Date
Publisher
arXiv
Engineering education has historically been constrained by rigid,
standardized frameworks, often neglecting students' diverse learning needs and
interests. While significant advancements have been made in online and
personalized education within K-12 and foundational sciences, engineering
education at both undergraduate and graduate levels continues to lag in
adopting similar innovations. Traditional evaluation methods, such as exams and
homework assignments, frequently overlook individual student requirements,
impeding personalized educational experiences. To address these limitations,
this paper introduces the Personalized AI-Powered Progressive Learning (PAPPL)
platform, an advanced Intelligent Tutoring System (ITS) designed specifically
for engineering education. It highlights the development of a scalable,
data-driven tutoring environment leveraging cutting-edge AI technology to
enhance personalized learning across diverse academic disciplines, particularly
in STEM fields. PAPPL integrates core ITS components including the expert
module, student module, tutor module, and user interface, and utilizes GPT-4o,
a sophisticated large language model (LLM), to deliver context-sensitive and
pedagogically sound hints based on students' interactions. The system uniquely
records student attempts, detects recurring misconceptions, and generates
progressively targeted feedback, providing personalized assistance that adapts
dynamically to each student's learning profile. Additionally, PAPPL offers
instructors detailed analytics, empowering evidence-based adjustments to
teaching strategies. This study provides a fundamental framework for the
progression of Generative ITSs scalable to all education levels, delivering
important perspectives on personalized progressive learning and the wider
possibilities of Generative AI in the field of education.
What is the application?
Who age?
Why use AI?
