ABSTRACT
In a single school year, 5,857 young Filipino students have been found to suffer from evident speech or language impairments. The Philippines has this number of children, all of whom experience a great disadvantage in learning and communication, both of which are crucial and very much needed. Speech impairment does not necessarily mean that the person cannot speak but rather finding it difficult to do so. It is a condition that can affect the academic performance of a child because of the difficulty in communicating by stuttering and such. The deaf or the hard-of-hearing (HoH) also sometimes develop this kind of impairment due to development issues. This paper concentrates on the design of a Gamified E-Tutor System that utilizes speech recognition in teaching Statistics to senior high school students with speech impairment with the help of Filipino Sign Language (FSL). The said components (gamification/speech recognition) were integrated into the system to improve the learning engagement of students with speech impairment and supplement the speech therapies they go through. By integrating gamification elements with learning strategies for students with disabilities, a speech therapist can use this system to supplement their sessions and monitor their status, as well as their progress. Through this E-Learning system, information regarding gamification elements may be extracted to help determine the most effective learning components for students with speech impairment.
- Budney, A.J., Stanger, C., Tilford, J.M., Scherer, E.B., Brown, P.C., Li, Z., Li, Z. and Walker, D.D. 2015. Computer-assisted behavioral therapy and contingency management for cannabis use disorder. Psychology of Addictive Behaviors, 29(3), p.501.Google ScholarCross Ref
- Palmer, R.E., Carrell, D.S., Cronkite, D., Saunders, K., Gross, D.E., Masters, E., Donevan, S., Hylan, T.R. and Von Kroff, M., 2015. The prevalence of problem opioid use in patients receiving chronic opioid therapy: computer-assisted review of electronic health record clinical notes. Pain, 156(7), pp.1208--1214.Google ScholarCross Ref
- Mishna, F., Khoury-Kassabri, M., Schwan, K., Wiener, J., Craig, W., Beran, T., Pepler, D. and Daciuk, J., 2016. The contribution of social support to children and adolescents' self-perception: The mediating role of bullying victimization. Children and Youth Services Review, 63, pp. 120--127.Google ScholarCross Ref
- Leo, M., Medioni, G., Trivedi, M., Kanade, T. and Farinella, G.M. 2017. Computer vision for assistive technologies. Computer Vision and Image Understanding, 154, pp. 1--15. Google ScholarDigital Library
- Shadiev, R. and Huang, Y.M. 2016. Facilitating cross-cultural understanding with learning activities supported by speech-to-text recognition and computer-aided translation. Computers & Education, 98, pp.130--141. Google ScholarDigital Library
- Park, J.H., Lee, N., Bertero, D., Dey, A. and Fung, P. 2017. Emojive! Collecting Emotion Data from Speech and Facial Expression using Mobile Game App. Proc. Interspeech, pp.827--828.Google Scholar
- Jehoshaphat, I.K., Taylor, N. and Zantout, H. 2015. An Analysis of Currency of Computer Science Student Dissertation Topics in Higher Education. In International Conference on Computer Science Education Innovation & Technology (CSEIT). Proceedings Global Science and Technology Forum, p. 148.Google Scholar
- Jensen, M.L., Lee, Y.H., Piercy, C.W., Dunbar, N.E., Elizondo, J., Bessarabova, E., Twyman, N.W., Burgoon, J.K., Valacich, J.S., Adame, B. and Miller, C. 2016. Exploring failure and engagement in a complex digital training game: a multi-method examination. AIS Transactions on Human-Computer Interaction, 8(1), pp.1--20.Google ScholarCross Ref
- Wang, L., Tong, R., Leung, C.C., Sivadas, S., Ni, C. and Ma, B. 2017. Cloud-based Automatic Speech Recognition Systems for Southeast Asian Languages. In IEEE Orange Technologies (ICOT), 2017 International Conference on (pp. 147--150). DOI= 8331062/8336072/08336109.Google Scholar
- Ramachandran, M. 2016, August. Best Practice Guidelines for Technology Enhanced E-Learning. In 2016 9th IEEE.International Conference on Developments in eSystems Engineering (DeSE), pp. 191--196.Google Scholar
- Tóth, Á. and Tóvölgyi, S. 2016. The introduction of gamification: A review paper about the applied gamification in the smartphone applications. In 2016 7th IEEE International Conference on Cognitive Infocommunications (CogInfoCom), pp. 000213--000218.Google Scholar
- Balbin, J.R., Padilla, D.A., Caluyo, F.S., Fausto, J.C., Hortinela, C.C., Manlises, C.O., Bernardino, C.K.S., Fiñones, E.G. and Ventura, L.T. 2016. Sign language word translator using Neural Networks for the Aurally Impaired as a tool for communication. In 2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), pp. 425--429.Google Scholar
- Lian, A. 2016. The Modality-Independent Capacity of Language: A Milestone of Evolution. In Language Evolution and Developmental Impairments (pp. 229--255). Palgrave Macmillan, London.Google Scholar
- Hendradjaya, B. 2014. The application model of learning management system quality in asynchronous blended learning system. In 2014 IEEE International Conference on Electrical Engineering and Computer Science (ICEECS), pp. 223--228.Google Scholar
- Duffield, S. and Whitty, S.J. 2015. Developing a systemic lessons learned knowledge model for organizational learning through projects. International journal of project management, 33(2), pp.311324.Google Scholar
Index Terms
- Assistive gamification and speech recognition E-tutor system for speech impaired students
Recommendations
Assistive Mobile App for Children with Hearing & Speech Impairment Using Character and Speech Recognition
ICIBE '18: Proceedings of the 4th International Conference on Industrial and Business EngineeringNinety-seven (97%) of children with disabilities (CWDs) are still unreached by the public school system in the Philippines. This means that only a small portion has access to special education despite having a national law that mandates inclusivity of ...
Speech recognition and Filipino sign language E-tutor system: an assistive multimodal learning approach
ICIGP '19: Proceedings of the 2nd International Conference on Image and Graphics ProcessingSpeech recognition technology facilitates student learning. It has potential benefits for students with physical disabilities and the technology has been implemented in the classroom over the years in order to learn in a more efficient way. This study ...
Using Online Handwritten Character Recognition in Assistive Tool for Students with Hearing and Speech Impairment
IC4E '20: Proceedings of the 2020 11th International Conference on E-Education, E-Business, E-Management, and E-LearningStudents with hearing and speech impairment are approximately two years behind school due to their disability and the lack of research, few resources and documented practices on the aforementioned conditions that may provide guidance for classroom ...
Comments