Tag: digital citizenship

Revolutionizing K-12 Education: The Role of Generative AI Tools

a close up shot of letter dice
Photo by Nataliya Vaitkevich on Pexels.com

The world of education, specifically K-12, is on the brink of a significant transformation. The catalyst? Generative AI tools. These tools, such as Large Language Models (LLMs) and ChatGPT, are heralding a new era of automation, promising to reshape how we approach administrative and teaching tasks in schools.

Generative AI tools are a generational leap in what we can automate with software. They are not just about replacing human effort but also about creating entirely new kinds of automation. The potential impact on jobs and people is profound, and the pace of change is rapid. For instance, ChatGPT has already amassed over 100 million users in just six months.

The world of education is no stranger to automation. Over the past two centuries, we’ve seen waves of automation that have eliminated certain jobs while creating new ones. This process, while sometimes disruptive, has ultimately led to increased prosperity and efficiency.

For school administrators and teachers, generative AI tools could automate many tasks, freeing up time for more strategic and student-focused activities. For example, these tools could automate administrative tasks such as scheduling, record-keeping, and communication with parents. They could also assist teachers with tasks such as grading, lesson planning, and even providing personalized learning support for students.

However, the adoption of these tools is not without challenges. The tools that people use to do their jobs are complicated and very specialized, embodying a lot of work and institutional knowledge. Replacing or automating any of these tools and tasks is not trivial. There’s a huge difference between an amazing demo of a transformative technology and something that a big complicated organization can use.

Moreover, while generative AI tools can answer ‘anything’, the answer might be wrong. They are not databases but pattern matchers. They can produce answers that fit the pattern of the question but may not be factually correct. This means that while they can automate many tasks, their outputs still need to be checked.

Despite these challenges, the potential benefits of generative AI tools in K-12 education are immense. They could lead to more efficient administration, more personalized learning, and ultimately, better educational outcomes for students. However, it’s important to remember that these tools are not a magic bullet. They are just another wave of automation, and their successful implementation will require careful planning, training, and adjustment.

In conclusion, generative AI tools hold great promise for automating tasks in K-12 education. However, their adoption will require careful planning and a clear understanding of their capabilities and limitations. As with any new technology, the key to success will be in how well we integrate these tools into our existing systems and processes, and how well we adapt to the new ways of working they enable.

FAQ

  1. What is generative AI? Generative AI, including Large Language Models (LLMs) and ChatGPT, represents a significant change in what we can automate with software. It’s not just about replacing human effort but also about creating entirely new kinds of automation.
  2. How fast is the adoption of generative AI tools like ChatGPT? The adoption is happening very rapidly. For instance, ChatGPT has amassed over 100 million users in just six months.
  3. What is the potential impact of generative AI on jobs? Generative AI tools have the potential to automate many tasks, which could lead to job displacement. However, similar to previous waves of automation, they could also create new types of jobs.
  4. What challenges are associated with the adoption of generative AI tools? The tools people use to do their jobs are complicated and very specialized, embodying much work and institutional knowledge. Replacing or automating any of these tools and tasks is not trivial. Additionally, while generative AI tools can answer ‘anything,’ the answer might be wrong as they are not databases but pattern matchers.
  5. What is the potential of generative AI tools in the education sector? In the education sector, generative AI tools could automate many administrative tasks and assist teachers with tasks such as grading, lesson planning, and even providing personalized learning support for students.
  6. What is the future of generative AI tools? The future of generative AI tools is likely to involve more automation, but also more integration with existing systems and processes. Their successful implementation will require careful planning, training, and adjustment.
  7. What is the ‘Lump of Labour’ fallacy? The ‘Lump of Labour’ fallacy is the misconception that there is a fixed amount of work to be done and that if a machine takes some work, there will be less work for people. However, if it becomes cheaper to use a machine to make, say, a pair of shoes, then the shoes are cheaper, more people can buy shoes, and they have more money to spend on other things besides, and we discover new things we need or want, and new jobs.
  8. What is the Jevons Paradox? The Jevons Paradox suggests that as technological progress increases the efficiency with which a resource is used, the total consumption of that resource may increase rather than decrease. This paradox has been applied to white-collar work for 150 years.
  9. What is AGI (Artificial General Intelligence)? AGI refers to a type of artificial intelligence that is as capable as a human at any intellectual task. If we had AGI, it could potentially change everything, including overriding all the complexity of real people, real companies, and the real economy. However, as of now, we do not have AGI, and without that, we have only another wave of automation.
  10. How can generative AI tools help in personalized learning? Generative AI tools can provide personalized learning support for students by adapting to each student’s learning style and pace. They can provide additional explanations, practice problems, and feedback, making learning more effective and engaging.
  11. Can generative AI tools replace teachers? While generative AI tools can assist with tasks such as grading and lesson planning, they are not a replacement for teachers. Teachers play a crucial role in motivating students, managing the classroom, and providing emotional support, among other things. These are aspects that cannot be automated.
  12. What is the role of generative AI tools in administrative tasks? Generative AI tools can automate administrative tasks such as scheduling, record-keeping, and communication with parents. This can free up time for school administrators to focus on more strategic tasks.
  13. What is the difference between a database and a pattern matcher in the context of generative AI tools? While databases store and retrieve factual information, pattern matchers, like generative AI tools, generate responses based on patterns they’ve learned from data. This means they can produce answers that fit the pattern of the question but may not be factually correct.
  14. What is the importance of careful planning and training in adopting generative AI tools? The successful implementation of generative AI tools requires careful planning and training. This is because these tools must be integrated into existing systems and processes, and users need to understand their capabilities and limitations.
  15. What does it mean that generative AI tools are not a magic bullet? This means that while generative AI tools hold great promise, they are not a solution to all problems. Their successful implementation will require careful planning, training, and adjustment. They are just another wave of automation, and their impact will depend on how well we adapt to the new ways of working they enable.
  16. What is the potential impact of generative AI tools on educational outcomes? By automating administrative tasks and assisting with teaching tasks, generative AI tools could lead to more efficient administration, more personalized learning, and, ultimately, better educational outcomes for students.

