Enhancing effective instruction and learning using assessment data /:
"This book introduces theories and practices for using assessment data to enhance learning and instruction. Topics include reshaping the homework review process, iterative learning engineering, learning progressions, learning maps, score report designing, the use of psychosocial data, and the c...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Charlotte, North Carolina :
Information Age Publishing, Inc.,
[2022]
|
| Schriftenreihe: | MARCES book series.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "This book introduces theories and practices for using assessment data to enhance learning and instruction. Topics include reshaping the homework review process, iterative learning engineering, learning progressions, learning maps, score report designing, the use of psychosocial data, and the combination of adaptive testing and adaptive learning. In addition, studies proposing new methods and strategies, technical details about the collection and maintenance of process data, and examples illustrating proposed methods and/or software are included. Chapter 1, 4, 6, 8, and 9 discuss how to make valid interpretations of results and/or achieve more efficient instructions from various sources of data. Chapter 3 and 7 propose and evaluate new methods to promote students' learning by using evidence-based iterative learning engineering and supporting the teachers' use of assessment data, respectively. Chapter 2 provides technical details on the collection, storage, and security protection of process data. Chapter 5 introduces software for automating some aspects of developmental education and the use of predictive modeling. Chapter 10 describes the barriers to using psychosocial data for formative assessment purposes. Chapter 11 describes a conceptual framework for adaptive learning and testing and gives an example of a functional learning and assessment system. In summary, the book includes comprehensive perspectives of the recent development and challenges of using test data for formative assessment purposes. The chapters provide innovative theoretical frameworks, new perspectives on the use of data with technology, and how to build new methods based on existing theories. This book is a useful resource to researchers who are interested in using data and technology to inform decision making, facilitate instructional utility, and achieve better learning outcomes"-- |
| Beschreibung: | 1 online resource (vi, 235 pages) : illustrations (some color). |
| Bibliographie: | Includes bibliographical references. |
| ISBN: | 9781648026287 1648026281 |
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| 505 | 0 | |a Technology enhanced formative assessment increases the efficacy of the homework review process / Kim Kelly -- Collection of process data in Web-based assessment systems and its applications to validating noncognitive constructs / Alex Brodersen, Matthew F. Carter, Cheng Liu, and Ying Cheng -- Iterative online course engineering using reinforcement learning with students' performance profile / Machi Shimmei -- The promise of learning progressions-based classroom assessments to improve instruction / Leanne R. Ketterlin-Geller and Robyn Pinilla -- The use of predictive modeling for assessing college readiness / Jason M. Bryer, Diana Akhmedjanova, Heidi L. Andrade, and Angela M. Lui -- Designing score reports to maximize validity and instructional utility / Karen Barton and Audra Kosh -- The effects of a formative assessment intervention on teacher and student understanding of basic mathematical principles / Julia Phelan, Kilchan Choi, Terry Vendlinski, Eva Baker, and Joan Herman -- On determining the efficacy of using learning maps as an organizing structure for formative assessment : some lessons learned / Neal M. Kingston, Jessica Hess, Dale Cope, and Russell Swinburne Romine -- A balanced approach to using assessment information to improve teaching and learning / Charles A. DePascale -- Not all that counts is safe for counting : barriers to collecting learning data for assessment purposes / Jacqueline P. Leighton -- Leveraging ideas from adaptive testing to adaptive learning : the HERA showcase / Meirav Arieli-Attali, Sue J. Ward, Vanessa Simmering, Yigal Rosen, Alina A. von Davier. | |
