Effects of the Fundamental Concepts of Computational Thinking on Students’ Anxiety and Motivation toward K-12 English Writing
Abstract
:1. Introduction
- Does incorporating the fundamental concepts of CT into English writing classes reduce students’ anxiety toward English writing more effectively than a conventional teaching method?
- Does incorporating the fundamental concepts of CT into English writing classes affect students’ motivation toward English writing more heavily than a conventional teaching method?
2. Literature Review
2.1. Integrating the Fundamental Concepts of CT into an English Writing Course
2.2. Writing Anxiety and Motivation
2.3. The Hypotheses Development
3. Methodology
3.1. Research Design
3.2. Participants
3.3. Experimental Procedure
3.4. Measuring Instruments
3.4.1. Writing Anxiety
3.4.2. Writing Motivation
3.5. Data Analysis
4. Results
4.1. Writing Anxiety
4.2. Writing Motivation
5. Discussion and Implications
5.1. Influence of the Fundamental Concepts of CT in Reducing Students’ Writing Anxiety
5.2. Influence of the Fundamental Concepts of CT in Improving Students’ Motivation
5.3. Implications of the Study
6. Conclusions and Limitation
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Grabe, W.; Kaplan, R.B. Theory and Practice of Writing: An Applied Linguistic Perspective. Coll. Compos. Commun. 1998, 49, 301. [Google Scholar] [CrossRef]
- Kao, C.W.; Reynolds, B.L. A Study on the Relationship among Taiwanese College Students’ EFL Writing Strategy Use, Writing Ability and Writing Difficulty. Engl. Teach. Learn. 2017, 41, 31–67. [Google Scholar]
- Kırmızı, Ö.; Kırmızı, G.D. An Investigation of L2 Learners’ Writing Self-Efficacy, Writing Anxiety and Its Causes at Higher Education in Turkey. Int. J. High. Educ. 2015, 4, 57. [Google Scholar] [CrossRef] [Green Version]
- Parsazadeh, N.; Cheng, P.-Y.; Wu, T.-T.; Huang, Y.-M. Integrating Computational Thinking Concept Into Digital Storytelling to Improve Learners’ Motivation and Performance. J. Educ. Comput. Res. 2020, 59, 470–495. [Google Scholar] [CrossRef]
- Hsu, T.-C.; Chang, S.-C.; Hung, Y.-T. How to learn and how to teach computational thinking: Suggestions based on a review of the literature. Comput. Educ. 2018, 126, 296–310. [Google Scholar] [CrossRef]
- He, Z.; Wu, X.; Wang, Q.; Huang, C. Developing Eighth-Grade Students’ Computational Thinking with Critical Reflection. Sustainability 2021, 13, 11192. [Google Scholar] [CrossRef]
- Hunsaker, E. The K-12 Educational Technology Handbook 1 2.3 Computational Thinking Learning Objectives. 2018. Available online: https://edtechbooks.org/k12handbook/computational_thinking (accessed on 29 January 2023).
- Yadav, A.; Hong, H.; Stephenson, C. Computational Thinking for All: Pedagogical Approaches to Embedding 21st Century Problem Solving in K-12 Classrooms. Techtrends 2016, 60, 565–568. [Google Scholar] [CrossRef] [Green Version]
- Sabitzer, B.; Demarle-Meusel, H.; Jarnig, M. Computational Thinking through Modeling in Language Lessons. In Proceedings of the IEEE Global Engineering Education Conference, EDUCON, Santa Cruz de Tenerife, Spain, 17–20 April 2018. [Google Scholar]
- Wing, J.M. Computational Thinking. Commun. ACM 2006, 49, 33–35. [Google Scholar] [CrossRef]
- Wing, J.M. Computational thinking and thinking about computing. Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 2008, 366, 3717–3725. [Google Scholar] [CrossRef]
- Kale, U.; Akcaoglu, M.; Cullen, T.; Goh, D.; Devine, L.; Calvert, N.; Grise, K. Computational What? Relating Computational Thinking to Teaching. Techtrends 2018, 62, 574–584. [Google Scholar] [CrossRef]
- Lin, J.-M.; Hong, Z.-W.; Song, Z.-K.; Shen, W.-W.; Cheng, W.-K. Improve University Humanities Students’ Problem-Solving Ability Through Computational Thinking Training. In Proceedings of the Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Virtual Event, 29 November–1 December 2021; Volume 13117 LNCS, pp. 131–143. [Google Scholar]
- Brackmann, C.P.; Román-González, M.; Robles, G.; Moreno-León, J.; Casali, A.; Barone, D. Development of Computational Thinking Skills through Unplugged Activities in Primary School. In Proceedings of the 12th Workshop on Primary and Secondary Computing Education, Nijmegen, The Netherlands, 8 November 2017. [Google Scholar] [CrossRef]
