Model detecting learning styles with artificial neural network

Currently the detection of learning styles from the external aspect has not produced optimal results. This research tries to solve the problem by using an internal approach. The internal approach is one that derives from the personality of the learner. One of the personality traits that each learner possesses is prior knowledge. This research starts with the prior knowledge generation process using the Latent Semantic Indexing (LSI) method. LSI is a technique using Singular Value Decomposition (SVD) to find meaning in a sentence. LSI works to generate the prior knowledge of each learner. After the prior knowledge is raised, then one can predict learning style using the artificial neural network (ANN) method. The results of this study are more accurate than the results of detection conducted with an external approach.

[1]  L E Nugroho,et al.  Learning style model detection based on prior knowledge in e-learning system , 2017, 2017 Second International Conference on Informatics and Computing (ICIC).

[2]  T. T. Dieu,et al.  Trying K-W-L Strategy on Teaching Reading Comprehension to Passive Students in Vietnam , 2016 .

[3]  Tillman Swinke,et al.  A unique, culture-aware, personalized learning environment , 2012, 2012 15th International Conference on Interactive Collaborative Learning (ICL).

[4]  Luis Borges Gouveia.  A BRIEF SURVEY ON COGNITIVE MAPS AS HUMANE REPRESENTATIONS , 2004 .

[5]  Gozde Bozdagi Akar,et al.  Automatic detection of learning styles for an e-learning system , 2009, Comput. Educ..

[6]  Zaidatun Tasir,et al.  Automatic Detection of Learning Styles in Learning Management Systems by Using Literature-based Method☆ , 2013 .

[7]  Philippe Trigano,et al.  Analyzing Learners' Interaction with an Educational Hypermedia System: A Focus on Learning Styles , 2008, 2008 International Symposium on Applications and the Internet.

[8]  Thair Hamtini,et al.  A proposed dynamic technique for detecting learning style using literature based approach , 2015, 2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT).

[9]  Marcelo Campo,et al.  Using Bayesian Networks to Detect Students' Learning Styles in a Web-based education system , 2005 .

[10]  Yong Se Kim,et al.  Learning Styles Diagnosis Based on User Interface Behaviors for the Customization of Learning Interfaces in an Intelligent Tutoring System , 2006, Intelligent Tutoring Systems.

[11]  Tzu-Chien Liu,et al.  Identifying Learning Styles in Learning Management Systems by Using Indications from Students' Behaviour , 2008, 2008 Eighth IEEE International Conference on Advanced Learning Technologies.

[12]  M S Hasibuan,et al.  Detecting learning style using hybrid model , 2016, 2016 IEEE Conference on e-Learning, e-Management and e-Services (IC3e).

[13]  R. Felder,et al.  Learning and Teaching Styles in Engineering Education. , 1988 .

[14]  Zulaile Mabni,et al.  A Malay Hadith translated document retrieval using parallel Latent Semantic Indexing (LSI) , 2016, 2016 Third International Conference on Information Retrieval and Knowledge Management (CAMP).

[15]  Analía Amandi,et al.  Automatic detection of learning styles: state of the art , 2014, Artificial Intelligence Review.

[16]  Adina Magda Florea,et al.  An approach for detecting learning styles in learning management systems based on learners ’ behaviours , 2022 .

[17]  Sabine Graf,et al.  AUTOMATIC STUDENT MODELLING FOR DETECTING LEARNING STYLE PREFERENCES IN LEARNING MANAGEMENT SYSTEMS * , 2007 .

[18]  Silvia Rita.  Detecting Learners ’ Profiles based on the Index of Learning Styles Data * , 2007 .

[19]  Masahito Hirakawa,et al.  A framework for adaptive learning management systems using learning styles , 2013, 2013 International Conference on Advances in ICT for Emerging Regions (ICTer).

[20]  K. Bandeen-Roche,et al.  Appendix 1 , 2019, European Journal of Human Genetics.

[21]  D. Kolb.  Experiential Learning: Experience as the Source of Learning and Development , 1983 .

[22]  Analía Amandi,et al.  A genetic algorithm approach to recognise students' learning styles , 2006, Interact. Learn. Environ..

[23]  Manal Abdullah,et al.  Learning Style Classification Based on Student's Behavior in Moodle Learning Management System , 2015 .

[24]  Paulus Insap Santosa,et al.  Student Engagement with Online Tutorial: A Perspective on Flow Theory , 2015, Int. J. Emerg. Technol. Learn..

[25]  Quang Dung PHAM,et al.  A METHOD FOR DETECTION OF LEARNING STYLES IN LEARNING MANAGEMENT SYSTEMS , 2013 .

[26]  Paulus Insap Santosa,et al.  A Proposed Model for Detecting Learning Styles Based on Agent Learning , 2016, Int. J. Emerg. Technol. Learn..

[27]  Neil D. Fleming,et al.  Not Another Inventory, Rather a Catalyst for Reflection , 1992 .