Journal of Futures Studies’ Post

🌐 **Insightful Read: Leveraging AI in Large-Scale Online Education** Just stumbled upon an intriguing article in "Studies in Educational Evaluation" by Alwyn Vwen Yen Lee, which dives into a crucial aspect of online education: feedback generation in large-scale courses. The article, titled "Supporting students’ generation of feedback in large-scale online courses with artificial intelligence-enabled evaluation," offers a groundbreaking perspective on addressing the feedback gap in online education. Key Points: - **Challenge in Online Education:** In large-scale online courses, providing personalized feedback to students is a significant challenge due to limited resources. - **AI-Enabled Solutions:** The study explores how AI can aid in generating meaningful feedback. By combining peer and self-evaluation with AI-driven analysis, the process becomes more sustainable and effective. - **Mixed-Methods Approach:** The research employs both qualitative and quantitative methods, including machine learning algorithms, to analyze over 2500 student essays. - **Empowering Students:** This approach encourages students to engage more actively in the learning process, balancing the responsibilities between teachers and learners. The article underscores the importance of feedback as a powerful tool in education. In large-scale settings, traditional feedback methods often fall short, leading to a need for innovative solutions like AI-enabled evaluation. This study shows how AI can complement human assessment, enhancing the learning experience while alleviating the instructors' workload. It's fascinating to see how technology, especially AI, is revolutionizing education. As we continue to embrace online learning, studies like this provide valuable insights into making education more effective and accessible. For educators and anyone interested in the future of online education, this article is a must-read. It offers a glimpse into how AI can transform the way we approach learning and teaching on a large scale. #EducationInnovation #OnlineLearning #AIinEducation #EducationalFeedback #HigherEducation

Revolutionize Your Study Routine: How AI Can Organize Your School Class Notes Are you tired of sifting through endless pages of scattered notes, struggling to find that one crucial piece of information before an exam? It's time to revolutionize your study routine with the power of Artificial Intelligence (AI). With AI-driven note organization tools, managing your school class notes becomes a breeze, allowing you to focus more on understanding the material and less on searching for it. Here's how AI can transform the way you organize your class notes: Automatic Categorization: AI-powered tools can automatically categorize your notes based on topics, keywords, or subjects. No more wasting time manually sorting through your notes – AI does it for you, ensuring that every piece of information is neatly organized and easily accessible. Keyword Search: Ever find yourself frantically flipping through pages trying to find a specific concept or term? AI-enabled search functionality allows you to quickly locate relevant information by simply typing in keywords. Whether it's a formula, definition, or key point from a lecture, AI can pinpoint it within seconds, saving you precious study time. Smart Summarization: Long lectures or extensive reading assignments can result in an overwhelming amount of information. AI-powered summarization tools can condense lengthy notes into concise summaries, highlighting the most important concepts and key takeaways. This not only helps you grasp the material more efficiently but also makes revising for exams much more manageable. Personalized Insights: AI can analyze your note-taking patterns and provide personalized insights to enhance your study experience. By identifying areas where you may need additional review or clarification, AI can offer tailored recommendations to strengthen your understanding of the subject matter. Integration with Learning Platforms: Many AI-driven note organization tools seamlessly integrate with popular learning platforms and productivity apps. Whether you're using Google Classroom, Microsoft Teams, or another learning management system, AI can sync your notes across various platforms, ensuring that you have access to your study materials whenever and wherever you need them. Leveraging AI to organize your school class notes can significantly streamline your study process, saving you time and effort while improving your overall academic performance. By harnessing the power of AI-driven note organization tools, you can take control of your learning experience and achieve academic success with confidence. So why wait? Unlock your full academic potential with AI. Let us know what you think. And stay on the lookout for our newsletter, coming soon.

