Sipnayan sa Tambakan: Mathematical Ethnomodels Through the Lens of the Scrap Merchants
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- Bui Phuong Uyen & Duong Huu Tong & Nguyen Phu Loc & Le Nguyen Phuoc Thanh, 2021. "The Effectiveness of Applying Realistic Mathematics Education Approach in Teaching Statistics in Grade 7 to Students' Mathematical Skills," Journal of Education and e-Learning Research, Asian Online Journal Publishing Group, vol. 8(2), pages 185-197.
- Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022.
"Forecasting: theory and practice,"
International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
- Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
- Kinga Rybak-Niedziółka & Agnieszka Starzyk & Przemysław Łacek & Łukasz Mazur & Izabela Myszka & Anna Stefańska & Małgorzata Kurcjusz & Aleksandra Nowysz & Karol Langie, 2023. "Use of Waste Building Materials in Architecture and Urban Planning—A Review of Selected Examples," Sustainability, MDPI, vol. 15(6), pages 1-22, March.
- Feifei Huang & Zhaofeng Huang & Zhe Li & Minqiang Zhang, 2021. "Relationship between Parental Involvement and Mathematics Achievement of Chinese Early Adolescents: Multiple Mediating Roles of Mental Health and Mathematics Self-Efficacy," IJERPH, MDPI, vol. 18(18), pages 1-14, September.
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