iDEA-SLO:intelligent Distributed Education Advocated as Sustainable Learning Outlets

Volume 8, Issue 3, June 2024     |     PP. 103-128      |     PDF (1242 K)    |     Pub. Date: August 16, 2024
DOI: 10.54647/isss120351    17 Downloads     1966 Views  

Author(s)

Sheldon Liang, Computer Science, Lane College, Jackson, TN, USA
Alexis Rainbow, Music / Vocal, Lane College, Jackson, TN, USA
William Cox, Computer Science, Lane College, Jackson, TN, USA
Jon Hardin, Math & Science, Chester County Middle School, Henderson, TN, USA
Paul Miller, Educator, Alumnus of Freed-Hardeman University, Henderson, TN, USA
Henry Whitlow, Business, Clark Atlanta University, Atlanta, GA, USA

Abstract
Intelligent distributed education advocacy for sustainable learning outlets (iDEA-SLO) has emerged from cloud-based intelligent service by combining educational innovations to satisfy modern learners’ needs with sustainable learning outlets that combine traditional classroom and comprehensive online courseware (CoC). One such innovation introduces a ground-breaking concept to embrace sustainable learning through structure, spontaneity, smoothness and synthesis. These bring great intelligence or skill into learning, making it enjoyable while also eliminating boredom and redundancy from classes. The sustainability of learning mirrors traditional student learning outcomes (SLO) that aim for learning outcomes, and instructional outlets through universal interactivity for student-centered engagement. This paper presents iDEA-SLO for sustainable learning that novelly morphs into structural operation, spontaneous option, smooth refinement, and synthetic codification. The blended iDEA-SLO advances hybrid learning across traditional learning (in the classroom) and sustainable life-long learning in an eclectic & elastic approach. Central to sustainable learning outlets, artificial intelligence & machine learning (AIM) play a key role in S4LO: structural operation, spontaneous option, smooth refinement, and synthetic codification through a lean-tiered outlet. As a result, the intelligent distributed education advocacy (iDEA) enables S4LO to be blended comprehensively with holistic (synthetic) courseware, harmonious (self-paced & instructional) activities, hands-on (structural) coursework to harness educational equity & excellence through an AI-empowered “digital twin” that encourages divergences of learning need. As a result, iDEA-SLO works in tandem with cloud extraction, digital transformation, and archival loading to provide an improved series of cloud intelligent services available at a learner’s fingertips.

Keywords
AI-harnessed “digital twin” for educational equity, SLiM-CD, Sustainable Learning information Management & Content Delivery

Cite this paper
Sheldon Liang, Alexis Rainbow, William Cox, Jon Hardin, Paul Miller, Henry Whitlow, iDEA-SLO:intelligent Distributed Education Advocated as Sustainable Learning Outlets , SCIREA Journal of Information Science and Systems Science. Volume 8, Issue 3, June 2024 | PP. 103-128. 10.54647/isss120351

References

[ 1 ] Blog, Blended-Learning, What is Blended Learning? Western Governors University,, https://www.wgu.edu/blog/blended-learning2109.html
[ 2 ] University of Colorado, Boulder, Interactive Simulations for Science and Math, Over 1.5 billion simulations delivered https://phet.colorado.edu/
[ 3 ] Government technology, Higher Ed Sees Increasing AI Use, but Falling Expectations https://www.govtech.com/education/higher-ed/higher-ed-sees-increasing-ai-use-but-falling-expectations
[ 4 ] Liang, S. Lebby, K. and McCarthy, P. (June, 2020). wiseCIO: Web-Based Intelligent Services Engaging Cloud Intelligence Outlet. SAI 2020: Intelligent Computing, Vol. 1, 169-195. doi: 10.1007/978-3-030-52249-0_12
[ 5 ] Liang, S. et al (2024) iDEAL-CIO: instant Digital Express Advocated “Magic Lamp” for Cloud Intelligence Outlet, Intelligent Information Management (IIM), Vol. 16, No.1,. January, 2024. doi: 10.4236/iim.2024.161004.
[ 6 ] Liang, S., et al (2021). iDATA-Orchestrated wiseCIO for Anything-as-a-Service. FICC 2021: Advances in Information and Communication. Vol. 1363, 401-424, Springer. doi: //link.springer.com/chapter/10.1007/978-3-030-73100-7_29
[ 7 ] Liang, S., Hall, C., Pogge, J. and Van Str, M. (2022). CARE: Cloud Archival Repository Express via Algorithmic Machine Learning. Intelligent Information Management, Vol. 14, No. 4, 133-156. doi: 10.4236/iim.2022.144010
[ 8 ] Liang, S., Miller, P.A., (2023/chapter) Magic GIFT for Digital Library Innovation with Grouping,Indexing, Folding, and Targeting, Digital Libraries – Definition Types and Library Space. Edited by Liat Klain Gabbay, IntechOpen Publisher, London, UK. doi: http://dx.doi.org/10.5772/intechopen.1003051
[ 9 ] Henry Whitlow, Educational Technologies Subscription Services, MIT Solve: Re-engaging Learners, https://solve.mit.edu/challenges/re-engage-learners/solutions/62414
[ 10 ] Yash Kishore (2024), Optimizing Enterprise Conversational AI: Accelerating Response Accuracy with Custom Dataset Fine-Tuning. Intelligent Information Management Vol.16 No.2, March 13, 2024. DOI: 10.4236/iim.2024.162005
[ 11 ] IBM, What Is OLAP (online analytical processing)?. https://www.ibm.com/topics/olap
[ 12 ] Educator Corner (Copyright 2023), The Learning Pyramid. https://www.researchgate.net/publication/327410675_Excavating_the_origins_of_the_learning_pyramid_myths, or https://www.educationcorner.com/the-learning-pyramid.html
[ 13 ] Man Liu, Rong Su (2023), Digital Transformation of Postgraduate Education. Intelligent Information Management, Vol.15 No.5, DOI: 10.4236/iim.2023.155016
[ 14 ] Divide & conquer https://www.geeksforgeeks.org/divide-and-conquer/
[ 15 ] Story to Grow - Weighing elephant, http://storiestogrowby.org/story/early-reader-weighing-elephant-english-stories-kids/
[ 16 ] The Purpose of Parables, https://www.ligonier.org/learn/devotionals/purpose-parables
[ 17 ] Gordon Wetzstein, Digital Image Processing, https://web.stanford.edu/class/ee368/Handouts/Lectures//2015_Autumn/1-Introduction.pdf
[ 18 ] Cowan, N. (2015) George Miller’s Magical Number of Immediate Memory in Retrospect: Observations on the Faltering Progression of Science. Psychological Review, 122, 536-541 https://doi.org/10.1037/a0039035
[ 19 ] Jeannette M. Wing, Viewpoint: Computational Thinking, https://www.cs.cmu.edu/~15110-s13/Wing06-ct.pdf
[ 20 ] Nelson Ford (1985), Decision support systems and expert systems: A comparison. Information & Management, 1985, https://www.academia.edu/48461323/Decision_support_systems_and_expert_systems_A_comparison
[ 21 ] Sercan Sari (2023), RISC vs. CISC. https://www.baeldung.com/cs/risc-vs-cisc