Novice programmers often struggle through programming problem solving due to a lack of metacognitive awareness and strategies. Previous research has shown that novices can encounter multiple metacognitive difficulties while programming, such as forming ...

Programming skills are typically developed through completing various hands-on exercises. Such programming problems can be contextualized to students’ interests and cultural backgrounds. Prior research in educational psychology has demonstrated that ...

Storytelling is an integral part of human culture and significantly impacts cognitive and socio-emotional development and connection. Despite the importance of interactive visual storytelling, the process of creating such content requires specialized ...

ChatGPT burst into people's lives at the end of 2022, heralding the arrival of large language models in particular, and generative AI in general. How best to see this moment in the development of AI. What is generative AI actually good for? And what are ...

With software development increasingly reliant on innovative technologies, there is a growing interest in exploring the potential of generative AI tools to streamline processes and enhance productivity. In this scenario, this paper investigates the ...

Music is a powerful medium for altering the emotional state of the listener. In recent years, with significant advancements in computing capabilities, artificial intelligence-based (AI-based) approaches have become popular for creating affective music ...

Cipherbot, an educational chatbot using large language models to answer student questions concerning learning materials uploaded by the educator, was pilot tested in a classroom setting. Forty-four students used Cipherbot for seven weeks, sending 8077 ...

When using simulations to design and implement novice teacher practice, a teacher educator may be concerned about if what is technically possible in terms of generating feedback to novice teachers' responses is educationally purposeful to support their ...

Students bring a multitude of ideas and experiences to the classroom while they are reasoning about scientific phenomena. They often need timely guidance to refine build upon their initial ideas. In this study we explore the development of guidance ...

The integration of Artificial Intelligence (AI) into the field of education is an unprecedented trend with the potential to revolutionize teaching approaches and significantly improve the overall learning experience. This workshop offers an opportunity ...

In large-scale programming courses, providing learners with immediate and effective feedback is a significant challenge. This study explores the potential of Large Language Models (LLMs) to generate feedback on code assignments and to address the gaps in ...

Evaluating the quality of automatically generated question items has been a long standing challenge. In this paper, we leverage LLMs to simulate student profiles and generate responses to multiple-choice questions (MCQs). The generative students' ...

Generative AI (GenAI) has seen great advancements in the past two years and the conversation around adoption is increasing. Widely available GenAI tools are disrupting classroom practices as they can write and explain code with minimal student prompting. ...

The aim of this work is to describe a simple and cost effective way to integrate generative AI into GitHub to support course specific scenarios. We are motivated by helping teachers realise their creative AI use cases in spite of technical barriers and ...

Advances in artificial intelligence and human-computer interaction will likely lead to extended reality (XR) becoming pervasive. While XR can provide users with interactive, engaging, and immersive experiences, non-player characters are often utilized ...

In the rapidly evolving Generative AI (GenAI) landscape, source code and natural language are being mixed and used in new ways. This presents opportunities for rethinking teaching practice in Introductory Programming (CS1) courses that includes, but goes ...

Quantum algorithms, represented as quantum circuits, can be used as benchmarks for assessing the performance of quantum systems. Existing datasets, widely utilized in the field, suffer from limitations in size and versatility, leading researchers ...

Since the launch of various generative AI tools, scientists have been striving to evaluate their capabilities and contents, in the hope of establishing trust in their generative abilities. Regulations and guidelines are emerging to verify ...

GenFrame is an interactive picture frame that mimics traditional paintings while being equipped with generative AI capabilities. Painting “portraits of a girl” has been a trope in art history for centuries. However, in the era of generative AI models, ...

Examining the taken-for-granted assumptions and views of the world underlying the design of technological artifacts, this work posits that a lack of ontological self-reflection can constrain imagination, impeding movement toward a world of many worlds. I ...