Investigating AI-Enhanced Learning: Adaptive Learning, Intelligent Gamification, Metacognitive Scaffolding, and Classroom Integration
SCRP 2025
Lucas P. Cordova, Ph.D.
DR. LUCAS CORDOVA
Artificial Intelligence, Software Engineering, CS Education, Learning Tools, Social Media
RESEARCH
COMPUTER SCIENCE PROFESSOR
SCHOOL OF COMPUTING & INFORMATION SCIENCES
TEACH
Programming, Data Structures, Mobile/Web App Development, Algorithms, Data Engineering
Researching and developing an AI-infused learning tool called
Pedalogical
.
Supports
educators
in assessment design.
Supports
students
in concept mastery.
Peda
logical
Blueprints
→ Represent courses.
Journeys
→ Represent assignments.
AI-Generated
Questions
→MCQs, Matching, Pseudocode.
Feynman Questioning
→ AI chats with students to assess understanding.
Multiple choice question
generator
.
Pseudocode question
generator
.
Pedalogical assists the instructor in
assessing
students' understanding
of concepts.
Pedalogical uses the
Feynman Questioning Method
to reinforce concepts.
Research outcomes since last summer.
Presented a poster at the
CCSC Conference
during last semester
.
Won
best poster award
at the Murdock Conference
.
Next steps for Summer 2025
Adaptive learning based on the
student's learning style
.
Explore additional
questioning types
.
Intelligent gamification to
increase motivation
.
Designing a classroom
pilot study
.
Looking for an
SCRP student
to
take Pedalogical to the next level!
DR. LUCAS CORDOVA
📬 lpcordova@willamette.edu
📍 Ford 210
Thank you!