Index

  • Page numbers followed by f and t refer to figures and tables, respectively.
  • A
  • Academic domain, 29–30
  • Achievement gap, 5
  • Action, providing multiple means of, 43, 68t
  • Action plan reviews, 167t
  • Action plan template, 166t
  • Action steps (in logic models), 157, 159t, 160, 161t–163t, 163
  • Activities (as step in logic models), 153
  • Adaptive challenges, 2–3, 4t
  • “The Adaptive Challenges of Curriculum Implementation” (Pak), 3
  • Advisory groups, MTSS, 62, 63t, 64, 73
  • Alignment, vision, 119t
  • Alliance for Resource Equity, 101–102
  • American Institutes for Research (AIR), 103
  • Annual goals, sample, 150t
  • Articulation of problems, 15
  • Assessment maps, 107–109, 108t, 110t, 161t
  • Assessments, 49t, 137t. See also Self‐assessment(s)
  • Assets mapping, 87, 89–91
  • Attendance rates, 98
  • Audits, external, 83t
  • Awareness stage (Concerns‐Based Adoption Model), 8t, 9
  • B
  • Barriers, 2–3
  • Behavioral domain, 31
  • Beliefs, 46
  • Belonging, sense of, 121t
  • Benchmarks, interim, 151t
  • Brainstorming, 75, 80t
  • Budgets and funding, 83t, 102, 128t, 161t, 164t
  • Buy‐in, getting, 60–61
  • C
  • California Department of Education, 28
  • CASEL, 35–36
  • CAST, 43, 67
  • Challenges, 2–3
  • Change. See also Complex change
    • resistance to, 9
    • systems‐level, 61–62
  • Choudhury, S., 44t
  • Classroom observation:
    • data, 98
    • protocols, 83t
    • self‐assessment of, 127t
  • Climate survey data, 100
  • Coaching, 50, 183t
  • Coherence, 119t
  • Collaboration stage (Concerns‐Based Adoption Model), 8t
  • Collaborative inquiry, 183t
  • Collaborative planning, 127t
  • Collective bargaining teams, 70
  • Common planning time, 88t
  • Community partnerships, 125t
  • Competency, and fidelity, 173, 173t–175t
  • Competency drivers (in Concerns‐Based Adoption Model), 11–12
  • Complex change, 5–19
    • and concerns‐based adoption, 7–10
    • and implementation science, 10–15
    • and improvement science, 15–19
    • and unfreeze–change–freeze model, 5–7
  • Concerns‐Based Adoption Model, 7–11, 8f, 8t
  • Confidentiality‐related norms, 66t
  • Consequence stage (Concerns‐Based Adoption Model), 8t, 10
  • Consistency, and fidelity, 173, 173t–175t
  • Context, of fidelity, 173, 173t–175t
  • Continuous improvement cycles, 128t–129t, 132t, 147t
  • Control:
  • Core documents, 82, 83t–84t
  • Core leadership teams, 62, 63t, 65t, 69
  • Corrections, midcourse, 129t
  • Co‐teaching, 183t
  • Council of Great City Schools, 22
  • Course data, 98
  • Creativity, demonstration of, 52, 71t–72t
  • Criticality, in deeper learning, 54
  • Cultural diversity, 48t
  • Culturally Relevant Pedagogy, 52–53
  • Culturally sustaining pedagogy, 71t
  • Current initiatives, review of, 79–80, 80t–81t, 84–87
  • Current schedules, review of, 88t
  • Curriculum, root‐cause analysis of, 137t
  • Curriculum‐related documents, 83t
  • D
  • Data:
    • categories of, 96–97, 97f
    • need for, 96
  • Data analysis, 95–112
    • creating assessment maps for, 107–109, 108t, 110t
    • and creating data decision flowcharts, 109, 111f
    • and creating data systems, 109–111
    • and equity reviews, 100–106
    • importance of, 96–97
    • instructional data, 98, 99
    • outcomes data, 97–99
    • perspectives data, 99–100
    • setting a positive culture for, 106–107
    • systems data, 100
  • Data‐based decision making, 121t, 170, 174t
  • Data decision flowcharts, 109, 111f
  • Data sources, identifying, 89
  • Data systems, 16, 109–111, 132t
  • Data trees, 109, 111f
  • Data Wise Improvement Process, 110
  • Decision‐making norms, 66t
  • Decisions, data‐based, 121t, 170, 174t
  • Deeper learning, 51–56
    • creativity demonstrated in, 52
    • identity demonstrated in, 52
    • incorporating, into MTSS, 52–53
    • mastery demonstrated in, 51
    • tasks in, 53–56
