Technology is a powerful tool for transforming modern-day learning. For decades, researchers and educators have looked at computers as a medium for revolutionizing education for all sections of learners. Today, educators are implementing different intelligent methods into teaching to help students learn subjects at their speed and improve their subject knowledge.
Many are employing artificial intelligence to solve students’ education problems and equip them with the knowledge and skills necessary to overcome academic obstacles.
One popular example of humans transforming training with computers and the internet is remote study. Countless platforms are available nowadays that offer one-to-one classes, group class facilities, lesson-based classes, course-based sessions, self-paced learning, video-based education, and app-based learning, to name a few.
They can opt for the best option and learn in the comfort of their homes. MyAssignmentHelp.com is a reputed academic platform that offers services like computer science homework help, essay writing help, or online homework help to solve writing challenges, irrespective of the subject, study level, and assignment requirements. Students requiring hand-held tutoring support can collaborate with coaching online and get comprehensive support for a steal.
Leveraging Intelligent Tutoring Systems
An intelligent tutoring system (ITS) is a computer system that offers quick, customized instructions to kids without any human intervention. The primary goal of ITSs is to enable quality and effective lessons for all with different modern technologies, thus breaking geographical boundaries. There are countless examples where ITSs are being used in both academic and professional settings.
In the academic scenario, cognitive learning theories and ITSs are closely connected. An ITS is typically designed to replicate the benefits of personalized education and provide top-quality education to all kids, regardless of the teacher’s availability.
Organizations are incorporating advanced technology like Artificial Intelligence (AI) in education to make lessons more personalized and learner-centric. The AI is developed to offer human-like lessons without the direct intervention of them. This computer-based learning structure is developed to give a personalized touch and provide instructions and feedback as per their requirements without an individual mentor.
Advantages of Using AI Intelligent Tutoring Systems
(This image shows the global AI in the education market, by share and application, in 2021).
AI is driving education forward. Let’s explore the role these technologies play in an intelligent tutoring system.
Offers a human-like experience:
The Intelligent Tutoring mechanism in computers uses AI teachers to connect with learners and engage them in productive discussions. Reports suggest that both teachers and students find bots useful for engaging and interactive conversation.
Provides personalized feedback:
These tutors are developed with the latest algorithms to ensure relevant and productive feedback. This will evoke seriousness in learners and encourage them to learn. They also motivate them to learn and make suitable changes to their learning style and speed based on the generated feedback and academic needs.
Hosts multiple learning:
Computers with AI-based guidance systems offer varied mediums to keep students engaged with their study resources. Unlike other online devices, AI-based ITSs offer study materials in the form of text, simulations, multimedia, and gamification. This allows them to learn at their own pace and identify the format that suits them best.
Promotes self-paced learning:
Human teachers often cannot keep track of each student’s individual needs. It’s because they have multiple obligations to take care of. On the contrary, AI teachers on computers can keep a close tab on each kid’s academic requirements. This means they can identify their style, emotions, and progress to develop a suitable approach for effective interactions.
The best thing about them is that they can track progress regularly and give feedback and suggestions on improving their understanding of the material and apply them efficiently for the best outcome.
Regularly updated:
Technology evolves with time. While a human teacher adopts a particular teaching style to solve a problem, the AI learning structure analyzes students’ challenges. It adopts different approaches and develops new methods to teach and solve their issues. Unlike them, computer systems will focus on teaching the art of problem-solving and not just solving a particular problem.
Limitations of Intelligent Tutoring Systems
While the machine is a noteworthy phenomenon in the education sector, there are challenges that individuals need to consider. By understanding the drawbacks, the developers and educators can make better use of their time and efforts to boost students’ productivity and output. Let’s take a look at the top limitations of using AI-driven intelligent training systems:
Wrong or unreliable predictions:
The primary purpose of this is to monitor students’ behavior and make suitable suggestions. However, it raises concerns about the suggestions’ fairness and accountability. It’s vital to remember that these systems in computers need accurate instructions, adjustments, and inputs to run successfully. Sometimes, even after receiving clearly defined prompts, they can generate inaccurate information.
Lack of high-quality data sets:
Meaningful AI-driven solutions are the product of massive data sets and human effort. Along with the quantity, data sets also should be of high quality to train them to generate solutions that are reliable, complete, and accurate. Poor data quality can significantly impact AI’s algorithm’s performance, and they will fail to analyze a student’s learning process and provide genuine suggestions, thus impacting the overall purpose of the system.
Lack of human connection:
Modern technologies like AI can greatly streamline different school activities. However, the outcome can often lack human insight, making it harder for students to connect. While educators can use AI to generate ideas and content, it requires their control as it cannot mimic individual decision-making abilities. AIs are yet to be advanced, so they don’t have a high degree of accuracy. For instance, a Chatbot can provide answers to limited queries and may have inadequate access to more detailed information. Conversely, when trying to solve complex algebraic equations, seek the guidance of the top algebra tutors available. Unlike AI, skilled human tutors can provide personalized guidance, explanations, and examples that cater to each student’s specific needs and challenges.
No scope of creativity:
Human insight is imperative for obtaining the best outcome. Since AI intelligent guidance systems cannot replicate their creativity, they cannot deliver refined and engaging solutions and will lack creativity and sensitivity. Schools and educators need to determine the challenges of AI mechanisms and provide human intervention whenever required to strike a balance between issues and benefits.
Do You Know?
AI in education market size reached US$ 4 billion in 2022 and is projected to grow at a CAGR of 10% by 2030.
Conclusion
Intelligent tutoring networks in computers are highly effective in helping students learn certain subjects, like grammar or algebra. Teachers can teach them how to solve a problem and develop a system that generates accurate results for each problem. Despite the benefits, one cannot ignore the disadvantages these coaching structures pose. Some of the common challenges are:
- Wrong or unreliable predictions
- Lack of high-quality data sets
- Lack of human connection
- No scope for creativity
Therefore, developers and educators need to identify the limitations and make suitable changes to ensure the best outcome. All the best!
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