Throughout this series, I’ve shared what I’ve learned from working alongside district leadership teams across the country as they navigate artificial intelligence, digital wellness, and purposeful technology use.
We’ve explored:
why curiosity is replacing fear
why educator readiness is the foundation
why leadership and systems matter
But there is another critical question schools must answer:
How do we know if it’s working? Because implementation is not the goal. Impact is.
The Problem With Measuring the Wrong Things
Screen time and effective use of technology are hot topics in conversations happening in schools across the country. In many districts, success with technology has typically been measured by:
number of devices available, so all students can participate in learning
tool adoption rates
platform usage
logins and activity
These metrics are easy to track. But they don’t tell the full story. I’ve said it many times in various ways, but a classroom full of students using devices does not automatically mean that impactful, meaningful learning is happening. Nor does it show true student engagement just by the use of devices.
More technology use does not automatically lead to deeper learning.
More screen time does not equal greater engagement or better outcomes
So we have to really think about what we are measuring. If we continue measuring what is easy, we risk missing what matters most. And we might miss providing the best learning experiences for students.
What Should We Be Measuring Instead?
Across the districts I work with, the leadership teams are beginning to shift their focus.
The districts making the most progress are beginning to ask different kinds of questions:
Are students thinking more deeply?
Are students asking better questions?
Are students able to evaluate information more critically?
Do students understand when and how to use AI responsibly?
Are students being guided in how to use technology and why they are using it?
Do educators feel confident in their instructional decisions?
Are they supported as technology changes?
These are harder to measure, but they are far more meaningful and provide greater insight that schools can act upon.
Indicators Schools Are Moving in the Right Direction
There are some clear indicators I have seen and read about that show schools are moving in the right direction.
1. Student Thinking Is Visible
Students are not simply submitting AI-generated responses. They are explaining their thinking, reflecting on their process, questioning outputs, and making revisions. They are being guided and understand how to use AI as support, not a replacement.
2. Educators Are Making Intentional Decisions
Teachers are not asking whether they can use a certain tool or platform. Instead, they are questioning when they should and what the impact will be. This shift shows greater confidence in the purposeful use of technology and in intentional lesson design. Quality over quantity.
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I help schools and other organizations (law firms, healthcare professionals, business owners, psychologists) implement AI responsibly through policy guidance, professional learning, and classroom-ready strategies grounded in both instructional practice and legal insight.
My sessions focus on helping teams:
• understand what AI can and cannot do
• recognize responsible-use considerations
• build confidence using emerging tools
•align implementation with organizational priorities
If your school, district, or organization is beginning conversations or looking to dive in and learn more about AI policy, professional learning, or responsible implementation, I’d welcome the opportunity to support your next steps through leadership workshops, keynote sessions, or strategic planning partnerships.
Preparing people is what makes AI implementation successful.
Contact me to work with you or speak at your event.bit.ly/thriveineduPDSee testimonials about my work via my website.
In my last article, I shared what I’ve been learning from working with district leadership teams across the country as they navigate questions about artificial intelligence, digital wellness, and purposeful technology use. That work has provided me with insightful information and meaningful opportunities to learn from educators, students, and families.
Throughout these conversations, one message continues to stand out:
We cannot begin, and we cannot stay focused only on the tools and the tech.
We must move forward.
The Shift Schools Must Make Now
In Part II, I emphasized that educator readiness is the foundation of successful AI implementation. Schools that prioritize supporting educators are the ones seeing the most progress. And it starts with leadership and consistency. But readiness alone is not enough.
What I have learned from working with school Task Forces across the country is that they have had many conversations around AI, screen time, and tech use. They have explored the possibilities and understand the urgency with these topics, but they also have a similar question.
What do we do now? And this is where I believe that leadership matters most.
Moving From Conversations to Systems
Across the districts I continue to work with, I see a clear difference between schools that are talking about AI and schools that are leading with AI. I also see a difference between AI in education and AI Education. I recently met with a State Representative in Pennsylvania, and we had this conversation as well. The difference I’ve noticed and that we discussed is not just access to tools. It is about the presence of a system. Schools making meaningful progress are not relying on isolated efforts when they find time. Instead, they are building structures with a lens on consistency, clarity, and sustainability.
