Boredom in the Foreign Language Classroom: A Micro-Perspective
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This change urged language researchers and practitioners worldwide to switch their focus from studying negative emotions to investigating both negative and positive factors involved in L2 teaching and learning.
“This change urged language researchers and practitioners worldwide to switch their focus from studying negative emotions such as anxiety (Marcos-Llinás and Garau, 2009), boredom (Pawlak et al., 2020), and burnout (Vaezi and Fallah, 2011), to the investigation of both negative and positive factors involved in the process of L2 teaching and learning (Chaffee et al., 2014; Dewaele and MacIntyre, 2014”
From Researching and Practicing Positive Psychology in Second/Foreign Language Learning and Teaching: The Past, Current Status and Future Directions (2021) · cites this paper as Pawlak et al., 2020
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References 1 · Cited by 103
- Authors
- Pawlak, M., Zawodniak, J., & Kruk, M.
- Affiliations
- Adam Mickiewicz University in Poznań (PL)
- University of Zielona Góra (PL)
- Venue
- Second Language Learning and Teaching
- Publisher
- Springer International Publishing
- Published
- 2020
- ISSN
- 2193-7648 (ISSN-L)
- 2193-7656
- OpenAlex
- W4247009442
- Cited by
- 103
- References
- 1
- Citations by year
- 2026: 20 · 2025: 25 · 2024: 10 · 2023: 12 · 2022: 19 · 2021: 16 · 2020: 1
- FWCI
- 20.02
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Second language learning and teaching (publishedVersion)
- Topics
- Social Sciences › Arts and Humanities › Language and Linguistics › EFL/ESL Teaching and Learning
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Education, Achievement, and Giftedness
- Life Sciences › Neuroscience › Cognitive Neuroscience › Mind wandering and attention
- Keywords
- boredom, foreign language classroom, second language acquisition, language teaching, student motivation, educational implications
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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