THE 4A METRIC ALGORITHM: A UNIQUE E–LEARNING ENGINEERING SOLUTION DESIGNED VIA NEUROSCIENCE TO COUNTER CHEATING AND REDUCE ITS RECIDIVISM BY MEASURING STUDENT GROWTH THOROUGH SYSTEMIC SEQUENTIAL ONLINE LEARNING
- NCCU Author/Contributor (non-NCCU co-authors, if there are any, appear on document)
- James Osler, Professor (Creator)
- Institution
- North Carolina Central University (NCCU )
- Web Site: www.nccu.edu/academics/library/
Abstract: This paper provides a novel instructional methodology that is a unique E-Learning engineered “4A Metric Algorithm”st designed to conceptually address the four main challenges faced by 21 century students, who are tempted to cheat ina myriad of higher education settings (face to face, hybrid, and online). The algorithmic online neuroscience supportedinstructional methodology detailed in the narrative also provides an active solution that when implemented addressesthe needs of Colleges and Universities who desire new methods to achieve their academic goals (such as increasestudent retention and graduation rates, and respond to their high standards of student success without diminishingacademic rigor). A case study is presented that details how to effectively and successfully implement the algorithm in anonline graduate statistics course. Additional research into the infrastructure of the 4A Metric Algorithm as a dynamicneuroengineering online solution will further advance the 4A Metric Algorithm as a standard for in–depth onlineinstruction that is also an interactive solution designed to effectively counter cheating and reduce its recidivism.Keywords: 4A Metric , 4A Metric Algorithm, Cheating, Cheating Recidivism, Eduscience, Educational Science,Instructional [Systems] Design, Learning, Mathematical Model, Mastery Testing, Micro-Level, Online Learning, Neuroscience,Sub-Level.
Additional Information
- Publication
- Language: English
- Date: 2021