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Higher education is undergoing radical changes with the arrival of emerging technology that can facilitate better teaching and learning experiences. However, with a lack of technical awareness, technophobia, and security and trust issues, there are several barriers to the uptake of emerging technologies. As a result, many of these new technologies have been overlooked or underutilized. In the information systems and higher education domains, there exists a need to explore underutilized technologies in higher education that can foster communication and learning. Fostering Communication and Learning With Underutilized Technologies in Higher Education is a critical reference source that provides contemporary theories in the area of technology-driven communication and learning in higher education. The book offers new knowledge about educational technologies and explores such themes as artificial intelligence, digital learning platforms, gamification tools, and interactive exhibits. The target audience includes researchers, academicians, practitioners, and students who are working or have a keen interest in information systems, learning technologies, and technology-led teaching and learning. Moreover, the book provides an understanding and support to higher education practitioners, faculty, educational board members, technology vendors and firms, and the Ministry of Education.
Blackboard Architectures and Applications focuses on studies done on blackboard architecture in the industries and academe. Particularly given value is the role this paradigm plays in distributed problem solving, parallelism, and intelligent real-time systems. Composed of 21 chapters, the book contains the literature of authors who have diligently conducted studies on this concern. The book starts by discussing the blackboard model of problem solving, including control and organization, wherein goal relationships and their use in blackboard architecture are noted. Also given attention are BBI basic control loop, an empirical comparison of explicit and implicit control architectures, and the dynamic integration of reasoning methods. The book then proceeds with discussions on the concurrency and parallelism of advanced architectures. Taken into consideration include design alternatives for parallel and distributed blackboard systems; the parallelization of blackboard architectures and the Agora system; and a comparison of the cage system and polygon architecture. Real-time blackboard architecture systems are also explored. This part contains experiments, frameworks, and methods designed to approximate processing in real-time problem solving. The text also points at developments in blackboard systems. Given attention are the architecture of ATOME, performance of GBB, the Erasmus system, and the use of blackboard system for distributed problem solving. The book finally focuses on object-oriented blackboard architecture for model-based diagnostic reasoning; dynamic instructional planning in the BB1 architecture; and consideration of blackboard model for cockpit information management. The book is a vital source of data for those wanting to explore the potential of artificial intelligence.
In his 1992 Ph.D. thesis "Design and analysis techniques for concurrent blackboard systems", John McManus defined several performance metrics for concurrent blackboard systems and developed a suite of tools for creating and analyzing such systems. These tools allow a user to analyze a concurrent blackboard system design and predict the performance of the system before any code is written. The design can be modified until simulated performance is satisfactory. Then, the code generator can be invoked to generate automatically all of the code required for the concurrent blackboard system except for the code implementing the functionality of each knowledge source. We have completed the port of the source code generator and a simulator for a concurrent blackboard system. The source code generator generates the necessary C++ source code to implement the concurrent blackboard system using Parallel Virtual Machine (PVM) running on a heterogeneous network of UNIX workstations. The concurrent blackboard simulator uses the blackboard specification file to predict the performance of the concurrent blackboard design. The only part of the source code for the concurrent blackboard system that the user must supply is the code implementing the functionality of the knowledge sources.
A captivating meditation on education from the author of The Yellow-Lighted Bookshop In Blackboard, Lewis Buzbee looks back over a lifetime of experiences in schools and classrooms, from kindergarten to college and beyond. He offers fascinating histories of the key ideas informing educational practice over the centuries, which have shaped everything from class size to the layout of desks and chairs. Buzbee deftly weaves his own biography into this overview, approaching his subject as a student, a father, and a teacher. In so doing, he offers a moving personal testament to how he, "an average student" in danger of flunking out of high school, became the first in his family to graduate from college. He credits his success to the well-funded California public school system and bemoans the terrible price that state is paying as a result of funding being cut from today's budgets. For Buzbee, the blackboard is a precious window into the wider world, which we ignore at our peril. "Both anecdotal and eloquent, The Yellow-Lighted Bookshop is a tribute to those who crave the cozy confines of a bookshop, a place to be ‘alone among others' and savor a bountiful literary buffet." —Booklist (starred review)
Hands-on and step-by-step instructions on successfully administrating Blackboard Learn from an admin expert. This book is for in-house IT administrators who are responsible for maintaining the school's IT system and making sure that it is ready for the teachers to use. Readers will need some experience with server management and installation.
This updated version of the best-selling Knowledge-Based Systems for Engineers and Scientists (CRC Press, 1993) embraces both the explicit knowledge-based models retained from the first edition and the implicit numerical models represented by neural networks and optimization algorithms. The title change to Intelligent Systems for Engineers and Scie
In recent years there has been a tremendous upsurge of interest in manufac turing systems design and analysis. Large industrial companies have realized that their manufacturing facilities can be a source of tremendous opportunity if managed well or a huge corporate liability if managed poorly. In particular industrial managers have realized the potential of well designed and installed production planning and control systems. Manufacturing, in an environment of short product life cycles and increasing product diversity, looks to tech niques such as manufacturing resource planning, Just In Time (lIT) and total quality control among others to meet the challenge. Customers are demanding high quality products and very fast turn around on orders. Manufacturing personnel are aware of the lead time from receipt of order to delivery of completed orders at the customer's premises. It is clear that this production lead time is, for the majority of manufacturing firms, greatly in excess of the actual processing or manufacturing time. There are many reasons for this, among them poor coordination between the sales and manufacturing function. Some are within the control of the manufacturing function. Others are not.
This six-volume set presents cutting-edge advances and applications of expert systems. Because expert systems combine the expertise of engineers, computer scientists, and computer programmers, each group will benefit from buying this important reference work. An "expert system" is a knowledge-based computer system that emulates the decision-making ability of a human expert. The primary role of the expert system is to perform appropriate functions under the close supervision of the human, whose work is supported by that expert system. In the reverse, this same expert system can monitor and double check the human in the performance of a task. Human-computer interaction in our highly complex world requires the development of a wide array of expert systems. Expert systems techniques and applications are presented for a diverse array of topics including Experimental design and decision support The integration of machine learning with knowledge acquisition for the design of expert systems Process planning in design and manufacturing systems and process control applications Knowledge discovery in large-scale knowledge bases Robotic systems Geograhphic information systems Image analysis, recognition and interpretation Cellular automata methods for pattern recognition Real-time fault tolerant control systems CAD-based vision systems in pattern matching processes Financial systems Agricultural applications Medical diagnosis