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References
- Anderson, L. W. (ed), Krathwohl, D. R. (ed), Airasian, P. W., Cruikshank, K. A., Mayer, R. E., Pintrich, P. R., Raths, J. & Wittrock, M. C. (2001) A taxonomy for learning, teaching, and assessing: A revision of Bloom’s Taxonomy of Educational Objectives (Complete edition). Longman.
- Arnon, I., Cottrill, J., Dubinsky, E. D., Oktaç, A., Fuentes, S. R., Trigueros, M., & Weller, K. (2014). APOS theory: A framework for research and curriculum development in mathematics education. Springer. https://doi.org/10.1007/978-1-4614-7966-6
- Averill, R., Anderson, D., Easton, H., Te Maro, P., Smith, D., & Hynds, A. (2009). Culturally responsive teaching of mathematics: Three models from linked studies. Journal for Research in Mathematics Education, 40(2), 157–186. https://doi.org/10.2307/40539330
- Buchs, C. & Butera, F. (2004). Socio-cognitive conflict and the role of student interaction in learning. New Review of Social Psychology, 3(1-2), 80–87. https://serval.unil.ch/resource/serval:BIB_33859.P001/REF.pdf
- Cevikbas, M., & Kaiser, G. (2021). A systematic review on task design in dynamic and interactive mathematics learning environments (DIMLEs). Mathematics, 9(4), 399. https://doi.org/10.3390/math9040399
- Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th edition). Sage publications.
- Den Braber, N., Krüger, J., Mazereeuw, M., & Kuiper, W. (2019). Reflecting on the value of mathematics in an interdisciplinary STEM course. In Eleventh Congress of the European Society for Research in Mathematics Education (No. 8). Freudenthal Group; Freudenthal Institute; ERME. https://hal.science/hal-02410367
- Di Martino, P. (2019). The complex relationship between mathematical modeling and attitude towards mathematics. S. A. Chamberlin, B. Sriraman (Eds.), Affect in Mathematical Modeling, Advances in Mathematics Education (pp. 219–234). Springer. https://doi.org/10.1007/978-3-030-04432-9_14
- Dreher, A., & Kuntze, S. (2015). Teachers’ professional knowledge and noticing: The case of multiple representations in the mathematics classroom. Educational Studies in Mathematics, 88(1), 89–114. https://doi.org/10.1007/s10649-014-9577-8
- English, L. D. (2017). Advancing elementary and middle school STEM education. International Journal of Science and Mathematics Education, 15(1), 5–24. https://doi.org/10.1007/s10763-017-9802-x
- 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
- Foster, C. (2011). A slippery slope: Resolving cognitive conflict in mechanics. Teaching Mathematics and its Applications: An International Journal of the IMA, 30(4), 216–221. https://doi.org/10.1093/teamat/hrr015
- Foster, C. (2012). Creationism as a misconception: Socio-cognitive conflict in the teaching of evolution. International Journal of Science Education, 34(14), 2171–2180. https://doi.org/10.1080/09500693.2012.692102
- Gadanidis, G. (2012). Why can’t I be a mathematician?. For the Learning of Mathematics, 32(2), 20–26. https://doi.org/10.1007/s40751-016-0019-3
- Gadanidis, G., Hughes, J. M., Minniti, L., & White, B. J. (2017). Computational thinking, grade 1 students and the binomial theorem. Digital Experiences in Mathematics Education, 3(2), 77–96. https://doi.org/10.1007/s40751-016-0019-3
- Gay, G. (2002). Preparing for culturally responsive teaching. Journal of Teacher Education, 53(2), 106–116. https://doi.org/10.1177/0022487102053002003
- Gjesteland, T. & Vos, P. (2019). Affect and Mathematical Modeling Assessment: A Case Study on Engineering Students’ Experience of Challenge and Flow During a Compulsory Mathematical Modeling Task. In S. A. Chamberlin & B. Sriraman (Eds.), Affect in Mathematical Modeling (p. 257–272). Springer. https://doi.org/10.1007/978-3-030-04432-9_16
- Greefrath, G., & Vos, P. (2021). Video-based Word Problems or Modelling Projects—Classifying ICT-based Modelling Tasks. In F. K. S. Leung, G. A. Stillman, G. Kaiser, K. L. Wong (Eds.) Mathematical Modelling Education in East and West. International Perspectives on the Teaching and Learning of Mathematical Modelling. Springer. https://doi.org/10.1007/978-3-030-66996-6_41
- Harris, D., Black, L., Hernandez-Martinez, P., Pepin, B., Williams, J., & with the TransMaths Team. (2015). Mathematics and its value for engineering students: What are the implications for teaching?. International Journal of Mathematical Education in Science and Technology, 46(3), 321–336. http://dx.doi.org/10.1080/0020739X.2014.979893
- Heays, V., Copson, K., & Mahon, R. (1994). Māori legends in maths. Wairarapa Education Resource Centre.
