Data science for novice students: A didactic approach to data mining using neural networks
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This paper presents a way to introduce data science to college (business) students. To this end, data mining using neural networks may be practiced. After briefly clarifying the main differences between data science and data mining, the work with neural networks is examined in detail. The examination deals with the features and affordances of this work, as well as its expected challenges with possible reasons. The paper ends with a number of implications for practice, teacher education, and research.
Keywords:
Neural networks / data mining / data science / college educationSource:
Teaching of Mathematics, 2020, 23, 2, 90-101Publisher:
- Društvo matematičara Srbije, Beograd
Funding / projects:
- Ministry of Science, Technological Development and Innovation of the Republic of Serbia, institutional funding - 200018 (Institute for Educational Research, Belgrade) (RS-MESTD-inst-2020-200018)
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IPITY - JOUR AU - Kadijević, Đorđe PY - 2020 UR - http://ipir.ipisr.org.rs/handle/123456789/327 AB - This paper presents a way to introduce data science to college (business) students. To this end, data mining using neural networks may be practiced. After briefly clarifying the main differences between data science and data mining, the work with neural networks is examined in detail. The examination deals with the features and affordances of this work, as well as its expected challenges with possible reasons. The paper ends with a number of implications for practice, teacher education, and research. PB - Društvo matematičara Srbije, Beograd T2 - Teaching of Mathematics T1 - Data science for novice students: A didactic approach to data mining using neural networks EP - 101 IS - 2 SP - 90 VL - 23 UR - https://hdl.handle.net/21.15107/rcub_ipir_327 ER -
@article{ author = "Kadijević, Đorđe", year = "2020", abstract = "This paper presents a way to introduce data science to college (business) students. To this end, data mining using neural networks may be practiced. After briefly clarifying the main differences between data science and data mining, the work with neural networks is examined in detail. The examination deals with the features and affordances of this work, as well as its expected challenges with possible reasons. The paper ends with a number of implications for practice, teacher education, and research.", publisher = "Društvo matematičara Srbije, Beograd", journal = "Teaching of Mathematics", title = "Data science for novice students: A didactic approach to data mining using neural networks", pages = "101-90", number = "2", volume = "23", url = "https://hdl.handle.net/21.15107/rcub_ipir_327" }
Kadijević, Đ.. (2020). Data science for novice students: A didactic approach to data mining using neural networks. in Teaching of Mathematics Društvo matematičara Srbije, Beograd., 23(2), 90-101. https://hdl.handle.net/21.15107/rcub_ipir_327
Kadijević Đ. Data science for novice students: A didactic approach to data mining using neural networks. in Teaching of Mathematics. 2020;23(2):90-101. https://hdl.handle.net/21.15107/rcub_ipir_327 .
Kadijević, Đorđe, "Data science for novice students: A didactic approach to data mining using neural networks" in Teaching of Mathematics, 23, no. 2 (2020):90-101, https://hdl.handle.net/21.15107/rcub_ipir_327 .