Author: Hong Jiao Publisher: IAP ISBN: 1648026281 Category : Education Languages : en Pages : 243
Book Description
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 software are included. Chapters 1, 4, 6, 8, and 9 discuss how to make valid interpretations of results and achieve more efficient instructions from various sources of data. Chapters 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.
Author: Leslie Grant Publisher: Routledge ISBN: 1317924401 Category : Education Languages : en Pages : 170
Book Description
This entry in the James H. Stronge Research-to-Practice Series focuses on specific strategies teachers can use to improve the quality of their instruction. Studies have shown teacher quality to be the top indicator of student achievement, with the effects of good teachers apparent even as students move on to successive grades. In this book, Grant, Hindman, and Stronge explore the relationship between teacher effectiveness and student learning. They provide a bridge between research-based theories and practical classroom applications. Templates, planning forms, and other reproducibles help teachers make a noticeable impact on student success using proven techniques and practices. Topics include tiered lessons, using assessment data, and much more.
Author: Kay Burke Publisher: Solution Tree Press ISBN: 1936765586 Category : Education Languages : en Pages : 184
Book Description
RTI and formative assessment have the potential to positively impact student achievement. Understand the basics of RTI and its connection to formative assessment, and base instructional decisions on the results of effective formative assessment practices. Learn how to adjust instruction to increase levels of student understanding and achievement with the information, tools, and techniques presented in this practical guide.
Author: Larry Ainsworth Publisher: Corwin Press ISBN: 1483388530 Category : Education Languages : en Pages : 347
Book Description
Upgrade your CFAs using CFA 2.0 Common Formative Assessments 2.0 presents a powerful, research-based process for improving teaching and student learning that is applicable to all standards, all grades, and all content areas. CFA 2.0 is so much more than assessment design. It shows teachers how they can intentionally align standards, instruction, assessment, and data analysis in every unit of study. The CFA 2.0 process is not limited to assessment design only. Rather, it is a system of intentionally aligned components (standards, instruction, assessments, and data analysis) that all work together to improve student learning. Even a timeless process needs to remain timely. This expanded, all-new edition of the definitive guide to common formative assessments features new field research and proven strategies that will enable educators to make more accurate inferences about student understanding so they can adjust instruction to improve student learning. Readers will learn to Build the "highway" to aligned assessments Use the CFA 2.0 design steps to upgrade their own assessments Decide the learning intentions and student success criteria for a unit of study Evaluate and revise assessment questions for quality Plan the learning progressions for students to attain the learning intentions Create quick progress checks to coincide with the learning progressions Use assessment results as feedback to adjust instruction and student learning strategies Gain new knowledge and skills for creating, revising, and improving grade- and course-level common formative assessments Author Larry Ainsworth provides busy educators and leaders with a practical, how-to guide filled with information, examples, and action steps to assist all K–12 grade- and course-level teams in making this completely re-envisioned process their own.
Author: Susan M. Butler Publisher: John Wiley and Sons ISBN: 1118113330 Category : Education Languages : en Pages : 291
Book Description
A Teacher’s Guide to Classroom Assessment is a comprehensive guide that shows step-by-step how to effectively integrate assessment into the classroom. Written for both new and seasoned teachers, this important book offers a practical aid for developing assessment skills and strategies, building assessment literacy, and ultimately improving student learning. Based on extensive research, this book is filled with illustrative, down-to-earth examples of how classroom assessment works in classrooms where assessment drives the instruction. The authors present the Classroom Assessment Cycle—Clarifying learning targets, Collecting assessment evidence, Analyzing assessment data, and Modifying instruction based upon assessment data—that demonstrates how one assessment action must flow into the next to be effective. Each chapter details the kinds of assessment evidence that are the most useful for determining student achievement and provides instruction in the analysis of assessment data.
Author: Elizabeth Hammerman Publisher: Corwin Press ISBN: 141296296X Category : Education Languages : en Pages : 145
Book Description
"Proven to be one of the most powerful tools for promoting effective learning, formative assessment enables teachers to capture evidence of student thinking and learning and use that information to adjust instruction. In this concise resource, science educator Elizabeth Hammerman clearly outlines the formative assessment process and provides practical strategies for embedding assessments into the Kئ8 standards-based science curriculum. This research-based book demonstrates how student-centered assessment helps students assume more responsibility for what they learn and how they learn. Teachers can use the various models of formative assessments to monitor student progress and evaluate learning. The author guides readers through discussions, "thought and reflection" activities, analyses of assessment techniques, and applications to classroom practice. Ideal for teachers and science and curriculum specialists, this user-friendly resource provides all the necessary tools to: assess student understanding using observation checklists, questioning strategies, notebooks, reports, graphic organizers, projects, and performance tasks; differentiate science instruction to reach all learners; use rubrics as a means of discovering student strengths and weaknesses; collect student data to inform instructional decisions. With this easy-to-implement guide, any teacher can effectively use formative assessment strategies to enhance instruction and increase student achievement in science."--Publisher's website.
