Enhanced Learning with Abacus and its Analysis Using BCI Technology

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Author(s)

Geeta N. 1,* Rahul Dasharath Gavas 1

1. Department of Computer Science & Engg, KLE Dr. M.S.Sheshagiri CET, Udyambag, Belgaum-590008, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijmecs.2014.09.04

Received: 15 Jun. 2014 / Revised: 20 Jul. 2014 / Accepted: 10 Aug. 2014 / Published: 8 Sep. 2014

Index Terms

EEG, BCI, attention, abacus, cognition

Abstract

Although technology is successfully being used these days as a tool to improve education at all levels, its improper usage is curbing the imagination of the student community, leading to a diminution in their thinking capacity and ability to focus and concentrate. As attention is a vital cognitive feature of any learning process, students these days are not coping well with this process. This study attempts to analyse the focusing capacity of students from two different backgrounds; students who have undergone training in mental arithmetic and usage of the abacus and students without any formal mental arithmetic training. The analysis is done through a simple Electroencephalogram (EEG) based gaming software, which measures the time needed for the players to focus and reach a specific attention level. An EEG device measures brain invoked potentials. Due to the availability of low cost commercial grade EEG devices, usage of these devices today, is not confined only to research and clinical purposes, but is being used beyond these applications. This study is an attempt to apply Brain Computer Interface (BCI) Technology to assess cognition. The performance of the first category was found to be better than the second set of students.

Cite This Paper

Geeta N., Rahul Dasharath Gavas, "Enhanced Learning with Abacus and its Analysis Using BCI Technology", International Journal of Modern Education and Computer Science (IJMECS), vol.6, no.9, pp. 22-27, 2014. DOI:10.5815/ijmecs.2014.09.04

