The aim of this study was to investigate the pre-service teachers’ metacognitive activities occurring in the teaching scientific reasoning skills with the POE technique. The participants of the research included six pre-service science teachers who were seniors in the science education department of at a university in the west of Turkey. The holistic single-case design was used as the research method in this study. The POE Activity Report, an Activity Journal and a Semi-structured Metacognition Observation Form were used to examine the participants’ metacognitive activities. Inductive and comparative analysis was used to. It was found that (i) the pre-service teachers performed various monitoring activities (f = 13) and evaluating activities (f = 4) in the teaching of six different scientific reasoning skills (control of variables, proportional reasoning, correlation reasoning, probability reasoning, combinational reasoning, hypothetical-deductive reasoning) with the POE technique; (ii) there was more variety in metacognitive activities performed by pre-service teachers in teaching of control of variables (f = 15), there was least diversity in the teaching of hypothetical-deductive reasoning skill (f = 10). The results were discussed in line with the related literature, and suggestions were presented regarding the teaching of scientific reasoning skills.
Scientific Reasoning, Metacognitive Activities, POE Technique
Ackerman, R., & Thompson, V. A. (2017). Meta-reasoning: Monitoring and control of thinking and reasoning. Trends in Cognitive Sciences, 21(8): 607-617. DOI: https://doi.org/10.1016/j.tics.2017.05.004
Alavi, S. M., & Kaivanpanah, S. (2006). Cognitive and metacognitive vocabulary learning strategies across fields of study. Pazhuhesh-e Zabanha-ye Khareji, 27:83-105.
Alexander, J. M., Carr, M., & Schwanenflugel, P. J. (1995). Development of metacognition in gifted children: Directions for future research. Developmental Review, 15(1):1-37. DOI: https://doi.org/10.1006/drev.1995.1001
Amsel, E., Klaczynski, P. A., Johnston, A., Bench, S., Close, J., Sadler, E., & Walker, R. (2008). A dual-process account of the development of scientific reasoning: The nature and development of metacognitive intercession skills. Cognitive Development, 23(4):452-471. DOI: https://doi.org/10.1016/j.cogdev.2008.09.002
Andersen, C., & Garcia-Mila, M. (2017). Scientific reasoning during the inquiry: Teaching for metacognition. In K. S. Taber & B. Akpan (Eds.), Science Education (pp. 105-117). Brill Sense.
Anderson, L. W., & Krathwohl, D. R. (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom’s taxonomy of educational objectives. Longman.
Anthonysamy, L., Koo, A. C., & Hew, S. H. (2020). Self-regulated learning strategies and non-academic outcomes in higher education blended learning environments: A one decade review. Education and Information Technologies, 25(5):3677-3704. DOI: https://doi.org/0.1007/s10639-020-10134-2
Antonietti, A., Colombo, B., & Di Nuzzo, C. (2015). Metacognition in self-regulated multimedia learning: Integrating behavioral, psychophysiological and introspective measures. Learning, Media and Technology, 40(2):187-209. DOI: https://doi.org/10.1080/17439884.2014.933112
Artzt, A. F., & Armour-Thomas, E. (1998). Mathematics teaching as problem solving: A framework for studying teacher metacognition underlying instructional practice in mathematics. Instructional Science, 26(1):5-25. DOI: https://doi.org/10.1023/A:1003083812378
Azevedo, R., Moos, D. C., Johnson, A. M., & Chauncey, A. D. (2010). Measuring cognitive and metacognitive regulatory processes during hypermedia learning: Issues and challenges. Educational Psychologist, 45(4):210-223. DOI: https://doi.org/10.1080/00461520.2010.515934
Bajar-Sales, P. A., Avilla, R. A., & Camacho, V. M. I. (2015). Predict-explain-observe-explain (PEOE) approach: Tool in relating metacognition to achievement in chemistry. The Electronic Journal for Research in Science & Mathematics Education, 19(7).
