A hermeneutic phenomenology of graduate education students' understandings of instructor power in a higher education classroom

Higher education is a distribution center of knowledge and economic, social, and cultural power (Cervero & Wilson, 2001). A critical approach to understanding a higher education classroom begins with recognizing the instructor's position of power and authority (Tisdell, Hanley, & Taylor, 2000). The power instructors wield exists mostly unquestioned, allowing for teaching practices that reproduce the existing societal patterns of inequity in the classroom (Brookfield, 2000). ^ The purpose of this hermeneutic phenomenological study was to explore students' experiences with the power of their instructors in a higher education classroom. A hermeneutic phenomenological study intertwines the interpretations of both the participants and the researcher about a lived experience to uncover layers of meaning because the meanings of lived experiences are usually not readily apparent (van Manen, 1990). Fifteen participants were selected using criterion, convenience, and snowball sampling. The primary data gathering method were semi-structured interviews guided by an interview protocol (Creswell, 2003). Data were interpreted using thematic reflection (van Manen, 1990). ^ Three themes emerged from data interpretation: (a) structuring of instructor-student relationships, (b) connecting power to instructor personality, and (c) learning to navigate the terrains of higher education. How interpersonal relationships were structured in a higher education classroom shaped how students perceived power in that higher education classroom. Positive relationships were described using the metaphor of family and a perceived ethic of caring and nurturing by the instructor. As participants were consistently exposed to exercises of instructor power in a higher education classroom, they attributed those exercises of power to particular instructor traits rather than systemic exercises of power. As participants progressed from undergraduate to graduate studies, they perceived the benefits of expertise in content or knowledge development as secondary to expertise in successfully navigating the social, cultural, political, and interpersonal terrains of higher education. Ultimately, participants expressed that higher education is not about what you know; it is about learning how to play the game. Implications for teaching in higher education and considerations for future research conclude the study.^

Three essays on a longitudinal analysis of business start-ups using the Kauffman Firm Survey

This dissertation focused on the longitudinal analysis of business start-ups using three waves of data from the Kauffman Firm Survey. ^ The first essay used the data from years 2004-2008, and examined the simultaneous relationship between a firm's capital structure, human resource policies, and its impact on the level of innovation. The firm leverage was calculated as, debt divided by total financial resources. Index of employee well-being was determined by a set of nine dichotomous questions asked in the survey. A negative binomial fixed effects model was used to analyze the effect of employee well-being and leverage on the count data of patents and copyrights, which were used as a proxy for innovation. The paper demonstrated that employee well-being positively affects the firm's innovation, while a higher leverage ratio had a negative impact on the innovation. No significant relation was found between leverage and employee well-being.^ The second essay used the data from years 2004-2009, and inquired whether a higher entrepreneurial speed of learning is desirable, and whether there is a linkage between the speed of learning and growth rate of the firm. The change in the speed of learning was measured using a pooled OLS estimator in repeated cross-sections. There was evidence of a declining speed of learning over time, and it was concluded that a higher speed of learning is not necessarily a good thing, because speed of learning is contingent on the entrepreneur's initial knowledge, and the precision of the signals he receives from the market. Also, there was no reason to expect speed of learning to be related to the growth of the firm in one direction over another.^ The third essay used the data from years 2004-2010, and determined the timing of diversification activities by the business start-ups. It captured when a start-up diversified for the first time, and explored the association between an early diversification strategy adopted by a firm, and its survival rate. A semi-parametric Cox proportional hazard model was used to examine the survival pattern. The results demonstrated that firms diversifying at an early stage in their lives show a higher survival rate; however, this effect fades over time.^

An investigation of parents' and children's beliefs of early literacy acquisition from a cross -cultural perspective

It has been reported that the cultural-historical experiences of ethnic group members can play a role in the literacy beliefs of those members. Socioeconomic conditions can also influence the belief system of the groups' constituents. This study investigated parents' and children's beliefs pertaining to early literacy acquisition as related to the ethnicity and socioeconomic status (SES) of the participants. The objectives were to determine (a) the differential patterns regarding emergent literacy and traditional skills approaches as they interact with ethnicity and SES and (b) the correspondence between parents and children's beliefs about literacy acquisition. ^ The study was conducted with 152 parents (38 low-income Hispanic, 38 middle-income Hispanic, 38 low-income African-American, and 38 middle-income African-American) and 36 of their 3-, 4-, or 5-year-old children (18 male and 18 female). ^ The parents were asked to check those items with which they agreed on a survey that consisted of an equal number of items from the traditional skills-based and emergent literacy orientations. These responses were used to determine the differences and interaction by ethnicity and SES. The children responded to open-ended questions related to the instruction of reading and writing skills. The parents' responses and children's answers were compared to ascertain the matching parent-child dyads by ethnicity and SES. ^ An item analysis was conducted to strengthen the internal reliability consistency coefficient of the traditional skills-based and emergent literacy scales as measured by the Cronbach Alpha. ^ A two-way multivariate analysis of variance (MANOVA) revealed a significant difference in traditional skill-based beliefs for the low-income African-American and Hispanic parents. There were no significant findings for the parents' traditional skill based or emergent literacy beliefs based on ethnicity, for the interaction between ethnicity and SES, or for the relationship between parents' and children's literacy beliefs by ethnicity and SES. ^ It can be concluded that low-income African-American and Hispanic parents believe in the traditional skills approach, indicating that these parents find it necessary for children to have sufficient school readiness skills prior to learning to read or write. In addition, the parent and child dyads had a strong tendency toward emergent literacy beliefs. ^

