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International MAAC Symposium 2019
                              Politeknik Sultan Mizan Zainal Abidin, Terengganu, Malaysia. 25-26 September 2019




               [ID PC1002]

                                 Developing of Smart DCC3132 ExamPREP using Andromo

                                                    Nor Afzan Ariffin 1, a
                  1 Politeknik Sultan Mizan Zainal Abidin, KM 8 Jalan Paka, 23000 Dungun Terengganu, Malaysia
                                                    a
                                             E-mail :  norafzanariffin@gmail.com

               Abstract.  Smart  DCC3132  ExamPREP  is  an  android  based  teaching  aids  tool  developed  for  the
               Statistics  (DCC3132)  course  using  Andromo.  This  innovation  is  specifically  designed  to  facilitate
               students to better prepare for final exams and to overcome the problem of discrepancies between the
               Continuous Assessment (CA) and the Final Exam (FE) scores. The development of this innovation is in
               line with the development of technology in today's education that requires more creative and innovative
               teaching techniques. The innovation of this android application comes with lecture notes, a collection of
               final exam questions along with a complete solution and topic distribution in the final exam questions.
               This innovation has been used by students taking the Statistics (DCC3132) courses at the Politeknik
               Sultan Mizan Zainal Abidin (PSMZA). By using this innovation, it has helped students achieve good
               results  in  final  exams  and  at  the  same  time  reduce  the  difference  scores  between  the  Continuous
               Assessment (CA) and the Final Exam (FE). This innovation has proven that the use of attractive teaching
               aids will have a positive impact on a student's learning process.

               Keywords: DCC3132, Statistics, Android, Andromo


               [ID PC3001]

                  Development of Adaptive Learning Web With Multimedia Representation of Learning Style
                                                  Using PnP and MySQL

                                 Jeffri Amran Bin Ibrahim 1, a  , Nor Rulmaisura Binti Mohamad 2, b
                                        1 Jabatan Teknologi Maklumat Dan Komunikasi
                                           Politeknik Besut Terengganu, Malaysia
                                2 Jabatan Pengajian Am, Politeknik Besut Terengganu, Malaysia
                                           a
                                   E-mail :  jeffriamran@gmail.com,  mysura85@gmail.com
                                                                 b

               Abstract.  The  adaptive  learning  hypermedia  approach  is  derived  from  a  study  conducted  on
               hypermedia and user modeling. An adaptive learning site that functions as a prototype of the online
               tutorial system for the subject of Digital System has been successfully designed. Learning content is
               presented digitally and consists of materials, learning tools, and navigation methods that are presented
               in a multimedia manner based on a student's learning style profile. Experimental methods have been
               used in this study where designated websites i.e. adaptive site or static site need to be accessed by
               sample of students during the learning session. The effectiveness of learning sessions was measured
               through two dependent variables, namely satisfaction level and level of domination. The results showed
               that the level of satisfaction and level of adaptive group's domination was much higher than the static
               group. This shows that the adaptive learning website is better than the static website and has further
               improved the effectiveness of the learning process.

               Keywords: Learning Hypermedia, adaptive learning site, Static Learning Page, Learning style profile












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