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 paper investigates international representations in the Artificial Intelligence in Education (AIED) research field. Its methodological and theoretical groundings are inspired by Arnett (2008) and Henrich et al. (2010a) who addressed the same issue in psychology, and respectively a) discovered massive imbalances in representation in top-tier…

The U.S. Department of Education is committed to supporting innovative advances in educational technology to improve teaching and learning across the nation's education systems and to support educators as they incorporate emerging technology into their learning communities. Artificial Intelligence (AI) in education is a complex and rapidly…

Student translators at the College of Language Sciences take a Media and Political Translation course in which they translate the latest news stories, media and political texts and terminology. This study proposes a model for integrating Gaza-Israeli war terminology and texts in translation instruction to familiarize the students with terminology…

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…

This poll was conducted between March 24-April 5, 2023 among a national sample of 1,000 Teens. The interviews were conducted online and the data were weighted to approximate a target sample of Teens based on gender, age, race, and region. Among the key findings are: (1) Over 40 percent of teens have heard either a lot or some about ChatGPT, while…

The purpose of this investigation is to study and pursue a user-defined approach in preserving data privacy while maintaining an acceptable level of data utility using machine learning classification techniques as a gauge in the generation of synthetic data sets. This dissertation will deal with data privacy, data utility, machine learning…

In Hong Kong, after-school activities have long been used to foster friendships and to allow students to pursue their interests in an informal setting. This case study reports on a three-phase action research process in which information technology teachers delivered after-school activities focused on artificial intelligence during the COVID-19…

We discuss developments in higher education in Australia through the lens of the impact of the COVID-19 pandemic upon the provision of education and training in the discipline of psychology. Since its inception in universities after World War II, psychology educators in Australia have continually dealt with different, often conflicting, goals and…

Teacher educators often encourage technology integration as a means to improve education. However, the COVID-19 pandemic highlighted the acceleration of more invasive technologies offering quick "fixes" in schools and society. Building on the assumption that technologies are not neutral and neither are the societies into which they are…

The rapid adoption of online technologies to deliver postsecondary education amid the COVID-19 pandemic has highlighted the potential for online learning, as well as important equity gaps to be addressed. For over ten years, McMaster University has delivered graduate global health education through a blended-learning approach. In partnership with…

This special double issue of the International Journal of Training Research with the theme 'emerging labor markets of the future--reimagining skills development and training' contains 13 articles that provide a comprehensive overview of global and regional trends that impact on emerging jobs and labor markets of the future. With particular…