Bannert, M., Sonnenberg, C., Mengelkamp, C., & Pieger, E. (2015). Short- and long-term effects of students’ self-directed metacognitive prompts on navigation behavior and learning performance. Computers in Human Behavior, 52:293-306. DOI: https://doi.org/10.1016/j.chb.2015.05.038
Berardi-Coletta, B., Buyer, L.S., Dominowski, R.L., & Rellinger, E.R. (1995). Metacognition and problem solving: A process-oriented approach. Journal of Experimental Psychology, 21(1):205-223. DOI: https://doi.org/10.1037/0278-73188.8.131.52
Berger, J. L., & Karabenick, S. A. (2016). Construct validity of self-reported metacognitive learning strategies. Educational Assessment, 21(1): 9-33. DOI: https://doi.org/10.1080/10627197.2015.1127751
Bjorklund, D. (1990). Children’s strategies: Contemporary views of cognitive development. Lawrence Erlbaum Associates.
Braaten, M., & Windschitl, M. (2011). Working toward a stronger conceptualization of scientific explanation for science education. Science Education, 95(4):639-669. DOI: https://doi.org/10.1002/sce.20449
Boekaerts, M. (1995). Self-regulated learning: Bridging the gap between metacognitive and metamotivation theories. Educational Psychologist, 30(4):195-200. DOI: https://doi.org/10.1207/s15326985ep3004_4
Boser, U. (2018). Learning is a learned behavior. Here’s how to get better at it. Harvard Business Review. Available at: https://centerforresolution.org/wp-content/uploads/2021/03/Learning-Is-a-Learned-Behavior.-Heres-How-to-Get-Better-at-It._compressed.pdf
BouJaoude, S., Salloum, S., & Abd-El-Khalick, F. (2004). Research report: Relationships between selective cognitive variables and students’ ability to solve chemistry problems. International Journal of Science Education, 26(1):63-84. DOI: http://dx.doi.org/10.1080/0950069032000070315
Chang, J. L., Chen, C. C., Tsai, C. H., Chen, Y. C., Chou, M. H., & Chang, L. C. (2013). Probing and fostering students’ reasoning abilities with a cyclic predict-observe-explain strategy. In M.-H. Chiu et al (Eds.), Chemistry Education and Sustainability in The Global Age (pp. 49-57). Springer. DOI: https://doi.org/10.1007/978-94-007-4860-6_5
Chatzipanteli, A., Grammatikopoulos, V., & Gregoriadis, A. (2013). Development and evaluation of metacognition in early childhood education. Early Child Development and Care, 184(8):1223-1232. DOI: https://doi.org/10.1080/03004430.2013.861456
Chen, X. (2013). Meta-teaching: Meaning and strategy. Africa Education Review, 10(1):63-74. DOI: https://doi.org/10.1080/18146627.2013.855431
Choowong, K., & Worapun, W. (2021). The development of scientific reasoning ability on concept of light and ımage of grade 9 students by using inquiry-based learning 5E with prediction observation and explanation strategy. Journal of Education and Learning, 10(5):152-159. DOI: https://doi.org/10.5539/jel.v10n5p152
Chytrý, V., Nováková, A., Rícan, J., & Simonová, I. (2018, July). Comparative analysis of online and printed form of testing in scientific reasoning and metacognitive monitoring. In 2018 İnternational Symposium on Educational Technology (ISET) (pp. 13-17). IEEE.
Crowley, K., Shrager, J., & Siegler, R. S. (1997). Strategy discovery as a competitive negotiation between metacognitive and associative mechanisms. Developmental Review, 17(4):462-489. DOI: https://doi.org/10.1006/drev.1997.0442
Duncan, T. G., & McKeachie, W. J. (2005). The making of the motivated strategies for learning questionnaire. Educational Psychologist, 40(2):117-128. DOI: https://doi.org/10.1207/s15326985ep4002_6
Efklides, A. (2006). Metacognition and affect: What can metacognitive experiences tell us about the learning process? Educational Research Review, 1(1):3-14. DOI: https://doi.org/10.1016/j.edurev.2005.11.001
Efklides, A., & Misailidi, P. (2010). Introduction: The present and the future in metacognition. In A. Efklides & P. Misailidi (Eds.), Trends and Prospects in Metacognition Research (pp. 1-18). Springer.