Thanks for taking the time to read this post. If you’ve enjoyed the insights and stories, consider showing your support by subscribing to my weekly newsletter. It’s a great way to stay updated and dive deeper into my content. Alternatively, if you love audiobooks or want to try them, click here to start your free trial with Audible. Your support in any form means the world to me and helps keep this blog thriving. Looking forward to connecting with you more!

Rethinking AI in Education: The Unintended Consequences of AI Detection Tools

crop faceless diverse male colleagues working on netbooks in office
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In the rapidly evolving world of artificial intelligence (AI), we are constantly faced with new challenges and ethical dilemmas. One such issue has recently been brought to light by a study published in The Guardian. The study reveals a concerning bias in AI detection tools, particularly against non-native English speakers.

These AI detection tools are designed to identify whether a piece of text has been written by a human or generated by an AI. They are increasingly being used in academic and professional settings to prevent what some consider a new form of cheating – using AI to write essays or job applications. However, the study found that these tools often incorrectly flag work produced by non-native English speakers as AI-generated.

The researchers tested seven popular AI text detectors using 91 English essays written by non-native speakers. Over half of these essays, written for the Test of English as a Foreign Language (TOEFL), were incorrectly identified as AI-generated. In stark contrast, when essays written by native English-speaking eighth graders in the US were tested, over 90% were correctly identified as human-generated.

The bias seems to stem from how these detectors assess what is human and what is AI-generated. They use a measure called “text perplexity”, which gauges how “surprised” or “confused” a generative language model is when trying to predict the next word in a sentence. Large language models like ChatGPT are trained to produce low perplexity text, which means that if humans use a lot of common words in a familiar pattern in their writing, their work is at risk of being mistaken for AI-generated text. This risk is greater with non-native English speakers, who are more likely to adopt simpler word choices.

The implications of these findings are serious. AI detectors could falsely flag college and job applications as AI-generated, and marginalize non-native English speakers on the internet, as search engines such as Google downgrade what is assessed to be AI-generated content. In education, non-native students bear more risks of false accusations of cheating, which can be detrimental to a student’s academic career and psychological well-being.

In light of these findings, Jahna Otterbacher at the Cyprus Center for Algorithmic Transparency at the Open University of Cyprus suggests a different approach. Instead of fighting AI with more AI, we should develop an academic culture that promotes the use of generative AI in a creative, ethical manner. She warns that AI models like ChatGPT, which are constantly learning from public data, will eventually learn to outsmart any detector.

