This commentary from LEARN Network provides practical guidance on how to pilot new evidence-based interventions to build support for and eventually scale new programs that measurably improve student outcomes. Key steps include: bringing together the right people in the form of a cross-functional leadership team; gathering the necessary information for decision-making (including how educators use the program, what supports and resources are necessary for its effective implementation, and whether students actually benefit); and spreading the intervention to a larger group. Unless new programs become "institutionalised" by educators with ownership over their implementation, they will be incapable of surviving leadership turnover, and the cycle of moving to the next new thing will continue unbroken.
Across the country, states are moving to education systems that are more student centered, equitable, and competency based. They are doing so because they understand that the legacy model for educating our young people is not working. Although graduation rates have increased, other markers of progress have not. Standardized test scores remain relatively flat. Achievement and opportunity gaps persist despite decades of increased funding and abundant strategies to reduce them. Chronic absenteeism is near an all-time high. The reality is that too many students do not find school to be interesting, engaging, or relevant for their futures. This is particularly true for youth of color and other marginalized student populations. Rather than continuing to tinker around the edges, we can advance real change! Here’s how.
Artificial intelligence (AI) encompasses a broad set of tools developed to perform tasks that have historically required human intelligence. The new generative AI tools, such as ChatGPT, are not programmed with a specific set of instructions; rather, they are trained on sets of data and algorithms that guide how they respond to prompts. We are increasingly using a range of AI tools—such as autopopulate suggestions, navigation systems, facial recognition on phones, and ChatGPT—in many aspects of our lives. Because of the prevalence and power of these tools, their rapid development, and their potential to be truly disruptive—in positive and negative ways—it is critical that school districts develop policies, guidelines, and supports for the productive use of AI in schools. Later in this commentary, we discuss many of the short-term positives and negatives of using AI in schools. The greatest impact of AI, however, is how it can transform teachers’ roles and student learning.
During the 2022–23 school year, artificial intelligence (AI) evolved from an experimental technology few had heard of into readily available technology that has become widely used by educators and students. There are many ways educators can use AI that may positively revolutionize education to benefit classroom instruction, to support data use and analysis, and to aid in decision-making. The biggest potential upsides of AI for education will be accompanied by major disruptions, however, and districts will need time for thoughtful consideration to avoid some of the worst possible pitfalls. This commentary focuses not on how best to harness the potential of AI in education over the long term but instead on the urgent need for districts to respond to student use of AI. We argue that during summer 2023, districts should adopt policies for the 2023–24 school year that help students to engage with AI in productive ways and decrease the risk of AI-related chaos due to society’s inability to detect inappropriate AI use.
California has embraced Social Emotional Learning (SEL) as a crucial aspect of education, integrating emotional management, positive goal setting, empathy, and relationship skills into academic success. This commitment is evident in the state's adoption of SEL components in its educational standards and accountability systems. However, while the state is implementing surveys to gauge school climate, it's yet to fully understand how these relate to academic progress or link social-emotional learning to overall school improvement. The CORE districts have taken strides by measuring specific competencies like self-management and growth mindset, finding that these skills predict student performance at different academic levels. Yet, educators need guidance on using this data for improvement. PACE is studying the CORE districts' innovative accountability system to pinpoint successful policies and practices regarding SEL, aiming to reduce disparities among student sub-groups. Understanding how learning environments foster SEL can inform efforts to improve education across California and potentially nationally. Moving forward, California needs to focus on developing educators' capacity to utilize SEL data effectively and invest in integrating SEL in both school-day and expanded learning environments for continuous improvement.
Educators face growing pressure to utilize data for informed decision-making, yet the research supporting this movement remains underdeveloped. A recent Educational Administration Quarterly article delves into organizational factors influencing data use, drawing from four California school systems. Across traditional districts and charter management organizations (CMOs), state and federal accountability systems heavily shape data use. These systems prioritize data from state assessments and benchmark exams, crucial for program improvement and attracting families in charter schools. Organizational conditions, like decision-making structures, financial resources, and regulatory environments, impact resource allocation for data use. While financial constraints universally limit efforts, CMOs’ decentralized structures enable investments in human capital and technology. These findings highlight tensions arising from diverse accountability demands and propose revisiting metrics underpinning success. They also suggest avenues for sharing best practices, such as districts aiding teacher support while CMOs demonstrate advanced data management systems. Policymakers can leverage these insights to navigate accountability complexities and foster cross-system learning.
