Assessing metacognitive writing strategies and the predictive effects on multimedia writing

References

• Antonietti, A., Colombo, B., & DiNuzzo, C. (2015). Metacognition in self-regulated multimedia learning: Integrating behavioural, psychophysiological and introspective measures. Learning, Media and Technology, 40(2), 187–209. https://doi.org/10.1080/17439884.2014.933112
   Web of Science ®Google Scholar
• Azevedo, R. (2009). Theoretical, conceptual, methodological, and instructional issues in research on metacognition and self-regulated learning: A discussion. Metacognition and Learning, 4(1), 87–95. https://doi.org/10.1007/s11409-009-9035-7
   Web of Science ®Google Scholar
• Azevedo, R. (2010). Computer environments as metacognitive tools for enhancing learning. Educational Psychologist, 40(4), 193–197. https://doi.org/10.1207/s15326985ep4004_1
   Google Scholar
• Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice–Hall.
   Google Scholar
• Bannert, M., & Reimann, P. (2012). Supporting self-regulated hypermedia learning through prompts. Instructional Science, 40(1), 193–211. https://doi.org/10.1007/s11251-011-9167-4
   Web of Science ®Google Scholar
• Boekaerts, M. (1995). Self-regulated learning: Bridging the gap between metacognitive and metamotivation theories. Educational Psychologist, 30(4), 195–200. https://doi.org/10.1207/s15326985ep3004_4
   Web of Science ®Google Scholar
• Boekaerts, M. (2011). Emotions, emotion regulation, and self-regulation of learning. In B.J. Zimmerman & D.H. Schunk (Eds.), Handbook of self regulation of learning and performance (pp. 408–425). Routledge.
   Google Scholar
• Brown, W.J., & Kinshuk. (2016). Influencing metacognition in a traditional classroom environment through learning analytics. In Y. Li (Ed.), State-of-the-art and future directions of smart learning (pp. 1–12). Springer.
   Google Scholar
• Chen, T. (2016). Technology-supported peer feedback in ESL/EFL writing classes: A research synthesis. Computer Assisted Language Learning, 29(2), 365–397. https://doi.org/10.1080/09588221.2014.960942
   Web of Science ®Google Scholar
• Cleary, T.J., Kitsantas, A., & Dowdy, E. (2017). Motivation and self-regulated learning influences on middle school mathematics achievement. School Psychology Review, 46(1), 88–107. https://doi.org/10.1080/02796015.2017.12087607
   Web of Science ®Google Scholar
• Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159. https://doi.org/10.1037/0033-2909.112.1.155
   PubMed Web of Science ®Google Scholar
• Dinsmore, D.L., Alexander, P.A., & Loughlin, S.M. (2008). Focusing the conceptual lens on metacognition, self-regulation, and self-regulated learning. Educational Psychology Review, 20(4), 391–409. https://doi.org/10.1007/s10648-008-9083-6
   Web of Science ®Google Scholar
• Dörnyei, Z. (2005). Language learning strategies and student self-regulation. In Z. Dörnyei (Ed.), The psychology of the language learner: Individual differences in second language acquisition (pp. 162–196). Lawrence Erlbaum.
   Google Scholar
• Englert, C.S., Raphael, T.E., Fear, K.L., & Anderson, L.M. (1988). Students’ metacognitive knowledge about how to write informational texts. Learning Disability Quarterly, 11(1), 18–46. https://doi.org/10.2307/1511035
   Web of Science ®Google Scholar
• Flavell, J.H. (1979). Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry. American Psychologist, 34(10), 906–911. https://doi.org/10.1037/0003-066X.34.10.906
   Web of Science ®Google Scholar
• Flower, L., & Hayes, J.R. (1981). A cognitive process theory of writing. College Composition and Communication, 32(4), 365–387. https://doi.org/10.2307/356600
   Google Scholar
• Geiser, C. (2013). Data analysis with Mplus. The Guilford Press.
   Google Scholar
• Godwin-Jones, R. (2018). Second language writing online: An update. Language Learning & Technology, 22(1), 1–15.
   Web of Science ®Google Scholar
• Golombok, S., & Fivush, R. (1994). Gender development. Cambridge University Press.
   Google Scholar
• Graham, S. (1990). The role of production factors in learning disabled students’ compositions. Journal of Educational Psychology, 82(4), 781–791. https://doi.org/10.1037/0022-0663.82.4.781
   Web of Science ®Google Scholar
• Graham, S., Harris, R., & K. (2000). The role of self-regulation and transcription skills in writing and writing development. Educational Psychologist, 35(1), 3–12. https://doi.org/10.1207/S15326985EP3501_2
   Web of Science ®Google Scholar
• Graham, S., Schwartz, S., & MacArthur, C. (1993). Knowledge of writing and the composing process, attitude toward writing, and self-efficacy for students with and without learning disabilities. Journal of Learning Disabilities, 26(4), 237–249. https://doi.org/10.1177/002221949302600404
   PubMed Web of Science ®Google Scholar
• Hu, L.T., & Bentler, P.M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
   Web of Science ®Google Scholar
• Hype, A., & Bizar, M. (1989). Thinking in context. Longman.
