Engagement and Attitude in Telecollaboration: Topic and cultural background effects

Date
2019-10-17
Authors
Oskoz, Ana
Gimeno-Sanz, Ana
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University of Hawaii National Foreign Language Resource Center
University of Texas at Austin Center for Open Educational Resources and Language Learning
Volume
23
Number/Issue
3
Starting Page
136
Ending Page
160
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Abstract
This study examines the linguistic resources by which foreign language (L2) learners express their ideological positions in online discussions taking place in a telecollaborative encounter during one semester. More specifically, the study attempts to decipher how L2 learners discuss and argue their points of view regarding their first culture, their second culture, and the topic in general, depending on the issueunder discussion (immigration and nationalism or patriotism) and to the country where the learners were based (US or Spain). Twenty-four learners, organized into six groups, each with two students from the US and two from Spain, participated in three online forums. For the analysis,learners’postings were subjected to quantitative and qualitative content analysisapplying two discourse-semantic subsystems of the Appraisal framework, Engagement—the linguistic resources used to reflect the writer’s position and willingness to recognize alternative positions—and Attitude—the linguistic resources used to indicate positive or negative assessment of people, places, things, and states of affairs. This study concludes that there were clear differences in the discursive styles between both setsof learners and topics. Overall, for instance, the learners employed more monoglossic statements when discussing nationalism or patriotismrather than immigration and Spain-based learners made more use of judgment markers than their US-based counterparts did.
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Intercultural Telecollaborative Encounter, Appraisal Framework, Engagement, Attitude
Citation
Oskoz, A., & Gimeno-Sanz, A. (2019). Engagement and Attitude in Telecollaboration: Topic and cultural background effects. Language Learning & Technology, 23(3), 136–160. http://hdl.handle.net/10125/44700
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