Category Archives: EducatorCIRCLS

Learning from Gaming

by Sarah Hampton

In the previous post of this series, we explored why pedagogy really matters.

The more pedagogies we know → the more we can choose from → the more targeted we can make the approach to hit the learning goals → the better our students can learn

In this post, let’s see how pedagogy comes into play when incorporating educational games.

Consider two different game-based approaches I have used for a middle school physical science unit on chemical reactions. One year, I created a quiz show toward the end of the unit complete with teams and buzzers. The questions for the game came from the unit’s notes and textbook. Another year, I used a design competition in the middle of the unit in which students created the best reptile egg incubator by chemically engineering a heat pack with optimal amounts of calcium chloride, baking soda, and water. Which do you think was more effective?

That was actually a trick question. The answer should have been–more effective for what? If my learning goal was to promote low level recall of multiple concepts, then my quiz show was the better choice. If my learning goal was to promote collaboration, problem solving, and deep learning of fewer concepts, then the design competition was the hands down winner.

sentiment from Mike Sharples: Your pedagogy should be thoughtfully chosen based on what best supports your learning goal.Your pedagogy should be thoughtfully chosen based on what best supports your learning goal. That was my number one takeaway from our book study on Practical Pedagogy 40 New Ways to Teach and Learn. This applies to game-based learning like any other kind of learning. I like how author Mike Sharples explained it in our conversation with him last January.

The idea that pedagogy underpins effective games is also discussed in Motivating Children to Learn Effectively: Exploring the Value of Intrinsic Integration in Educational Games. The paper describes two different kinds of games. One type of game tacks fun onto learning like “chocolate covered broccoli.” (My quiz show is an example of this kind of gamification.) In contrast, intrinsically integrated games (like the incubator design competition):

  1. deliver learning material through the parts of the game that are the most fun to play, riding on the back of the flow experience produced by the game, and not interrupting or diminishing its impact and;
  2. embody the learning material within the structure of the gaming world and the player’s interactions with it, providing an external representation of the learning content that is explored through the core mechanics of the gameplay.

My students love learning through gaming. I bet yours do, too! Just remember–simply incorporating a game doesn’t mean your students will reach the learning goal. That depends on the underlying pedagogy. Evaluate potential games to see if the fun elements are sugar coating to make your learning goals more palatable or if the learning goals are intrinsically linked to the fun of the game.

You can find examples of games we like below. Do you already use effective games in your classes? Share them with us @EducatorCIRCLS!

Post Title and laptop
Intrinsically Integrated Educational Games
Crystal Island (middle school microbiology)
Geniverse (middle school/high school genetics)
Graspable Math (several different algebraic ideas)
eRebuild (middle school ratios and proportions)
Euclid the Game (geometry constructions)
Human Resource Machine (computational thinking)
Zoombinis (computational thinking)
Game Builder Garage (computational thinking Switch game)
Robot Turtles (computational thinking board game)
Lemonade Stand (entrepreneurship)
Institute of Play (multiple subjects and grade levels)
Absolute Blast (multiplayer math board game for grades 6-8)
Socratic Smackdown (discussion-based humanities game to practice argumentation)
Self on the Stand (middle school ELA)
Conditionals with Cards (elementary computer science)

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2019 STEM for ALL Video Showcase with image of youth in the background

Exploring the 2021 STEM For All Video Showcase

Featuring 287 short videos of federally funded projects aimed at improving STEM and Computer Science education, the 2021 STEM For All Video Showcase highlighted strategies to engage students and address educational inequities. The array of 3-minute videos showed the depth of work going on in the field to think about equity and social justice in the wake of COVID-19. Below are some favorites of our CIRCLS team that we hope you enjoy as well!

Co-Creating Equitable STEM Research Led by Communities
Contributed by Leah Friedman
This video features a project partnership between the Cornell Lab of Ornithology and community organizations around the country that are historically excluded from science research. Centering community wisdom and leadership, the group investigates the impact of noise pollution on public health in order to co-create appropriate solutions. This project is an amazing model of upending typical hierarchies of knowledge creation or control in STEM research, provides a really concrete framework for conducting research with community members, and exemplifies ‘broadening’ in every sense of the word.

Interest Stereotypes Cause Gender Gaps in STEM Motivation
Contributed by Judi Fusco
Thinking about stereotypical gendered messages that young children, older children, teens, and even adults receive about whether they belong somewhere is so important. These messages may be subtle, nuanced, and not intended, but they happen; we need to make sure we aren’t excluding anyone, especially without realizing it.

Activity for Stories of Algebra for the Workplace
Contributed by Jeremy Roschelle
What if every student could tell a story of how they’ll use math in the future career? Although this is just a beginning, it seems to me the technology for personalized AI-driven STEM storytelling will arise soon enough — and could help students create their own STEM identity.