  • “Deeper Learning Networks: Taking Student‐Centered Learning and Equity to Scale” (Learning Policy Institute), 54
  • Deeper Learning Tasks, 53–56
  • Delehant, A., 66
  • Differentiated instruction (DI), 44, 44t, 45
  • Disciplined inquiry, 16
  • Discipline rates, 98
  • Dismissal rates, 98
  • Distributive leadership, 129t
  • District Improvement Plan, 83t
  • Document review, 82, 83t–84t, 85–87, 88t
  • Dossett, W. A., 7
  • “Dream Team,” 59–60
  • Drop‐out rates, 98
  • E
  • EdReports, 2
  • Education Law Clinic (Harvard Law School), 102
  • Educator education systems, 84t
  • Effective instruction, and vision, 70, 71t–72t
  • ELA assessment map, sample, 110t
  • Engagement:
    • building, 60–61
    • providing multiple means of, 42, 68t
    • self‐assessments of, 121t
  • English learners (ELs), 103, 129t
  • Enrollment rates, 98
  • Equitable practices, 120t, 131t, 147t
  • Equitable resources, 88t
  • Equity by Design: The Power and Promise of UDL (Chardin and Novak), 51
  • Equity reviews, 100–106
    • definition of, 101
    • scope of, 101–102
    • self‐assessments, 129t
    • transforming, into action, 104–105
  • Evaluation data, 98
  • Evaluation systems, 127t
  • Every Student Succeeds Act (ESSA), 10–11, 22, 27, 178
  • Evidence‐based analysis, 110
  • Evidence‐based strategies, 10–11, 22, 71t
  • Executive function, 48t
  • Exit interviews, with teachers, 100
  • Expectations‐related norms, 66t, 120t
  • Exploration stage (in deeper learning model), 13
  • Expression, providing multiple means of, 43, 68t
  • External audits, 83t
  • F
  • “Facts,” unfreezing, 5–6
  • Family engagement, 103
  • Farmer, J., 67
  • Federal education law, xvii
  • Feedback, mastery‐oriented, 47–48, 48t
  • Feedback loops, 17–18, 121t, 127t, 176, 178–180, 178f
  • Fidelity (in system implementation), 170–173, 175–176, 177t
    • categories of, 172t–175t
    • definition of, 172t
  • Finney, S. J., 171
  • Flowcharts, data decision, 109, 111f
  • Foundational planning (as step in logic models), 153, 157, 158t
  • Foundational resources, 132t, 165t
  • Fulcher, K. H., 171
  • Full implementation stage (in deeper learning model), 14
  • G
  • Global Education Monitoring (GEM) report, 38–39
  • Goals, sample, 149t–150t
  • Grade level data teams, 69
  • Graduation rates, 98
  • Growth mindset, 48t
  • H
  • Haifetz, R. A., 4t
  • Hall, G. E., 7
  • Hanover Research, 85
  • Harlacher, J. E., 22
  • Hartmann, Liz, 42
  • Harvard Law School, 102
  • Harvard University, 42, 110
  • Hauk, S., 67
  • Healthy culture, developing a, 65
  • Higher Education Opportunity Act, 40
  • High leverage, 139
  • High‐Quality Instructional Materials (HQIM), 72t, 119t, 141t, 155t, 161t, 162t
  • Hiring policies and procedures, 130t
  • Hirsch, S., 66
  • I
  • Identification step (root‐cause analysis), 136, 137
  • Identity, demonstration of, 52, 71t–72t
  • IEPs, 9, 83t, 91, 120t, 123t, 162t, 163t
  • “If…then” statements, 18
  • Impacts (as step in logic models), 153, 157, 159t
  • Implementation drivers (in Concerns‐Based Adoption Model), 12
  • Implementation science, 10–15
    • and deeper learning model, 12–14, 13f
    • phases of, 15f
    • and tiered framework of deeper learning crosswalk, 14t
  • Implementing systems, see System implementation
  • Improvement science, 15–19
  • Inclusive practices, 35–57
    • and deeper learning, 51–56
    • and “opportunity myth,” 37–39
    • and Universal Design for Learning, 39–51
  • Inclusive resources, 88t
  • Individuals with Disabilities Education Act (2004), 27
  • Inequities, addressing, 79
  • Information stage (Concerns‐Based Adoption Model), 8t
  • Initial implementation stage (in deeper learning model), 13–14
  • Initiatives, sample, 149t
  • Inputs (as step in logic models), 153, 157, 158t
  • In Search of Deeper Learning: The Quest to Remake the American High School (Mehta and Fine), 52
  • Installation stage (in deeper learning model), 13