This study serves as a reminder that as we continue to integrate AI into our lives, we must remain vigilant about its potential unintended consequences. It’s crucial that we continue to question and scrutinize the tools we use, especially when they have the potential to discriminate or cause harm. As we move forward, let’s ensure that our use of AI in education and other sectors is not only innovative but also fair and ethical.

For more details, you can read the full article here.

Thanks for taking the time to read this post. If you’ve enjoyed the insights and stories, consider showing your support by subscribing to my weekly newsletter. It’s a great way to stay updated and dive deeper into my content. Alternatively, if you love audiobooks or want to try them, click here to start your free trial with Audible. Your support in any form means the world to me and helps keep this blog thriving. Looking forward to connecting with you more!

5 Questions Students Should Ask About AI-Generated Content

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Photo by Andrew Neel on Pexels.com

Do your students enjoy interacting with AI chatbots? Are they fascinated by the idea of AI-generated content, such as articles, poems, or even code? Do you want to help your students learn how to discern the difference between human and AI-generated content? If you answered yes to any of these questions, consider integrating AI literacy education into your lessons.

AI literacy expands traditional literacy to include new forms of reading, writing, and communicating. It involves understanding how AI systems work, how they generate content, and how to critically evaluate the information they produce. AI literacy empowers people to be critical thinkers and makers, effective communicators, and active citizens in an increasingly digital world.

Think of it this way: Students learn print literacy — how to read and write. But they should also learn AI literacy — how to “read and write” AI-generated messages in different forms, whether it’s a text, an article, a poem, or anything else. The most powerful way for students to put these skills into practice is through both critiquing the AI-generated content they consume and analyzing the AI-generated content they create.

So, how should students learn to critique and analyze AI-generated content? Most leaders in the AI literacy community use some version of the five key questions:

  1. Who created this AI model? Help your students understand that all AI models have creators and underlying objectives. The AI models we interact with were constructed by someone with a particular vision, background, and agenda. Help students understand how they should question both the messages they see, as well the platforms on which messages are shared.
  2. What data was used to train this AI model? Different AI models are trained on different datasets, which can greatly influence their output. Help students recognize how this often comes in the form of new and innovative techniques to capture our attention – sometimes without us even realizing it.
  3. How might different people interpret this AI-generated content? This question helps students consider how all of us bring our own individual backgrounds, values, and beliefs to how we interpret AI-generated messages. For any piece of AI-generated content, there are often as many interpretations as there are viewers.
  4. Which lifestyles, values, and points of view are represented — or missing? Just as we all bring our own backgrounds and values to how we interpret what we see, AI-generated messages themselves are embedded with values and points of view. Help students question and consider how certain perspectives or voices might be missing from a particular AI-generated message.
  5. Why is this AI-generated content being produced? With this question, have students explore the purpose of the AI-generated content. Is it to inform, entertain, or persuade, or could it be some combination of these? Also, have students explore possible motives behind why certain AI-generated content has been produced.

As teachers, we can think about how to weave these five questions into our instruction, helping our students to think critically about AI-generated content. A few scenarios could include lessons where students interact with AI chatbots or any time we ask students to create AI-generated projects. Eventually, as we model this type of critical thinking for students, asking these questions themselves will become second nature to them.

Thanks for taking the time to read this post. If you’ve enjoyed the insights and stories, consider showing your support by subscribing to my weekly newsletter. It’s a great way to stay updated and dive deeper into my content. Alternatively, if you love audiobooks or want to try them, click here to start your free trial with Audible. Your support in any form means the world to me and helps keep this blog thriving. Looking forward to connecting with you more!

A comprehensive AI policy education framework for university teaching and learning

The study titled “A comprehensive AI policy education framework for university teaching and learning” aims to develop an AI education policy for higher education by examining the perceptions and implications of text-generative AI technologies. The research collected data from 457 students and 180 teachers and staff across various disciplines in Hong Kong universities, using both quantitative and qualitative research methods. Based on the findings, the study proposes an AI Ecological Education Policy Framework to address the multifaceted implications of AI integration in university teaching and learning. This framework is organized into three dimensions: Pedagogical, Governance, and Operational. The Pedagogical dimension focuses on using AI to improve teaching and learning outcomes, while the Governance dimension tackles issues related to privacy, security, and accountability. The Operational dimension addresses matters concerning infrastructure and training.

