Artificial Intelligence and its Role in Developing the Learner’s Ability to Self-learn
Prepared by the researche : Mr. Ali EL- Khishen /Beirut Modern School /Lebanon
Democratic Arabic Center
Journal index of exploratory studies : Thirteenth Issue – April 2024
A Periodical International Journal published by the “Democratic Arab Center” Germany – Berlin
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Abstract
The importance of this study is to determine the role of artificial intelligence (AI) in developing learners’ self-learning technology, especially since the beginning of the widespread use of artificial intelligence in education was at the time of the spread of the epidemic in order to invent a solution to the problem of distance learning. The success of this intelligence has become widespread in various fields.
However, despite this, the field of education remains one of the most important fields in which artificial intelligence has emerged in a distinctive way and has achieved many goals, the first of which is developing education by training teachers and students alike to suit the great development brought about by its technologies in order to improve the quality of the educational process and its outcomes.
As for the second goal, it focuses on the enormous opportunities and potentials provided by artificial intelligence in order to permanently enhance learner learning in general as a fundamental aspect of the educational process.
Introduction
In “1956”, humoral imitation was born in this cosmic village that is constantly under the evolution of all the living species roaming its dimensions. Artificial intelligence has been subjected to all and every aspect of this expanding universe. The artificial implementation in our day to day occurrences in the end leads to relying in addition to self-improvement where a person is constrained to use the intellectual ability that may have been suppressed before. However, due to the expansion of our field of intellectual abilities, the human kind is bound to face obstacles where a human mind no longer has the mental capacity or physical strength to deal with it. This is where our expert systems otherwise known as artificial intelligence have proven to be of severe significance. Conclusively, what is AI ? How was it generated ? Has it proved to be of help in the fields of education and self-acceleration ? Or has it rayed a sunshine path for the future of humanity ?
- Definition of Artificial Intelligence
Artificial intelligence is a machine’s capability to execute the analytical functions we usually link with human minds. AI is the thesis and evolution of computer systems having the ability to perform tasks that historically required human intelligence. Such abilities include recognizing speech, making decisions, and identifying patterns. In 1955, Stanford Professor, John McCarthy, conceived the expression Artificial Intelligence. He defined it as the science and engineering of making intelligent machines. Furthermore, AI is an umbrella term that encompasses a wide variety of technologies including machine learning, deep learning, and natural language processing.
- Artifical Intelligence AI jobs
For the most part, massive amounts of tagged training data are typically consumed by AI systems which then analyze the data for associations and trends before exploiting these patterns to forecast potential outcomes. In that manner, an image recognition programme may acquire the ability to recognize and characterize parts of photographs by going through hundreds of thousands of scenarios, or a chatbot fed text examples can understand the process of the creation of realistic conversations with people. In addition, Generative AI algorithms are developing quickly and can produce realistic text, graphics, music, and other media. Even though people usually use this location – artificial intelligence – to describe various arrays of technologies in operation presently, the majority disagree whether they actually constitute artificial intelligence. On second thoughts, few argue that many of the technologies we use in our daily lives in fact establish highly innovative machine learning that is merely the first step towards artificial intelligence.
During this revolution of humanity, a person is found to be helpful in several features that he endures during the long passage of living. These features include all the aspects of survival such as building, human contact, machine building, food making and several more aspects that were spun on the human race ; however, with that being said as the generations have faced an obnoxious number of obstacles that get even harder and harder every day. To help overcome these obstacles, AI lends a hand to ease the simple ways of living. Likewise, this feigned piece of intelligence is of knowledge about all the countenances that a human might find hardship in. For instance, a few of the many domains which the AI is achieving in are Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and Data Science all of which revolve around the most important aspect which is learning, in other ways, education.
- The role of Artificial intelligence AI in Education
Learning (ML) is perhaps one of the most well-known and widely used domains of AI. It focuses on developing complex algorithms and models that allow machines to learn from a set of data and make predictions or decisions. Artificial intelligence in education is applied to improve learning outcomes and supports teachers in developing better educational practices. From automatic assignment grading to tailored curriculums, there are many ways AI consultants can help educational institutions make use of the technology. Conversational AI in education, like chabots and virtual tutors, offers quick assistance and promoting independent learning. AI chatbots for education are revolutionizing the way of education, where it changes the way, the educator spreads out the information and how the educate perceives this information. For instance, life science students long ago had nothing but imagination in addition to their expanding mind filled with potential to understand the way the living organism survives its environment and the way of its development. According to Claude, the percentage of understanding of biology has increased by 60% due to the rapid appearance of more resources, applications and facilitators. So, educators now have several grounds to base the way of giving out the information to their students. Facilitators such as videos, active boards, LCDs tablets are now present in almost every educator or educates house corner, where it has become a background guide for whatever troubles the comprehension of the mind.