The Urban School Leaders (USL) program at California State University Dominguez Hills, backed by a five-year federal grant, embodies a partnership between LAUSD districts and the university. Its goal is to prepare leaders for high-needs schools, enhance staff development, and foster student achievement. Adapting to students' needs and the evolving demands on schools has prompted ongoing reflections and changes within the program. Continual adjustments maintain curriculum rigor while integrating theoretical knowledge with practical experiences. The program's evolution is a collaborative effort involving curriculum review, aligning with standards, and emphasizing research-based practices. Forming and nurturing partnerships with school districts necessitates time, flexibility, and creativity, ensuring meaningful dialogues among stakeholders to address LAUSD's student needs. This ongoing learning process emphasizes the importance of active experiences and reflective learning for educational leaders. The success of the program holds promise for policy implications, establishing a new paradigm in leader development, emphasizing ongoing university-district partnerships, transforming urban communities, and embedding research as a regular practice within educational settings. This model foresees universities becoming hubs for continual development, fostering a transformed educational landscape by nurturing stable communities and promoting ongoing research-driven improvements.
Researchers investigate the efficacy of California's technical assistance response to the Elementary and Secondary Education Act (ESEA) requirements, specifically focusing on District Assistance and Intervention Teams (DAITs) in low-performing districts. A new study spans three years and examines the impact on student achievement in math and English language arts (ELA) for Program Improvement Year 3 (PI3) districts, separating them into DAIT and non-DAIT groups. The findings reveal a statistically significant positive impact of DAITs on math achievement, with suggestive evidence of improvements in ELA scores. Additionally, DAITs contribute to reducing achievement gaps among different student groups. While the study cannot pinpoint the specific actions of DAITs leading to improved outcomes, it highlights their potential role in enhancing focus on data-guided instruction, shaping district culture with high expectations, and increasing within-district accountability. Results suggest that intensive technical assistance interventions, such as DAITs, could be a cost-effective means of improving student achievement in low-performing schools and districts, emphasizing the importance of exploring technical assistance provisions in accountability policies for broader applications.
Strategies for Successful Scaling in Districts
This commentary from LEARN Network provides practical guidance on how to pilot new evidence-based interventions to build support for and eventually scale new programs that measurably improve student outcomes. Key steps include: bringing together the right people in the form of a cross-functional leadership team; gathering the necessary information for decision-making (including how educators use the program, what supports and resources are necessary for its effective implementation, and whether students actually benefit); and spreading the intervention to a larger group. Unless new programs become "institutionalised" by educators with ownership over their implementation, they will be incapable of surviving leadership turnover, and the cycle of moving to the next new thing will continue unbroken.
Advancing Towards a Student-Centered Approach to Education
Across the country, states are moving to education systems that are more student centered, equitable, and competency based. They are doing so because they understand that the legacy model for educating our young people is not working. Although graduation rates have increased, other markers of progress have not. Standardized test scores remain relatively flat. Achievement and opportunity gaps persist despite decades of increased funding and abundant strategies to reduce them. Chronic absenteeism is near an all-time high. The reality is that too many students do not find school to be interesting, engaging, or relevant for their futures. This is particularly true for youth of color and other marginalized student populations. Rather than continuing to tinker around the edges, we can advance real change! Here’s how.
From Reactive to Proactive
Artificial intelligence (AI) encompasses a broad set of tools developed to perform tasks that have historically required human intelligence. The new generative AI tools, such as ChatGPT, are not programmed with a specific set of instructions; rather, they are trained on sets of data and algorithms that guide how they respond to prompts. We are increasingly using a range of AI tools—such as autopopulate suggestions, navigation systems, facial recognition on phones, and ChatGPT—in many aspects of our lives. Because of the prevalence and power of these tools, their rapid development, and their potential to be truly disruptive—in positive and negative ways—it is critical that school districts develop policies, guidelines, and supports for the productive use of AI in schools. Later in this commentary, we discuss many of the short-term positives and negatives of using AI in schools. The greatest impact of AI, however, is how it can transform teachers’ roles and student learning.
The Urgent Need to Update District Policies on Student Use of Artificial Intelligence in Education
During the 2022–23 school year, artificial intelligence (AI) evolved from an experimental technology few had heard of into readily available technology that has become widely used by educators and students. There are many ways educators can use AI that may positively revolutionize education to benefit classroom instruction, to support data use and analysis, and to aid in decision-making. The biggest potential upsides of AI for education will be accompanied by major disruptions, however, and districts will need time for thoughtful consideration to avoid some of the worst possible pitfalls. This commentary focuses not on how best to harness the potential of AI in education over the long term but instead on the urgent need for districts to respond to student use of AI. We argue that during summer 2023, districts should adopt policies for the 2023–24 school year that help students to engage with AI in productive ways and decrease the risk of AI-related chaos due to society’s inability to detect inappropriate AI use.
