Modernization in every sector or industry suggests that digitization is the pinnacle of the use of technology, but that is not true, especially related to education and eLearning. It is just the start of the new and contemporary structure of the education system. A staggering 99.4% of higher learning intuitions in the United States reported that they are currently employing AI in one way or another and the role of AI in education in learning will continue growing as the world becomes increasingly digital.
It is expected that the AI education market will be over USD 20 billion by 2027 since it has an enormous number of advantages for learners and educators. In this blog, we are going to provide an overall understanding of how AI is revolutionizing education and different ways of how to use AI in schools.
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What is a Smart Classroom?
Now that we have had an introduction to the role of AI in education setting, we must have a brief understanding of what defines a Smart Classroom. Whenever there is an improvement of technological input in the teaching-learning process or there is an addition of a better form of teaching and learning, the term ‘Smart Classroom’ changes and comes with a new innovation.
These smart classrooms have smooth applications like mobile learning, Digital content platforms, augmented reality, virtual reality, wearable technologies, etc to make learning fun, easy, and possible for all.
6 Ways How AI is Changing Education with Smart Classrooms
Now that we know what exactly a smart classroom let us try and understand the role of AI in the education sector. Smart classrooms are in a constant process of developing learning, increasing new technology, and processes in educating all individuals. This is the area where the concept of AI in the classroom Vs traditional classroom serves as a massive advantage.
Here is a look at the benefits of AI in the classroom and how AI-powered education is revolutionizing the way we teach and learn
AI education technology: 6 Smart Classrooms for AI-enhanced learning
1. Personalized Learning
Educational experience is one of the many areas where AI plays a role in learning delivery, and it mainly involves customizing the learning delivery process. An AI can work with large volumes of data related to student performance, learning modalities, and preferences. This makes learning more personalized and tailored in a way that will meet the special needs of each student as far as Artificial Intelligence is concerned.
This is especially helpful to students with learning disabilities or considered special needs students. AI can recommend diverse learning strategies, give timely feedback, and present specific support that targets areas of difficulty, preferred learning approach, and performance of each learning individual.
Organized autonomous learning by the use of AI-based adaptive learning systems is known to enhance performances as it erases students’ anxiety. It also gave students feedback which is unique and immediate, allowing students to review their performances and devise activities that suit them.
2. Smart Content Creation
The role of AI in education has not only changed teaching curriculums but has also introduced effective tools, which help create interesting content for smart classes. AI focuses on the learning behavior and preferences of the students and creates content that leads to particular outcomes, including videos, Educational questions, and Educational games. They help to filter the necessary amount of material that has to be utilized in lessons from huge databases, thereby saving the teacher’s time, which has to be spent on the preparation of the necessary materials. Furthermore, AI brings attributes, which make the content relevant to different styles of learning as well as needed accommodations for learners with disabilities.
3. Automation of Administrative Tasks
A teacher’s involvement does not end with what is being taught in the classroom. There are several everyday tasks, which a teacher is obliged to accomplish, including grading assignments, constructing progress reports, schedules, curricula, etc.
With such help in other fields of education, AI helps minimize administrative time and make teachers involved in Student interaction. This also helps somewhat ease the load on teachers where they can counter student issues on one hand, and support their professional development as well as learning ability on the other.
4. Always ON Support Helped By Conversational AI
Another interesting way how AI is helping smart classrooms in education is through conversational AI which is always available. In normal classes, the student often depends on minimal interaction with the teacher throughout class time. However, with the integration of conversational AI, the student can access support and assistance, at any time and from any location.
Students can use a virtual assistant most often known as the chatbot to get an immediate response they need to answer a query or receive immediate feedback on assignments or projects. This allows students to receive assistance, materials, and questions they have answered individually; thus encouraging constructive learning even if not during the usual lesson plan of a class.
5. AI-Based Proctoring
Given the increasing use of online and distance learning, checking for academic integrity during a test has become challenging. While some enablers or approaches allow this to be done – there are also ways to enhance effectiveness through proctoring using artificial intelligence to scale up the chances of online examinations.
Using facial recognition, eye tracking, and audio analysis, AI can identify paranoid patterns and combat plagiarism involving AI-generated material so that the role of AI in education may provide more credibility to the educational process. It can even be used for grading which will save teachers’ time spent on grading assignments or tests by up to 70%.
6. Improve Inability to Use Data to Drive Analysis
The true potential of using AI in classrooms is in the form of insight as well as analysis that it can offer. In smart classrooms, AI algorithms gather and analyze large amounts of information associated with the performance, activity, and habits of the students.
