Skip to main content
SpringerLink
Log in

Cognitive Models and Intelligent Environments for Learning Programming

  • Conference proceedings
  • © 1993

Overview

Editors:
  1. Enrica Lemut

    1. Istituto Matematica Applicata, C.N.R., Genova, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Benedict Boulay

    1. School of Cognitive and Computing Sciences, University of Sussex, Falmer, Brighton, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Giuliana Dettori

    1. Istituto Matematica Applicata, C.N.R., Genova, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: NATO ASI Subseries F: (NATO ASI F, volume 111)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (25 papers)

  1. Front Matter

    Pages I-VIII
    Download chapter PDF

  2. Introduction

    1. Introduction

      • Enrica Lemut, Benedict du Boulay, Giuliana Dettori
      Pages 1-5

  3. Understanding Programming

  4. Environments for Learning Programming

    1. Intelligent Tutoring Systems

      1. Towards an Intelligent Environment for Learning Introductory Programming
        • Peter L. Brusilovsky
        Pages 114-124
      2. Programming Environments for Novices
        • Haider Ramadhan, Benedict du Boulay
        Pages 125-134
      3. Student Modeling in an Intelligent Programming Tutor
        • Albert T. Corbett, John R. Anderson
        Pages 135-144
      4. Incidental Reification of Goals in an Intelligent Tutor for Smalltalk
        • Mark K. Singley, John M. Carroll, Sherman R. Alpert
        Pages 145-155
      5. Methodology and Design Issues in Capra, an Environment for Learning Program Construction
        • M. Felisa Verdejo, Isabel Fernández, M. Teresa Urretavizcaya
        Pages 156-171
      6. Linking Theory with ITS Implementation: Models of Programming and the Development of Programming Tutors
        • Simon P. Davies, Adrian M. Castell
        Pages 172-184

    2. Pure Programming Environments

      1. Two and One-Half Approaches to Helping Novices Learn Recursion
        • Gordon I. McCalla, Jim E. Greer
        Pages 185-197
      2. Knowledge Based Tools in Software Engineering Education
        • Paola Forcheri, Maria Teresa Molfino
        Pages 198-209
      3. Analogies in an Intelligent Programming Environment for Learning LISP
        • Gerhard Weber
        Pages 210-219
Back to top

Keywords

About this book

At present, there is a general consensus on the nature of learning programming, but there are different opinions on what forms an effective environment for it. It is generally recognized that the development of a mental model is a formidable task for the student and that learning programming is a complex activity that depends heavily on metacognitive skills. This book, based on a NATO workshop, presents both pure cognitive models and experimental learning environments, and discusses what characteristics can make a learning model effective, especially in relation to the learning environment (natural or computerized). The papers cover cognitive models related to different aspects of programming, classes of learners, and types of environment, and are organized in three groups: theoretical and empirical studies on understanding programming, environments for learning programming, and learning programming in school environments. Comprehension, design, construction, testing, debugging, and verification are recognized as interdependent skills, which require complicated analysis and may develop independently, and indifferent orders, in novices. This book shows that there is unlikely to be asingle path from novice to expert and that the structure of the final product (the program) may not constrain the process by which it comes into being as much as some would advocate.

Editors and Affiliations

  • Istituto Matematica Applicata, C.N.R., Genova, Italy

    Enrica Lemut, Giuliana Dettori

  • School of Cognitive and Computing Sciences, University of Sussex, Falmer, Brighton, UK

    Benedict Boulay

Bibliographic Information

  • Book Title: Cognitive Models and Intelligent Environments for Learning Programming

  • Editors: Enrica Lemut, Benedict Boulay, Giuliana Dettori

  • Series Title: NATO ASI Subseries F:

  • DOI: https://doi.org/10.1007/978-3-662-11334-9

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1993

  • Hardcover ISBN: 978-3-540-56580-2Published: 29 July 1993

  • Softcover ISBN: 978-3-642-08156-9Published: 11 March 2011

  • eBook ISBN: 978-3-662-11334-9Published: 11 November 2013

  • Series ISSN: 0258-1248

  • Edition Number: 1

  • Number of Pages: VIII, 312

  • Topics: Artificial Intelligence, Programming Techniques

Publish with us

Policies and ethics

Back to top

Search

Navigation