- Hiebert, J., Gallimore, R., Garnier, H., Givvin, K., Hollingsworth, H., Jacobs, J., et al. (2003). Teaching mathematics in seven countries: Results from the TIMSS 1999 video study. National Center for Educational Statistics.
- Kieran, C., Doorman, M., & Ohtani, M. (2015). Frameworks and principles for task design. In A. Watson & M. Ohtani (Eds.) Task design in mathematics education: An ICMI study 22 (pp. 19–81). Springer https://doi.org/10.1007/978-3-319-09629-2_2
- Jaworski, B. (2014) Unifying Complexity in Mathematics Teaching-Learning Development: A Theory-Practice Dialectic. In Li Y., Silver E., Li S. (Eds.), Transforming Mathematics Instruction. Advances in Mathematics Education (pp. 439–457). Springer. https://doi.org/10.1007/978-3-319-04993-9_24
- Jaworski, B. (2020). Inquiry-based practice in university mathematics teaching development. In D. Potari & O. Chapman (Eds.), International Handbook of Mathematics Teacher Education, Volume 1 (pp. 275–302). Brill Sense. https://doi.org/10.1163/9789004418875_011
- Kazak, S., Wegerif, R., & Fujita, T. (2015). The importance of dialogic processes to conceptual development in mathematics. Educational Studies in Mathematics, 90(2), 105–120. https://doi.org/10.1007/s10649-015-9618-y
- Klymchuk, S. (2017). Puzzle-based learning in engineering mathematics: Students’ attitudes. International Journal of Mathematical Education in Science and Technology, 48(7), 1106–1119. https://doi.org/10.1007/s40753-019-00085-6
- Laursen, S. L., & Rasmussen, C. (2019). I on the prize: Inquiry approaches in undergraduate mathematics. International Journal of Research in Undergraduate Mathematics Education, 5(1), 129–146. https://doi.org/10.1007/s40753-019-00085-6
- Levav-Waynberg, A., & Leikin, R. (2012a). Using multiple solution tasks for the evaluation of students’ problem-solving performance in geometry. Canadian Journal of Science, Mathematics and Technology Education, 12(4), 311–333. https://doi.org/10.1080/14926156.2012.732191
- Levav-Waynberg, A., & Leikin, R. (2012b). The role of multiple solution tasks in developing knowledge and creativity in geometry. The Journal of Mathematical Behavior, 31(1), 73–90. https://doi.org/10.1016/j.jmathb.2011.11.001
- Limón, M. (2001). On the cognitive conflict as an instructional strategy for conceptual change: A critical appraisal. Learning and Instruction, 11(4-5), 357–380. https://doi.org/10.1016/S0959-4752(00)00037-2
- Mason, J., Burton, L., & Stacey, K. (2010). Thinking Mathematically (2nd edition). Pearson Education Limited.
