Please use this identifier to cite or link to this item: http://hdl.handle.net/10593/12402
Title: Measuring the effect of metacompetence in EFL pronunciation learning
Authors: Łodzikowski, Kacper
Jekiel, Mateusz
Malarski, Kamil
Keywords: Computer-assisted language learning
e-learning
Moodle
phonetics teaching and learning
EFL pronunciation teaching and learning
web analytics
Issue Date: 18-Dec-2014
Abstract: Reportedly, metacompetence (i.e. phonetic and phonological awareness) provides the learner with reflective feedback that boosts L2 pronunciation learning (Dziubalska-Kołaczyk 2002, Schwartz 2005, Wrembel 2005, Wrembel 2011). However, there is still little quantitative data to confirm this hypothesis. More importantly, there are no studies that would measure how the specific elements of theoretical metacompetence training impact the learner’s success in practical pronunciation training. The primary aim of this pilot study is to test the hypothesis that the knowledge of English phonetics and phonology helps Polish undergraduate EFL learners of English in mastering English pronunciation. The study will be conducted on 1BA English philology students who take a theoretical course in English phonetics and phonology and a practical course in English pronunciation. To verify the hypothesis, we will: (1) measure the intended learning outcomes for learners in the theoretical course in phonetics and phonology, (2) measure the performance of those learners in the practical pronunciation course, (3) investigate the correlation between the performance in the theoretical course and the practical course. Previous studies relied on class observation or qualitative data (e.g. questionnaires, as in Lechowska 2005). While such data can be a part of a broader analysis, relying solely on learners’ impressions may not be sufficient. This is why our study will rely predominantly on quantitative data that most objectively reflects learner behaviour. To collect this data, the theoretical phonetics and phonology course will heavily rely on online components: interactive quizzes, transcription exercises and video lectures (as in previous pilots by Łodzikowski 2014, and Łodzikowski and Aperliński 2013). Data will be collected on Moodle 2.6 with the Piwik plug-in to measure learner online behaviour (frequency, times and duration of visits on Moodle; number of attempts at tasks and time spent on them, etc.). Although the data for this pilot study will be collected throughout the entire academic year (between October 2014 and June 2015), this paper will only report on the first two months of the pilot.
Description: Paper presented at the Accents 2013 conference.
URI: http://hdl.handle.net/10593/12402
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