| 520 | |a "This book introduces theories and practices for using assessment data to enhance learning and instruction. Topics include reshaping the homework review process, iterative learning engineering, learning progressions, learning maps, score report designing, the use of psychosocial data, and the combination of adaptive testing and adaptive learning. In addition, studies proposing new methods and strategies, technical details about the collection and maintenance of process data, and examples illustrating proposed methods and/or software are included. Chapter 1, 4, 6, 8, and 9 discuss how to make valid interpretations of results and/or achieve more efficient instructions from various sources of data. Chapter 3 and 7 propose and evaluate new methods to promote students' learning by using evidence-based iterative learning engineering and supporting the teachers' use of assessment data, respectively. Chapter 2 provides technical details on the collection, storage, and security protection of process data. Chapter 5 introduces software for automating some aspects of developmental education and the use of predictive modeling. Chapter 10 describes the barriers to using psychosocial data for formative assessment purposes. Chapter 11 describes a conceptual framework for adaptive learning and testing and gives an example of a functional learning and assessment system. In summary, the book includes comprehensive perspectives of the recent development and challenges of using test data for formative assessment purposes. The chapters provide innovative theoretical frameworks, new perspectives on the use of data with technology, and how to build new methods based on existing theories. This book is a useful resource to researchers who are interested in using data and technology to inform decision making, facilitate instructional utility, and achieve better learning outcomes"-- |c Provided by publisher. | ||
| 588 | |a Description based on online resource; title from digital title page (viewed on June 17, 2022). | ||
| 650 | 0 | |a Educational evaluation |x Data processing. | |
| 650 | 0 | |a Educational indicators. |0 http://id.loc.gov/authorities/subjects/sh90005315 | |
| 650 | 0 | |a Effective teaching. |0 http://id.loc.gov/authorities/subjects/sh95003618 | |
| 650 | 6 | |a Évaluation en éducation |x Informatique. | |
| 650 | 6 | |a Indicateurs éducationnels. | |
| 650 | 6 | |a Enseignement efficace. | |
| 650 | 7 | |a Educational evaluation |x Data processing |2 fast | |
| 650 | 7 | |a Educational indicators |2 fast | |
| 650 | 7 | |a Effective teaching |2 fast | |
| 700 | 1 | |a Jiao, Hong, |d 1968- |e editor. |0 http://id.loc.gov/authorities/names/n2015000476 | |
| 700 | 1 | |a Lissitz, Robert W., |e editor. |0 http://id.loc.gov/authorities/names/n2001103424 | |
| 758 | |i has work: |a Enhancing effective instruction and learning using assessment data (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFKbvrtVryxWRDWkdcKgXd |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |t Enhancing effective instruction and learning using assessment data |d Charlotte, North Carolina : Information Age Publishing, Inc., 2021 |z 9781648026270 |w (DLC) 2021034454 |
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| contents | Technology enhanced formative assessment increases the efficacy of the homework review process / Kim Kelly -- Collection of process data in Web-based assessment systems and its applications to validating noncognitive constructs / Alex Brodersen, Matthew F. Carter, Cheng Liu, and Ying Cheng -- Iterative online course engineering using reinforcement learning with students' performance profile / Machi Shimmei -- The promise of learning progressions-based classroom assessments to improve instruction / Leanne R. Ketterlin-Geller and Robyn Pinilla -- The use of predictive modeling for assessing college readiness / Jason M. Bryer, Diana Akhmedjanova, Heidi L. Andrade, and Angela M. Lui -- Designing score reports to maximize validity and instructional utility / Karen Barton and Audra Kosh -- The effects of a formative assessment intervention on teacher and student understanding of basic mathematical principles / Julia Phelan, Kilchan Choi, Terry Vendlinski, Eva Baker, and Joan Herman -- On determining the efficacy of using learning maps as an organizing structure for formative assessment : some lessons learned / Neal M. Kingston, Jessica Hess, Dale Cope, and Russell Swinburne Romine -- A balanced approach to using assessment information to improve teaching and learning / Charles A. DePascale -- Not all that counts is safe for counting : barriers to collecting learning data for assessment purposes / Jacqueline P. Leighton -- Leveraging ideas from adaptive testing to adaptive learning : the HERA showcase / Meirav Arieli-Attali, Sue J. Ward, Vanessa Simmering, Yigal Rosen, Alina A. von Davier. |
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| id | ZDB-4-EBA-on1263246793 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:30:21Z |
| institution | BVB |
| isbn | 9781648026287 1648026281 |
| language | English |