You Deserve A Seat at The Table: The Data Economy Workforce
Contributed by Jonathan Pittman
This video features a project at Bethune Cookman University that uses an immersive game learning experience to help students gain 21st century digital workforce skills. Using gamified immersion is an excellent approach to build workforce skills and learn about the future of work.

Big Data from Small Groups: Learning Analytics and Adaptive Support in Game-based Collaborative Learning
Contributed by Dalila Dragnić-Cindrić
In this project, groups of up to four students work together in a 3D game-based environment called Crystal Island to solve complex eco-problems. A research team from Indiana University and North Carolina State University is investigating how students in small groups communicate and coordinate with each other when problem solving. Researchers used learning analytics to drive adaptive support.
The lead presenter is one of our Emerging Scholars, Asmalina Saleh. PIs are James Lester and Cindy Hmelo-Silver. CoPI is Krista Glasewski.

Activity for “WHIMC: Using Minecraft to Trigger Interest in STEM”
Contributed by Wendy Martin
If you are a fan of Minecraft or alternative histories you should check out H. Chad Lane’s video about his project: What-If Hypothetical Implementation in Minecraft (WHIMC). I enjoyed learning about how those researchers were encouraging students to create alternate worlds to help them better understand the phenomena that shape our own world.

To explore videos from past video showcases, visit the STEM For All Multiplex.

Reflections on Coded Bias

Coded Bias film ad Watch with us

“Algorithmic justice––making sure there’s oversight in the age of automation––is one of the largest civil rights concerns we have.”Joy Buolamwini

On May 3rd, 2021 Educator CIRCLS hosted a watch party for the film Coded Bias which highlights the incredible work being done by organizations, data scientists, and activists on an international scale. The film challenged our unconscious biases and encouraged us to listen to one another as we consider the ways that we interact with artificial intelligence (AI) on a daily basis. To begin with, the film made very clear the wide societal impacts, both positive and negative, of AI as well as the fact that AI algorithms can perpetuate biases. Given this, we believe it is essential to become more knowledgeable about AI so that we, as educators, can make informed decisions about AI. As we watched this film we considered and discussed the ethical implications that need to be fully investigated before new AI tools are adopted in our classrooms. This film also helped us see that we also need to investigate the people designing the AI and helped us arrive at some important questions that we need to be asking about AI.

Here are some questions:

  • How was the AI system designed, for classroom use or other situations? At what point are teachers brought in to make decisions about their students?
  • What data was used when the system was trained?
    • What groups of people were included during the testing process?
  • What data will be collected by the system and what will happen to that data if the tool is sold? Will it only be used for only the purpose specified? Are there any potential dangers to the students? Are there any potential dangers to the teachers who use the systems with their students?
    • Can students be identified from this data?
    • Can teachers be identified from this data?
    • Can this data be used to evaluate teachers’ performance (something that may not be specified by the system)?
  • How does the system interact with students, and can I give feedback to the system or override the decisions?

Another very important question but a difficult one to answer is: When this AI tool fails, how does it fail, and what are the consequences? While EdTech designers might not be able to accurately answer this question, you might be able to use it to start a conversation about the pitfalls of this particular piece of technology. It will also challenge EdTech designers to think about these difficult questions and engage the design process to adjust their product if needed. After all, starting these conversations about the ethics of AI and where its faults lie is our duty.

Sign up for the CIRCLS newsletter to stay updated on emerging technologies for teaching and learning and let us know what you think by tweeting @EducatorCIRCLS

Artificial Intelligence & Learning + Out of School Time Learning

by Merijke Coenraad

Tenth graders collaborate on an engineering project.

Tenth graders collaborate on an engineering project. Photo by Allison Shelley/The Verbatim Agency for EDUimages

Welcome back to our blog series on Ambitious Mashups! Today, we are going to focus on the use of Artificial Intelligence in Learning and mash it up with Learning in Out-of-school-time.

Artificial Intelligence and Learning. The most common technologies used within projects were (a) Intelligent tutoring systems, (b) machine learning, (c) speech, vision, and natural interactions, and (d) social robotics and avatars. While these were the most common technologies, many projects used a mashup of technologies and focused on how the technology could be used in new ways within the classroom to support learning. If you want to read more about the types of AI, we recommend the AI4K12 project and this poster thinking about 5 big ideas in AI as a starting point.

Need an example of what this looks like? Check out the Inq-Blotter project. It provides teachers with real-time tools that alert them to students’ science needs as they are learning. Students use the Inq-ITS platform that provides them inquiry science learning experiences through labs and simulations. In addition to providing the experiences, Inq-ITS is an intelligent tutoring system and is able to assess students in real-time. Inq-Blotter builds on these capabilities to send teachers messages relating to how students are doing so they are able to provide just-in-time support. Inq-Blotter provides teachers with the opportunity to gather formative assessment data and support quality inquiry learning. This ambitious project took multiple years of research and mashed up data science, assessment, science learning, and intelligent tutoring tools.

