AI promises personalized learning and scalable education. As AI agents increasingly permeate education in support of teaching and learning, there is a critical and urgent need for data architectures for collecting and analyzing data on learning, and feeding the results back to teachers, learners, and the AI agents for personalization of learning at scale. At the National AI Institute for Adult Learning and Online Education, we are developing an Architecture for AI-Augmented Learning (A4L) for supporting adult learning through online education. We present the motivations, goals, requirements of the A4L architecture. We describe preliminary applications of A4L and discuss how it advances the goals of making learning more personalized and scalable.

With the rapid advancement of internet technology, the adaptability of adolescents to online learning has emerged as a focal point of interest within the educational sphere. However, the academic community's efforts to develop predictive models for adolescent online learning adaptability require further refinement and expansion. Utilizing data from the "Chinese Adolescent Online Education Survey" spanning the years 2014 to 2016, this study implements five machine learning algorithms - logistic regression, K-nearest neighbors, random forest, XGBoost, and CatBoost - to analyze the factors influencing adolescent online learning adaptability and to determine the model best suited for prediction. The research reveals that the duration of courses, the financial status of the family, and age are the primary factors affecting students' adaptability in online learning environments. Additionally, age significantly impacts students' adaptive capacities. Among the predictive models, the random forest, XGBoost, and CatBoost algorithms demonstrate superior forecasting capabilities, with the random forest model being particularly adept at capturing the characteristics of students' adaptability.

Teachers and students will discover by June that learning "will never be the same again" as people are increasingly using the artificial intelligence chatbot ChatGPT, according to the chief executive of one of the world's largest providers of online education. ChatGPT is able to process large amounts of text and shares that information such as summarising it or explaining it "in a conversational way. The dialogue format makes it possible … to answer follow-up questions, admit its mistakes, challenge incorrect premises and reject inappropriate requests", according to its creators, OpenAI. If asked, it can create essays, poems and coding. Source material can be provided by a user or the technology uses available resources from the internet.

With the rapid pace of innovation continually disrupting business models, and in many cases entire industries, how will online learning keep up to provide the relevant courseware for today's and tomorrow's workforce? This will be essential for economic growth and to support a thriving, college-educated workforce that's equipped with the very latest knowledge, ideas and technology. In the future, I believe that institutions at the forefront of online education will be recognized via several capabilities which will have digitally transformed today's EdTech market. They will include a powerful combination of omni-channel learning pathways, cognitive courseware, virtual counselors and AI-enabled course development and grading. These innovations, underpinned by artificial intelligence (AI), will help to provide students the ultimate choice in their courseware – including up-to-the-minute courses on high-interest/high-growth subject matter – as well as highly-innovative digital services that support them every step of the way to help maximize their success and personal objectives.

The COVID-19 Omicron variant, reported to be the most immune evasive variant of COVID-19, is resulting in a surge of COVID-19 cases globally. This has caused schools, colleges, and universities in different parts of the world to transition to online learning. As a result, social media platforms such as Twitter are seeing an increase in conversations related to online learning in the form of tweets. Mining such tweets to develop a dataset can serve as a data resource for different applications and use-cases related to the analysis of interest, views, opinions, perspectives, attitudes, and feedback towards online learning during the current surge of COVID-19 cases caused by the Omicron variant. Therefore, this work presents a large-scale open-access Twitter dataset of conversations about online learning from different parts of the world since the first detected case of the COVID-19 Omicron variant in November 2021. The dataset is compliant with the privacy policy, developer agreement, and guidelines for content redistribution of Twitter, as well as with the FAIR principles (Findability, Accessibility, Interoperability, and Reusability) principles for scientific data management. The paper also briefly outlines some potential applications in the fields of Big Data, Data Mining, Natural Language Processing, and their related disciplines, with a specific focus on online learning during this Omicron wave that may be studied, explored, and investigated by using this dataset.

New Technology means New Experiences. What are Some of the Tools that are Being Developed to Enhance Experiences? This Blog reflects the future of online learning and how new technologies such as robotics, AI, and VR will shape it. Robotics, AI, and VR are all technologies that are pushing boundaries in the field of education. Robotics is being used to teach kids about science in a fun way by letting them build their own robots.

Education across the world has seen a tremendous transformation in the last two years during the Covid-19 pandemic. Online education has become a mainstream mode, and technology-driven solutions and products have had a deep impact on areas of learning, teaching, assessment, and training. Now, online or digital technologies are pivotal in conventional education at every level – from early education to research studies. The role of technology in education is growing along with the rapid advancement in digital technologies and the rise of the digital-savvy population. The market and the Covid-19 pandemic have accelerated changes in customer (learner) behaviour.

The rapid advancement of technology has drastically changed our lives in a significant amount of ways. It has been observed that almost half of the population has completely relied on modern technologies to get their daily routine tasks completed easily and efficiently. For Instance, from ordering the food online to paying their bills using online wallet apps and taking online classes, all are encompassed in the various forms of the latest technologies. In the past few years, we have witnessed an immense shift from the conventional ways of education into the latest education methods. This pandemic led to the physical closure of educational institutes, schools, colleges, universities, and the overall educational process has shifted towards the online mode of education.

Imagine a classroom where student teams are learning with a computer simulation, planning a scientific expedition to Mars. They might be challenged to think about the tools they need or the clothing and food they will bring. As the students make decisions about their voyage to the red planet, the simulation changes until each group is following a storyline all their own. That level of personalized learning is just one vision of researchers who are harnessing artificial intelligence to improve education. They're getting a boost through 11 grants of $20 million each that the National Science Foundation has awarded to establish new AI research programs for education and other fields.

Artificial intelligence in education comprises a combination of education tools and information technology. In addition, rising awareness regarding the advantages of AI-based education system coupled with the demand for enhancing equity and quality of education system is expected to give an edge to the players in the education system, providing several lucrative opportunities in the coming years. The adoption of AI tools like natural language processing, deep learning, etc. is also foreseen to provide the scope of growth for students and teachers, particularly in K12 education. With the COVID-19 pandemic across the globe, AI is expected to bring a change in perspective in the methods of imparting quality education around the world and will guarantee an upgraded network among the students and teachers in the world. Furthermore, AI devices will help the students take online education from new colleges. Every one of these aspects will adorn the development of global Artificial Intelligence in education market in the coming decade.