Promoting Equity and Achievement in Real-Time Learning (PEARL): Towards a Framework for the Formation, Creation, and Validation of Stackable Knowledge Units

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Abstract

This paper presents and delineates Promoting Equity and Achievement in Real-time Learning (PEARL), a framework developed to help strengthen academic and career-related skills of students and professionals, and most specifically those from underserved and underrepresented backgrounds. PEARL uses problem-based learning pedagogy, competency-based education and artificial intelligence to break learning and assessment activities into manageable learning chunks. This allows for the formation, creation, and validation of stackable knowledge units. The paper also highlights how artificial intelligence along with learner-centered pedagogy can be used to improve knowledge gain and skill mastery.

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APA

Guilbaud, P., & Hirsch, M. J. (2022). Promoting Equity and Achievement in Real-Time Learning (PEARL): Towards a Framework for the Formation, Creation, and Validation of Stackable Knowledge Units. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13332 LNCS, pp. 159–173). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-05887-5_12

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