The Rising Demand of AI in Edtech

Education has been one of the most underserved segments that has been recently lifted with the help of technology. While Big Data and Machine Learning were trending in 2019 in the education space, the spread of the COVID-19 pandemic acted as a significant catalyst and has fast-tracked the adoption of technology in the teach and learn sector. A lot has been implemented and has gained acceptance by students due to mandated adaptation of distance learning. 

 Bridging the Gap

With many schools planning to reopen, 2022 shall focus on the hybrid way of learning, using the best technology and physical teaching. Artificial intelligence is being looked at to fill gaps in learning and teaching as well as to personalize and streamline education. For achieving the same, collecting data from billions of users is vital. It is already underway with students interacting with the Internet of Things (IoT) devices and other digital tools through which data is being collected. This big data is analyzed to reach inferences to personalized learning, determining interventions, and practical tools. The extended reality, including virtual, augmented, and mixed realities, is instrumental in engaging students and creating learning opportunities. 

Learning by Doing

A lesson about any country and its history can be highly gripping after putting on a VR headset and witnessing a virtual version of the time. Students can also use such technology to understand the current scenarios first-hand. This is because technology is now enabling learning by doing. 

 Blurring the Line Between Humans and Machines

Chatbots are looked at for delivering lectures and engaging students in learning. The datasets are being used to train natural language processing algorithms that are continuing to grow. The advent of deep understanding and semi-supervised machine learning models such as reinforcement learning makes the line between humans and machines harder to distinguish. The algorithms that attempt to match our speech patterns and infer meaning from our human language are day by day continuing to perfect. With the infusion of such technology into the chatbots to make the learning process engaging for students and reduce the workload from educators, it is expected that such technology moving forward is out to grow.

Ease of Interaction and Interpretations 

Many schools are using AI tools to assist in inferences and reduce administrative tasks. While face recognition is being used in schools to take attendance, data analytics from information collected through students’ interaction with technology is being used to inform teachers on learning decisions without analyzing such data. 

Many tests have been successfully carried out for the implementation of AI-based auto proctoring to invigilate online exams. Such technology is believed to restrict cheating while conducting online exams without any physical invigilation process. While facial recognition is used to assist in identifying the student taking the exam, webcams and microphones enable ease of remote proctoring by using video and audio to watch the candidate during the exam and detect the slightest sound coming from the candidate’s background with the help of microphones. Also, complex facial recognition features are used to detect any suspicious object or movements by the candidates during the exam.

EduplusCampus brings an array of online solutions to revolutionize the teaching-learning process and manage educational institutions of all sizes. One of its products, EasyPariksha, is a robust AI-based online proctoring exam tool that helps educational institutes design, schedule, and delivers assessments online seamlessly. To know more about this Intelligent Exam Proctoring System, log on to www.edupluscampus.com.