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Creators/Authors contains: "Hardt, Ryan"

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  1. ; ; ; ; ; ; ( , Proceedings of 2022 Annual Conference on Innovation and Technology in Computer Science Education)
    The paper focuses on a new type of interactive learning content for SQL programming - worked examples of SQL code. While worked examples are popular in learning programming, their application for learning SQL is limited. Using a novel tool for presenting interactive worked examples, Database Query Analyzer (DBQA), we performed a large-scale randomized controlled study assessing the value of worked examples as a new type of practice content in a database course. We report the results of the classroom study examining the usage and the impact of DBQA. Among other aspects, we explored the effect of textual step explanations provided by DBQA. 
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    Full Text Available 
  2. ; ; ; ; ; ; ( , Proceedings of the 27th ACM Conference on Innovation and Technology in Computer Science Education)
    The paper focuses on a new type of interactive learning content for SQL programming - worked examples of SQL code. While worked examples are popular in learning programming, their application for learning SQL is limited. Using a novel tool for presenting interactive worked examples, Database Query Analyzer (DBQA), we performed a large-scale randomized controlled study assessing the value of worked examples as a new type of practice content in a database course. 
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    Accepted Manuscript Full Text Available
  3. ; ( , Sixth SPLICE Workshop "Building an Infrastructure for Computer Science Education Research and Practice at Scale" at ACM Learning at Scale 2020)
    This paper describes updates to Database Query Analyzer (DBQA) that increase its interoperability with other learning tools using the Learning Tools Interoperability (LTI) protocol. As a result, DBQA has been integrated with Mastery Grids and allows for integration with learning management systems. 
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    Accepted Manuscript Full Text Available