- Artificial Intelligence AI and teachers
In our world today, the education system is full of monotonous work. For instance, grading homework and tests for extensive lecture courses can pressure and tier many of the educators. Therefore, the education system should have a solution for these pressures that can be the use of AI in the education field. Even while artificial intelligence may never be able to fully replace human labor, it can provide effective alternatives like computerized scoring and others. Teachers are able to focus more on in-class activities and student interaction by automating such tedious procedures. It’s fascinating and a little scary to think about how artificial intelligence may improve education, help instructors, and support more successful customized learning. In order to engage in a meaningful discourse regarding artificial intelligence in education, it is necessary to go past fantastical science fiction narratives in which computers and robots instruct our kids, taking the place of instructors, and eliminating the human element from an activity that is essentially human. Moving on, the use of artificial intelligence in educational settings is helpful in some ways, yet there must be hyper-vigilant monitoring regarding the techniques of its development and its overall role in our world, according to Matthew Lynch, one of the foremost authors on the subject who wrote “My Vision for the Future of Artificial Intelligence in Education”. In his writings, Matthew Lynch pinpoints how we should be aware and careful for the hazards that come along the benefits of this idea. In other words, strategic planning and thoughtful analysis are necessary for the successful application of AI in the education sector.
- Artificial Intelligence AI and students
Given AI’s explosive expansion, it is critical to comprehend how schools might use AI strategies to help kids succeed academically. A study done back in 2010 to 2020 examined AI in research about education in that duration of time. It explores that the current study results can be divided into three categories : First, the development category which includes deep learning, matching, recommendation and classification. The other category is the extraction category, which includes deductive reasoning, feedback, and adaptive learning. The final category is the application category, which includes gamification, role-playing, immersive learning, and affection computing.
In addition, four research themes were found based on the study questions and relevant AI methods. These include deep learning, swarm intelligence, Internet of things, neuroscience, and an evaluation of AI’s impact on academia. Into the bargain, deep learning platforms driven by AI are getting more and more common in higher education. These systems provide personalized instructional methods and resources by analyzing student data, such as performance history and learning preferences, using machine learning algorithms. Students’ engagement with course material can be increased and their ability to learn at their own speed can be enhanced by personalized learning systems. The difficulties posed by AI in education were also clearly visible from the perspective of the approach’s viewpoint, the responsibilities of both educators and pupils, and social and ethical concerns. For educational academics, students and AI developers who intend to make a contribution to related studies, these findings may serve as invaluable references. Moreover, it is evident that in order to bridge the gaps between method and educational theory, educators must collaborate with AI engineers. Apart from all, the AI-based tool could help create a better world where more learners have access to a high-quality and skills-focused education. Thus, artificial intelligence can help our academia by offering 24/7 access to learning, better engagement, and less pressure.
AI learning and development, it can enhance and augment learners’ educational experiences. It enables personalized learning experiences for each learner. This can be done by analyzing the learner’s performance and adapting the curriculum or content to their needs and preferences.
Also, AI-powered tutoring systems can provide learners with personalized feedback and guidance as they work through the curriculum. These systems can also analyze learners’ performance and adapt the instruction to their needs by creating an educational content, such as videos, quizzes, and other interactive materials. This can save time and resources for educators and trainers, and adjust the difficulty of the questions based on the learner’s performance.
- The role of Artificial Intelligence AI in Developing the Learner’s Ability to Self-learn
AI in Learning and Development is a fast-growing field, and new ways of using AI in education are constantly emerging. The goal of using AI in education is to enhance the learning experience, improve the effectiveness of instruction, and provide learners with more personalized and efficient education.
One of the key benefits of AI in education is its ability to provide personalized learning experiences. AI can analyze students’ strengths and weaknesses, identify areas where they need improvement, and tailor learning materials to suit their individual needs. This personalized approach ensures that students get the right level of challenge and support, making learning more effective and engaging.
The document below explains breively the seven functions of AI in learning and development of students.
- Identifying Knowledge Gaps
Most enterprise learning strategies depend on holistic teaching. What we mean is, they have the same course materials for all students. However, not all students are the same. Some may already have a skill that the learning needs. So, forcing them to learn what they already know is not a very effective strategy. AI can create learner profiles combining disparate data sources, something that will take days if done manually. It can successfully identify the skills missing in your students, automatically, in a short time.
This concept is already in use. Popular online training providers can use AI to measure learner performance, skills, and knowledge gaps in an organization. Once the gap is identified, the L&D team can work on adapting their training approach to meet the knowledge gap. This makes learning more effective and doesn’t waste crucial student hours.
The use of AI in education is to enhance the learning experience, improve the effectiveness of instruction, and provide learners with more personalized and efficient education.
- Suggest the Most Appropriate Content
AI can identify knowledge gaps and then automatically scan for the most appropriate content for the learner. All of us know how that works as we have all used Google to search for information.
Just like Google, AI can scan the internet, LMS, your proprietary content, and other sources to auto-suggest the most relevant content. This approach saves learners time as they don’t have to manually go through multiple pages of search results for hours.
- Creation of Digital Content
Creating educational content is time-consuming and challenging. For this reason, most schools outsource their content creation at a huge cost. AI can come in here and help schools save time and cost. We discussed how AI can source information snippets and digital resources from the internet and other connected platforms. The same AI technology can also consolidate them and present them in an easy-to-understand manner.