- Mogari, D. (2017). Using culturally relevant teaching in a co-educational mathematics class of a patriarchal community. Educational Studies in Mathematics, 94(3), 293–307. https://doi.org/10.1007/s10649-016-9730-7
- National Council of Teachers of Mathematics. (2000). Principles and standards for school mathematics. NCTM.
- Nedaei, M., Radmehr, F., & Drake, M. (2019). Exploring engineering undergraduate students’ attitudes toward mathematical problem posing. Journal of Professional Issues in Engineering Education and Practice, 145(4), 04019009. https://doi.org/10.1061/(ASCE)EI.1943-5541.0000418
- Neugebauer, J., Ray, D. G., & Sassenberg, K. (2016). When being worse helps: The influence of upward social comparisons and knowledge awareness on learner engagement and learning in peer-to-peer knowledge exchange. Learning and Instruction, 44, 41–52. https://psycnet.apa.org/doi/10.1016/j.learninstruc.2016.02.007
- Olsen, J. K., Rummel, N., & Aleven, V. (2021). Designing for the co-orchestration of social transitions between individual, small-group and whole-class learning in the classroom. International Journal of Artificial Intelligence in Education, 31(1), 24–56. https://doi.org/10.1007/s40593-020-00228-w
- Polya, G. (1949). How to Solve It (1st Edition). Princeton University Press.
- Radmehr, F., & Drake, M. (2017a). Revised Bloom’s taxonomy and integral calculus: unpacking the knowledge dimension. International Journal of Mathematical Education in Science and Technology, 48(8), 1206–1224. https://doi.org/10.1080/0020739X.2017.1321796
- Radmehr, F., & Drake, M. (2017b). Exploring students’ mathematical performance, metacognitive experiences and skills in relation to fundamental theorem of calculus. International Journal of Mathematical Education in Science and Technology, 48(7), 1043–1071. https://doi.org/10.1080/0020739X.2017.1305129
- Radmehr, F., & Drake, M. (2018). An assessment-based model for exploring the solving of mathematical problems: Utilizing revised bloom’s taxonomy and facets of metacognition. Studies in Educational Evaluation, 59, 41–51. https://doi.org/10.1016/j.stueduc.2018.02.004
- Radmehr, F., & Drake, M. (2019). Students’ mathematical performance, metacognitive experiences and metacognitive skills in relation to integral-area relationships. Teaching Mathematics and its Applications: An International Journal of the IMA, 38(2), 85–106. https://doi.org/10.1093/teamat/hry006
- Radmehr, F. & Vos, P. (2020). Issues and challenges of 21st century assessment in mathematics education. In L. Leite, E. Oldham, A. S. Afonso, F. Viseu, L. Dourado, H. Martinho (Eds.), Science and mathematics education for 21st century citizens: challenges and ways forward (pp. 437‒462). Nova Science Publishers.
- Radmehr, F., Nedaei, M., & Rezvanifard, F. (2021). Task design in engineering mathematical courses: The case of problem-posing and puzzle tasks. In H. Heiß, H. Järvinen, A. Mayer, A. Schulz (Eds.) Blended Learning in Engineering Education: challenging, enlightening – and lasting? SEFI 49th Annual Conference (1175–1183).
- Rezvanifard, F., Radmehr, F., & Rogovchenko, Y. (2022). Advancing engineering students’ conceptual understanding through puzzle-based learning: a case study with exact differential equations. Teaching Mathematics and its Application: An International Journal of IMA. https://doi.org/10.1093/teamat/hrac005
- Ruthven, K. (2015). Taking design to task: A critical appreciation. In A. Watson & M. Ohtani (Eds.) Task design in mathematics education: An ICMI study 22 (pp. 311–320). Springer https://doi.org/10.1007/978-3-319-09629-2_11
- Salavatinejad, N., Alamolhodaei, H., & Radmehr, F. (2021). Toward a model for students’ combinatorial thinking. The Journal of Mathematical Behavior, 61, 100823. https://doi.org/10.1016/j.jmathb.2020.100823
- Schoenfeld, A. H. (1985). Mathematical Problem Solving. Academic Press.