- Lee, M.; Lee, J. Enhancing computational thinking skills in informatics in secondary education: The case of South Korea. Educ. Technol. Res. Dev. 2021, 69, 2869–2893. [Google Scholar] [CrossRef]
- Sengupta, P.; Kinnebrew, J.S.; Basu, S.; Biswas, G.; Clark, D. Integrating computational thinking with K-12 science education using agent-based computation: A theoretical framework. Educ. Inf. Technol. 2013, 18, 351–380. [Google Scholar] [CrossRef]
- Grover, S.; Pea, R. Computational Thinking in K-12: A Review of the State of the Field. Educ. Res. 2013, 42, 38–43. [Google Scholar] [CrossRef]
- Jong, M.S.-Y.; Geng, J.; Chai, C.S.; Lin, P.-Y. Development and Predictive Validity of the Computational Thinking Disposition Questionnaire. Sustainability 2020, 12, 4459. [Google Scholar] [CrossRef]
- Gok, D.; Bozoglan, H.; Bozoglan, B. Effects of online flipped classroom on foreign language classroom anxiety and reading anxiety. Comput. Assist. Lang. Learn. 2021, 1–21. [Google Scholar] [CrossRef]
- Ho, M.-C. Exploring Writing Anxiety and Self-Efficacy among EFL Graduate Students in Taiwan. High. Educ. Stud. 2015, 6, 24. [Google Scholar] [CrossRef] [Green Version]
- Horwitz, E.K.; Horwitz, M.B.; Cope, J. Foreign Language Classroom Anxiety. Mod. Lang. J. 1986, 70, 125. [Google Scholar] [CrossRef]
- Cheng, Y.-S. A measure of second language writing anxiety: Scale development and preliminary validation. J. Second. Lang. Writ. 2004, 13, 313–335. [Google Scholar] [CrossRef]
- Liu, H.J. Understanding EFL Undergraduate Anxiety in Relation to Motivation, Autonomy, and Language Proficiency. Electron. J. Foreign Lang. Teach. 2012, 9, 123–139. [Google Scholar]
- Sabti, A.; Rashid, S.; Nimehchisalem, V.; Darmi, R. The Impact of Writing Anxiety, Writing Achievement Motivation, and Writing Self-Efficacy on Writing Performance: A Correlational Study of Iraqi Tertiary EFL Learners. SAGE Open 2019, 9, 1–13. [Google Scholar] [CrossRef]
- Rahimi, M.; Fathi, J. Exploring the impact of wiki-mediated collaborative writing on EFL students’ writing performance, writing self-regulation, and writing self-efficacy: A mixed methods study. Comput. Assist. Lang. Learn. 2021, 35, 2627–2674. [Google Scholar] [CrossRef]
- Wright, K.L.; Hodges, T.S.; Dismuke, S.; Boedeker, P. Writing Motivation and Middle School: An Examination of Changes in Students’ Motivation for Writing. Lit. Res. Instr. 2020, 59, 148–168. [Google Scholar] [CrossRef]
- Martín, J.; Hameleers, I.; Trujillo-Torres, J.-M.; Moreno-Guerrero, A.-J. A Comparison between Collaborative and Individual Writings in Promoting Motivation and Language Acquisition. Sustainability 2020, 12, 7959. [Google Scholar] [CrossRef]
- Kwon, J.; Kim, J. A Study on the Design and Effect of Computational Thinking and Software Education. KSII Trans. Internet Inf. Syst. 2018, 12, 4057–4071. [Google Scholar] [CrossRef]
- Jacob, S.; Nguyen, H.; Tofel-grehl, C.; Richardson, D.; Warschauer, M. Teaching Computational Thinking to English Learners. NYS Tesol J. 2018, 5, 12–24. [Google Scholar]
- Rottenhofer, M.; Sabitzer, B.; Rankin, T. Developing Computational Thinking Skills Through Modeling in Language Lessons. Open Educ. Stud. 2021, 3, 17–25. [Google Scholar] [CrossRef]
- Korkmaz, Ö.; Çakir, R.; Özden, M.Y. A validity and reliability study of the computational thinking scales (CTS). Comput. Hum. Behav. 2017, 72, 558–569. [Google Scholar] [CrossRef]
- Tsai, M.-J.; Liang, J.-C.; Lee, S.W.-Y.; Hsu, C.-Y. Structural Validation for the Developmental Model of Computational Thinking. J. Educ. Comput. Res. 2021, 60, 56–73. [Google Scholar] [CrossRef]
- Wright, K.L.; Hodges, T.S.; McTigue, E.M. A validation program for the Self-Beliefs, Writing-Beliefs, and Attitude Survey: A measure of adolescents’ motivation toward writing. Assess. Writ. 2018, 39, 64–78. [Google Scholar] [CrossRef]
- Chien, S.-C. Students’ use of writing strategies and their English writing achievements in Taiwan. Asia Pac. J. Educ. 2012, 32, 93–112. [Google Scholar] [CrossRef]
- Reynolds, B.L. Helping Taiwanese Graduate Students Help Themselves: Applying Corpora to Industrial Management English as a Foreign Language Academic Reading and Writing. Comput. Sch. 2015, 32, 300–317. [Google Scholar] [CrossRef]
- Hunsaker, E. Computational Thinking. In The K-12 Educational Technology Handbook; Ottenbreit-Leftwich, A., Kimmons, R., Eds.; BYU Open Textbook Network: 2018. Available online: https://edtechbooks.org/k12handbook (accessed on 21 December 2022).