   Google Scholar
• Jacobs, J.E., & Paris, S.G. (1987). Children’s metacognition about reading: Issues in definition, measurement, and instruction. Educational Psychologist, 22, 255–278. https://doi.org/10.1080/00461520.1987.9653052 3–4
   Web of Science ®Google Scholar
• Kessler, M. (2023). Supplementing mobile-assisted language learning with reflective journal writing: A case study of Duolingo users’ metacognitive awareness. Computer Assisted Language Learning, 36(5–6), 1040–1063. https://doi.org/10.1080/09588221.2021.1968914
   Web of Science ®Google Scholar
• Kizilcec, R.F., Pérez-Sanagustín, M.P., & Maldonado, J.J. (2017). Self-regulated learning strategies predict learner behavior and goal attainment in massive open online courses. Computers & Education, 104, 18–33. https://doi.org/10.1016/j.compedu.2016.10.001
   Web of Science ®Google Scholar
• Kline, R.B. (2011). Principles and practice of structural equation modeling (3rd ed.). Guilford.
   Google Scholar
• Magno, C. (2010). The role of metacognitive skills in developing critical thinking. Metacognition and Learning, 5(2), 137–156. https://doi.org/10.1007/s11409-010-9054-4
   Web of Science ®Google Scholar
• Marsh, H.W., Hau, K.T., & Wen, Z. (2004). In search of golden rules: Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing hu and Bentler’s findings. Structural Equation Modeling, 11(3), 320–341. https://doi.org/10.1207/s15328007sem1103_2
   Web of Science ®Google Scholar
• Mokhtari, K., Dimitrov, D.M., Reichard, C., & A. (2018). Revising the metacognitive awareness of reading strategies inventory (MARSI) and testing for factorial invariance. Studies in Second Language Learning & Teaching, 8(2), 219–246. https://doi.org/10.14746/ssllt.2018.8.2.3
   Web of Science ®Google Scholar
• Narciss, S., Proske, A., & Korndle, H. (2007). Promoting self-regulated learning in web-based learning environments. Computers in Human Behavior, 23(3), 1126–1144. https://doi.org/10.1016/j.chb.2006.10.006
   Web of Science ®Google Scholar
• Nelson, M.E. (2006). Mode, meaning, and synaesthesia in multimedia L2 writing. Language Learning & Technology, 10(2), 56–76.
   Web of Science ®Google Scholar
• Nicolás-Conesa, F., Roca de Larios, J., & Coyle, Y. (2014). Development of EFL students’ mental models of writing and their effects on performance. Journal of Second Language Writing, 24, 1–19. https://doi.org/10.1016/j.jslw.2014.02.004
   Web of Science ®Google Scholar
• Oxford, R.L. (2013). Teaching and researching language learning strategies (2nd ed.). Pearson.
   Google Scholar
• Pintrich, P.R. (2000). The role of goal orientation in self-regulated learning. In M. Boekaerts, P.R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 451–502). Academic Press.
   Google Scholar
• Pintrich, P.R. (2004). A conceptual framework for assessing motivation and self-regulated learning in college students. Educational Psychology Review, 16(4), 385–407. https://doi.org/10.1007/s10648-004-0006-x
   Web of Science ®Google Scholar
• Pintrich, P.R., & Schunk, D.H. (2002). Motivation in education: Theory, research and applications. Prentice Hall Merrill.
   Google Scholar
• Pintrich, P.R., Smith, D.A., Garcia, T., & McKeachie, W.J. (1991). A manual for the use of the motivated strategies for learning questionnaire (MSLQ). The University of Michigan Press.
   Google Scholar
• Qin, L., & Zhang, L.J. (2019). English as a foreign language writers’ metacognitive strategy knowledge of writing and their writing performance in multimedia environments. Journal of Writing Research, 12(vol. 11 issue 2), 393–413. https://doi.org/10.17239/jowr-2019.11.02.06
   Google Scholar
• Raykov, T., & Marcoulides, G.A. (2008). An introduction to applied multivariate analysis. Routledge.
