Surveying and Modeling Students' Motivation and Learning Strategies for Mobile-Assisted Seamless Chinese Language Learning

Introduction In recent years, language learning scholars (e.g., Little, 2007; Tedick & Walker, 1995) have become cognizant of the limitations of classroom-only language learning. Salient criticisms of classroom-only language learning include decontextualization of the learning material and processes, and the lack of autonomous learning and authentic social interactions. These issues typically undermine learners' holistic language development, especially for real-life interactions. In turn, there is an emerging consensus that the language learning process could be extended beyond the classroom, and that learners could be provided with opportunities to use the target language meaningfully and extensively in their daily life (Benson, 2013; Canagarajah & Wurr, 2011). The advancement of mobile technologies could potentially address the aforementioned problems that bedevil classroom-only language learning. Mobile technologies offer pedagogical affordances that educators can leverage to promote meaningful learning among learners, both inside and out of the classroom. The most salient pedagogical affordance of mobile devices is that they allow learning to happen in the real world, which contributes to the authenticity of the learning and situated meaning making (Pachler, 2010). Armed with their mobile devices, learners can actively construct digital artifacts whenever and wherever they have the intention to learn. Subsequently, they can upload the constructed artifacts for sharing, peer critiquing and coconstruction, thereby making learning more collaborative. Researchers have characterized this form of learning wherein there is 24/7 access to at least one mobile device (1:1) as seamless learning (Chan et al., 2006). Since 2006, emerging designs of seamless learning that aim to create holistic and perpetual learning experiences have been reported. Formal and informal learning, individual and social, and physical and digital spaces are thus woven together with the mediation of mobile technologies (Wong & Looi, 2011; Wong, Milrad, & Specht, 2015). Among the 40 seamless learning projects identified in a recent review (Wong, Chai, & Aw, 2015), ten projects were dedicated to the design of language learning tasks in multiple settings. Despite the emergence of studies on seamless language learning (SLL), few researchers have explicitly examined the role of motivation and learning strategies in SLL. This is an important gap given that the likelihood of success in any learning activity is largely determined by students' motivation and learning strategies (Weinstein, Husman, & Dierking, 2000). This lack of research is partly due to the lack of appropriate measures of motivation in technologyenhanced learning environments, as well as the lack of instruments to measure the relevant learning strategies that students use when they are engaged in seamless learning. Furthermore, most SLL studies reported to date have been limited by small sample sizes (e.g., Ogata et al., 2008; Wei, 2012). Students' perceptions of and strategies for SLL offer valuable data that can allow researchers to assess the efficacy of their designed activities, and that can be used for further refinement of the learning designs. In addition, how students' motivation contributes to SLL activities is also a crucial issue to consider, especially in second language acquisition (SLA) settings. Student-centered learning design is associated with learners' motivation and autonomy (self-directedness) to learn. This research therefore aims to address the stated gap by developing and validating an instrument, namely, the Mobile-Assisted Seamless Chinese Language learning Questionnaire (MSCLQ), to measure students' motivation and perceptions of strategies for seamless Chinese language learning through confirmatory factor analyses. Although the current questionnaire was focused on Chinese language learning, we believe that the instrument can easily be adapted for use with other languages. …

[1]  Ronnel B. King,et al.  Culture's Consequences on Student Motivation: Capturing Cross-Cultural Universality and Variability Through Personal Investment Theory , 2014 .

[2]  A. Bakker,et al.  Suppressor Variables in Path Models , 2001 .

[3]  Phil Benson,et al.  Teaching and Researching: Autonomy in Language Learning , 2001 .

[4]  Timothy Teo,et al.  Evaluation of implementation of the IT Masterplan 3 and its impact on Singapore schools: instrumentation and baseline study , 2011 .

[5]  A. Canagarajah,et al.  Multilingual Communication and Language Acquisition: New Research Directions. , 2011 .

[6]  M. van Ast,et al.  MEANINGFUL LEARNING WITH TECHNOLOGY , 2014 .

[7]  Jan Herrington,et al.  Design principles for mobile learning , 2009 .

[8]  Lung-Hsiang Wong,et al.  Students' Personal and Social Meaning Making in a Chinese Idiom Mobile Learning Environment , 2010, J. Educ. Technol. Soc..

[9]  Ronnel B. King Examining the dimensional structure and nomological network of achievement goals in the Philippines. , 2015, Journal of adolescence.

[10]  P. Pintrich,et al.  Motivation in Education: Theory, Research, and Applications , 1995 .

[11]  C. Weinstein,et al.  Self-Regulation Interventions with a Focus on Learning Strategies , 2000 .

[12]  R. Darlington,et al.  Multiple regression in psychological research and practice. , 1968, Psychological bulletin.

[13]  L. Wong,et al.  MyCLOUD: A Seamless Chinese Vocabulary-Learning Experience Mediated by Cloud and Mobile Technologies , 2016 .