AI, through natural language processing, can even convert videos into texts. You can convert whole podcasts, webinars, and lectures into written words without any effort. It’s the same way by which YouTube provides automatic subtitles in videos, therefore, artificial intelligence provides students with all the learning resources necessary for learning.
- Personalize Learning According to the Learner
AI can personalize learning according to the pace, age, gender, and demographics of the learner. It can release materials to the student gradually as s/he finishes a chapter or a module.
AI can automatically scan the student’s skills and skip the basic training materials to suggest advanced resources. The AI technology is even fit to align learning with the student’s learning style. Research has shown that each of us learns in a different style. AI can track and identify student’s learning styles, and then optimize the learning experience for the best results. Personalized learning makes way for greater retention, higher recall, and improved learning.
- AI as a 24/7 Digital Tutor
AI eliminates the need for a human trainer to some extent. Your students may have many questions while they are undergoing training or taking a new course. Most of these queries are common and standard for all learners. In traditional approaches, the students would have to wait for the teacher to resolve their queries. This means they have to wait for the availability of the teacher.
AI can help address these queries and even provide accurate answers. Schools can use chatbots based on AI to help learners get answers to the most common questions. The whole process is carried out in the form of human conversation, just as you chat with a teacher or a Schoolmate.
- Seamless Assessments and Instant Feedback
AI-driven tools can gather information, evaluate performance, check answer sheets, and provide accurate results. Students can get feedback instantly and get to know how they performed. AI can be used to deliver any type of assessment as long as it’s digital. They can develop a range of assessment techniques and deliver them to your employees. Additionally, AI can even help personalize assessments. Most tests or quizzes are developed based on a ‘one-size-fits-all’ approach. They don’t consider IQ, skills, or other such factors.
Using AI, students can take tests based on their capabilities, skills, and level of learning. This creates a much more accurate system of performance evaluation and eliminates situations where some find the test too hard, and others find it too easy.
- Developing Crucial Insights
AI can mine students’ performance, collect feedback, and make way for a range of analytics. Schools can use the data to form insights into their learning and development. They can find out the effectiveness of courses, areas of improvement, and crucial trends and patterns.
The insight can help the teacher refine its content, courses, and AI in training and development strategy for better results. AI can do the work of collecting data continuously so that teacher can always make informed business decisions.
- The Tech Innovations of Artificial Intelligence AI in Developing the Learner’s Ability to Self-learn
Artificial Intelligence (AI) in Training & Development is one of the most promising technologies that can revolutionize student’s self- learn ability, because it is ideal for making learning fast and increasing the rate of completion. Not only can it enhance self-learn, but also improve efficiency, engagement, interactivity, and recall. Therefore, it is necessary to mention some technical innovations of artificial intelligence (AI) in developing the learner’s ability to self-learn:
- Personalized learning
AI in Learning and Development can be used to create personalized learning experiences that are tailored to the individual needs and preferences of learners. For example, AI-powered learning platforms can assess a learner’s progress and adjust the content and difficulty of the material accordingly.
- Adaptive learning
AI can be used to create adaptive learning systems that can adjust to a learner’s progress and provide additional support or challenge as needed.
- Automated grading
AI can be used to grade assignments and assessments, freeing up instructors to focus on more high-level tasks such as providing feedback and engaging with students
- Learning analytics
AI in Learning and Development can be used to analyze data on student learning and performance and provide insights that can be used to improve the learning experience and inform instructional decisions.
- Virtual instructors
AI can be used to create virtual instructors or tutors that can provide personalized instruction and feedback to learners.
- Translation
AI can be used to translate course materials and other learning resources into different languages, making them more accessible to learners around the world.
Conclusion
In conclusion, the integration of Artificial Intelligence (AI) into educational platforms has revolutionized the way learners engage with and consume knowledge. Through personalized learning experiences, adaptive assessments, and intelligent tutoring systems, AI applications empower learners to take charge of their own learning journey. By providing real-time feedback, personalized recommendations, and customized learning paths, these AI-driven tools cater to individual learning styles and preferences, fostering a more effective and efficient learning process. As technology continues to evolve, the potential for AI in education to facilitate self-directed learning and empower learners to reach their full potential is vast. Embracing these advancements in AI education not only enhances the learning experience but also equips learners with the skills and autonomy which is more accessible and tailored to diverse styles and paces. Such an integration between AI and skilled human guidance must be carefully addressed to engulf its merits and provide its data-driven insights to enhance teaching methods and make education more prolific.
List of references
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- Chronicle of Higher Education. (2023, May 25). How will Artificial Intelligence change Higher Ed ?
- George Luger, Artificial Intelligence : Structures and Strategies for Complex Problem Solving, Fourth Edition Addison-Wesley, 2002.
- Nils J. Nilsson, Artificial Intelligence : A New Synthesis, Morgan Kaufmann Publishers, 1998
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- Stuart Russell and Peter Norvig, Artificial Intelligence : A Modern Approach, Second Edition, Prentice-Hall, 2003 -Russell Group. (2023, July 4). New principles on use of AI in education.
