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The three-hour sessions were tailored by grade level and developed based on suggestions for growth based on the learning walks that were conducted. Feedback is a critical catalyst for professionallearning and growth. Feedback is a powerful tool for driving professionallearning.
Studying student data seems to not at all improve student outcomes in most of the evaluations I’ve seen,” said Heather Hill, a professor at the Harvard Graduate School of Education , at a February 2022 presentation of the Research Partnership for ProfessionalLearning, a new nonprofit organization that seeks to improve teaching.
This blog is the second in a series sharing our Maker Learning team’s experience designing and facilitating this professionallearning experience. In our previous blog , we shared how our team designed the Maker Learning @ Home cohort professionallearning opportunity.
Data Driven Instruction: How Student Data Guides Formative Assessments. As personalized learning becomes a more mainstream pedagogy in K–12 classrooms, teachers have started to adapt assessment processes to get a deeper look at student growth. . eli.zimmerman_9856. Tue, 10/16/2018 - 11:44.
In the face of the COVID-19 pandemic, districts and educators have been tasked with shifting teaching and learning online, and many are seeking resources to support learning in this new environment. We recognize that while educators adapt to new realities, they remain dedicated to their students’ well-being and learning.
With schools closed and social distancing orders in place due to COVID-19, micro-credentials —which are online and on-demand—allow educators to continue their professionallearning without leaving their homes. Micro-credentials support timely topics like distance learning.
Only 29 percent of teachers say they’ve received AI-related professional development , with teachers in high-poverty settings less likely to participate in AI training than their peers. Although equitable access to AI in classrooms is a problem, professionallearning offers a solution.
This perspective transforms data analysis into an empowering process; data is a tool for improvement amongst our students rather than a measure of failure. This mindset shapes how we view data. When reviewing data, we dont dwell on weaknesses. This allowed them to feel and have tremendous ownership over their learning.
Micro-credentials empower educators by showcasing the professionallearning skills they are using every day to develop the students in their classrooms. The Institute has developed a series of micro-credentials around personalized learning implementation based on our Honeycomb Model. Christina Sprader.
As districts address unfinished learning, evaluate student growth, and re-engage school communities during the 2021-2022 school year, data equity can highlight where support is needed and help schools better support students’ experiences and needs. Making A Difference With Data Equity.
She will share her insights on creating professionallearning pathways and customizing education for both teachers and students. Her advice for empowering teachers as part of creating learning objectives for the school and their own personalized learning.
Professionallearning It is hard to meet goals and expectations to improve learning if consistent support is absent. Professionallearning develops and strengthens the expertise of teachers and administrators so they are better equipped to meet the needs of all learners.
To learn more about how districts are integrating innovative instructional practices and data-driven tools for more personalized learning, EdSurge spoke with Dr. Joseph Mancuso , Superintendent of Eastern York School District , and Michael Calvert , Director of Elementary Education at South Allegheny School District.
Professional development (PD) is something that is typically "done" to educators. On the other hand, professionallearning is something they actively WANT to engage in to grow. In this piece of #EDvice below, I dive into a mindset shift from professional development to professionallearning.
Finally, technology can be harnessed to transform teaching and learning by enhancing assessment and feedback. Technology can be used to create assessments, quizzes, and evaluations, providing teachers with real-time data on student progress, enabling them to give feedback and adjust instruction accordingly.
While it won't replace the irreplaceable human touch in the classroom, AI can significantly enhance teaching and learning by offering personalization, efficiency, and insightful data analysis. Personalized Learning Pathways Imagine a classroom where each student receives instruction tailored to their specific needs.
This includes digital pedagogy that consists of purposeful use, a move to personalized learning through blended strategies, use of data to differentiate, innovative assessment, and performance tasks. It can also set the state to the creation of a viable virtual learning option for students who prefer this model.
Sponsored by ClassLink Data privacy is a consistently high priority in any school district setting, and its implications span school operations. Navigating the ever-changing world of data privacy requires effective processes in school governance, communications, and other school functions.
Success using rotational models relies on maximizing available class time, understanding sound pedagogy, and leveraging actionable data. Below are some resources I created to help educators with effective implementation.
While this is undoubtedly important, it is also vital to gather input on professionallearning and resources that are needed— more of this down the road. Data is used to group, regroup, provide targeted instruction, pull individuals for intensive one-on-one support, and differentiate to especially help at-risk learners.
The essential ingredients for a data-driven culture have little to do with data itself, experts say. In practice, data-driven education can be challenging — but it’s worth the effort, say educators who have done it. These insights, in turn, support data-driven education that can boost retention and graduation rates.
This means looking at key practices such as Tier 1 instruction, pedagogy, assessment, feedback, differentiation, RTI , real co-teaching , and professionallearning to see where there is an opportunity to grow. The consistent use of high-agency strategies and data has resulted in a myriad of ways to help address the needs of learners.
