#Active learning

[bienditt]

-- study tips!

this'll be a bit of a longer post. during my time working at my learning center, we were taught to help students implement these strategies to have more effective study sessions. below the cut i explain all of them in a little bit more detail so hopefully you all will be able to try some of them out as the school year takes off!

music

how easy is it to remember the lyrics to a catchy song you hear all the time on the radio? even if it's not a song you particularly like, the chorus can wiggle its way into your memory. try transforming the concept you're learning into the lyrics to a song you already know.

visualization

everything happens twice: once in your mind and once in reality. try to visualize the concepts you're learning.

metaphor, analogy, simile

this method can be used to connect the unfamiliar with the familiar. (blank) is like (blank).

reciprocal teaching

this method is my favorite. grab a classmate, friend, family member (anyone that will listen really) and explain the concepts you're learning to them. encourage them to ask you questions to get yourself doing some critical thinking. we remember 90% of what we teach to someone else.

roleplay

motivate yourself to more actively participate in your learning. put yourself in the shoes of your professor and make practice tests, or in the mind of whoever discovered the concepts you're learning.

writing

we remember what we write much more than things that we simply read or even type. writing connects the brain and the body.

story telling

it is easy for the brain to remember stories with a beginning, middle, and end. this method works great for concepts that are processes. turn your concept into a little story.

mnemonic devices

mnemonic devices include acronyms and acrostics. these are great for remembering lists.

visuals

there's a reason textbooks these days have so many pictures! images help the brain remember and connect new information with something you may have seen before.

movement

motion connects the brain and the body. make easy to remember motions to go along with the concepts you're learning.

graphic organizers

graphic organizers are another one of my favorite study methods. mind mapping helps to better organize the concepts you're learning and makes it easier to connect key points.

drawing

drawing and making diagrams helps to further visualize and organize information.

games

games help lower stress and increase retention. things like kahoots, quizlet live, matching games (etc.) can help you enjoy studying a little more.

projects

project based learning is a very active learning strategy. think of things like science fair projects. when professors assign projects try your best to put your all into it.

field trips

field trips are another way to lower stress and increase retention. visiting museums dedicated to what you're learning is a great way to boost your interest and morale.

work study

getting more intimately involved in your field of study greatly increases your critical thinking skills surrounding it. for many fields this looks like getting involved in research, TA'ing, or becoming a tutor.

humor

what's more memorable than a good joke?

discussion

this method is a lot like reciprocal teaching. find a classmate, or someone else how has about the same level of understanding and talk about the concepts you're leaning.

manipulatives

there's a strong connection between what our hands hold and brains comprehend. manipulatives includes anything that can be touched and handled, like science models or interactive kits.

technology

using technology can look like a million different things, such as using apps to facilitate learning (like quizlet or duolingo).

i hope someone can find even one of these things useful as they continue with their academic journey. feel free to leave me any questions comments or concerns!

[richardtheteacher]

10 Tips to Help High School Students Achieve High Performance

An article by Richard James Rogers (Award-Winning Author of The Quick Guide to Classroom Management and The Power of Praise: Empowering Students Through Positive Feedback). This blog post is illustrated by Pop Sutthiya Lertyongphati. Success in high school is not just about hard work: it’s about working smart, using proven strategies that boost learning, memory, and motivation. Here are 10…

[frank-olivier]

Bayesian Active Exploration: A New Frontier in Artificial Intelligence

The field of artificial intelligence has seen tremendous growth and advancements in recent years, with various techniques and paradigms emerging to tackle complex problems in the field of machine learning, computer vision, and natural language processing. Two of these concepts that have attracted a lot of attention are active inference and Bayesian mechanics. Although both techniques have been researched separately, their synergy has the potential to revolutionize AI by creating more efficient, accurate, and effective systems.

Traditional machine learning algorithms rely on a passive approach, where the system receives data and updates its parameters without actively influencing the data collection process. However, this approach can have limitations, especially in complex and dynamic environments. Active interference, on the other hand, allows AI systems to take an active role in selecting the most informative data points or actions to collect more relevant information. In this way, active inference allows systems to adapt to changing environments, reducing the need for labeled data and improving the efficiency of learning and decision-making.

One of the first milestones in active inference was the development of the "query by committee" algorithm by Freund et al. in 1997. This algorithm used a committee of models to determine the most meaningful data points to capture, laying the foundation for future active learning techniques. Another important milestone was the introduction of "uncertainty sampling" by Lewis and Gale in 1994, which selected data points with the highest uncertainty or ambiguity to capture more information.

Bayesian mechanics, on the other hand, provides a probabilistic framework for reasoning and decision-making under uncertainty. By modeling complex systems using probability distributions, Bayesian mechanics enables AI systems to quantify uncertainty and ambiguity, thereby making more informed decisions when faced with incomplete or noisy data. Bayesian inference, the process of updating the prior distribution using new data, is a powerful tool for learning and decision-making.

One of the first milestones in Bayesian mechanics was the development of Bayes' theorem by Thomas Bayes in 1763. This theorem provided a mathematical framework for updating the probability of a hypothesis based on new evidence. Another important milestone was the introduction of Bayesian networks by Pearl in 1988, which provided a structured approach to modeling complex systems using probability distributions.

While active inference and Bayesian mechanics each have their strengths, combining them has the potential to create a new generation of AI systems that can actively collect informative data and update their probabilistic models to make more informed decisions. The combination of active inference and Bayesian mechanics has numerous applications in AI, including robotics, computer vision, and natural language processing. In robotics, for example, active inference can be used to actively explore the environment, collect more informative data, and improve navigation and decision-making. In computer vision, active inference can be used to actively select the most informative images or viewpoints, improving object recognition or scene understanding.