Author: Susan M. Brookhart Publisher: ASCD ISBN: 1416621032 Category : Education Languages : en Pages : 146
Book Description
In How to Make Decisions with Different Kinds of Student Assessment Data, best-selling author Susan M. Brookhart helps teachers and administrators understand the critical elements and nuances of assessment data and how that information can best be used to inform improvement efforts in the school or district. Readers will learn— * What different kinds of data can—and cannot—tell us about student learning; * What different analyses reveal about changes in student achievement; * How to interpret, use, and share relevant data; and * How to create a model to go from problem to solution in a data-based decision-making process. With easy-to-understand explanations, supplemented by examples and scenarios from actual schools, this book offers a path to better understanding, more accurate interpretation of assessment results, and—most important—more effective use of data to improve teaching and learning.
Author: Cheryl James-Ward Publisher: ASCD ISBN: 141661558X Category : Education Languages : en Pages : 145
Book Description
Data. Does the word make you cringe? Does it evoke feelings of guilt? Are you unsure how to distill it and use it effectively? Grab this book and learn how to empower yourself and your school community with information gleaned from your school's data. Experienced educators and authors offer simple instructions that can help focus school improvement efforts and result in increasing teacher expertise—a factor that positively affects the quality of life for students long after they have left the classroom. Accepting responsibility for such far-reaching influence requires educators to adopt instructional improvement as a standard by which a school needs to operate and as a means to collaborate and interact with one another. More than that, though, instructional improvement is an important component of successful schools.
Author: Trudy W. Banta Publisher: John Wiley & Sons ISBN: 9781118037546 Category : Education Languages : en Pages : 352
Book Description
Fifteen years ago Trudy Banta and her colleagues surveyed the national landscape for the campus examples that were published in the classic work Assessment in Practice. Since then, significant advances have occurred, including the use of technology to organize and manage the assessment process and increased reliance on assessment findings to make key decisions aimed at enhancing student learning. Trudy Banta, Elizabeth Jones, and Karen Black offer 49 detailed current examples of good practice in planning, implementing, and sustaining assessment that are practical and ready to apply in new settings. This important resource can help educators put in place an effective process for determining what works and which improvements will have the most impact in improving curriculum, methods of instruction, and student services on college and university campuses.
Author: Hong Jiao Publisher: IAP ISBN: Category : Computers Languages : en Pages : 242
Book Description
With the exponential increase of digital assessment, different types of data in addition to item responses become available in the measurement process. One of the salient features in digital assessment is that process data can be easily collected. This non-conventional structured or unstructured data source may bring new perspectives to better understand the assessment products or accuracy and the process how an item product was attained. The analysis of the conventional and non-conventional assessment data calls for more methodology other than the latent trait modeling. Natural language processing (NLP) methods and machine learning algorithms have been successfully applied in automated scoring. It has been explored in providing diagnostic feedback to test-takers in writing assessment. Recently, machine learning algorithms have been explored for cheating detection and cognitive diagnosis. When the measurement field promote the use of assessment data to provide feedback to improve teaching and learning, it is the right time to explore new methodology and explore the value added from other data sources. This book presents the use cases of machine learning and NLP in improving the assessment theory and practices in high-stakes summative assessment, learning, and instruction. More specifically, experts from the field addressed the topics related to automated item generations, automated scoring, automated feedback in writing, explainability of automated scoring, equating, cheating and alarming response detection, adaptive testing, and applications in science assessment. This book demonstrates the utility of machine learning and NLP in assessment design and psychometric analysis.
Author: Hong Jiao
Author: Leslie Grant
Author: Kay Burke
Author: Larry Ainsworth
Author: Susan M. Butler
Author: Elizabeth Hammerman
Author: Susan M. Brookhart
Author: Cheryl James-Ward
Author: Trudy W. Banta
Author: Hong Jiao