A5072423562- Topic Modeling
- Advanced Text Analysis Techniques
- scientometrics and bibliometrics research
- Complex Network Analysis Techniques
- Online Learning and Analytics
- Biomedical Text Mining and Ontologies
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Web visibility and informetrics
- Semantic Web and Ontologies
- Data Quality and Management
- Advanced Graph Neural Networks
- Text and Document Classification Technologies
- Text Readability and Simplification
- Web Data Mining and Analysis
- Intelligent Tutoring Systems and Adaptive Learning
- Big Data and Business Intelligence
- Spam and Phishing Detection
- Expert finding and Q&A systems
- E-Learning and Knowledge Management
- Economic Growth and Development
- Online and Blended Learning
- Multimodal Machine Learning Applications
- Cell Image Analysis Techniques
- Digital Imaging for Blood Diseases
Manchester Metropolitan University
2021-2024
Information Technology University
2015-2024
University of the Punjab
2015-2021
Saudi Commission for Health Specialties
2021
University of Lahore
2016-2020
Shendi University
2019
Jouf University
2019
Najran University
2019
John Wiley & Sons (United States)
2019
Intelligent Systems Research (United States)
2019
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...
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...
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...