9 papers
Detecting Knowledge Gaps from Conversational AI Interactions Using Curriculum Prerequisite Graphs
Youssef Medhat, Junsoo Park, Ploy Thajchayapong +1
Large online courses generate thousands of student questions directed at conversational AI teaching assistants, yet these interaction logs remain largely untapped as diagnostic sig…
Powering An Ecosystem Of Pedagogical AI Agents: A Validation Strategy For A Unified Data Architecture
Natalia Theodora, Ploy Thajchayapong, Ashok K. Goel
The application of AI in education has evolved from monolithic intelligent tutoring systems to a diverse ecosystem of pedagogical agents, including conversational assistants, virtu…
Generalizing a Highly Configurable Analytics Pipeline to Replicate and Support Educational Research Across Multiple Domains
Yallen Bai, Ploy Thajchayapong, Ashok Goel
Artificial intelligence assistants deployed in online learning environments create new opportunities to collect large volumes of learner interaction data and generate insights to i…
Surfacing Isolated Learners with Outcome-Independent Mediation of Feedback between Teachers and Students Using AI
Junsoo Park, Youssef Medhat, Htet Phyo Wai +2
AI-augmented classrooms generate rich teacher and student feedback before graded outcomes become available, yet these signals can be difficult to translate into timely instructiona…
Guidelines for Designing AI Technologies to Support Adult Learning
Jennifer M. Reddig, Glen R. Smith, Sanaz Ahmadzadeh Siyahrood +16
AI-powered educational technologies have demonstrated measurable benefits for learners, but their design and evaluation have largely centered on K-12 contexts. As a result, many AI…
Memory-Based vs. Context-Only Conditioning Produces Distinct Behavioral Patterns in Stateful Personalization
Junsoo Park, Youssef Medhat, Htet Phyo Wai +2
We study how conditioning context shapes personalization behavior in a teacher-facing educational recommender system. We compare contextual conditioning based on the current studen…
Evaluating Learner Representations for Differentiation Prior to Instructional Outcomes
Junsoo Park, Youssef Medhat, Htet Phyo Wai +2
Learner representations play a central role in educational AI systems, yet it is often unclear whether they preserve meaningful differences between students when instructional outc…
Evolution of A4L: A Data Architecture for AI-Augmented Learning
Ploy Thajchayapong, Suzanne Carbonaro, Tim Couper +3
As artificial intelligence (AI) becomes more deeply integrated into educational ecosystems, the demand for scalable solutions that enable personalized learning continues to grow. T…
A4L: An Architecture for AI-Augmented Learning
Ashok Goel, Ploy Thajchayapong, Vrinda Nandan +2
AI promises personalized learning and scalable education. As AI agents increasingly permeate education in support of teaching and learning, there is a critical and urgent need for…