The Text Mining Approach to Identifying What Students Value in Mathematics Learning
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9454-0_7
Reference22 articles.
1. Berry, M. W. (2004). Survey of text mining. Computing Reviews, 45(9), 548.
2. Bishop, A. J. (1988). Mathematical enculturation: A cultural perspective on mathematics education. Kluwer.
3. Cai, J., Wang, T., Wang, N., & Garber, T. (2009). Studying effective teaching from teachers’ perspectives: The journey has just begun. In J. Cai, G. Kaiser, B. Perry, & N-Y. Wong (Eds.), Effective mathematics teaching from teachers’ perspectives: National and cross-national studies (pp. 303–317). Sense.
4. Chan, Y.-C., & Wong, N.-Y. (2019). Methodological issues in the investigation of values in mathematics. In P. Clarkson, W. T. Seah, & J. Pang (Eds.), Values and valuing in mathematics education: Scanning and scoping the territory (pp. 197–208). Springer.
5. Clarkson, P., Seah, W. T., & Pang, J. (Eds.). (2019). Values and valuing in mathematics education: Scanning and scoping the territory. Springer.
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
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