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Past Learning Innovation Series

Fall 2024

Date TitlePresenters
Aug 28Innovation in Action: LIVE's Impact and Future VisionAlyssa Wise
Sept 4Designing Tools for Children to Question and Reimagine ComputingGolnaz Arastoopour Irgens
Sept 11Fairness Reconsidered: A Reparative Lens on Algorithmic JusticeJenny Davis
Sept 18Spark! LIVE Learning Innovation DemosLIVE Community
Sept 25AI Adoption in the Workplace and the Future of WorkXi Kang
Oct 2Spark! Research Brainstorm SessionLIVE Community
Oct 9Fall BreakNo Session
Oct 16 Multimodal Composing with AI Melanie Hundley, Blaine Smith
Oct 23Spark! Exploring Current and Future Research Partnerships with MNPSErin Henrick
Oct 30Learning Socially With and About Playful Creative ComputingVishesh Kumar
Nov 6 Spark! Session Coming Soon LIVE Community
Nov 13Investigating the Impact of Metacognitive Supports in a Mathematics Digital Learning Platform Kelley Durkin, Cristina Zepeda
Nov 20Math Misconceptions Data Science CompetitionScott Crossley, Bethany Rittle-Johnson, Kelley Durkin, Rebecca Adler
Nov 27Thanksgiving BreakNo Session
Dec 4Spark! Bridging the Gap Between Physical and Virtual Reality with Multisensory ExperimentsMark Wallace, David Tovar, Marcus Watson

Spring 2024

Fall 2023

August 30 – Admin Meeting

September 6 – First LIVE lunch – Introducing Alyssa Wise!

September 13 – Scott Crossley, Langdon Holmes, Joon Suh Choi, & Wesley Morris (Special Education). National Assessment of Educational Progress (NAEP) Automated Scoring Challenge for NAEP Mathematics items: The grand prize solution.

September 20 – Chris Vanags (Director, Peabody Research Office) The Vanderbilt Smart Meadow: an Intelligent Ecosystems Approach to Soiling your Undies (and combating climate change).

September 27 – Will Hedgecock (Institute for Software Integrated Systems). Code to Joy: A music themed framework for teaching CS

October 4 – Rogers Hall and Caleb Vatral (Teaching and Learning, and Computer Science). Vanderbilt Interaction Analysis Lab (VIAL)

October  11 – Hugo Hammond (Postdoc, Psychology and Human Development). Audiences of the future: using physiological and behavioural measures to investigate immersion in film and television

October 18 – No LIVE Talk this week (Interdisciplinary Faculty Mtg)

October 25 – Meiyi Ma (Computer Science) Towards Explainable & Trustworthy AI for Healthcare and Smart Cities 

November 1 – Jim Goodell (Quality Information Partners) Learning Engineering: A Process and Practice to Support Learners and their Development

November 8 – Meagan Postema (LIVE) The Belmont Forum: Utilizing Transdisciplinary Research to Systemically Address Sustainability Challenges

November 15 – No LIVE Talk this week (Interdisciplinary Faculty Mtg)

November 22 – Thanksgiving Break

November 29 – Patrick Voorhies (Chevron) Preparing for the Future of Work and Energy: Chevron’s Approach to Developing Digital Skills

December 6 – Hannah Ziegler (Teaching and Learning) Teens (Re)storying the Creek with STEM (T-ReCS): Place-based Education and Digital Storytelling with AR

Spring 2023

To view the recordings of the Spring 2023 presentations, click here 

January 11 – Katherine McEldoon (Pearson Learning). “Pearson’s Learning Design Principles: Scaling the Science of Learning at a Global Ed Tech Company.”

January 18 – Eduardo Davalos (Computer Science). “Identifying Gaze Behavior Evolution via Temporal Fully-Weighted Scanpath Graphs”

January 25 – Bobby Bodenheimer (Computer Science).“Perception and Action in Immersive Virtual Spaces: How Well Are We Building Virtual Worlds?”

February 1 – cancelled d/t weather

February 8 – Madison Lee (Psychology and Human Development). “An interdisciplinary analysis of nurse training in mixed-reality simulation environments.”

February 15 –Nilanjan Sarkar (Computer Science). “A Simulator for Individualized and Adaptive Driving in Virtual Reality and its Applications in Autism Intervention

February 22 – Gautam Biswas (Computer Science). “C2STEM: A Collaborative Computational STEM learning Environment that promotes synergistic learning of science and computational thinking (CT).”