  • Institute of Educational Sciences, 17
  • Instructional coaching, 50
  • Instructional data, 98, 99
  • Instructional design, 13f
  • Instructional groupings, 41–42
  • Instructional Leadership Teams (ILTs), 69
  • Instructional materials, 98, 99
  • Instructional rounds, 98
  • Instructional vision, self‐assessment of, 117, 118t, 131t
  • Integrity, 170
  • Interim benchmarks, 151t
  • Interpersonal variability, 41
  • Interventions:
  • Intrapersonal variability, 41
  • K
  • Key participants, 18
  • Keys to Successful Meetings (Hirsh et al.), 66
  • Knowledge, demonstrating, 52
  • Kozleski, E., 38
  • L
  • Ladson‐Billings, Gloria, 52–53
  • Leaders:
    • commitment of, to strategic plan, 147t
    • in Concerns‐Based Adoption Model, 11
  • Leadership:
    • commitment of, 128t
    • distributive, 129t
  • Leadership drivers (in Concerns‐Based Adoption Model), 11
  • Learning environment, self‐assessment of, 131t
  • Learning for Justice, 101
  • “Learning how to learn,” 51
  • Learning Policy Institute, 51, 54
  • Learning styles, 40–41
  • Learning to Improve: How America's Schools Can Get Better at Getting Better (Bryk et al.), 15–16
  • Learning walks, 98
  • Leverage, in root‐cause analysis, 139–140, 140f
  • Lewin, Kurt, 5
  • Linguistically supportive practices, 72t
  • Listening‐related norms, 66t
  • The Logic Development Guide (W.K. Kellogg Foundation), 153
  • Logic models, 153, 154, 154f, 156–157
  • Low leverage, 139
  • M
  • Mace, Ronald, 39–40
  • Management stage (Concerns‐Based Adoption Model), 8t, 9
  • Mandated initiatives, 81t
  • Mason, Erica, 171
  • Massachusetts, 33, 73, 180–182
  • Massachusetts Advocates for Children, 102–103
  • Massachusetts Department of Education, 114
  • Massachusetts Department of Elementary and Secondary Education, 12, 24, 54
  • Mastery, demonstration of, 51, 71t–72t
  • Mastery‐oriented feedback, 47–48, 48t
  • Measuring data, 16
  • Meetings, team, 64
  • Mid‐Atlantic Equity Consortium (MAEC), 101
  • Midcourse corrections, 129t, 148t
  • Mindsets, 6–7
  • Minnesota Department of Education, 62
  • “Mix and Mingle” activity, 35–37
  • MTSS, see Multi‐tiered systems of support
  • “MTSS for All: Including Students with the Most Significant Cognitive Disabilities” (report), 25
  • MTSS systems, see Multi‐tiered systems of support (MTSS)
  • Multilingual learners (MLL), 123t
  • Multi‐tiered systems, xvii
  • Multi‐tiered systems of support (MTSS), 5, 21–34
    • “baking a cake” analogy for, 24
    • beneficiaries of, 24
    • deeper learning model for, 12–13, 13f
    • and design of systems/structures, 31–33
    • domains of, 29–31
    • instructional design as driver of, 29, 30t
    • key tenets of, 22–23
    • questions to share when building, 23
    • and systems‐level change, 79
    • tiers of support in, 24–27
    • vision as driver of, 29
  • Multiyear planning, 129t, 148t
  • “The Myth of Learning Styles” (Khazan), 40–41
  • N
  • National Center for Learning Disabilities (NCLD), 45
  • National Center on Educational Outcomes (NCEO), 25
  • National Center on Time and Learning, 86–87
  • National Equity Project, 101
  • National Implementation Research Network (NIRN), 11, 17
  • National School Board Association (NSBA), 104
  • Needs assessment, 77–93
    • and assets mapping, 87, 89–91
    • reviewing current initiatives, 79–80, 80t–81t, 84–87
    • reviewing documents, 82, 83t–84t, 88t
    • reviewing of documents, 85–87
    • systems inventory for, 91, 92t–93t
  • Negative culture, 3
  • Neumann, A. M., 67
  • Newton's Third Law of Motion, 96
  • Nonprivileged populations, 5
  • Norms, team, 64–68, 66t, 68t
  • Novak Education Consulting, 50
  • O
  • Objective statement, sample, 149t
  • “One‐size‐fits‐all” curricula, 24–25
  • Opportunity gaps, 5
  • “The Opportunity Myth” (TNTP), 37–39
  • Organizational symmetry, 75
  • Outcomes (as step in logic models), 153, 157, 159t
