Automated Discovery of Social Networks in Online Learning Communities

As a way to gain greater insights into the operation of online communities, this dissertation applies automated text mining techniques to text-based communication to identify, describe and evaluate underlying social networks among online community members. The main thrust of the study is to automate the discovery of social ties that form between community members, using only the digital footprints left behind in their online forum postings. Currently, one of the most common but time consuming methods for discovering social ties between people is to ask questions about their perceived social ties. However, such a survey is difficult to collect due to the high investment in time associated with data collection and the sensitive nature of the types of questions that may be asked. To overcome these limitations, the dissertation presents a new, content-based method for automated discovery of social networks from threaded discussions, referred to as ‘name network’. As a case study, the proposed automated method is evaluated in the context of online learning communities. The results suggest that the proposed ‘name network’ method for collecting social network data is a viable alternative to costly and time-consuming collection of users’ data using surveys. The study also demonstrates how social networks produced by the ‘name network’ method can be used to study online classes and to look for evidence of collaborative learning in online learning communities. For example, educators can use name networks as a real time diagnostic tool to identify students who might need additional help or students who may provide such help to others. Future research will evaluate the usefulness of the ‘name network’ method in other types of online communities.

Experiences of African American male engineering students: a qualitative analysis

Prior to the 1970s, African Americans were essentially invisible in the science and engineering academic and professional communities (Babco, 2001a). The few who did earn degrees in these fields, obtained them primarily from historically Black colleges and universities (HBCUs), and these institutions also served as the primary employer for these graduates in science and engineering (Hines, 1997; Babco, 2001a, 2001b). Since the 1970s, African Americans have made considerable progress, but still are not on a level playing field with White males in terms of opportunities for preparation of science and engineering careers or for employment and advancement in those careers. The purpose of this study was to explore second and third-year African American male engineering students’ perceptions and examine what experiences have contributed to their access to and persistence in engineering. A qualitative research design was employed to gather data necessary to answer the research questions. Eight second and third-year African American male engineering students from Research University (pseudonym) participated in interviews with the researcher. The data from the interviews was used to consider the themes that emerged from the participants. The findings from this study suggest that African American male engineering students at Research University have specific experiences that influence their persistence and academic achievement. Themes identified from the interview data include: (1) pre-college experiences; (2) participation in academic and social networks; (3) institutional programming and organizational support; (4) personal accountability and motivation; and (5) goals outside of engineering. As a result of this research, several future implications are highlighted. These include acknowledging the value of diversity, continued support through organizations, and increased knowledge of best practices.