The framework fosters a nuanced understanding of the implications of AI integration in academic settings, ensuring that stakeholders are aware of their responsibilities and can take appropriate actions accordingly. The study highlights the importance of students playing an active role in drafting and implementing the policy. The research also addresses the growing concern in academic settings about the use of text-generative artificial intelligence (AI), such as ChatGPT, Bing, and the latest, Co-Pilot, integrated within the Microsoft Office suite. The study found that nearly one in three students had used a form of AI, such as essay-generating software, to complete their coursework. This has led to calls for stricter regulations and penalties for academic misconduct involving AI. Read the full study here.

Teaching AI Ethics

Leon Furze’s blog post titled “Teaching AI Ethics: The Series” presents a comprehensive guide to understanding and teaching the ethical implications of Artificial Intelligence (AI). The series, initially a single post, has been expanded into nine detailed posts, each focusing on a unique ethical concern related to AI, including bias, discrimination, environmental issues, truth and academic integrity, copyright, privacy, datafication, emotion recognition, human labor, and power structures.

Designed primarily for K-12 education but also applicable to tertiary-level discussions, each post provides case studies, discussion questions, and lesson ideas to facilitate a deeper understanding of these complex issues. The aim is to equip students with the necessary knowledge to navigate the ethical landscape of AI in an increasingly digital world.

Thanks for taking the time to read this post. If you’ve enjoyed the insights and stories, consider showing your support by subscribing to my weekly newsletter. It’s a great way to stay updated and dive deeper into my content. Alternatively, if you love audiobooks or want to try them, click here to start your free trial with Audible. Your support in any form means the world to me and helps keep this blog thriving. Looking forward to connecting with you more!

Students need freedom to develop critical skills with edtech

My first question when working with teachers and the technology they have available in their classrooms is, “what do you want the kids to create?”

And when we look at the 4 Shifts protocol, this question from the technology infusion section is also essential:

Does technology add value so that students can do their work in better or different ways than are possible without technology?

– 4 shifts protocol

When students can use technology to create, I hope they have been equipped with the necessary training to use that technology effectively. Otherwise, there’s trouble.

I’ve come to the realization that technology will have its greatest impact in the classroom when educators allow learners to use digital technology as a self-directed learning tool. This means not just providing students with laptops and online resources, but ensuring they have the necessary skills to find, validate, apply, and curate the vast amount of information now available to them.

Rick Cave, eSchool News

How the 4 Shifts Protocol Supports Teachers in Providing Deeper Learning Opportunities for Students

I’ve had the pleasure of working with a small cohort of teachers this year to redesign lessons for deeper learning opportunities. I called it the “Future Shift Fellowship” for two reasons: 1) I hoped that this group would begin moving our district into the future by focusing on student-centered lesson design and 2) we would be using the 4 Shifts protocol to guide our work.

To say that I’m pleased with what we’ve done this year would be an understatement. Each of the members of the cohort has stepped far beyond their comfort zone with their work. And, if you asked their students, I’m sure you’d hear how much they appreciate the opportunities for learning.

But you may be asking why we used the 4 Shifts for this work?

I’m happy to explain…

Whenever I work with teachers, my number one thought is that whatever we do together must be easy to implement. Teachers have little or no time to spend on new strategies or techniques in the classroom once the school year begins. Their days are filled with so many tasks beyond just those of teaching students that it’s difficult to squeeze in learning, even when there are demonstrable benefits to that learning.

So, any changes must be easy to make. Also, if the changes made can provide a visible impact on student learning, whether that be in the form of student engagement, assessment, or simply just changing how students talk about learning and school, then the changes are worth the time.

These two reasons above all others are why I chose to use the 4 Shifts protocol to guide the work of our fellowship.

The 4 Shifts Protocol, designed by Scott McLeod and Julie Graber, is a comprehensive framework that aims to help educators transition from traditional teaching methods to more modern, student-centered approaches that promote deeper learning opportunities. The protocol focuses on four key shifts: deeper thinking and learning, authentic work, student agency and personalized learning, and technology infusion.

