Learning English Through the Adaptive Model of e-Learning Reflecting Learner's Sensory Characteristics

The main objective of the article is (1) to introduce the adaptive model of e-learning, which was designed by the University of Ostrava, Czech Republic, and (2) to present and discuss results of two researches conducted within the model and focusing on self-study activities reflecting learners’ sensory preferences in learning English. In both researches, data were collected by standardized English grammar tests, by VARK questionnaire and non-standardized pre-tests and post-tests. Four hypotheses were tested; two of them focusing on the role of learner’s sensory preferences, other two ones examining the support of visual and aural study materials in listening comprehension and reading comprehension. Results were not statistically significant; however, slight impact of visual materials in reading comprehension and aural materials in reading comprehension was detected.

[1]  Andrew D. Cohen,et al.  Strategies in learning and using a second language , 1998 .

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

[3]  Vladimír Bradác,et al.  Personalization of Foreign Language Education in the LMS Moodle Environment , 2015, eLEOT.

[4]  Sharon L Thompson-Schill,et al.  The Neural Correlates of Visual and Verbal Cognitive Styles , 2009, The Journal of Neuroscience.

[5]  S. Shimojo,et al.  Sensory modalities are not separate modalities: plasticity and interactions , 2001, Current Opinion in Neurobiology.

[6]  Stephen Krashen,et al.  Principles and Practice in Second Language Acquisition , 1982 .

[7]  R. Oxford,et al.  Second Language Research on Individual Differences , 1992, Annual Review of Applied Linguistics.

[8]  Glenn Fulcher,et al.  Practical Language Testing , 2010 .

[9]  B F SKINNER,et al.  Teaching Machines , 1962 .

[10]  Aleksandra Stojanova,et al.  Application of VARK learning model on “Data structures and algorithms” course , 2017, 2017 IEEE Global Engineering Education Conference (EDUCON).

[11]  K. Ecclestone,et al.  Learning styles and pedagogy in post-16 learning , 2004 .

[12]  Huong May Truong Integrating learning styles and adaptive e-learning system: Current developments, problems and opportunities , 2016, Comput. Hum. Behav..

[13]  D. Garrison E-Learning in the 21st Century , 2016 .

[14]  R. Oxford Language learning styles and strategies: Concepts and relationships , 2003 .

[15]  Vera I. Toktarova,et al.  Learning and Teaching Style Models in Pedagogical Design of Electronic Educational Environment of the University , 2015 .

[16]  Michel C. Desmarais,et al.  A Player Model for Adaptive Gamification in Learning Environments , 2015, AIED.

[17]  Robert J. Marzano,et al.  A Theory-Based Meta-Analysis of Research on Instruction. , 1998 .

[18]  Peter Brusilovsky,et al.  Adaptive Navigation Support for Open Corpus Hypermedia Systems , 2008, AH.

[19]  R. Felder,et al.  Learning and Teaching Styles In Foreign and Second Language Education , 1995 .

[20]  H. Brown,et al.  Teaching by Principles: An Interactive Approach to Language Pedagogy , 1995 .

[21]  Jeremy Harmer,et al.  How to teach English : new edition , 2007 .

[22]  R. Oxford,et al.  A brief overview of individual differences in second language learning 1 1 The content of this artic , 2003 .

[23]  Rebecca L. Oxford,et al.  LANGUAGE LEARNING STYLES AND STRATEGIES: AN OVERVIEW , 2003 .