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Description
As part of a group project, myself and four teammates created an interactive children's storybook based off of the "Young Lady's Illustrated Primer" in Neal Stephenson's novel The Diamond Age. This electronic book is meant to be read aloud by a caregiver with their child, and is designed for reading over long distances through the use of real-time voice and video calling. While one part of the team focused on building the electronic book itself and writing the program, myself and two others wrote the story and I provided illustrations. Our Primer tells the story of a young princess named Charname (short for character name) who escapes from a tower and goes on a mission to save four companions to help her on her quest. The book is meant for reader-insertion, and teaches children problem-solving, teamwork, and critical thinking skills by presenting challenges for Princess Charname to solve. The Primer borrows techniques from modern video game design, focusing heavily on interactivity and feelings of agency through offering the child choices of how to proceed, similar to choose-your-own-adventure books. If brought to market, the medium lends itself well to expanded quests and storylines for the child to explore as they learn and grow. Additionally, resources are provided for the narrator to help create an engaging experience for the child, based off of research on parent-child cooperative reading and cooperative gameplay. The final version of the Primer included a website to run the program, a book-like computer to access the program online, and three complete story segments for the child and narrator to read together.
ContributorsLax, Amelia Ann Riedel (Author) / Dove-Viebahn, Aviva (Thesis director) / Wetzel, Jon (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Online learning communities have changed the way users learn due to the technological affordances web 2.0 has offered. This shift has produced different kinds of learning communities like massive open online courses (MOOCs), learning management systems (LMS) and question and answer based learning communities. Question and answer based communities are an important part of social information seeking. Thousands of users participate in question and answer based communities on the web like Stack Overflow, Yahoo Answers and Wiki Answers. Research in user participation in different online communities identifies a universal phenomenon that a few users are responsible for answering a high percentage of questions and thus promoting the sustenance of a learning community. This principle implies two major categories of user participation, people who ask questions and those who answer questions. In this research, I try to look beyond this traditional view, identify multiple subtler user participation categories. Identification of multiple categories of users helps to provide specific support by treating each of these groups of users separately, in order to maintain the sustenance of the community.
In this thesis, participation behavior of users in an open and learning based question and answer community called OpenStudy has been analyzed. Initially, users were grouped into different categories based on the number of questions they have answered like non participators, sample participators, low, medium and high participators. In further steps, users were compared across several features which reflect temporal, content and question/thread specific dimensions of user participation including those suggestive of learning in OpenStudy.
The goal of this thesis is to analyze user participation in three steps:
a. Inter group participation analysis: compare pre assumed user groups across the participation features extracted from OpenStudy data.
b. Intra group participation analysis: Identify sub groups in each category and examine how participation differs within each group with help of unsupervised learning techniques.
c. With these grouping insights, suggest what interventions might support the categories of users for the benefit of users and community.
This thesis presents new insights into participation because of the broad range of
features extracted and their significance in understanding the behavior of users in this learning community.
In this thesis, participation behavior of users in an open and learning based question and answer community called OpenStudy has been analyzed. Initially, users were grouped into different categories based on the number of questions they have answered like non participators, sample participators, low, medium and high participators. In further steps, users were compared across several features which reflect temporal, content and question/thread specific dimensions of user participation including those suggestive of learning in OpenStudy.
The goal of this thesis is to analyze user participation in three steps:
a. Inter group participation analysis: compare pre assumed user groups across the participation features extracted from OpenStudy data.
b. Intra group participation analysis: Identify sub groups in each category and examine how participation differs within each group with help of unsupervised learning techniques.
c. With these grouping insights, suggest what interventions might support the categories of users for the benefit of users and community.
This thesis presents new insights into participation because of the broad range of
features extracted and their significance in understanding the behavior of users in this learning community.
ContributorsSamala, Ritesh Reddy (Author) / Walker, Erin (Thesis advisor) / VanLehn, Kurt (Committee member) / Hsieh, Gary (Committee member) / Wetzel, Jon (Committee member) / Arizona State University (Publisher)
Created2015