Designing Education Programs Based on Competencies Using Advanced Analytical Methods

Abstract

We propose an innovative framework leveraging artificial intelligence (AI) for the creation and assessment of outcome-based education (OBE)programs, particularly those with interdisciplinary and multidisciplinary aspects, emphasizing the importance of students learning outcomes (LOs) asit interrelates with competencies. The primary aim is to empower educational institutions to swiftly adapt to competency demands. The framework enables timely strategic adjustments within educational programs, aligning them with the dynamic higher education landscape driven by emerging technologies and the need for upskilling. It comprises two core components: the Structured Data Model and the AI-Assisted component. The Structured Data Model systematically organizes educational program elements, creating a database that supports advanced queries, facilitating the identification and incorporation of changes within programs. The AI-Assisted component uses natural language processing (NLP) techniques to classify competencies within existing educational offering with measurable accuracy. We defined the framework's strategic objectives considering four different, although interrelated, perspectives: Data, AI-Model, Classification, and Recommendation, which will serve as a reference for future implementation of this framework as an operative system. We also conducted a comprehensive case study using the NPS educational model,applying the framework to assess its value and effectiveness. Four AI-based classifiers were examined, set to classify intended LOs into existing NPS curricula. The classification results were promising, with one of the AI models reaching approximately 70% accuracy on test dataset predictions,demonstrating the feasibility and potential benefits of this type of AI application for DOD education and training institutions.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2023
Accession Number
AD1214573

Entities

People

  • Miriam C. Bergue-alves

Organizations

  • Naval Postgraduate School

Tags

DTIC Thesaurus Topics

  • Artificial Intelligence Software
  • Automata Theory
  • Bayesian Networks
  • Cognitive Science
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Computers
  • Data Mining
  • Dimensionality Reduction
  • Information Science
  • Machine Learning
  • Natural Language Processing
  • Network Science
  • Neural Networks
  • Students
  • Supervised Machine Learning

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • STEM Education
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks