This research focuses on recent studies of AI-Enhanced Personalized Learning, organized into three main sections: understanding key aspects, investigating practical methodologies, and elucidating motivations for AI integration into personalized learning to provide insights for future research in learning science. The methodology involves a rapid literature review, emphasizing eligibility criteria and a precise study selection process. The conclusion underscores the importance of seamlessly integrating AI analytics with humancentric approaches in personalized learning, enriching data, and training algorithms for efficiency, alongside emphasizing the role of human oversight.
Author: Aula Blog Editor
-
Beyond the algorithm: Empowering ai practitioners through liberal education
As AI technology continues to transform society, there is a growing need for engineers and technologists to develop interdisciplinary skills to address complex, society-wide problems. However, there is a gap in understanding how to effectively design and deliver inter-disciplinary education programs for AI-related training. This paper addresses this gap by reporting on a successful summer school program that brought together specialists from around the world to engage in deliberations on responsible AI, as part of a Summer School in Responsible AI led by Mila – Quebec Artificial Intelligence Institute. Through deep dive auto-ethnographic reflections from five individuals, who were either organizers or participants, augmented with end-of-program feedback, we provide a rich description of the program’s planning, activities, and impact. Specifically, our study draws from engineering education research, bridging the gap between research and practice to answer three research questions related to the program: (1) How did the program design enable a more effective understanding of interdisciplinary problem-sets? (2) How did participants experience the interdisciplinary work of the program? (3) Did the program affect participants’ impact on interdisciplinary problem-sets after the program? Our findings highlight the benefits of interdisciplinary, holistic, and hands-on approaches to AI education and provide insights for fellow engineering education researchers on how to design effective programs in this field.
-
Bridging the Gap: Exploring Semiconductors Exposure and Motivation among Multidisciplinary Engineering Students
Several educational initiatives are currently underway to address workforce challenges in the semiconductors industry. Assessing students’ exposure to and motivation for semiconductors-related topics is an essential initial step toward recognizing areas where primary efforts should be concentrated. The primary objective of this study is to assess students’ awareness and motivation concerning semiconductors in the context of a multidisciplinary introduction to electrical engineering course. Through quantitative analysis and the administration of an existing validated survey instrument, we aim to explore students’ exposure to semiconductors-related topics and potential correlations between awareness, motivation, and demographic variables, including gender and class standing. The instrument was administered to a cohort of 255 students enrolled in a multidisciplinary course covering the fundamentals of electrical engineering. Preliminary data indicates that only 9% of the students in this cohort haven taken a class about semiconductors and only 3% have some interest in pursuing a career in the semiconductors field. The results of this analysis hold several significant implications for engineering education and the semiconductor industry. Firstly, the limited exposure to and interest in semiconductors among engineering students suggest the need for curriculum alignment with the demands of the semiconductor industry and interdisciplinary education. By doing so, we empower students from diverse disciplines to contribute to technological advancements, innovation, and problem-solving fostering a more inclusive, diverse, and well-rounded workforce within the semiconductor sector.
-
AI Governance for the Global Majority: Understanding Opportunities and Challenges
Artificial intelligence (AI) will impact individuals, communities, and institutions worldwide in both unique and universal ways. While public and private sector actors have begun to build the foundations for achieving more secure and trustworthy AI, the voices shaping the AI governance agenda are primarily from the Global North. To govern AI in a way that reflects a global range of contexts, it is imperative to adopt a more inclusive lens in defining its harms and opportunities. Broadly accepted AI governance principles may struggle to translate into practice without a more explicit focus on how priorities and challenges prevalent in the Global Majority intersect with AI.
-
Autonomous weapons: Palantir, Airbus engineers seek to calm ‘killer robot’ fears
Our Fellow Tammy Mackenzie was recently interviewed by FRANCE 24’s Tech24 segment to share her thoughts on AI in Autonomous Weapons Systems (AWS).
The segment looks into the ethical implications of deploying AI in military operations and discusses the critical need for regulatory frameworks that ensure these technologies are used responsibly. As the conversation around AI evolves, we must engage with these topics. Properly balancing military pragmatism and AI ethics is among the most significant global challenges today.
How do you think we can achieve a balance between innovation and responsibility?
-
Leveraging AI in education
To stay ahead, it is essential to adapt to the rise of AI by intelligently incorporating it into all levels of the education process
-
A Global South Perspective on Explainable AI
A context-driven approach is necessary to translate principles like explainability into practice globally. These vignettes illustrate how AI can be made more trustworthy for users in the Global South through more creative, context-rooted approaches to legibility.