   Google Scholar
• Schoonen, R., Gelderen, A.V., Glopper, K.D., Hulstijn, J., Simis, A., Snellings, P., & Stevenson, M. (2003). First language and second language writing: The role of linguistic knowledge, speed of processing, and metacognitive knowledge. Language Learning, 53(1), 165–202. https://doi.org/10.1111/1467-9922.00213
   Web of Science ®Google Scholar
• Schraw, G. (1998). Promoting general metacognitive awareness. Instructional Science, 26(1/2), 113–125. https://doi.org/10.1023/A:1003044231033
   Web of Science ®Google Scholar
• Schraw, G., & Dennison, R. (1994). Assessing metacognitive awareness. Contemporary Educational Psychology, 19(4), 460–475. https://doi.org/10.1006/ceps.1994.1033
   Web of Science ®Google Scholar
• Schunk, D.H., & Zimmerman, B.J. (1997). Social origins of self-regulatory competence. Educational Psychologist, 32(4), 195–208. https://doi.org/10.1207/s15326985ep3204_1
   Web of Science ®Google Scholar
• Schwinger, M., Steinmayr, R., & Spinath, B. (2009). How do motivational regulation strategies affect achievement: Mediated by effort management and moderated by intelligence. Learning and Individual Differences, 19(4), 621–627. https://doi.org/10.1016/j.lindif.2009.08.006
   Web of Science ®Google Scholar
• Shaver, K.G. (2016). An introduction to attribution processes. Routledge.
   Google Scholar
• Sun, Q., & Zhang, L.J. (2022). Examining the effects of English as a foreign language student-writers’ metacognitive experiences on their writing performance. Current Psychology, 42(1), 23743–23758. https://doi.org/10.1007/s12144-022-03416
   Web of Science ®Google Scholar
• Teng, F. (2016). Immediate and delayed effects of embedded metacognitive instruction on Chinese EFL students’ English writing and regulation of cognition. Thinking Skills & Creativity, 22, 289–302. https://doi.org/10.1016/j.tsc.2016.06.005
   Web of Science ®Google Scholar
• Teng, F. (2019). A comparison of text structure and self-regulated strategy instruction for elementary school students’ writing. English Teaching: Practice & Critique, 18(3), 281–297. https://doi.org/10.1108/ETPC-07-2018-0070
   Web of Science ®Google Scholar
• Teng, F. (2020). The role of metacognitive knowledge and regulation in mediating university EFL learners’ writing performance. Innovation in Language Learning and Teaching, 14(5), 436–450. https://doi.org/10.1080/17501229.2019.1615493
   Web of Science ®Google Scholar
• Teng, F. (2021). The effectiveness of incorporating metacognitive prompts in collaborative writing on academic English writing skills. Applied Cognitive Psychology, 35(3), 659–673. https://doi.org/10.1002/acp.3789
   Web of Science ®Google Scholar
• Teng, F. (2023). Metacognition. In Z. Wen, B. Adriana, B. Mailce, & F. Teng (Eds.), Cognitive individual differences in second language acquisition: Theory, assessment & pedagogy (pp. 175–199). De Gruyter Mounton.
   Google Scholar
• Teng, F., & Huang, J. (2019). Predictive effects of writing strategies for self-regulated learning on secondary school learners’ EFL writing proficiency. TESOL Quarterly, 53(1), 232–247. https://doi.org/10.1002/tesq.462
   Web of Science ®Google Scholar
• Teng, F., & Ma, M. (2024). Assessing metacognition-based student feedback literacy for academic writing. Assessing Writing, 59, 100811. https://doi.org/10.1016/j.asw.2024.100811
   Google Scholar
• Teng, F., Qin, C., & Wang, C. (2022). Validation of metacognitive academic writing strategies and the predictive effects on academic writing performance in a foreign language context. Metacognition and Learning, 17(1), 167–190. https://doi.org/10.1007/s11409-021-09278-4
   PubMed Web of Science ®Google Scholar
• Teng, F., Wang, C., & Zhang, L.J. (2022). Assessing self-regulatory writing strategies and their predictive effects on young EFL learners’ writing performance. Assessing Writing, 51, 100573. https://doi.org/10.1016/j.asw.2021.100573
   Web of Science ®Google Scholar
• Teng, F., & Yue, M. (2023). Metacognitive writing strategies, critical thinking skills, and academic writing performance: A structural equation modeling approach. Metacognition and Learning, 18(1), 237–260. https://doi.org/10.1007/s11409-022-09328-5
   Web of Science ®Google Scholar
• Teng, F., & Zhan, Y. (2023). Assessing self-regulated writing strategies, self-efficacy, task complexity, and performance in English academic writing. Assessing Writing, 57, 100728. https://doi.org/10.1016/j.asw.2023.100728
