Artificial Intelligence in Education (AI in Education) QUIZ PDF

Artificial Intelligence in Education: Examining the Impact of AI on the Teaching-Learning Process Artificial Intelligence, or AI for short, is the simulation of human intelligence processes by machines, especially computer systems. In other words, it involves using la...

Artificial Intelligence in Education: Examining the Impact of AI on the Teaching-Learning Process Artificial Intelligence, or AI for short, is the simulation of human intelligence processes by machines, especially computer systems. In other words, it involves using large amounts of data to program intelligent machines. (Figure 1) Figure 1. A conceptual view of artificial intelligence These systems, by incorporating prior knowledge and experiences, are capable of imitating human behavior. The use of these systems will increase efficiency, speed, and accuracy for humans. The foundation of artificial intelligence is machine learning and deep learning techniques. Why is artificial intelligence important? Because AI has a great potential for performing tasks that require repetition, high accuracy, speed, and long-term calculations, and involve many details. Additionally, AI can improve many company processes and provide insights and conditions that were previously unavailable in the absence of AI. This is why many large companies in the world, such as Google and Uber, have started to incorporate AI into their systems to improve efficiency and effectiveness and gain a competitive advantage. AI tools often align with three fundamental principles: Learning: Acquiring and processing new experiences Creating self-correcting behavioral models: Improving algorithms to ensure the most accurate results Reasoning: Selecting specific algorithms to solve a particular task The use of Artificial Intelligence for learning and teaching Given the rapid growth and advancement of artificial intelligence and its related technologies, and the widespread and increasing use of AI in various fields, and due to the significant impact it can have on the future of everything, including the realm of education and learning, it is necessary for educational planners, teachers, students, and anyone who can play a role in the teaching and learning process in any way to become familiar with this tool and how to use it in their work. The use of AI in teaching and learning for students Artificial Intelligence can bring the following benefits to students: 1. 24/7 access to learning: They can use this educational resource whenever they want and dedicate learning time to when they have the highest mental and intellectual returns. Also, due to the lack of spatial limitations, they do not need to be present at a specific time in a specific place to learn. 2. Better interaction and engagement: When content is created individually and uniquely for each person and student, and customized tasks and dedicated consultations are also assigned to the student, their interest in studying and learning increases. 3. Less pressure: When lessons are presented specifically, it prevents students from being compared to each other, because in the traditional method, when asking a question in class, they had to ask it in front of everyone, but in this method, they are only one keyboard away from their answer. Additionally, it can include the following: 1. Due to the personalized and individualized nature of education, students' confusion and ambiguities are reduced because they can ask questions and receive answers at the same time with the most information and accuracy, and factors such as embarrassment about asking questions and thinking that the question may be considered foolish do not exist (since in some current educational systems, asking questions is postponed until the end of the class and the end of the teacher's speech).  2. Students no longer need to take private tutoring to resolve their doubts because they have a vast source of information with high analytical power at their disposal. 3. Increased speed and quality of learning due to the reduction in class size in terms of population and the increase in learning efficiency and the elimination of concerns about the end of class and the end of time for questions. (Because sometimes these questions are even forgotten or lead to wrong answers and the wrong path.) 4. It can help those who cannot afford private tutoring to resolve their academic difficulties, as it can be accessed even with a mobile phone connected to the internet. 5. Based on the information it has about the individual in terms of academic and personality, and considering the exam schedule of the courses, it can create a dedicated study plan for the student, tailored to their learning speed and style, to maximize learning in the individual. The use of AI in teaching and learning for teachers 1. Since AI has the ability to assess each student individually, it can provide a final report on the overall and average performance of the class to the teacher so that they can identify their teaching strengths and weaknesses and make changes to their content and delivery to improve. (In general, it will improve the teacher's deficiencies in various areas, deficiencies in subject matter and how to improve it, identifying more minor deficiencies that are normally hidden or unrecognized.) 2. Simplifying non-educational text writing for purposes such as inviting parents to school... 3. Creating and producing better, faster, more accurate, and more engaging educational content such as lesson planning, educational PowerPoint presentations, summarizing educational resources, exam questions, in-class and out-of-class activities, only by providing keywords for the topic in question. 4. Based on learning theories, Edward Thorndike believes that in exams, wrong and correct answers should be corrected quickly and feedback should be given to prevent the repetition of wrong answers and to reinforce the student or learner for correct answers, so they understand what they have learned well and what they have not learned or learned poorly. Therefore, he concludes that exams should be corrected quickly and the results announced promptly. AI, with its capabilities, can help the teacher achieve this goal and  by quickly correcting grades, it can help the learning process, which in turn allows each person to know their grade and their progress status and be able to plan for further progress, not as a fruitless quantitative or qualitative result that does not help the student. In general, the role and assistance of AI in the educational sector can be divided into three main categories: 1. Adaptive learning 2. Grade assistance 3. Personalized learning Adaptive Learning Adaptive learning is a technology-driven approach to education that tailors learning content and activities to the individual needs, abilities, and progress of a specific learner. Using algorithms and artificial intelligence, this method continuously assesses and optimizes students' learning paths to personalize their learning experience. Some individuals learn best by reading, some by watching videos, and others by listening to recorded audio files. AI- based analysis enables the adjustment of the course's complexity level and content personalization for learners. Learners' motivation and engagement increase significantly when their education is tailored to their preferences, improving learning outcomes. Grade Assistance The use of AI in grading can completely change the exam grading system and significantly contribute to the advancement of education and learning. These contributions may include: 1. Impartial Evaluation and Grading: The use of these systems promises that personal biases, prejudices, negative and positive mindsets, fatigue, and personal grudges no longer interfere with grading, and the results are purely the product of the student's own efforts or shortcomings. 