Work

Surveying Teachers’ Preferences and Boundaries Regarding Human-AI Control in Dynamic Pairing of Students for Collaborative Learning

Year: 2021

Type: conference-paper

Study design: Observational Study

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-86436-1_20

Authors: Kexin Bella Yang, LuEttaMae Lawrence, Vanessa Echeverria, Boyuan Guo, Nikol Rummel, Vincent Aleven

Institutions: Carnegie Mellon University, Escuela Superior Politecnica del Litoral, Ruhr University Bochum

Language: English

Topic: Intelligent Tutoring Systems and Adaptive Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: closed

OpenAlex ID: W3196546806

FWCI: 1.008

Cites: 20

Cited by: 20

Related to: 10