Pedagogical Approach to AI

AI for Frequent Engagement

AI Engagement and Reinforcement (AER) is an AI-powered interactive tool designed to transform passive content consumption into active learning. Embedded within video-based, faculty-created course materials, AER prompts students to engage with key concepts through structured prompts and receive targeted, AI-driven feedback.

By encouraging students to engage more deeply with faculty teaching, AER drives engagement by:

Increasing Active Participation: Instead of passively watching a lecture, students engage with structured reflection prompts that reinforce key ideas.
Strengthening Conceptual Understanding: AER provides immediate, personalized feedback to correct misconceptions and deepen comprehension.
Supporting Critical Thinking: AER allows faculty and instructional designers to craft targeted, content-specific questions, helping students make connections, analyze implications, and articulate nuanced responses.
Improving Retention: By prompting students to recall and reflect on course material, AER reinforces learning in a way that improves long-term retention.

AI-Powered Role Play

Role-Play Simulations are AI-powered interactive tools that guide students through realistic, decision-driven scenarios, providing personalized feedback and coaching based exclusively on faculty-authored course content. Simulations allow students to engage in structured role play, where they make choices, receive guidance, and refine their approach in a low-risk, AI-supported environment.

Simulations are designed to provide students with authentic practice opportunities in areas where decision making, communication, and nuanced judgment are critical. This approach enhances learning by:

Simulating Real-World Scenarios: Students engage in interactive role play that mirrors the types of challenges they may face in their careers.
Providing Real-Time Feedback: AI delivers context-rich feedback that references course materials, reinforcing key concepts and improving understanding.
Offering AI Coaching: If students make mistakes or go off-topic, AI trained exclusively on course content can help guide them back on track.
Ensuring Mastery of Learning Objectives: Students are encouraged to continue engaging with the Simulation until they demonstrate a sufficient understanding of course concepts.

Learning Coding with AI Support

Coding Coach is an AI-powered coding assistant designed to support students as they work through programming challenges. This built-in tool helps students understand and learn from coding errors without directly providing solutions, ensuring they engage in meaningful problem solving.

Coding Coach AI fosters problem-solving persistence and conceptual clarity among students by:

Providing Immediate, Targeted Support: Students no longer have to wait for facilitator feedback on routine errors, allowing them to stay in productive problem-solving mode.
Enhancing Conceptual Understanding: The AI explains not just the error but the underlying concepts behind it, reinforcing key programming principles.
Encouraging Independent Debugging: Instead of giving students the answer, Coding Coach AI guides them toward a solution, maintaining the challenge while preventing unnecessary roadblocks.
Ensuring Mastery of Coding Concepts: Students must use their understanding to fix errors themselves, helping them develop deeper programming skills.

AI-Enabled Localization

Our AI-powered localization capabilities provide low-cost, scalable video caption translations across multiple languages. This system enables the seamless, automated translation of video captions, ensuring that course content is more accessible and inclusive for diverse global learners. Our primary focus is on supporting students globally where English is a second language (ESL).

AI-powered localization can:

Expand Global Access: Multilingual students can engage more fully with video-based course content through high-quality translated captions.
Provide Scalable, Cost-Effective Translations: Our AI-powered approach ensures efficient and rapid caption translation without excessive manual effort or cost.
Maintain Accuracy and Readability: The AI translation model is optimized for caption translation, ensuring natural, context-aware phrasing rather than rigid, word-for-word translation.
Ensure Quality: Our translations are tested against the standard BERTScore rating (-1 to 1). We are achieving a score of .93, which is ahead of the market average.

AI-Supported Facilitator Feedback

Our Facilitator Feedback Tool is designed to enhance course project feedback by using an AI-powered assistant to amplify human connection. Using the project rubric and key course concepts the tool analyzes student submissions and provides facilitators with drafted written feedback and talking points to record a brief, personalized video for each student.

AI-powered written feedback: Our AI assisted draft generator requires a human facilitator to refine, review, approve and add their own insights to feedback before sharing it feedback with students.
Personalized video feedback: Using drafted talking points, facilitators record a short, individualized video for every student, adding a direct human connection.
Proven impact on engagement and satisfaction: The combined use of the AI-generated written feedback and personalized video feedback is significantly outperforming courses that rely on traditional written feedback alone.