Contributions of Tracking User Behavior to SLA Research

This commentary discusses how tracking user behavior in CALL environments can contribute to SLA research.  Despite the fact that data documenting what learners actually do in CALL activities can provide valuable insights into both second language acquisition and pedagogical design, a surprisingly large proportion of CALL studies do not report on tracking data.  Key benefits of collecting and analyzing such data include ascertaining precisely what learners do or do not do and determining whether there is a relationship to learning; documenting the L2 learning process ; and providing guidance to learners about how best to use CALL materials for SLA.  Common reasons for not incorporating such analyses are the sheer quantity of available data and the time required to process and analyze them. For the future, as it becomes easier and to some extent automatic to collect such data, the challenge will be to refine data mining tools so that meaningful information and patterns can be discerned.  This information will provide a more complete picture of how L2 learning transpires.

[1]  Trude Heift,et al.  Drag or Type, But Don’t Click: A Study on the Effectiveness of Different CALL Exercise Types , 2003 .

[2]  Ron Howard,et al.  Lotus ScreenCam as an Aid to Investigating Student Writing , 2001 .

[3]  Trude Heift,et al.  Learner Control and Error Correction in ICALL: Browsers, Peekers, and Adamants , 2013 .

[4]  Bryan Smith,et al.  Eye tracking as a measure of noticing: A study of explicit recasts in SCMC , 2012 .

[5]  M. Warschauer Sociocultural Perspectives on CALL , 2006 .

[6]  Dorothy M. Chun,et al.  Effects of Multimedia Annotations on Vocabulary Acquisition , 1996 .

[7]  Bryan Smith,et al.  Methodological Hurdles in Capturing CMC Data: The Case of the Missing Self-Repair. , 2008 .

[8]  Steven L. Thor Artifacts and Cultures-of-use in Intercultural Communication , 2003 .

[9]  Larry Johnson,et al.  The NMC Horizon Report: 2012 Higher Education Edition. , 2012 .

[10]  Steven L. Thorne,et al.  Second language development theories and technology-mediated language learning , 2011 .

[11]  Fenfang Hwu Learners’ Behaviors in Computer-Based Input Activities Elicited Through Tracking Technologies , 2003 .

[12]  Susan Kesner Bland,et al.  The Naive Lexical Hypothesis: Evidence from Computer-Assisted Language Learning. , 1990 .

[13]  Robert Fischer,et al.  The Libra Multimedia Authoring Environment and CALL Multimedia Courseware , 2013 .

[14]  Robert A. Fischer How do we Know what Students are Actually Doing? Monitoring Students' Behavior in CALL , 2007 .

[15]  Dorothy M. Chun L2 Reading on the Web: Strategies for Accessing Information in Hypermedia , 2001 .

[16]  R. Fischer Diversity in learner usage patterns , 2012 .