Broader terms curriculum mapping: Using natural language processing and visual-supported communication to create representative program planning experiences

TL;DR

This paper introduces a method combining natural language processing and visualization to enhance inclusive, representative curriculum planning by bridging communication gaps among diverse stakeholders.

Contribution

It presents a novel approach integrating NLP and visual tools for universal curriculum mapping, improving stakeholder collaboration and understanding.

Findings

Method accurately classifies learning objectives

Visualization enhances stakeholder communication

Case study confirms utility and effectiveness

Abstract

Accreditation bodies call for curriculum development processes open to all stakeholders, reflecting viewpoints of students, industry, university faculty and society. However, communication difficulties between faculty and non-faculty groups leave unexplored an immense collaboration potential. Using classification of learning objectives, natural language processing, and data visualization, this paper presents a method to deliver program plan representations that are universal, self-explanatory, and empowering. A simple example shows how the method contributes to representative program planning experiences and a case study is used to confirm the method's accuracy and utility.