Engelmann, K., Neuhaus, B. J., & Fischer, F. (2016). Fostering scientific reasoning in education–meta-analytic evidence from intervention studies. Educational Research and Evaluation, 22(5-6):333-349. DOI: https://doi.org/10.1080/13803611.2016.1240089
Ersözlü, Z., & Çoban, H. (2012). The relationship between candidate teachers’ mathematical reasoning skills and their levels of using metacognitive learning strategies. Mustafa Kemal Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 9(19):205-221.
Fauzi, A., & Sa’diyah, W. (2019). The metacognition of pre-service biology teachers: Awareness, skills, understanding, and practices. Advances in Social Science, Education and Humanities Research, 349:27-32. DOI: https://doi.org/10.2991/iccd-19.2019.8
Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive-developmental inquiry. American Psychologist, 34(10):906-911. DOI: https://doi.org/10.1037/0003-066X.34.10.906
Garcia, L. C. (2015). Environmental science issues for higher-order thinking skills (HOTS) development: A case study in the Philippines. In E. G. S. Daniel (Ed.), Biology Education and Research in a Changing Planet (pp. 45-54). Springer.
Garner, R. (1990). When children and adults do not use learning strategies: Toward a theory of settings. Review of Educational Research, 60(4):517-529. DOI: https://doi.org/10.3102/00346543060004517
Gillies, R. M., Nichols, K., & Burgh, G. (2011). Promoting problem solving and reasoning during cooperative inquiry science. Teaching Education, 22(4):427-443. DOI: https://doi.org/10.1080/10476210.2011.610448
Glaze, A. L. (2018). Teaching and learning science in the 21st century: Challenging critical assumptions in post-secondary science. Education Sciences, 8(12):1-8. DOI: http://doi.org/10.3390/educsci8010012
Gunstone, R. F., & Mitchell, I. J. (1998). Metacognition and conceptual change. In J. J. Mintzes, J. H. Wandersee & J. D. Novak (Eds.), Teaching Science for Understanding: A Human Constructivist View (pp.133-163). Academic Press.
Ha, M., Sya’bandari, Y., Rusmana, A. N., Aini, R. Q., & Fadillah, S. M. (2021). Comprehensive analysis of the fort instrument: Using distractor analysis to explore students’ scientific reasoning based on academic level and gender difference. Journal of Baltic Science Education, 20(6):906. DOI: https://doi.org/10.33225/jbse/21.20.906
Hartman, H. J. (2001). Teaching metacognitively. In H. J. Hartman (Ed.), Metacognition in Learning and Instruction (pp. 149-172). Springer.
Haryani, S., Wijayati, N., & Kurniawan, C. (2018, March). Improvement of metacognitive skills and students’ reasoning ability through problem-based learning. Journal of Physics: Conference Series, 983(1):012174. DOI: https://doi.org/10.1088/1742-6596/983/1/012174
Hashemyolia, S., Asmuni, A., Ayub, A. F. M., Daud, S. M., & Shah, J. A. (2015). Motivation to use self regulated learning strategies in learning management system amongst science and social science undergraduates. Asian Social Science, 11(3):49-56. DOI: http://dx.doi.org/10.5539/ass.v11n3p49
Haynie, J. M., Shepherd, D., Mosakowski, E., & Earley, P. C. (2010). A situated metacognitive model of the entrepreneurial mindset. Journal of Business Venturing, 25(2):217-229. DOI: https://doi.org/10.1016/j.jbusvent.2008.10.001
Hennessey, M. G. (1999). Probing the dimensions of metacognition: Implications for conceptual change teaching-learning. Paper presented at the annual meeting of the National Association for Research in Science Teaching, Boston, MA.