The system they are developing is focused on having:
clear expectations for the responsible use of all technology
consistent messaging across classrooms and grade levels
ongoing professional learning opportunities with follow-up support
shared language for students, staff, and families
opportunities for student voice and feedback
When these are part of the conversation, AI implementation becomes less about individual decisions, which leads to inconsistency, and becomes more about a goal for collaborative and collective progress.
Consistency Builds Confidence
One of the most common challenges I have been hearing from both educators and students is inconsistency. I’ve met with student groups, interviewed educators, spoken with parents, and heard similar comments from educators and parents across the country.
In one classroom, the use of technology, and specifically AI, is encouraged. In another, it is restricted. In one classroom or school, the expectations are clear and known to all. In another, they are undefined or inconsistent.
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If your school, district, or organization is beginning conversations or looking to dive in and learn more about AI policy, professional learning, or responsible implementation, I’d welcome the opportunity to support your next steps through leadership workshops, keynote sessions, or strategic planning partnerships.
Preparing people is what makes AI implementation successful.
Contact me to work with you or speak at your event.bit.ly/thriveineduPDSee testimonials about my work via my website.
About Rachelle
Dr. Rachelle Dené Poth is a Spanish and STEAM: What’s Next in Emerging Technology Teacher. Rachelle is also an attorney with a Juris Doctor degree from Duquesne University School of Law and a Master’s in Instructional Technology. Rachelle received her Doctorate in Instructional Technology, with a research focus on AI and Professional Development. In addition to teaching, she is a full-time consultant and works with companies and organizations to provide PD, speaking, and consulting services. Contact Rachelle for your event!
Rachelle is an ISTE-certified educator and community leader who served as president of the ISTE Teacher Education Network. By EdTech Digest, she was named the EdTech Trendsetter of 2024, one of 30 K-12 IT Influencers to follow in 2021, and one of 150 Women Global EdTech Thought Leaders in 2022.
She is the author of ten books, including ‘What The Tech? An Educator’s Guide to AI, AR/VR, the Metaverse and More” and ‘How To Teach AI’. In addition, other books include, “In Other Words: Quotes That Push Our Thinking,” “Unconventional Ways to Thrive in EDU,” “The Future is Now: Looking Back to Move Ahead,” “Chart A New Course: A Guide to Teaching Essential Skills for Tomorrow’s World, “True Story: Lessons That One Kid Taught Us,” “Things I Wish […] Knew” and her newest “How To Teach AI” is available from ISTE or on Amazon.
In part IIof the series, I shared my thoughts about what I’ve been learning from working with district leadership teams across the country, and the work is focused on AI, digital wellness, and innovation. In part II, I shared my thoughts on preparing educators in these areas and why it means preparing school leaders first. This work has provided me with meaningful opportunities to learn with and work alongside educators, students, and families, and I am noticing common conversations and concerns in the schools.
Screen time
Students talk about it. Families ask about it. Teachers notice it. Administrators are expected to respond to it. What do we do about the devices?
But what I have learned from working with schools is that the most important leadership question is not simply how much time students spend on screens. The more important question is: What are students doing while they are on those screens?
As technology continues to evolve in our schools and in the world, we need to move beyond conversations that focus only on limits and restrictions. We need to focus on purpose, guidance, and readiness.
Moving From Screen Time to Purposeful Use
Conversations about student technology use have primarily focused on recommended amounts and on setting limits. The American Pediatric Association had recommendations for some of the most common questions: How many hours per day? How often should devices be used? When should students disconnect?
Although the conversation has shifted away from specific time limits, those guiding questions still matter. But today’s learning environments require something more intentional and thoughtful, and should bring in different perspectives about what the common uses are. We need to better understand how students are using technology and whether that use supports learning, connection, creativity, and growth. From my conversations, I have learned that students are using devices to:
Interact with friends and family
collaborate with classmates
create original work
communicate with teachers
design presentations
explore complex ideas
interact with artificial intelligence tools
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If Your Organization Is Beginning This Work
I help schools and other organizations (law firms, healthcare professionals, business owners) implement AI responsibly through policy guidance, professional learning, and classroom-ready strategies grounded in both instructional practice and legal insight.
