Generative Learning Objects Instantiated with Random Numbers Based Expressions

• Main Authors: Ciprian Bogdan Chirila, Horia Ciocârlie, Lăcrămioara Stoicu-Tivadar
• Format: Article
• Language: English
• Published: EduSoft publishing 2015-12-01
• Series: Brain: Broad Research in Artificial Intelligence and Neuroscience
• Subjects: e-learning, learning objects, generative learning objects, meta-programming, compiling techniques, function composition
• Online Access: http://brain.edusoft.ro/index.php/brain/article/view/510
• ISSN: 2068-0473; 2067-3957

<p>The development of interactive e-learning content requires special skills like programming techniques, web integration, graphic design etc. Generally, online educators do not possess such skills and their e-learning products tend to be static like presentation slides and textbooks. In this paper we propose a new interactive model of generative learning objects as a compromise between<br />static, dull materials and dynamic, complex software e-learning materials developed by specialized teams. We find that random numbers based automatic initialization learning objects increases content diversity, interactivity thus enabling learners’ engagement. The resulted learning object model is at a limited level of complexity related to special e-learning software, intuitive and capable of increasing learners’ interactivity, engagement and motivation through dynamic content. The approach was applied successfully on several computer programing disciplines.</p>