2. Scalability: These systems can provide the power to analyze and grade numerous papers without the decrease in performance or human error associated with traditional methods. 3. Personalized Feedback: Personalized feedback refers to feedback that is provided based on the individual performance, characteristics, or needs of each student or user. This report is generated through a detailed analysis of the answers and can be a guide for the student to know which weaknesses to address or which strengths to focus on to achieve better results. Personalized Learning Personalized learning refers to AI systems designed to tailor educational experiences and learning to the individual needs, skills, interests, and abilities of each learner. Because each student has a unique learning history and set of cognitive skills, these systems use data on the learner's past performance, learning speed, preferences, and sometimes even emotions to adapt the learning content. Here's how personalized AI learning works: 1. Data Collection: Gathering detailed data about the learner, which can include interaction patterns, test scores, time spent on different topics, and even facial expressions or biometric data, if available. 2. Analysis: Using machine learning algorithms to analyze collected data and identify patterns, strengths, weaknesses, and learning styles of the student. 3. Adaptation: Automatically adjusting the curriculum, difficulty level of tasks, type of content delivery (such as visual, auditory, or kinesthetic), and learning paths to match the learner's data profile obtained from analysis and data collection. 4. Feedback: Providing continuous and immediate feedback to both learners and instructors. This can include areas that need more attention or suggestions for resources that may be helpful. 5. Engagement: Maintaining student engagement by providing game-like elements or challenges tailored to their level. 6. Predictive Insights: Imagine a student having trouble understanding a specific concept in mathematics. Using data such as previous exercise scores, response time to questions, and other learning-related factors, AI can identify patterns indicating the student's difficulty in a particular area of the subject. Then, using predictive algorithms, the system can detect that this student may have difficulty in the next exam and provide the necessary intervention and guidance before it happens, so that the student does not have to resort to trial and error and can benefit from continuous and uninterrupted progress. 7. Continuous Improvement: With each interaction, AI can gain more information about the student and thus continuously improve personalization over time. Introducing Efficient AI Tools for Teachers in Education In this section, we will introduce several AI-based websites that can be useful in various parts of the teaching and learning process, emphasizing the importance of using AI in education. Canva Magic Write Canva offers a clear user interface that allows teachers to easily create custom designs. This tool provides a wide range of templates, graphics, and design tools, enabling teachers to create engaging and visually stunning presentations. Canva's AI technology generates high-quality content for presentations, cover letters, greeting cards, blogs, or anything else based on a few keywords, making it easier for teachers to create professional-looking presentations or handouts without spending a lot of time. Sendsteps.ai Sendsteps.ai is a great AI tool for teachers as it allows them to easily and effectively engage their students during class or presentations. With Sendsteps.ai, teachers can create interactive presentations based on a document or other information. The steps for creating a PowerPoint presentation on the website are as follows: 1. Select the presentation or PowerPoint option. 2. Choose the topic by writing it. 3. Select the presentation language, which includes various languages such as Persian; however, a site subscription is required to select this language. 4. Determine the tone of writing. 5. Choose the suggested titles based on the selected topic. After completing these steps, the PowerPoint will be written and prepared using images and information collected by the site, although the presentation content can also be uploaded if desired. Lesson Planning and Question Creation Eduaide.ai: This is an AI-powered lesson development tool that provides educators with over 100 types of resources to create high-quality educational materials. Educators can create a curriculum, generate discussion prompts, use the "teaching assistant" to help create individualized learning plans, write emails, and take advantage of this comprehensive teaching assistant. A sample lesson plan generated by AI The Future of AI in Education Over the past 4 years, the use of this technology in the education industry and development has increased by 47.5%, and investment in AI is expected to reach $190.61 billion by 2025, and AI may take over many of the functions that humans perform. Of course, this shouldn't be a cause for alarm, as more optimized and correct training will allow humans to choose more challenging jobs in the future, and the widespread use of AI in education will provide more opportunities for educators to think about higher horizons. On the other hand, there will always be roles that require creative, cognitive, and emotional intelligence skills. The best results are achieved by combining AI and human abilities. For example, AI-based learning systems can be a great tool for teaching subjects such as foreign languages and mathematics. However, a teacher is still needed to guide students on aspects they don't know, such as the subtle differences and exceptions to the rules. Even if AI offers exciting advancements to improve the field of e-learning, it is still in the early stages of use. It requires more testing and research to be successfully implemented. One of the main challenges in the future of AI is increasing the awareness of the general public and non-experts about the applications and benefits of AI in various fields, especially education, as people deal with education, school, and learning more than anything else from the beginning of their lives. AI has a positive impact on children, adults, teachers, and schools in the field of e-learning and makes high-quality education accessible to everyone. However, many are worried that AI technologies will replace humans, but it can be predicted that AI will act as a great support system for human experts, especially in the field of education, as a result, AI will pave the way for a new path for the e-learning industry in the coming decades. Conclusion and Recommendations Given the depth and breadth of AI applications in various fields, including healthcare, business, law, and specifically in the field of education, it can be concluded that AI is no longer just a theoretical concept but has become a key factor in transforming and revolutionizing our future prospects. The numerous opportunities created by AI can be very effective in shaping new learning paths, including providing adaptive learning opportunities, accurate assessment of student performance, and supporting personalized learning. However, more than anything, AI requires careful and rational monitoring and use to ensure that its applications lead to progress not only in the efficiency and effectiveness of professional processes, but also in the enrichment and development of human skills and abilities.