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Vol.8, Issue 1, 2022, pp. 5-28 Full text

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Christina A. DeCoursey

Affiliation: Nazarbayev University, Nur-Sultan, Kazakhstan

Most studies of talented learners focus on the nature of their accelerated cognitive abilities, and on structuring curricula to support them in achieving academically. Few studies of talented learners explore their emotional regulatory and coping strategies, as part of how they learn. Yet emotional regulation and coping strategies are an essential component of self-efficacy and self-regulation. Many talented learners are now also second-language learners. Programmers are among the most talented of 21st century learners. Programming requires linguistic proficiency, advanced quantitative reasoning, and multiple, complex forms of procedural reasoning. Mixed methods were used to explore how 34 talented programmers responded to a stressful second-language task. Data was analysed using one deductive and one emergent content coding frame, Appraisal analysis, and transitivity analysis. Results show that talented programmers handle stress by identifying and solving contextual problems. They realise positive subjective attitudes as evaluations of context, but frame negative emotions as interior experiences. As actors, they represent themselves as closely aligned with their team.

Keywords: talented learners, second-language learners, self-efficacy, emotional regulatory strategies, coping strategies, content analysis, Appraisal analysis

Article history:
Submitted: 12 March 2022
Reviewed: 16 March 2022
Accepted: 21 March 2022
Published: 30 June 2022

Citation (APA):
DeCoursey, C. A. (2022). How Talented Second-language Learners Regulate their Emotions and Cope with Stress. English Studies at NBU, 8(1), 5-28.

Copyright © 2022 Christina A. DeCoursey

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[[refs=Aldao, A. (2013). The future of emotion regulation research: Capturing context. Perspectives on Psychological Science, 8(2), 155-172.

Araújo, L. S., Cruz, J. F. A., & Almeida, L. S. (2017). Achieving scientific excellence: An exploratory study of the role of emotional and motivational factors. High Ability Studies, 28(2), 249-264.

Argamon, S., Bloom, K., Esuil, A. & Sebastiani, F. (2007). Automatically determining attitude type and force for sentiment analysis. Proceedings of the 3rd language and technology conference (LTC'07), Poznan, PL, 369-373.

Bandura, A. (2006). Toward a psychology of human agency. Perspectives on Psychological Science, 1(2), 164-180. https://doi/abs/10.1111/j.1745-6916.2006.00011.x

Barfurth, M. A., Ritchie, K. C., Irving, J. A., & Shore, B. M. (2009). A metacognitive portrait of gifted learners. In Shavinina, L. V. (Ed.), International handbook on giftedness (pp. 397-417). Springer.

Bazerman, C. & Prior, P. (2004). What writing does and how it does it: An introduction to analysing texts and textual practices. Erlbaum.

Berlingeri, M., Crepaldi, D., Roberti, R., Luzzatti, C. & Paulesu, E (2007). Brain areas underlying retrieval of nouns and verb: Grammatical class and task demand effects.

Beynon, M. (2009) Constructivist computer science education reconstructed. Innovation in Teaching and Learning in Information and Computer Sciences, 128(8/2), 73–90,

Biber, D. (2006), Stance in spoken and written university registers. Journal of English for Academic Purposes, 5(2), 97–116,

Biddick, M. (2009). Cluster grouping for the gifted and talented: It works. Apex, 15(4), 78-86,

Biedroń, A., & Szczepaniak, A. (2009). The cognitive profile of a talented foreign language learner. A case study. Psychology of Language and Communication, 13(1), 53-71, https://doi:10.2478/v10057-009-0004-7

Boekarts, M. (2011) Emotions, emotional regulation, and self-regulation of learning. In Schunk, D., & Zimmerman, B. (Eds.), Handbook of self-regulation of learning and performance (pp. 408-425). Taylor & Francis.

Bonanno, G. & Burton, C. (2013) Regulatory flexibility: An individual differences perspective on coping and emotion regulation. Perspectives on Psychological Science 8(6), 591-612, https://doi/abs/10/1177/1745691613504116

Bowers, J. (2002). Transitivity. Linguistic Inquiry, 33(2), 183-224.

Callahan, C. M., & Hertberg-Davis, H. L. (Eds.) (2012). Fundamentals of gifted education: Considering multiple perspectives. Routledge.

Carver, C. & Connor-Smith, J. (2010). Personality and coping. Annual Review of Psychology, 61, 679-704.

Crepaldi, D., Berlingeri, M., Cattinelli, I., Borghese, N., Luzzatti, C. & Paulesu, E. (2013). Clustering the lexicon in the brain: A meta-analysis of the neurofunctional evidence on noun and verb functioning. Frontiers in Human Neuroscience, 7(27 June 2013), 303-318.

Dixon, F., & Moon, S. (2014). The handbook of secondary gifted education. Sourcebooks.