If you are interested in intelligent tutors that help you understand what your students know, you can also check out our post on ASSISTments, an intelligent tutor for math learning. You can also see our webinar that discusses both ASSISTments and Inq-ITS.

So, what does this mean for your classroom? Think about:
What technologies might lie ahead and how do you want to use them? What would an intelligent tutoring system or social robot look like in your classroom?
Are you interested in using an intelligent tutor like Inq-ITS or ASSISTments in your classroom now? What are the implications of using these technologies for your teaching and practices within the classroom?
How could these emerging technologies affect your classroom practices and pedagogy? How will you continue to promote equitable learning opportunities when using them?

Out-of-school-time Learning. While we discussed technology in a formal setting during the school day, Some of the projects also investigated learning with educational technology in out-of-school environments.

Mash-it! Let’s look at a project that ambitiously mashes using AI in out-of-school learning!

The Virtual STEM Buddies for Personalized Learning Experiences in Free Choice Informal Learning Settings project brings together museum learning with intelligent agent buddies to support students’ STEM learning at a children’s museum. The computerized character interacts with the child as they move through the museum and acts as both a meteor and a peer. The AI agent, aka the buddy, is able to give instructions based on teachable moments and help children to find exhibits that aren’t crowded. AI in this out-of-school setting can provide youth with plenty of opportunities to learn and make the most of their museum experience. This ambitious project brought together team members from multiple universities and the Children’s Museum of Atlanta to mash up intelligent tutors, STEM, and informal learning.

What do you think of the possibilities with AI? Tweet us @EducatorCIRCLS and tell us about your innovative technology use and stay tuned for future blogs in this series about CIRCL Ambitious Mashups.

Learning Environments Webinar Resources

Educators, Artificial Intelligence, and the Future of Learning

Watch the recording

Meet the practitioners:

Sarah Hampton
Middle and Secondary Math Teacher
Twitter: @S_W_Hampton

Sarah’s Statement on AI:
As a leader in Educator CIRCLS, and the wife of a programmer, it’s safe to say I’m somewhat of a technophile. I’m typically and happily an early adopter of ed tech. I’ve witnessed the positive difference the right technology under the right learning conditions can make, creating learning experiences that couldn’t be possible without it. Even so, my initial reaction to artificial intelligence (AI) in education was somewhere between skeptical and antagonistic. Like many teachers I’ve talked with, I’m concerned that using AI might weaken the human connection that’s so important for a healthy school environment. I’m concerned about equity and access issues around technology. I also have serious questions about my students’ privacy. While I remain concerned about these issues, as I started digging into what AI actually is (and isn’t), I’m also learning about the powerful new learning experiences that AI can create that aren’t possible without it. As AI continues to gain funding and attention, we teachers need to keep learning about it so we can offer our voices to the communities developing the tools they want us to use.

One particular paper has influenced me to keep participating in the conversation: Intelligence Unleashed: An argument for AI in education. Consider this:

teachers – alongside learners and parents – should be central to the design of AIEd tools, and the ways in which they are used. This participatory design methodology will ensure that the messiness of real classrooms is taken into account and that the tools deliver the support that educators need – not the support that technologists or designers think they need. Teachers who take part in these processes will gain increased technological literacy, new design skills, and a greater understanding of what AIEd systems can offer.

Luckin and colleagues also talk about the many other expertises involved in educational AIs such as anthropology, biology, computer science, linguistics, philosophy, psychology, neuroscience, sociology, and education. To her list, I would explicitly add the branches of social justice and ethics. For AI in education to be done well, we have to proceed with expert voices from each of these fields. It’s time for a serious risk/benefit conversation about the intended and unintended consequences. I can’t speak to the computer science or psychology aspects of an AI tool, but I have almost 15 years of practical experience with what does and doesn’t work in the classroom that I would like to contribute. For example, I’ve seen educational technology designers with good intentions offload too many pedagogical decisions to algorithms. When you haven’t been trained or had experience teaching, you may not fully understand which of those decisions are consequential for students. On the other hand, I’ve seen technologies developing in collaboration with teachers that improve the learning experience for students and teachers alike. Because specific AIs (like the ones currently being developed for classrooms) can be so powerful, the outcomes will certainly be high impact. It’s crucial that those impacts are positive for our students.

Read more of my thoughts on AI in education:

Diane W. Doersch
Director of Technology, Verizon Innovative Learning Schools at Digital Promise
Twitter: @DoerDi

Diane W. Doersch is the Director of Technology, Verizon Innovative Learning Schools at Digital Promise. Prior to serving at Digital Promise, she was a middle school classroom teacher, Director of Technology, then a Chief Technology and Information Officer for a large Wisconsin School district. With over 34 years in the field of education, Diane holds a BS in Elementary Education and a Masters Degree in Educational Technology. She serves as a CoSN (Consortium of School Networking) Board member and is CETL (Certified Educational Technology Leader) certified. She joined Digital Promise and the Verizon Innovative Learning Schools program to assist in closing the Digital Divide. All opinions expressed are her own and do not represent the stances of the organizations she serves.

