In recent years, the use of technology for the purposes of improving and enriching traditional instructional practices has received a great deal of attention. However, few works have explicitly examined cognitive, psychological, and educational principles on which technology-supported learning environments are based. This volume attempts to cover the need for a thorough theoretical analysis and discussion of the principles of system design that underlie the construction of technology-enhanced learning environments. It presents examples of technology-supported learning environments that cover a broad range of content domains, from the physical sciences and mathematics to the teaching of language and literacy.
The emphasis in this book is not on the design of educational software but on the design of learning environments. A great deal of research on learning and instruction has recently moved out of the laboratory into the design of applications in instructional settings. By designing technology-supported learning environments instructional scientists attempt to better understand the theories and principles that are explicit in their theories of learning. The contributors to this volume examine how factors such as social interaction, the creation of meaningful activities, the use of multiple perspectives, and the construction of concrete representations influence the acquisition of new information and transfer.

In computer-supported collaborative learning (CSCL) environments, it is often observed that learners' collaboration processes are suboptimal in at least two aspects: First, learners often experience problems concerning acting in CSCL environments, e.g., how to establish smooth coordination and communication in an environment that is quite often new and unfamiliar to the learners. Secondly, similar to collaborative learning in face-to-face settings, learners often fail to engage in higher-order learning like explaining complex issues or monitoring one's own learning processes. A promising way to deal with these problems is to provide learners with scripts that support them both in communication/coordination and in higher-order learning. In this book, the term script is approached from at least three perspectives: cognitive psychology perspective, computer science perspective, and an educational perspective.

In recent years, the use of technology for the purposes of improving and enriching traditional instructional practices has received a great deal of attention. However, few works have explicitly examined cognitive, psychological, and educational principles on which technology-supported learning environments are based. This volume attempts to cover the need for a thorough theoretical analysis and discussion of the principles of system design that underlie the construction of technology-enhanced learning environments. It presents examples of technology-supported learning environments that cover a broad range of content domains, from the physical sciences and mathematics to the teaching of language and literacy.
The emphasis in this book is not on the design of educational software but on the design of learning environments. A great deal of research on learning and instruction has recently moved out of the laboratory into the design of applications in instructional settings. By designing technology-supported learning environments instructional scientists attempt to better understand the theories and principles that are explicit in their theories of learning. The contributors to this volume examine how factors such as social interaction, the creation of meaningful activities, the use of multiple perspectives, and the construction of concrete representations influence the acquisition of new information and transfer.

Most would agree that the acquisition of problem-solving ability is a primary goal of education. The emergence of the new information technologiesin the last ten years has raised high expectations with respect to the possibilities of the computer as an instructional tool for enhancing students' problem-solving skills. This volume is the first to assemble, review, and discuss the theoretical, methodological, and developmental knowledge relating to this topical issue in a multidisciplinary confrontation of highly recommended experts in cognitive science, computer science, educational technology, and instructional psychology. Contributors describe the most recent results and the most advanced methodological approaches relating to the application of the computer for encouraging knowledge construction, stimulating higher-order thinking and problem solving, and creating powerfullearning environments for pursuing those objectives. The computer applications relate to a variety of content domains and age levels.

This most unusual book results from the NATO Advanced Research Work shop, "Designing Hypertext/Hypermedia for Learning", held in Rottenburg am Neckar, FRO, from July 3-8, 1989. The idea for the workshop resulted from the burgeoning interest in hypertext combined with the frustrating lack of literature on leaming applications for hypertext. There was little evidence in 1988 that hypertext could successfully support learning out comes. A few projects were investigating hypertext for learning, but few conclusions were available and little if any advice on how to design hyper text for learning applications was available. Could hypertext support learning objectives? What mental processing requirements are unique to learning outcomes? How would the processing requirements of learning outcomes interact with unique user processing requirements of browsing and constructing hypertext? Should hypertext information bases be restruc tured to accommodate learning outcomes? Should the user interface be manipulated in order to support the task functionality of learning outcomes? Does the hypertext structure reflect the intellectual requirements of learning outcomes? What kinds of learning-oriented hypertext systems were being developed and what kinds of assumptions were these systems making? These and other questions demonstrated the need for this workshop. The workshop included presentations, hardware demonstrations, sharing and browsing of hypertexts, and much discussion about all of the above. These were the experiences that you, the reader of this book, unfortunately did not experience.