- Schoenfeld, A. H. (2014). What makes for powerful classrooms, and how can we support teachers in creating them? A story of research and practice, productively intertwined. Educational Researcher, 43(8), 404–412. https://psycnet.apa.org/doi/10.3102/0013189X14554450
- Sfard, A. (2017). Ritual for ritual, exploration for exploration Or, what the learners get is what you get from them in return. In J. Adler & A. Sfard (Eds.), Research for educational change: Transforming researchers’ insights into improvement in mathematics teaching and learning (pp. 41–63). Routledge.
- Sfard, A. (2020). Commognition. In S. Lerman (Ed.), Encyclopedia of Mathematics Education (2nd ed., pp. 95–101). Springer. Https://doi.org/10.1007/978-3-030-15789-0
- Stephan, M. (2020) Sociomathematical Norms in Mathematics Education. In: Lerman S. (eds) Encyclopedia of Mathematics Education. Springer, Cham. https://doi.org/10.1007/978-3-030-15789-0_143
- Stein, C. A. (2007). Let’s talk: Promoting mathematical discourse in the classroom. The Mathematics Teacher, 101(4), 285–289. https://doi.org/10.5951/MT.101.4.0285
- Stewart, S., & Thomas, M. O. J. (2009). A framework for mathematical thinking: The case of linear algebra, International Journal of Mathematical Education in Science and Technology, 40(7), 951–961. https://doi.org/10.1080/00207390903200984
- Sullivan, P., Knott, L., & Yang, Y. (2015). The relationships between task design, anticipated pedagogies, and student learning. In A. Watson & M. Ohtani (Eds.) Task design in mathematics education: An ICMI study 22 (pp. 83–114). Springer https://doi.org/10.1007/978-3-319-09629-2_3
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- Van Den Heuvel-Panhuizen, M. (2005). The role of contexts in assessment problems in mathematics. For the Learning of Mathematics, 25(2), 2–23. https://www.jstor.org/stable/40248489
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- Watson, A., & Ohtani, M. (2015). Themes and issues in mathematics education concerning task design: Editorial introduction. In A. Watson & M. Ohtani (Eds.) Task design in mathematics education: An ICMI study 22 (pp. 3–15). Springer. https://doi.org/10.1007/978-3-319-09629-2_1
- Williams, J. (2012). Use and exchange value in mathematics education: Contemporary CHAT meets Bourdieu’s sociology. Educational Studies in Mathematics, 80(1), 57–72. https://doi.org/10.1007/s10649-011-9362-x
- Yackel, E., & Cobb, P. (1996). Sociomathematical norms, argumentation, and autonomy in mathematics. Journal for Research in Mathematics Education, 27(4), 458–477. https://doi.org/10.2307/749877
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References
Anderson, L. W. (ed), Krathwohl, D. R. (ed), Airasian, P. W., Cruikshank, K. A., Mayer, R. E., Pintrich, P. R., Raths, J. & Wittrock, M. C. (2001) A taxonomy for learning, teaching, and assessing: A revision of Bloom’s Taxonomy of Educational Objectives (Complete edition). Longman.
Arnon, I., Cottrill, J., Dubinsky, E. D., Oktaç, A., Fuentes, S. R., Trigueros, M., & Weller, K. (2014). APOS theory: A framework for research and curriculum development in mathematics education. Springer. https://doi.org/10.1007/978-1-4614-7966-6
Averill, R., Anderson, D., Easton, H., Te Maro, P., Smith, D., & Hynds, A. (2009). Culturally responsive teaching of mathematics: Three models from linked studies. Journal for Research in Mathematics Education, 40(2), 157–186. https://doi.org/10.2307/40539330
Buchs, C. & Butera, F. (2004). Socio-cognitive conflict and the role of student interaction in learning. New Review of Social Psychology, 3(1-2), 80–87. https://serval.unil.ch/resource/serval:BIB_33859.P001/REF.pdf
Cevikbas, M., & Kaiser, G. (2021). A systematic review on task design in dynamic and interactive mathematics learning environments (DIMLEs). Mathematics, 9(4), 399. https://doi.org/10.3390/math9040399
Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th edition). Sage publications.
