Artificial intelligence for assessment and feedback to enhance student success in higher education
The core focus of this review is to show how immediate and valid feedback, qualitative
assessment influence enhances students learning in a higher education environment. With …
assessment influence enhances students learning in a higher education environment. With …
Online at-risk student identification using RNN-GRU joint neural networks
Although online learning platforms are gradually becoming commonplace in modern
society, learners' high dropout rates and serious academic performance require more …
society, learners' high dropout rates and serious academic performance require more …
Exploring online activities to predict the final grade of student
Student success rate is a significant indicator of the quality of the educational services
offered at higher education institutions (HEIs). It allows students to make their plans to …
offered at higher education institutions (HEIs). It allows students to make their plans to …
ANN-LSTM: A deep learning model for early student performance prediction in MOOC
Learning Analytics aims to discover the class of students' performance over time. This helps
instructors make in-time interventions but, discovering the students' performance class in …
instructors make in-time interventions but, discovering the students' performance class in …
Open learning analytics: a systematic review of benchmark studies using open university learning analytics dataset (OULAD)
HA Alhakbani, FM Alnassar - Proceedings of the 2022 7th International …, 2022 - dl.acm.org
Virtual learning has gained increased importance because of the recent pandemic situation.
A mass shift to virtual means of education delivery has been observed over the past couple …
A mass shift to virtual means of education delivery has been observed over the past couple …
Visual analytics of video‐clickstream data and prediction of learners' performance using deep learning models in MOOCs' courses
AA Mubarak, H Cao, W Zhang… - Computer Applications in …, 2021 - Wiley Online Library
The big data stored in massive open online course (MOOC) platforms have become a posed
challenge in the Learning Analytics field to analyze the learning behavior of learners, and …
challenge in the Learning Analytics field to analyze the learning behavior of learners, and …
Hybrid analysis of the learner's online behavior based on learning style
Since the covid pandemic, universities propose online education to ensure learning
continuity. However, the insufficient preparation led to a major drop in the learner's …
continuity. However, the insufficient preparation led to a major drop in the learner's …
Performance prediction in online academic course: a deep learning approach with time series imaging
With the COVID-19 outbreak, schools and universities have massively adopted online
learning to ensure the continuation of the learning process. However, in such setting …
learning to ensure the continuation of the learning process. However, in such setting …
Enhancing the performance of automated grade prediction in mooc using graph representation learning
S Farokhi, A Yaramal, J Huang… - 2023 IEEE 10th …, 2023 - ieeexplore.ieee.org
In recent years, Massive Open Online Courses (MOOCs) have gained significant traction as
a rapidly growing phenomenon in online learning. Unlike traditional classrooms, MOOCs …
a rapidly growing phenomenon in online learning. Unlike traditional classrooms, MOOCs …
Recent systematic review on student performance prediction using backpropagation algorithms
A comprehensive systematic study was carried out in order to identify various deep learning
methods developed and used for predicting student academic performance. Predicting …
methods developed and used for predicting student academic performance. Predicting …