  1. Deeper Thinking and Learning: This shift encourages teachers to design activities that require students to engage in higher-order thinking skills, such as analysis, evaluation, and creation, rather than just memorization and recall. By doing so, students develop critical thinking abilities and become more adept at problem-solving and decision-making.
  2. Authentic Work: The protocol emphasizes the importance of connecting classroom activities to real-world situations and contexts. This shift encourages teachers to create tasks with a genuine purpose, audience, and impact beyond the classroom, fostering relevance and meaningful student learning experiences.
  3. Student Agency and Personalized Learning: This shift focuses on providing opportunities for students to take ownership of their learning and make choices about what and how they learn. Teachers are encouraged to create learning environments that support individual learning preferences and needs, allowing students to progress at their own pace and follow their interests.
  4. Technology Infusion: The protocol recognizes the power of technology in enhancing learning experiences and facilitating the other three shifts. Teachers are encouraged to integrate technology tools and resources into their instruction, allowing students to access information, collaborate with peers, and demonstrate their learning in innovative ways.

By implementing the 4 Shifts Protocol, teachers can create more engaging and meaningful learning experiences for their students, fostering a deeper understanding and long-lasting knowledge. This approach prepares students for success in the modern world and cultivates a love for learning and a growth mindset.

Does the 4 Shifts protocol answer all the questions? Of course not. In fact, sometimes you have more questions than you started with after working through the protocol. This is why it is key to only focus on one of the shifts at a time when redesigning your lessons.

You could change a lesson to the super ultimate checks all-the-boxes learning experience in one go, but you and your students would likely be so exhausted and confused from all the changes that any benefit would be lost.

But, the protocol gives you the structure to make small changes to your lessons, whether you are a classroom teacher or an instructional coach working with teachers to make the changes.

I can’t think of a better tool to use to begin moving toward more student-centered learning.

Thanks for taking the time to read this post. If you’ve enjoyed the insights and stories, consider showing your support by subscribing to my weekly newsletter. It’s a great way to stay updated and dive deeper into my content. Alternatively, if you love audiobooks or want to try them, click here to start your free trial with Audible. Your support in any form means the world to me and helps keep this blog thriving. Looking forward to connecting with you more!

Long Live the Public Domain

This is a preview of my Friday “10 Things” newsletter. Friday editions are free for everyone.

Welcome back, my friends, to the show that never ends.

It’s the first week of January which means here in the US, the public domain was just infused with all sorts of new (old) content. Included this year are the later Sherlock Holmes publications (YES!) and Metropolis, an early film of art deco dystopia.

Millions of documents, images, and other media now live in the public domain, making them freely available to anyone. We can use those works as inspiration for creating our own, standing on the shoulders of giants, and bringing our own creative ideas into the never-ending mix.

As such, here are some things on content, creation, and the public domain that I thought were pretty awesome.

10 Cool Things Worth Sharing

  1. Everything that enters the public domain in 2023 (and some ideas on how you might use them in schools)

To read the rest, subscribe to my Friday “10 Things” newsletter.

What Will We Do with AI Tools in Education?

The buzz around AI writing tools continues in the education world. Of course, there are several AI tools that we’re already using, whether in the classroom or not. We were using AI tools long before anyone thought about them invading our classrooms, but we didn’t think they had classroom applications.

But none have gotten the coverage that ChatGPT has gotten since its launch on 30 November 2022.

I fear that the first response many educators will have is, “we have to block it right now.”

I understand teachers’ very valid concerns about any new technology tool, but blocking is horribly inefficient and the equivalent of burying our heads in the sand.

As tools proliferate, they become more and more difficult to block School IT departments get enough of these types of requests already, and in most cases, blocking one site only leads to students finding ten more that offer them the same access.

It’s not that I don’t think we need to have good conversations about the responsible usage of tools like ChatGPT. Without rails to guide the path, there is a strong possibility of misuse or poor usage. If there was ever a time when we needed more focus on digital citizenship and media literacy, I can’t think of one.

But we can talk about responsible usage of any tool in the classroom. The concept isn’t new. Before we had Google Docs, kids passed notes in class. The pen was once accused of the oncoming downfall of the education system.

How many times have you had to prevent your classroom from being invaded by ruler helicopters? Abusing tools in the classroom or, perhaps more correctly, using tools to avoid boredom in the classroom is nothing new.

So what do we do with new tools that are certain to disrupt the status quo?

My hope is that more of us have this outlook on new tools available to use in schools:

Obviously, our classroom activities should challenge students to do more than regurgitate information. We should challenge students to create from their imagination.

We must strive for deeper learning in every classroom in every school.

