A systematic literature review is a research method used to identify, evaluate, and summarize the research findings of a large number of published studies on a specific topic. It is a comprehensive and structured approach to reviewing the literature that aims to identify all relevant studies, critically appraise their quality, and synthesize their findings in a clear and transparent manner.This course is intended to provide learners with an asynchronous learning experience concentrating on the advanced levels of dealing with systematic literature reviews. The course covers cutting-edge methodology, tools, and computer-assisted techniques for doing systematic literature reviews. The main focus of the course is to work with a huge amount of research studies in minimum time through AI tools that enable literature classifications and synthesis. Working within each literature classification/cluster is also an important aspect of the course. The students will learn how easily and quickly we can learn from the literature and find existing gaps in the body of knowledge. The course’s research output can be submitted for publication in high-impact journals or included in a Ph.D. thesis.Experienced scholars and authors of highly cited impact factor research articles will teach the course. Videos lectures, Live classes, activities, and assessments are all part of this exciting course. After each class subscribers can send their work to the trainers to receive feedback and trainers will also provide support for its improvement.
The course is divided into two levels: the first focuses on conducting systematic literature reviews and developing literature classifications/clusters using AI-based tools, while the second focuses on mapping literature within clusters and developing consensus on the existing body of knowledge.
On weekends, there are eight live sessions, where learners can interact with trainers. All subscribers will get access to video recordings of each lesson, and after completing an assessment, the Association of Professional Researchers and Academicians UK will offer a certificate of completion.
In this course, students will also learn to work with
Pivot tables and charts
Text Mining and bibliometric Software like
Biblioshiny R package
We will use the following databases for the literature search
Web of Science