Hofstein, A., Dkeidek, I., Katchevitch, D., Nahum, T. L., Kipnis, M., Navon, O., . & Mamlok‐Naaman, R. (2019). Research on and development of inquiry‐type chemistry laboratories in Israel. Israel Journal of Chemistry, 59(6-7):514-523. DOI: https://doi.org/10.1002/ijch.201800056
James, N. M., Kreager, B. Z., & LaDue, N. D. (2022). Predict-observe-explain activities preserve introductory geology students’ self-efficacy. Journal of Geoscience Education, 70(2):238-249. DOI: https://doi.org/10.1080/10899995.2021.1906593
Ikeda, M., & Takeuchi, O. (2000). Tasks and strategy use: Empirical implications for questionnaire studies. JACET Bulletin, 31:21-32.
Karadeniz, A., Koçak Altundağ, C., & Yücel, S. A. (2020). Tahmin et- gözle- açıkla yöntemi destekli etkinliklerin lise öğrencilerinin üst bilişsel farkındalıkları üzerine etkisinin araştırılması [Investigating the effects of materials supported with POE (prediction-observation-explanation) method on high school students metacognition awareness]. Bolu Abant İzzet Baysal Üniversitesi Eğitim Fakültesi Dergisi, 20(4):1881-1898. DOI: https://doi.org/10.17240/aibuefd.2020.20.58249-648859
Kearney, M., Treagust, D. F., Yeo, S., & Zadnik, M. G. (2001). Student and teacher perceptions of the use of multimedia supported predict–observe–explain tasks to probe understanding. Research in Science Education, 31(4): 589-615. DOI: https://doi.org/10.1023/A:1013106209449
Klaczynski, P. A., & Narasimham, G. (1998). Development of scientific reasoning biases: Cognitive versus ego-protective explanations. Developmental Psychology, 34(1):175. DOI: https://doi.org/10.1037/0012-16184.108.40.206
Kleitman, S., & Moscrop, T. (2010). Self-confidence and academic achievements in primary-school children. In A. Efklides & P. Misailidi (Eds.), Trends and Prospects in Metacognition Research (pp. 1-18). Springer
Kuhn, D. (2011). What is scientific thinking and how does it develop? In U. Goswami (Ed.), Handbook of Childhood Cognitive Development (2nd ed., pp. 497-523). Blackwell.
Ku, K. Y., & Ho, I. T. (2010). Metacognitive strategies that enhance critical thinking. Metacognition and Learning, 5(3):251-267. DOI: https://doi.org/10.1007/s11409-010-9060-6
Kuhn, D., & Dean, Jr, D. (2004). Metacognition: A bridge between cognitive psychology and educational practice. Theory Into Practice, 43(4):268-273. DOI: https://doi.org/10.1207/s15430421tip4304_4
Lawson, A. E. (2004). The nature and development of scientific reasoning: A synthetic view. International Journal of Science and Mathematics Education, 2(3):307-338. DOI: https://doi.org/10.1007/s10763-004-3224-2
Lawson, A. E. (2010). Basic inferences of scientific reasoning, argumentation, and discovery. Science Education, 94(2):336-364. DOI: https://doi.org/10.1002/sce.20357
Limueco, J., & Prudente, M. (2018). Predicting progression trends of scientific reasoning skills and metacognitive awareness among secondary level students. Paper presented at the DLSU Research Congress, Manila, June 20-22. Available at: https://www.dlsu.edu.ph/wp-content/uploads/pdf/conferences/research-congress-proceedings/2018/lli-14.pdf
Livingston, J. A. (2003). Metacognition: An overview. (ERIC Document Reproduction Service No. ED474273). Education Resources Information Center. https://eric.ed.gov/?id=ED474273
Magno, C. (2011). Assessing the relationship of scientific thinking, self-regulation in research, and creativity in a measurement model. International Journal of Research & Review, 6(1):17-47.