If teachers design student-centered learning experiences that allow students to write with support in class, ChatGPT won’t be nearly as disruptive as some articles claim.

Catlin Tucker

We should provide opportunities that stimulate their brain and make neural pathways come alive with dancing dreams of great design.

When we don’t embrace new technologies, we deny students options. We prevent them from learning about how their world is changing.

I love me some disruptive technology. There’s no point in beating our chest about how technology x has made y obsolete. The business world can not ignore disruptive technology or they will go out of business. As educators we are in the business of preparing students for THEIR future. The future for students includes AI (Artificial Intelligence).

– Alice Keeler

But not only do we prevent students from experiencing new tools that can be very useful in their lives, but we also overlook what we, as teachers, can use these tools for to make our lives easier.

The emergence of AI education disruptors like ChatGPT reveal the need for more diverse teaching models. The COVID-19 pandemic was a catalyst, spurring teachers and administrators into action. We can’t return to “normal school” any more than we can ignore new educational advancements.

We must embrace change. We can’t move forward without it.

How Disruptive Will ChatGPT Be?

I introduced Minecraft: Education Edition to my school district last school year and made the statement in a school board presentation that it was likely the most disruptive tool I’d brought to the district.

But ChatGPT? Oh my. I hope it breaks more barriers and causes more people to rethink daily what they do in classrooms. We already know (or we should know) that students will use AI tools to write papers. I hope educators use it, and many other technologies, to completely redesign education for the future.

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What is a Hyperdoc?

The reason HyperDocs work is because each one begins with strong lesson design, curates quality instructional content, and packages learning in a way that engages learners. A HyperDoc shifts the focus from teacher-led lectures to student-driven, inquiry-based learning, allowing students to actually learn through exploration.

– The HyperDoc Handbook

HyperDocs are an emerging tool in education. They offer teachers an effective way to design and deliver interactive lessons that keep students engaged, organized, and on-task. But what exactly is a HyperDoc? What are the benefits of using them in the classroom? And how can they be used to improve student engagement and understanding?

What is a HyperDoc?

Developed in 2016 by Lisa Highfill, Kelly Hinton, and Sarah Landis, Hyperdocs are a digital lesson hub designed by teachers and given to students.

A HyperDoc is an interactive document created by teachers to provide students with an engaging learning experience. A HyperDoc is a digital document, accessible through any number of devices, that contains all the components of a learning cycle in one place. Within the document, students can find hyperlinks to all the resources they need to complete the learning cycle.

The earliest known example of a “digital lesson hub” was WebQuest, which used only online resources to guide students through a lesson.

This makes it easy for teachers to monitor student progress without searching multiple documents or websites. It also provides students with a clearly defined structure to which they can refer back as needed.

Benefits of Using HyperDocs in the Classroom

HyperDocs have several key advantages over traditional paper-based documents or worksheets.

First, they allow teachers to easily incorporate multimedia elements such as videos, audio clips, images, or animations into their lessons. Whatever resources students need for the lesson can easily be linked or embedded into the Hyperdoc.

Second, they give teachers the flexibility to offer extra support for students or enrichment opportunities for others. Since the hyperdoc is digital, teachers can easily use a template to differentiate instruction.

Lastly, Hyperdocs make it easier for students to collaborate with each other as well as stay organized throughout the lesson plan.

How Can HyperDocs Be Used to Improve Student Engagement and Understanding?

HyperDocs can be used in many different ways to help improve student engagement and understanding in the classroom. For example, teachers can use them to create virtual field trips by incorporating videos and other multimedia elements into their lessons. They can also use them for project-based learning activities by having students work together on a single document instead of individual worksheets or projects. Finally, they can use them as online portfolios where students can showcase their work and reflect on their progress throughout the course of the year.

HyperDocs are quickly becoming popular among educators due to their flexibility and ease of use. They make it easier for teachers to organize their lessons and provide students with an engaging learning environment that encourages collaboration and critical thinking skills while helping them stay on track with their assigned tasks. Ultimately, using HyperDocs in your classroom will help you save time and help your students become more engaged learners who understand the material better than ever before!

More HyperDocs Resources:

The HyperDocs Handbook

How HyperDocs Can Transform Your Teaching

9 reasons why HyperDocs can transform your class

How HyperDocs Can Make Schoolwork More Student Friendly