My sessions focus on helping teams:
• understand what AI can and cannot do
• recognize responsible-use considerations
• build confidence using emerging tools
•align implementation with organizational priorities
If your school, district, or organization is beginning conversations or looking to dive in and learn more about AI policy, professional learning, or responsible implementation, I’d welcome the opportunity to support your next steps through leadership workshops, keynote sessions, or strategic planning partnerships.
Preparing people is what makes AI implementation successful.
About Rachelle
Dr. Rachelle Dené Poth is a Spanish and STEAM: What’s Next in Emerging Technology Teacher. Rachelle is also an attorney with a Juris Doctor degree from Duquesne University School of Law and a Master’s in Instructional Technology. Rachelle received her Doctorate in Instructional Technology, with a research focus on AI and Professional Development. In addition to teaching, she is a full-time consultant and works with companies and organizations to provide PD, speaking, and consulting services. Contact Rachelle for your event!
Rachelle is an ISTE-certified educator and community leader who served as president of the ISTE Teacher Education Network. By EdTech Digest, she was named the EdTech Trendsetter of 2024, one of 30 K-12 IT Influencers to follow in 2021, and one of 150 Women Global EdTech Thought Leaders in 2022.
She is the author of ten books, including ‘What The Tech? An Educator’s Guide to AI, AR/VR, the Metaverse and More” and ‘How To Teach AI’. In addition, other books include, “In Other Words: Quotes That Push Our Thinking,” “Unconventional Ways to Thrive in EDU,” “The Future is Now: Looking Back to Move Ahead,” “Chart A New Course: A Guide to Teaching Essential Skills for Tomorrow’s World, “True Story: Lessons That One Kid Taught Us,” “Things I Wish […] Knew” and her newest “How To Teach AI” is available from ISTE or on Amazon.
Contact Rachelle to schedule sessions about Artificial Intelligence, AI and the Law, Coding, AR/VR, and more for your school or event! Submit the Contact Form.
Follow Rachelle on Bluesky, Instagram, and X at @Rdene915
Artificial intelligence (AI) is rapidly transforming education. From lesson planning support to personalized learning pathways and administrative efficiencies, AI tools are a more common part of everyday classroom practices. At the same time, the speed at which this technology has advanced and been adopted into classrooms has led to understandable uncertainty among educators, leaders, and families who are asking important questions. These groups are concerned with the data that is being collected, who owns AI-generated work, and what responsibilities schools have when students and educators use these tools.
As both an attorney and educator who has spent more than eight years researching, teaching, presenting, and writing about AI, I have worked with schools across K–12 and higher education that are navigating these exact questions. The legal implications of AI are not barriers to innovation, but I consider them to serve as guardrails that assist schools with adopting technology responsibly. The key is protecting students, educators, and institutions and staying informed. Understanding the legal landscape and any potential legal implications as a result of the use of AI in classrooms helps schools move forward with confidence rather than hesitation.
Why AI and the Law Matter in Education
AI relies on data in order to function effectively. When it comes to schools, this means having access to student information, classroom artifacts, writing samples, images, and even data related to physical or behavioral information. Intent is not the deciding factor. Even if educators believe they are only sharing minimal information, that does not clearly identify a student, family member, or colleague, even seemingly harmless details can qualify as personally identifiable information (PII).
I’ve often spoken about some examples like referencing a favorite restaurant, a local landmark, a pet’s name, or an extracurricular activity, all of which could make a student identifiable when combined with other data points. Last year, an educator in one of my sessions said, “Enough stars to still form a constellation,” and that has stuck with me and I have shared it in each AI and the Law session I have done. That is why evaluating tools carefully and teaching students to do the same are essential. I often reference scavenger hunts, in that educators should not feel like they are on a scavenger hunt when trying to find out what happens to their information. We need transparency from vendors so that educators are aware and informed.
AI is also changing how decisions are made in schools. With many advances, there are recommendation systems, automated feedback tools, and predictive analytics that can influence learning pathways, grading practices, and student support services. Having an understanding of how these systems work and how they should be used responsibly is becoming part of educators’ and school leaders’ professional responsibilities.
