The document summarizes the student's portfolio in educational technology. It begins with an introduction of the student and defines educational technology as a field that applies processes to solve problems in human learning. It discusses technology as both a boon and bane, and explains the systematic approach to teaching with a focus on the student. The roles of educational technology in learning are outlined, and concepts from the new Bloom's taxonomy and Dale's Cone of Experiences are explained. Learning models like meaningful learning, generative learning, and constructivism are also defined. The document concludes by stating that studying educational technology enhanced the student's knowledge and skills with technology and provided a deeper understanding of its role in teaching and learning.
The document discusses different types of expert systems and problem solving techniques used in artificial intelligence. It provides examples of rule-based expert systems using if-then rules to diagnose automotive problems. It also describes model-based, case-based and hybrid systems, as well as planning techniques like using state space graphs and means-ends analysis to solve problems like rearranging blocks. The document contains diagrams illustrating concepts like the architecture of expert systems, production rule systems, and search techniques.
The document summarizes the student's portfolio in educational technology. It begins with an introduction of the student and defines educational technology as a field that applies processes to solve problems in human learning. It discusses technology as both a boon and bane, and explains the systematic approach to teaching with a focus on the student. The roles of educational technology in learning are outlined, and concepts from the new Bloom's taxonomy and Dale's Cone of Experiences are explained. Learning models like meaningful learning, generative learning, and constructivism are also defined. The document concludes by stating that studying educational technology enhanced the student's knowledge and skills with technology and provided a deeper understanding of its role in teaching and learning.
The document discusses different types of expert systems and problem solving techniques used in artificial intelligence. It provides examples of rule-based expert systems using if-then rules to diagnose automotive problems. It also describes model-based, case-based and hybrid systems, as well as planning techniques like using state space graphs and means-ends analysis to solve problems like rearranging blocks. The document contains diagrams illustrating concepts like the architecture of expert systems, production rule systems, and search techniques.