Computer-Assisted Language Learning 2012
DOI: 10.1017/cbo9781139060981.003
|View full text |Cite
|
Sign up to set email alerts
|

Diversity in learner training

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
14
0

Year Published

2013
2013
2019
2019

Publication Types

Select...
4
4
1

Relationship

1
8

Authors

Journals

citations
Cited by 17 publications
(14 citation statements)
references
References 0 publications
0
14
0
Order By: Relevance
“…Useful features would include access to academic and discipline specific written and spoken language corpora, corpus and computational linguistic tools such as collocations and frequency lists, data driven learning activities (e.g., Johns, 1991;Boulton, 2009), and intelligent computer-assisted language learning (ICALL) tools (Heift, 2010a(Heift, , 2010bHeift & Schulze, 2007;Schulze, 2008). Importantly, students would benefit from orientation to productive use of such tools and thus online tutorials as well as hands-on workshop orientations would be designed (Hubbard & Romeo, 2012). Lastly, building in learning analytics to track user behaviors, in combination with other assessment measures, would provide the data necessary to empirically document diverse usage patterns, their correlations with successful completion of LIKE portfolios, and to support innovation-process research that would iteratively improve the design of the eportfolio environment (Fischer, 2007(Fischer, , 2012.…”
Section: Rationale and Existing Resourcesmentioning
confidence: 99%
“…Useful features would include access to academic and discipline specific written and spoken language corpora, corpus and computational linguistic tools such as collocations and frequency lists, data driven learning activities (e.g., Johns, 1991;Boulton, 2009), and intelligent computer-assisted language learning (ICALL) tools (Heift, 2010a(Heift, , 2010bHeift & Schulze, 2007;Schulze, 2008). Importantly, students would benefit from orientation to productive use of such tools and thus online tutorials as well as hands-on workshop orientations would be designed (Hubbard & Romeo, 2012). Lastly, building in learning analytics to track user behaviors, in combination with other assessment measures, would provide the data necessary to empirically document diverse usage patterns, their correlations with successful completion of LIKE portfolios, and to support innovation-process research that would iteratively improve the design of the eportfolio environment (Fischer, 2007(Fischer, , 2012.…”
Section: Rationale and Existing Resourcesmentioning
confidence: 99%
“…The studies in Strand 1 all support the idea that, even at the level of technical knowledge, significant numbers of digital natives are deficient in skills and knowledge necessary for language learning. For Strand 2, studies based on student interviews and reflective reports (Romeo & Hubbard, 2010;Hubbard & Romeo, 2012) demonstrated that technologically sophisticated learners from the current generation increased their awareness and implementation of effective strategies for using technology under the influence of pervasive learner training. Strand 3 includes numerous examples where learners do not appear to have the strategic knowledge to make appropriate use of familiar technology (e.g., synchronous CMC) for language learning purposes.…”
Section: Resultsmentioning
confidence: 99%
“…In a post-course interview, 10 of 12 students indicated that one of the most valuable things they had learned from the course was how to approach listening on their own, suggesting that learner training of this sort could have a long-term effect on increasing autonomy. A companion paper (Hubbard & Romeo, 2012) reported that the model was also effective in a blended setting, where the classroom time was cut in half and students did even more independent work. That paper further noted that students varied in terms of how quickly and thoroughly they responded to training and emphasized the individual nature of the transformation that learner training can bring.…”
Section: Strand 2: Learner Training In Actionmentioning
confidence: 99%
“…Amongst them, a few demonstrated their willingness to interact with the teacher, but their attempts were rather sparse. Whereas the web has been described as a "viable environment for language learning" (Felix, 2004, p. 246), Hubbard and Romeo (2012) point out that, according to the literature to date, "it is common practice to offer little if any [...] training before turning students loose on a [computer-assisted language learning] software application, task, or activity" (p. 35). Although it is frequent to find in research publications that younger generations have some advantages in terms of computer literacy over older people (e.g., Rahimpour, 2011), one could posit that a technology enhanced classroom fostering interactions between students and teachers may not be immediately suitable for every language learner, as students might have different levels of digital literacy, as well as different levels of willingness to interact.…”
Section: Resultsmentioning
confidence: 99%