Key Laws That Shape AI Use in Schools
There are several important laws that guide how schools must approach AI.
FERPA (Family Educational Rights and Privacy Act) protects the privacy of student education records. When schools use AI-powered platforms that process student work or store learning data, they must ensure that these tools comply with FERPA requirements and clearly define how student information is handled.
COPPA (Children’s Online Privacy Protection Act) applies to students under the age of 13 and requires parental consent before collecting personal information through online services. Because many AI tools rely on user-generated input, COPPA compliance becomes especially important in elementary and middle school settings.
GDPR (General Data Protection Regulation), although it is a European Union law, is relevant to U.S. schools that use tools developed by companies that operate internationally. There are many platforms created outside of the United States that educators may be unaware of, and so understanding GDPR is essential. Many platforms now include cookie permissions and data-use customization features in response to GDPR requirements. These protections often benefit schools globally.
Schools should also consider state-level student data privacy laws, which are increasingly changing the expectations for vendor contracts, third-party integrations, and data retention timelines. District leaders and IT teams play an essential role in ensuring these requirements are addressed before tools are introduced into classrooms.
Data Privacy and Vendor Responsibility
AI tools require large amounts of data to function effectively. That data may be used to improve the tool itself, train additional models, or support integrations across connected platforms. Even when a tool states that it does not share user data, connected services or embedded features may still interact with stored information. I was asked two years ago, when speaking at LACOE in California during my AI and the Law session, if someone should “trust the platform when it says they do not share or store the data.” My instant answer was “No.” And it was for this exact reason.
Before introducing any AI platform in schools, educators and school leaders should review terms of service, privacy policies, and compliance documentation. Look for references to FERPA, COPPA, and additional privacy protections. Look for the date that the privacy policy was most recently updated. Districts should also confirm whether vendors use student information to train future AI models and whether contracts clearly define ownership and storage expectations.
This is where collaboration with district technology teams becomes essential. Responsible adoption is not an individual teacher’s decision. It is a system-level responsibility supported by leadership, policy teams, and instructional staff working together. Collaboration is key.
Transparency Builds Trust With Students and Families
Responsible AI adoption depends on communication. Families deserve clear explanations of the tools being used, the data being collected, and how that data is protected.
When working with students under age 13, written parental consent may be required. Even when it is not legally necessary, providing families with opportunities to ask questions strengthens trust and partnership. Transparency also empowers students. When students understand how AI systems work and the risks they may pose, they become more thoughtful digital citizens and more informed users of technology.
Schools that proactively communicate expectations for AI use are more likely to build families’ confidence and reduce misunderstandings about how these tools support learning.
Accessibility, Equity, and Emerging Legal Considerations
As schools adopt AI tools, accessibility and equity must remain part of the conversation. Laws such as Section 504 ofthe Rehabilitation Act and the Americans with Disabilities Act (ADA) require that digital learning tools be accessible to all students. If AI-powered platforms create barriers rather than support access, schools may face compliance concerns. We need to consistently audit the tools we are using. It must be an ongoing process.
Schools must also consider how AI intersects with Title IX responsibilities, especially with the rise of deepfake technology, which leads to new risks related to harassment and impacts student safety. Policies must be in place for addressing the misuse of generative AI tools and clearly define expectations and response procedures.
Algorithmic bias and fairness are important parts of the conversation. Schools should evaluate whether AI systems produce equitable outcomes across student groups and whether automated recommendations influence learning opportunities in unintended ways. Responsible implementation includes ongoing evaluation, not just initial approval.
Teaching Digital Citizenship With AI Literacy
Legal compliance alone is not enough. Students must also develop the skills needed to evaluate AI responsibly.
Developing skills in these areas means recognizing risks such as deepfakes and misinformation, bias in generated content, and cyberbullying that is supported by emerging technologies. Schools that integrate digital citizenship with AI literacy will guide students to become thoughtful participants in technology-rich environments rather than passive users who lack true understanding and AI literacy skills.
Clear expectations around appropriate use and academic integrity help students develop ethical decision-making skills that extend beyond the classroom.