Diane’s Statement on AI:
The addition of artificial intelligence (AI) into today’s society may have made our lives easier. Tasks that had previously taken a lot of time and human power to do have become increasingly easier and “just happen” with the addition of behind-the-scenes intelligence of AI. While I appreciate what AI has brought to our personal lives, as an EdTech leader, I continue to be cautious about how we incorporate artificial intelligence into what we do in our classrooms. School district decision-makers from the central office to the classroom level have a responsibility to become AI literate so they can ask discerning questions. We need to ask tough questions and explore topics surrounding student data privacy and security, ethics, and machine learning bias when it comes to AI. Thirty years in the future, I do not want a person to be held back by data that was collected and added to their profile as a student today. We need to ensure that we understand the implications of what we are doing at a societal level, before we implement technologies that may affect the futures of our students. I think the largest question we need to ask is, “If AI is the solution, what is the problem we are trying to solve?”

Favorite EdTech Organizations and their resources on AI:
CoSN (Consortium of School Networking) – Guidance on AI in the Classroom
Future of Privacy Forum – AI & Machine Learning

Coded Bias Watch Party: May 3, 2021

Coded Bias film ad Watch with us

“Our faces may well be the final frontier of privacy, but regulations make a difference. Congress must act now to uphold American freedoms and rights.” – Joy Buolamwini

Join us in celebrating Joy Buolamwini and the other genius women shining a light on the perils of AI in Coded Bias.
WHEN: May 3rd, 2021 6pm ET/ 3pm PT
WHERE: Teleparty (formally known as Netflix Party)
Please note: You need your own unique Netflix account, to join a Teleparty. Please reach out to us if this presents a difficulty for you.

Coded Bias highlights the incredible work currently being done by organizations, data scientists, and activists on an international scale. Please take the time to learn more about the organizations below and opportunities to join their current campaigns and volunteer your time to a cause worth fighting for.This film’s goal is to challenge our unconscious biases and listen to one another as the first step toward radical change. Learn more by reading this discussion guide.

We’re excited that you’ll be participating in our Coded Bias Watch Party! Here are some instructions on how to install Teleparty on to your computer and get streaming. Teleparty only works on Google Chrome, so if you need to download Google Chrome please do that first.

In Google Chrome, proceed with the following steps:
1. Visit https://www.netflixparty.com/ and click the red button at the top right that says “INSTALL TELEPARTY”.
2. Once you are redirected to the Chrome Web Store, click “Add to Chrome” to finish installing Teleparty.
3. After installing Teleparty, you should see the “TP” button next to your address bar. If you do not see the “TP” button: Click on the puzzle icon located next to the address bar and pin the “TP” button to your Chrome toolbar
4. Please check back here or the Educator CIRCLS twitter account on May 3rd, 2021 after 2:30pm PT for the party URL
5. To join a party, click on the party URL: https://www.tele.pe/netflix/04e0d04e56a966ab?s=s143
6. For additional help and concerns, feel free to visit https://www.netflixparty.com/support.

If this date and time does not work for you, consider hosting your own watch party and let us know about it by tagging Educator CIRCLS and using the #AIandEdu

Models for Science Learning: Answering the NGSS Call

By Korah Wiley
Korah Wiley is a learning sciences researcher at Digital Promise with over ten years of classroom teaching experience. Her prior work as a STEM researcher instilled a passion for making the STEM fields more accessible to students and educators.

As a student, I loved all the animal-related topics—topics about plants…not so much. When I became a biology teacher and got to the section on plant biology and photosynthesis in the curriculum I was using, I knew that I, like my students, would need to “hit the books”. However, I quickly found myself deep in the world wide web of teaching and learning resources available online, because I knew that reading a textbook was only going to take my understanding so far. To really understand the material deeply enough to teach it, I needed a multimedia resource. I searched high and low and finally found an animation of the process at a level of detail that would give me the confidence that I understood the process well enough to answer my students questions and support them in their learning process.

The learning process that I sought to engage my students in wasn’t the standard, memorize this information and take a test in a couple of weeks. Rather, it was the kind of learning called for by the Next Generation Science Standards (NGSS)—the three-dimensional integration type. At that time, the North Carolina School of Science and Mathematics was one of the lead state partner organizations for the development, adoption, and implementation of the NGSS. In preparation for the 2010-2011 school year, the science department dean shared the draft NGSS documents and essentially said, “This is the future of science learning and we will help lead the way.” So, as a department, we revised our current curriculum and instruction to align with the call of the NGSS to engage students in the practices of science and engineering with the goal of developing an integrated understanding of disciplinary core ideas and crosscutting concepts.

