Artificial intelligence in education: applications and examples

Learning has always been and will be an essential part of humanity. Today, thanks to artificial intelligence and machine learning technologies, education is more accessible and efficient than ever. The potential for using artificial intelligence in education to enhance learning, assist teachers, and promote more effective individual learning is exciting, but also a little daunting for parents and teachers. Matthew Lynch, one of the leading authors on the benefits of AI in education, who always examines the potential problems of AI alongside its benefits, says: “The use of AI in education is valuable in some ways, but we must Be very vigilant in monitoring its development and its overall role in today’s world.” Personalized learning, plagiarism detection, and 24/7 access to tutoring are just a few ways AI is improving the classroom experience for students and teachers. In this article from Avir, we are going to do a complete review of artificial intelligence in education and examine examples of this technology. Stay with us.

Advantages of artificial intelligence in education

Among the most important advantages of using artificial intelligence in education, the following can be mentioned:

Personalization: It can be very difficult for a teacher to figure out exactly how to meet the needs of each student in their classroom. AI systems easily adapt to each student’s learning needs and can target instruction based on their strengths and weaknesses.

Tutoring: AI systems can gauge a student’s learning style and pre-existing knowledge to provide customized support and instruction.

Grading: Certainly, AI can help students and students to grade exams using answer sheets. AI can also collect data on how students are doing and even grade more abstract assessments like essays.

Feedback on course quality: For example, if many students answer a question incorrectly, AI can zero in on specific information or concepts that students missed, so instructors can provide targeted improvements to materials and methods. »

Give students accurate and immediate feedback: Some students may be shy about taking risks or receiving critical feedback in class, but with AI, students can feel comfortable making the mistakes they need to learn and get the feedback they need. to improve learning.

Many of the predicted potentials for artificial intelligence in educational centers are effective in reducing the time that teachers spend on tedious tasks.

Automating administrative tasks in education is also one of the five potential benefits mentioned by Bernard Marr, author and futurist.

In a video on the potential of AI in education, Bernard Marr explains why he sees AI as having a “huge impact” on education and emphasizes that “AI is not a threat to teachers. “This technology is not going to replace teachers, but to provide better education to our children.” Marr envisions a future hybrid model designed to “get the most out of our AI-enabled systems and teachers.” Marr describes the potential of artificial intelligence to aid education in providing the following benefits:

Individualized learning

Automation of administrative tasks

Private tutoring and support outside the classroom

Universal access for all students

Examples of using artificial intelligence in education

Inspired by the challenge of “an old-school teacher who thinks AI is ruining education,” Matthew Lynch reviews a wide range of topics in an article titled “26 Ways AI Is Changing Education for the Better.” For example:

Adaptive Learning: Used to teach basic and advanced skills to students by assessing their current skill level and creating a guided learning experience that helps them become proficient.

Assistive technology: AI can help students with special needs access a more equitable education, for example by “reading texts to a visually impaired student”.

Early childhood education: Artificial intelligence is already being used to power interactive games, teaching children basic academic skills and more.

Data analytics and learning: AI is now being used by teachers and education administrators to analyze and interpret data, enabling them to make more informed decisions.

Scheduling: Help managers to plan their courses and manage their daily, weekly, monthly or yearly schedules.

Facilities management: Artificial intelligence is effective in monitoring the status of electricity, internet and water services and alerts employees in case of problems.

Overall school management: AI is currently being used for overall school management, enhancing student record systems, transportation, information technology, maintenance, scheduling, budgeting, and more.

Writing skills: Not only does Lynch claim that artificial intelligence is already helping students improve their writing skills, but he also believes that “I’m using a grammar and application program as I’m writing this paper to help me in Writing helps.”

At the end of his list, Lynch also mentions the current applications of artificial intelligence in education, which include:

Classroom management and behavior

Curriculum

Audio-visual classes

Communication between parents and teachers

language teaching

Exam preparation

Assessment

Learning management systems

Gamification to increase student participation

Staff planning and replacement management

Professional development

Transportation

Maintenance

Property, economy and investment

cybersecurity

safety and security

Examples of how artificial intelligence is currently being used in higher education include:

Plagiarism detection

Chatbots or chatbots for student registration

Learning management systems

Exam integrity

Transcription of university lectures

Advanced online chat platforms

Analysis of student success measures

Academic research

In terms of specific AI-based technologies now being used in education, the list is getting longer every day. Here are just a few examples of software and applications based on artificial intelligence:

Thinkster Math: The creators of this app describe it as “a math tutoring app that uses human interaction and ground-breaking artificial intelligence to create personalized learning programs.”