AI gives very specific insights where normally perhaps in weeks or months, if done manually, the mammoth amount of data is sifted through by the system. It also gives a chance for teachers and other educators to analyze students’ results, as well as the difficulties they face, to develop educational practices, grading policies, and other important aspects of education, so stakeholders can enhance them over time. Moreover, with the use of such an approach, it becomes possible to prevent various issues and address them on time, by basing decisions on empirical evidence rather than assumptions or guesswork.
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Read More– How is Artificial Intelligence Transforming Every Industry?
How can AI particularly solve the major problems related to education operation workflow?
Image Source: Forbes Advisor
The workflow of the education operations can be somewhat different and depends on certain institutions and procedures. Here are some challenges that can be faced in each stage of the education operations workflow, along with how AI can potentially address them:
- Admissions and enrollment
Problem: A large number of applications and a lengthy offline evaluation process.
AI Solution: AI helped screen potential applicants by sorting through the number of applications received and then narrowing down the applicants that met the intended criteria more quickly.
• Registration
Problem: Course conflicts and course scheduling problems.
AI Solution: Online auto scheduling systems that help to determine class timetables according to the students’ choices and preferences, and the availability of resources.
• Class Scheduling
Problem: Demand for frequently selected disciplines and rational utilization of definite resources.
AI Solution: Scheduling to predict course demand and allocate resources in a way that can benefit from predictive analytics to study properly.
• Teaching and learning
Problem: Individualized approach to learning for effective achievement of educational objectives by different categories of students.
AI Solution: Dynamic web-based learning applications enhanced by artificial intelligence to deliver content based on student’s performance and learning modalities.
- Grading and assessment
Problem: Grading takes a lot of time to complete while bias may be traced in the results obtained.
AI Solution: The use of artificial intelligence and paradigms in grading the achievement of objective parts of the assignments and tests, thus saving teachers’ time.
- Record keeping
Problem: 20% data input error due to manual data entry and increased risk of record-keeping error.
AI Solution: Self-organizing systems with AI applications for data acquisition and storage, as well as record updates and protection of student records.
- Graduation and certification
Problem: Graduation progress from course completion to class requirements to tracking down any specific graduation necessities.
AI Solution: Supervised monitoring mechanisms that notify students or administrators of status in achieving course or other degree-relevant requirements.
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Read More– The Impact of Artificial Intelligence on Business and Society
Benefits of AI Experienced in Specific Areas
Benefits of AI to students
Image Source: Forbes Advisor
Training students in technology right from a tender age, the process is most likely preparing the students for the future job market, the application of which uses high-end technology. But that aside, let’s consider some of how AI is already bringing enormous benefits to learners:
Analyse Learning gaps: There are specific AI platforms that can be developed to track and analyze prior performance and holes in learning that can be hard to note otherwise.
Personalization: AI can tailor content for the students, unlike the traditional type of learning where it is a wholesale approach.
Questions answered instantly: By applying AI, students can get their questions answered in seconds instead of waiting for a human response – the latter inspires shy students to ask questions without being intimidated.
Timely feedback & learning: Teachers can also provide feedback more often and when students should still be memorizing the content, they are willing to.
Engagement: Computer-aided learning can be incorporated with games and other learning modes like VR and AR which can enhance the level of students’ interest in the course.
Time-saving: Partnering with AI to sort through potential ideas or even to compose actual writing limits the student’s productive time and allows them to use critical thinking or creative skills.
Improved accessibility: Smart data collection, customized work, and individual timeframe – with such AI solutions, the line between students, teachers, and educational managers can be blurred. Distance-based barriers, language barriers, and monetary barriers can all be worked around as we soon enough are provided with constant access to all that is available.
Neurodiversity: There are students with neural differences who may not excel in conventional classrooms or arrangements but perform well in AI-coordinated classes.
Benefits to Educators
There are many ways in which educators are already taking advantage of AI and these benefits are only set to grow:
Time-saving: AI can do most of the time-consuming jobs that educators are expected to perform presently such as record keeping, and marking. They can also be useful regarding planning which can otherwise be quite a time-consuming activity – this frees up the teacher to channel the creative and human activities that are necessary to amplify the learning experience.
Idea & content generation: AI helps teachers reduce the time required to come up with content, ideas and even learning objectives for teachers to go through, revise, and use in the way they best see fit in the class, projects, or tasks.
Answering student questions: When employing the use of AI as a personal tutor, both sides benefit; the student and the teacher. It is possible to ask more questions, teachers can see what questions have been asked and can direct their energies toward how to make learning even more engaging to make up for any missed learning.
Analyzing student performance: AI can monitor class attendance, submission of assignments, completion of a particular task, potential learning deficiencies, or concerning conduct. This in turn makes it much easier for a teacher to put in place the right corrective measures at the right moment.
Motivating and engaging students: Engaging learners in this fast-paced world of technology and advanced technology requires simple and more fun approaches to learning to be put into practice.
Use cases of AI in Adaptive Learning.
