Artificial intelligence for assessment and feedback to enhance student success in higher education

M Hooda, C Rana, O Dahiya, A Rizwan… - Mathematical …, 2022 - Wiley Online Library
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 …

Online at-risk student identification using RNN-GRU joint neural networks

Y He, R Chen, X Li, C Hao, S Liu, G Zhang, B Jiang - Information, 2020 - mdpi.com
Although online learning platforms are gradually becoming commonplace in modern
society, learners' high dropout rates and serious academic performance require more …

Exploring online activities to predict the final grade of student

S Gaftandzhieva, A Talukder, N Gohain, S Hussain… - Mathematics, 2022 - mdpi.com
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 …

ANN-LSTM: A deep learning model for early student performance prediction in MOOC

FA Al-Azazi, M Ghurab - heliyon, 2023 - cell.com
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 …

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 …

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 …

Hybrid analysis of the learner's online behavior based on learning style

R Balti, A Hedhili, WL Chaari, M Abed - Education and Information …, 2023 - Springer
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 …

Performance prediction in online academic course: a deep learning approach with time series imaging

A Ben Said, ASG Abdel-Salam, KA Hazaa - Multimedia Tools and …, 2024 - Springer
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 …

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 …

Recent systematic review on student performance prediction using backpropagation algorithms

E Ismanto, H Ab Ghani, NIM Saleh… - Telkomnika …, 2022 - telkomnika.uad.ac.id
A comprehensive systematic study was carried out in order to identify various deep learning
methods developed and used for predicting student academic performance. Predicting …