The main objective of the research is to design and develop a web-based personalized learning system called Personalized Learning Material Generator System (PLMGS). Initially, the researcher investigated the individual differences with respect to their learning strength (LS) based on the individual multiple intelligence, computer screen design preferences and learning object (LO) format to a group of 475 full time students attending bachelor degree programs at the Faculty of Education, UTM. Information pertaining to LS was collected using questionnaire which measured eight different constructs while information of screen design preferences and LO format was collected using self-designed checklists. This information served as a basis of the development of individual learning preferences (LP) profile. The LP was then used in the design and development of a prototype of PLMGS learning system which comprised of five main components namely, LS engine profile, LO, menu template, learning object repository system (LORS) and the integration of PLMGS into the Moodle e-learning platform. The design and development of PLMGS was based on ADDIE model using PHP and Javascript as programming languages. A series of quantitative pattern analysis study has identified three dominant LS components among the learners namely Verbal (V), Mathematical (M) and Spatial (S). Each of these LS dominants was found to be correlated to specific type of screen design preferences. A study of suitability of PLMGS (in terms of preferred screen design and LO) conducted on 102 students has found that most of the learning materials produced by PLMGS suit most of the individual student’s learning preferences. By at large, the study has contributed a useful framework in the design and development of personalized learning system that integrates individual LS, screen design preferences and LO format which is believed to give crucial benefits especially in elearning and personalized learning environment field.
展开▼
