A5045198234- Topic Modeling
- Advanced Text Analysis Techniques
- scientometrics and bibliometrics research
- Biomedical Text Mining and Ontologies
- Innovative Teaching and Learning Methods
- Online Learning and Analytics
- Microbial bioremediation and biosurfactants
- Complex Network Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Web visibility and informetrics
- Economic Growth and Development
- Educational Strategies and Epistemologies
- Online and Blended Learning
- Natural Language Processing Techniques
- Text Readability and Simplification
- Plant responses to water stress
- Network Security and Intrusion Detection
- Socioeconomic Development in MENA
- Plant responses to elevated CO2
- Artificial Intelligence in Healthcare
- Vasculitis and related conditions
- Glycogen Storage Diseases and Myoclonus
- Biomedical Research and Pathophysiology
- Retinal and Optic Conditions
- Renal and Vascular Pathologies
Monash University
2021-2024
The Women University Multan
2021-2024
Information Technology University
2018-2021
Bahauddin Zakariya University
2021
Rawalpindi Medical University
2019
The purpose of the study is to (a) contribute annotating an Altmetrics dataset across five disciplines, (b) undertake sentiment analysis using various machine learning and natural language processing–based algorithms, (c) identify best-performing model (d) provide a Python library for dataset. First, researchers gave set guidelines two human annotators familiar with task related tweet annotation scientific literature. They duly labelled sentiments, achieving inter-annotator agreement (IAA)...
Abstract Background Assignments that involve writing based on several texts are challenging to many learners. Formative feedback supporting learners in these tasks should be informed by the characteristics of evolving written product and learning processes enacted while developing product. However, formative multiple has almost exclusively focused essay rarely included SRL processes. Objectives We explored viability using process features develop machine classifiers identify low‐...
Purpose The purpose of this paper is to analyze the scientific collaboration institutions and its impact on institutional research performance in terms productivity quality. researchers examined local international collaborations that have a great performance. Design/methodology/approach Collaboration dependence measure was used investigate an institution external information. Based information, authors “index gain through collaboration” find collaborated publications Bibliographic data...
Potential benefits of learning analytics (LA) for improving students' performance, predicting success, and enhancing teaching practice have increasingly been recognized in higher education. However, the adoption LA education institutions (HEIs) to date remains sporadic predominantly small scale due several socio-technical challenges. To better understand why HEIs struggle adoption, it is needed untangle challenges their related factors. This paper presents findings a study that sought...
To meet the growing demand for future professionals who can present information to an audience and create quality written products, educators are increasingly assigning writing assignments that require students gather from multiple sources, reorganise reinterpret knowledge source materials, plan rhetorical structure goals in order task requirements. When evaluating essay coherence, scorers manually look presence of required categories, which takes time. Supervised Machine Learning (ML)...
Essay writing has become one of the most common learning tasks assigned to students enrolled in various courses at different educational levels, owing growing demand for future professionals effectively communicate information an audience and develop a written product (i.e. essay). Evaluating requires scorers who manually examine existence rhetorical categories, which is time-consuming task. Machine Learning (ML) approaches have potential alleviate this challenge. As result, several attempts...
Purpose This study aims to provide guidelines for exploring the research landscape in developing countries by gauging prospects of growth, impact and innovation. interrogates, analyses visualizes impact, nuances evolution stated themes. For this purpose, presents an in-depth analysis publications citations indexed Pakistani journals as a case study. Design/methodology/approach A bibliometric 46,034 published Pakistan-based uncovers Scopus-indexed scientific literature – using various...
This research aimed to explore the relationship between different indicators of depth and quality participation in computer-mediated learning environments. By using network analyses statistical tests, we discovered significant associations cognitive presence phases Community Inquiry framework speech acts, examined impact two instructional interventions on these associations. We found that there are strong some acts phases. In addition, study revealed association is moderated by external...
Citation analysis is one of the most frequently used methods in research evaluation. We are seeing significant growth citation through bibliometric metadata, primarily due to availability databases such as Web Science, Scopus, Google Scholar, Microsoft Academic, and Dimensions. Due better access full-text publication corpora recent years, information scientists have gone far beyond traditional bibliometrics by tapping into advancements data processing techniques measure impact scientific...