Knowledge Based Artificial Augmentation Intelligence Technology: Next Step in Academic Instructional Tools for Distance Learning

With augmented intelligence/knowledge based system (KBS) it is now possible to develop distance learning applications to support both curriculum and administrative tasks. Instructional designers and information technology (IT) professionals are now moving from the programmable systems era that started in the 1950s to the cognitive computing era. In cognitive computing or KBS a machine understands natural language, adapts, learns, and generates and evaluates hypotheses. A KBS system can manage data and assist instructional designers in creating tools and curricula that generate meaningful applications. As a proof of the concept, the authors conducted an exploratory case study with the input of twenty subject-matter experts (programmers, instructional designers, and content experts) for development of a proto-type KBS scholarly writing software (SWS) application that can be used for distance/online learning. Philosophical differences between the artificial intelligence and augmented intelligence approaches are also discussed. The role of instructional designers in the development and use of augmented intelligence with IBM’s Watson is also a significant part of the discussion.

[1]  Wu He,et al.  Exploring Cloud Computing for Distance Learning , 2011 .

[2]  W. Ross Ashby,et al.  Design for an Intelligence-Amplifier , 1956 .

[3]  Daby M. Sow,et al.  IBM’s Health Analytics and Clinical Decision Support , 2014, Yearbook of Medical Informatics.

[4]  Michael Hanus,et al.  An ER-based framework for declarative web programming* , 2010, Theory and Practice of Logic Programming.

[5]  Yosef Jabareen,et al.  Building a Conceptual Framework: Philosophy, Definitions, and Procedure , 2009 .

[6]  Bryan LaBrecque,et al.  Teaching Multiple Online Sections/Courses: Tactics and Techniques. , 2016 .

[7]  W. Ashby Design for a Brain , 1954 .

[8]  Joel J. P. C. Rodrigues,et al.  EduTutor: An Intelligent Tutor System for a Learning Management System , 2010, Int. J. Distance Educ. Technol..

[9]  Xiu-lan Ma,et al.  Intelligent Interaction System of Distance Education Based on Natural Language Matching , 2012 .

[10]  James A. Kulik,et al.  Effectiveness of Intelligent Tutoring Systems , 2016 .

[11]  Jennifer Chu-Carroll,et al.  Building Watson: An Overview of the DeepQA Project , 2010, AI Mag..

[12]  P. Bryan Heidorn,et al.  Shedding Light on the Dark Data in the Long Tail of Science , 2008, Libr. Trends.

[13]  P. Densen Challenges and opportunities facing medical education. , 2011, Transactions of the American Clinical and Climatological Association.

[14]  Aleksandr Ometov,et al.  Visualizing Big Data with augmented and virtual reality: challenges and research agenda , 2015, Journal of Big Data.

[15]  Erik T. Mueller,et al.  Watson: Beyond Jeopardy! , 2013, Artif. Intell..