Work

What Teachers Can Learn from Machine Learning

Year: 2021

Type: conference-paper

Source: Lecture notes in networks and systems

Parent work: Explainable AI and Other Applications of Fuzzy Techniques: Proceedings of the 2021 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2021

DOI: 10.1007/978-3-030-82099-2_36

Authors: Christian Servin, Olga Kosheleva, Vladik Kreinovich

Institutions: El Paso Community College, The University of Texas at El Paso

Language: English

Topic: Fuzzy Logic and Control Systems

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: closed

OpenAlex ID: W3209050926

FWCI:

Cites: 5

Cited by:

Related to: 10