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.
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.
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.
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.