- Fronza, I.; Gallo, D. Towards Mobile Assisted Language Learning Based on Computational Thinking. In Proceedings of the Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Rome, Italy, 26–29 October 2016; Volume 10013 LNCS, pp. 141–150. [Google Scholar]
- Vogel, S.; Hoadley, C.; Ascenzi-Moreno, L.; Menken, K. The Role of Translanguaging in Computational Literacies. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education, Minneapolis, MN, USA, 22 February 2019; ACM: New York, NY, USA, 2019; pp. 1164–1170. [Google Scholar]
- Youjun, T.; Xiaomei, M. Computational thinking: A mediation tool and higher-order thinking for linking EFL grammar knowledge with competency. Think. Ski. Creativity 2022, 46, 101143. [Google Scholar] [CrossRef]
- Liao, Y.-H.; Chen, Y.-L.; Chen, H.-C.; Chang, Y.-L. Infusing creative pedagogy into an English as a foreign language classroom: Learning performance, creativity, and motivation. Think. Ski. Creat. 2018, 29, 213–223. [Google Scholar] [CrossRef]
- Ghaffar, M.A.; Khairallah, M.; Salloum, S. Co-constructed rubrics and assessment for learning: The impact on middle school students’ attitudes and writing skills. Assess. Writ. 2020, 45, 100468. [Google Scholar] [CrossRef]
- Barr, V.; Stephenson, C. Bringing Computational Thinking to K-12: What Is Involved and What Is the Role of the Computer Science Education Community? ACM Inroads 2011, 2, 48–54. [Google Scholar] [CrossRef]
- Gardner, R.C. The Role of Attitudes and Motivation. In Social Psychology and Second Language Learning; Wiley: Chichester, UK, 1985. [Google Scholar]
- Lu, D.; Xie, Y. The effects of a critical thinking oriented instructional pattern in a tertiary EFL argumentative writing course. High. Educ. Res. Dev. 2019, 38, 969–984. [Google Scholar] [CrossRef]
- Yaqi, F.; Xiaoli, Z. The Effect of Collaborative Writing Mode of Thinking Visualization on EFL Writing Anxiety of Junior High School Students. In Proceedings of the International Conference for Media in Education, Palma, Spain, 4–6 July 2022. [Google Scholar]
- Wang, Y.; Luo, X.; Liu, C.-C.; Tu, Y.-F.; Wang, N. An Integrated Automatic Writing Evaluation and SVVR Approach to Improve Students’ EFL Writing Performance. Sustainability 2022, 14, 11586. [Google Scholar] [CrossRef]
- Daly, J.A.; Miller, M.D. The Empirical Development of an Instrument to Measure Writing Apprehension. Res. Teach. Engl. 1975, 9, 242–249. [Google Scholar]
- Dörnyei, Z. The Psychology of the Language Learner: Individual Differences in Second Language Acquisition; Routledge: London, UK, 2014. [Google Scholar]
- Duijnhouwer, H.; Prins, F.; Stokking, K.M. Feedback providing improvement strategies and reflection on feedback use: Effects on students’ writing motivation, process, and performance. Learn. Instr. 2012, 22, 171–184. [Google Scholar] [CrossRef]
- Wei, M. The Interrelatedness of Affective Factors in EFL Learning: An Examination of Motivational Patterns in Relation to Anxiety in China. Tesl-Ej 2007, 11, n1. [Google Scholar]
- Voogt, J.; Fisser, P.; Good, J.; Mishra, P.; Yadav, A. Computational thinking in compulsory education: Towards an agenda for research and practice. Educ. Inf. Technol. 2015, 20, 715–728. [Google Scholar] [CrossRef] [Green Version]
- Jin, Y.; Dewaele, J.-M.; MacIntyre, P.D. Reducing anxiety in the foreign language classroom: A positive psychology approach. System 2021, 101, 102604. [Google Scholar] [CrossRef]
Fundamental Concepts of CT | Activities | Timing |
---|---|---|
Decomposition | Without critiquing one another, students are encouraged to contribute ideas simultaneously about how to complete the assigned tasks.
