Using Self-Regulatory Learning to Enhance E-Learning-Based Information Technology Training

  • Authors:

  • Radhika Santhanam;Sharath Sasidharan;Jane Webster

  • Affiliations:

  • Gatton College of Business and Economics, University of Kentucky, Lexington, Kentucky 40506;Lewis College of Business, Marshall University, Huntington, West Virginia 25755;Queen's School of Business, Queen's University, Kingston, Ontario Canada K7L 3N6

  • Venue:
  • Information Systems Research
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

Technology-mediated learning methods are widely used by organizations and educational institutions to deliver information technology training. One form of technology-mediated learning, e-learning, in which the platform is the tutor, is quickly becoming the cost-effective solution of choice for many corporations. Unfortunately, the learning outcomes have been very disappointing. E-learning training makes an implicit assumption that learners can apply a high level of self-directed learning to assimilate the training content. In contrast, based on perspectives from social cognitive theory, we propose that instructional strategies need to persuade learners to follow self-regulated learning strategies. We test our ideas with participants who were trained through e-learning to design a website. Our findings indicate that participants who were induced to follow self-regulated learning strategies scored significantly higher on learning outcomes than those who were not persuaded to do so. We discuss our findings, and suggest that the interaction among information technology features, instructional strategies, and psychological learning processes offers a fruitful avenue for future information systems training research.