Supporting Schools and Organizations Through AI and Legal Guidance
As AI adoption accelerates, schools will benefit from having a structured support system in place that connects legal awareness with thoughtful and purposeful classroom practice. Through my work with educators in K–12 and higher education, I provide professional learning experiences that help schools understand privacy requirements, implement responsible AI strategies, and align classroom applications with policy expectations.
My work includes keynote presentations, workshops, district leadership sessions, curriculum planning support, and customized training focused on data privacy, academic integrity, digital citizenship, accessibility considerations, vendor evaluation, and responsible AI adoption. Each training is tailored to address specific needs, ranging from introductory awareness sessions to deeper implementation planning and leadership strategy development.
In addition to supporting schools and universities, I work with organizations across other sectors to explore how to implement AI responsibly while remaining aligned with legal expectations and organizational values. Many industries face the same challenges that educators do, surrounding uncertainty about data privacy, questions about intellectual property ownership, concerns about transparency in decision-making systems, and the need to develop policies that support ethical innovation. My work helps organizations evaluate tools thoughtfully, identify potential risks early, and create practical guardrails that support responsible adoption rather than reactive compliance.
Organizations in healthcare, legal services, workforce development, nonprofit leadership, and corporate training environments are increasingly recognizing the importance of AI literacy for employees at every level. Through workshops, leadership sessions, and strategy conversations, I help teams understand how AI systems work, the legal considerations that may be applicable to them, and how to build cultures of responsible use that prioritize trust, security, and human judgment.
Moving Forward With Confidence
Artificial intelligence is already shaping how students learn, communicate, and prepare for future careers. The goal is not simply to adopt AI tools, but to adopt them responsibly. And this is where our work as educators comes in and why we need to dive in and learn with and guide our students.
When educators understand the legal landscape of privacy, accessibility, intellectual property, and ethical use, they can make informed decisions that support innovation and student protection. With thoughtful planning, collaboration, and transparency, schools will create learning environments where AI enhances opportunities while maintaining trust, safety, and integrity across the entire school community.
I work with schools and organizations, both in person and virtually, to support thoughtful and responsible AI implementation through professional learning, curriculum design, and resource development specific to educators, students, and families, using a common language. I have also collaborated with leadership teams to develop AI guidance frameworks, classroom-ready activities, and policies that reflect legal considerations.
The resources created help districts communicate clearly and consistently with families about AI use, support educators in building AI literacy, and provide students with age-appropriate strategies for using AI safely, ethically, and responsibly. By combining legal insight with classroom experience, I help schools move beyond uncertainty toward sustainable systems that include clear expectations, transparency, and actionable guardrails for responsible use.
About Rachelle
Dr. Rachelle Dené Poth is a Spanish and STEAM: What’s Next in Emerging Technology Teacher. Rachelle is also an attorney with a Juris Doctor degree from Duquesne University School of Law and a Master’s in Instructional Technology. Rachelle received her Doctorate in Instructional Technology, with a research focus on AI and Professional Development. In addition to teaching, she is a full-time consultant and works with companies and organizations to provide PD, speaking, and consulting services. Contact Rachelle for your event!
Rachelle is an ISTE-certified educator and community leader who served as president of the ISTE Teacher Education Network. By EdTech Digest, she was named the EdTech Trendsetter of 2024, one of 30 K-12 IT Influencers to follow in 2021, and one of 150 Women Global EdTech Thought Leaders in 2022.
She is the author of ten books, including ‘What The Tech? An Educator’s Guide to AI, AR/VR, the Metaverse and More” and ‘How To Teach AI’. In addition, other books include, “In Other Words: Quotes That Push Our Thinking,” “Unconventional Ways to Thrive in EDU,” “The Future is Now: Looking Back to Move Ahead,” “Chart A New Course: A Guide to Teaching Essential Skills for Tomorrow’s World, “True Story: Lessons That One Kid Taught Us,” “Things I Wish […] Knew” and her newest “How To Teach AI” is available from ISTE or on Amazon.
Contact Rachelle to schedule sessions about Artificial Intelligence, AI and the Law, Coding, AR/VR, and more for your school or event! Submit the Contact Form.