| 10 min |
Pattern recognition | Students develop potential angles and points of view to explore.
| 10 min |
Abstraction | Students utilize their existing knowledge of English.
| 10 min |
Algorithm | Students explain the key points in an organized and structured manner by providing evidence to support each key point.
| 10 min |
Evaluation | Students are encouraged to evaluate other’s work.
| 10 min |
Scale | Cronbach’s α | Pearson Correlation | ||
---|---|---|---|---|
Pretest | Posttest | Pretest | Posttest | |
Cognitive anxiety | 0.723 | 0.839 | 0.667 ** | 0.919 ** |
Somatic anxiety | 0.702 | 0.799 | 0.661 ** | 0.776 ** |
Avoidance behavior | 0.794 | 0.867 | 0.645 ** | 0.852 ** |
Self-efficacy beliefs | 0.701 | 0.882 | 0.569 ** | 0.861 ** |
Mastery goals | 0.805 | 0.864 | 0.803 ** | 0.910 ** |
Performance goals | 0.736 | 0.846 | 0.564 ** | 0.772 ** |
Variable | Control Group | Experimental Group | Mean Differences | ||||||
---|---|---|---|---|---|---|---|---|---|
Pretest | Posttest | Pretest | Posttest | ||||||
M | SD | M | SD | M | SD | M | SD | ||
Cognitive anxiety | 32.1 | 3.55 | 26.1 | 6.96 | 32.8 | 3.73 | 22.9 | 4.01 | −3.2 |
Somatic anxiety | 30.6 | 3.35 | 24.5 | 5.69 | 31.0 | 2.76 | 20.8 | 2.97 | −3.7 |
Avoidance behavior | 30.2 | 2.81 | 26.0 | 5.04 | 30.5 | 2.23 | 21.7 | 6.32 | −4.3 |
Variable | SS | df | Mean Square | F | p | Partial η2 |
---|---|---|---|---|---|---|
Cognitive anxiety | 169 | 1 | 169.2 | 5.56 | 0.022 * | 0.092 |
Somatic anxiety | 207.3 | 1 | 207.3 | 10.006 | 0.003 * | 0.154 |
Avoidance behavior | 260.4 | 1 | 260.4 | 8.12 | 0.006 * | 0.129 |
Variable | Control Group | Experimental Group | Mean Differences | ||||||
---|---|---|---|---|---|---|---|---|---|
Pretest | Posttest | Pretest | Posttest | ||||||
M | SD | M | SD | M | SD | M | SD | ||
Self-efficacy beliefs | 3.02 | 0.475 | 3.27 | 0.482 | 3.01 | 0.486 | 4.12 | 0.521 | 0.85 |
Mastery goals | 3.16 | 0.595 | 3.55 | 0.727 | 3.54 | 0.710 | 4.72 | 0.345 | 1.17 |
Performance goals | 3.12 | 0.525 | 3.83 | 0.475 | 3.28 | 0.544 | 4.66 | 0.427 | 0.83 |
Variable | SS | df | Mean Square | F | p | Partial η2 |
---|---|---|---|---|---|---|
Self-efficacy beliefs | 10.47 | 1 | 10.468 | 44.29 | 0.001 * | 0.446 |
Mastery goals | 19.642 | 1 | 19.642 | 60.94 | 0.001 * | 0.526 |
Performance goals | 9.7543 | 1 | 9.7543 | 47.129 | 0.001 * | 0.461 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Peng, H.-H.; Murti, A.T.; Silitonga, L.M.; Wu, T.-T. Effects of the Fundamental Concepts of Computational Thinking on Students’ Anxiety and Motivation toward K-12 English Writing. Sustainability 2023, 15, 5855. https://doi.org/10.3390/su15075855
Peng H-H, Murti AT, Silitonga LM, Wu T-T. Effects of the Fundamental Concepts of Computational Thinking on Students’ Anxiety and Motivation toward K-12 English Writing. Sustainability. 2023; 15(7):5855. https://doi.org/10.3390/su15075855
Chicago/Turabian StylePeng, Hsi-Hung, Astrid Tiara Murti, Lusia Maryani Silitonga, and Ting-Ting Wu. 2023. "Effects of the Fundamental Concepts of Computational Thinking on Students’ Anxiety and Motivation toward K-12 English Writing" Sustainability 15, no. 7: 5855. https://doi.org/10.3390/su15075855
APA StylePeng, H.-H., Murti, A. T., Silitonga, L. M., & Wu, T.-T. (2023). Effects of the Fundamental Concepts of Computational Thinking on Students’ Anxiety and Motivation toward K-12 English Writing. Sustainability, 15(7), 5855. https://doi.org/10.3390/su15075855