140 likes | 264 Vues
This presentation by Joy L. Egbert, presented by Annie Graebner on May 24, 2010, provides an overview of issues in Computer-Assisted Language Learning (CALL) research. It identifies weaknesses in existing studies, emphasizing the need for a coherent understanding and rigorous approaches in this evolving field. The presentation discusses methods to enhance CALL research, highlights the importance of theoretical support, and cautions against technocentrism. By linking findings to Second Language Acquisition (SLA) theory, it aims to guide researchers in producing more effective and applicable studies.
E N D
By: Joy L. Egbert Presented by: Annie Graebner 24 May 2010 Conducting Research on CALL
Overview • Problems to be addressed • What, Why, & How of CALL research • Three weaknesses of existing studies • Suggestions • Methods & Issues • Conclusion
Problems • CALL research – scattered topics • Missing elements in field – excitement, rigor, and applicability • Lack of coherent understanding • Focused areas of research neglect other questions, methods, perspectives • Inclination to test tech, not theories
What Is CALL Research? • Central focus: language learning • Many contexts – investigation lacking • “C” in CALL – not necessarily desktop computers, can be many technologies • Different tasks – essays, distance comm. • CALL is a “language learning process”
Why Research CALL? • Initial reason vs. more recent view • Allows manipulation of tasks, environments, and outcomes • Tech gives different opportunities • No foundation for researchers & practitioners – experience is good, but rigorous research is also needed.
What & How? • Previous research – tools as focus • Better: are students learning? What, how much, how fast, why, etc. • “Brand new” language (to students), extended time periods & foundation in research about CALL • Quantitative or qualitative? Both!
Lack of Theoretical Support • Ungrounded conclusions • Generalizations • Ex: German email project • Overlooking disadvantages • Ex: Lynch, Fawcett, and Nicolson (2000) • Examples which address this weakness • Blake (2000), Li (2000)
Lack of Limitations • Does technology really enhance learning? • Need to consider negative sides • Examples of this issue: • Beauvois (1997), Lewin (2000), Motiwalla & Tello (2000), Cifuentes & Shin (2001) • Example which addresses this issue: • Sengupta (2001)
For Discussion • “There seems to be an assumption in many educational settings that the mere presence of technology—or more specifically, computers—implies learning” (p. 13) • Do you think this is a problem?
Technocentrism • Media comparison, instructional comparison, tool analysis • How it's used, rather than that it exists • Take all factors into account! • Don't try to prove that computer-assisted instruction is “better” than non-computer-assisted instruction • Interpret results with theory
Guidelines for Improvement • Link SLA theory • Adopt appropriate research design • Beware technocentrism • Provide evidence • Include discussion of negative aspects
Methods & Issues • Majority so far – quantitative • Mixed methods in a single study • Ask: which gives more accurate answers? • Aforementioned examples of problems – still potentially useful; can still direct future research (direction, ideas, models)
Conclusion • Celebrate positive findings • Be aware of research challenges/pitfalls • Look at well-executed studies • Assumptions influence results! • Analyze data with theory & evidence