Follow Rachelle on Bluesky, Instagram, and X at @Rdene915
**Interested in writing a guest blog for my site? Would love to share your ideas! Submit your post here. Looking for a new book to read? Find these available at bit.ly/Pothbooks
************ Also, check out my THRIVEinEDU PodcastHere!
Join my show on THRIVEinEDU on Facebook. Join the group here.
Guest Post by Kathy Renfrew (@krsciencelady), previously published on Middle Web
A while back I bought the novel Wonder. As with many good intentions, life got in the way and as the days turned into weeks the book sat lonely on my nightstand.
Finally, in August, with a new school year starting soon, it seemed an opportune time to finally jump into the text on my nightstand.
I dove in head first and was instantly smitten by the characters in this multi-award winning book and began to see the many ways to apply the learning in Wonder to my work in the classroom.
While reading I began to wonder how I might ‘choose kind’ if I had been a character in Auggie Pullman’s story. What would 9 or 11-year old Kathy have done? Would I have chosen to befriend Auggie?
As our school focused on “choosing kind” to foster students’ social-emotional learning, I went in search of additional resources to use along side this brilliant text in my daily work. Resources like this one from the Teaching Channel shared tips that I would be able to enact instantly.
What do students think?
As posters of #choosekind appeared in the hallways of my school, I was curious to know what students across the country thought choosing kind might look like? Moreover, I was curious to learn how the idea of choosing kind transferred to the three-dimensional learning we teach in science classrooms.
Leveraging the power of our global professional learning network (PLN) through social media, I shared this question across my twitter PLN and a fourth grade teacher in Michigan, Jennifer Ladd, responded.
Click to enlarge
Ladd likes to use one of my favorite learning tools, Padlet, and asked her students to respond to some prompts. Their answers were both inspiring and thought provoking.
Students instantly identified attributes of the 4 C’s including collaboration and communication. For instance Ryan shared, “I think choosing kind in science looks like when someone has a question you don’t say ‘oh that question is not smart’ you try to work together and figure it out and include people.”
Students shared general and specific strategies for choosing kind in science classrooms from the ideas of teamwork and friendship to how to ensure all learners have access to tools for success.
Ashlyn wrote, “I think choosing kind in science looks like teamwork and friendship. Science always should look like what teamwork is. Teamwork and friendship is like people passing around the batteries and wires. Teamwork accomplishes big things.”
Inspired by these fourth grade learners, I began observing students in the classroom to see what they were talking about to their first reading buddies. The fourth grade and the first grade had partnered together to create a shade structure in the outdoor classroom.
In one observation I heard a student choose kind when she said to her group, “I will do the math, all the adding, and you work on the structure. Tim, will you please help Joe with the tape on the structure.”
After hearing from my PLN nationwide and visiting classrooms, I decided to reach out to friends to see how they foster kindness in their science classrooms.
Fellow squadster and teacher laureate Meg Richards shared how “choosing kind in my science classroom has students being open to new experiences and new ways of thought.”
“We spend time talking about how science is a place to wonder, where right answers can always get better if we are open to them,” Meg says.
“After all, in the wise words of Miss Frizzle (of Magic School Bus fame), ‘If you keep an open mind you never know who might walk in.’”
Moving with kindness to equity
#Choosingkind is a great start in acknowledging the small steps we can each take towards creating a more equitable and just world. But it is just the first step. How do we move beyond kindness to include equity where all learners have access to the tools they need to find success?
What are some tools we can implement right now that will help us create kind, safe, and equitable communities in science and across the school building?
One tool that may launch these conversations is called STEM Teaching Tool #54 from the Institute of Science + Math Education. This tool helps us better understand exactly what an equitable classroom is and provides some ideas of how to move forward.
For instance, resources such as the Story of a Name teach respect for each person’s choice of name which helps learners and educators honor their colleagues and students, resulting in greater respect and collaboration. Other options include The Shoe Game – Equity versus Equality (exploring the value of differentiation) and Pictures of Our Lives (sharing stories of our diverse experiences).
Students may also opt to use a Science Journal Quest to foster effective classroom talk together. Intentionally engaging with resources like the STEM Teaching Tool and others are small steps toward a much larger goal of equity and mindfulness in the classroom.
