04 Nov 2021
Datawhys Phase 1 - Problem Solving to Facilitate Data Science & STEM Learning Among Summer Interns
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20 Aug 2021
Automated Content Creation for Intelligent Tutoring Systems
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20 Aug 2021
Special Issue on Creating and Improving Adaptive Learning - Smart Authoring Tools and Processes (IJAIED)
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23 Jul 2021
Concluding DataWhys Summer Internship Program 2021
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27 Jun 2021
Sentence Selection for Cloze Item Creation - A Standardized Task and Preliminary Results
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09 Jun 2021
JupyterLab Extensions for Blocks Programming, Self-Explanations, and HTML Injection
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25 May 2021
Contextual Definition Generation
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05 Apr 2021
WikiMorph - Learning to Decompose Words into Morphological Structures
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05 Apr 2021
Paraphrasing Academic Text - A Study of Backtranslating Anatomy and Physiology with Transformers
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31 Mar 2021
Generating Response-Specific Elaborated Feedback Using Long-Form Neural Question Answering
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08 Mar 2021
Learning Data Science with Blockly in JupyterLab
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05 Mar 2021
Announcing DataWhys Summer Internship Program 2021
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28 Nov 2020
Concluding the First DataWhys Online Course
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24 Jul 2020
Concluding DataWhys Summer Internship Program 2020
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12 Jul 2020
Estimating the Effect of Social Distancing Interventions on COVID-19 in the United States
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09 Jul 2020
DataWhys - Getting Around with Jupyter and Blockly
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06 Jul 2020
The Mobile Fact and Concept Textbook System (MoFaCTS)
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02 Apr 2020
City of Memphis - Shelby County Joint COVID Task Force
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13 Mar 2020
Announcing DataWhys Summer Internship Program 2020
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08 Mar 2020
Memphis Civic Data Hackathon
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12 Feb 2020
JupyterLab/Blockly Extension - Data Science Example
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12 Feb 2020
DataWhys reported in The Daily Memphian
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20 Jan 2020
Intelliblocks for the JupyterLab/Blockly Extension
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16 Jan 2020
Introduction to Applied Computational Linguistics (IIS 4/6011)
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13 Jan 2020
Advancing the Science of Learning Data Science with Adaptive Learning for Future Workforce Development (DataWhys)
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13 Jan 2020
DataWhys Project Overview
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27 Dec 2019
Fable JupyterLab Blockly Extension
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26 Dec 2019
A Cognitive Load Perspective on the Design of Blocks Languages for Data Science.
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