Cognitive-Behaviour Intervention in Developing an Adaptive Learning Model for Students with Dyslexia

  • Authors

    • Siti Suhaila Abdul Hamid
    • Novia Admodisastro
    • Abdul Azim Abd. Ghani
    • Azrina Kamaruddin
    • Noridayu Manshor
    2018-12-09
    https://doi.org/10.14419/ijet.v7i4.31.23362
  • Cognitive, Behaviour, Intervention, Dyslexia, Adaptive, Learning Model.

  • Abstract

    Cognitive-Behaviour Intervention (CBI) is designed as a suitable intervention for students by identifying cognitive as well as behaviour conditions. Through CBI, the students' learning goals are easier to establish, and the skills related to particular conditions can be developed. Current dyslexia’s learning interventions were mostly developed to tackle cognitive or behaviour conditions separately. Whereas, the students with dyslexia suffer from cognitive deficiencies as well as behaviour challenges, both the conditions are interrelatedly. As a result, students with dyslexia reportedly underperform, lazy, ignorance and stupid due to the inappropriate learning style. In addition, there are very limited works that allow for adaptability in addressing the dynamic states of the student's learning process such as engagement. A study has shown that students’ engagement could be a predictor of good academic performance. Therefore, in this paper, we present the approach to combine both cognitive and behaviour conditions of the students with dyslexia as well as the intervention in our proposed adaptive learning model. The cognitive model senses the student’s difficulties through exercise given while the behaviour model utilises the machine learning model to address the engagement states of the students. Finally, the model intervene by praising effort, hints and changing activity based on the student’s state. The results showed that a promising new way to assists students with dyslexia in their learning.

     

  • References

    1. [1] Mennuti R, Arthur F. & Ray W.C (2005), Cognitive-Behavioural Intervention in Educational Settings: A Handbook for Practice.

      [2] Lyon G. R., Shaywitz S. E., & Shaywitz B. A. (2003), Defining Dyslexia , Comorbidity , Teachers ’ Knowledge of Language and Reading, Annals of Dyslexia, vol. 53, no. 1, pp. 1–14.

      [3] Shaywitz S. E. & Shaywitz B. A. (2005), Dyslexia (specific reading disability), Biol. Psychiatry, vol. 57, no. 11, pp. 1301–1309,

      [4] Sahari S. H. & Johari A. (2012), Improvising Reading Classes and Classroom Environment for Children with Reading Difficulties and Dyslexia Symptoms, Asia Pacific International Conference on Environment-Behaviour Studies, vol. 38, pp. 100–107.

      [5] Rello L., Bayarri C., Otal Y., & M. Pielot (2014), A computer-based method to improve the spelling of children with dyslexia, Proceedings of the 16th international ACM SIGACCESS conference on Computers & accessibility - ASSETS ’14, pp. 153–160.

      [6] M. R. U. Saputra (2015), LexiPal: Design, Implementation and Evaluation of Gamification on Learning Application for Dyslexia, Int. J. Comput. Appl., vol. 131, no. 7, pp. 37–43.

      [7] Abdullah M. H. L., Hisham S. & Parumo S. (2009), MyLexics : An Assistive Courseware for Dyslexic Children to Learn Basic Malay Language, SIGACCESS Newsletter Issue 95, no. 95, pp. 3–9.

      [8] Gooch D., Vasalou A., Benton L. & R. Khaled (2016), Using Gamification to Motivate Students with Dyslexia, Proc. CHI Conf. Hum. Factors Comput. Syst. - CHI ’16, no. May, pp. 969–980.

      [9] Rello L., Ballesteros M. & Bigham J. P. (2015), A Spellchecker for Dyslexia, ASSETS 2015: The 17th International ACM SIGACCESS Conference of Computers and Accessibility., pp. 39–47.

      [10] Siti Z. A., Nik N. A.A. N. L., Hawa M. E., Arifah F. R., & I. Mohd Hafiz (2012), Bijak Membaca - Applying Phonic Reading Technique and Multisensory Approach with interactive multimedia for dyslexia children, in CHUSER 2012 - 2012 IEEE Colloquium on Humanities, Science and Engineering Research, no. Chuser, pp. 554–559.

