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ERIC Number: EJ1131849
Record Type: Journal
Publication Date: 2016
Pages: 18
Abstractor: As Provided
ISSN: ISSN-0973-2217
The 4A Metric Algorithm: A Unique E-Learning Engineering Solution Designed via Neuroscience to Counter Cheating and Reduce Its Recidivism by Measuring Student Growth through Systemic Sequential Online Learning
Osler, James Edward
Journal on School Educational Technology, v12 n2 p44-61 Sep-Nov 2016
This paper provides a novel instructional methodology that is a unique E-Learning engineered "4A Metric Algorithm" designed to conceptually address the four main challenges faced by 21st century students, who are tempted to cheat in a myriad of higher education settings (face to face, hybrid, and online). The algorithmic online neuroscience supported instructional methodology detailed in the narrative also provides an active solution that when implemented addresses the needs of Colleges and Universities who desire new methods to achieve their academic goals (such as increase student retention and graduation rates, and respond to their high standards of student success without diminishing academic rigor). A case study is presented that details how to effectively and successfully implement the algorithm in an online graduate statistics course. Additional research into the infrastructure of the 4A Metric Algorithm as a dynamic neuroengineering online solution will further advance the 4A Metric Algorithm as a standard for in-depth online instruction that is also an interactive solution designed to effectively counter cheating and reduce its recidivism.
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A