations, or criteria are un- or…