March 1 – Clayton Cohn (Computer Science). “A Deep Learning Approach to Classifying Students’ Domain-Specific Utterances During Collaborative Problem-Solving”

March 8 – Ashwaq Alsoubai (Computer Science). “A Human-Centered Approach to Improving Adolescent Real-Time Online Risk Detection Algorithms“; Naima Samreen Ali & Sarvech Qadir, “Accessibility Quest VR Demo

March 15 – No lunch (Spring Break)

March 22 –Nilanjan Sarkar (Computer Science). “Design of a collaborative virtual environment for dyadic interaction to facilitate teamwork and collaboration

March 29 – Noel Enyedy (Teaching and Learning). “Minds in Motion: New Ways of Embodied, Technology Mediated Learning and a Demonstration of the Generalized Embodied Modeling Learning Environment”

April 5 – Langdon Holmes and Wesley Morris (Psychology and Human Development). “Digital Textbooks – Leveraging Artificial Intelligence to Develop Responsive Readers.” Project Page

April 12 – Peter Rousos (Vanderbilt Center for Technology Transfer and Commercialization). “From Lab to Market: Commercializing Vanderbilt’s Intellectual Property

April 19 – Laurie Cutting and Amanda Martinez-Lincoln (Special Education). “Examination of brain stimulation to facilitate foreign language learning.”

April 26 – Caroline Christopher (Teaching and Learning). Development and Testing of a Mobile Web-Based Coaching Tool to Improve Pre-K Classroom Practices to Enhance Learning. 

Fall 2022

August 31 – Dan Levin (Psychology and Human Development). “Introduction to LIVE and the talk series.” 

  • What is LIVE?  LIVE is an interdisciplinary center for learning technology that focuses on research and applications to technology in support of consequential learning. We support research and the development of ideas for application of learning technology with corporate and community partners. A big part of the LIVE mission is to create a community of researchers and students here at Vanderbilt. In the first session of the LIVE brownbag series, we will discuss LIVE, let you know about ways that LIVE can help your research and partnership efforts, and give you a chance to start getting to know others in the LIVE community.

September 7 – Akos Ledeczi (Computer Science): Interactive Demo #1. “Technology to teach programming: Using NetsBlox to teach students amazing technical skills and to be masters of on-line data.”

September 14 – Akos Ledeczi (Computer Science): Interactive Demo #2. “Using the NetsBlox robot controller.”

September 21 – No lunch

September 28 – Gautam Biswas (Computer Science). “SPICE – Science Projects Integrating Computing and Engineering, an NSF-funded STEM+C Design and Development project that develops NGSS aligned curricular materials integrating computational modeling with science and engineering for students in grades 5 and 6.”

October 5 – Michelle Perdomo (Psychology and Human Development). “Assessing the Influence of the Internet: Does Digital Text Exposure Affect Language Processing?”

October 12 – No lunch (Fall Break)

October 19 – Ilana Horn (Teaching and Learning). “How does accounting for classroom space help us think differently about teaching and teacher learning?”

October 26 – Ole Molvig (History, CSET, CMA). “Education in the Metaverse?  An overview of VR, AR, and spatial technologies.”

November 2 – Rogers Hall (Teaching and Learning). Interaction Analysis for Learning Science. Interaction analysis is a method used to explore the organization of learning and teaching in video and audio recordings of human activity.”

  • In this introduction, we will review the history of the field, identify phenomena that are amenable to this method, and explore several use cases. This session also serves as an invitation to participate in the VU/LIVE Interaction Analysis Lab, an open group run by students and faculty, which will be meeting each week during this academic year. Members of the LIVE community are welcome to participate and to bring materials for analysis. Related material: Learning How to Look and Listen.

November 9 – Yu Huang (Computer Science). Objectively Measure Students’ Cognitive Activities in Programming: Code, Biases, and Brains.”

  • Understanding how developers carry out programming activities can help to improve software engineering productivity and guide the use and development of supporting tools, strategies,  and environment for CS pedagogy. We will discuss how we can use medical imaging and eye tracking to objectively explore CS students’ computing activities.

November 16 – Sarah Burriss (Teaching and Learning). AI, Ethics, and Science Fiction: Fostering Ethical Discussions Around Fiction and Film Featuring Advanced Technology.”

November 30 – Cristina Zepeda (Psychology and Human Development). Identifying students’ study strategies and ways to support effective strategies via supervised machine learning for text analysis.”

December 7 – No lunch