Finding this photosynthesis animation was great, because 1.) it helped me to understand photosynthesis better and 2.) I could use it to engage my students in the science practice of using a model to understand natural phenomena, particularly ones that are invisible to the naked eye. My students and I went on a journey inspired by the NGSS to learn more than just the what and why of photosynthesis, we were also learning the how. Learning how photosynthesis took place led us to an even more interesting question, what if? What if human cells could harness light and make energy? (It’s actually not as far-fetched as it sounds; Goodman & Bercovich, 2008.)

The question of “what if” led me down new paths when I joined a team to develop a middle school, STEM enrichment program for minoritized and first-generation, college-bound students, called Labs for Learning. What if we developed the program curriculum to engage the participants, rising 7th graders, in a rigorous learning experience, similar to the curriculum we developed to align with the NGSS? Would it be too much for students who were barely in middle school and in woefully under-resourced middle schools at that? Encouraged by the learning experiences we were supporting for our high school students, we took a chance!

I was responsible for teaching biology topics to the 7th graders, which, to my chagrin, included even more about plants! I relied on what I knew worked, the photosynthesis animation that was so helpful for me and my high school students. The animation, for all its awesomeness, was just out of reach for the middle school students, who were really intimidated by the names of the molecules and complexes. Wanting to figure out a way to still use the animation, (knowing that it could help them develop a deeper understanding of key concepts like energy and matter transformation), I told them to just focus on the process and ignore the names. (I figured if they understood the process then they could learn the names later.) This scaffolding ultimately led to physical reenactments of the process, where we turned the abbreviations of the molecule and complex names into initials of the characters. We all had a fantastic time, they all learned the process, and many were inspired to learn the full names of their characters. (It was so exciting to watch!)

These experiences stuck with me when I was deciding on my dissertation focus. In particular, there were three things that followed me into graduate school:

  1. the limited number of resources available to support secondary students in understanding the mechanism of biological phenomena,
  2. the deep capacity of middle school students for mechanistic reasoning, and
  3. the power of a well-designed animation to support robust learning for me and my students.

To help with these problems, I decided to create a photosynthesis animation that focused on the mechanism of photosynthesis such that middle school students (and their teachers) could develop the type of scientific and integrated understanding called for by the NGSS.

After making the animation, I embedded it into an online photosynthesis unit in the Web-based Inquiry Science Environment (WISE) to evaluate whether and to what extent it supported students to meet the NGSS performance expectation for photosynthesis (MS-LS1-6). I found that, similar to my Labs for Learning experience, middle school students are capable of understanding far more complex ideas than we give them credit for (publication under review). Even with as little starting knowledge as knowing the inputs and outputs of photosynthesis, namely that carbon dioxide and water go into the plant and sugar (glucose) and oxygen come out, they were able to learn the biochemical mechanism of the process. While the assessment boundary for the photosynthesis performance expectation states that assessment for the standard does not include the biochemical mechanism of photosynthesis, my findings along with those of numerous other studies say that the middle school students can handle it and can benefit from it in their future STEM learning (Ryoo & Linn, 2012; Russ et al., 2008; Krist et al., 2018). The framework documents for the NGSS, too, recognize the need for understanding mechanisms when developing and constructing scientific explanations (National Research Council, 2012). Answering the call of the NGSS and other ambitious science reform efforts to support students in developing integrated and multi-dimensional science knowledge requires an exploration of mechanisms.

Admittedly, deep exploration into unfamiliar topics is scary, especially as a teacher who is expected to know the answers. But what better way can a teacher support students in the learning process than if they join the process themselves? As the world changes, and learners can look in many places for answers, what they need is not the answer, they need a model of how to learn in a world where information abounds. Such a model will position students to know more than just the answers. They will know how to discover, how to use the wealth of resources available to them to find out. That’s what we can model for our students by learning with them.

At the rate that new information is being generated there is no way any one person can know everything. I suggest, find resources that push you to your edge and invite your students to also explore the edge of their knowledge and ability. You might not know the biochemical mechanism of photosynthesis, for example, but that’s okay, you can learn with them. Find a resource that helps you and scaffold it to help them. Doing so will model for your students how to move from not knowing to knowing a little more, and a little more.

When you do this, you can also help them understand why it matters, and more importantly, why it matters to you. Share with them what’s interesting about the topic to you. Invite them to explore their ideas and share their experience to find out why it matters to them. Position them as pioneers in a space that could make that knowledge worth knowing for someone else. Invite them into the world of imagination and what if; prompting them with, this is the current state but what could be?

These are just some of the learning adventures that you can take with your students. The NGSS is an invitation to deeper more meaningful discovery and learning, for the students as well as the teachers. Your students need a brave guide into the world of the unknown. If you can find resources that allow you to share that space with them, they will appreciate your guidance and example of how to learn throughout their life.

Now that I’ve done this work, I understand how exploring the mechanisms of different phenomena creates rich and transformative learning experiences for ourselves and our students. With the world moving and changing as fast as it is, we need to support students in learning as much as they can, which oftentimes is more than we think!

