Personalized learning environment based on cognitive styles for mental model development in learning chemical bonding

Also available in printed version : LB1028.3 L434 2008 rafCP 017106 ra

التفاصيل البيبلوغرافية
المؤلف الرئيسي: Noor Dayana Abd. Halim
مؤلفون آخرون: Mohamad Bilal Ali, supervisor
التنسيق: Doctoral thesis
اللغة:الإنجليزية
منشور في: Universiti Teknologi Malaysia 2025
الموضوعات:
الوصول للمادة أونلاين:https://utmik.utm.my/handle/123456789/115900
Abstract Abstract here
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author Noor Dayana Abd. Halim
author2 Mohamad Bilal Ali, supervisor
author_facet Mohamad Bilal Ali, supervisor
Noor Dayana Abd. Halim
author_sort Noor Dayana Abd. Halim
description Also available in printed version : LB1028.3 L434 2008 rafCP 017106 ra
format Doctoral thesis
id utm-123456789-115900
institution Universiti Teknologi Malaysia
language English
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publisher Universiti Teknologi Malaysia
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record_pdf Abstract
spelling utm-123456789-1159002025-08-20T15:57:01Z Personalized learning environment based on cognitive styles for mental model development in learning chemical bonding Noor Dayana Abd. Halim Mohamad Bilal Ali, supervisor Cognitive learning Chemical bonds Also available in printed version : LB1028.3 L434 2008 rafCP 017106 ra The purpose of this research is to develop a Visualization-based Learning Approach (VAL) in learning Engineering Drawing (ED) specifically for the topic auxiliary view (AV). The research comprises Initial Research to identify students’ levels of difficulties in ED topics and then followed by three phases, that is, (i) Phase I to identify students’ cognitive visual levels and AV problem solving methods which is then used to develop the pattern of problem solving methods in ED among students of various cognitive visual levels; (ii) Phase II is the development of VAL; and finally (iii) Phase III is to evaluate the effects of using the learning approach developed. The fundamental theories used in this research are Wiley Visual Cognition Stage, Auxiliary View Problem Solving Approach and Visual Literacy. Both qualitative and quantitative approaches are used to collect the data. The research samples consist of 43 Engineering Drawing teachers in the Initial Research; 350 students in Phase I; and 52 students in Phase III . The research instruments used for data collection include questionnaires, tests, interviews and observation checklists. Quantitative data were analyzed using SPSS version 11.5 while qualitative data were analyzed using triangulation method in single-case and crosscases. Results were presented as percentages, frequencies, means and transcripts. The initial study showed that the topic of AV is one of the topics in Engineering Drawing with high level difficulty. Results of Phase I showed the descending order of students’ visual cognition levels from visual memory, visual perception to visualization. The results also showed that the students used a combination of principles of projections, imagination and sketching to solve Engineering Drawing problems. The evaluation of the effects of using Visualization-based Learning Approach showed that the experimental group achieved a significant higher mean score as compared to the control group (significance value of t-test = 0.000). The outcomes of interviews also showed that the experimental group gave positive responses and constructive feedbacks on the effects of using this learning approach. In conclusion, the Visualization-based Learning Approach for learning Auxiliary View has been positively accepted by students. Hence, students and teachers are encouraged to apply this learning approach as the foundation for teaching and learning ED especially for the topics requiring visualization skills. zulaihi UTM 312 p. Thesis (Ph.D (Teknik dan Vokasional)) - Universiti Teknologi Malaysia, 2008 2025-04-21T02:29:22Z 2025-04-21T02:29:22Z 2012 Doctoral thesis https://utmik.utm.my/handle/123456789/115900 valet-20151214-161312 vital:82800 ENG Closed Access UTM Complete Completion Unpublished application/pdf Universiti Teknologi Malaysia
spellingShingle Cognitive learning
Chemical bonds
Noor Dayana Abd. Halim
Personalized learning environment based on cognitive styles for mental model development in learning chemical bonding
thesis_level PhD
title Personalized learning environment based on cognitive styles for mental model development in learning chemical bonding
title_full Personalized learning environment based on cognitive styles for mental model development in learning chemical bonding
title_fullStr Personalized learning environment based on cognitive styles for mental model development in learning chemical bonding
title_full_unstemmed Personalized learning environment based on cognitive styles for mental model development in learning chemical bonding
title_short Personalized learning environment based on cognitive styles for mental model development in learning chemical bonding
title_sort personalized learning environment based on cognitive styles for mental model development in learning chemical bonding
topic Cognitive learning
Chemical bonds
url https://utmik.utm.my/handle/123456789/115900
work_keys_str_mv AT noordayanaabdhalim personalizedlearningenvironmentbasedoncognitivestylesformentalmodeldevelopmentinlearningchemicalbonding