Deep comprehension : multi-disciplinary approaches to understanding, enhancing, and measuring comprehension / edited by Keith Millis, Debra L. Long, Joseph P. Magliano, and Katja Wiemer.

Format:

Book

Contributor:

Millis, Keith, editor.

Long, Debra L., editor.

Magliano, Joseph P., editor.

Wiemer, Katja, editor.

Language:

English

Subjects (All):

Comprehension.

Comprehension--Testing.

Learning, Psychology of.

Physical Description:

xxi, 282 pages : illustrations ; 23 cm

Place of Publication:

New York : Routledge, Taylor & Francis Group, 2019.

Summary:

This volume provides an overview of research from the learning sciences into understanding, enhancing, and measuring "deep comprehension" from a psychological, education, and psychometric perspective. It describes the characteristics of deep comprehension, what techniques may be used to improve it, and how deep levels of comprehension may be distinguished from shallow ones. It includes research on personal-level variables; how intelligent tutors promote comprehension; and the latest developments in psychometrics. The volume will be of interest to senior undergraduate and graduate students of cognitive psychology, learning, cognition and instruction, and educational technology.

Contents:

Introduction

Part I Understanding deep comprehension: Prose comprehension beyond the page

Prose comprehension beyond the word revisited

A memory retrieval view of text comprehension

Standards of coherence in reading: variations in processing and comprehension of text

What do we think about when we learn?

Reusing neural networks for deep comprehension

What are we reading for? a disciplinary literacy perspective on purpose

Part II Using technology to increase deep comprehension: Learning tasks in electronic environments: advances towards interactive etextbooks

How can FACT encourage collaboration and self-correction?

Design principles for virtual humans in educational technology environments

AutoTutor: an intelligent tutoring system and its authoring tools

The unreasonable effectiveness of AutoTutor

Scaffolding adult learners' reading strategies in the intelligent tutoring system

Learning scientific inquiry from a serious game that uses AutoTutor

Part III Measuring deep comprehension: Using scenario-based assessments to measure deep learning

Eliciting deeper evidence through conversation-based assessments

NLP: getting computers to understand disclosure

Deep and shallow natural language understanding for identifying explanation structure

Deep comprehension of text revealed by talking and writing while reading

Big data for thick description of deep learning

Index.

Notes:

Includes bibliographical references and index.

ISBN:

113808901X

9781138089013

9781138089006

1138089001

OCLC:

1030912511