The metaphor of digitalisation in education emerged during a period when phenomena such as budget cuts and privatisation, layoffs and outsourcing of labour marked the ethos of the twenty-first century. During this time, digitalisation was constructed as an ultimate purpose and an all-encompassing matter in education. As a result, these narratives…

Today's students expect more than lectures more from higher education. Contemporary students are searching for the education they need to advance in the workplace, though they want their education to be engaging, applicable, and relevant to the real-world. Technology and innovation are in the news almost every day and people automatically think…

The paper intends to briefly present a view on current trends on our society, highlighting the technical aspects introduced by the big data phenomenon and the machine learning and artificial intelligence algorithms. It covers the threats that privacy and human rights can suffer by the general ignorance about this issues, and calls for a discussion…

Randomized A/B tests in educational software are not run in a vacuum: often, reams of historical data are available alongside the data from a randomized trial. This paper proposes a method to use this historical data--often highdimensional and longitudinal--to improve causal estimates from A/B tests. The method proceeds in two steps: first, fit a…

This article provides an examination of interrelationships among educational technology, creativity, and chess. It presents the argument that chess training fosters significant gains in scholastic achievement and cognitive ability. As a vital component in chess training programs, contemporary chess software such as Fritz serves as impressive…

This paper argues that the research field of Artificial Intelligence in Education (AIED) can benefit from integrating recent technological advances (e.g., wearable devices, big data processing, 3D modelling, 3D printing, ambient intelligence) and design methodologies, such as TORMES, when developing systems that address the psychomotor learning…

Our original paper tried to characterize the richness of the teaching repertoire of expert human teachers and to give a sense of how far there still was to go in the development of pedagogic expertise in AIED systems. It considered three ways in which more expert teaching strategies and tactics might be developed. These were via (i) the…

The purpose of this article is to compare accuracy of activity type prediction models for accelerometers worn on the hip, wrists, and thigh. Forty-four adults performed sedentary, ambulatory, lifestyle, and exercise activities (14 total, 10 categories) for 3-10 minutes each in a 90-minute semi-structured laboratory protocol. Artificial neural…

In this work, we have investigated text readability in Bangla language. Text readability is an indicator of the suitability of a given document with respect to a target reader group. Therefore, text readability has huge impact on educational content preparation. The advances in the field of natural language processing have enabled the automatic…

In this work we tackled the task of Automatic Short Answer Grading (ASAG). While conventional ASAG research makes prediction mainly based on student answers referred as Answer-based, we leveraged the information about questions and student models into consideration. More specifically, we explore the Answer-based, Question, and Student models…

We investigate automatic detection of teacher questions from automatically segmented human-transcripts of teacher audio recordings collected in live classrooms. Using a dataset of audio recordings from 11 teachers across 37 class sessions, we automatically segment teacher speech into individual teacher utterances and code each as containing a…

In discussing a university-industry partnership on the development of an Artificial Intelligence (AI)-based simulation platform, this conceptual paper explores the use of Natural Language Processing (NLP) as a pedagogical innovation in social work. Critically reflecting upon this ongoing project, we discuss the current promises and limitations of…

Purpose: Explore how different automated scoring (AS) models score reliably the expressive language and vocabulary knowledge in depth of young second grade Latino English learners. Design/methodology/approach: Analyze a total of 13,471 English utterances from 217 Latino English learners with random forest, end-to-end memory networks, long…

In this paper we show how we can utilize human-guided machine learning techniques coupled with a learning science practitioner interface (DataShop) to identify potential improvements to existing educational technology. Specifically, we provide an interface for the classification of underlying Knowledge Components (KCs) to better model student…

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…