Search results
Results from the WOW.Com Content Network
While the analysis of educational data is not itself a new practice, recent advances in educational technology, including the increase in computing power and the ability to log fine-grained data about students' use of a computer-based learning environment, have led to an increased interest in developing techniques for analyzing the large amounts of data generated in educational settings.
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.
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, teaching methods, teacher training, and classroom dynamics.
Statistics education is the practice of teaching and learning of statistics, along with the associated scholarly research. Statistics is both a formal science and a practical theory of scientific inquiry , and both aspects are considered in statistics education.
Dawson, S., & McWilliam, E. (2008). Investigating the application of IT generated data as an indicator of learning and teaching performance: Queensland University of Technology and the University of British Columbia. (A. L. a. T. Council o. Document Number) Ferguson, R. (2012). Learning analytics: drivers, developments and challenges.
The construct has since been adopted by other organizations engaged in digital library and digital learning resource projects including the Learning Registry [7] initiative spearheaded by the Office of Educational Technology at the U.S. Department of Education [8] and the Advanced Distributed Learning Initiative at the Department of Defense. [9]
This is where understanding plays an important role. The goal of Teaching for Understanding is to give students the tools to take what they know, and what they will eventually know, and make a mindful connection between the ideas. [7] In a world that is filled with data, teachers are only able to help students learn a small number of ideas and ...
Value-added modeling (also known as value-added measurement, value-added analysis and value-added assessment) is a method of teacher evaluation that measures the teacher's contribution in a given year by comparing the current test scores of their students to the scores of those same students in previous school years, as well as to the scores of other students in the same grade.