Den Braber, N., Krüger, J., Mazereeuw, M., & Kuiper, W. (2019). Reflecting on the value of mathematics in an interdisciplinary STEM course. In Eleventh Congress of the European Society for Research in Mathematics Education (No. 8). Freudenthal Group; Freudenthal Institute; ERME. https://hal.science/hal-02410367
Di Martino, P. (2019). The complex relationship between mathematical modeling and attitude towards mathematics. S. A. Chamberlin, B. Sriraman (Eds.), Affect in Mathematical Modeling, Advances in Mathematics Education (pp. 219–234). Springer. https://doi.org/10.1007/978-3-030-04432-9_14
Dreher, A., & Kuntze, S. (2015). Teachers’ professional knowledge and noticing: The case of multiple representations in the mathematics classroom. Educational Studies in Mathematics, 88(1), 89–114. https://doi.org/10.1007/s10649-014-9577-8
English, L. D. (2017). Advancing elementary and middle school STEM education. International Journal of Science and Mathematics Education, 15(1), 5–24. https://doi.org/10.1007/s10763-017-9802-x
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
Foster, C. (2011). A slippery slope: Resolving cognitive conflict in mechanics. Teaching Mathematics and its Applications: An International Journal of the IMA, 30(4), 216–221. https://doi.org/10.1093/teamat/hrr015
Foster, C. (2012). Creationism as a misconception: Socio-cognitive conflict in the teaching of evolution. International Journal of Science Education, 34(14), 2171–2180. https://doi.org/10.1080/09500693.2012.692102
Gadanidis, G. (2012). Why can’t I be a mathematician?. For the Learning of Mathematics, 32(2), 20–26. https://doi.org/10.1007/s40751-016-0019-3
Gadanidis, G., Hughes, J. M., Minniti, L., & White, B. J. (2017). Computational thinking, grade 1 students and the binomial theorem. Digital Experiences in Mathematics Education, 3(2), 77–96. https://doi.org/10.1007/s40751-016-0019-3
Gay, G. (2002). Preparing for culturally responsive teaching. Journal of Teacher Education, 53(2), 106–116. https://doi.org/10.1177/0022487102053002003
Gjesteland, T. & Vos, P. (2019). Affect and Mathematical Modeling Assessment: A Case Study on Engineering Students’ Experience of Challenge and Flow During a Compulsory Mathematical Modeling Task. In S. A. Chamberlin & B. Sriraman (Eds.), Affect in Mathematical Modeling (p. 257–272). Springer. https://doi.org/10.1007/978-3-030-04432-9_16
Greefrath, G., & Vos, P. (2021). Video-based Word Problems or Modelling Projects—Classifying ICT-based Modelling Tasks. In F. K. S. Leung, G. A. Stillman, G. Kaiser, K. L. Wong (Eds.) Mathematical Modelling Education in East and West. International Perspectives on the Teaching and Learning of Mathematical Modelling. Springer. https://doi.org/10.1007/978-3-030-66996-6_41
Harris, D., Black, L., Hernandez-Martinez, P., Pepin, B., Williams, J., & with the TransMaths Team. (2015). Mathematics and its value for engineering students: What are the implications for teaching?. International Journal of Mathematical Education in Science and Technology, 46(3), 321–336. http://dx.doi.org/10.1080/0020739X.2014.979893
Heays, V., Copson, K., & Mahon, R. (1994). Māori legends in maths. Wairarapa Education Resource Centre.