If we have the goal of building equitable learning communities, we are making a step in the right direction. In this way we are modeling for our students, our colleagues, and our community what it means to be kind and just, and maybe, just maybe, #choosingkindness will become a part of who we all are.
Edutopia has an article by Sarah Kesty about the use of the engineering design process to foster collaboration and kindness, called Social And Emotional Learning in Science Class. I found I was using this article to stimulate my thinking around this topic.
I also connected with a story from EdWeek which talked about some work a middle school was doing to really think about the whole child and find opportunities to integrate Social and Emotional Learning into what they were already teaching rather than have another siloed subject to teach. See: How One District Is Spreading Social-Emotional Learning Across All Its Schools.
Keeping SEL out front in science class
During this school year, I’m going to be thinking a lot about how we can keep social and emotional learning out front – something that’s always important for us to be thinking about. How can we make our children feel safe and yet very excited about learning? I think we need to remember that our children live in a world that can sometimes be very scary.
After writing and reflecting on this article, I see that the implementation and implications of the student-centered New Generation Science Standards offer us many avenues to help our students feel safe and enjoy learning again. I think the title of my next blog will be something like “How Phenomenon-Driven Instruction Can Make Our Classrooms More Equitable Places for Learning.” I believe by focusing on questions like this, we’ll find even more ways to incorporate social and emotional learning into our science classrooms.
**Interested in writing a guest blog for my site? Would love to share your ideas! Submit your post here.
Looking for a new book to read? Many stories from educators, two student chapters, and a student-designed cover for In Other Words.
It has been quite a year. Three books published this year, looking back to one year ago as I was writing all three, very different books at the same time. But the book In Other Words came to me as I was preparing to work on The Future is Now. It stemmed from a quote:
Teddy Roosevelt once said, “I am a part of everything I have read.” When I read his quote, it greatly resonated with me because of my love of quotes and the impact they can have in our lives. In Other Words is a book full of inspirational and thought-provoking quotes that have pushed my thinking, inspired me and given me strength when I needed it. The book shares stories around the importance of growing ourselves as educators, knowing our why, as well as learning from and embracing failures and taking risks with learning so we can become our best selves for those we lead and learn with.
There are stories shared by educators with different backgrounds and different perspectives. My own experiences and interpretations and the educator vignettes shared by my PLN (Personal or Professional Learning Network) will hopefully push your thinking, inspire you, and provide whatever it is that you need. My hope is that by sharing our stories, it will inspire you to share yours.
There were many people involved throughout this journey. I reached out to members of my PLN and friends to include as many educators and students as possible. I wanted to share more than just my story, but rather many stories and experiences. This book is one that can be read by anyone, not just people in education. There are many quotes, unique personal experiences, beautiful graphics and more.
About the book #Quotes4EDU
In this book, I share some of my experiences and reflections based on quotes. I have included the stories of different educators in the form of vignettes or guest chapters. One chapter was written by two of my students and my book cover was drawn by one of my 9th-grade students. The story behind the book cover is included at the beginning of the book. The book is available on Kindle or in paperback: bit.ly/Inotherwords A few of the stories are available for listening on Synth. gosynth.com/p/s/pyzbnm
Chapter Authors
Dennis Griffin
Maureen Hayes
Holly King
Elizabeth Merce
Melissa Pilakowski
Laura Steinbrink
Amy Storer
Donald Sturm
Cassy DeBacco
Celaine Hornsby
Vignettes
Marialice B.F.X. Curran
Jon Craig
Kristi Daws
Sarah Fromhold
Jeff Kubiak
Matthew Larson
Jennifer Ledford
Kristen Nan
Toutoule Ntoya
Paul O’Neill
Zee Ann Poerio
Rodney Turner
Heather Young
Graphics
Michael Mordechai Cohen
Dene Gainey
Manuel Herrera
Shelby Krevokuch
Amber McCormick
Dana Ladenburger
Heather Lippert
Scott Nunes
Chris Spalton
Tisha Richmond
Monica Spillman
Laura Steinbrink
Kitty Tripp
Julie Woodard
Learning as I go: Reflections & lessons learned 