  • Outcomes data, 97–99
  • Outputs (as step in logic models), 153, 159t
  • P
  • Pak, K., 3
  • Parent councils and organizations, 70
  • Paris, Django, 53
  • Participants, key, 18
  • Participation‐related norms, 66t
  • Pass/fail rates, 98
  • PDSA cycle, 18–19
  • Pedagogy:
    • root‐cause analysis of, 137t
    • and school design, 55
  • Performance, variations in, 18
  • Perseverance, 51
  • Personal stage (Concerns‐Based Adoption Model), 8t
  • Perspectives data, 99–100
  • Pilot schedules, 150t
  • Plan–Do–Study–Act (PDSA cycle), 18–19
  • Planning for success, see Strategic plans
  • Policies, equity, 104–105
  • Positive culture, for data analysis, 106–107
  • Prioritization (of action steps), 160, 161t–163t, 163
  • Prior systems, 5
  • Privileged populations, 5
  • Problem(s):
    • articulation of, 15
    • in deeper learning, 54
    • identifying, 18
  • Product, in deeper learning, 54
  • Professional development (PD), 12, 84t, 85, 127t, 132t, 136, 142, 156t, 157, 161t–163t, 174t, 178, 183t
  • Professional development committees, 70
  • Professional learning communities (PLCs), 171–172
  • Professional learning plans, 127t
  • Promotion rates, 98
  • Purpose, in deeper learning, 54
  • R
  • Reflect–change–growth cycle, 8f. See also Concerns‐based adoption
  • Refocusing stage (Concerns‐Based Adoption Model), 8t
  • Relationships, building, 48t
  • Representation:
    • providing multiple means of, 42–43, 68t
    • self‐assessment of, 129t
    • and strategic planning, 147t
  • Resistance to change, 9
  • Resource allocation, timeline for, 89
  • Resource Mapping in Schools and School Districts: A Resource Guide (Level et al.), 89
  • Resources (as step in logic models), 153, 157, 158t
  • Response to Intervention (RTI), 27–28
  • Restorative practices, 49t
  • Retention policies and procedures, 130t
  • Rhode Island Department of Education, 18
  • Root‐cause analysis, 135–143
  • Root causes, understanding, 16
  • S
  • Safe schools, 102, 121t, 131t
  • Scaffolding, 49t
  • Scheduling, tiered, 88t, 124t
  • Scheduling committee, 161t, 162t
  • School committees, 104
  • School councils, 69
  • School design, 55
  • School Improvement Plans, 83t
  • School improvement teams, 69
  • Self‐assessment(s), 113–134
    • completing, 114–117
    • and development of essential planning questions, 130, 131t–132t, 133
    • document review as form of, 82
    • and implementing of tiered systems, 122, 122t–125t, 132t
    • and instructional design, 117, 118, 119t–121t
    • and instructional vision, 117, 118t
    • and root‐cause analysis, 136
    • and systems/structures, 126, 126t–130t
    • of vision, 116, 117, 118t
  • Self‐regulation, 49t
  • Silos, 6
  • Skills, 46
    • demonstrating, 52
    • of UDL practitioners, 48t–49t
  • SMART goals, 158t, 160t, 164t, 166t, 173t, 176, 177t
  • Smith, K. L., 171
  • Smith, R. Alex, 171
  • Social‐emotional domain, 31
  • Social emotional learning, 49t
  • Sorting stage (initiative review), 80t
  • Southern Poverty Law Center, 101
  • Sparks, S., 66
  • Special education, 6, 27, 123t
  • Staffing, tiered, 124t
  • Stakeholders, 16, 55, 61, 100
  • Standards, articulation of, 48t
  • Standards‐based instruction, 72t
  • State accountability data, 98
  • State of the World's Children report (UNICEF), 39
  • Strategic Plan, 83t
  • Strategic plans (strategic planning), 145–168
  • Strategies, 46
  • Structural reviews, 128t
  • Structural supports, 132t
  • Student achievement data, 98
  • Student councils, 70
  • Student engagement, providing multiple means of, 42
  • Student Growth Percentages (SGP), 99
  • Student support teams, 69
  • Students with disabilities (SWDs), 123t, 129t, 150t, 162t
  • Success, planning for, see Strategic plans
  • Superintendents, 64, 73
  • SWDs, see Students with disabilities
  • Swift Education Center, 89
  • System implementation, 169–185
