AI in Education

AI in Education Make Money Online Queries? Struggling To Get Traffic To Your Blog? Sign Up On (HBB) Forum Now!AI in EducationUpdated On 19/02/2020Author : HBB Guest AuthorTopic : TechnologyShort URL : https://hbb.me/2r2sCzY CONNECT WITH HBB ON SOCIAL MEDIA Follow @HellBoundBlogArtificialIntelligence is making an impactinalmost everyindustry imaginable; theeducationindustry is no different. Anindustry that has followed a consistent method since centuries has recently seen some evolutioninterms of use of technology to makeeducationavailable to masses using online resources and other gadgets. However, there is still a lot that needs to be addressed to makeeducationmore accessible and digestible for everyone. Here is whereAIcan make an impact.AIis poised to transform modern societyinprofound ways. By leveraging the best attributes of machines and teachers, the adoption ofAIineducationwill bring great outcome for students.The state ofAIinEducationAIis already being usedineducationfor a wide range of t asks thatinclude, but are not limited to, creation of personalized content, automatic grading and feedback, and designing of courses that are comprehensible. Majorindustry players like Elemental Path and Volley Labs have alreadyinfused the power ofAIinto their teaching programs. There are several companies, such asContent TechnologiesandCarnegie Learning, currently developingintelligentinstruction design and digital platforms that useAIto provide learning, testing and feedback to students that gives them the challenges they are ready for, identifies gapsinknowledge, and redirects to new topics when appropriate.Other examplesinclude Cram101 which usesAIto make textbook contents more lucid and easier to navigate with summaries of the chapters, flashcards, and practical tests. It’s also being used toaid studentsinperforming their tasks. For example,IBM’s WatsonAnalytics is able to answer natural language questions aboutinfoincludedinitsdatabase, while Googles G Suite forEducationap p usesnatural language processingto write complex formulas at the request of students and teachers. Moreover, it alsoincludes tools that assistinmaking content more reachable. Tools such asPresentation Translator, a free plug-infor PowerPoint, creates subtitlesinreal time for what the teacher is saying.Trends of AI in EducationAmongst the numerous rolesAI’s playinginshapingeducation, the top trend I find is automation of administrative tasks. Checking homework, grading papers, looking through illness records and absence sheets, and preparing report cards are just some examples of the tasks where educators spend most of their time â€" tasks that anAIcan perform with almost no errorsinjust a few minutes. Educators spend a lot of their valuable time on these tedious tasks. Firms are now offering AI in education solutions that can automate these and many other admin tasks. This leaves teachers with more time to plan lessons and conduct one-on-oneinteractions with students. Moreover, p rofessors will have more time with their students rather than spending long hours grading them.AIis alsoinstitutions to minimize the time required to complete difficult tasks such processing of paperwork.InChina, semi-sentient robots are already being used to automate the grading process, reducing the workload for teachers. Their smart artificial minds can understand the general logic and meaning of an essay andgenerate an almost human-like judgmentabout its quality. At least 60,000 schools have already implemented them with reportedly great outcomes. WhileAImay not ever be able to truly replace human grading, it’s getting close.Challenges ofAIAdoptioninEducationA lot of effort is being putintoinfusingAIwitheducationand to make thisinfusion resourceful for bothinstructors and students, however, like other new technologies, its adoption won’t be simple. One of the biggest challenges to adoptAIis preparing teachers forAI-powerededucationand preparingAIto understandeducation. Teach ing and learning requirements may be substantially re-ordered and the dynamics of learning versus teachinginanAI-based system ofeducationwill be very different. This will surge requirements for modified teaching degrees and certificatesinthis new environment. Given the eventual widespread use ofAIinthe classroom, teacher training is therefore a critical aspect. To be able to useAI-enabled technologies effectively, teachers will also need assimilate new competencies, clear understanding of howAI-enabled systems can facilitate learning and possess research and data analytical skills, so that they caninterpret data provided byAI-enabled systems. Teachers can gain these skills at a data science bootcamp or other available courses. Furthermore, forAIto understandeducationsystems requires real-time data processingin theform of real-time feedback, quickerinterventions, andindividualizedinstruction by teachers. These are the challenges that will be faced early on and need to be tackled.READ Turkey Banned Video Sharing Website Vimeo?Benefits of AI in EducationForeducational content to be accessible and clear for students, learning content must be customized for each student. Students come from different backgrounds and possess different set of skills and abilities. A single type of unified content won’t be effective. Withthe introduction ofAI, teachers can perform much better by offering personalized recommendations to each pupil.AIcustomizesin-class assignments as well as final exams, ensuring that students get the best possible assistance. ThroughAI-powered apps, students get targeted and customized responses from their teachers. Over the course of a student’seducational career, they output an enormous amount of datainthe form of papers, exams, and classroom participation that rarely carries over to the next term. With these new tools, however, student data can be stored an analyzed over time to see what material they engage with more successfully and whateducatio nal deficits they may have hiddenintheir past work that might beinhibiting their future potential.AIhas also helped digitizetextbooks and create customizable smart content for students of all age ranges, helping them with memorizing and learning. One example isD2L, the maker of BrightspaceInsights, a suite of analytical tools for educators. Brightspace captures, aggregates, and analyzes data streamed from several different sources,including learning apps, online resources, publishers, and other learning management systems to build a complete model ofindividual student learning behavior. Over time, this can teach the teacher exactly what a student needs to succeed.The future ofAIineducationThe student of the future will be getting an  AI-based  educational experience where they will be exposed to an immersive, digital  education  heretofore unimaginable.  AI  will change where students learn, who teaches them, and how they acquire basic skills. It has the potential to radically chang e just about everything.  Educational programs powered by  AI  are already helping students to learn basic skills, but as these programs grow and as developers learn more, they will likely offer students a much wider range of services. On the other hand, as  AI  gets more sophisticated, it might offer services that were never thought of before, such as reading a students expression that  indicates they are struggling to grasp a subject and modifying the lesson to respond to that. While there are things that human tutors can offer that machines can’t, the future could see more students being tutored by digital tutors. Some of these programs  already exist and teach students fundamental content, but aren’t ideal for helping students learn complex concepts, something that real-world teachers can do. Yet that shouldn’t rule out the possibility of  AI  tutors being able to do these things  in  the future. With the speedy pace of technological progression, advanced tutoring systems may not be a dream.Rahim Rasool  is an Associate Data Scientist at Data Science Dojo (DSD) where he helps create learning material for DSD’s  data science bootcamp. He holds a bachelor’s in electrical engineering. He possesses great interest in machine learning, astronomy and history.