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Adaptive Implementation focuses on how practitioners and researchers together continue to improve their craft by systematically collecting data on adaptations, testing them out, and figuring out what works.
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Adaptive Implementation focuses on how practitioners and researchers together continue to improve their craft by systematically collecting data on adaptations, testing them out, and figuring out what works.
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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Rowman & Littlefield Publishers
- Seitenzahl: 112
- Erscheinungstermin: 28. Juli 2017
- Englisch
- Abmessung: 235mm x 157mm x 11mm
- Gewicht: 325g
- ISBN-13: 9781475833485
- ISBN-10: 1475833482
- Artikelnr.: 47881139
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: Rowman & Littlefield Publishers
- Seitenzahl: 112
- Erscheinungstermin: 28. Juli 2017
- Englisch
- Abmessung: 235mm x 157mm x 11mm
- Gewicht: 325g
- ISBN-13: 9781475833485
- ISBN-10: 1475833482
- Artikelnr.: 47881139
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
Ryoko Yamaguchi is a social scientist and former special education teacher with over 25 years of experience in K-12 education serving disadvantaged students as a practitioner, researcher, parent leader, and advocate. Dr. Yamaguchi has advised state and local education policy makers, school and teacher leaders, school board members, and community and parent leaders across the country on effective school practices to increase student learning and ameliorate achievement gaps. Laureen Avery leads the work of UCLA's Center X efforts in the Northeastern US, and has more than 30 years of experience in K-12 public education as a researcher and practitioner. Avery developed and leads whole school improvement programs focused on improving outcomes for English learners and at-risk students. Jason Cervone is the Northeast Region Project Director for UCLA Center X's Project ExcEL Leadership Academy. He has over a decade of experience in public education as a researcher, advisor, and evaluator, focusing on improving instruction for English Learners. Lisa DiMartino is a former Program Manager for UCLA Center X, Northeast Region, and is currently pursuing her doctoral degree at Lesley University. DiMartino has over fifteen years of experience working with educators, administrators, and community organizations to improve student achievement through professional development and program evaluation. Adam Hall is an education research and policy consultant. He has served the education community as an evaluator, technical assistance provider, and professional developer for over 20 years.
Preface Introduction Schools: A combination of technical and adaptive
systems What are your core goals? Are you Scaling Up? Or Scaling Down?
Adaptive Implementation (AI) Team Adaptive Implementation (AI) Cycle Step
1: What do we need to see? Step 2: What resources do we have? Step 3: What
will we do? Step 4: What did we do? Step 5: What did we learn? CASE STUDY:
PROJECT EXCEL The ExcEL model STEP 1: WHAT DO WE NEED TO SEE? How Ambitious
Should We Be? Identify Waypoints Create your roadmap Five Characteristics
of Strong Waypoints Project ExcEL Example STEP 2: WHAT RESOURCES DO WE
HAVE? Assess what you have Assess what you don't have Assess what you could
have Project ExcEL Example STEP 3: WHAT ARE WE GOING TO DO? Conduct Pro and
Con Assessment (PCA) Create a Design and Action Plan (DAP) The problem with
logic models Process for developing the DAP Identify the group of
activities using the PCA Determine the relationships and synergies of
activities Map out the activities Conduct a series of face validity
meetings with stakeholders Revise, revise, and revise again Project ExcEL
Example STEP 4: WHAT DID WE DO? Annotate your roadmap What to annotate and
document? Annotating is not evaluating Project ExcEL Example STEP 5: WHAT
DID WE LEARN? Will we do it again? When we do it again ... Scaling Up
Scaling down Learning through reflection Project ExcEL Example CONCLUSION
AND DISCUSSION To use or not to use? Who's at the table? A note to
evaluators - and funders Making the time The final word - momentum Appendix
Adaptive Implementation (AI) Tools: Templates for the AI Process Adaptive
Implementation (AI) Process Template Step 1: What do we want to see? Five
Characteristics of Strong Waypoints Checklist Step 2: What resources do we
have? AI Resource Management Tool Step 3: What will we do? Pro/ Con
Assessment (PCA) Template Step 3: What will we do? Design and Action Plan
(DAP) Template Step 4: What did we do? Data Review Sheet Step 5: What Did
We Learn? Discussion Protocol Tool REFERENCES ¿
systems What are your core goals? Are you Scaling Up? Or Scaling Down?