The NATO workshop ''Knowledge acquisition in the domain of physics and intelligent learning environments" was held in Lyon, France, July 8-12, 1990. A total of 31 researchers from Europe (France, Germany, Greece, Italy, Portugal, and the U. K. ), the U. S. A. , and Japan worked together. This proceedings volume contains most of the contributions to the workshop. The papers show clearly the main directions of research in intelligent learning environments. They display a variety of points of view depending on the researcher's own background even when a single domain of teaching, namely physics, is considered. We acknowledge the assistance of Michael Baker, who was responsible for reviewing the English of the contributions. February 1992 Andree TIberghien Heinz Mandl Table of Contents Introduction 1 1. Teaching Situations and Physics Knowledge Introductory University Courses and Open Environment Approaches: The Computer as a Multi-role Mediator in Teaching/Learning Physics 5 E. Balzano, P. Guidoni, M. Moretti, E. Sassi, G. Sgueglia Practical Work Aid: Knowledge Representation in a Model Based AI System 21 J. Courtois Simultaneous Processing of Different Problem Aspects in Expert Problem Solving: An Analysis in the Domain of Physics on the Basis of Formal Theories of Commonsense Knowledge 35 A. Hron Modelis: An Artificial Intelligence System Which Models Thermodynamics Textbook Problems 47 G. Tisseau 2. Different Approaches to Student Modelling Steps Towards the Formalisation of a Psycho-logic of Motion 65 J. Bliss, J.

The present volume contains a large number of the papers contributed to the Advanced Study Institute on the Psychological and Educational Foundations of Technology-Based Learning Environments, which took place in Crete in the summer of 1992. The purpose of the Advanced Study Institute was to bring together a small number of senior lecturers and advanced graduate students to investigate and discuss the psychological and educational foundations of technology-based learning environments and to draw the implications of recent research findings in the area of cognitive science for the development of educational technology. As is apparent from the diverse nature of the contributions included in this volume, the participants at the ASI came from different backgrounds and looked at the construction of technology -based learning environments from rather diverse points of view. Despite the diversity, a surprising degree of overlap and agreement was achieved. Most of the contributors agreed that the kinds of technology-supported learning environments we should construct should stimulate students to be active and constructive in their knowledge-building efforts, embed learning in meaningful and authentic activities, encourage collaboration and social interaction, and take into consideration students' prior knowledge and beliefs.

Theoretically, the term "script" appears to be rather ill-defined.

This book clarifies the use of the term "script" in education. It approaches the term from at least three perspectives: cognitive psychology perspective, computer science perspective, and an educational perspective. The book provides learners with scripts that support them both in communication/coordination and in higher-order learning.

Ein multidisziplinarer Diskurs uber Wissensmanagement in Wissenschaft und Praxis."

Learning Issues for Intelligent Tutoring Systems arrays the most current and exciting research in this dynamic and growing area of cognitive science. The various contributions address the design and use of instructional systems as well as the important theoretical and practical questions involved in implementing knowledge-based systems. This book offers complete and up-to-date reviews of the major research programs in computer-aided instruction and intelligent tutoring systems. Learning Issues for Intelligent Tutoring Systems is an important and useful introduction to this rapidly changing field.

Thorsten Bosch stellt die Messbarkeit des Trainingserfolgs im soft-skill-Bereich in den Mittelpunkt seiner Untersuchung und evaluiert das von ihm selbst entwickelte "Bosch-Modell," ein Blended Learning-Konzept zur Verbesserung der Fahigkeit zum Fuhren von Verkaufsgesprachen. Hierbei stutzt er sich auf laufende Kundenprojekte seines Beratungsunternehmens und misst sozusagen in Echtzeit."

Das vorliegende Buch beschreibt den Stand der Empirischen Bildungsforschung in Deutschland unter Einbeziehung internationaler Entwicklungen und zeigt die Moglichkeiten, wie diese Forschung gefordert werden sollte. Im Vordergrund stehen besonders die Nachwuchsforderung, unterstutzende strukturelle Rahmenbedingungen an Hochschulen sowie die Ausrichtung von Forschungsprogrammen auf spezifische Themenstellungen der Empirischen Bildungsforschung."