Artificial intelligence in education enables adaptive learning that personalizes the learning experience for each student. Data analytics and machine learning algorithms explore students’ strengths and weaknesses to identify learning patterns. AI in Education (AIED) refines the learning framework, fosters student engagement, and improves learning outcomes. The continuous monitoring and feedback loop tailors the content to each student’s understanding, pace, and learning ability to create successful instructional methods.

Need for AIED

As per The Future of Jobs report, about 65% of students will be engaged in professions that don’t exist yet. The massive technology disruption is resulting in evolving skill requirements. The educational landscape must also evolve to keep pace with futuristic requirements. Some of the key benefits of AI in education are:

• to accommodate unique learning styles
• Conversational chatbots to help students navigate complex learning materials
• Virtual and augmented technologies for deep learning using 3D objects
• Effective real-time assessment with personalized feedback
• Gamification, interactive content, etc. to improve engagement
• Increased accessibility for all students
• Augmented teacher support

Use Cases of AI in Education

#1 80% Accurate Personalized Recommendations for Struggling Students

At Stanford, an AI program was successfully used to assist students when they struggled with self-paced digital learning. The program predicted when students would get stuck and offered solutions to help them continue their learning journey.

#2 AI Chatbots Answered Student Questions with 91% Accuracy

The University of Murcia in Spain implemented an AI-powered chatbot to answer student queries regarding campus and academic programs. The chatbot could answer a maximum of 800 questions daily, irrespective of working hours. This program was a success even before the birth of generative AI programs such as ChatGPT.

#3 Adaptive Learning Improved 62% of Student Test Scores

The test scores of students who used the Knewton AI program to learn increased by 62% compared to students who didn’t use the adaptive learning program. Curated educational content tailored to student needs helped each student succeed.

#4 AI Raised Grades by 30% and Reduced Anxiety by 20%

When fifth-grade students were taught using an intelligent tutoring system, they learned mathematics better. Their grades increased by 30%, and overall anxiety about the subject reduced by 20%. It specifically helped low achievers complete the learning tasks successfully.

#5 AI-Powered Chatbot Answers with 97% Accuracy Rate

Georgia Institute of Technology employed Jill Watson, an AI-powered chatbot that answered more than 10,000 student inquiries. The robotic teaching assistant reminded students of their due dates and sparked interesting conversations. Students who were not told it was a chatbot felt they had a normal conversation with a human being.

#6 AI Saved 3,000 Students from Failing Per Semester with 98% Accuracy

Ivy Tech Community College in Indiana used a machine learning model to analyze students and their failure rates. The program was able to predict the risks of failing within the first two weeks of the semester. As a result, the teachers provided early intervention, saved 3,000 students from failing in one semester, and helped them score C grades or better.

#7 Technical College Enables 96% of Deaf and Hard-of-Hearing Students to be Employed

Using the power of AI, RIT/NTID Technical College provides excellent education for deaf and hard-of-hearing students. More than 96% of its students are employed worldwide, and the college is building a network of deaf and hard-of-hearing professionals.

#8 800,000 Students Learn English with Adaptive Learning

Edwin, an Adaptive Learning technology, has helped more than 800,000 students in Latin America, Japan, and Korea learn and improve their English language skills.

#9 Assignments Graded 70% Faster by AI-Powered Tool

Using Gradescope, teachers spend 70% less time on grading. The AI platform automatically grades and groups assignments. It also provides a detailed analysis of student performance.

How AI and Adaptive Learning Can Help Educational Publishers

The global artificial intelligence market is expected to reach $71 billion by 2024, with a CAGR of 26% from 2019 to 2024. The introduction of conversational and generative AI has resulted in a great improvement in answering student queries. The robotic teaching assistants can answer many queries and interact with students to keep them engaged throughout the course. The administrators can automate several routine tasks, such as answering commonly asked questions, scheduling appointments, getting students to submit assignments on time, grading assignments, etc. Some ways AI can help educational publishers revamp their instructional design efforts are:

• Tailor learning experiences to meet preferences, interests, skill level, and individual needs of each student.
• Incorporate adaptive learning techniques for competency-based learning and differentiated instruction.
• Create dynamic experiential pathways for each student based on student-demonstrated proficiency.
• Build an Intelligent Tutoring System (ITS) to provide personalized guidance and feedback for each student.
• Enable conversational interfaces using NLP for chatbots and virtual assistants.
• Expand learning experience beyond the course material with AI-suggested ancillary activities.
• Boost engagement with gamification to improve comprehension of subject matter.
• Improve performance with prediction models that can predict, identify, and assist struggling students.
• Leverage learning analytics to improve collaborative learning performance and student satisfaction.
• Generate high-quality interactive and immersive course material, including quizzes, assessments, and simulations.
• Automatically translate and localize educational content to reduce the time-to-market of the course content.
• Automate assessment and feedback to boost student performance.
• Assist instructors to optimize resource allocation and maximize course effectiveness.

Conclusion

Every EdTech product evolves with AI, and LMS vendors continuously offer new AI features to upgrade their products. Adaptive learning is the key eLearning trend for 2023. As students get knowledge delivery based on their skills and proficiency, adaptive technology helps fast and slow learners acquire subject mastery. The customized learning environment is proven to be successful in improving learning outcomes. EdTech publishers can use AI and Adaptive Learning technology to create interesting and relevant eLearning courses based on student needs.