Technology permeates most fields. AI can significantly help education. Several colleges and academics have resisted AI. The leading cause is ignorance about AI’s benefits to education. As AI technology advances, it might change how kids and teachers learn. To use AI technologies that work, educators must plan a digital revolution.

Educational AI Grading software

AI-powered grading software uses Machinemachine Llearningearning to calculate assignment teacher- or s from teacher/professor-graded papers. The tools grading fromnstructors’ grading earlier.

They help instructors spend less time grading and more time on value-based work.

Administration

Automate scheduling, rescheduling, marking attendance, grading papers, financing, accounting, and record-keeping in schools, colleges, and universities. AI can do many things.

• Preventing truancy
• Report cards and other parent communication automatically
• Arrange meetings
• Accelerate progress reports.
• Streamline other record-keeping.

It may let instructors and academics concentrate on instruction rather than paperwork and job pressure.

Assistants

Voice assistants make studying at home fun and easy by scheduling study calendars, listening to coaching instructions on the fly, and answering students’ fundamental inquiries in class. Voice assistants benefit education:

• Students and instructors save time efficiently.
• Community Education
• Instantly personalizing education

Smartphone applications can employ AI-powered voice assistants without intelligent speakers.

Learner-centered

AI technologies may personalize learning with customized study plans. They find gaps in knowledge and fill them with training, testing, and feedback for students from preschool to college. AI-powered software, games, and tools may help students learn at their own pace and with repeated repetition. This machine-assisted classroom environment may help instructors adjust lesson plans to meet students’ requirements and promote differentiated and adaptable learning for all learners.

A customized learning system may notice that a student suffers from math. The plan would give the learner targeted practice problems or videos to help them understand. As the learner advances, the system adjusts education to fit their requirements.

Smart content

Creative content includes digital textbooks, manuals, instructional bits, videos, and AI systems that create personalized learning environments based on techniques and goals. Identifying where AI technologies might help personalize education is the next worldwide trend. 

Schools may build AR/VR learning environments and web-based curricula. AI monitoring and assessment technologies can adapt the information to various learning styles and paces. AI and ML-powered algorithms could find gaps in the curriculum and help teachers fix them when many students answer wrong.

Tutoring

AI-based tutoring applications may provide individualised feedback and directions for one-on-one training. They cannot replace teachers because they cannot teach. They may assist when human instructors are unavailable for short online classes. It may teach languages, geography, circuits, medical diagnostics, computer programming, mathematics, physics, genetics, chemistry, and more in e-learning platforms. They consider engagement, grading measures, and understanding.

e-Learning

VR lets students engage with information on their phones or computers. Virtual learning environments may include group instruction, student counseling, and immersive learning. VR headsets assist ADD/ADHD kids in focusing and filtering out distractions. Interactive virtual simulations also help learners acquire soft, life, and self-development skills.

Gamification

Points, medals, and leaderboards in AI-powered gamification make learning more fun. Gamification may engage pupils and teach critical thinking and problem-solving.

Gamification is employed in K–12, higher education, and professional training. In gamified math software, students get points for answeringansweringring practice questions correctly and advancing through levels as they understand various topics.

AI Challenges, and Opportunities

AI’s effects on learning outcomes, access to education, and teacher support are studied with the help of examples from China, Brazil, and South Africa. The challenges and opportunities  that are presented center on the following:

• Establishing a thorough understanding of public policy about AI for sustainable development: The complicated technical requirements for advancement in this subject need the coordination of many entities and elements. National and international public policy must cooperate to build an AI ecosystem that supports sustainable growth.
• With the development of AI, the least developed nations risk experiencing new technical, economic, and societal gaps. Particular significant challenges, including the fundamental technical infrastructure, must be overcome to create the actual circumstances for putting innovative tactics that use AI to enhance learning into practice.
• To apply AI pedagogically and meaningfully, teachers must acquire new digital abilities, and AI developers must understand how instructors function to produce viable solutions in practical settings.
• Data quality should be the key priority if the world is moving toward the ratification of education. To enhance data collecting and systematisation, state capabilities must be built. The growth of AI should give us a chance to make data a more significant part of how the education system is run.
• Even though research on AI in education will grow in the coming years, it is crucial to remember how hard it has been for the education sector to use research effectively in both practice and policy-making.
• AI raises several ethical questions about access to the educational system, personalized suggestions for each student, personal data concentration, responsibility, impact on the workplace, data privacy, and algorithm ownership. Public discourse on ethics, accountability, transparency and security will be necessary for AI legislation.

During Mobile Learning Week 2023, the main conversations will be about these topics. This is a rare chance for educators, governments, and other stakeholders worldwide to talk about the pros and cons of AI in all areas of education.