Abstract
This Work in Progress outlines a framework of a new intelligent e-learning platform for quantum cybersecurity education. The platform uses intelligent notebooks to support multiple modes of learning through a rich set of media that includes text, videos, interactive widgets, simulations and can even incorporate serious games. The new platform, named Quark, is designed for undergraduate and graduate students, professionals and self-learners wanting to learn the basics of emerging areas in cybersecurity. The Quark platform consists of a learning bank data repository based on FAIR (Findable, Accessible, Inter-operable, and Reusable) principles storing learning objects designed using object oriented (OO) methods and incorporated using contemporary pedagogical methods to support a multiple, varied learning experiences for each topic. The overarching vision of this work is the development of a novel e-learning platform that synthesizes engaging learning experiences so that learners can achieve targeted proficiency in quantum cybersecurity education. In contrast to e-books and other elearning repositories, Quark offers a dynamic way to create subject content satisfying a given set of student-learning objectives for achieving the desired student learning outcomes with high levels of engagement and proficiency. Domain experts drive the content creation enriched with metadata that allows automatic processing of content through algorithms in Quark to synthesize a family of Python-based Jupyter Notebooks and lesson plans. Students select their learning objectives and outcomes, time to completion and student learning choices. The system then dynamically builds the lesson plan based on the dependencies in the metadata defined by the domain experts. This work in progress describes the Quark framework using sample skeleton content. Quark is the first intelligent notebook platform of its kind designed for quantum cybersecurity. In the future, Quark will be able to customize content continuously based on student interactions and informed learning choices and can be set-up for use with any topic. © 2023 IEEE.