TITLE: Building Up Bridges For Natural Inspired Computational Models Across Behavioral Brain Functional Phenomena ; And Open Learning Systems INSTRUCTOR'S NAME: Hassan Mohamed Hassan Mustafa Computer Engineering Department, Faculty of Engineering, Al-Baha University , Al-Baha, Kingdom of Saudi Arabia Phone: (+966) 7725-5198 & Fax: (+966) 7725-4350 E-mail: firstname.lastname@example.org ABSTRACT The field of the learning sciences is represented by a growing community internationally. Many experts now recognize that conventional ways of conceiving knowledge, educational systems and technology-mediated learning are facing increasing challenging issues in this time of rapid technological and social changes. Furthermore, due to recently excessive progress in information technologies and computer applied at the field of the learning sciences, some complex interdisciplinary educational issues arise in practice. The suggested tutorial motivated by four recently published papers .Those are characterized by their novelty associated with the interdisciplinary challenging bridged research areas. In more details, adopted tutorial subject concerned with the theoretical analysis and evaluation of constructive bridges among naturally inspired models based on a set of research topics including: Evaluation of Students' Adaptability Using Artificial Neural Networks (ANNs ) Modelling & Learning Creativity in Ant Colony Systems (ACS) Versus Human Creativity & Study of Computer Assisted Learning (CAL) Applied at Psych-Learning and Cognitive Sciences, and Quality Improvement of Engineering Education. In brief , do we want to anchor the following three goal topics : 1- Evaluation of adaptability of Open Learning Systems. 2- Early discovery of creative children at primary schools(fifth grade level). 3- Quality Improvement (Grade Point Average), at Engineering Education . During conduction our tutorial, above adopted goal could be reached via comprehensive presentation of the following interdisciplinary pieces of research work titled (published recently) : a) On Assessment of Brain Function Adaptability in Open Learning Systems Using Neural Network Modeling (Cognitive Styles Approach) . b) On Quantifying of Learning Creativity through Simulation and Modeling of Swarm Intelligence and Neural Networks. c) On Early Discovery of Mathematically Creative Children using Artificial Neural Networks Modeling (via software testing Computer Assisting Learning.(CAL) package) d) On Analysis and Evaluation of Students' Grade Point Average in Engineering Education Considering a specified Learning Style Model Using Neural Networks. (with a case study) Finally, the managing specifications of adopted tutorial are as follows: * Tutorial Time Period: Approximately Two Hours (such that each of four section may elapse for 30 minutes) *Participants : attendees need to be interested in above interdisciplinary research topics. * Tutorial format (Talks & Demo) * Noting that proposed tutorial has not been given at any time before.