Currently browsing: Items authored or edited by Vinay Kathotia

5 items in this list.
Generated on Sat Jul 13 11:03:57 2024 BST.

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Bonte, M.; Ivinson, G.; Merkley, R.; Bain, P.; Castles, A.; Cheung, P.; Clements, D.; Cook, C.; Cristia, A.; Day-Hess, C.; Dowker, A.; Draper, C.; Flewitt, R.; Germein, S.; Grigorenko, E.; Grotzer, T.; Hackett, A.; Kathotia, V.; Kievit, R.; McBride, C.; O'Brien, K.; Sarama, J.; Sommerville, M.; Strader, S. and Vanden Bosch der Nederlanden, C. (2022). Foundations of academic knowledge. In: Duraiappah, A.K.; Atteveldt, N.M.; Bugden, S. and Borst, G. eds. Reimagining education: The International Science and Evidence based Education Assessment. New Delhi, India: United Nations Educational Scientific and Cultural Organization Mahatma Gandhi Institute of Education for Peace and Sustainable Development, pp. 282–355.

Journal ItemTo Top

Nemirovsky, Ricardo; Kathotia, Vinay and Mégrourèche, Charlotte (2023). Aesthetical entanglements in mathematics education. Frontiers in Education, 8, article no. 1286944.

Conference or Workshop ItemTo Top

Nemirovsky, Ricardo; Kathotia, Vinay and Mégrourèche, Charlotte (2023). Aesthetical Entanglements in Mathematics Learning. In: 13th Congress of the European Society for Research in Mathematics Education (Shvarts, Anna ed.), 10-14 Jul 2023, Budapest, Hungary, European Society for Research in Mathematics Education.

Kathotia, Vinay; O’Brien, Kate and Solomon, Yvette (2021). Just mathematics? Fostering empowering and inclusive mathematics classrooms with Realistic Mathematics Education. In: Exploring new ways to connect: Proceedings of the Eleventh International Mathematics Education and Society Conference (Kollosche, David ed.), Tredition, Hamburg, Germany, pp. 545–554.

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Smith, Cathy; Kathotia, Vinay; Ward-Penny, Robert; Howson, Oli and Wermelinger, Michel (2023). Mathematical and Data Literacy: Competencies and curriculum implications at the intersection of mathematics, data science, statistics and computing. In Mathematical and Data Literacy: Competencies and curriculum implications at the intersection of mathematics, data science, statistics and computing The Royal Society.

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