Acknowledgments. I need to note that the animation discussed here was created in collaboration with a multistakeholder design team, that included disciplinary experts, learning scientists, software developers, teachers and students. My dissertation work was funded by the National Science Foundation (DRL: 1418423; 1813713).

References:
Krist, C., Schwarz, C. V., & Reiser, B. J. (2018). Identifying essential epistemic heuristics for guiding mechanistic reasoning in science learning. Journal of the Learning Sciences, 28(2),
160–205. doi: 10.1080/10508406.2018.1510404

National Research Council. (2012). A Framework for K-12 Science Education: Practices, Crosscutting Concepts, and Core Ideas. Washington, D.C.: National Academies Press. doi: 10.17226/13165

Russ, R. S., Scherr, R. E., Hammer, D., & Mikeska, J. (2008). Recognizing mechanistic reasoning in student scientific inquiry: A framework for discourse analysis developed from philosophy of science. Science Education, 92(3), 499–525. doi: 10.1002/sce.20264

Ryoo, K., & Linn, M. C. (2012). Can dynamic visualizations improve middle school students’ understanding of energy in photosynthesis? Journal of Research in Science Teaching, 49(2), 218–243. doi: 10.1002/tea.21003

Culturally Sustaining Pedagogies in Hybrid/Virtual Teaching and Learning Environments

By Zelia Capitão-Tavares and Megan Pattenhouse

At Educator CIRCLS, we’ve been thinking a lot about Culturally Responsive Teaching (CRT) and most recently Culturally Sustaining Pedagogies (CSP). We had the opportunity to talk to teacher Zélia Capitão-Tavares, an HP Teaching Fellow to learn more about what CRT looks like in her classroom and what she learned from the transition to hybrid/virtual teaching. Zélia Capitão-Tavares is a Hybrid Teacher Digital Lead Learner (Elementary Teacher) in Toronto, Ontario. Here is what she shared.

How did you establish alliances in your learning partnerships with students and their families and what did that look like in an online/blended learning environment?

I continue to connect with families on a regular basis. For example, before school starts and after the first week of school I usually call all of my families for 15-minutes. Then, I call again after the first week in case parents have any questions. Since informal drop-ins are not available right now due to strict distancing protocols, I’ve been depending on digital surveys to learn about how parents get their children excited, how families work through challenges with their students, and other details. For example, in one interview, I learned from a parent that their child doesn’t like people touching their shoulder (due to issues with peripheral vision) as it startles them and they prefer not to be touched. This feedback from parents is invaluable as an educator and helps me create stronger partnerships with the student and the family.

I gather information about my students through a survey that includes standard questions like best contact information, preferred name, and also questions like what sparks their interest at home, what strengths do parent(s)/guardian(s) see and how their child overcomes challenges. For example, how do they work through their feelings, making a plan and following through or when a change in schedule happens, how might they react. By beginning to understand a bit about how the student deals with varying situations that may be amplified in a classroom setting (brick & mortar or virtual) I have better insights into how to program whole class or small group instruction. Another aspect of the survey is where parent(s)/guardian(s) share a bit about themselves and if/how they would like to support our class community. For example, would they like to volunteer for class activities, excursions, lead a mini workshop, share a life experience and so on.

How do you create a sense of trust and safety for your students and their families in an online/blended learning environment?

It’s all of the “human parts” with students and you can pick up on social cues face-to-face in a way you can’t when you’re online. This is harder when they’re online. Students are not their true selves when they’re sitting in front of the computer online with the camera off or on (seeing themselves on a screen for a prolonged period of time). In their own home you’re dealing with things beyond your control.

When they’re home, students are highly attuned with what’s going on around them. So, we start with cameras on, then turn them off for the duration of the lesson and wrap up by turning cameras back on. If students want to participate and answer a question they can turn their camera on if they are comfortable. That is working well in my classroom for now, especially because I know they’re giving me a carefully curated show in a way. Consider this since they are hyper aware of what they are sharing because their families are listening, something that is not part of their learning experience in a brick and mortar class setting.

How are you learning more about what would help your students feel safe and trusting from their perspective and experience in an online/blended learning environment?

Continuing to send letters, messages or emails to families and students to continue communicating appreciation, and informing everyone of upcoming class activities or events. One such opportunity was our STEM Kit project where each student had supplies delivered to their homes. In the letter I wrote:

I hope this mystery STEM Kit will bring a new adventure, spark creativity, innovation and that our class community is able to be a part of each other’s learning journey. When possible, join our scheduled class meet-up and drop-in sessions as we explore the mystery STEM Kit through experiential learning at-home. Together we will build our communication, problem solving, decision making and critical thinking skills.

This activity is an opportunity to build students’ global competence, enrich their learning, and social-emotional learning skills. These competencies foster deep learning through engaging experiential learning that incorporates creativity, inquiry, entrepreneurship, collaboration, leadership, communication, global citizenship, character, critical thinking and problem solving.