Discounted Adaptive Online Learning: Towards Better Regularization Zhiyu Zhang, David Bombara, Heng Yang Harvard June 2024 https://lnkd.in/ekt5nVX5 Follow the Regularized Leader (FTRL), as a well-known gradient descent replacement in online learning, is particularly useful for lifelong learning and conformal prediction. First, lifelong learning studies practical decision making tasks in changing environments. Convergence is not the goal anymore, which means that algorithms need to gracefully forget the past. A natural baseline is GD with constant (rather than decaying) learning rate, but it can also suffer from "wild" drifting. By analyzing discounted regret minimization, we show that *discounted FTRL* can solve this issue using suitable regularizers. Specifically, constant-LR OGD is minimax optimal, while discounted FTRL can be adaptive (instance optimal). From a practical standpoint, the message is (in our opinion) quite neat: Using regularization, discounted FTRL can always remember its prior knowledge / inductive bias while forgetting past online data. In contrast, constant-LR OGD forgets everything altogether. Next, we apply the obtained algorithm to the online conformal prediction problem of @iswgibbs and @EmmanuelCandes. It's an online convex optimization problem on the pinball losses, with an extra objective of proving *coverage*: the sum of loss gradients grows sub linearly. We find that FTRL is particularly suitable for analyzing this coverage metric. Basically, it always maintains the sum of loss gradients on the dual space, and maps it to the primal space as the output x_t. If one can control |x_t|, then the coverage metric is also controlled. Quantitatively, it allows us to achieve tight coverage bounds that adapt to the sparsity of the pinball loss gradients, improving the AdaGrad-based results of Bhatnagar et al. '23 abs: We study online learning in adversarial nonstationary environments. Since the future can be very different from the past, a critical challenge is to gracefully forget the history while new data comes in. To formalize this intuition, we revisit the discounted regret in online convex optimization, and propose an adaptive (i.e., instance optimal), FTRL-based algorithm that improves the widespread non-adaptive baseline -- gradient descent with a constant learning rate. From a practical perspective, this refines the classical idea of regularization in lifelong learning: we show that designing good regularizers can be guided by the principled theory of adaptive online optimization. Complementing this result, we also consider the (Gibbs and Candès, 2021)-style online conformal prediction problem, where the goal is to sequentially predict the uncertainty sets of a black-box machine learning model. We show that the FTRL nature of our algorithm can simplify the conventional gradient-descent-based analysis, leading to instance-dependent performance guarantees. #MachineLearning

Learning journals are not diaries! They hold far greater value. They are gateways to self-discovery, deepened insights, and transformative growth. Here are but a few uses & techniques 👇 Do you use a Learning Journal? In what ways? If not, here is but a simple sampling of what you could use a Learning Journal for (there are so many more): • Art Journals • Idea Journals • Field Journals • Learning Logs • Food Journals • Bullet Journals • Travel Journals • Dream Journals • Nature Journals • Project Journals • Fitness Journals • Process Journals • Reading Journals • Scientific Journals • Gratitude Journals • Research Journals • Parenting Journals • Emotional Journals • Mindfulness Journals • Double-Entry Journals • Career-change Journals • Creative Writing Journals • Critical Thinking Journals • Reflective Learning Journals • Professional Development Journals _______ And a short list of different techniques to try: • Reflective Sentence Completion • Time-Bound Writing • Gratitude Practice • Dream Journaling • Perspective Shift • Word Association • Visual Journaling • Six-Word Stories • Dialogue Writing • Image Prompts • Mind Mapping • Letter Writing • Free-Writing • List-Making • Clustering ____________ Learning Journals offer a semi-structured process for capturing your experiences, thoughts, reflections, learnings - and associated emotions in a deliberate and purposeful way. They are NOT mere repositories of information, but rather catalysts for: • deeper thinking and active reflection • 'thinking about thinking' • personal development • active engagement • self-awareness There is no 'right' or 'wrong' way to track your "learning" (or your Unlearning). By using a Learning Journal regularly, you can unlock a treasure trove of benefits, personal wisdom and knowledge that go well beyond traditional diary writing. Powers of Learning Journals? 👉 Power No. 1 - the process of recording what you're Learning. 🚀 Rocket Power No. 2 - the process of returning to your Learning Journals weeks, months, years afterwards. Then leaving more notes and reflections and celebrating achievements. Learning Journals were a critical part of my (David) Doctor of Education research and my decision to become a Solopreneur in April 2022. Both of us have kept active Learning Journals for over 20 years. And draw upon them regularly for creative endeavours and our business development. Want to learn more? 👇 We have a Free 5-day Educational Email Course: The Learning Journal Crash Course. And the recently released: 👇 Learning Journals 101 (Shift your thinking, Change your Life). [links in comments below] Become a subscriber to our "Notes on Humanity" and secure a 50% discount.

