ai

Using AI for Diverse Learners’ Support

Tonight I watched the last session of the QM Connect conference 2024 AI Lightning Talks (part 1). Dr. Geetanjali Soni works with NC Public Schools and works on the North Carolina Virtual Public School. The title of the session was “Leveraging AI to provide Instructional Support for Diverse Learners.” Soni emphasized that AI can help […]
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Maximize Efficiency: AI Strategies from QM Connect 2024

Tonight I continued watching the QM Connect 2024 Conference AI Lightning Sessions. The next session was “A Team Approach: Getting started with AI to build efficiencies.” Lisa Byrnes and Kate Morgan from Penn State Wold Campus were the presenters. They are both instructional designers interested in AI and wanted to streamline processes. They established a […]
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Using ChatGPT for AI Course Design and Rubrics

Tonight I watched another AI Lightning Talk from the QM Communications YouTube playlist. Dr. Bryan Malone presented at the QM Connect Conference on “AI for Course Data Analytics Development.” They have a four-month process for developing courses. Malone wanted to develop a 300-level Big Data Course using AI (Chat GPT paid subscription) and Subject Matter […]
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Explore MetaPathPredict and OMEGGA: Tools for Bioinformatics

Tonight I watched another KBase Science Session: Data integration to support (or refute) predictions. “Integrating data to predict functions for gaps in metabolic models” was the title of Bill Nelson’s session. Nelson is from the Pacific Northwest National Laboratory. The work was part of two PNNL SFA projects: a soil microbiome project and a persistence […]
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KBase Pipeline for Protein Function Prediction

Continuing with the KBase Science Session: Data integration to support (or refute) predictions, tonight I watched Chris Henry from Argonne National Laboratory present on “Predicting Protein function using structure nd sequence similarity in KBase.” Henry and team built a pipeline in KBase to analyze structure and sequence similarity data. Henry noted that KBase has a […]
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Unlocking Knowledge Extraction with KBase

I didn’t know KBase could be used for knowledge extraction from literature! Tonight I watched the session by Shinjae Yoo from Brookhaven National Laboratory titled “Knowledge extraction from literature.” This was part of the KBase Science Session: Data integration to support (or refute) predictions I started watching yesterday. The primary focus of this study was […]
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Enhancing Microbiome Data Collection with NMDC Tools

I’m still watching day 2 of the ISME19 workshop “From Reads to Function.” This session included Iyanu Oduwole, Emile Skoog, and Kent Pham. They introduced NMDC and Sample Metadata. The National Microbiome Data Collaborative (NMDC). Iyanu Oduwole is a Genome Science and Technology Ph.D. candidate at Bredesen Center UTORII. Emilie Skoog is a postdoctoral researcher […]
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