| Literature DB >> 32765337 |
Majid Elahi Shirvan1, Tahereh Taherian2, Elham Yazdanmehr3.
Abstract
Following the recent shift from negative psychology to positive psychology, interest in foreign language enjoyment (FLE) has grown noticeably in second language acquisition. Given the fact that learners are "persons-in-context" and are not "ergodic ensembles," the particular learner-context ecosystem goes through ongoing momentary changes with respect to individual differences like FLE. Ecological momentary assessment (EMA) contributes to our understanding of the dynamics of this ecosystem in terms of the interaction between individual learners and their learning environments. In this study, using a time-based sampling scheme of EMA, we explored the dynamism of different facets of FLE across different timescales including seconds, minutes, weeks, and months in a course of intermediate English as a foreign language. To do this, we applied open-ended interviews with two intermediate English language learners in a private English language institute across months, journals across weeks, enjoymeters across minutes, and the idiodynamic approach across seconds. Findings indicated that enjoyment in foreign language fluctuates in terms of a hierarchy of temporal scales, from moment-to-moment changes to the ones over months. The emerging patterns of enjoyment across different timescales in terms of the tenets of complex dynamic systems theory are discussed.Entities:
Keywords: dynamics; ecological momentary assessment; ecological sampling scheme; enjoymeter; foreign language enjoyment
Year: 2020 PMID: 32765337 PMCID: PMC7381172 DOI: 10.3389/fpsyg.2020.01391
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Matrix of data collection.
| Micro-level FLE (Level 1) | Second | Idiodynamic method | Every second |
| In-class FLE (Level 2) | Minute | Enjoymeter | Every 5 min within one session |
| Weekly FLE (Level 3) | Week | Journal | Every week |
| Macro level of FLE (Level 4) | Month | Interviews | 6 weeks apart |
FIGURE 1Sara’s idiodynamic graph.
FIGURE 2Sara’s in-class data (10 = high FLE; 0 = low FLE).
FIGURE 3Sanaz’s idiodynamic graph.
FIGURE 4Sanaz’s in-class data (10 = high FLE; 0 = low FLE).