Neural Dataset Generality

Often the filters learned by Convolutional Neural Networks (CNNs) from different datasets appear similar. This is prominent in the first few layers. This similarity of filters is being exploited for the purposes of transfer learning and some studies have been made to analyse such transferability of features. This is also being used as an initialization technique for different tasks in the same dataset or for the same task in similar datasets. Off-the-shelf CNN features have capitalized on this idea to promote their networks as best transferable and most general and are used in a cavalier manner in day-to-day computer vision tasks. It is curious that while the filters learned by these CNNs are related to the atomic structures of the images from which they are learnt, all datasets learn similar looking low-level filters. With the understanding that a dataset that contains many such atomic structures learn general filters and are therefore useful to initialize other networks with, we propose a way to analyse and quantify generality among datasets from their accuracies on transferred filters. We applied this metric on several popular character recognition, natural image and a medical image dataset, and arrived at some interesting conclusions. On further experimentation we also discovered that particular classes in a dataset themselves are more general than others.Comment: Long version of the paper accepted at IEEE International Conference on Image Processing 201

The Art and Science of Promptgramming

In this paper, I explore the emerging field of Promptgramming, a technique essential for harnessing the potential of generative AI. Promptgramming involves crafting strategic prompts to guide AI systems, a skill that becomes increasingly crucial as AI tools become more integrated into our daily technological landscape, particularly in education. I discuss the core principles and best practices of Promptgramming, emphasizing its importance in creating personalized and engaging educational content. Additionally, I address the ethical considerations and challenges that arise with the integration of AI in education, such as academic integrity, bias, privacy, and misinformation. Looking towards the future, I highlight the integration of AI into mainstream operating systems and its implications for society, calling for a focus on AI literacy and ethical usage. The paper synthesizes these concepts, underscoring the necessity for educators and society to adeptly navigate the emerging landscape of AI, ensuring its responsible and effective application in enhancing learning experiences and societal development

Developing a Culturally-Responsive Coding Scheme for Game Design

This research seeks to advance culturally-responsive computing education (Eglash et al., 2013) by creating an instrument to systematically analyze manifestations of students’ cultural contexts within the collaborative artifacts they produce using the WL curriculum learning activities. With an aim to develop an analytical “tool” to identify, categorize, describe and study cultural signatures in WL game design rtifacts, the RQ becomes: RQ: How can Pusch’s seminal framework of cultural dimensions inform systematic analysis methodology to decode students’ localized cultural contexts, worlds views, and self-conceptions reflected through their collaborative game designs using the WearableLearning education technology across 3 countries

Pyrolysis Oil and its Applications

Fuels obtained from biomasses are becoming a valid alternative to the use of fossil fuels, especially in the light of stringent environmental constraints. Fast pyrolysis of lignocellulosic biomass produces a renewable liquid fuel called pyrolysis oil that has a variety of applications as a potential replacement for fossil fuels. One aspect of pyrolysis oil that has been addressed to promote its broader use is improving the stability of pyrolysis oil with respect to viscosity increase over time, making long range transportation and storage possible. Other properties of pyrolysis oil present challenges during its use in standard equipment constructed for petroleum derived fuels. Significant effort has been spent on research and development to improve the stability of pyrolysis oil and for its use in burners and other energy applications. In this presentation, I will focus on the rapid thermal processing or RTPTM process for fast thermal conversion of wood and/or other biomass to high yields of liquid fuels and the various applications of stabilized RTP green fuel

On Human-Centered AI in Education

As AI advances, human-centered principles are key to harnessing its benefits ethically. We explore scaling human-centered AI to enrich education. Thoughtfully implemented, AI could enable personalized, equitable learning and amplify teachers’ strengths, and also facilitate more intuitive human-AI collaboration. However, benefits require mitigating risks around privacy, bias, transparency, and social-emotional impacts. Multidisciplinary teams should research embedding ethics into systems. Policymakers need to develop guardrails for privacy, fairness and accountability. Schools should pilot applications cautiously and demand explainable AI. Diverse voices must guide tool development to enhance autonomy and inclusion. With care, human-centered AI may propel an educational renaissance that uplifts learning and the human spirit. But we must build this future on moral foundations serving all students

Theories and Practices of Emotion, Movement, and Embodiment in Mathematical Learning

Physical movements, emotion, and embodiment are fundamental to mathematical learning. Problem: Lack of study in collaborative embodiment. Identified applications of embodiment using virtual reality. An exploratory analysis of a set of videos for an embodied mathematical game was conducted

Elementary Students Designing Math Learning Slideshows with NoCode NoCost Programming Tools

Introducing Usable Math Free & Accessible: An OER platform tailored for elementary kids, educators, caregivers and families. Interactive Problem Solving: Engages students in grades 3-6 in math problem solving and design thinking. Four Virtual Coaches: Estella Explainer, Chef Math Bear, How-to-Hound & Visual Vicuna offer diverse problem-solving strategies through words, images, animations, and more. Encouragement & Motivation: After every problem a feedback slide builds children’s learning and confidence while fostering curiosity about maths. Multiple Modes of Learning: 17 modules explore essential math concepts and 3 new modules integrate storytelling, history, and science learning

Enhancing Indic Children’s Tales with Dall-E 3 AI Imagery Panchatantra: The Story of the Crows and the Owls

Enhancing Indic Children’s Tales with Dall-E 3 AI Imagery Panchatantra: The Story of the Crows and the Owl

Climate Change and Modern Education: Preparing for a Sustainable Future

Climate change is a global phenomenon that has attracted widespread attention in recent decades due to its profound impact on the environment and society. Although climate change is a phenomenon occurring since the inception of Earth, anthropogenic activities such as fossil fuel consumption due to industrialization, transportation and domestic usage, deforestation and land use changes due to urbanization have accelerated the process. Climate education has become an important part of modern education as it helps raise awareness of the issue and promote behavior of climate consciousness which leads to climate action in a positive direction. The authors highlight the values of interactive and engaging platforms to educate students about climate change and its impacts. The article focuses on origin and implications of climate change education and international and national bodies that have provided an all inclusive curriculum for climate education. The authors argue the need to focus on climate education especially in vulnerable communities to reduce disparities in climate change education to address the climate crisis