FACE READERS: The Frontier of Computer Vision and Math Learning

The future of AI-assisted individualized learning includes computer vision to inform intelligent tutors and teachers about student affect, motivation and performance. Facial expression recognition is essential in recognizing subtle differences when students ask for hints or fail to solve problems. Facial features and classification labels enable intelligent tutors to predict students’ performance and recommend activities. Videos can capture students’ faces and model their effort and progress; machine learning classifiers can support intelligent tutors to provide interventions. One goal of this research is to support deep dives by teachers to identify students’ individual needs through facial expression and to provide immediate feedback. Another goal is to develop data-directed education to gauge students’ pre-existing knowledge and analyze real-time data that will engage both teachers and students in more individualized and precision teaching and learning. This paper identifies three phases in the process of recognizing and predicting student progress based on analyzing facial features: Phase I: Collecting datasets and identifying salient labels for facial features and student attention/engagement; Phase II: Building and training deep learning models of facial features; and Phase III: Predicting student problem-solving outcome. © 2023 Copyright for this paper by its authors

The Ethical Impact of Artificial Intelligence on Catholic Education

Thesis advisor: Andrea ViciniThesis advisor: James KeenanThis thesis studies the impact of AI on education and how to respond to the challenges within the context of Catholic education. The approach is through the lens of Catholic social thought. The thesis is divided into three chapters. Chapter One discusses the relationship between education and technology, and current trends in AI as applied to education. It also presents Jesuit education as one example of Catholic education and focuses on a specific context, Spanish Jesuit schools. Chapter Two introduces a range of resources from theological ethics. This includes fundamental concepts from Catholic social teaching, and different perspectives of theological ethics applied to technology. This chapter also presents how education is envisioned from a Catholic point of view. Finally, in Chapter Three, by applying the concept of human dignity and other concepts from Catholic social teaching, we propose some reflections on how to discern the use of AI in education.Thesis (STL) — Boston College, 2023.Submitted to: Boston College. School of Theology and Ministry.Discipline: Sacred Theology

Data ethics : building trust : how digital technologies can serve humanity

Data is the magic word of the 21st century. As oil in the 20th century and electricity in the 19th century: For citizens, data means support in daily life in almost all activities, from watch to laptop, from kitchen to car, from mobile phone to politics. For business and politics, data means power, dominance, winning the race. Data can be used for good and bad, for services and hacking, for medicine and arms race. How can we build trust in this complex and ambiguous data world? How can digital technologies serve humanity? The 45 articles in this book represent a broad range of ethical reflections and recommendations in eight sections: a) Values, Trust and Law, b) AI, Robots and Humans, c) Health and Neuroscience, d) Religions for Digital Justice, e) Farming, Business, Finance, f) Security, War, Peace, g) Data Governance, Geopolitics, h) Media, Education, Communication. The authors and institutions come from all continents. The book serves as reading material for teachers, students, policy makers, politicians, business, hospitals, NGOs and religious organisations alike. It is an invitation for dialogue, debate and building trust! The book is a continuation of the volume “Cyber Ethics 4.0” published in 2018 by the same editors

The tertiary education institution of the future towards 2030: scenarios for skills transformation

The research methodology used in this research was comprised of Inayatullah’s Six Pillars of Futures Studies, in which emphasis was placed on scenario planning and the creation of alternative scenarios for the tertiary education institutions in South Africa towards 2030. An environmental scan revealed the drivers of change in the education sector and in the world of work. Deepening of the future of education was done through Causal Layered Analysis (CLA) to facilitate the discerning of issues from various viewpoints in the creation and expansion of transformative stories so as to provide a window into possible futures for skills transformation. The four scenarios for the tertiary education institution of the future, namely “Stairway to Heaven”, “Highway to Hell”, “Bat out of Hell” and “Still Raining” were developed. These scenarios can be used as departure points by tertiary education providers to make strides towards the Global Sustainable Development Education 2030 targets and the attainment of South Africa’s Vision 2030 targets contained in the National Development Plan. Equally important, these scenarios make known what was previously unknown, exploring the possible and impossible, and encouraging new, innovative thinking for decision-makers. The “Stairway to Heaven” scenario supplies a future in which all stakeholders approve of and embrace the mandate of providing relevant skills and job readiness in a fast-changing world, and the benefits are maximised for all involved through co-creation. It is a scenario where industry, tertiary institutions and society have decided that the purpose of education should be lifelong learning for a viable, productive and sustainable world. The desired future of tertiary education is set against a backdrop of public and private sector collaboration, with the aim of turning the nation into an excellent hub for skills transformation. Furthermore, the scenario provides some insight on the vital measures required to embrace the innovation and the appropriate pedagogy. This research was motivated by the need to shine a light on the 21st century learner, rapidly obsoleting skills, no-collar worker, skills of the future, learning futures, and possible predictions about what new jobs may come into existence so that educationists can better prepare for the future. This research offers solutions on how institutions can prepare students for future jobs, especially considering the rapid changes in jobs and the unprecedented demise of certain jobs. The research closes a research gap through creating scenarios that offer various stakeholders in the tertiary education sector different insights and analysis into a number of interpretations of the potential paths that they can follow. The scenario application culminated in the formulation and creation of a “future vision of the tertiary education institution in South Africa towards 2030”, delivering a platform for skills transformation that will deliver adaptable workers, and sustainable and inclusive progress for all South Africans. To bring transformation into the present and design the future that embraces skills transformation, it is invaluable to interrogate the roles and choices that stakeholders of the educational sector make in determining the preferred future. The approach of this research makes it clear that, as the new world of work transpires, policymakers, students, labour, educational leaders, captains of industry and workers must proactively manage the workforce transitions. The focal issue is to discover the appropriate tools that will establish the confidence necessary to create the preferred future for skills transformation in tertiary institutions. This research has laid a platform for co-creation with various stakeholders in an effort to visualise a tertiary institution that contributes to skills development. The vision must accept that the South African jobs and skills historical profile is different from that of industrialised countries. Alternatively, the nation should respond to the double-barrelled challenge of participating in a high skills’ competitive environment on a global scale, as well as a local context that creates low-wage, blue-collar jobs to absorb the large numbers who are unemployed. The challenge is even greater for South Africa, because the economy – if highly service-oriented, with a big informal sector and a quality postgraduate education offering – is supported by a basic education system that is not producing enough critical thinkers who are equipped for university and work life. Thus, the system requires a double transformation to ensure student-centredness and meet the needs of a future worker