Personalized pedagogy sets the stage for the purposeful use of technology to better assist in meeting students' learning needs while providing educators with timely data. Based on 13 data points, it continuously adjusts to offer true personalization, including behavior and prerequisite knowledge. Teacher access to K-8 content.
As I work with leadership teams, many are struggling to engage their teachers in professionallearning this year. They are excited about the potential of leveraging this technology to create more dynamic, differentiated, and student-centered learning experiences. Blended Learning Coaching Course.
Practices such as BYOD, 1:1, blended learning, personalized learning, classroom and school redesign, branding, makerspaces, professionallearning, etc. The DPA creates the context for our work with leaders and teachers, providing authentic baseline data to support personalized professionallearning.
Examples include flexible schedules, virtual options, learning academies, use of data, and high-functioning PLCs. An equitable learning culture at the district and school level can only be created through the development of policies, procedures, and vision that result in systems geared toward supporting the uniqueness of all learners.
The essential ingredients for a data-driven culture have little to do with data itself, experts say. In practice, data-driven education can be challenging — but it’s worth the effort, say educators who have done it. These insights, in turn, support data-driven education that can boost retention and graduation rates.
The essential ingredients for a data-driven culture have little to do with data itself, experts say. In practice, data-driven education can be challenging — but it’s worth the effort, say educators who have done it. These insights, in turn, support data-driven education that can boost retention and graduation rates.
Now in the age of COVID-19 the TGR Foundation and Discovery Education introduce the first module in a new series of no-cost digital professionallearning resources, empowering educators with new strategies to support student success far beyond school campuses. Disclosure of Material Connection: This is a sponsored podcast episode.
Will kids go back to school or continue to learn remotely? How will educators get the professionallearning support they so desperately need? Blended learning is where students use technology to have control over path, place, and pace. How will safety be ensured for all people in a building?
Data is also critical, as schools seek to determine where they need additional training to maximize technology investments and make informed decisions about future purchases. Does your district have that data? Data Insights Help K–12 Leaders Improve Decision-Making.
We must commit to creating meaningful, purposeful professionallearning experiences for our educators. We must commit to creating meaningful, purposeful professionallearning experiences for our educators. Bring all of these data sources to your leadership team, and begin to explore appropriate goals.
Respectively, we work at Teaching Lab , the Research Partnership for ProfessionalLearning (RPPL) , and The Calculus Project , three projects that participated in the Gates Foundation’s K-12 AI Pilot Cohort. For example, teachers might learn to use ChatGPT to generate lesson plans or to compose feedback on student writing.
Now don't get me wrong as this has been incredibly fulfilling and a great learning experience for me. However, you just can't replace face-to-face professionallearning, in my opinion. Here is where data can be collected and analyzed for groupings if the right tool is used. The teacher has two options here.
Lastly, a commitment to continuous improvement and data-driven decision-making is essential to drive positive changes and enhance the quality of education for all students within the district. Regular assessment and data-driven decision-making further support the development and implementation of effective teaching strategies.
First and foremost, make the time to learn, grown, and get better as opposed to finding the time. There is nothing more important to an educator, outside of working with kids, than professionallearning. Through social media a Personal Learning Network (PLN) provides a great antidote to the age-old time excuse.
Research shows that professionallearning has the potential to transform teaching and advance equitable learning and student success. Recent research in the field demonstrates the effectiveness of professionallearning in advancing equity-focused change in education. What does best practice look like?
The use of data is extremely important. Investments in time and resources are made to establish ongoing and job-embedded professionallearning for staff. It requires a deeper understanding of how the brain works and research-based strategies that teachers can readily implement in their classrooms.
A traditional teacher likely starts out as a lecturer who uses digital tools sparingly , and data only when it’s convenient. This teacher also mines data at the individual student level to help students become active owners of their learning process. . Personalized Learning Is the Ultimate Goal. by Brian Seymour.
Data-driven decisions are increasingly recognized as a critical component of K-12 education, enhancing personalized learning, improving assessment and feedback, optimizing resource allocation and fostering early intervention. Despite the benefits, implementing data-driven decision-making in education presents challenges.
Personalized ProfessionalLearning. In future ready schools, technology and digital learning expand access to high-quality, ongoing, job-embedded opportunities for professionallearning for teachers, administrators, and other education professionals. Data and Privacy. Budget and Resources.
Currently, my work with schools assists them with Tier 1 instruction, personalization, school culture, leadership (digital, pedagogical, sustainable change), using data, branding, and the purposeful use of technology. Just like for our learners, professionallearning needs to be personalized and differentiated.
Hechinger Report just published an article on how having teachers study student data doesn’t actually result in better student learning outcomes. For at least two decades now we have been asking teachers to take summative and formative data and analyze the heck out of them. We create data teams and data walls.
Leaders juggle countless responsibilities , such as strategic planning, professionallearning, evaluating staff, engaging with stakeholders, and a slew of management tasks. Ultimately, a combination of these elements can contribute to the common challenge of prioritizing effectively. If not, where do we begin and why?
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