Example of a message personalized and sent to a student.

This is an example of a message about the STEM kit that I personalized and sent to a student.

How would you manage potential cultural conflicts around respect and trust in an online/blended learning environment?

I have worked through cultural conflicts in the online environment through conversations. When I was guiding students through their ideas and a discussion of Black Lives Matter movements, I knew parents were listening. After the lesson, I got questions from parents including “What do you mean hate is taught?” It’s a different thing when parents are listening to what I’m saying in the moment. In this case, I ended up having another mini-lesson with parents around these same topics. Parents are usually not in the classroom, and not present for these discussions. This was very difficult for me when I started teaching, but with experience, I’ve become very open to welcoming parents into my classroom as visitors. I can see why teachers would find this very challenging because you’re not just communicating with students, you’re communicating with anyone who is in the household.

In my class community, families are always welcome to share their skills and experiences with the students. So parents are used to coming in to share and stay for 15-minutes or half a day. The children really enjoy that and so do the parents.

In our class community we discuss how anti-racist education is not an event as we have ongoing discussions, access to resources and opportunities to ask questions. Throughout our school year we talk about how hate is taught within our environments and how we can engage in discussions with family and friends to acknowledge our privilege and how we must be an ally and speak up (with assistance from an adult as needed). With remote learning or virtual school we began to rely on using digital learning tools more and more to communicate our ideas, share thinking and ask questions.Flipgrid has been an effective tool for students to record responses that are moderated by the teacher. Students appreciate that there is a lot that can still be learned and they can be engaged in discussions happening in the world around us, locally and beyond, while we all practice physical distancing. Being able to find the words to share with family and friends about why they are taking part in local Black Lives Matter protests using digital tools was impactful

Another group that students were able to connect with during the COVID-19 pandemic is the McMurrich LGBTQ Connects Club. This is a student led initiative, and is inclusive for all students who identify as LGBTQ community members and their allies. The club’s purpose is to bring LGBTQ members together to promote awareness of impacting issues and prevent homophobic comments, behaviours and attitudes within the McMurrich community. An opportunity to reimagine the activities that normally happen at school was taking our face-to-face club and going online. This allowed us to provide a safe virtual space for students to share reflections, ask questions, connect and celebrate. Taking on discussions or issues as they arise as teachable moments is an opportunity to rethink practices and social norms to deconstruct the gender dichotomy. Our class community, friends, or however you choose to address your students, we provide a space for students to come together beyond the instructional day.

What routines/rituals have you found useful during distance learning for your student?

The use of digital learning tools for synchronous and/or asynchronous learning provided students with various entry points to share and demonstrate their learning as well as seek support and feedback. I am reminded of the impact of student voice and to advocate for my students by providing varying leadership opportunities. I was able to make use of digital tools like Flipgrid in providing a student with their own Topic (or Group) to support passion projects. One such example is using Flipgrid for students to share their screen and provide a detailed guided tour of each room in the Minecraft challenge, along with a few student designed how-to videos to show building or coding tips.

During the spring of 2020 this looked very different at different times. In wanting to respect the amount of time students are expected to be online, I had 30-minute synchronous meetings per week, and then focused on team meetings. I also had office hours and drop in sessions for students to access as needed. During that time I ended up being very busy and had two breakout rooms one with me and one with our teaching partner, Ms Taisley Isaac. Ongoing connections with families by reaching out at least once per week and sometimes twice per week with a phone call or a socially-distanced home visit. All students had a device even if it was the parents’ phone as they were awaiting a board device to be delivered to their home. During our scheduled or drop-in office hours, I was able to address a few barriers for students by doing things like scribing for them because it was hard for them to type their notes, for example, developing keyboarding skills or typing on their parents’ phone. My students would ask me to type for them and they knew they could have that 1:1 support with me during office hours. At the beginning of this crisis, it was valuable knowing that I already had an existing relationship with my students, but that would change in September 2020 with new students (30+) who I have never met and will need to forge this relationship with them due to pending school closures.

Teacher Support Webinar Resources

Educators, Artificial Intelligence, and the Future of Learning

Watch the recording.

Learn more about TeachFX:

Eduators, Artificial Intelligence, and the future of LearningVisions for how AI can support teachers and classrooms:

Meet the Practitioner Panelists:

Kip Glazer, Ed.D.
Principal, San Marcos High School, Santa Barbara, CA
Twitter: @kipglazer

Kip Glazer, Ed.D. is a High School Principal in Santa Barbara, CA. She had been a classroom teacher and technology coach prior to becoming a school administrator. She is a native of South Korea and moved to the United States as an adult. Her experience of being an immigrant who learned to speak English as an adult has shaped her personal and professional identity.
She has a doctorate in Learning Technologies from Pepperdine University. She is interested in all things technology and how they impact learning.