Hiebert, J., Gallimore, R., Garnier, H., Givvin, K., Hollingsworth, H., Jacobs, J., et al. (2003). Teaching mathematics in seven countries: Results from the TIMSS 1999 video study. National Center for Educational Statistics.
Kieran, C., Doorman, M., & Ohtani, M. (2015). Frameworks and principles for task design. In A. Watson & M. Ohtani (Eds.) Task design in mathematics education: An ICMI study 22 (pp. 19–81). Springer https://doi.org/10.1007/978-3-319-09629-2_2
Jaworski, B. (2014) Unifying Complexity in Mathematics Teaching-Learning Development: A Theory-Practice Dialectic. In Li Y., Silver E., Li S. (Eds.), Transforming Mathematics Instruction. Advances in Mathematics Education (pp. 439–457). Springer. https://doi.org/10.1007/978-3-319-04993-9_24
Jaworski, B. (2020). Inquiry-based practice in university mathematics teaching development. In D. Potari & O. Chapman (Eds.), International Handbook of Mathematics Teacher Education, Volume 1 (pp. 275–302). Brill Sense. https://doi.org/10.1163/9789004418875_011
Kazak, S., Wegerif, R., & Fujita, T. (2015). The importance of dialogic processes to conceptual development in mathematics. Educational Studies in Mathematics, 90(2), 105–120. https://doi.org/10.1007/s10649-015-9618-y
Klymchuk, S. (2017). Puzzle-based learning in engineering mathematics: Students’ attitudes. International Journal of Mathematical Education in Science and Technology, 48(7), 1106–1119. https://doi.org/10.1007/s40753-019-00085-6
Laursen, S. L., & Rasmussen, C. (2019). I on the prize: Inquiry approaches in undergraduate mathematics. International Journal of Research in Undergraduate Mathematics Education, 5(1), 129–146. https://doi.org/10.1007/s40753-019-00085-6
Levav-Waynberg, A., & Leikin, R. (2012a). Using multiple solution tasks for the evaluation of students’ problem-solving performance in geometry. Canadian Journal of Science, Mathematics and Technology Education, 12(4), 311–333. https://doi.org/10.1080/14926156.2012.732191
Levav-Waynberg, A., & Leikin, R. (2012b). The role of multiple solution tasks in developing knowledge and creativity in geometry. The Journal of Mathematical Behavior, 31(1), 73–90. https://doi.org/10.1016/j.jmathb.2011.11.001
Limón, M. (2001). On the cognitive conflict as an instructional strategy for conceptual change: A critical appraisal. Learning and Instruction, 11(4-5), 357–380. https://doi.org/10.1016/S0959-4752(00)00037-2
Mason, J., Burton, L., & Stacey, K. (2010). Thinking Mathematically (2nd edition). Pearson Education Limited.
Mogari, D. (2017). Using culturally relevant teaching in a co-educational mathematics class of a patriarchal community. Educational Studies in Mathematics, 94(3), 293–307. https://doi.org/10.1007/s10649-016-9730-7
National Council of Teachers of Mathematics. (2000). Principles and standards for school mathematics. NCTM.
Nedaei, M., Radmehr, F., & Drake, M. (2019). Exploring engineering undergraduate students’ attitudes toward mathematical problem posing. Journal of Professional Issues in Engineering Education and Practice, 145(4), 04019009. https://doi.org/10.1061/(ASCE)EI.1943-5541.0000418
Neugebauer, J., Ray, D. G., & Sassenberg, K. (2016). When being worse helps: The influence of upward social comparisons and knowledge awareness on learner engagement and learning in peer-to-peer knowledge exchange. Learning and Instruction, 44, 41–52. https://psycnet.apa.org/doi/10.1016/j.learninstruc.2016.02.007
Olsen, J. K., Rummel, N., & Aleven, V. (2021). Designing for the co-orchestration of social transitions between individual, small-group and whole-class learning in the classroom. International Journal of Artificial Intelligence in Education, 31(1), 24–56. https://doi.org/10.1007/s40593-020-00228-w
Polya, G. (1949). How to Solve It (1st Edition). Princeton University Press.