[14]  Hiroaki Ogata,et al.  LOCH: supporting mobile language learning outside classrooms , 2008, Int. J. Mob. Learn. Organisation.

[15]  Aneta Pavlenko,et al.  The bilingual mental lexicon : interdisciplinary approaches , 2009 .

[16]  R. Ellis Task-based research and language pedagogy , 2000 .

[17]  R. C. Gardner,et al.  Attitudes, Motivation, and Second Language Learning: A Meta‐Analysis of Studies Conducted by Gardner and Associates , 2003 .

[18]  Joke Voogt Teacher factors associated with innovative curriculum goals and pedagogical practices: differences between extensive and non-extensive ICT-using science teachers , 2010, J. Comput. Assist. Learn..

[19]  P. Kirschner,et al.  Social Aspects of CSCL Environments: A Research Framework , 2013 .

[20]  Lung-Hsiang Wong,et al.  What Seams Do We Remove in Learning a Language?-Towards a Seamless Language Learning Framework , 2016, Seamless Learning in the Age of Mobile Connectivity.

[21]  C. Chai,et al.  Measuring Singaporean Students’ Motivation and Strategies of Bilingual Learning , 2013 .

[22]  Marcelo Milrad,et al.  Seamless Learning in the Age of Mobile Connectivity , 2015 .

[23]  Li Wei,et al.  Construction of Seamless English Language Learning Cyberspace via Interactive Text Messaging Tool , 2012 .

[24]  P. Pintrich A Motivational Science Perspective on the Role of Student Motivation in Learning and Teaching Contexts. , 2003 .

[25]  Marina Nehme,et al.  E-Learning and Students’ Motivation , 2010 .

[26]  William Elliott,et al.  Suppressor Variables in Social Work Research: Ways to Identify in Multiple Regression Models , 2010, Journal of the Society for Social Work and Research.

[27]  Diane J. Tedick,et al.  From Theory to Practice: How Do We Prepare Teachers for Second Language Classrooms? , 1995 .

[28]  Marco Kalz,et al.  RTST Trend Report: lead theme Contextualisation , 2012 .

[29]  W. McKeachie,et al.  The Making of the Motivated Strategies for Learning Questionnaire , 2005 .

[30]  P. Pintrich A Conceptual Framework for Assessing Motivation and Self-Regulated Learning in College Students , 2004 .

[31]  Alaa Sadik Digital storytelling: a meaningful technology-integrated approach for engaged student learning , 2008 .

[32]  G. Ocak,et al.  Examination of the Relationships between Fifth Graders' Self-Regulated Learning Strategies, Motivational Beliefs, Attitudes, and Achievement. , 2013 .

[33]  P. Pintrich A Manual for the Use of the Motivated Strategies for Learning Questionnaire (MSLQ). , 1991 .

[34]  Jennifer Betsy Redd,et al.  Supporting vocabulary growth of high school students: An analysis of the potential of a mobile learning device and gaming app , 2011 .

[35]  Heinz Ulrich Hoppe,et al.  One-to-One Technology-Enhanced Learning: an Opportunity for Global Research Collaboration , 2006, Res. Pract. Technol. Enhanc. Learn..

[36]  J. Hair Multivariate data analysis : a global perspective , 2010 .

[37]  David Little,et al.  Language Learner Autonomy: Some Fundamental Considerations Revisited , 2007 .

[38]  Li Wei,et al.  Construction of Seamless English Language Learning Cyberspace via Interactive Text Messaging Tool , 2012 .

[39]  Stephen B. Plank,et al.  Pressures of the Season: A Descriptive Look at Classroom Quality in Second and Third Grade Classrooms. , 2011 .

[40]  Nina Spada,et al.  语言学习机制=How languages are learned , 1995 .

[41]  Cheng-Cheng Yang,et al.  Teaching Practice and Cultural Difference of an English as Foreign Language Classroom in Taiwan. , 2012 .

[42]  N. Pachler The Socio-Cultural Ecological Approach to Mobile Learning: An Overview , 2010 .

[43]  Elizabeth Koh,et al.  A SNAPSHOT APPROACH OF A SMARTPHONE-ENABLED IMPLEMENTATION , 2013 .

[44]  Lung-Hsiang Wong,et al.  Analysis of Students' After-School Mobile-Assisted Artifact Creation Processes in a Seamless Language Learning Environment , 2013, J. Educ. Technol. Soc..

[45]  C. Chai,et al.  Where Research, Practice and the Authority Meet: A Collaborative Inquiry for Development of Technology-Enhanced Chinese Language Curricula , 2011 .

[46]  A. J. Conger A Revised Definition for Suppressor Variables: a Guide To Their Identification and Interpretation , 1974 .

[47]  Lung-Hsiang Wong,et al.  What seams do we remove in mobile-assisted seamless learning? A critical review of the literature , 2011, Comput. Educ..