Text analytics of social media: Sentiment analysis, event detection and summarization

In the last decade, large numbers of social media services have emerged and been widely used in people's daily life as important information sharing and acquisition tools. With a substantial amount of user-contributed text data on social media, it becomes a necessity to develop methods and tools for text analysis for this emerging data, in order to better utilize it to deliver meaningful information to users. ^ Previous work on text analytics in last several decades is mainly focused on traditional types of text like emails, news and academic literatures, and several critical issues to text data on social media have not been well explored: 1) how to detect sentiment from text on social media; 2) how to make use of social media's real-time nature; 3) how to address information overload for flexible information needs. ^ In this dissertation, we focus on these three problems. First, to detect sentiment of text on social media, we propose a non-negative matrix tri-factorization (tri-NMF) based dual active supervision method to minimize human labeling efforts for the new type of data. Second, to make use of social media's real-time nature, we propose approaches to detect events from text streams on social media. Third, to address information overload for flexible information needs, we propose two summarization framework, dominating set based summarization framework and learning-to-rank based summarization framework. The dominating set based summarization framework can be applied for different types of summarization problems, while the learning-to-rank based summarization framework helps utilize the existing training data to guild the new summarization tasks. In addition, we integrate these techneques in an application study of event summarization for sports games as an example of how to better utilize social media data. ^

Text Analytics of Social Media: Sentiment Analysis, Event Detection and Summarization

In the last decade, large numbers of social media services have emerged and been widely used in people's daily life as important information sharing and acquisition tools. With a substantial amount of user-contributed text data on social media, it becomes a necessity to develop methods and tools for text analysis for this emerging data, in order to better utilize it to deliver meaningful information to users. Previous work on text analytics in last several decades is mainly focused on traditional types of text like emails, news and academic literatures, and several critical issues to text data on social media have not been well explored: 1) how to detect sentiment from text on social media; 2) how to make use of social media's real-time nature; 3) how to address information overload for flexible information needs. In this dissertation, we focus on these three problems. First, to detect sentiment of text on social media, we propose a non-negative matrix tri-factorization (tri-NMF) based dual active supervision method to minimize human labeling efforts for the new type of data. Second, to make use of social media's real-time nature, we propose approaches to detect events from text streams on social media. Third, to address information overload for flexible information needs, we propose two summarization framework, dominating set based summarization framework and learning-to-rank based summarization framework. The dominating set based summarization framework can be applied for different types of summarization problems, while the learning-to-rank based summarization framework helps utilize the existing training data to guild the new summarization tasks. In addition, we integrate these techneques in an application study of event summarization for sports games as an example of how to better utilize social media data.

Academic Risk-Taking in Higher Education

Little is known about how adults learn to take risks. However, learning to take risks can be beneficial to adults who fear uncertainty or struggle with academic achievement. Higher education can play a leading role in embracing risk-taking and raising the interest level of adult learners through strategic learning activities.

Three Essays on a Longitudinal Analysis of Business Start-ups using the Kauffman Firm Survey

This dissertation focused on the longitudinal analysis of business start-ups using three waves of data from the Kauffman Firm Survey. The first essay used the data from years 2004-2008, and examined the simultaneous relationship between a firm’s capital structure, human resource policies, and its impact on the level of innovation. The firm leverage was calculated as, debt divided by total financial resources. Index of employee well-being was determined by a set of nine dichotomous questions asked in the survey. A negative binomial fixed effects model was used to analyze the effect of employee well-being and leverage on the count data of patents and copyrights, which were used as a proxy for innovation. The paper demonstrated that employee well-being positively affects the firm's innovation, while a higher leverage ratio had a negative impact on the innovation. No significant relation was found between leverage and employee well-being. The second essay used the data from years 2004-2009, and inquired whether a higher entrepreneurial speed of learning is desirable, and whether there is a linkage between the speed of learning and growth rate of the firm. The change in the speed of learning was measured using a pooled OLS estimator in repeated cross-sections. There was evidence of a declining speed of learning over time, and it was concluded that a higher speed of learning is not necessarily a good thing, because speed of learning is contingent on the entrepreneur's initial knowledge, and the precision of the signals he receives from the market. Also, there was no reason to expect speed of learning to be related to the growth of the firm in one direction over another. The third essay used the data from years 2004-2010, and determined the timing of diversification activities by the business start-ups. It captured when a start-up diversified for the first time, and explored the association between an early diversification strategy adopted by a firm, and its survival rate. A semi-parametric Cox proportional hazard model was used to examine the survival pattern. The results demonstrated that firms diversifying at an early stage in their lives show a higher survival rate; however, this effect fades over time.