Mahajan, M., & Sarjit Singh, M. K. (2017). Importance and benefits of learning outcomes. IOSR Journal of Humanities and Social Science, 22(3):65-67. DOI: https://doi.org/10.9790/0837-2203056567
Manlove, S., Lazonder, A. W., & de Jong, T. (2009). Trends and issues of regulative support use during inquiry learning: Patterns from three studies. Computers in Human Behavior, 25(4):795-803. DOI: https://doi.org/10.1016/J.CHB.2008.07.010
Marušić, M., & Sliško, J. (2012). Influence of three different methods of teaching physics on the gain in students’ development of reasoning. International Journal of Science Education, 34(2):301-326. DOI: http://dx.doi.org/10.1080/09500693.2011.582522
Meijer, J., Veenman, M. V. J., & van Hout-Wolters, B. H. (2006). Metacognitive activities in text-studying and problem-solving: Development of a taxonomy. Educational Research and Evaluation, 12(3):209-237. DOI: https://doi.org/10.1080/13803610500479991
Meijer, J., Veenman, M. V., & van Hout-Wolters, B. (2012). Multi-domain, multi-method measures of metacognitive activity: what is all the fuss about metacognition… indeed? Research Papers in Education, 27(5):597-627. DOI: https://doi.org/10.1080/02671522.2010.550011
Merriam, S. B., & Tisdell, E. J. (2016). Qualitative research: A guide to design and implementation (4th ed.). John Wiley & Sons.
Mevarech, Z. R., & Fan, L. (2018). Cognition, metacognition, and mathematics literacy. In Y. J. Dori, Z. R.
Mevarech, & D. R. Baker (Eds.), Cognition, Metacognition, Culture in STEM Education (pp. 261-278). Springer. DOI: https://doi.org/10.1007/978-3-319-66659-4_12
Mevarech, Z. R., & Kramarski, B. (2003). The effects of metacognitive training versus worked-out examples on students’ mathematical reasoning. The British Journal of Educational Psychology, 73(4):449-471. DOI: https://doi.org/10.1348/000709903322591181
Mevarech, Z., & Fridkin, S. (2006). The effects of IMPROVE on mathematical knowledge, mathematical reasoning and meta-cognition. Metacognition and Learning, 1(1):85-97. DOI: https://doi.org/10.1007/s11409-006-6584-x
Morris, B. J., Croker, S., Masnick, A. M., & Zimmerman, C. (2012). The emergence of scientific reasoning. In H. Kloos, B. J. Morris, & J. L. Amaral (Eds.), Current Topics in Children’s Learning and Cognition (pp. 61-82). InTech.
O’Malley, J. M. & Chamot, A. U. (1990). Learning Strategies in Second Language Acquisition. Cambridge University. https://doi.org/10.1017/CBO9781139524490
Omarchevska, Y., Lachner, A., Richter, J., & Scheiter, K. (2022a). It takes two to tango: How scientific reasoning and self-regulation processes impact argumentation quality. Journal of the Learning Sciences, 31(2):237-277. DOI: https://doi.org/10.1080/10508406.2021.1966633
Omarchevska, Y., Lachner, A., Richter, J., & Scheiter, K. (2022b). Do video modeling and metacognitive prompts ımprove self-regulated scientific ınquiry? Educational Psychology Review, 34(2):1025-1061. DOI: https://doi.org/10.1007/s10648-021-09652-3
Ozturk, N. (2017). An analysis of teachers’ self-reported competencies for teaching metacognition. Educational Studies, 43(3):247-264. DOI: https://doi.org/10.1080/03055698.2016.1273761
Pascual-Leone, J. (1970). A mathematical model for the transition rule in Piaget’s developmental stages. Acta Psvchologica, 32:301-345. DOI: https://doi.org/10.1016/0001-6918(70)90108-3
Pascual-Leone, J., & Johnson, J. (2005). A dialectical constructivist view of developmental intelligence. In O. Wilhelm & R. Engle (Eds.), Handbook of Understanding and Measuring Intelligence (pp. 177-201). Sage.
Pearson, P. D., & Cervetti, G. N. (2017). The roots of reading comprehension instruction. In S. E. Israel (Ed.), Handbook of Research on Reading Comprehension (2nd edition) (pp. 12-56). The Guilford Press.
