Education technology continues to evolve, thanks to cutting-edge inventions that are making learning more engaging and exciting. With gamification of classrooms and game-based learning now popular approaches in knowledge dispensation, including interactive digital whiteboards, there is also a growing interest among stakeholders who would wish to understand the creativity behind these creations. The truth is that the above examples are only but simplified forms of technology in schools. You may also want to think about integrated school management systems, which is equally making teaching seamless, but, when it comes to technology of the future, Artificial intelligence (AI) is the next big thing in virtually every sector.
This post explores the extent to which AI is applicable in schools today, and most importantly, how its presence in teaching-learning apps is making students understand lessons better. But, first things first, let’s explore ways in which it is being used to advance education agenda in different parts of the world.
Machine learning in content creation
Machine learning in education has been engineered towards realization of a more efficient grading, organization and scheduling. Take, for example, analytics tools that help provide information on a student’s progress over time based on a digital database.
There are also instances where AI, especially its core functionalities such as Deep Machine Learning (ML) is widely used in content analysis. By creating and organizing lecture videos/notes, book units and assessments into a programmable format, Edtech is getting a facelift, especially in the way student access learning materials digitally.
Advanced algorithms in lesson scheduling and data mining
Advanced algorithms, which is core AI functionality is also making teaching aspects such as lesson scheduling easy and more adaptable for students.
AI in cognitive psychology, research and knowledge retention
In cognitive psychology, data mining, an area that has a major boost since the advent of AI is also experiencing a facelift. Whether it is the development of new theories based on existing scientific proofs or improving the process of learning, artificial intelligence is a powerful validation tool that equally improves knowledge retention.
Personalized learning is now becoming a reality for most students who are already exposed to new Edtech Applications. By helping teachers determine the right learning pace for each student, content relevance, interest on specific subjects, and the best instructional approaches, AI in classroom is furthering the interest of learners through selecting need-based content. Here, other factors come to the fore, and they include adaptive, differentiated, individualized and competency-based learning.
Learning apps and AI: Are students learning with great ease?
Now, bearing in mind the above, there is no doubt that Artificial Intelligence is having a huge impact on education in many ways. It is also worth noting that academic-related web searches using phrases such as online assignment help now pull up target-specific results based on either predictive modeling (past searches) or Deep Machine Learning (ML).
Thus, whether you are Canadian students looking for a reliable assignment writing service via voice-based search (Google Assistant, Cortana or Siri), or typing manually into search engines, AI now makes your quest quicker, efficient and more reliable.
However, when it comes to in-App usage, especially those which are built for classroom lesson dispensation, AI and education further become intertwined into a single most-powerful learning experience of the 21st century. Here are a few examples:
Mika is a virtual tutor that adapts seamlessly to needs of students and also provides instant feedback to better everyone’s learning experience. It is not only a great AI-driven education app but also one that is cost effective.
2. Thinskter Math
We would all agree that core functionalities of AI borders on advanced mathematics such as algorithms. Thus, most of its lesson-oriented Apps are meant for teaching math. Thinskter Math is an application that promotes knowledge by tracking how students arrive at answers for different questions. It, therefore, goes ahead to suggest question-targeted feedback for a better approach, hence, a suitable learning application for those who would wish to improve in math.
Forget about smart homes, and focus on SmartEd, an application that customizes learning materials to suit the needs and styles of various students. It also features gamification tools, an instructional teaching approach that enhances real-time teacher-students collaboration while also making learning engaging.
While Brainly emphasizes socialization among students from different parts of the world, it is a useful AI-driven application built for learners who would wish to take their classroom lessons to another level through collaboration. It makes it possible for students to explore questions and develop concept-based answers, thus, an ideal assignment help tool. Today, more than 80 million students from over 35 countries have signed up with Brainly, and are accessing unlimited lessons.
Nothing would have made learning math easier than an app that recommends lessons based on a student’s potential. That is what you get with iTalk2Learn. It is a revolutionary application in-built with voice recognition.
6. Netex Learning
Netex Learning is a website that makes it possible for teachers to design curriculum material shareable across different digital platforms. From audio, video, self-assessment tests, lesson plans to learning analytics, Netex Learning is suitable for even less educated teachers and students.
The bottom line
Education technology continues to get a facelift, and now with artificial intelligence changing the way developers build apps for learners and teachers, it can only get better. Whether it is and education in Canada, America or United Kingdom, the ripple effect of these developments cannot be understated.