Search Constraints

Start Over
Filtering by: Creator Durkina, Valentina B. Remove constraint Creator: Durkina, Valentina B. File Format application/pdf Remove constraint File Format: application/pdf

Search Results

  • Complex patterns in gender HCI : a data mining study of factors leading to end-user debugging success for females and males

    Creator:
    Grigoreanu, Valentina I.
    Abstract:
    Most of the work so far in the subfield of Gender HCI has followed a theory-driven approach. Established theories, however, do not take into account specific issues that arise in end-user debugging. We suspected that there may be important information that we were overlooking. We therefore employed a methodology change:...
    Resource Type:
    Masters Thesis
    Full Text:
    OF THE THESIS OF Valentina Grigoreanu for the degree of Master of Science in Computer Science

  • Gender differences in end-user debugging strategies

    Creator:
    Narayanan, Vaishnavi
    Abstract:
    There has been little prior research reporting strategy usage in end-user problem solving, and even less using gender as a factor. Without this type of information, enduser programming systems cannot know the “target” at which to aim, if they are to support male and female end-user programmers’ debugging. As a...
    Resource Type:
    Masters Thesis
    Full Text:
    . Laura Beckwith, Neeraja Subrahmaniyan, Valentina Grigoreanu, Joey Lawrance and Flora Tan for their

  • Supporting end-user debugging

    Creator:
    Kissinger, Cory
    Abstract:
    Although researchers have begun to explicitly support end-user programmers’ debugging by providing information to help them find bugs, there is little research addressing the right content to communicate to these users. The specific semantic content of these debugging communications matters because, if the users are not actually seeking the information...
    Resource Type:
    Masters Thesis
    Full Text:
    Subrahmaniyan and Dr. Sherry Yang. I would also like to thank Valentina Grigoreanu and Vaishnavi Narayanan for

  • Explaining debugging strategies to end-user programmers

    Creator:
    Subrahmaniyan, Neeraja
    Abstract:
    There has been little research into how end-user programming environments can provide explanations that could fill a critical information gap for end-user debuggers – help with debugging strategy. To address this need, we designed and prototyped a video-based approach for explaining debugging strategy, and accompanied it with a text-only approach....
    Resource Type:
    Masters Thesis
    Full Text:
    . My warm gratitude to all my research colleagues—Laura Beckwith, Valentina Grigoreanu, Joey

  • Gender HCI issues in end-user programming

    Creator:
    Beckwith, Laura A.
    Abstract:
    Until recently, research has not considered whether the design of end-user programming environments, such as spreadsheets, multimedia authoring languages, and CAD systems, affects males and females differently. As a result, we began investigating how the two genders are impacted by end-user programming software and whether attention to gender differences is...
    Resource Type:
    Dissertation
    Full Text:
    , Shraddha Sorte, Valentina Grigoreanu, Vaishnavi Narayanan, Kyle Rector, Derek Inman, Neeraja

  • Model-based approximation methods for reinforcement learning

    Creator:
    Wang, Xin
    Abstract:
    The thesis focuses on model-based approximation methods for reinforcement learning with large scale applications such as combinatorial optimization problems. First, the thesis proposes two new model-based methods to stablize the value–function approximation for reinforcement learning. The first one is the BFBP algorithm, a batch-like reinforcement learning process which iterates between...
    Resource Type:
    Dissertation
    Full Text:
    , encouragement, and help during the first couple of years, and Bill Langford, Valentina Bayer Zubek, and Dragos