Pedaste, M., Mäeots, M., Leijen, Ä., & Sarapuu, T. (2012). Improving students’ inquiry skills through reflection and self-regulation scaffolds. Technology, Instruction, Cognition and Learning, 9(1-2):81-95. DOI: https://doi.org/10.1109/icalt.2008.239
Peña-Ayala, A., & Cárdenas, L. (2015). A conceptual model of the metacognitive activity. In A. Peña-Ayala (Ed.), Metacognition: Fundaments, Applications, and Trends (pp. 39-72). Springer, Cham.
Phakiti, A. (2008). Strategic competence as a fourth-order factor model: A structural equation modeling approach. Language Assessment Quarterly, 5(1):20-42, DOI: https://doi.org/10.1080/15434300701533596
Pieger, E., & Bannert, M. (2018). Differential effects of students’ self-directed metacognitive prompts. Computers in Human Behavior, 86:165-173. DOI: https://doi.org/10.1016/j.chb.2018.04.022
Pintrich, P. R. (2002). The role of metacognitive knowledge in learning, teaching, and assessing. Theory into Practice, 41(4):219-225. DOI: https://doi.org/10.1207/s15430421tip4104_3
Richter, T., & Schmid, S. (2010). Epistemological beliefs and epistemic strategies in self-regulated learning. Metacognition and Learning, 5(1):47-65. DOI: https://doi.org/10.1007/s11409-009-9038-4
Rickey, D., & Stacey, A. M. (2000). The role of metacognition in learning chemistry. Journal of Chemical Education, 77(7):915- 916. DOI: https://doi.org/10.1021/ed077p915
Schraw, G. (1998). Promoting general metacognitive awareness. Instructional Science, 26(1):113-125. DOI: https://doi.org/10.1023/A:1003044231033
Schraw, G., & Dennison. R. S. (1994). Assessing metacognitive awareness. Contemporary Educational Psychology, 19(4):460-475. DOI: https://doi.org/10.1006/ceps.1994.1033
Schraw, G., & Moshman, D. (1995). Metacognitive theories. Educational Psychology Review, 7(4):351-371. DOI: https://doi.org/10.1007/BF02212307
Schraw, G., Crippen, K. P., & Hartley, K. (2006). Promoting selfregulation in science education: metacognition as part of a broader perspective on learning. Research in Science Education, 36(1-2):111-139. DOI: https://doi.org/10.1007/s11165-005-3917-8
Schunk, D. H., & Zimmerman, B. J. (Eds.). (1998). Self-regulated learning: From teaching to self reflective practice. Guilford Press.
Simpson, B., & Willer, R. (2015). Beyond altruism: Sociological foundations of cooperation and prosocial behavior. Annual Review of Sociology, 41(1):43-63. DOI: https://doi.org/10.1146/annurev-soc-073014-112242
Sulaiman, T., Rahim, A., Syrene, S., & Yan, K. (2021). Primary science teachers’ perspectives about metacognition in science teaching. European Journal of Educational Research, 10(1):75-84. DOI: https://doi.org/10.12973/eujer.10.1.75
Supeno, S., Astutik, S., Bektiarso, S., Lesmono, A. D., & Nuraini, L. (2019, March). What can students show about higher order thinking skills in physics learning? IOP Conference Series: Earth and Environmental Science, 243(1):012127. DOI: https://doi.org/10.1088/1755-1315/243/1/012127
Taub, M., Azevedo, R., Bradbury, A. E., Millar, G. C., & Lester, J. (2018). Using sequence mining to reveal the efficiency in scientific reasoning during STEM learning with a game-based learning environment. Learning and Instruction, 54:93-103. DOI: http://dx.doi.org/10.1016/j.learninstruc.2017.08.005
Thomas G. P. (2015). Metacognition and science learning. In R. Gunstone (Ed.), Encyclopedia of Science Education. Springer, Dordrecht. DOI: https://doi.org/10.1007/978-94-007-2150-0_343
Tsaparlis, G., & Angelopoulos, V. (2000). A model of problem solving: Its operation, validity, and usefulness in the case of organic synthesis problems. Science Education, 84:131-53. https://doi.org/10.1002/(SICI)1098-237X(200003)84:2<131::AID-SCE1>3.0.CO;2-4
Tschirgi, J. E. (1980). Sensible reasoning: A hypothesis about hypotheses. Child Development, 51:1-10. DOI: http://dx.doi.org/10.2307/1129583
Van Merrienboer, J. J., & Sweller, J. (2005). Cognitive load theory and complex learning: Recent developments and future directions. Educational Psychology Review, 17(2):147-177. DOI: https://doi.org/10.1007/s10648-005-3951-0
Vandergrift, L. (1997). The comprehension strategies of second language (French) listeners: A descriptive study. Foreign Language Annals, 30(3):387-409. DOI: https://doi.org/10.1111/j.1944-9720.1997.tb02362.x
Veenman, M. V. J. (2011). Learning to self-monitor and to self-regulate. In R. E. Mayer & P. A. Alexander (Eds.), Handbook of Research on Learning and Instruction (pp. 197-218). Routledge.
