17. Identificare, selezionare e sviluppare le idee promettenti nel Knowledge Building

Authors

  • Bodong Chen Institute for Knowledge Innovation and Technology,OISE/University of Toronto
  • Monica Resendes Institute for Knowledge Innovation and Technology,OISE/University of Toronto
  • Maria Chuy Institute for Knowledge Innovation and Technology,OISE/University of Toronto
  • Christian Tarchi University of Florence
  • Carl Bereiter Institute for Knowledge Innovation and Technology,OISE/University of Toronto
  • Marlene Scardamalia Institute for Knowledge Innovation and Technology,OISE/University of Toronto

Abstract

Identifying promising ideas is a significant challenge in any creative enterprise.This paper explores the concept of "promisingness judgements" and describesinitial research efforts to cultivate the capacity of students to practice these judgments.As a common characteristic of creative experts, the capacity to make successfulpromisingness judgements is grounded by a rich base of "impressionisticknowledge" accumulated over time. The goal of this study is to help studentsacquire and practice this knowledge. Toward this end we designed a "BigIdeas" tool embedded in a knowledge building environment to facilitate makingpromisingness judgements of collaborative, online work. Results indicate thatstudents can exercise a certain level of promisingness judgements; further researchis needed to determine if more effective tools will increase this aspect oftheir knowledge-building work.

Author Biography

Christian Tarchi, University of Florence

Christian Tarchi

Dipartimento di Psicologia – Università degli Studi di Firenze

Via di San salvi, 12 – 50135 Firenze

Tel. 055-6237811

Email christian.tarchi@gmail.com

Published

2012-02-03