Moving on to some interesting use cases, we’ve selected just a handful, but there are so many innovative companies developing AI-enhanced solutions to support and enhance learning in students of all ages.
Seneca: A UK-based homework and revision platform that is a guarantee of getting your student’s top exam grades or your money back!
Thinkster Maths: An online maths teaching application that entails artificial intelligence and machine learning to display how a student solves questions and adapts information.
Knewton’s Alta: This form of intelligent, web-based, adaptive learning courseware has been developed with the higher education student in mind, regarding his or her study and learning needs as well as the process of doing assignments.
Gradoscope: An application that not only corrects papers but gives students useful feedback and important tips for their instructors to track learning successes and failures.
VirtualSpeech: Covering all key soft skills including presentation, meeting, and interview skills, VirtualSpeech applies virtual reality technology.
InnerVoice by therapy: It is an app for a Neuro-divergent child to help the child relate between the pictures of objects and words, and to teach.
Strategies to Implement AI in Learning and Administration
AI assimilation in education focuses on several guidelines to enhance implementation. Here is a guide on how to implement AI in education:
Assess educational goals and needs
- Determine particular educational needs, which AI can fill in or objectives, the AI can meet.
- Identify where in the teaching, learning, and administration process AI can be implemented.
Build stakeholder support
- Participate in informal and formal educational and academic conversations with teachers, administrators, students, and parents on AI.
- Explain the benefits, and address the clarifications about the program as needed.
Define clear objectives
- There needs to be well-understood and communicated goals and expectations from the integration of AI.
- AI-enabled learning objectives should be set to determine the effects of such arrangements on the learners’ assessments.
Invest in professional development.
- Organize awareness on the part of educators and staff about AI technologies or applications.
- Encourage the sustained acquisition of knowledge to be able to accept and implement new tools and techniques.
Select appropriate AI solutions:
- Select the appropriate AI tools and their use that best contributes to achieving educational goals.
- Factors that one should look at include issues to do with scalability, integration ease, and compatibility with current systems.
Ensure data privacy and security.
- Implement a clean and sophisticated data protection policy that safeguards the data of the students and the staff.
- Obey regulations and standards governing the discharge of such responsibilities.
Start with pilot projects.
- Start with procuring a few or implementing the use of AI in small classroom pilot projects.
- As with all major changes, it is recommended that one or both of the strategies be piloted and user feedback be sought with modifications made before widespread adoption.
Integrate with existing systems.
- It is also important to make the integration of AI into currently used educational technologies and applications unnoticeable.
- Consult with IT departments in case of compatibility problems.
Monitor and evaluate
- Develop a mechanism that will track AI’s impact on learning outcomes in a perpetuity manner.
- Collect and evaluate information to measure organizational performance and efficiency of its activities.
Encourage collaboration and communication:
- Encourage those who are working in the field of education, administration, and development of artificial intelligence.
- Promote organizational avenues, enabling the sharing of operational benchmarks and issues.
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Conclusion
The implementation of artificial intelligence in learning institutions is trending and transforming student learning and teacher course delivery in terms of capacity and diversity. The routine tasks are automated and the accessibility is improved and with real-time feedback, AI makes education more effective and inclusive than ever before. As the institutions latch into this change, the future of learning is likely going to be more progressive and influential leading to the creation of a generation capable of dealing with technological influences.
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Read More– How is Artificial Intelligence Transforming Every Industry?
FAQ
- What is AI-derived Adaptive Learning in Education?
Adaptive learning is Artificial Intelligence-based personalized and tailor-made educational content, according to the network of one’s weaknesses, strengths, and learning capacity. It gives personalized support in grasping concepts better while encouraging self-paced learning.
- How is AI utilized in smart classrooms?
The classrooms where intelligent tools, such as AI interactive whiteboards, voice recognition, and virtual assistants, can be integrated are called smart classrooms. Such technologies foster immersive and interactive learning experience that facilitates knowledge retention and engagement.
- How does AI improve efficiency for teachers?
AI will carry out most of the administrative aspect that consumes a lot of time, such as grading, attendance tracking engagements, and scheduling. It alleviates some of their workload and helps them concentrate more on teaching and personal one-on-one support for their students, thereby maximizing their productivity.
- Will AI enhance accessibility in education?
Yes, AI tools such as text-to-speech, language translation, and customized content for students with disabilities or language barriers ensure inclusivity in education.
- How does AI work in engagement?
AI obviates the drill in gamifying, interactive courses that promote real-time tick, making the process deeply engaging, thus enticing students to maximize learning, especially in the difficult subject matter.
- Do AI tools offer a good return on investment for schools?
Although the upfront cost may be on the higher side, AI solutions, in the long run, will cut operating costs and, therefore, provide better learning outcomes that yield value for money for the school and fraternity.