A5059603729- Online Learning and Analytics
- Topic Modeling
- Complex Network Analysis Techniques
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- scientometrics and bibliometrics research
- Biomedical Text Mining and Ontologies
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- E-Learning and Knowledge Management
- Mobile Learning in Education
- Web visibility and informetrics
- Online and Blended Learning
- Big Data and Business Intelligence
- Text and Document Classification Technologies
- Data Quality and Management
- Artificial Intelligence in Healthcare
- Intelligent Tutoring Systems and Adaptive Learning
- Spam and Phishing Detection
- Expert finding and Q&A systems
- ICT in Developing Communities
- Misinformation and Its Impacts
- Text Readability and Simplification
- Multimedia Communication and Technology
- Recommender Systems and Techniques
King Abdulaziz University
2015-2024
Monash University
2024
King Abdul Aziz University Hospital
2022-2023
Ain Shams University
2022
University of Glasgow
2019
La Trobe University
2019
University of Southampton
2011-2019
John Wiley & Sons (United States)
2019
Intelligent Systems Research (United States)
2019
University of Jeddah
2018-2019
Educational Data Mining (EDM) and Learning Analytics (LA) research have emerged as interesting areas of research, which are unfolding useful knowledge from educational databases for many purposes such predicting students' success. The ability to predict a student's performance can be beneficial actions in modern systems. Existing methods used features mostly related academic performance, family income assets; while belonging expenditures personal information usually ignored. In this paper,...
This research provides a comprehensive, first-of-its-kind, in-depth, data-driven analysis of the discussions on "curriculum alignment" in light "learned skills" and "acquired skills", as illustrated by cross-disciplinary records Scopus. It was undertaken from 2010 to 2021 10,214 data points obtained fully grasp issues, names themes that have contributed field over past decade, it presents case for increased value new application bibliometric analyses. When faced with scholarly not included...
Student retention is a widely recognized challenge in the educational community to assist institutes formation of appropriate and effective pedagogical interventions. This study intends predict students at-risk low performances during an on-going course, those graduating late than tentative timeline predicting capacity campus. The data constitutes demographics, learning, academic related attributes which are suitable deploy various machine learning algorithms for prediction students. For...
Learning analytics is an emerging field of research, motivated by the wide spectrum available educational information that can be analysed to provide a data-driven decision about various learning problems. This study intends examine research landscape deliver comprehensive understanding activities in this multidisciplinary field, using scientific literature from Scopus database. An array state-of-the-art bibliometric indices deployed on 2811 procured publication datasets: counts, citation...
The current evolution in multidisciplinary learning analytics research poses significant challenges for the exploitation of behavior analysis by fusing data streams toward advanced decision-making. identification students that are at risk withdrawals higher education is connected to numerous educational policies, enhance their competencies and skills through timely interventions academia. Predicting student performance a vital decision-making problem including from various environment...
Nowadays, wireless body area networks (WBANs) systems have adopted cloud computing (CC) technology to overcome limitations such as power, storage, scalability, management, and computing. This amalgamation of WBANs CC technology, sensor‐cloud infrastructure (S‐CI), is aiding the healthcare domain through real‐time monitoring patients early diagnosis diseases. Hence, distributed environment S‐CI presents new threats patient data privacy security. In this paper, we review techniques for...
In higher education, predicting the academic performance of students is associated with formulating optimal educational policies that vehemently impact economic and financial development. online platforms, captured clickstream information can be exploited in ascertaining their performance. current study, time-series sequential classification problem students’ prediction explored by deploying a deep long short-term memory (LSTM) model using freely accessible Open University Learning Analytics...
The recent pandemic has raised significant challenges worldwide. In higher education, the necessity to adopt efficient strategies sustain education during crisis is mobilizing diverse, complementary, and integrative action in response. this research article, we rise challenge of designing implementing a transparent strategy for social media awareness at King Abdulaziz University (KAU). We introduce framework impact, termed KAU Pandemic Framework. This includes factors with most important...
Students’ evaluation of teaching, for instance, through feedback surveys, constitutes an integral mechanism quality assurance and enhancement teaching learning in higher education. These surveys usually comprise both the Likert scale free-text responses. Since discrete responses are easy to analyze, they feature more prominently survey analyses. However, often contain richer, detailed, nuanced information with actionable insights. Mining these insights is challenging, as it requires a degree...