  • Systems and structures, 13f, 46–47
    • in deeper learning model, 14t
    • in MTSS, 31–33, 32t
    • self‐assessment for, 126, 126t–130t
  • Systems data, 100
  • Systems inventory, 91, 92t–93t
  • Systems‐level change, 61–62
  • Systems thinking, 18
  • T
  • Team(s), 60–70
    • collective bargaining, 70
    • coordinating with other, 69–70
    • core leadership, 62, 63t, 65t, 69
    • developing norms for, 64–68, 66t, 68t
    • getting buy‐in for, 60–61
    • grade level data, 69
    • members of the, 61–62, 63t
    • process for, 64, 65f
    • school improvement, 69
    • student support, 69
    • and UDL, 70, 71t
    • and vision, 60–70
  • Technical challenges, 2, 4t
  • Technology, educational and assistive, 125t, 128t
  • “Ten Dimensions: Resource Equity Diagnostic for Districts” (Alliance for Resource Equity), 101–102
  • “3 Signature Practices Playbook” (CASEL), 35–36
  • Tier 1 supports, 24–25, 27, 38, 55, 92t, 108t, 122t, 123t, 132t, 182
  • Tier 2 supports, 25–27, 108t, 122t, 123t, 132t, 156, 182
  • Tier 2A supports, 26, 92t
  • Tier 2B supports, 26, 92t
  • Tier 3 supports, 26–27, 92t, 108t, 122t, 123t, 132t
  • Tiered scheduling, 88t, 124t
  • Tiered staffing, 124t
  • Tiered supports, 13f, 83t
  • Tiered systems:
    • data‐driven, 183t
    • in deeper learning model, 14t
    • in MTSS, 29–31, 31t
    • self‐assessment and implementation of, 122, 122t–125t
  • TIES Center, 25
  • Timeframe, for vision, 75
  • Timeline, for resource allocation, 89
  • Time‐related norms, 66t
  • TNTP, 37–39
  • Tracking Instructional Dosage to Inform Instructional Decision Making (Mason and Smith), 171
  • Trauma and Learning Policy Initiative (Massachusetts Advocates for Children), 102–103
  • Trauma‐informed practices, 72t
  • U
  • UDL Guidelines (CAST), 43, 67–68, 68t
  • UDL Now! A Teacher's Guide to Applying Universal Design for Learning (Novak), 41, 43, 46–47
  • UDL Playbook for School and District Leaders (Novak and Woodlock), 3
  • UDL Theory and Practice (Meyer et al.), 40
  • Understanding root causes, 16
  • Unfreeze–change–freeze model, 5–7
  • UNICEF, 39
  • United Nations, 38–39
  • “Universal, Inclusive Education ‘Non‐Negotiable'” (UN), 38–39
  • Universal Design for Learning (UDL), 28, 39–51
    • basis for, 40
    • differentiated instruction vs., 44, 44t
    • and fidelity, 174t–175t
    • and inclusive instruction, 50
    • in multi‐tiered systems, 45–47
    • practitioner skillset in, 47, 48t–49t
    • principles of, 42–43
    • and strategic planning, 149t, 161t–163t
    • and student variability, 40–42
    • and teams, 70, 71t
    • as term, 39
  • Universally Designed Leadership (Novak and Rodriguez), 23, 153, 181
  • University of Maryland, 87
  • University of Missouri, 171
  • University of Southern Mississippi, 171
  • Unlearning: Changing Your Beliefs and Practices with UDL (Posey and Novak), 5
  • US Department of Education, 17, 103, 178
  • V
  • Validation step (root‐cause analysis), 140, 141, 141t
  • Variability, interpersonal vs. intrapersonal, 41
  • Variations in performance, 18
  • Verification step (root‐cause analysis), 142, 142t
  • Vermont, 37
  • Vetting (of strategic plan), 151–152
  • Vision, 59–76
    • alignment of systems/structures to, 128t
    • in Concerns‐Based Adoption Model, 9
    • creating a, 73–76
    • in deeper learning model, 14t
    • in MTSS, 29
    • realizing our, 2
    • self‐assessment of, 116, 117, 118t
    • shared, 118t
    • and the team, 60–70
    • timeframe for, 75
    • and understanding effective practices, 70–72
  • Vision alignment, 119t
  • “Visual learners,” 41
  • Vocabulary instruction, 49t
  • W
  • Waitoller, F., 38
  • Wallace, R. C., 7
  • Washington Office of Public Instruction, 61
  • WhatWorks Clearinghouse, 2
  • WIN, 26, 157, 159t, 161t
  • “Wisdom of crowds,” 16
  • W.K. Kellogg Foundation, 153
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