Tag: pedagogy

5 ways AI is used in modern education

Posted on by pankaj.harvard
Source: Pixelplex

In today’s world, Artificial Intelligence and Machine Learning are what drive innovation in various sectors. Earlier, AI and ML were seen as independent of the field of education. However, since the pandemic, most educators are of the opinion that technology is what should drive education. With education, of course, there is a more conservative playing field available to innovators as it can be a challenge to disrupt a field that relies so heavily on being standardized. 

But, innovation in education technology has boomed across the world and what schools and academia are relying on these days are all tools and instruments that have artificial intelligence at its core. Now that we have established that premise, let us see the 5 ways in which AI is used in education these days.

1. Personalised Learning –

This word has been flying around in the ed-tech space for quite some time now. What is it about personalised learning that drives the core of innovation in companies across the field? Well, to begin with, it is a competition to see how artificial intelligence can be used in its most potent form to create an experience that is wholly unique to every individual student using a digital learning platform. Companies have built frameworks not just to record the learning levels of students but it is also possible now to predict scores and the time taken by each student to answer a question!

2. The Power of Now – 

Everything driven by technology is powered to save time. That is the principle that most AI-based tools use to drive learning across the field. Students do not have to wait for three days to get a question answered. There are apps that can use AI to record a student’s aptitude based on which it gives them revision content and practices questions to take them to the next level. Students do not have to wait till an examination to see their learning gaps. They have a system that publishes information about it in a matter of seconds and students can use this to tutor themselves!

3. Diagnostic Tool –

Students need not wait months to understand and rectify their learning gaps. What they can do these days is download any AI-powered learning app like Class Saathi and do a couple of quizzes on it. Once a student starts responding to questions, the app makes notes to track their progress and identify their learning gaps. Once the test is over, the app will make recommendations on where the student needs to improve and what concepts they need to especially focus on to close the knowledge gap!

4. Key Automation Technology –

The recent shift to technology-based education has shown educators across the globe that it is important to move to this method to save time. What teachers lacked during the global pandemic was a reserve of time and they relied on digital resources to guide them through. Complicated and time-consuming things like report generation for each individual student can be compiled in seconds. What’s even better is that there are different ways in which teachers can automate their daily redundant tasks like attendance for that matter or even conducting pop quizzes with only a minute taken to create it.

5. 24×7 and 365 days – 

The thing about technology-based learning is that it has global access and it can be leveraged any place and at any time. The world of education is a smaller place because of technology and we must all be more thankful for it. Gone are the days students had to sit in libraries for long hours of research or tuition classes for revision. Everything that is to do with education is instant these days and AI has made that possible!

Are you as excited about Artificial Intelligence and Machine Learning? Download the Class Saathi app and let us know what you think about the different AI frameworks that govern the app!

Class Saathi’s Maths quiz challenges!

Posted on by pankaj.harvard
Photo by Pixabay from Pexels

It might seem like there is no fun way to learn Maths as a subject but you are wholly mistaken if you believe that. If there is a subject that can be extremely fun to learn, it is Maths and we at TagHive Inc. are here to show you all the different ways in which our app Class Saathi helps make learning fun and full of passion!

Class Saathi is an AI-powered quiz app for students through which they can practise their daily lessons, compete against an AI timer and also test their knowledge with the help of Mock Tests. There are so many different ways in which you can use the app, which makes it a super fun experience for children but it doesn’t stop with fun alone; a lot of intelligent frameworks surrounding the app make this learning experience a very scientific one. So let us take a look at Class Saathi’s offerings:

1. Class Saathi is an endless reserve of practice questions –

Students can use the Class Saathi app to practise their daily Maths lessons. The app is replete with CBSE / NCERT quizzes and it follows the same chapter sequencing as the textbooks do. Students can then use the app to test their proficiency in the concepts taught and if in the event that they do not get certain questions right, the app gives the student revision material in the form of concept notes and video explanations. They can also bookmark the questions they get wrong so that it all forms a reserve where students can see their progress.

2. Mock Tests –

Class Saathi Mock Tests are chapter & difficulty customisable!

