EFFECTS OF SHORT-TERM MEMORY AND CONTENT REPRESENTATION TYPE ON MOBILE LANGUAGE LEARNING

Due to the rapid advancements in mobile communication and wireless technologies, many researchers and educators have started to believe that these emerging technologies can be leveraged to support formal and informal learning opportunities. Mobile language learning can be effectively implemented by delivering learning content through mobile phones. Because the screen size of mobile phones is limited, the presentation of materials using different Learning Content Representation (LCR) types is an issue that needs to be explored. This study addresses the issue of content adaptation in mobile language learning environments. Two dimensions have been taken into consideration to identify a promising solution: instructional strategies (LCR types: written annotation and pictorial annotation), and learners’ cognitive models (verbal and visual short-term memory). Our findings show that providing learning content with pictorial annotation in a mobile language learning environment can help learners with lower verbal and higher visual ability because such learners find it easier to learn content presented in a visual rather than in a verbal form. Providing learning content with both written and pictorial annotation can also help learners with both high verbal and high visual abilities. According to the Cognitive Load Theory, providing too much information may produce a higher cognitive load and lead to irritation and a lack of concentration. Our findings also suggest that providing just the basic learning materials is more helpful to learners with low verbal and visual abilities.

[1]  Samuel Riffell,et al.  Using web-based instruction to improve large undergraduate biology courses: An evaluation of a hybrid course format , 2005, Comput. Educ..

[2]  Agr McClelland,et al.  LEVELS OF PROCESSING , 1980 .

[3]  Khalid Al-Seghayer,et al.  THE EFFECT OF MULTIMEDIA ANNOTATION MODES ON L2 VOCABULARY ACQUISITION: A COMPARATIVE STUDY , 2001 .

[4]  Richard C. Atkinson,et al.  Human Memory: A Proposed System and its Control Processes , 1968, Psychology of Learning and Motivation.

[5]  R. Clark Media will never influence learning , 1994 .

[6]  Linda Jones,et al.  TESTING L2 VOCABULARY RECOGNITION AND RECALL USING PICTORIAL AND WRITTEN TEST ITEMS , 2004 .

[7]  Leslie G. Ungerleider,et al.  An area specialized for spatial working memory in human frontal cortex. , 1998, Science.

[8]  J. MacGregor Short-term memory capacity: Limitation or optimization? , 1987 .

[9]  Mark A. McDaniel,et al.  Altering memory representations through retrieval. , 1985 .

[10]  Hahn-Ming Lee,et al.  Personalized e-learning system using Item Response Theory , 2005, Comput. Educ..

[11]  Mark Sawyer,et al.  L2 Working Memory Capacity and L2 Reading Skill , 1992, Studies in Second Language Acquisition.

[12]  Insup Taylor,et al.  Psycholinguistics: Learning and Using Language , 1990 .

[13]  A. Baddeley Working memory and language: an overview. , 2003, Journal of communication disorders.

[14]  Mike Sharples,et al.  The design of personal mobile technologies for lifelong learning , 2000, Comput. Educ..

[15]  Andrew D. Cohen,et al.  Easifying second language learning , 1981, Studies in Second Language Acquisition.

[16]  Gamel O. Wiredu The Reconstruction of Portable Computers: On the Flexibility of Mobile Computing in Mobile Activities , 2005, Designing Ubiquitous Information Environments.

[17]  J. Sweller COGNITIVE LOAD THEORY, LEARNING DIFFICULTY, AND INSTRUCTIONAL DESIGN , 1994 .

[18]  J. Fuster The Prefrontal Cortex , 1997 .

[19]  R. Mayer,et al.  For whom is a picture worth a thousand words? Extensions of a dual-coding theory of multimedia learning. , 1994 .

[20]  R. Clariana,et al.  The effects of recognition and recall study tasks with feedback in a computer-based vocabulary lesson , 2001 .

[21]  Michael Stefanone,et al.  The Effects of Wireless Computing in Collaborative Learning Environments , 2001, Int. J. Hum. Comput. Interact..

[22]  Gloria E. Miller,et al.  The keyword method compared to alternative vocabulary-learning strategies. , 1982 .

[23]  Andreas Holzinger,et al.  Mobile phones as a challenge for m-learning: examples for mobile interactive learning objects (MILOs) , 2005, Third IEEE International Conference on Pervasive Computing and Communications Workshops.

[24]  S. Abu-Rabia The Influence of Working Memory on Reading and Creative Writing Processes in a Second Language , 2003 .

[25]  Ofelia R. Nikolova Effects of Students' Participation in Authoring of Multimedia Materials on Student Acquisition of Vocabulary. , 2002 .

[26]  F. Craik,et al.  Levels of Processing in Human Memory , 1979 .

[27]  H. Spinnler The prefrontal cortex, Anatomy, physiology, and neuropsychology of the frontal lobe, J.M. Fuster. Raven Press, New York (1980), IX-222 pages , 1981 .

[28]  E. Geva,et al.  Linguistic and Cognitive Correlates of Academic Skills in First and Second Languages , 1993 .

[29]  F. Craik Levels of processing: Past, present... and future? , 2002, Memory.

[30]  S. Hsi,et al.  A study of user experiences mediated by nomadic web content in a museum , 2003, J. Comput. Assist. Learn..

[31]  Xianggui Qu,et al.  Multivariate Data Analysis , 2007, Technometrics.

[32]  Dorothy M. Chun,et al.  SUPPORTING VISUAL AND VERBAL LEARNING PREFERENCES IN A SECOND LANGUAGE MULTIMEDIA LEARNING ENVIRONMENT , 1998 .

[33]  Dorothy E. Leidner,et al.  Research Commentary: Technology-Mediated Learning - A Call for Greater Depth and Breadth of Research , 2001, Inf. Syst. Res..

[34]  G. A. Miller THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[35]  John A. Glover,et al.  The "Testing" Phenomenon: Not Gone but Nearly Forgotten , 1989 .