Dixon, R. & Aikhenvald, A, (Eds.). (2000). Changing valency: Case studies in transitivity. Cambridge University Press.

Dörnyei, Z. & Ushioda, E. (2009). Motivation, Language Identity, and the L2 Self. Multilingual Matters.

Drisko, J. & Maschi, T, (2016). Content Analysis. Oxford University Press.

Elfenbein, H.A. & Ambady, N. (2002). On the universality and cultural specificity of emotion recognition: a meta-analysis. Psychological Bulletin, 128(2) 203-235.

Fontaine, J. R., Scherer, K. R., & Soriano, C. (Eds.). (2013). Components of emotional meaning: A sourcebook. Oxford University Press.

Franzosi, R. (Ed.) (2008). Content analysis. Sage.

Freiman, V. (2010). Mathematically gifted students in inclusive settings: Case of New Brunswick, Canada. In B. Sriraman & K. H. Lee (Eds.), Elements of creativity and giftedness in mathematics. (pp. 161–172). Sense Publishers.

Geake, J. G. (2009). The brain at school: Educational neuroscience in the classroom. McGraw Hill.

Geeraerts, D. & Cuyckens, H. (2007). The Oxford Handbook of Cognitive Linguistics. Oxford University Press.

George, D. (2013). Gifted education: Identification and provision. David Fulton Publishers.

Graff, G., & Birkenstein, C. (2010). They say/I say: The moves that matter in persuasive writing. Norton.

Gregersen, T. (2019). Aligning positive psychology with language learning motivation. In Lamb, M., Csizér, K., Henry, A., & Ryan, S. The Palgrave Handbook of Motivation for Language Learning, (pp. 621-640). Palgrave Macmillan.

Grover, S. & Pea, R. (2013). Computational thinking in K–12: A review of the state of the field. Educational Researcher, 42(1), 38-43.

Halliday, M. A. K. (1985). Spoken and Written Language. Deakin University Press.

Halliday, M. A. K. (1994). An introduction to functional grammar. Arnold.

Halliday, M. A. K. & Matthiessen, C. (2004). An introduction to functional grammar. Hodder Education.

Hockett, J. A. (2009). Curriculum for highly able learners that conforms to general education and gifted education quality indicators. Journal for the Education of the Gifted, 32(3), 394-440. [https://doi/abs/10.4219/jeg-2009-857 ]

Hopkins, D. J., & King, G. (2010). A method of automated nonparametric content analysis for social science. American Journal of Political Science, 54(1), 229-247.

Hymer, B., & Michel, D. (2013). Gifted and talented learners: Creating a policy for inclusion. David Fulton Publishers.

Izard, C. (2013). Human Emotions. Springer.

Kärkkäinen, E. (2003). Epistemic stance in English conversation: A description of its interactional functions with a focus on 'I think'. John Benjamins.

Kemmerer, D. & Gonzalez-Castillo, J. (2010). The two-level theory of verb meaning: An approach to integrating the semantics of action with the mirror-neuron system. Brain and language, 112(1), 54-76.

Kemmerer, D., & Eggleston, A. (2012). Nouns and verbs in the brain: Implications of linguistic typology for cognitive neuroscience. Lingua, 120(12), 2686-2690.

Kitillä, S. (2002). Remarks on the basic transitive sentence. Language Sciences, 24(2), 107-130.

Krippendorff, K., & Bock, M. A. (2009). The content analysis reader. Sage.

Kulikov, L., Malchukov, A. & Swart, P. (2006). Case valency and transitivity. John Benjamins.

Kuppens, P., Van Mechelen, I., Smits, D. J. M., De Boeck, P., & Ceulemans, E. (2007). Individual differences in patterns of appraisal and anger experience. Cognition and Emotion, 21(4), 689–713. [[

Lee, I., Martin, F., Denner, J., Coulter, B., Allan, W., Erickson, J., Malyn-Smith, J. & Werner, L., (2011). Computational Thinking for Youth in Practice. ACM Inroads, 2(1), 32-37.

Lee, S. Y., Olszewski-Kubilius, P., & Thomson, D. T. (2012). Academically gifted students' perceived interpersonal competence and peer relationships. Gifted Child Quarterly, 56(2), 90-104.

Leikin, M., Paz-Baruch, N., & Leikin, R. (2013). Memory abilities in generally gifted and excelling-in-mathematics adolescents. Intelligence, 41(5), 566–578.,07.018

Lewis, S. C., Zamith, R., & Hermida, A. (2013). Content Analysis in an Era of Big Data: A Hybrid Approach to Computational and Manual Methods. Journal of Broadcasting & Electronic Media, (57)1, 34-52.

Linnenbrink, E. & Pintrich, P. (2010) The role of self-efficacy beliefs in student engagement and learning in the classroom. Reading and Writing Quarterly: Overcoming Learning Difficulties, 19(2) 119-137.