Veenman, M. V. J., Van Hout-Wolters, B. H. A. M., & Afflerbach, P. (2006). Metacognition and learning: Conceptual and methodological considerations. Metacognition and Learning, 1:3-14. DOI: https://doi.org/10.1007/s11409-006-6893-0
White, B. Y., & Frederiksen, J. R. (1998). Inquiry, modeling, and metacognition: Making science accessible to all students. Cognition and Instruction, 16(1):3-118. DOI: https://doi.org/10.1207/s1532 690xci1601_2
White, B. Y., Frederiksen, J. R., & Collins, A. (2009). The interplay of scientific inquiry and metacognition: More than a marriage of convenience. In D. Hacker, J. Dunlosky, & A. Graesser (Eds.), Handbook of Metacognition in Education (pp. 175-205). Routledge.
White, R., & Gunstone, R. (1992). Probing understanding. The Falmer Press. Available at: https://books.google.com.tr/books?id=kShpAwAAQBAJ&printsec=frontcover&hl=tr&source=gbs_ge_summary_r&cad=0#v=onepage&q&f=false
Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). Sage publications.
Yüksel, İ. & Ateş, S. (2017). The effects of two approaches on devoloping reasoning skills of preservice science teachers. International Journal on Trends in Education and Their Implications, 8(3):19-35. Available at: http://www.ijonte.org/FileUpload/ks63207/File/03.ibrahim_yuksel.pdf
Yürük, N. (2005). An analysis of the nature of students’ metaconceptual processes and the effectiveness of metaconceptual teaching practices on students’ conceptual understanding of force and motion. Ph.D. diss., The Ohio State University, Columbus.
Zepeda, C. D., Hlutkowsky, C. O., Partika, A. C., & Nokes-Malach, T. J. (2019). Identifying teachers’ supports of metacognition through classroom talk and its relation to growth in conceptual learning. Journal of Educational Psychology, 111(3): 522-541. DOI: https://doi.org/10.1037/edu0000300
Zimmerman, C. (2000). The development of scientific reasoning skills. Developmental Review, 20(1):99-149. DOI: https://doi.org/10.1006/drev.1999.0497
Zimmerman, C. (2005). The development of scientific reasoning skills: What psychologists contribute to an understanding of elementary science learning. Final Draft of a Report to the National Research Council Committee on Science Learning Kindergarten through Eighth Grade. Illinois State University. Available at: https://sites.nationalacademies.org/cs/groups/dbassesite/documents/webpage/dbasse_080105.pdf
Zimmerman, C. (2007). The development of scientific thinking skills in elementary and middle school. Developmental Review, 27:172-223. DOI: https://doi.org/10.1016/j.dr.2006.12.001
Zohar, A. (2012). Explicit teaching of metastrategic knowledge: Definitions, students’ learning, and teachers’ professional development. In A. Zohar & Y. J. Dori (Eds.), Metacognition in Science Education: Trends in Current Research (pp. 197-224). Springer. DOI: https://doi.org/10.1007/978-94-007-2132-6
Zohar, A., & David, A. B. (2008). Explicit teaching of meta-strategic knowledge in authentic classroom situations. Metacognition and Learning, 3(1):59-82. DOI: https://doi.org/10.1007/s11409-007-9019-4
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