In the nostalgic hallways of our school memories, many of us fondly recall the joy of tackling word searches. Those intricate grids of letters, where words played hide and seek, provided a delightful diversion from the routine of classroom lectures. We'd eagerly scan each row, feeling a rush of triumph every time we spotted a hidden word. Yet, as time-consuming and entertaining as they were, one can't help but wonder: did these puzzles truly offer any substantial educational value? Or were they just a clever way to keep us occupied? While word searches might masquerade as an active learning technique, their contribution to genuine learning outcomes is arguably minimal. At first glance, they seem to engage students in a task that requires focus, pattern recognition, and vocabulary recall. However, the depth of cognitive engagement they offer is superficial. They don't necessarily challenge students to think critically, apply knowledge, or connect concepts in meaningful ways. Additionally, I recall an experience with a student teacher named Eric, who had planned a unit on ancient Greek culture. The main activity had students creating Grecian urns using papier-mâché. While it was fun, it didn't align with the intended learning outcomes. See also, this blog, https://lnkd.in/gGAZ9QYZ I have also seen this in virtual world experiences.  For example, recently I used a blaster to shoot numbers to learn my multiplication facts and teleported through an intricate maze as part of an elaborate scavenger hunt for meaningless facts.  The visual and kinesthetic elements of such activities could be seen as a departure from traditional rote memorization. However, from an instructional design standpoint, this method still falls short of true active learning. Here's why: -Surface-level Engagement: Shooting at numbers might engage the learner's motor skills and provide immediate feedback, but it doesn't necessarily engage higher-order cognitive skills. -Lack of Contextual Relevance: Active learning emphasizes the importance of context. Learning times tables by shooting numbers lacks a real-world context or relevance. Without understanding the practical application or significance of multiplication, the learner might not grasp the underlying concept or its importance. True active learning goes beyond mere participation in a task. It emphasizes deep engagement, where students are not just passive recipients of information but are actively involved in constructing knowledge. This can be achieved through strategies like problem-based learning, where students tackle real-world problems; and reflective practices, where they introspect on their learning journey. These methods require students to analyze, synthesize, and evaluate information, fostering a deeper understanding of the subject matter. In contrast to the fleeting satisfaction of finding a word on a grid or shooting a number in the air.

What is the difference between WiFi University and other online learning platforms? From AI results WiFi University is an online learning platform that claims to teach students how to make money through various high-income skills, such as digital dropshipping, AI-powered online business, social media marketing, and more¹. Some of the differences between WiFi University and other online learning platforms are: - WiFi University is not accredited or recognized by any official educational institution or authority, unlike platforms such as edX, Coursera, and FutureLearn, which offer courses, certificate programs, and even master's degrees from top universities. - WiFi University focuses on practical skills that can generate income online, rather than academic or creative skills that can enrich one's knowledge or passion, unlike platforms such as MasterClass, Skillshare, and CreativeLive, which offer classes in arts, crafts, music, writing, and more. - WiFi University charges a high fee for lifetime access or monthly subscription, and offers a limited-time discount for the first 100 students who enroll, unlike platforms such as Khan Academy, edX, and Coursera, which offer many courses that can be audited for free, or platforms such as Skillshare and LinkedIn Learning, which offer free trials or low-cost plans . - WiFi University relies on self-paced and self-directed learning, and does not provide much support or feedback to the students, unlike platforms such as Udemy, Udacity, and Codecademy, which offer interactive lessons, quizzes, projects, and mentorship . Therefore, WiFi University is a very different online learning platform from others, and it may not suit everyone's needs, goals, or preferences. You should do your own research and due diligence before enrolling in WiFi University, and weigh the pros and cons carefully. You should also consult with your parents, teachers, or counselors if you have any doubts or questions. WiFi University may be a good option for some students who want to learn new skills and make money online, but it is not a substitute for a formal education or a reliable career path. Link for WiFi university 👇👇👇 https://lnkd.in/gnwegTWz https://bit.ly/48xDSEh

