Open AccessLearner Analysis in Web-Based Instructional Design
Author(s) -
YingYing Kuo
Publication year - 2014
Publication title -
innovations in teaching and learning conference proceedings
Language(s) - English
Resource type - Journals
ISSN - 2379-8432
DOI - 10.13021/g8430w
Subject(s) - instructional design , procrastination , demographics , computer science , mathematics education , psychology , knowledge management , demography , sociology , psychotherapist
Most learner analysis focuses on students' demographics and previous knowledge and experiences, but how those factors are associated with instructional considerations are still inconclusive. Instructors need effective instructional guidance to design and manage online courses, so that learners who have diverse backgrounds can be supported. This study presents an approach of analyzing learning characteristics with the development and validation of the Learning Traits Questionnaire (LTQ). The five learning characteristics—Group Preference, Instructional Support, Procrastination, Computer Competency, and Learning Confidence—could be critical factors for instructors to consider when they analyze the targeted learners.