-
De la gestión de crisis a la crisis de gestión: Responsabilidad y democracias liberales en el estallido de la pandemia de la COVID-19
El estallido de la pandemia de la COVID-19 conmocionó a las sociedades de todo el mundo. En su esfuerzo por adaptar sus respuestas a la crisis a sus propias condiciones de supervivencia, los gobiernos tendieron desde el principio a recurrir a argumentos que limitaban la rendición de cuentas frente a la población. Las democracias liberales no fueron ajenas a esta forma de abordar el problema. En ese contexto, sus dirigentes esgrimieron la metáfora de la guerra para describir su posición como garantes de la supervivencia de la población frente a la nueva amenaza. Atenazados entre la incertidumbre y la necesidad de predecir la naturaleza y la evolución del enemigo invisible, sus respuestas pusieron en entredicho la responsabilidad política, profesional y personal de los dirigentes. En este artículo se ofrece una reflexión sobre el nivel de responsabilidad de los gobiernos de las democracias liberales en la gestión de la pandemia. Durante la crisis, los decisores tendieron a dejarse llevar por las narrativas que les resultaban más beneficiosas para escabullirse de sus responsabilidades, apuntalando así sus necesidades políticas a corto plazo a través del uso de metáforas belicistas, el juego de culpas, la competición con otros países y la dispersión de las fuentes en el proceso de toma de decisiones. Esta realidad supone hoy un llamado a la reflexión a los actores sociales, incluidos los expertos, intelectuales y medios de comunicación, para trascender la retórica predominante en la gestión de la pandemia y la “nueva normalidad” que le siguió, de manera que la dinámica de alteraciones constantes de las reglas del juego y las responsabilidades pueda dar paso, en el futuro, a un escenario con menos arbitrariedad y más rendición de cuentas.
-
How Issav Asimov Predicted/Influenced the Present AI Scenario
This paper investigates Isaac Asimov’s impact on modern artificial intelligence (AI) and robotics, focusing on how his visionary narratives and Three Laws of Robotics resonate with current technological practices and ethical debates. Analyzing specific predictions from Asimov’s works that have materialized in today’s AI applications, we draw parallels between his fictional insights and real-world technologies from leading tech firms. The study further considers the social implications of AI, including issues of human displacement and trust. We also discuss the progress and challenges in formulating global ethical standards for AI, reflecting on national and international efforts. The analysis highlights Asimov’s lasting influence and the ongoing importance of ethical deliberation in the AI field.
-
Parameter efficient fine tuning: A comprehensive analysis across applications
The rise of deep learning has marked significant progress in fields such as computer vision, natural language processing, and medical imaging, primarily through the adaptation of pre-trained models for specific tasks. Traditional fine-tuning methods, involving adjustments to all parameters, face challenges due to high computational and memory demands. This has led to the development of Parameter Efficient Fine-Tuning (PEFT) techniques, which selectively update parameters to balance computational efficiency with performance. This review examines PEFT approaches, offering a detailed comparison of various strategies highlighting applications across different domains, including text generation, medical imaging, protein modeling, and speech synthesis. By assessing the effectiveness of PEFT methods in reducing computational load, speeding up training, and lowering memory usage, this paper contributes to making deep learning more accessible and adaptable, facilitating its wider application and encouraging innovation in model optimization. Ultimately, the paper aims to contribute towards insights into PEFT’s evolving landscape, guiding researchers and practitioners in overcoming the limitations of conventional fine-tuning approaches.
-
The Rainbow Economy Model Leads to Holistic Circular Model
The Rainbow Economy Model is a theoretical framework that proposes a holistic and inclusive approach to economic development. This model emphasizes the importance of diversity, equality, and sustainability in driving economic growth and prosperity. It recognizes that a vibrant and resilient economy is built upon a diverse range of industries, businesses, and individuals, each contributing their unique strengths and perspectives. The Rainbow Economy Model promotes the integration of social, environmental, and economic factors in decision-making processes, aiming to create a balanced and equitable society. This research aims to explore the principles and potential implications of the Rainbow Economy Model, assess its feasibility in different contexts, and identify strategies for its implementation. The research adopts mixed methodology to ascertain the holistic sustainability circular model namely the “The Rainbow Economy Model”. The practical, the social implications are quite evident, and the contribution is the data collected for future research and the Rainbow model of Sustainability.
-
You are either with us, or against us: the small state of Serbia between domestic ambition and external pressures
This article examines the position of Serbia as a small state in the context of external pressures, largely reflecting an ambition to balance the East and the West. While clearly interested in offers and benefits from collaboration with both geostrategic realms, Serbia’s authorities have always left space for possible alternatives—a trend that is expected to serve power preservation or to inform external players to what extent Serbia is keen on balancing and juxtaposing great powers in the region. While analyzing the limited case of the Covid-19 pandemic and the never-ending case of Kosovo, additionally actualized by the Russo-Ukrainian war, the present study suggests that Serbia is at the crossroads between growing ambitions and the real limitations of what its smallness can achieve. The paper concludes that Serbian foreign policy contains all the prerogatives of movement without a goal, a search for strategic partnerships, but without a coherent political vision—an approach that generates suspicion of being labelled as distracted and unreliable.