The days of generic online courses are numbered. You’re competing against AI, where training and coaching is personalised. Instead of taking your course, I can tell ChatGPT my exact problem and get an on-demand solution tailored for me. But the one thing ChatGPT can’t replace is your human touch. So, if you’re a course creator, how can you compete against AI? Here’s how the most successful creators on StoryPrompt are doing it: 1. Accept students into your course in cohorts Create a 12-week course that kicks off at the start of each quarter. Accept a fixed number of students to create scarcity and drive urgency. 2. Segment your course material as much as possible Create courses for different skill levels and needs. Survey students before they join your course and stream them accordingly. 3. Build a community alongside your course Invite each cohort into a community. Give them a place to network with other students as they learn together. 4. Create a forum for students to ask questions Split your course material into 12 weekly modules and create a forum or channel for students to ask questions. 5. Provide 1:1 or group coaching with every module Host a live or asynchronous coaching session for each week of the course where students can come to you for help. 6. Collect feedback at the end of each module Ask students for feedback as they progress through the course. Use their input to adapt your upcoming course material as they go. Personalisation is the future. But with the advancement of AI, as a creator, personalisation is not enough. You need to humanise your content. And the more human and personalised your content is, the more sustainable your creator business will be.

From Teacher to Online Learning Specialist! Dear Educators, As the landscape of education evolves, a significant shift is taking place, propelled by AI: the transformation from traditional teaching to becoming an Online Learning Specialist. This change, once optional, has now become an integral part of our profession. Here’s why it’s important and how you can make this transition effectively. Why This Transformation? - AI Integration: AI technologies are reshaping how students learn, making online learning more interactive and personalized. - Global Reach: Online education breaks geographical barriers, allowing educators to reach and impact a wider student base. - Future of Learning: Digital literacy is no longer just a skill but a necessity. The future of education is intertwined with technology. The Current Landscape - Increased Demand: The demand for online learning has skyrocketed, accelerated by global events and technological advancements. - Skill Gap: There is a growing need for educators who are not just subject matter experts but also adept in online teaching methodologies. Repurposing Your Teaching Skills 1. Leverage Your Pedagogy: Your teaching experience is invaluable. Adapt your lesson planning and delivery to suit online platforms. 2. Tech-Savvy Approach: Embrace educational technologies. Familiarize yourself with online learning platforms, AI tools, and digital assessment methods. 3. Interactive Content Creation: Develop skills in creating engaging and interactive online content, utilizing multimedia and AI-driven tools. 4. Personalized Learning: Use AI to offer personalized learning experiences, understand student data, and adapt teaching methods accordingly. 5. Continuous Learning: Stay updated with the latest in educational technology and AI trends to remain relevant and effective. Professional Guidance Embarking on this journey might feel overwhelming, but you’re not alone. At Profielsketch, we provide support and guidance for educators transitioning into Online Learning Specialists. We understand the challenges and are here to help you navigate this new terrain. Embracing the Inevitable Shift This transformation is not just about staying relevant; it's about leading the charge in the evolution of education. It's about enriching your teaching journey with technology, reaching students in once unimaginable ways, and shaping the future of learning. Stay connected as we continue to explore and provide resources for this crucial transition. Together, let's embrace this change and redefine the boundaries of education. #EducationTransformation #OnlineLearning #TeachingInAIera #EducationalTechnology #DigitalLiteracy #profilesketch

