Autonomic Assessments: An E-Learning Model

ID: 48706 Type: Virtual Poster
  1. Joseph M Woodside, William Sause, and Shahram Amiri, Stetson University, United States

Abstract: The Problem: Given the significant e-learning growth over the next decade, autonomic assessments are required to gain efficiencies and allow greater focus on learning. While capabilities are increasing there are still a number of challenges and limited application framework for utilizing autonomic assessments within an e-learning environment. What Was Done: This poster paper develops an application framework for autonomic assessments in the context of an overall learning environment, where e-learning applications are anticipated to grow at an increasing rate over the next decade. Why this Work is Important: E-learning entities and platforms have been under increased pressure due to critics and government based on completion rates, costs, and student readiness. New technologies such as autonomic assessments can be leveraged to further enhance e-learning platforms and improve completion, reduce costs, and improve learning outcomes for students.

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