Timeline:

1763: Bayes' theorem

1988: Bayesian networks

1994: Uncertainty Sampling

1997: Query by Committee algorithm

2017: Deep Bayesian Active Learning

2019: Bayesian Active Exploration

2020: Active Bayesian Inference for Deep Learning

2020: Bayesian Active Learning for Computer Vision

The synergy of active inference and Bayesian mechanics is expected to play a crucial role in shaping the next generation of AI systems. Some possible future developments in this area include:

- Combining active inference and Bayesian mechanics with other AI techniques, such as reinforcement learning and transfer learning, to create more powerful and flexible AI systems.

- Applying the synergy of active inference and Bayesian mechanics to new areas, such as healthcare, finance, and education, to improve decision-making and outcomes.

- Developing new algorithms and techniques that integrate active inference and Bayesian mechanics, such as Bayesian active learning for deep learning and Bayesian active exploration for robotics.

Dr. Sanjeev Namjosh: The Hidden Math Behind All Living Systems - On Active Inference, the Free Energy Principle, and Bayesian Mechanics (Machine Learning Street Talk, October 2024)

Saturday, October 26, 2024

[indiadiries]

Enhancing Study Concentration: Techniques for Academic Success

Introduction:In today’s fast-paced world, maintaining focus and concentration while studying can be a challenging task. However, the ability to concentrate is essential for effective learning and achieving academic success. This article aims to provide valuable techniques and strategies that can help individuals enhance their study concentration. Create a conducive study environment:Establishing…

[tntra]

Building a Capability‑Driven Innovation Engine with Active Learning

This article breaks down the journey from creative ideation to operational excellence. Active learning fosters structured experimentation, rapid iteration, and cross-functional collaboration. By turning insights into skillful deployment, companies can embed new capabilities—whether in AI, process automation, or customer experience—into everyday operations. See how to create a sustainable innovation loop.

[newsepick]

Why do we Still Treat Subjects Like a Status Symbol “Science, Commerce, Arts” Why do we still treat these as a hierarchy instead of choices? Too often, students are labeled by the subjects they pick: 🔹 Science? “You must be smart.” 🔹 Commerce? “That’s... practical.” 🔹 Arts? “Didn’t do well in school?” But education isn’t a scoreboard. It’s a journey of discovery, curiosity, and purpose. ✨ Every subject has value. ✨ Every stream has thinkers, creators, and leaders. ✨ Every child deserves the chance to choose what feels right for them not what sounds impressive to others. At Newsepick, we’re building a space where learning goes beyond the syllabus and subjects into real-world exposure, critical thinking, and self-discovery. Where children can explore who they are before being told what they should be. Because the future isn’t shaped by the stream they pick It’s shaped by the passion they bring to it. 💬 What do you think we can do as educators, parents, and mentors to help children choose without fear? For more details ��� +91 9903999574 📧 support@newsepick.com 🌐 newsepick.com

[clearthemaze]

Are you truly listening as a leader? Active listening isn’t just a communication skill — it’s a leadership superpower. When your team feels heard, they feel valued. Discover 18 experience-based insights that can help you lead with trust, clarity, and connection.

[legacykidsacademy]

Young children learn best by doing. Hands-on activities help them explore, understand, and develop essential skills. Whether they’re stacking blocks, painting, or playing with sensory materials, active learning sets the foundation for future success.

[oregoncitychildcarellc]

Encouraging creativity in young children is essential for their development. That is why our childcare in Oregon City, Oregon provides structured playgroups where toddlers can explore, imagine, and create through engaging activities. These experiences allow children to think freely, solve problems, and express themselves, helping to build a strong foundation for future learning.

[bodyofbrilliance]

Mastering the Art of Rapid Skill Acquisition

[richardtheteacher]

Richard James Rogers, award-winning author and pedagogical expert, describes the process of interleaving. Rogers is the first person ever to describe generalisable rules for applying interleaving in the secondary classroom.

[nova-moon13]

[brightmindswhyteavedaycare]

Play-based learning is a fundamental part of early childhood education that helps children grow and develop through interactive, hands-on experiences. In a daycare in Edmonton, Canada, children have the chance to engage in activities that spark creativity, imagination, and problem-solving. This type of learning is essential because it allows children to explore new concepts and skills in a natural and enjoyable way, without the pressure of traditional academic settings.

[what-stheword]

Keep Learning

I weep with sorrow; encourage me by your word. (NLT) Psalm 119:28

This faith journey never ends. We are called to learn from our God, study his word, and take the counsel of others so we can keep growing until we breathe our last breath. Open your heart and ask him what he is wanting to teach you in this season.

[newsepick]

Collaborative Learning, A New Way of Digital Learning

Every classroom has its own mix of personalities. 📚 The Topper who always has the answers. 💪 The Hardworker who never gives up. 🌀 The Wanderer who’s still figuring things out. 🎤 The Talker who brings energy into the room. 🤫 The Quiet Thinker who surprises everyone with deep insight. Not everyone learns the same way. And that’s exactly why collaborative learning matters. When students learn together, they don’t just understand better, they build empathy, confidence, and curiosity. They teach. They listen. They grow. At Newsepick, we’re reimagining learning as a shared journey. A digital space where every student brings something valuable to the table. So tell us, Which one were you in class? Or maybe… a little bit of everything? 👇 Comment below and tag a classmate who shaped your learning journey. For more details 📞 +91 9903999574 📧 support@newsepick.com 🌐 newsepick.com