With the popularity of online one-to-one tutoring, there are emerging concerns about the quality and effectiveness of this kind of tutoring. Although there are some evaluation methods available, they are heavily relied on manual coding by experts, which is too costly. Therefore, using machine learning to predict instruction quality automatically…

Purpose: With the rapid transition of education from the traditional, classroom- or campus-based to the online format, there grows a need for not only taking advantage of online technology but also assessing actual and potential effects it can make on the learners, learning, education, and society. One of the risks inherent in online learning is…

Learning resources are quite important for online learning while resource provision based on algorithms could not address learners' ubiquitous needs well. Moreover, the structure and content of resources are pre-defined which makes the "Structure" and "Content" coupled closely and could not easily adjust when learners' needs…

The recommender system has gained research attention from education research communities mainly due to two main reasons: increasing needs for personalized learning and big data availability in the education sector. This paper presents a hybrid user-collaborative, rule-based filtering recommendation system for education context. User profiles are…

This paper examines how elite transnational policy and research organizations are framing emergent technologies as a hypermodern risk. It outlines how innovations in artificial intelligence and machine learning are feeding into global policy imaginaries and responses oriented to education and skills as adaption and minimization of potential…

We are living in an era of artificial intelligence (AI). There is wide discussion about and experimentation with the impact of AI on education/higher education. In this paper, we give a discussion of how AI is evolving, explore the ways AI is changing education/higher education, give a concise account of the skills universities need to teach their…

In identifying a logic of commodification, commercialization, and automation as the essence of educational technology, critics of online education partake in a well-established tradition, stretching from Plato's declamations against writing in the "Phaedrus" to post war worries that television prophesied the era of the automatic student…

Ontario's 24 colleges will play a pivotal role in establishing Ontario as a global leader in higher education -- producing a workforce with the qualifications and expertise to help drive economic recovery in the aftermath of the COVID-19 lockdown. In its recently released white paper, The Future of Ontario's Workers, the StrategyCorp Institute of…

Promises of "teacher-light" tuition and of enhanced "efficiency" via the automation of teaching have been with us since the early days of digital education, sometimes embraced by academics and institutions, and sometimes resisted as a set of moves which are damaging to teacher professionalism and to the humanistic values of…

This article sets out to explore a shift in the sources of evidence-of-learning in the era of networked computing. One of the key features of recent developments has been popularly characterized as "big data". We begin by examining, in general terms, the frame of reference of contemporary debates on machine intelligence and the role of…

Automated diagnostic aids prone to false alarms often produce poorer human performance in signal detection tasks than equally reliable miss-prone aids. However, it is not yet clear whether this is attributable to differences in the perceptual salience of the automated aids' misses and false alarms or is the result of inherent differences in…

The bicentenary in 2011 of the Luddite Revolt prompts us to ask "what would Ned Ludd think of today's automated styles of distance education?" He would no doubt echo the common criticism that educational technologies create an impersonal style of teaching and learning, and devalue the teacher. He would probably agree that online methods…

A desirable characteristic for an e-learning system is to provide the learner the most appropriate information based on his requirements and preferences. This can be achieved by capturing and utilizing the learner model. Learner models can be extracted based on personality factors like learning styles, behavioral factors like user's browsing…

To what extent a blended learning configuration of face-to-face lectures, online on-demand video recordings of the face-to-face lectures and the offering of online quizzes with appropriate feedback has an additional positive impact on the performance of these students compared to the traditional face-to-face course approach? In a between-subjects…

This article describes a new automatic digital content generation system we have developed. Recently some universities, including Hosei University, have been offering students opportunities to take distance interactive classes over the Internet from overseas. When such distance lectures are delivered in English to Japanese students, there is a…