Work

SENSEI: A Novel Architecture of Deep Multi-Task Neural Network for Analyzing E-learning Lecturers’ and Students’ Satisfaction

Year: 2024

Type: conference-paper

Source: International Conference on Informatics and Computing (ICIC)

DOI: 10.1109/icic64337.2024.10956539

Authors: Sulis Sandiwarno, Dana Indra Sensuse, Harry Budi Santoso, Deden Sumirat Hidayat, Muhammad Mishbah

Institutions: University of Indonesia, National Research and Innovation Agency

Language: English

Topic: Online Learning and Analytics

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: closed

OpenAlex ID: W4409474570

FWCI: 1.841

Cites: 15

Cited by: 4

Related to: 10