Erik de Corte – författare

Within an increasingly multimedia focused society, the use of external representations in learning, teaching and communication has increased dramatically. Whether in the classroom, university or workplace, there is a growing requirement to use and interpret a large variety of external representational forms and tools for knowledge acquisition, problem solving, and to communicate with others.Use of Representations in Reasoning and Problem Solving brings together contributions from some of the world’s leading researchers in educational and instructional psychology, instructional design, and mathematics and science education to document the role which external representations play in our understanding, learning and communication. Traditional research has focused on the distinction between verbal and non-verbal representations, and the way they are processed, encoded and stored by different cognitive systems. The contributions here challenge these research findings and address the ambiguity about how these two cognitive systems interact, arguing that the classical distinction between textual and pictorial representations has become less prominent. The contributions in this book explore:how we can theorise the relationship between processing internal and external representationswhat perceptual and cognitive restraints can affect the use of external representationshow individual differences affect the use of external representationshow we can combine external representations to maximise their impacthow we can adapt representational tools for individual differences.Using empirical research findings to take a fresh look at the processes which take place when learning via external representations, this book is essential reading for all those undertaking postgraduate study and research in the fields of educational and instructional psychology, instructional design and mathematics and science education.

Within an increasingly multimedia focused society, the use of external representations in learning, teaching and communication has increased dramatically. Whether in the classroom, university or workplace, there is a growing requirement to use and interpret a large variety of external representational forms and tools for knowledge acquisition, problem solving, and to communicate with others.Use of Representations in Reasoning and Problem Solving brings together contributions from some of the world’s leading researchers in educational and instructional psychology, instructional design, and mathematics and science education to document the role which external representations play in our understanding, learning and communication. Traditional research has focused on the distinction between verbal and non-verbal representations, and the way they are processed, encoded and stored by different cognitive systems. The contributions here challenge these research findings and address the ambiguity about how these two cognitive systems interact, arguing that the classical distinction between textual and pictorial representations has become less prominent. The contributions in this book explore:how we can theorise the relationship between processing internal and external representationswhat perceptual and cognitive restraints can affect the use of external representationshow individual differences affect the use of external representationshow we can combine external representations to maximise their impacthow we can adapt representational tools for individual differences.Using empirical research findings to take a fresh look at the processes which take place when learning via external representations, this book is essential reading for all those undertaking postgraduate study and research in the fields of educational and instructional psychology, instructional design and mathematics and science education.

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 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-solvingability is a primary goal of education. The emergence of thenew information technologiesin the last ten years hasraised high expectations with respect to the possibilitiesof the computer as an instructional tool for enhancingstudents' problem-solving skills.This volume is the first to assemble, review, and discussthe theoretical, methodological, and developmental knowledgerelating to this topical issue in a multidisciplinaryconfrontation of highly recommended experts in cognitivescience, computer science, educational technology, andinstructional psychology.Contributors describe the most recent results and the mostadvanced methodological approaches relating to theapplication of the computer for encouraging knowledgeconstruction, stimulating higher-order thinking and problemsolving, and creating powerfullearning environments forpursuing those objectives. The computer applications relateto a variety of content domains and age levels.

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.