Little, C. (2012). Curriculum as motivation for gifted students. Psychology in the Schools, 49(7), 695-705.

MacArthur, C., Graham, S., & Fitzgerald, J. (Eds.) (2008). Handbook of writing research. Guilford Press.

Malchukov, A. (2006). Transitivity parameters and transitivity alternations. Case, valence and transitivity. In Kulikov, L, Malchukov, A. & deSwart, P. (Eds.), Case, valency and transitivity: A cross-linguistic perspective (pp. 392-357). John Benjamins.

Martin, J. & White, P. (2005). The Language of Evaluation; Appraisal in English. Palgrave Macmillan.

McCormick, K. M., & Plucker, J. A. (2013). Connecting student engagement to the academic and social needs of gifted and talented students. In Kim, K., Kaufman, J., Baer, J. & Sriraman, B. (Eds.), Creatively gifted students are not like other gifted students: Research, theory and practice (pp. 121-135). Sense Publishers.

Moors, A., Ellsworth, P. & Scherer, K. (2013). Appraisal theories of emotion: State of the art and future development. Emotion Review, 5(2), 119-124.

Moseley, R. & Pulvermüller, F. (2014). Nouns, verbs, objects, actions, and abstractions: Local fMRI activity indexes semantics, not lexical categories. Brain and Language, 13(2), 28-42.

Næss, Ả. (2007). Prototypical Transitivity. John Benjamins.

O'Donnell, M. (2008). Demonstration of the UAM CorpusTool for text and image annotation. Proceedings of the ACL-08: HLT Demo Session (Companion Volume).

Page, J. S. (2010). Challenges Faced by Gifted Learners in School and Beyond. Inquiries Journal, 2(11), 1-12.

Paulhaus, D. & Vazire, S. (2007). The self-report method. In Robins, R., Fraley, R. & Krueger, R. (Eds.), Handbook of research methods in personality psychology (pp. 224-239). Guildford Press.

Perfetti, C., & Stafura, J. (2014). Word knowledge in a theory of reading comprehension. Scientific Studies of Reading, 18(1), 22-37.

Perfetti, C., Yang, C. L., & Schmalhofer, F. (2008). Comprehension skill and word-to-text integration processes. Applied Cognitive Psychology, 22(3), 303-318.

Pfeiffer, S. I. (2012). Serving the gifted: Evidence-based clinical and psychoeducational practice. Routledge.

Polanyi, L. & Zaenen, A. (2006). Computing attitude and affect in text: Theory and applications. Springer.

Read, J., & Carroll, J. (2010). Annotating expressions of Appraisal in English. Language Resources and Evaluation 46, 421-447.

Schunk, D. & Zimmerman, B. (2011). Handbook of self-regulation of learning and performance. Taylor & Francis.

Seth C. Lewis, Zamith, R. & Hermida, A. (2013). Content Analysis in an Era of Big Data: Hybrid Approach to Computational and Manual Methods. Journal of Broadcasting & Electronic Media, 57(1), 34–52.

Shinzato, R. (2004). Some observations concerning mental verbs and speech act verbs. Journal of Pragmatics, 36(5), 861-882.

Singer, F. M., Sheffield, L. J., Freiman, V., & Brandl, M. (2016). `Research on and activities for mathematically gifted students. Springer.

Snyder, L. (2014). Fluency with Information Technology: Skills, Concepts, & Capabilities. Pearson.

Stack, G. (2012). The language of possibility and existential possibility. The Modern Schoolman, 50(2), 159-182. https://doi.10.5840/schoolman19735026

Steenbergen-Hu, S., & Moon, S. M. (2011). The effects of acceleration on high-ability learners: A meta-analysis. Gifted Child Quarterly, 55(1), 39-53.

Stemler, S. (2015). Emerging trends in content analysis. In Scott, R. & Kosslyn, S. (Eds.), Emerging Trends in the Social and Behavioural Sciences (pp. 1-14). Wiley.

Sydserff, R. & Weetman, P. (2002). Developments in content analysis: A transitivity index and diction scores. Accounting, Auditing and Accountability Journal, 15(4), 523-545.

Taboada, M., Brooke, J., Tofilovsky, M., Voll, K. & Stede, M. (2011). Lexicon-based methods for sentiment analysis. Computational Linguistics, 1(1), 1–42.

Tedre, M. (2014). The Science of Computing: Shaping a Discipline. CRC Press/Taylor & Francis.

Tedre, M., & Denning, P. J. (2016, November). The long quest for computational thinking. In Proceedings of the 16th Koli Calling International Conference on Computing Education Research (pp. 120-129). ACM.

Thompson, G. (2004). Introducing functional grammar. Hodder Education.

Webb, T., Miles, E. & Sheeran, P. (2012). Dealing with feeling: A meta-analysis of the effectiveness of strategies derived from the process model of emotion regulation. Psychological Bulletin, 138(4), 775-808.]]


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