In the traditional higher education sphere, AAC&U's "Essential Learning Outcomes" (ELO 2012) and the Lumina Foundation sponsored "Degree Qualifications Profile" (DQP 2014) both set forth, in different ways, concrete expectations for student learning that include what symbolic translation and its infusions is about. Both…

Despite the rapid development in the area of learning analytics (LA), there is comparatively little focused towards the secondary level of education. This ongoing work presents the latest developed function of Wikiglass, an LA tool designed for automatically recognising, aggregating, and visualising levels of thinking orders in student…

This report stems from the Data Innovation in US Education initiative funded by the Bill & Melinda Gates Foundation. The work was led by the Preva Group, in partnership with IMPAQ and Periscopic. The initiative had three overarching goals: to support the Foundation's efforts to better understand the impact of their education investments; to…

Modern educational methods emphasize the necessity to transfer knowledge instead of data or information within the educational process. Thus it is important to the educational texts supporting the educational process contain knowledge in a particular textual representation. But it is not trivial to decide whether the particular piece of text…

This paper presents "the DataBuzz Project." "DataBuzz" is a high-tech, mobile educational lab, which is housed in a 13-meter electric bus. Its specific goal is to increase the data literacy of different segments of society in the Brussels region through inclusive and participatory games and workshops. In this paper, we will…

Machine learning algorithms have recently been used to predict students' performance in an introductory physics class. The prediction model classified students as those likely to receive an A or B or students likely to receive a grade of C, D, F or withdraw from the class. Early prediction could better allow the direction of educational…

The virtual conference on the Artificial Intelligence in education and training was held from 11 to 15 November 2019. It was open to all members of the UNESCO-UNEVOC TVeT Forum, an online community with more than 6500 members. The conference sought to gather knowledge, insights, experiences and practices from the international TVET community on…

SimStudent is a machine-learning agent initially developed to help novice authors to create cognitive tutors without heavy programming. Integrated into an existing suite of software tools called Cognitive Tutor Authoring Tools (CTAT), SimStudent helps authors to create an expert model for a cognitive tutor by tutoring SimStudent on how to solve…

This article aims to lay a foundation for the research and practice of machine learning education for creative practitioners. It begins by arguing that it is important to teach machine learning to creative practitioners and to conduct research about this teaching, drawing on related work in creative machine learning, creative computing education,…

Technology is a catalyst that is reconfiguring every profession, from finance to medicine to media. Old verities about "useful" skills are disappearing into the cloud. Many students give the existential question "What do I want to be?" a simple response: "Employed." It is not obvious what skills that will require in a…

The future of human learning will be shaped by technology, but in ways completely different from those of the past. Over recent decades, the emergence and development of educational technology has been largely divorced from the broader cultural conversation about the impact of machine intelligence on the future of humanity. Technology can best…

Innovation is one of the key drivers of success in modern business, and continuous learning is what drives innovation. Building on the theory and practice of consulting psychology and the science of learning, along with principles of human resources development, Manuel London and Thomas Diamante articulate a five-step process for designing and…

Japanese university students (N=253) conversed with human and Artificially intelligent (AI) chatbot partners then recorded their perceptions of these interactions via open-ended written feedback. This data was qualitatively analyzed to gain a better understanding of the merits and demerits of using chatbots for English study from the students'…

The purpose of the current investigation was to describe how the artificial neural networks (ANNs) can be used to interpret student performance on cognitive diagnostic assessments (CDAs) and evaluate the performances of ANNs using simulation results. CDAs are designed to measure student performance on problem-solving tasks and provide useful…

There is an inextricable link between attention and learning, yet AIED systems in 2015 are largely blind to learners' attentional states. We argue that next-generation AIED systems should have the ability to monitor and dynamically (re)direct attention in order to optimize allocation of sparse attentional resources. We present some initial ideas…