Craft Category: Artifacts

Report: Effects of Personalized Professional Learning Opportunities on TK-8 Learner Growth

Findings from previous examinations of the Lindsay Unified School District (LUSD)’s personalized professional learning program informed the design of our modular, in-depth analysis of the three-year Empower Teacher and School Leader (TSL) Grant. Each module aligns to specific research questions and builds towards a broader examination of the personalized professional learning program and the performance-based compensation strategies (PBCS) implemented within the district.

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Report: Effects of Professional Learning Opportunities on Learner Growth – Background Information Supporting the Three-Year TSL Grant

Lindsay Unified School District (LUSD) has made a commitment to ensuring that all learners have the very best learning experiences every day. Through its Strategic Design, the district has articulated a clear vision for personalized, performance-based learning for both children and adults. Consequently, LUSD began a personalized professional learning program for its learning facilitators and leaders that has been supported by a federal Teacher and School Leader (TSL) grant. Over the course of three academic years (2017-2020), learning facilitators and leaders in LUSD have participated in a range of professional learning opportunities designed to develop their capacity to implement the district’s vision of the Ideal Learning Experience.

To demonstrate and document how school systems can create high-quality, personalized, performance-based professional learning approaches for learning facilitators and leaders, The Learning Accelerator (TLA) has collaborated with the LUSD leadership team. As a result of this partnership, TLA has designed and implemented a comprehensive and ongoing research plan to analyze the effects of personalized professional learning and performance-based compensation on both learner achievement and adult competencies.

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Executive Summary: Effects of Personalized Professional Learning Opportunities on Learner Growth

This executive summary synthesizes the findings from five different reports related to an in-depth analysis of the Lindsay Unified School District (LUSD) personalized professional learning program. In addition to reviewing the details of the program, this summary describes patterns of learning facilitator participation and key findings about the relationship between professional learning and learner growth. It also presents a synopsis of the effects of LUSD’s Performance Based Compensation Strategies (PBCS) and discusses the district’s return on investment.

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Report: Effects of Professional Learning Opportunities on Learner Growth – Initial Analysis

Beginning in the 2017-18 School Year, Lindsay Unified School District (LUSD) launched a strategy to provide personalized professional learning opportunities to its learning facilitators (i.e., teachers) to support the development of the district’s Adult Learning Curriculum (ALC) as part of a Teacher and School Leader (TSL) grant initiative. To measure the effectiveness of LUSD’s professional learning approach on learner (i.e., student) growth, this initial analysis addresses three primary research questions using data from the first two years of the grant: (1) how did engaging in professional learning affect learner achievement? (2) which combinations of professional learning emerged in terms of type and dose? and (3) which combinations had the greatest effect on learner outcomes? The conclusions from this report will inform the direction of subsequent analyses and serve as a first indication of the effectiveness of the professional learning opportunities implemented under the TSL grant initiative. View the executive summary and an accessible version of this report.

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Aurora Institute’s 2022 Federal Policy Priorities

Informed by the expertise and wisdom of thousands in its community, the Aurora Institute’s 2022 federal policy priorities are a set of nine recommendations designed to ensure education systems move from the current state to future-focused systems capable of preparing all learners with building the knowledge and skills necessary to achieve lifelong success. The priorities include:

  • Advance education innovations
  • Transform systems of assessments
  • Rethink next generation accountability
  • Create learning ecosystems and competency-based pathways aligned across K-12, higher education, career and technical education, and the workforce
  • Modernize the educator workforce
  • Diversify the educator workforce
  • Advance educational equity
  • Bridge the digital divide
  • Support COVID-19 learning recovery

Download our 2022 federal policy recommendations for a full analysis of these issues. Policymakers at all levels are encouraged to contact the Aurora Institute Center for Policy for more information or assistance.

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Mountain Heights Academy’s Student Engagement Profile

Administrators at Mountain Heights Academy developed a brief student profile for each learner to show different levels of engagement based on GPA, credit analysis, grade-level mastery, and social-emotional learning (SEL) needs. Students and parents have access to this profile in their Google Docs portfolio folder. Administrators use this data to design targeted interventions to further support the students, and the school utilizes a platform called Zappee to help pull this data.

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Taos Academy’s Synchronous Advisory

All students at Taos Academy are required to join their weekly synchronous advisory meeting with their academic advisor and cohort. This synchronous meeting runs from 8:15 a.m. to 12 m. once per week, during which students and advisors engage in social-emotional learning (SEL) activities, goal-setting, small-group check-ins, and one-to-one support. This sets up students for independent success during the rest of their weekly asynchronous time.

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Quality Drivers of Virtual/Hybrid Learning: Team Assessment

Using The Learning Accelerator‘s Key Factors that Help Drive Remote Learning Quality as a framework, this team assessment intends to surface and identify the prevalence of the drivers of quality virtual/hybrid learning in context. This tool uses the same survey items as from the self-assessment, but instead of asking individuals to rate their confidence in each item, it prompts teams to use a modified version of the Stoplight protocol from DataWise to indicate the degree to which each driver exists in context – consistently, in pockets, or not at all. This team assessment also prompts participants to add evidence to support their observations.

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