   Web of Science ®Google Scholar
• Teng, F., & Zhang, L.J. (2024). Assessing self-regulated writing strategies, working memory, L2 proficiency level, and multimedia writing performance. Language Awareness, 1–26. https://doi.org/10.1080/09658416.2023.2300269
   Web of Science ®Google Scholar
• Teng, L.S., & Zhang, L.J. (2016). A questionnaire-based validation of multidimensional models of self-regulated learning strategies. The Modern Language Journal, 100(3), 674–701. https://doi.org/10.1111/modl.12339
   Web of Science ®Google Scholar
• Ting, Y.L. (2015). Tapping into students’ digital literacy and designing negotiated learning to promote learner autonomy. The Internet and Higher Education, 26, 25–32. https://doi.org/10.1016/j.iheduc.2015.04.004
   Web of Science ®Google Scholar
• Van den Boom, G., Paas, F., & van Merrienboer, J.J.G. (2007). Effects of elicited reflections combined with tutor or peer feedback on self-regulated learning and learning outcomes. Computers in Human Behavior, 17(5), 532–548. https://doi.org/10.1016/j.learninstruc.2007.09.003
   Google Scholar
• Wang, C., & Bai, B. (2017). Validating the instruments to measure ESL / EFL learners’ self-efficacy beliefs and self-regulated learning strategies. TESOL Quarterly, 51(4), 931–947. https://doi.org/10.1002/tesq.355
   Web of Science ®Google Scholar
• Winne, P.H. (2011). A cognitive and metacognitive analysis of self-regulated learning. In B.J. Zimmerman & D.H. Schunk (Eds.), Handbook of self-regulation of learning and performance (pp. 15–32). Routledge.
   Google Scholar
• Winne, P.H. (2017). Cognition and metacognition within self-regulated learning. In B. Zimmerman & D. Schunk (Eds.), Handbook of self-regulation of learning and performance (pp. 52–64). Routledge.
   Google Scholar
• Wolters, C. (1998). Self-regulated learning and college students’ regulation of motivation. Journal of Educational Psychology, 90(2), 224–235. https://doi.org/10.1037/0022-0663.90.2.224
   Web of Science ®Google Scholar
• Xiao, W. (2011). Metacognition and foreign language learning. Shanghai Jiaotong University Press.
   Google Scholar
• Zabihi, R. (2018). The role of cognitive and affective factors in measures of L2 writing. Written Communication, 35(1), 32–57. https://doi.org/10.1177/0741088317735836
   Web of Science ®Google Scholar
• Zhang, L.J., & Qin, L.M. (2018). Validating a questionnaire on EFL writers’ metacognitive awareness of writing strategies in multimedia environments. In Å. Haukås, C. Bjørke, & M. Dypedahl (Eds.), Metacognition in language learning and teaching (pp. 157–178). Routledge.
   Google Scholar
• Zimmerman, B.J. (1998). Developing self-fulfilling cycles of academic regulation: An analysis of exemplary instructional models. In D.H. Schunk & B.J. Zimmerman (Eds.), Self-regulated learning: From teaching to self-reflective practice (pp. 1–19). Guilford Press.
   Google Scholar
• Zimmerman, B.J. (2011). Motivational sources and outcomes of self-regulated learning and performance. In B.J. Zimmerman & D.H. Schunk (Eds.), Handbook of self-regulation of learning and performance (pp. 49–64). Lawrence Erlbaum.
   Google Scholar
• Zimmerman, B.J. (2013). From cognitive modeling to self-regulation: A social cognitive career path. Educational Psychologists, 48(3), 135–147. https://doi.org/10.1080/00461520.2013.794676
   Web of Science ®Google Scholar
• Zimmerman, B.J., & Moylan, A.R. (2009). Self-regulation: Where metacognition and motivation intersect. In D.J. Hacker, J. Dunlosky, & A.C. Graesser (Eds.), Handbook of metacognition in education (pp. 299–315). Routledge.
   Google Scholar
• Zimmerman, B.J., & Risemberg, R. (1997). Becoming a self-regulated writer: A social cognitive perspective. Contemporary Educational Psychology, 22(1), 73–101. https://doi.org/10.1006/ceps.1997.0919.
   Web of Science ®Google Scholar
• Zimmerman, B.J., & Schunk, D.H. (2011). Self-regulated learning and performance: An introduction and an overview. In B.J. Zimmerman & D.H. Schunk (Eds.), Handbook of self-regulation of learning and performance (pp. 1–12). Routledge/Taylor & Francis.
   Google Scholar
• Zimmerman, B.J., & Tsikalas, K.E. (2005). Can computer-based learning environments (CBLEs) be used as self-regulatory tools to enhance learning? Educational Psychologist, 40(4), 267–271. https://doi.org/10.1207/s15326985ep4004_8
   Web of Science ®Google Scholar