This research purposed to test the accuracy of Machine Learning techniques for learner analytics based on SEEEM factors of secondary education students in Thailand's COVID-19. Research volunteer came from secondary education students in Thailand who invited by researcher. The research questionnaire adapted from Computational Thinking Assessment by…

This volume explores the implications of student mobility on higher education across the Asia Pacific Region. Student mobility has become a major feature of higher education throughout the world, and most particularly over the past two decades within the Asia Pacific Region. This system of mobility is entering a period of profound predicted…

Among various methods to improve educational conditions, efforts are being made to reduce the number of students per teacher. However, for policy decisions it is necessary to reflect multiple factors such as changes in the number of students over time and local requirements. Time-series analysis-based statistical models have been used as a method…

This dissertation comprises three chapters. The first two address issues within the education system, focusing on strategies to attract and retain high-quality teachers in the public sector. The third chapter, a collaborative effort with Martin Martinez and Miguel Saldarriaga, explores the application of machine learning tools for nowcasting…

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…

As part of a broader information literacy agenda, academic libraries are interested in advancing algorithmic literacy. Folk theories of algorithmic decision-making systems, such as recommender systems, can provide insights into designing and delivering enhanced algorithmic literacy initiatives. Users of the Spotify music recommendation systems…

This paper offers a literature synthesis on the role of artificial intelligence (AI) as a strategic policy instrument in tackling the challenges of Teaching and Learning (TL) within the Ghanaian educational context. By examining the current state and prospects of AI in education (AIEd), specifically in Ghana, this study highlights how AI can…

This paper examines the political economy of artificial intelligence (AI) and education in China, through an analysis of government policy and private sector enterprise. While media and policy discourse often portray China's AI development in terms of a unified national strategy, and a burgeoning geopolitical contestation for future global…

In Applied AI, or 'machine learning', methods such as neural networks are used to train computers to perform tasks without human intervention. In this article, we question the applicability of these methods to education. In particular, we consider a case of recent attempts from data scientists to add AI elements to a handful of online learning…

In an earlier essay (Sibley, Angus. 2016. "Can there be a Catholic economics?" "International Studies in Catholic Education" 8 (2), 211) I observed that 'the Church has a long record of consistently criticisng the obsession with competition that has such a dominant place in orthodox economic thinking and practice'. Inordinate…

Two years into the COVID-19 pandemic, much still feels the same, though in some important ways thinking and behaviors may be shifting in anticipation of longer-term changes in the ways lives are structured and how places and spaces are shared. In higher education, these shifts may reflect an evolution from short-term "emergency" or…

Social media can contribute to an inclusive society, but they are also asymmetrical and polarised communication spaces. This requires competent teachers to build critical digital citizenship. The aim of this article is twofold: to present web scraping and text analytics as tools that define teachers' digital competences, and to investigate which…

The Organization for Economic Co-operation and Development (OECD) estimated that approximately 9% of current jobs within OECD member states are threatened with automation and digitalization--all significant successes and advances in artificial intelligence, robotics, and computer science. With such global changes and forecasts, in the labor…

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…

This paper explores third-wave post-neoliberalism as an assemblage, fractured and dis/embodied, a mobile tool of governance articulated in various shapes across geopolitical sites. Post-neoliberalism is assembled alongside other key cultural shifts, such as post-truth, posthuman and the computational turn. In light of this Special Issue, this…