Deep comprehension: multi-disciplinary approaches to understanding, enhancing, and measuring comprehension
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 im...
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| Other Authors: | , , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
London ; New York
Routledge, Taylor & Francis Group
2019
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| Subjects: | |
| 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 |
| Physical Description: | xxi, 282 Seiten Illustrationen |
| ISBN: | 9781138089013 9781138089006 |
Staff View
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| 505 | 8 | |a 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 | |
| 520 | 3 | |a 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 | |
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| 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 |
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| spelling | Deep comprehension multi-disciplinary approaches to understanding, enhancing, and measuring comprehension edited by Keith Millis, Debra L. Long, Joseph P. Magliano, and Katja Wiemer London ; New York Routledge, Taylor & Francis Group 2019 xxi, 282 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier 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 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 Verstehen (DE-588)4063241-6 gnd rswk-swf Comprehension Comprehension / Testing Learning, Psychology of (DE-588)4143413-4 Aufsatzsammlung gnd-content Verstehen (DE-588)4063241-6 s DE-604 Millis, Keith edt Long, Debra L. edt Magliano, Joseph P. edt Wiemer, Katja edt Erscheint auch als Online-Ausgabe 978-1-315-10950-3 |
| spellingShingle | Deep comprehension multi-disciplinary approaches to understanding, enhancing, and measuring comprehension 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 Verstehen (DE-588)4063241-6 gnd |
| subject_GND | (DE-588)4063241-6 (DE-588)4143413-4 |
| title | Deep comprehension multi-disciplinary approaches to understanding, enhancing, and measuring comprehension |
| title_auth | Deep comprehension multi-disciplinary approaches to understanding, enhancing, and measuring comprehension |
| title_exact_search | Deep comprehension multi-disciplinary approaches to understanding, enhancing, and measuring comprehension |
| title_full | Deep comprehension multi-disciplinary approaches to understanding, enhancing, and measuring comprehension edited by Keith Millis, Debra L. Long, Joseph P. Magliano, and Katja Wiemer |
| title_fullStr | Deep comprehension multi-disciplinary approaches to understanding, enhancing, and measuring comprehension edited by Keith Millis, Debra L. Long, Joseph P. Magliano, and Katja Wiemer |
| title_full_unstemmed | Deep comprehension multi-disciplinary approaches to understanding, enhancing, and measuring comprehension edited by Keith Millis, Debra L. Long, Joseph P. Magliano, and Katja Wiemer |
| title_short | Deep comprehension |
| title_sort | deep comprehension multi disciplinary approaches to understanding enhancing and measuring comprehension |
| title_sub | multi-disciplinary approaches to understanding, enhancing, and measuring comprehension |
| topic | Verstehen (DE-588)4063241-6 gnd |
| topic_facet | Verstehen Aufsatzsammlung |
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