Kip’s Statement on AI:
As a literature lover, I am interested in the good, the bad, and the ugly side of technologies that have been extensively explored in science fiction. As much as I see the potential for incredible benefits of AI in the classrooms to support the teachers and students alike, I am equally concerned about its misuse by people whose intentions may not align with the mission of public education. I firmly believe that teachers and administrators must be provided with the right type of training to be able to support all our students, and we all have an important role to play when it comes to creating the future with AI.


Pati Ruiz, Ed.D.

Researcher, Digital Promise
Twitter: @pati_ru
Pati Ruiz is a researcher with the Learning Sciences Research team. Prior to joining Digital Promise, Pati spent 16 years as a high school computer science teacher, Spanish teacher, and K – 12 administrator. Pati has also taught public school leaders and pre-service teachers in both the U.S. and Mexico and helped design online learning experiences for computing and information technology faculty focused on diversifying undergraduate computing programs.

Pati’s Statement on AI:
As a former Spanish and computer science teacher, I think a lot about emerging technologies and how they apply in learning contexts. Recently, I have been focused on AI and how it affects students, their families, and communities. I am particularly interested in the consequences (intended and unanticipated) of these emerging AI technologies on historically excluded students, specifically Latinx, Black, Indigenous, and students with disabilities. Working with the Center for Integrative Research on Computing and Learning Sciences (CIRCLS), I have seen work ranging from Intelligent Tutors and systems designed to adapt and personalize learning, including some that are developing pedagogical agents and robots. I’ve also seen work that seeks to minimize bias and promote equity in AI, projects using computer vision, natural language processing and speech technologies. Of all of these efforts, I consider the work to promote equity and accountability in AI to be the most important and I created this list to focus on those issues.

Kelly Thomas
Special Education Teacher, Newport News School District (VA)

Kelly Thomas is currently a Special Education teacher in Newport News, VA. Previously, she worked as a Customer Operations Manager for Sentara Health Plan for ten years. Kelly also owned and operated her own daycare home for seven years which sparked her love of teaching. She started in elementary education as an instructional assistant before obtaining her Bachelor’s degree and teacher certification. She has been in education for more than twelve years in one capacity or another.

Kelly’s Statement on AI:
Before TeachFX, my direct instruction approach could be described as traditional, as it pertained to the ratio of teacher talk to student talk. I taught lesson content material and my students responded when asked to do so. Students were and still are encouraged to demonstrate lesson mastery in a “I do, We do, You do” gradual release method. The goal was and is for students to skillfully move from dependence to interdependence to independence. Now, thanks to Teach FX, my students feel more empowered to create and drive their learning experience. Teach FX has helped me become a skilled practitioner and/or facilitator towards that end. I now am aware of the ration between my teacher talk time and my student’s talk time. As a special education teacher, I am very aware of the importance of wait time, however I hadn’t considered that wait time occurs both after I speak as well as after my students speak. I am becoming more comfortable with periods of silence which used to be very uncomfortable for me. I find now that my students are more engaged with each other as well as myself! I love teaching and my students grow and thrive daily as they demonstrate their love of learning!

Assessment Webinar Resources

Educators, Artificial Intelligence, and the Future of Learning

Watch the recording.

AI products discussed:

Meet the Practitioner Panelists:

Aaron Hawn HeadshotAaron Hawn
Research Affiliate, The Penn Center for Learning Analytics
Co-Founder and Managing Member, Thirteen Ways Consulting, LLC
Twitter: @hawn_aaron

Aaron’s Statement on AI:

As a former teacher/testing administrator and current researcher, I see the potential for AI to rewire schools’ relationship with assessment and accountability, winning back time for instruction, trust in results, and opening new windows onto student skills. At the same time, I see that potential passing us by if teachers, education leadership, communities, and students are not engaged as partners from the start, designing AI tools for how real classrooms work and towards impacts that matter.

Nancy Foote HeadshotNancy Foote
Conceptual Physics Teacher,
Higley Unified School District (AZ)
Twitter: @MrsFoote

Nancy Foote, MEd, is currently a Conceptual Physics teacher in Gilbert AZ. She worked as an Industrial Chemist for the Sherwin Williams Company before obtaining her Master’s degree and teacher certification. Nancy has been in education for more than 30 years as a teacher, principal, staff development coordinator, teacher on special assignment. and curriculum coach. A National Board Certified Teacher, Nancy is also a recipient of the Presidential Award for Excellence in Mathematics and Science Teaching.

Nancy’s Statement on AI:

Before I met Inq-ITS, and through them AI, I was floundering in the dark. I was trying to grade hundreds of lab reports, trying to determine who understood what, how to intervene when necessary, and how to help my students think like scientists. That wasn’t even taking the quality of the writing into consideration. Now, thanks to Inq-ITS and their masterful use of AI, I can be a teacher again. I can intervene at the perfect time. I can help students exactly when they need it with the intervention that they need. I have become a mind reader. Most importantly, my students are thinking like scientists.