Use the quick-start guide to create your course in a flash Post course materials, give quizzes, facilitate discussions, and handle grades You're an educator, not a psychic, so how would you know how to use Blackboard with no instructions? These step-by-step examples show you how to set up a Blackboard classroom, put your materials on the Internet, communicate online with students, and even evaluate their performance. Discover how to * Navigate the Blackboard environment * Customize your course menu * Add and organize course materials * Give online assignments * Conduct online discussions and chat rooms * Keep track of grades

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.

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.

What Is Blackboard System A blackboard system is an artificial intelligence technique that is based on the blackboard architectural model. In this paradigm, a common knowledge base, also known as the "blackboard," is iteratively updated by a diverse set of expert knowledge sources, beginning with a problem specification and ending with a solution. A blackboard system is also known as a blackboard system. If a knowledge source's internal constraints are satisfied by the current state of the blackboard, then that knowledge source contributes a partial solution to the blackboard. The problem is ultimately solved as a result of the combined efforts of the specialists. The blackboard model was at first conceived as a method for dealing with difficult, ill-defined situations in which the solution is equal to the total of the problem's components. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Blackboard System Chapter 2: Artificial Intelligence Chapter 3: Expert System Chapter 4: Knowledge Representation and Reasoning Chapter 5: Distributed Artificial Intelligence Chapter 6: Symbolic Artificial Intelligence Chapter 7: Collaborative Intelligence Chapter 8: Multi-Agent System Chapter 9: Knowledge-Based Systems Chapter 10: Outline of Artificial Intelligence (II) Answering the public top questions about blackboard system. (III) Real world examples for the usage of blackboard system in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of blackboard system' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of blackboard system.