Mock tests are a fun way to learn Maths as it creates an atmosphere of competition and students can challenge themselves to a mock test over the app. The mock tests come in two formats – a. A full mock test which is an hour-long and b. A half mock test which is 30 minutes long. Encourage your students to make the best use of these mock tests as it refines not just the knowledge base of the student but it also sharpens their competitive edge.

3. The AI Timer –

Class Saathi AI Timer is a perfect example of gamified learning. Give it a try!

The AI timer is a fairly new development with the app and web developers in South Korea have worked really hard to see this vision turn into reality. The app uses artificial intelligence in the form of a clock that students have to compete against but in the most unusual way. Based on the information the app has gathered about a student (student’s learning level, speed and knowledge), the timer recommends the amount of time a student may take to get an answer right. It also makes a calculated assumption as to whether or not the student will get a question right. If the student manages to answer the question in a time lower than the one the AI timer predicted, the student is rewarded. Same goes for the predicted answer as well!

Technology has advanced to such a degree that all it takes is a simple app to diagnose gaps in learning. What we also need to mention is that our app is fully AI-powered which means it goes out of its way to curate a personalized learning experience for students. The app can do this for each and every student even if there are 25 million students using the app (this is just a reference number, it can accommodate a lot more people!). 

Haven’t tested the app yourself? Go ahead and download it from the play store!

Learning Analytics in Class Saathi

Posted on by pankaj.harvard

The education sector has seen a lot of reformation in recent years. It is not unusual since it is one field where progressive values are incorporated and included without much doubt or hesitation. The education sector survived the pandemic and all the various turbulences it presented for this very reason. It is one area where change is welcomed and technological integration is crucial in welcoming these changes as well. One such instrument that is being very widely researched and incorporated into education these days is “Learning Analytics”. 

Let us understand what Learning Analytics is and how Class Saathi incorporates it into its system.

Photo by Mikhail Nilov from Pexels

Learning analytics is a mechanism that collects vital data to assess key areas of learning and reports on it to drive impactful reformations. The logical framework that governs learning analytics is nothing new. It has been around for decades. So now why is it gaining so much novel attention? The answer is simple, learning analytics makes use of artificial intelligence that uses data smartly in order to not just report findings but also suggest measures that can accurately predict future outcomes based on these numbers. This hastens the process of data collection, interpretation and analysis and also gives educators tangible outcomes to work on so that change can be driven in the most efficient and minutest ways.

This takes us to the next part of this article – what are the learning analytic tools that Class Saathi incorporates into its system?

Class Saathi prides itself on being an app that gives personalised learning recommendations for every student that uses this app. This may sound like a tall claim but it is one that is rightly justified by the system that our developers in South Korea have worked so hard to build. For the purpose of this report, we spoke to the people who creatively built this system and this is what they had to say:

Personalised learning is at the heart of Class Saathi’s operations and we built an app that benefits every student who uses it. For this purpose, our developers built a system with three main components:

A. Knowledge Level
Every response is recorded and analysed by a system based on areas such as difficulty level and skills. The app first records the comfortable learning level of the student and gives them questions based on the recorded level and pushes them to gradually move up.

B. Updated Difficulty Level
The difficulty level for each skill or question is assigned based on the number of students who get it right in the first attempt. If there are more students who get one question or skill right, then the question is deemed easy and difficult if it is vice versa. This keeps changing with improved student learning outcomes.

C. Solve Interval Data
This is the most revolutionary data tool that we use. What this does is record questions that a student gets wrong consistently and recommend quizzes to help them learn the concepts attached to these questions. The system does this for a while and then gives the student the same question to see if they have learnt the concept and moved up the levels of difficulty. This prepares students to reach higher order levels or learning without making it a difficult process.

As you can see, the logical framework that governs the app uses very complicated metrics and building that can only have been the product of genius minds. It is no easy task to standardise a product for students with globally varying learning levels. 

Having said all of this, we must also remember that learning analytics can not be 100% accurate because it is constantly evolving. It can however predict the most probable outcomes for maximum benefit and maximum reformation.

In the words of our developers, it is a great difficulty to match reality to the learning level that is recorded by the system because accurate reading can be interrupted by many variables. However, the idea is to perfect a system by recognising the gaps, much as we do for our students. The important thing is to keep striving for perfection so that these gaps will be completely eliminated from our system and we have outcomes that don’t get in the way of achieving a higher understanding of student behaviour and learning.