Can Social-Emotional Skills Drive Continuous Improvement?
California has embraced Social Emotional Learning (SEL) as a crucial aspect of education, integrating emotional management, positive goal setting, empathy, and relationship skills into academic success. This commitment is evident in the state's adoption of SEL components in its educational standards and accountability systems. However, while the state is implementing surveys to gauge school climate, it's yet to fully understand how these relate to academic progress or link social-emotional learning to overall school improvement. The CORE districts have taken strides by measuring specific competencies like self-management and growth mindset, finding that these skills predict student performance at different academic levels. Yet, educators need guidance on using this data for improvement. PACE is studying the CORE districts' innovative accountability system to pinpoint successful policies and practices regarding SEL, aiming to reduce disparities among student sub-groups. Understanding how learning environments foster SEL can inform efforts to improve education across California and potentially nationally. Moving forward, California needs to focus on developing educators' capacity to utilize SEL data effectively and invest in integrating SEL in both school-day and expanded learning environments for continuous improvement.
Designing School Systems to Encourage Data Use and Instructional Improvement
Educators face growing pressure to utilize data for informed decision-making, yet the research supporting this movement remains underdeveloped. A recent Educational Administration Quarterly article delves into organizational factors influencing data use, drawing from four California school systems. Across traditional districts and charter management organizations (CMOs), state and federal accountability systems heavily shape data use. These systems prioritize data from state assessments and benchmark exams, crucial for program improvement and attracting families in charter schools. Organizational conditions, like decision-making structures, financial resources, and regulatory environments, impact resource allocation for data use. While financial constraints universally limit efforts, CMOs’ decentralized structures enable investments in human capital and technology. These findings highlight tensions arising from diverse accountability demands and propose revisiting metrics underpinning success. They also suggest avenues for sharing best practices, such as districts aiding teacher support while CMOs demonstrate advanced data management systems. Policymakers can leverage these insights to navigate accountability complexities and foster cross-system learning.
A Culture of Continuous Improvement for Improved Educational Leadership Development and Training
The Urban School Leaders (USL) program at California State University Dominguez Hills, backed by a five-year federal grant, embodies a partnership between LAUSD districts and the university. Its goal is to prepare leaders for high-needs schools, enhance staff development, and foster student achievement. Adapting to students' needs and the evolving demands on schools has prompted ongoing reflections and changes within the program. Continual adjustments maintain curriculum rigor while integrating theoretical knowledge with practical experiences. The program's evolution is a collaborative effort involving curriculum review, aligning with standards, and emphasizing research-based practices. Forming and nurturing partnerships with school districts necessitates time, flexibility, and creativity, ensuring meaningful dialogues among stakeholders to address LAUSD's student needs. This ongoing learning process emphasizes the importance of active experiences and reflective learning for educational leaders. The success of the program holds promise for policy implications, establishing a new paradigm in leader development, emphasizing ongoing university-district partnerships, transforming urban communities, and embedding research as a regular practice within educational settings. This model foresees universities becoming hubs for continual development, fostering a transformed educational landscape by nurturing stable communities and promoting ongoing research-driven improvements.
Technical Assistance Can Play a Key Role for Poorly-Performing Schools
Researchers investigate the efficacy of California's technical assistance response to the Elementary and Secondary Education Act (ESEA) requirements, specifically focusing on District Assistance and Intervention Teams (DAITs) in low-performing districts. A new study spans three years and examines the impact on student achievement in math and English language arts (ELA) for Program Improvement Year 3 (PI3) districts, separating them into DAIT and non-DAIT groups. The findings reveal a statistically significant positive impact of DAITs on math achievement, with suggestive evidence of improvements in ELA scores. Additionally, DAITs contribute to reducing achievement gaps among different student groups. While the study cannot pinpoint the specific actions of DAITs leading to improved outcomes, it highlights their potential role in enhancing focus on data-guided instruction, shaping district culture with high expectations, and increasing within-district accountability. Results suggest that intensive technical assistance interventions, such as DAITs, could be a cost-effective means of improving student achievement in low-performing schools and districts, emphasizing the importance of exploring technical assistance provisions in accountability policies for broader applications.