TLT Fellows

help drive projects from within and to share fresh ideas and skills with the larger Penn State community

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2016 Fellows

Summer 2016 | Past Fellows

Aaron Mauro

Aaron Mauro

Making for the Masses

Making for the Masses

Ty Hollett

Ty Hollett

Marcela Borge

Marcela Borge

Daniel Foster

Daniel Foster

Melanie Foster

Melanie Foster

Topic Areas for Fellowships 2016

By combining ideas and innovative spirit with expertise in academic thought, we can work collaboratively to appropriately apply emerging technologies for teaching and learning. Currently we are seeking faculty who would be interested in working with us in the following areas. If you have an idea for a Fellowship, the first step in the application process is to email tltfellows@psu.edu to schedule a conversation. The call for 2015-2016 Fellows will close on April 15th, 2016.

Making

With the opening of the Maker Commons during the spring 2016 semester, we now have new opportunities to engage students through making and associated maker spaces. TLT is eager to engage with faculty that have ideas that leverage the Maker Commons in interesting ways that impact student learning. The Maker Commons, located in the Knowledge Commons, includes a 3D printing lab with over 30 MakerBot printers, a littleBits lab, and the One Button Studio (OBS).

Physical Learning Spaces

Most classrooms across our university look alike. Rows of desks, a podium, technology for presenting materials, the list goes on. We are opening the Bluebox studio in fall of 2016, an experimental classroom located in the Althouse Laboratory building near the HUB. Through our Fellows program we seek collaborators that have an interest in applying innovative pedagogical models in this, or other, novel spaces designed for learning.

Quantified Self

With our continued reliance on information technology throughout our daily lives, we are producing vast amounts of data as we interact with various systems, platforms, and tools. How can we best leverage this data to make better decisions, specifically better decisions related to learning? With Canvas coming online during the spring 2016 semester, in addition to our existing education technology ecosystem, we have access to rich sets of data regarding how students are interacting with course content and resources. How can we somehow provide this data back to a student, to encourage better decision-making?

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