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v. t. e. Not to be confused with Education sciences, Instructional theory, or Pedagogy. Educational research refers to the systematic collection and analysis of evidence and data related to the field of education. Research may involve a variety of methods [ 1 ][ 2 ][ 3 ] and various aspects of education including student learning, interaction ...
Quantitative methods are an integral component of the five angles of analysis fostered by the data percolation methodology, [10] which also includes qualitative methods, reviews of the literature (including scholarly), interviews with experts and computer simulation, and which forms an extension of data triangulation. Quantitative methods have ...
Dr. Wolfgang Greller and Dr. Hendrik Drachsler defined learning analytics holistically as a framework. They proposed that it is a generic design framework that can act as a useful guide for setting up analytics services in support of educational practice and learner guidance, in quality assurance, curriculum development, and in improving teacher effectiveness and efficiency.
The purpose of data driven instruction is to use information to guide teaching and learning. Dylan Wiliam offers examples of data driven instruction using formative assessment: Clarifying, sharing, and understanding learning intentions and criteria. Eliciting evidence of learners’ achievement. Providing feedback that moves learning forward.
Meta-analysis is a method of synthesis of quantitative data from multiple independent studies addressing a common research question. An important part of this method involves computing a combined effect size across all of the studies. As such, this statistical approach involves extracting effect sizes and variance measures from various studies.
A systematic review is a scholarly synthesis of the evidence on a clearly presented topic using critical methods to identify, define and assess research on the topic. [1] A systematic review extracts and interprets data from published studies on the topic (in the scientific literature), then analyzes, describes, critically appraises and summarizes interpretations into a refined evidence-based ...
v. t. e. Data and information visualization (data viz/vis or info viz/vis) [ 2 ] is the practice of designing and creating easy-to-communicate and easy-to-understand graphic or visual representations of a large amount [ 3 ] of complex quantitative and qualitative data and information with the help of static, dynamic or interactive visual items.
Data-informed decision-making (DIDM) gives reference to the collection and analysis of data to guide decisions that improve success. [ 1 ] Another form of this process is referred to as data-driven decision-making, "which is defined similarly as making decisions based on hard data as opposed to intuition, observation, or guesswork." [ 2 ]