Radmehr, F., & Drake, M. (2017a). Revised Bloom’s taxonomy and integral calculus: unpacking the knowledge dimension. International Journal of Mathematical Education in Science and Technology, 48(8), 1206–1224. https://doi.org/10.1080/0020739X.2017.1321796
Radmehr, F., & Drake, M. (2017b). Exploring students’ mathematical performance, metacognitive experiences and skills in relation to fundamental theorem of calculus. International Journal of Mathematical Education in Science and Technology, 48(7), 1043–1071. https://doi.org/10.1080/0020739X.2017.1305129
Radmehr, F., & Drake, M. (2018). An assessment-based model for exploring the solving of mathematical problems: Utilizing revised bloom’s taxonomy and facets of metacognition. Studies in Educational Evaluation, 59, 41–51. https://doi.org/10.1016/j.stueduc.2018.02.004
Radmehr, F., & Drake, M. (2019). Students’ mathematical performance, metacognitive experiences and metacognitive skills in relation to integral-area relationships. Teaching Mathematics and its Applications: An International Journal of the IMA, 38(2), 85–106. https://doi.org/10.1093/teamat/hry006
Radmehr, F. & Vos, P. (2020). Issues and challenges of 21st century assessment in mathematics education. In L. Leite, E. Oldham, A. S. Afonso, F. Viseu, L. Dourado, H. Martinho (Eds.), Science and mathematics education for 21st century citizens: challenges and ways forward (pp. 437‒462). Nova Science Publishers.
Radmehr, F., Nedaei, M., & Rezvanifard, F. (2021). Task design in engineering mathematical courses: The case of problem-posing and puzzle tasks. In H. Heiß, H. Järvinen, A. Mayer, A. Schulz (Eds.) Blended Learning in Engineering Education: challenging, enlightening – and lasting? SEFI 49th Annual Conference (1175–1183).
Rezvanifard, F., Radmehr, F., & Rogovchenko, Y. (2022). Advancing engineering students’ conceptual understanding through puzzle-based learning: a case study with exact differential equations. Teaching Mathematics and its Application: An International Journal of IMA. https://doi.org/10.1093/teamat/hrac005
Ruthven, K. (2015). Taking design to task: A critical appreciation. In A. Watson & M. Ohtani (Eds.) Task design in mathematics education: An ICMI study 22 (pp. 311–320). Springer https://doi.org/10.1007/978-3-319-09629-2_11
Salavatinejad, N., Alamolhodaei, H., & Radmehr, F. (2021). Toward a model for students’ combinatorial thinking. The Journal of Mathematical Behavior, 61, 100823. https://doi.org/10.1016/j.jmathb.2020.100823
Schoenfeld, A. H. (1985). Mathematical Problem Solving. Academic Press.
Schoenfeld, A. H. (2014). What makes for powerful classrooms, and how can we support teachers in creating them? A story of research and practice, productively intertwined. Educational Researcher, 43(8), 404–412. https://psycnet.apa.org/doi/10.3102/0013189X14554450
Sfard, A. (2017). Ritual for ritual, exploration for exploration Or, what the learners get is what you get from them in return. In J. Adler & A. Sfard (Eds.), Research for educational change: Transforming researchers’ insights into improvement in mathematics teaching and learning (pp. 41–63). Routledge.
Sfard, A. (2020). Commognition. In S. Lerman (Ed.), Encyclopedia of Mathematics Education (2nd ed., pp. 95–101). Springer. Https://doi.org/10.1007/978-3-030-15789-0
Stephan, M. (2020) Sociomathematical Norms in Mathematics Education. In: Lerman S. (eds) Encyclopedia of Mathematics Education. Springer, Cham. https://doi.org/10.1007/978-3-030-15789-0_143
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