Analyzing instructional design quality and students' reviews of 18 courses out of the Class Central Top 20 MOOCs through systematic and sentiment analyses - ScienceDirect

IJLTER.ORG Vol 21 No 4 April 2022 by ijlter.org - Issuu

Analyzing instructional design quality and students' reviews of 18 courses out of the Class Central Top 20 MOOCs through systematic and sentiment analyses - ScienceDirect

Metaheuristics based long short term memory optimization for sentiment analysis - ScienceDirect

What do we want to know about MOOCs? Results from a machine learning approach to a systematic literature mapping review, International Journal of Educational Technology in Higher Education

Educational Data Science Approach for an End-to-End Quality Assurance Process for Building Creditworthy Online Courses

PDF) Analyzing instructional quality and students' reviews of massive open online courses (MOOCs) through systematic and sentiment analyses based on Big data

Big data in education: a state of the art, limitations, and future research directions, International Journal of Educational Technology in Higher Education

What makes a good-quality language MOOC? An empirical study of criteria to evaluate the quality of online language courses from learners' perspectives, ReCALL

(PDF) Sentiment Analysis of Students' Feedback with NLP and Deep Learning: A Systematic Mapping Study

Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020

Text mining in education - Ferreira‐Mello - 2019 - WIREs Data Mining and Knowledge Discovery - Wiley Online Library