Systematic reviews are a type of review that uses repeatable analytical methods to collect secondary data and analyse it. Systematic reviews are a type of evidence synthesis which formulate research questions that are broad or narrow in scope, and identify and synthesize data that directly relate to the systematic review question. Some systematic reviews critically appraise research studies, and synthesize findings qualitatively or quantitatively. For example, systematic reviews of randomized controlled trials are an important way of informing evidence-based medicine ,  and a review of existing studies is often quicker and cheaper than embarking on a new study. While systematic reviews are often applied in the biomedical or healthcare context, they can be used in other areas where an assessment of a precisely defined subject would be helpful.
A step by step guide for conducting a systematic review and meta-analysis with simulation data
A young researcher's guide to a systematic review Editage Insights
Metrics details. Systematic reviews have been considered as the pillar on which evidence-based healthcare rests. Systematic review methodology has evolved and been modified over the years to accommodate the range of questions that may arise in the health and medical sciences. This paper explores a concept still rarely considered by novice authors and in the literature: determining the type of systematic review to undertake based on a research question or priority. Within the framework of the evidence-based healthcare paradigm, defining the question and type of systematic review to conduct is a pivotal first step that will guide the rest of the process and has the potential to impact on other aspects of the evidence-based healthcare cycle evidence generation, transfer and implementation.
Metrics details. According to various international reports, Artificial Intelligence in Education AIEd is one of the currently emerging fields in educational technology. This paper seeks to provide an overview of research on AI applications in higher education through a systematic review. Out of initially identified publications for the period between and , articles were included for final synthesis, according to explicit inclusion and exclusion criteria. The descriptive results show that most of the disciplines involved in AIEd papers come from Computer Science and STEM, and that quantitative methods were the most frequently used in empirical studies.
Is there a way to simplify the preparation of your research or thesis proposal without leaving out the important items to include in its preparation? This article provides four steps that will guide you on how to write your research proposal. Try the matrix approach described and explained in this easy to understand article and reap the benefits. You may find yourself getting into the trouble of writing and rewriting your thesis proposal because you tend to miss important details pertinent to what you intend to investigate and how you will go about it.