ERIC Number: EJ1295281
Record Type: Journal
Publication Date: 2021-Apr
Pages: 5
Abstractor: ERIC
ISBN: N/A
ISSN: ISSN-0025-5769
EISSN: N/A
Integrating Machine Learning in Secondary Geometry
Jones, Joshua
Mathematics Teacher: Learning and Teaching PK-12, v114 n4 p325-329 Apr 2021
Despite the importance of artificial intelligence in our daily lives, it has yet to be integrated into K-12 classrooms in a meaningful way. This article explores a lesson in which geometry students use Euclidean distance to implement a functional machine learning algorithm in Google Sheets™. The assignment requires students to apply the distance formula to a machine learning context, break a data set into parts to establish relationships among its components, synthesize the analysis to implement an algorithm in Google Sheets, and use test data to evaluate the systems' accuracy.
Descriptors: Geometry, Mathematics Instruction, Artificial Intelligence, Geometric Concepts, Concept Formation, Educational Technology, Technology Uses in Education, Man Machine Systems, Secondary School Mathematics, Grade 9, Grade 10, Spreadsheets, High School Students
National Council of Teachers of Mathematics. 1906 Association Drive, Reston, VA 20191. Tel: 800-235-7566; Tel: 703-620-9840; Fax: 703-476-2570; e-mail: nctm@nctm.org; Web site: https://pubs.nctm.org/
Publication Type: Journal Articles; Reports - Evaluative
Education Level: Secondary Education; Grade 9; High Schools; Junior High Schools; Middle Schools; Grade 10
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A