      [11] Daud S. M. & Abas H. (2013), Dyslexia baca’ mobile app - The learning ecosystem for dyslexic children, Proceedings - 2013 International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013, pp. 412–416.

      [12] Husni H. & Jamaludin Z. (2015), BacaMAX: Addressing visual deficit to facilitate reading for dyslexic children, ARPN J. Eng. Appl. Sci., vol. 10, no. 3, pp. 1421–1426.

      [13] Ronimus M., Kujala J., Tolvanen A. & Lyytinen H. (2014), Children’s engagement during digital game-based learning of reading: The effects of time, rewards, and challenge, Comput. Educ., vol. 71, pp. 237–246.

      [14] D’Mello S., Olney A., Williams C. & Hays P. (2012), Gaze tutor: A gaze-reactive intelligent tutoring system, Int. J. Hum. Comput. Stud., vol. 70, no. 5, pp. 377–398.

      [15] Hernandez J.,. Liu Z, Hulten G.& Debarr D. (2013), Measuring the Engagement Level of TV Viewers, Automatic Face and Gesture Recognition (FG), 2013 10th IEEE International Conference and Workshops.

      [16] Dyslexia International (2014), Dyslexia ’ s Impact, Dyslexia International. pp. 1–16.

      [17] US Government Information (2016), Public Law 114–114 114th Congress An Act. pp. 3129–3130.

      [18] Oga C. & Haron F. (2012), Life Experiences of Individuals Living with Dyslexia in Malaysia: A Phenomenological Study, Procedia - Soc. Behav. Sci., vol. 46, pp. 1129–1133.

      [19] Malaysia Ministry of Education (2016), Garis panduan pentadbiran saringan linus pendidikan khas. Special Education Section, pp. 1–116.

      [20] Usha Goswami (2015), Children’s cognitive development and learning.

      [21] Harris C. L. (2003), Language and cognition, Encycl. Cogn. Sci., pp. 15–31..

      [22] Mejía C., Díaz A., Jiménez J. E., & Fabregat R. (2011), Considering cognitive traits of university students with dyslexia in the context of a learning management system, International Conference on Foundations of Augmented Cognition, pp. 432–441.

      [23] Rice M.& Brooks G. (2004), Developmental dyslexia in adults: a research review.

      [24] Shaywitz S. E. (1996), Dyslexia, Sci. Am., vol. 275, no. 5, pp. 98–104.

      [25] Zaliza Z., Mahfuzah M. D., & Ahmad H. R. (2003), Disleksia Dalam Aspek Ejaan Bacaan Bahasa Melayu.

      [26] Subramaniam V. & Che Mat N. H. (2013), The Mastery of the 3m among Dyslexia Children based on the Revised Dyslexia List Instrument Screening Test, Glob. J. Hum. Soc. Sci. Linguist. Educ., vol. 13, no. 14.

      [27] Munro J. (1995), Explaining developmental dyslexia : Orthographic processing difficulties, Aust. J. Remedial Educ., vol. 27, no. 1, pp. 5–15.

      [28] Milne R. D., Nicholson T. &Corballis M. C. (2003), “Lexical access and phonological decoding in adult dyslexic subtypes,†Neuropsychology, vol. 17, no. 3, pp. 362–368.

      [29] Thomson J. M., Leong V. & Goswami U. (2013), Auditory processing interventions and developmental dyslexia: A comparison of phonemic and rhythmic approaches, Read. Writ., vol. 26, no. 2, pp. 139–161.

      [30] Bourassa D. & Treiman R. (2003), Spelling in Children With Dyslexia: Analyses From the Treiman-Bourassa Early Spelling Test, Sci. Stud. Read., vol. 7, no. 4, pp. 309–333.

      [31] Pardos Z. A., Baker R. S. J. d., San Pedro M. O. C. Z., Gowda S. M. & Gowda S. M. (2014), Affective States and State Tests: Investigating How Affect and Engagement during the School Year Predict End-of-Year Learning Outcomes, J. Learn. Anal., vol. 1, no. 1, pp. 107–128.

