Purpose: The study aims to determine the factor of perceived machine learning adoption (MLA) values that affect learners' intention to continue using (ICU), the extent of their relationships in the learners' ICU and the role of locus of control (LOC) in their relationship. Design/methodology/approach: The study employed a rigorous literature…

Kaggle is a data modeling competition service, where participants compete to build a model with lower predictive error than other participants. Several years ago they released a simplified service that is ideal for instructors to run competitions in a classroom setting. This article describes the results of an experiment to determine if…

Globalizations across organizations are impacted by economic, political, legal, security, social, cultural, ecological, and technological dimensions among others. This paper presents the readings from relevant articles and studies pertaining to the relationship between technology and its dimensions with globalization. Globalization and…

How might digital technology and notably smart technologies based on artificial intelligence (AI), learning analytics, robotics, and others transform education? This book explores such question. It focuses on how smart technologies currently change education in the classroom and the management of educational organisations and systems. The book…

There is a general consensus in theories of human speech recognition that humans engage in predictive processing during online speech processing. There are also claims that predictive processing indicates the operation of a predictive coding (PC) mechanism (Rao & Ballard, 1999). Formally, PC is a generative model where top-down signals consist…

The emergence of machine intelligence, which is superior to the best human talent in some problem-solving tasks, has rendered conventional educational goals obsolete, especially in terms of enhancing human capacity in specific skills and knowledge domains. Hence, artificial intelligence (AI) has become a buzzword, espousing both crisis rhetoric…

Popular platforms such as Facebook and Twitter integrate third-party apps from developers to enhance the experience of their users. While third-party apps are widely used to provide legitimate functionality, the abuse of third-party apps by attackers is also becoming prevalent. Attackers are abusing third-party apps to orchestrate their malicious…

Using critical theory of technology and intersectionality, this study uses a mixed methods approach to investigate how power dynamics are embedded within the scholarship application of a two-year college in the United State. It also researches what might happen if the scholarship determination process was completed by machine learning and how that…

The Artificial Intelligence (AI)-driven automated decision-making support system has been heralded as a considerable workforce replacement in the near future by automating mundane repetitive tasks and eliminating time-consuming support tasks in all disciplines (Park & Glenn, 2017). Even though a number of practical hurdles in the field of the…

Rapid growth and recent developments in education sector and information technologies have promoted E-learning and collaborative sessions among the learning communities and business incubator centers. Traditional practices are being replaced with webinars (live online classes) E-Quizes (online testing) and video lectures for effective learning and…

The students' progression and attainment gap are considered as key performance indicators of many universities worldwide. Therefore, universities invest significantly in resources to reduce the attainment gap between good and poor performing students. In this regard, various mathematical models have been utilised to predict students' performances…

Like many other service organizations, drop-in peer tutoring centers often struggle to determine the required number of qualified tutors necessary to meet learner expectations. Service work is largely a response to probabilistic calls for staff action and therefore difficult to forecast with precision. Moreover, forecasting models under long…

Designing good multiple choice questions (MCQs) for education and assessment is time consuming and error-prone. An abundance of structured and semi-structured data has led to the development of automatic MCQ generation methods. Recently, ontologies have emerged as powerful tools to enable the automatic generation of MCQs. However, current question…

This study was an examination of the systemization of, and law and ethics concepts incorporated into, robotics and computer science courses that offered artificial intelligence as part of the curriculum of selected community colleges. The researcher completed a mixed-methods study using surveys and document analysis. The first area of…

Recent advances in computational linguistics and the social sciences have created new opportunities for the education research community to analyze relevant large-scale text data. However, the take-up of these advances in education research is still nascent. In this paper, we review the recent automated text methods relevant to educational…