How can taking notes help you learn better? Think about how you learn - whether it's for school, onboarding at your new company, LinkedIn learning course, or you just want to remember what's in the new book you're reading. Do you take notes? If yes, you're one step closer to better memorising and retrieving what you learn. In the world of learning and productivity, the way you take notes can be a game-changer. Let's dive into the difference between the linear and non-linear approaches to note-taking! 📈 Linear Note-Taking When you think of traditional note-taking, this is likely what comes to mind. It involves jotting down information sequentially, just as it's presented. It's like transcribing a conversation word for word. While linear notes are straightforward and organized, they can sometimes feel like reading a script, which might hinder deep understanding. 🌀 Non-Linear Note-Taking Non-linear notes, on the other hand, are all about capturing the essence of information. Instead of following a strict sequence, you create a web of interconnected ideas. Think of it as creating your own mind map. This approach encourages active engagement, as you're summarizing and interpreting concepts in your own words. It's like turning information into a dynamic puzzle! 🧠 Why Does it Matter? The non-linear approach goes beyond memorisation; it fosters comprehension and creativity. It encourages you to think critically, make connections, and truly understand the material. Linear notes are excellent for quick reference, while non-linear notes are your secret weapon for deep learning. So, which approach suits your learning style? Perhaps it's a blend of both! Experiment, find what clicks, and watch your note-taking skills elevate your learning journey. #learning #learningstrategies #tipsforlearning If you want to find out more, click here: https://lnkd.in/dDfKXPU5

🌟 Learn the Art of Systematic Reviews and Meta-Analysis with Our New Online Course! 📚 Are you interested in gaining expertise in systematic reviews and meta-analysis, the cornerstone of evidence synthesis in the social sciences? Look no further! We are thrilled to introduce the "Systematic Reviews and Meta-Analysis: A Campbell Collaboration Online Course." 🔍 What's Covered: This self-paced, asynchronous course comprehensively covers the entire systematic review process, from problem formulation to meta-analysis. It was originally designed with Campbell researchers in mind but is suitable for anyone keen on mastering rigorous review methods for the social sciences. 🤝 Collaboration with Open Learning Initiative: Developed in collaboration with the Open Learning Initiative, this course guides you through every step involved in conducting a systematic review of results from multiple quantitative studies. These steps include problem formulation, literature search, study screening, coding, critical appraisal, result synthesis using meta-analysis, reporting, dissemination, and data updating or re-analysis. 🗣️ Insights from Lead Editors: "When used together, systematic review methods and meta-analysis can produce comprehensive, accurate, and useful summaries of empirical evidence to answer questions relevant for policy, practice, and future research," says lead editor Jeff Valentine. "They can also uncover previously undetected patterns of results across multiple studies, leading to new discoveries." 🌐 Open Learning Platform: The collaboration with the Open Learning Initiative at Carnegie Mellon University allowed us to create an engaging learning experience. This platform provides valuable feedback to instructors and course developers to continually enhance the material. 📚 Foundation for Global Capacity Building: Our aim is to build global capacity in producing rigorous, relevant, and reliable Campbell systematic reviews. This course provides a strong foundation for achieving that goal. 📝 About the Editors: The course is co-edited and co-authored by distinguished experts in the field, including Jeff Valentine, Julia Littell, Sarah Young, Terri Pigott, Zahra Premji, and Mark Engelbert. Their collective knowledge and experience ensure the highest quality content. 🎓 Who Can Benefit: Whether you're a graduate student, researcher, or an independent learner, this course can be used as a textbook replacement for a graduate course in systematic reviews and meta-analysis, or as a stand-alone introductory text. Join us on this exciting journey of knowledge and skill acquisition! Let's empower ourselves with the tools to conduct impactful systematic reviews and meta-analyses. 📊📖 #SystematicReviews #MetaAnalysis #EvidenceSynthesis #OnlineCourse #CampbellCollaboration #SocialSciences #LearningOpportunity