Machine Learning For eLearning: 5 Ways It Helps

Machine Learning And eLearning

Artificial Intelligence (AI) and machine learning are gradually enhancing human behavior. They are slowly making a space for themselves in our lives. Their invention and discovery cannot be ignored, as it has now been shown that they have valuable significance in human life. They have impacted the learning venture, especially in the online domain. Machine learning is also adopted by many small and big businesses. The stats show that the global machine learning market is expected to grow at 42.08% CAGR from 2014 to 2024.

Many people may think that they have not come across the use of machine learning, but whenever you use a food delivery or cab-hailing app you are given an estimated time and fare. This is what machine learning does. Machine learning is a branch of Artificial Intelligence, where a computer has the access to data. Since the COVID-19 pandemic, many educational institutes have moved to online learning or hybrid models. Just like other domains, machine learning is also applied in eLearning.

5 Ways Of Machine Learning Application In eLearning

1. Advanced Analytics

When it is time for teachers to grade their students, it is a difficult job to assign marks to their students. Assessments by employees or teachers have time limitations and do not offer any insight into patterns. In a system using machine learning, huge amounts of data can be processed and insights into patterns and trends can be revealed.

Machine learning allows the teacher or instructor to learn more deeply about the performance of a student. They receive information about the learning patterns of a student, their strengths, weaknesses, or any other related issue. This plays a vital role in taking action to help the learner continue on the course plan.

2. Chatbot Q&A

Learners may have problems. You may want to answer the questions of the students. AI-powered chatbots are an exclusive and popular tool to address queries or problems. Now students do not have to worry about interrupting in between sessions. The always operational chatbots can help deliver a swift answer.

The machine learning chatbots allow you to be in the loop and get guided answers. Chatbots can be compared to other machine learning equipment, but they are not restricted to only answering questions. AI-integrated chatbots give students the leverage to ask questions at every step. The virtual instructors are never tired of answering questions.

3. Increases Sense of Learning

Machine and online learning enhance the learning power of students. Machine learning has added personalized learning, thus many students can learn with more engagement. It elevates the motivation among students and their engagement.

Students can choose the subject that suits them. A student can learn what they want and pursue a better career because of this. In other aspects where machine learning enhances the eLearning experience, it can also help in solving complex problems. For instance, machine learning can collect the data and help you in making a Wikipedia page.

4. Returns With Immediate Feedback

Tutors or teachers are sometimes burdened with tasks and deadlines. They may be delayed with their work and students frustrated by the delayed feedback. This results in delays and tasks get piled up.

Machine learning can help in taking away this burden from teachers or tutors. They provide the student with instant feedback and provide the momentum to keep everything on track.

5. Multiple Assessment Formats

Multiple-choice questions are an easy way to achieve grades. Most teachers now prefer to use them in their teaching. With machine learning, they have become even easier to tackle. Machine learning allows the presentation of questions in multiple formats, including as a long answer question or an essay. The machine uses multiple algorithms to calculate the score of the students.

There are now tools available that help in evaluating essays. They evaluate the significance and depth of an essay. Machine learning also integrates quizzes to check up on the knowledge of a learner. In time, there will be more advancements. Swifter processing for quizzes and multiple-choice questions is expected.

The Efficient World Of Machine Learning

As the world has now become highly digitalized, machine learning is a great addition to it. AI has brought a tremendous change in the perspective of running things. Machine learning is effective for education as it runs at a swift pace. It can be used to focus on Instructional Design and other activities to engage more people.

Machine learning is quickly making its way into education. You don’t have to look after each project and invest hours in it. Machine learning does not require any human intervention and is a fully automated system. It keeps updating and with the help of algorithms it extracts more accurate results.

Types Of Machine Learning

1. Unsupervised Learning

The algorithms in unsupervised learning are trained on unlabeled data. They search and look for data that is useful to them. The data that comes out of it is predetermined.

2. Supervised Learning

In this category of machine learning, the algorithms are supplied with labeled training data. The variables are also defined for correlation. The algorithm’s output and input are specified.

3. Semi-Supervised Learning

In this, data scientists usually mix the two above types and let the data develop its own understanding. The data is labeled under training data and the algorithm is free to explore.

Conclusion

This premium invention, machine learning, is a cherry on top for many functions, especially in eLearning. It has largely taken over the learning process. There cannot be anything that can replace human efforts, but machine learning has made it easier for humans to work freely and productively. The development of machine learning has been phenomenal and is a great addition to improving the online experience.

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