Reference

[1]Benton,D.(2001),“Micro-nutrient supplementation and the intelligence of children”, Volume 25, Issue 4, June 2001, Pages 297–309, Elsevier.
[2]Ceci, S. J. (1991), “How much does schooling influence general intelligence and its cognitive components?”, A reassessment of the evidence. Developmental Psychology, 27, 703–722. doi: 10.1037/0012-1649.27.5.703
[3]Paul Irwing, Alya Hamza, Omar Khaleefa, Richard Lynn, “Effects of Abacus training on the intelligence of Sudanese children”, Personality and Individual Differences 45(2008)694–696, Elsevier. doi:10.1016/j.paid.2008.06.011.
[4]Henry L. Roediger III, Mary A. Pyc, “Inexpensive techniques to improve education: Applying cognitive psychology to enhance educational practice”, Journal of Applied Research in Memory and Cognition 1 (2012) 242 248, Elsevier. doi: 10.1016/j.jarmac.2012.09.002.
[5]Mary Hegarty, “Dynamic visualizations and learning: getting to the difficult questions”, Learning and Instruction 14(2004)343–351, Elsevier. doi:10.1016/j.learninstruc.2004.06.007.
[6]Bernard Scott, “Gordon Pask’s Conversation Theory: A Domain Independent Constructivist Model of Human Knowing”, Foundations of Science, special issue on "The Impact of Radical Constructivism on Science",edited by A. Riegler, 2001, vol. 6, no.4: 343–360.
[7]Mariyamni Awang, Balbir Singh, Iskandar Dzulkarnain, “An Analysis of the Relationship between Effective Teaching and Effective Learning at UTP”, Procedia - Social and Behavioral Sciences 56 (2012) 594 – 601, Elsevier. doi: 10.1016/j.sbspro.2012.09.693.
[8]DILLENBOURG, P., BAKER, M., BLAYE, A. & O'MALLEY, C., “The evolution of research on collaborative learning”, In E. Spada & P. Reiman (Eds) Learning in Humans and Machine: Towards an interdisciplinary learning science. (Pp. 189-211). Oxford: Elsevier.
[9]Orazio Miglino, Alberto Venditti, Alessandra Delli Veneri, Andrea Di Ferdinando, “Eutopia-Mt. teaching mediation skills using multiplayer on-line role playing games”, Procedia Social and Behavioral Sciences 2 (2010) 2469–2472, Elsevier. doi:10.1016/j.sbspro.2010.03.355.
[10]Thomas, Kavitha P Vinod, A.P.; Guan, Cuntai, “Design of an online EEG based neurofeedback game for enhancing attention and memory”, Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE. doi: 10.1109/EMBC.2013.6609529.
[11]Das, S., Dhande, A.P. ; Bhoi, M., “Leveraging Virtual Classroom for effective learning”, Technology for Education (T4E), 2010 International Conference, IEEE. doi: 10.1109/T4E.2010.5550051.
[12]Stigler, J.W., 1984. “Mental abacus:” the efects of abacus training on Chinese children’s mental calculation”, Cogn. Psychol. 16, 145–176. doi: 10.1016/0010-0285(84)90006-9
[13]Available at store.neurosky.com/products/mindwave-mobile.
[14]Qiang Wang, Olga Sourina, and Minh Khoa Nguyen, “EEG-based “Serious” Games Design for Medical Applications”,2010 International Conference on Cyberworlds, IEEE doi: 10.1109/CW.2010.56.
[15]Jonathan R. Wolpaw, et.al., “Brain–Computer Interface Technology: A Review of the First International Meeting”, IEEE TRANSACTIONS ON REHABILITATION ENGINEERING, VOL. 8, NO. 2, JUNE 2000. doi=10.1.1.331.2636.
[16]Gerwin Schalk, et.al., “BCI2000: A General-Purpose Brain-Computer”, IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 51, NO. 6, JUNE 2004.
[17]Anderson John R. (2004) Cognitive psychology and its implications (6th ed) Worth Publishers. P.159 ISBN 978-0-7-167-0110-1.
[18]Fred Travis, Jonathan Shear, “Focused attention, open monitoring and automatic self -transcending: Categories to organize meditations from Vedic, Buddhist and Chinese traditions”, Consciousness and Cognition xxx (2010) xxx–xxx, Elsevier.
[19]Georgios Patsis, Hichem Sahli, Werner Verhelst, Olga De Troyer, “Evaluation of Attention Levels in A Tetris Game Using a Brain Computer Interface”, User Modeling, Adaptation, and Personalization Lecture Notes in Computer Science Volume 7899, 2013, pp 127-138, Springer Link. doi: 10.1007/978-3-642-38844-6_11.
[20]Zhijiang Wan, Jian He, Alicia Voisine, “An Attention Level Monitoring and Alarming System for the Driver Fatigue in the Pervasive Environment”, Brain and Health Informatics Lecture Notes in Computer Science Volume 8211, 2013, pp 287-296, Springer Link. doi: 10.1007/978-3-319-02753-1_29.
[21]Suzanne E. Hidi, “A reexamination of the role of attention in learning from text”, Educational Psychology Review December 1995, Volume 7, Issue 4, pp 323-350, Springer Link. doi: 10.1007/BF02212306.
[22]Theeuwes J. (1991) Exogenous and Endogenous control of attention – the effect of visual onsets and offsets. Perception and Psychophysics 49(1): 83 – 90.
[23]Posner, M. I. & Petersen, S. E. (1990) The attention system of the human brain. Annual Review of Neuroscience 13: 25–42. doi: 10.1146/annurev.ne.13.030190.000325
[24]Posner, M.I. & Rothbart, M.K. Attention, self-regulation and consciousness. Phil. Trans. R. Soc. Lond. B (1998) 353, 1915–1927
[25]Posner, M. I. (1980) Orienting of attention. Quarterly Journal of Experimental Psychology 32(FEB): 3–25. doi: 10.1080/00335558008248231
[26]“Analysis of Youngsters’ Media Multitasking Behaviors and Effect on Learning”, International Journal of Multimedia and Ubiquitous Engineering Vol. 8, No. 4, July, 2013
[27]Margaret W. Matlin (2013). Cognition (Textbook) (8 ed.). Wiley. ISBN 978-1-118-14896-9.
[28]Kaiser J. Lutzenberger W (2003) “Induced gamma- band activity and human brain function’ Neuroscientist 9 (6): 475-84. doi:10. 1177/1073858403259 137. PMID 14678580.
[29]YI, Fang, Hao LI, and Xiaojie JIN. "Improved Classification Methods for Brain Computer Interface System." March 2012 in MECS, doi: 10.5815/ijcnis.2012.02.03
[30]Abbas Pourhosein Gilakjani, “A Match or Mismatch Between Learning Styles of the Learners and Teaching Styles of the Teachers”, I.J.Modern Education and Computer Science, 2012, 11, 51-60. doi: 10.5815/ijmecs.2012.11.05.