On the use of soft computing methods in educational data mining and learning analytics research: A review of years 2010–2018
The aim of this paper is to survey recent research publications that use Soft Computing
methods to answer education-related problems based on the analysis of educational data …
methods to answer education-related problems based on the analysis of educational data …
Machine learning for the educational sciences
Abstract Machine learning (ML) provides a powerful framework for the analysis of high‐
dimensional datasets by modelling complex relationships, often encountered in modern …
dimensional datasets by modelling complex relationships, often encountered in modern …
A study of grammar analysis in English teaching with deep learning algorithm
G Zhang - International Journal of Emerging Technologies in …, 2020 - learntechlib.org
Abstract In English teaching, grammar is a very important part. Based on the seq2seq model,
a grammar analysis method combining the attention mechanism, word embedding and CNN …
a grammar analysis method combining the attention mechanism, word embedding and CNN …
Explicating the map** between big data and knowledge management: a systematic literature review and future directions
Purpose This study aims to extend and explore patterns and trends of research in the
linkage of big data and knowledge management (KM) by identifying growth in terms of …
linkage of big data and knowledge management (KM) by identifying growth in terms of …
[PDF][PDF] A hybrid recommender framework for selecting a course reference books
Recommender systems are receiving great attention these days, as various researchers and
major companies are conducting continuous research in this field. Companies like Google …
major companies are conducting continuous research in this field. Companies like Google …
[PDF][PDF] College Mathematics Teaching Method Based on Big Data.
L Cui, Y Liao, Y Wang, X Dong - International Journal of Emerging …, 2019 - core.ac.uk
With the aid of big data technology, this paper enumerates the existing problems of college
mathematics teaching, and designs a big databased method for mathematics teaching …
mathematics teaching, and designs a big databased method for mathematics teaching …
[PDF][PDF] MONITORING LEARNERS'PERFORMANCE BY MODELING LEARNING PROGRESS USING MACHINE LEARNING
In this globalization era, the involvement of machines is inevitable, including one within the
context of monitoring learners' performance. This study investigates learners' performance …
context of monitoring learners' performance. This study investigates learners' performance …
Intelligent machine for ontological representation of massive pedagogical knowledge based on neural networks.
A Hadioui, YB Touimi, NE Faddouli… - … Journal of Electrical …, 2021 - search.ebscohost.com
Higher education is increasingly integrating free leaming management systems (LMS). The
main objective underlying such systems integration is the automatization of online …
main objective underlying such systems integration is the automatization of online …
MOOCMaven: Bridging M-Learning and Open Data for Enhanced Unified MOOC Exploration.
We live in a modern environment where learning does not have any barriers. Our work aims
to become the main gateway for people of any interest to take advantage of the full …
to become the main gateway for people of any interest to take advantage of the full …
[PDF][PDF] Análise de agrupamento dos cursos de graduação de universidades federais brasileiras.
BT Marcatti, A Zanella, AC Konrath - Revista Electrónica de …, 2024 - reec.uvigo.es
A avaliação da educação superior é uma importante ferramenta para o desenvolvimento da
qualidade do ensino. Atualmente, o Conceito Preliminar de Curso (CPC) é considerado o …
qualidade do ensino. Atualmente, o Conceito Preliminar de Curso (CPC) é considerado o …