MicroData is an application that makes it easy to interactively visualise and record live sensor data in support of data literacy in the classroom. It leverages a BBC micro:bit coupled with an Arcade shield accessory, and needs no other hardware. It ...

Existing cybersecurity education tools either focus on awareness training or aim to strengthen the already high knowledge level of industry professionals. This project introduces a fully browser-based platform which teaches high-school students about ...

Integrating AI-driven tools in higher education is an emerging area with transformative potential. This paper introduces Iris, a chat-based virtual tutor integrated into the interactive learning platform Artemis that offers personalized, context-aware ...

This paper presents a case study on the design, development, and evaluation of Tabeer-e-Isharaat (TEI), a digital educational platform tailored to meet the needs of deaf children at the Deaf Reach School in Pakistan. Informed by classroom observations ...

The past decade has seen a rapid expansion of personal and interpersonal multimedia collections. These collections offer a wealth of information about individuals, including their interests, health, and significant life events. While automated techniques ...

Virtual reality (VR) has emerged as a promising educational training method, offering a more engaging and immersive experience than traditional approaches. In this case study, we explore its effectiveness for diversity, equity, and inclusion (DEI) ...

Many real-world problems have multiple, conflicting objectives. Without knowing the utility function of the decision maker, one must extensively learn all Pareto-efficient trade-offs to make sure that the true preferred policy is included in the learned ...

In the rapidly evolving computing technology landscape, ethical issues arise at every stage of the data lifecycle, from collection to downstream predictive analytics, including but not limited to pre-existing bias, privacy, fairness, and accountability ...

The use of robotic objects and platforms has the potential to provide interactive methods that generate engagement. This study proposes the design and implementation of YachaBot as an educational tool to level and reinforce topics of mathematics for ...

Preference-based reinforcement learning (RL) has emerged as a new field in robot learning, where humans play a pivotal role in shaping robot behavior by expressing preferences on different sequences of state-action pairs. However, formulating realistic ...

This study explores the integration of Augmented Reality in civic education within Maker Space Museums. We devised a methodology using feedback from students at the University of la Costa, Villavicencio, Colombia, and applied legal design ...

The trust game, a simple two-player economic exchange, is extensively used as an experimental measure for trust and trustworthiness of individuals. We construct deep neural network–based artificial intelligence (AI) agents to participate a series of ...

Sandbox model provides an interactive platform to study the deformation caused by tectonic forces and its effects on the development of different geological basins. However, the actual educational benefits of incorporating sandbox modeling into ...

This work implements the use of the “Educa Plus” platform to achieve interactive and meaningful learning in the field of chemistry. The research is developed through an analysis that combines quantitative and qualitative methods, using a ...

With the advent of online educational platforms and the advances in pedagogical technologies, self-directed learning has emerged as one of the most popular modes of learning. Distance education---elevated by the COVID-19 pandemic---involves methods of ...

Emotion recognition has been well researched in mono-modality in the past decade. However, people express their emotion or feelings naturally via more than one modalities like voice, facial expressions, text, and behaviors. In this paper, we propose a ...

In interactive agent learning, the human may teach in a collaborative or adversarial manner. Past research has been focusing on collaborative teaching styles as these are common in human education settings, while overlooking adversarial ones despite ...

Machine learning (ML) algorithms have shown great potential in edge-computing environments, however, the literature mainly focuses on model inference only. We investigate how ML can be operationalized and how in-situ curation can improve the quality of ...

Intelligent robots need to recognize objects in their environment. This task is conceptually different from the typical image classification task in computer vision. Robots need to recognize particular object instances, not classes of objects, which ...

Programming problems are commonly used as a learning and assessment activity for learning to program. We believe that programming problems can be effective for broader learning goals. In our large-enrolment course, we have designed special programming ...