      [32] Rief F. S. & Stern M. J. (2010), The Dyslexia Checklist: A Practical Reference for Parents and Teachers. Jossey-Bass.

      [33] Cuschieri T., Khaled R., Farrugia V. E., Mart P., and Yannakakis G. N. (2014), The iLearnRW Game : Support for Students with Dyslexia in Class and at Home, In Games and Virtual Worlds for Serious Applications in IEEE, pp. 1–2.

      [34] A. Q. Li (2013), PoliSpell: An adaptive spellchecker and predictor for people with dyslexia,†in 21th International Conference, UMAP 2013, Rome, Italy, June 10-14 Proceedings, 2013, vol. 7899 LNCS, pp. 302–309.

      [35] Rekha S., Gollapudi S., Sampath H. & Indurkhya B. (2013), Read-aid - An assistive reading tool for children with Dyslexia, International Conference on Universal Access in Human-Computer Interaction, pp. 297–304.

      [36] Arroyo I., Woolf B. P., Burelson W., Muldner K., Rai D.& Tai M. (2014), A Multimedia Adaptive Tutoring System for Mathematics that Addresses Cognition, Metacognition and Affect, Int. J. Artif. Intell. Educ., vol. 24, no. 4, pp. 387–426.

      [37] Whitehill J., Serpell Z., Yi C. L. Y.-C., A. Foster & J. R. Movellan (2014), The Faces of Engagement: Automatic Recognition of Student Engagementfrom Facial Expressions, IEEE Trans. Affect. Comput., vol. 5, no. 1, pp. 86–98.

      [38] Mitchell T. M. (2006), The Discipline of Machine Learning, Machine Learning Department, vol. 17, no. July. School of Computer Science Carnegie Mellon University Pittsburgh, pp. 1–7.

      [39] Abdelkhalak B. & Zouaki H. (2013), Surf-Color Moments for Image Retrieval Based on Bag-of-Features, Eur. J. Comput. Sci. Inf. Technol., vol. 1, no. 1, pp. 11–22.

      [40] Rothacker L. (2011), Learning Bag of Features Representations for Handwriting Recognition,†Universität Dortmund.

      [41] Nasirahmadi A. & Miraei A. S. H. (2017), Bag-of-Feature model for sweet and bitter almond classification, Biosyst. Eng., vol. 156, pp. 51–60.

      [42] Ahn S. J., Bailenson J., Fox J. & Jabon M. (2003), “Using automated facial expression analysis for emotion and behavior prediction,†in Handbook of Emotions and Mass Media, pp. 349–369.

      [43] Dich N. & Cohn A. C. (2013), A review of spelling acquisition: Spelling development as a source of evidence for the psychological reality of the phoneme, Lingua, vol. 133, pp. 213–229.

      [44] O’Hara S. & Draper B. A. (2011), Introduction to the Bag of Features Paradigm for Image Classification and Retrieval, arXiv preprint arXiv:1101.3354 , July, pp. 1–25.

      [45] Chih W. H., Chih C. C. & Chi J. L. (2008), A Practical Guide to Support Vector Classification.

      [46] Tobergte D. R. & Curtis S. (2013), A Manual of Cognitive Behaviour Therapy for People with Learning Disabilities and Common Mental Disorders, J. Chem. Inf. Model., vol. 53, no. 9, pp. 1689–1699.

      [47] Tan L., Sun X. & Khoo S. T. (2014), Can engagement be compared? Measuring academic engagement for comparison, Proceedings of the 7th International Conference on Educational Data Mining (EDM), pp. 213–216.

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  • How to Cite

    Suhaila Abdul Hamid, S., Admodisastro, N., Azim Abd. Ghani, A., Kamaruddin, A., & Manshor, N. (2018). Cognitive-Behaviour Intervention in Developing an Adaptive Learning Model for Students with Dyslexia. International Journal of Engineering & Technology, 7(4.31), 175-181. https://doi.org/10.14419/ijet.v7i4.31.23362

    Received date: 2018-12-07

    Accepted date: 2018-12-07

    Published date: 2018-12-09