| lccn | 2021034455 |
| oclc_num | 1263246793 |
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| physical | 1 online resource (vi, 235 pages) : illustrations (some color). |
| psigel | ZDB-4-EBA |
| publishDate | 2022 |
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| publishDateSort | 2022 |
| publisher | Information Age Publishing, Inc., |
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| series | MARCES book series. |
| series2 | The MARCES book series |
| spelling | Enhancing effective instruction and learning using assessment data / edited by Hong Jiao and Robert W. Lissitz. Charlotte, North Carolina : Information Age Publishing, Inc., [2022] 1 online resource (vi, 235 pages) : illustrations (some color). text txt rdacontent computer c rdamedia online resource cr rdacarrier The MARCES book series Includes bibliographical references. Technology enhanced formative assessment increases the efficacy of the homework review process / Kim Kelly -- Collection of process data in Web-based assessment systems and its applications to validating noncognitive constructs / Alex Brodersen, Matthew F. Carter, Cheng Liu, and Ying Cheng -- Iterative online course engineering using reinforcement learning with students' performance profile / Machi Shimmei -- The promise of learning progressions-based classroom assessments to improve instruction / Leanne R. Ketterlin-Geller and Robyn Pinilla -- The use of predictive modeling for assessing college readiness / Jason M. Bryer, Diana Akhmedjanova, Heidi L. Andrade, and Angela M. Lui -- Designing score reports to maximize validity and instructional utility / Karen Barton and Audra Kosh -- The effects of a formative assessment intervention on teacher and student understanding of basic mathematical principles / Julia Phelan, Kilchan Choi, Terry Vendlinski, Eva Baker, and Joan Herman -- On determining the efficacy of using learning maps as an organizing structure for formative assessment : some lessons learned / Neal M. Kingston, Jessica Hess, Dale Cope, and Russell Swinburne Romine -- A balanced approach to using assessment information to improve teaching and learning / Charles A. DePascale -- Not all that counts is safe for counting : barriers to collecting learning data for assessment purposes / Jacqueline P. Leighton -- Leveraging ideas from adaptive testing to adaptive learning : the HERA showcase / Meirav Arieli-Attali, Sue J. Ward, Vanessa Simmering, Yigal Rosen, Alina A. von Davier. "This book introduces theories and practices for using assessment data to enhance learning and instruction. Topics include reshaping the homework review process, iterative learning engineering, learning progressions, learning maps, score report designing, the use of psychosocial data, and the combination of adaptive testing and adaptive learning. In addition, studies proposing new methods and strategies, technical details about the collection and maintenance of process data, and examples illustrating proposed methods and/or software are included. Chapter 1, 4, 6, 8, and 9 discuss how to make valid interpretations of results and/or achieve more efficient instructions from various sources of data. Chapter 3 and 7 propose and evaluate new methods to promote students' learning by using evidence-based iterative learning engineering and supporting the teachers' use of assessment data, respectively. Chapter 2 provides technical details on the collection, storage, and security protection of process data. Chapter 5 introduces software for automating some aspects of developmental education and the use of predictive modeling. Chapter 10 describes the barriers to using psychosocial data for formative assessment purposes. Chapter 11 describes a conceptual framework for adaptive learning and testing and gives an example of a functional learning and assessment system. In summary, the book includes comprehensive perspectives of the recent development and challenges of using test data for formative assessment purposes. The chapters provide innovative theoretical frameworks, new perspectives on the use of data with technology, and how to build new methods based on existing theories. This book is a useful resource to researchers who are interested in using data and technology to inform decision making, facilitate instructional utility, and achieve better learning outcomes"-- Provided by publisher. Description based on online resource; title from digital title page (viewed on June 17, 2022). Educational evaluation Data processing. Educational indicators. http://id.loc.gov/authorities/subjects/sh90005315 Effective teaching. http://id.loc.gov/authorities/subjects/sh95003618 Évaluation en éducation Informatique. Indicateurs