AI for Student Engagement

4.0

The AI for Student Engagement course explores how artificial intelligence is transforming modern education by boosting learner participation, motivation, and retention.

Course Duration 450 Hours
Course Level advanced
Certificate After Completion

(19 students already enrolled)

Course Overview

AI for Student Engagement 

 

The AI for Student Engagement course explores how artificial intelligence is transforming modern education by boosting learner participation, motivation, and retention. In a digital-first world, student engagement is no longer limited to the traditional classroom setting. Through smart technologies such as chatbots, virtual assistants, predictive analytics, and AI-driven personalization, educators can now create dynamic, responsive, and inclusive learning experiences.

This course offers a hands-on, practical approach to understanding how artificial intelligence students engagement tools are used to capture learner attention, provide real-time feedback, identify at-risk students, and create customized learning paths. By the end of this course, you will be equipped with actionable strategies to implement AI-powered engagement tools and foster more meaningful learning interactions.

Whether you're an educator, school administrator, EdTech professional, or simply passionate about the future of learning, this course provides essential insights into how AI is revolutionizing student engagement and academic success.

Who is this course for?

This course is designed for educators, academic professionals, instructional designers, school administrators, and education technology developers who are seeking to harness AI for student engagement. It's also well-suited for researchers, policymakers, and anyone involved in learning innovation. No prior experience in AI is required—just a passion for improving student learning experiences using emerging technology. Whether you're in K-12, higher education, or online learning, this course will provide valuable tools and insights for enhancing artificial intelligence students engagement.

Learning Outcomes

Understand the core principles of AI in education and its impact on student engagement.

Identify and apply AI-driven tools to enhance learner participation.

Design personalized learning experiences using AI algorithms.

Leverage predictive analytics to identify and support at-risk students.

Utilize chatbots and virtual assistants for academic and emotional support.

Implement AI-enhanced feedback and assessment systems.

Recognize data privacy and ethical considerations related to AI in classrooms.

Explore future trends in AI for student engagement and retention.

Course Modules

  • Gain foundational knowledge about the role of AI in transforming the learning environment, with a focus on student-cantered innovation.

  • Explore various AI applications—such as recommendation engines, interactive learning systems, and gamification—that boost classroom participation.

  • Learn how AI algorithms adapt learning content based on individual student progress, preferences, and performance.

     

  • Understand how predictive modelling can help identify students at risk of dropping out and suggest timely interventions.

  • Discover how AI-powered conversational agents offer round-the-clock assistance, reminders, and learning resources to students.

     

  • Study how AI tools generate real-time feedback, grade assessments, and track learner progress with accuracy and fairness.

  • Examine the ethical implications of using AI in educational settings, including student data protection and algorithmic bias.

  • Look ahead to upcoming innovations in AI for student engagement, including emotion recognition, immersive learning, and adaptive content delivery.

Earn a Professional Certificate

Earn a certificate of completion issued by Learn Artificial Intelligence (LAI), recognised for demonstrating personal and professional development.

certificate

What People say About us

FAQs

No. This course is designed to be accessible to educators and professionals without a technical background. Concepts are explained in a clear, non-technical way.

Yes. The course includes practical examples and walkthroughs of commonly used AI tools for enhancing student engagement and support.

Absolutely. Predictive analytics powered by AI can highlight early signs of disengagement, allowing educators to intervene before it's too late.

AI supports student engagement by personalizing learning paths, offering interactive content, providing real-time feedback, and enabling 24/7 access to academic support through chatbots and virtual assistants.

There isn’t a single “best” tool, but popular AI tools include adaptive learning platforms, AI-powered tutoring systems, and engagement analytics dashboards that help educators track and respond to student needs.

AI, when used ethically and responsibly, offers many benefits for students—including personalized learning, increased accessibility, and enhanced engagement. However, it's essential to address data privacy and fairness to ensure its positive impact.

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