Can generative AI generate lessons?
Ashwani Patel
Senior- Cloud Consultant @E2E Networks- NVIDIA Partners | AI hyperscaler | Migrate to E2E Cloud and save upto 50% Best performance to price ratio and zero unpredictable billing
Can Generative AI enhance?learning??
Gamification techniques are evolving rapidly. Gamification is now accepted as a productive yet effortless?learning strategy. Gamification techniques are used by edutech companies to create interesting learning experiences. Integration of gaming?elements such as?point systems, leaderboards, badges, or others?captures our attention to create a simplified learning experience which allows the learners to proceed at their own pace. Such pre-designed?game characteristics and principles inherent the learning potential within?themselves. For example, an economics?student might compete in a virtual stock trading competition or an English major student might compete in a virtual spellathon. . Gamification promotes experiential?learning by giving enthusiastic gamers or individuals an adrenaline rush which sustains their attention span.?
Technology has significantly shifted the way individuals encode, decode and store vital information . Due to this digitized educational system and technological trends, EdTech businesses are now focusing on bringing out the best ways to engage students and make the learning experience interactive and interesting. The?Edtech sector?is getting widely affected by generative artificial intelligence and this is something we covered in one of our articles. Many Educational institutions are adopting gamification techniques across the world to enhance participation levels among students. A study from Blueweave consulting shows that gamification in the education market is projected to reach USD 4144.97 Million by 2027!?
Gamification is proven to increase learner’s?engagement. The gaming GPU market is expected to grow at 14.1% CAGR during the forecast period of 2021-2026. The rising trend of gamification among millennials has led to the increasing adoption of a virtual world for gamers over the traditional learning mechanism. Gaming machines have also evolved from powerful location-based machines found in restaurants, arcades to in-home machines in the form of gaming consoles such as PlayStation and then we also have PCs, specially designed for gaming
As Moore’s Law drove down chip prices and increased performance, people bought more gaming machines for the home, which has a positive price-elasticity effect at the expense of the location-based gaming machines. As gaming machines’ sales have increased in the last few years, the demand for gaming GPUs has grown significantly .?
Gamification from a user’s perspective is the usage of gaming mechanics in a non-gaming context. Gaming mechanics include elements like in-game avatars, progress bars, points, leaderboards and badges. These mechanics are pretty much the only similarity between games and gamification.?
Game Mechanics:
Although gamification uses game mechanics, throwing a point earning system and leaderboards at your users is not effective gamification. The top priority when designing a gamified solution is the goals of the learner. This is a learner-centric mindset. In order for gamification to be victorious, we must find the intersection between the user goals and business goals. The concept of gamification is not new, In fact instructional designers have been using this technique to motivate students for several years. Throughout its use in the classroom, gamification has been quite successful.?
However, gamification isn’t just for engaging students to learn their multiplication tables, this technique is also getting all the hype in industries like manufacturing, military, finance, retail etc. We can implement gamification to engage employees into complete compliance training, drive competition in military exercises or engage users to stay on track with a fitness program. When implemented thoughtfully, gamification can do wonders in increasing user engagement and improve user experience.?
Educational Institutions Supporting Generative AI and vice-versa:?
You can refer to the below paper with code for a framework?for estimating generative models via an adversarial process, in which we simultaneously train two models: a generative model G that captures the data distribution, and a discriminative model D that estimates the probability that a sample came from the training data rather than G. The training procedure for G is to maximize the probability of D making a mistake. This framework corresponds to a minimax two-player game. In the space of arbitrary functions G and D, a unique solution exists, with G recovering the training data distribution and D equal to 1/2 everywhere. In the case where G and D are defined by multilayer perceptrons, the entire system can be trained with backpropagation. :?
Papers with code:?https://github.com/goodfeli/adversarial
Papers with code:?https://github.com/labmlai/annotated_deep_learning_paper_implementations
Looking for Cloud GPUs for improving learning outcomes, You can connect with E2E Cloud, India’s fastest growing AI accelerated platform for high-performance cloud infrastructure:?
Register for Free trial - bit.ly/3HAhxcJ
9761754443