Jill Watson is an AI-enabled virtual teaching assistant introduced by the Georgia Institute of Technology in 2016.

Brainly: A social media site for introducing classroom questions.

Nuance: speech recognition software used by students and professors. The program is capable of transcribing up to 160 words per minute and is especially useful for students who have difficulty writing.

Cognii: Provides AI-based products, including a virtual learning assistant, for schools and higher education institutions, as well as corporate training organizations.

KidSense: AI educational solutions designed for children, including an audio-to-text tool with algorithms built to recognize learners’ speech, which is sometimes harder to translate.

Content Technologies: Instructional design and content application solutions powered by artificial intelligence research engines.

Palitt: This platform is built to help educators easily prepare their own customized lecture series, curriculum, or textbook.

Cram101: AI technology that can turn any textbook into a smart study guide complete with chapter summaries, unlimited true and false practice tests, and flashcards, all assigned to a textbook, ISBN, author, and chapter have became.

JustTheFacts101: This AI instantly highlights book summaries and specific chapters of a book.

Artificial intelligence in public education

Bernard Marr explains that AI tools can increase access to education in a number of ways, including:

 Help make international classrooms accessible to everyone, including those who speak different languages ​​or may have visual or hearing impairments.

 Providing access for students who may not be able to attend school due to illness.

 Better service to students who need learning at different levels or a specific subject that is not available at their school.

Overall, it is hoped that AI will ultimately help educators make continued progress in addressing the wide range of physical, cognitive, academic, social, and emotional factors that can influence student learning and ensure that all students Regardless of social conditions, class, race, gender, ethnic background or physical and mental disabilities, they have equal opportunities in education.

Artificial intelligence in individual education and learning

There is also considerable optimism about the idea that as AI becomes an integral part of the classroom, teachers will be better equipped to provide an individualized learning experience for each student.

According to an article recently published in The Atlantic website entitled “Artificial Intelligence Promises a Personalized Education for All”, artificial intelligence has the potential to surpass the abilities of human teachers to Adapting lessons to each student without disrupting their classroom schedule will increase and eliminate the need for educators to teach according to the abilities of “students with average learning.”

Rose Luckin, professor of learning-centred design at University College London, believes that “the real power of AI for education is in the way we can use it to process large amounts of data about students, about teachers, about learning interactions and about Learn to use. Ultimately, AI can “help teachers understand their students more accurately and effectively.”

Although there is still extensive debate about the pros and cons of applying AI technology to education, including concerns about depersonalization and the ethical considerations mentioned above, there is an emerging consensus that the extraordinary range of current benefits And the future will bring.

Challenges that teachers face to adopt artificial intelligence in education

As the importance of using artificial intelligence (AI) algorithms and systems in education has increased these days, educators around the world are constantly using AI tools in teaching and learning. Teachers use AI algorithms to analyze data about students’ learning progress and learn about their strengths, weaknesses, and learning styles. With AI tools, educators can design their own curricula and use the right resources to create an effective curriculum that meets modern educational standards. As a result, AI algorithms help teachers focus on interacting with their students. This helps to strengthen the student-teacher relationship. However, educational institutions face different challenges in adopting artificial intelligence for education, the most important of which are the following:

1. Creating an effective public policy in the field of artificial intelligence for educational foundations

As technological advancements increase day by day, government institutions should provide financial assistance to educational foundations to help students develop AI skills. In addition, public policies should establish policies and procedures that allow local and international organizations to work collaboratively. This will help improve AI functions in many educational institutions. As educational institutions increasingly emphasize the use of AI educational tools to transform teaching and student learning, government policies should provide adequate financial support to academies. They should be provided with funding and resources that provide innovative opportunities for AI in education.

Governments should also invest in building academic centers of excellence to conduct AI research, receive AI scholarships, and train AI experts.

2. The need to create basic technical infrastructure in developing countries

Developing countries cannot use AI facilities in their educational institutions because they lack basic technical infrastructure such as non-availability of modern electrical equipment, availability of ICT hardware, fixed internet facilities, data costs and lack of ICT skills. Therefore, the government should take necessary steps to initiate new strategies to improve AI learning facilities in educational institutions.

