Cognitive diffusion model with user-oriented context-to-text recognition for learning to promote high level cognitive processes

Rustam Shadiev, Wu Yuin Hwang

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

There is a large number of studies on how to promote students' cognitive processes and learning achievements through various learning activities supported by advanced learning technologies. However, not many of them focus on applying the knowledge that students learn in school to solve authentic daily life problems. This study aims to propose a cognitive diffusion model called User-oriented Context-to-Text Recognition for Learning (U-CTRL) to facilitate and improve students' learning and cognitive processes from lower levels (i.e., Remember and Understand) to higher levels (i.e., Apply and above) through an innovative approach, called User-Oriented Context-to-Text Recognition for Learning (U-CTRL). With U-CTRL, students participate in learning activities in which they capture the learning context that can be scanned and recognized by a computer application as text. Furthermore, this study proposes the use of an innovative model, called Cognitive Diffusion Model, to investigate the diffusion and transition of students' cognitive processes in different learning stages including pre-schooling, after-schooling, crossing the chasm, and higher cognitive processing. Finally, two cases are presented to demonstrate how the U-CTRL approach can be used to facilitate student cognition in their learning of English and Natural science.

Original languageEnglish
Pages (from-to)30-48
Number of pages19
JournalKnowledge Management and E-Learning
Volume6
Issue number1
StatePublished - Mar 2014

Keywords

  • Cognitive diffusion model
  • Cognitive processes
  • Scalability
  • Sustainability
  • User-oriented context-to-text recognition for learning

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