éducationnels. Enseignement efficace. Educational evaluation Data processing fast Educational indicators fast Effective teaching fast Jiao, Hong, 1968- editor. http://id.loc.gov/authorities/names/n2015000476 Lissitz, Robert W., editor. http://id.loc.gov/authorities/names/n2001103424 has work: Enhancing effective instruction and learning using assessment data (Text) https://id.oclc.org/worldcat/entity/E39PCFKbvrtVryxWRDWkdcKgXd https://id.oclc.org/worldcat/ontology/hasWork Print version: Enhancing effective instruction and learning using assessment data Charlotte, North Carolina : Information Age Publishing, Inc., 2021 9781648026270 (DLC) 2021034454 MARCES book series. http://id.loc.gov/authorities/names/no2013031137 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=3038113 Volltext |
| spellingShingle | Enhancing effective instruction and learning using assessment data / MARCES book series. Technology enhanced formative assessment increases the efficacy of the homework review process / Kim Kelly -- Collection of process data in Web-based assessment systems and its applications to validating noncognitive constructs / Alex Brodersen, Matthew F. Carter, Cheng Liu, and Ying Cheng -- Iterative online course engineering using reinforcement learning with students' performance profile / Machi Shimmei -- The promise of learning progressions-based classroom assessments to improve instruction / Leanne R. Ketterlin-Geller and Robyn Pinilla -- The use of predictive modeling for assessing college readiness / Jason M. Bryer, Diana Akhmedjanova, Heidi L. Andrade, and Angela M. Lui -- Designing score reports to maximize validity and instructional utility / Karen Barton and Audra Kosh -- The effects of a formative assessment intervention on teacher and student understanding of basic mathematical principles / Julia Phelan, Kilchan Choi, Terry Vendlinski, Eva Baker, and Joan Herman -- On determining the efficacy of using learning maps as an organizing structure for formative assessment : some lessons learned / Neal M. Kingston, Jessica Hess, Dale Cope, and Russell Swinburne Romine -- A balanced approach to using assessment information to improve teaching and learning / Charles A. DePascale -- Not all that counts is safe for counting : barriers to collecting learning data for assessment purposes / Jacqueline P. Leighton -- Leveraging ideas from adaptive testing to adaptive learning : the HERA showcase / Meirav Arieli-Attali, Sue J. Ward, Vanessa Simmering, Yigal Rosen, Alina A. von Davier. Educational evaluation Data processing. Educational indicators. http://id.loc.gov/authorities/subjects/sh90005315 Effective teaching. http://id.loc.gov/authorities/subjects/sh95003618 Évaluation en éducation Informatique. Indicateurs éducationnels. Enseignement efficace. Educational evaluation Data processing fast Educational indicators fast Effective teaching fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh90005315 http://id.loc.gov/authorities/subjects/sh95003618 |
| title | Enhancing effective instruction and learning using assessment data / |
| title_auth | Enhancing effective instruction and learning using assessment data / |
| title_exact_search | Enhancing effective instruction and learning using assessment data / |
| title_full | Enhancing effective instruction and learning using assessment data / edited by Hong Jiao and Robert W. Lissitz. |
| title_fullStr | Enhancing effective instruction and learning using assessment data / edited by Hong Jiao and Robert W. Lissitz. |
| title_full_unstemmed | Enhancing effective instruction and learning using assessment data / edited by Hong Jiao and Robert W. Lissitz. |
| title_short | Enhancing effective instruction and learning using assessment data / |
| title_sort | enhancing effective instruction and learning using assessment data |
| topic | Educational evaluation Data processing. Educational indicators. http://id.loc.gov/authorities/subjects/sh90005315 Effective teaching. http://id.loc.gov/authorities/subjects/sh95003618 Évaluation en éducation Informatique. Indicateurs éducationnels. Enseignement efficace. Educational evaluation Data processing fast Educational indicators fast Effective teaching fast |
| topic_facet | Educational evaluation Data processing. Educational indicators. Effective teaching. Évaluation en éducation Informatique. Indicateurs éducationnels. Enseignement efficace. Educational evaluation Data processing Educational indicators Effective teaching |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=3038113 |
| work_keys_str_mv | AT jiaohong enhancingeffectiveinstructionandlearningusingassessmentdata AT lissitzrobertw enhancingeffectiveinstructionandlearningusingassessmentdata |