3. Empowering teachers with artificial intelligence training

This means that educators need to learn the digital skills of artificial intelligence and apply them to their teaching methods. Teachers work to improve AI education systems and contribute extensive research and data analysis skills. Organizations must acquire innovative management skills to manage human resources and artificial intelligence. Hence, AI tools allow language learners to acquire new skills and competencies.

4. Collecting government policies and improving data systematization

The government should develop the education system management by providing a quality and comprehensive data system. A pervasive data analytics system helps educational institutions leverage the predictive capabilities of artificial intelligence and machine learning to transform data collection systems.

5. Management of ethics and transparency in data collection

This means that institutions still have ethical concerns while implementing AI in the education system. A transparent data collection system should ensure the protection of individual data and preserve the privacy and ownership of users’ data.

How to use artificial intelligence in mobile applications to enhance teaching and learning?

1. Personal learning

AI-based applications can analyze a student’s learning style, strengths, and weaknesses to create a personalized learning plan. Using a machine learning program, instructors collect data on a student’s response time, accuracy, and preferred learning mode to create a personalized study plan. This program identifies the areas where the student has difficulty and a comprehensive plan. Students learn at their own pace and focus on areas that need improvement.

2. Speech recognition technology

Speech recognition technology is among the most common artificial intelligence technologies for mobile applications. This technology refers to a voice control system that has speech recognition. For example, they transform natural human language into readable text using artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) techniques. Today, many mobile app development companies have integrated artificial intelligence functions into their apps, helping students improve their pronunciation and grammar. This app provides feedback to help students improve their speaking skills.

3. Chatbots

Chatbots integrated into mobile applications provide users with conversational interfaces for various tasks. For example, chatbots are used to improve the user experience of mobile applications by providing instant customer support, answering common questions, and effectively interacting with customers. To create a chatbot for your mobile app, professional mobile app development services can use chatbot platforms, including Dialogflow, IBM Watson, Microsoft Bot Framework, and Amazon Lex.

4. Adaptive learning

With the help of machine learning algorithms, AI-based mobile apps can analyze student performance and data and provide personalized learning experiences. The mobile application equipped with artificial intelligence tracks the progress of the student and identifies the part where the student is having problems. The program helps educators adjust their teaching approach and allows students to improve their learning experience.

5. Data analysis

Mobile apps can analyze student data by integrating artificial intelligence algorithms to identify their learning trends and patterns. Analyzing data such as student test scores, homework completion rates, and attendance records. As a result, AI-powered mobile apps identify areas where students may struggle and help teachers adjust their teaching methods. Educators can create interactive curricula that effectively meet the needs of each student.

6. Natural Language Processing (NLP)

Natural language processing uses artificial intelligence and machine learning along with computational linguistics to process text and audio data and generate responses. In addition, natural language processing used in mobile applications facilitates natural language interaction between users and applications. This helps start speech to text and chat bots. With NLP technology on Android and iOS, mobile companies are using NLP for healthcare applications. Natural language processing is also used in GPS navigation applications, voice recognition technology, and Google Translate assistance.

7. Machine learning (ML)

Machine learning is another important type of artificial intelligence that allows machines to learn and improve without explicit programming. In mobile applications, ML can be used to personalize content and provide recommendations based on user behavior and preferences.

8. Biometric mobile application

Biometric mobile application for students helps in biometric authentication which includes face recognition and fingerprint scanning. This program tracks the attendance of students in class using face recognition or fingerprint scanning. In addition, the biometric authentication program allows students to verify their identity before the exam begins. Hence, it helps to keep the exam secure and prevent cheating.

And in the end that…

Artificial intelligence (AI) has the potential to transform education in many ways, including personalizing learning experiences, automating administrative tasks, improving accessibility, and providing real-time feedback to students and teachers. Artificial intelligence helps students improve their performance by providing instant feedback while helping teachers adjust teaching strategies to improve student learning outcomes. However, many educational institutions face challenges in effectively integrating AI into their educational practices. Challenges include ethical concerns and the high cost of AI tools, which prevent many schools and educational institutions from adopting AI-based technology in their education system. To further develop the educational system, mobile application services have integrated artificial intelligence technology into their mobile applications. Different learning style apps analyze students’ strengths and weaknesses, provide instant feedback, and create a personalized learning plan. AI-powered mobile apps use speech recognition technology to help students improve their language skills. Hence, artificial intelligence in mobile applications provides learners with personalized, efficient and engaging learning experiences.