At the Literacy Research Association meeting in Arizona, I attended a session on Climate Justice (ecology and literacy). A few weeks later, I am spending time with colleagues Kimberley D'Adamo and Laurie Rich, imagining how we can support educators in fostering processing climate learning through art making. the most visible part of the work is the website Art/Act: Educate. This website includes a collection of artists creating environmental art that is attentive to both local conditions and the overall ecological challenge.
One such artist is the indefatigable Leah Wilson, whose amazing work spans many visual approaches and ecosystems. We are dreaming of supporting educators (in the broadest sense possible) interested in developing art projects addressing environmental concerns and celebrations. Our goal is to increase environmental awareness and give rise to two generations. The first is a generation of educators who help students process the challenge productively and innovatively. The second is creating a generation of youth better equipped to face environmental concerns through art and a deeper understanding of science and the human impact of the challenge we face as a species.This blog focuses on ways that art, technology, and literacy can interact in all educational settings.
Sunday, January 8, 2023
Tuesday, January 3, 2023
Happy New Year- New Ventures
The last few months have been extremely busy, and I had fewer opportunities to blog. As the new year commences, I am sharing of our new projects for 2023. This time I would like to focus on our podcasts/ video series coming.
Nick Husbye and I started a podcast for Graduate Students, and junior faculty in Education called "Not that Kind of Doctor. You can find it on YouTube, Apple Podcasts, and Spotify.
The ART TEAMS project Podcast has lunched at the beginning of December:
Tech EDGE in collaboration with the Nebraska Department of Education will launch a series of video podcasts with Chrystal Liu on integrating technology in the World Language Classroom. YouTube, Apple Podcasts, and Spotify. You can catch it here: https://www.youtube.com/@techedge01 episodes start February 1.
Drop me a line with any feedback on the main issues.
Friday, December 9, 2022
Art TEAMS Successes and Lessons in Year 1
Many teachers have shared that the program is helping them reconnect to teaching, combat burnout, and feel rejuvenated. In their feedback and reflections, they attribute this to:
Monday, November 14, 2022
Art TEAMS Path to Emerging Media Arts
What did I learn from our current exhibitions of learning:
1. Trust the process. If we provide choices, options, and tools, inquisitive, creative minds will get there independently. Since the path is natural and unforced it will also become more organic.
2. Trust your colleagues. When knowledgeable others lead, just let the process unfold.
3. Trust your participants /co-researchers. If there is a path, providing opportunities will let creative minds find it.
4. Letting the process unfold over time. We are so used to reaching objectives at the end of a lesson or a week. But the most complex skills and expressions of learning just take much longer to percolate and bubble up.
Sunday, October 2, 2022
Learning Analytics, Validity, and Theory
This week I participated in the inaugural FLAIEC conference. It was a delightful opportunity to talk with various researchers at different levels and years of experience.
The keynote speakers, who are leaders in the field, have called for a more critical approach to examining the validity of the different indicators.
Dragan Gašević in his opening keynote, outlined the opportunities and challenges for the advancement of validity of measurement in learning analytics. While Dirk Ifenthaler called for careful processing of the existing literature in an effort to build a valid set of meaningful indicators.This topic has been central to our group's work. We have long discussions about ways to validly connect the digital traces of learning with reasonable assumptions. The most significant aspect of validity is a robust theoretical set of assumptions. A theory or framework should not be assumed to be infallible. In fact, I believe that we can use our data to confirm or challenge existing theories to develop a better understanding of human learning.
The abundance of data can lead to overfitting the data to a specific theory. For example, we are currently looking at the importance of Self Regulation (as did many of the papers at the conference). The data fits the theory rather well, with the effect of self-regulation on course achievement significant but entirely mediated by specific learning behaviors. As I reviewed our results, I started wondering about the power of alternative theories. One of our next steps will be to contrast this theory with other theories and see which one fits better with our data and which is more stable across courses and time.
The theory does not absolve us of the need to check in with more traditional (even psychometric) forms of validity. But for me, a theory is still the key to understanding the data. I am also eager to see what data from our online learners of code can tell us about the development of computer science knowledge, but that is a blog post for another time.