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…

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…

Did you ever wonder whether education has a role to play in preparing our societies for an age of artificial intelligence? Or what the impact of climate change might be on our schools, families and communities? Trends Shaping Education examines major economic, political, social and technological trends affecting education. While the trends are…

In the year that George Ritzer publishes the ninth edition of "The McDonaldization of Society," moving his famous theory firmly "Into the Digital Age," critical educator Petar Jandric and sociologist Sarah Hayes invited George to a dialogue on the digital transformation of McDonaldization and its critical application to Higher…

In this study, it was aimed to predict elementary education teacher candidates' achievements in "Science and Technology Education I and II" courses by using artificial neural networks. It was also aimed to show the independent variables importance in the prediction. In the data set used in this study, variables of gender, type of…

The computing education research literature contains a wide variety of methods that can be used to identify students who are either at risk of failing their studies or who could benefit from additional challenges. Many of these are based on machine-learning models that learn to make predictions based on previously observed data. However, in…

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…

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…

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…

In this paper we review the contribution of our original work titled "Simulating Instructional Roles Through Pedagogical Agents" published in the "International Journal of Artificial Intelligence and Education" (Baylor and Kim in "Computers and Human Behavior," 25(2), 450-457, 2005). Our original work operationalized…

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…