Adaptive Implementation (AI) Team Adaptive Implementation (AI) Cycle Step
1: What do we need to see? Step 2: What resources do we have? Step 3: What
will we do? Step 4: What did we do? Step 5: What did we learn? CASE STUDY:
PROJECT EXCEL The ExcEL model STEP 1: WHAT DO WE NEED TO SEE? How Ambitious
Should We Be? Identify Waypoints Create your roadmap Five Characteristics
of Strong Waypoints Project ExcEL Example STEP 2: WHAT RESOURCES DO WE
HAVE? Assess what you have Assess what you don't have Assess what you could
have Project ExcEL Example STEP 3: WHAT ARE WE GOING TO DO? Conduct Pro and
Con Assessment (PCA) Create a Design and Action Plan (DAP) The problem with
logic models Process for developing the DAP Identify the group of
activities using the PCA Determine the relationships and synergies of
activities Map out the activities Conduct a series of face validity
meetings with stakeholders Revise, revise, and revise again Project ExcEL
Example STEP 4: WHAT DID WE DO? Annotate your roadmap What to annotate and
document? Annotating is not evaluating Project ExcEL Example STEP 5: WHAT
DID WE LEARN? Will we do it again? When we do it again ... Scaling Up
Scaling down Learning through reflection Project ExcEL Example CONCLUSION
AND DISCUSSION To use or not to use? Who's at the table? A note to
evaluators - and funders Making the time The final word - momentum Appendix
Adaptive Implementation (AI) Tools: Templates for the AI Process Adaptive
Implementation (AI) Process Template Step 1: What do we want to see? Five
Characteristics of Strong Waypoints Checklist Step 2: What resources do we
have? AI Resource Management Tool Step 3: What will we do? Pro/ Con
Assessment (PCA) Template Step 3: What will we do? Design and Action Plan
(DAP) Template Step 4: What did we do? Data Review Sheet Step 5: What Did
We Learn? Discussion Protocol Tool REFERENCES ¿
Preface Introduction Schools: A combination of technical and adaptive
systems What are your core goals? Are you Scaling Up? Or Scaling Down?
Adaptive Implementation (AI) Team Adaptive Implementation (AI) Cycle Step
1: What do we need to see? Step 2: What resources do we have? Step 3: What
will we do? Step 4: What did we do? Step 5: What did we learn? CASE STUDY:
PROJECT EXCEL The ExcEL model STEP 1: WHAT DO WE NEED TO SEE? How Ambitious
Should We Be? Identify Waypoints Create your roadmap Five Characteristics
of Strong Waypoints Project ExcEL Example STEP 2: WHAT RESOURCES DO WE
HAVE? Assess what you have Assess what you don't have Assess what you could
have Project ExcEL Example STEP 3: WHAT ARE WE GOING TO DO? Conduct Pro and
Con Assessment (PCA) Create a Design and Action Plan (DAP) The problem with
logic models Process for developing the DAP Identify the group of
activities using the PCA Determine the relationships and synergies of
activities Map out the activities Conduct a series of face validity
meetings with stakeholders Revise, revise, and revise again Project ExcEL
Example STEP 4: WHAT DID WE DO? Annotate your roadmap What to annotate and
document? Annotating is not evaluating Project ExcEL Example STEP 5: WHAT
DID WE LEARN? Will we do it again? When we do it again ... Scaling Up
Scaling down Learning through reflection Project ExcEL Example CONCLUSION
AND DISCUSSION To use or not to use? Who's at the table? A note to
evaluators - and funders Making the time The final word - momentum Appendix
Adaptive Implementation (AI) Tools: Templates for the AI Process Adaptive
Implementation (AI) Process Template Step 1: What do we want to see? Five
Characteristics of Strong Waypoints Checklist Step 2: What resources do we
have? AI Resource Management Tool Step 3: What will we do? Pro/ Con
Assessment (PCA) Template Step 3: What will we do? Design and Action Plan
(DAP) Template Step 4: What did we do? Data Review Sheet Step 5: What Did
We Learn? Discussion Protocol Tool REFERENCES ¿
systems What are your core goals? Are you Scaling Up? Or Scaling Down?
Adaptive Implementation (AI) Team Adaptive Implementation (AI) Cycle Step
1: What do we need to see? Step 2: What resources do we have? Step 3: What
will we do? Step 4: What did we do? Step 5: What did we learn? CASE STUDY:
PROJECT EXCEL The ExcEL model STEP 1: WHAT DO WE NEED TO SEE? How Ambitious
Should We Be? Identify Waypoints Create your roadmap Five Characteristics
of Strong Waypoints Project ExcEL Example STEP 2: WHAT RESOURCES DO WE
HAVE? Assess what you have Assess what you don't have Assess what you could
have Project ExcEL Example STEP 3: WHAT ARE WE GOING TO DO? Conduct Pro and
Con Assessment (PCA) Create a Design and Action Plan (DAP) The problem with
logic models Process for developing the DAP Identify the group of
activities using the PCA Determine the relationships and synergies of
activities Map out the activities Conduct a series of face validity
meetings with stakeholders Revise, revise, and revise again Project ExcEL
Example STEP 4: WHAT DID WE DO? Annotate your roadmap What to annotate and
document? Annotating is not evaluating Project ExcEL Example STEP 5: WHAT
DID WE LEARN? Will we do it again? When we do it again ... Scaling Up
Scaling down Learning through reflection Project ExcEL Example CONCLUSION
AND DISCUSSION To use or not to use? Who's at the table? A note to
evaluators - and funders Making the time The final word - momentum Appendix
Adaptive Implementation (AI) Tools: Templates for the AI Process Adaptive
Implementation (AI) Process Template Step 1: What do we want to see? Five
Characteristics of Strong Waypoints Checklist Step 2: What resources do we
have? AI Resource Management Tool Step 3: What will we do? Pro/ Con
Assessment (PCA) Template Step 3: What will we do? Design and Action Plan
(DAP) Template Step 4: What did we do? Data Review Sheet Step 5: What Did
We Learn? Discussion Protocol Tool REFERENCES ¿