No description available.

With the unprecedented growth of the Computer Science field, there is an underlying assumption that undergraduate students would naturally gravitate towards Computer Science courses or acquire related skills, irrespective of their career interests. However, this research challenged that assumption, focusing on the experiences and attitudes of Non-Computer Science majors enrolled in Computer Science courses. The objective of this study is to gain a comprehensive understanding of the experiences and attitudes of Non-Computer Science majors taking Computer Science courses. The research questions seek to uncover the factors influencing their engagement in Computer Science. This research employs a mixed-method study, starting with a quantitative phase followed by a qualitative one. Quantitative data is analyzed using factor analysis and inferential statistics, followed by thematic analysis on the qualitative data. The findings reveal that stereotypes associated with the Computer Science field are established as early as high school. These stereotypes, particularly affecting females, sometimes act as barriers, discouraging further pursuit of Computer Science. Addressing these stereotypes becomes crucial for fostering inclusivity in the field. To counteract these stereotypes, it is proposed that Computer Science and its applications should be promoted as early as freshmen year of high school. By introducing students to the field early, we can potentially mitigate the impact of stereotypes and encourage a diverse range of individuals to pursue Computer Science. Further exploration into the experiences of Computer Science majors is recommended to deepen our understanding and inform targeted interventions. / Master of Science / As Computer Science gains popularity, the assumption that all students, regardless of their career goals, naturally gravitate towards it is challenged. This study delves into the experiences and attitudes of Non-Computer Science majors taking Computer Science courses. This research aims to understand what influences Non-Computer Science majors' engagement in Computer Science, and the factors that shape their experiences and attitudes. Using a mixed-method approach, we first collect quantitative data through a survey, measuring various aspects. We then gather qualitative insights through interviews. Analyzing the quantitative data involves factor analysis and inferential statistics, while qualitative data is explored through thematic analysis. Our findings indicate that stereotypes about Computer Science are established as early as high school, often discouraging females from pursuing further education in the field. Addressing these stereotypes is crucial for fostering inclusivity. To counteract stereotypes, we propose promoting Computer Science from the freshman year of high school. By introducing students early, we can mitigate the impact of stereotypes and encourage a diverse range of individuals to explore Computer Science. Further exploration into the experiences of Computer Science majors is recommended to inform inclusive interventions.

The purpose of this study was to explore the extent that family physicians believe their patients could benefit from marriage and family therapy-related care, the extent of their experiences of collaborating with family therapists, and their interest in future collaboration with family therapists. Limitations family physicians face when providing psychosocial care as well as roadblocks they face when making mental health referrals and collaborating with family therapists were also explored. Sixty-four percent of the 240 family physicians surveyed responded to the mailed questionnaire. Descriptive statistics are provided for the quantitative analysis, while content analysis was used to evaluate the qualitative data. Quantitative results revealed that family physicians do detect psychosocial concerns in patient encounters, even when those concerns are not the presenting complaint, but face limitations and roadblocks to adequately addressing these concerns. The most common form of collaboration that the respondents expressed interest in was referring out with collaborative communication continuing with the family therapist, but other forms were also identified. / Master of Science

The concept of home care nursing workload has not been widely studied and no evidence was found that an analysis of the concept had been undertaken. Consequently, there was a knowledge gap regarding the definition and attributes for the concept of home care nursing workload as it is currently experienced. To address that gap, a descriptive, three-phase, mixed methods (quantitative and qualitative) study was conducted. In Phase One, Rodgers’ (2000) evolutionary method was used to analyze the concept of home care nursing workload based on the empirical literature. Phase Two was situated within the naturalistic inquiry paradigm and involved observation of ten home care registered nurses during their visits to 61 patients. In Phase three a questionnaire was administered to validate the draft definition and attributes for the concept of home care nursing workload. It was completed by 88 home care nursing experts from clinical practice, education, management and research. Qualitative findings were analyzed using inductive content analysis. Quantitative data were analyzed descriptively using SPSS. Data triangulation was used extensively within and between the study phases. Of 14 attributes in the phase three draft concept definition, respondents assigned the highest level of relevance to the attribute of cognitive effort and the lowest to physical effort. The final definition contained 20 attributes and includes the following excerpt: “Home care nursing workload is the totality of the cognitive, emotional and physical effort home care nurses expend to meet the expectations of all stakeholders in providing holistic, outcome directed and patient/family focused care within the context of a short or long-term therapeutic relationship.” Respondents reported high levels of agreement with the accuracy and completeness of the definition and the majority indicated the definition would be useful or very useful in their day-to-day work. The comprehensive concept exemplar that emerged from the study includes each of the identified attributes. The study findings provided evidence of the complexity and challenge inherent in quantitatively measuring home care nursing workload. Accordingly, implications of the findings are shared for the management and monitoring of workload and associated outcomes, as well as for nursing practice, education and research.

The concept of home care nursing workload has not been widely studied and no evidence was found that an analysis of the concept had been undertaken. Consequently, there was a knowledge gap regarding the definition and attributes for the concept of home care nursing workload as it is currently experienced. To address that gap, a descriptive, three-phase, mixed methods (quantitative and qualitative) study was conducted. In Phase One, Rodgers’ (2000) evolutionary method was used to analyze the concept of home care nursing workload based on the empirical literature. Phase Two was situated within the naturalistic inquiry paradigm and involved observation of ten home care registered nurses during their visits to 61 patients. In Phase three a questionnaire was administered to validate the draft definition and attributes for the concept of home care nursing workload. It was completed by 88 home care nursing experts from clinical practice, education, management and research. Qualitative findings were analyzed using inductive content analysis. Quantitative data were analyzed descriptively using SPSS. Data triangulation was used extensively within and between the study phases. Of 14 attributes in the phase three draft concept definition, respondents assigned the highest level of relevance to the attribute of cognitive effort and the lowest to physical effort. The final definition contained 20 attributes and includes the following excerpt: “Home care nursing workload is the totality of the cognitive, emotional and physical effort home care nurses expend to meet the expectations of all stakeholders in providing holistic, outcome directed and patient/family focused care within the context of a short or long-term therapeutic relationship.” Respondents reported high levels of agreement with the accuracy and completeness of the definition and the majority indicated the definition would be useful or very useful in their day-to-day work. The comprehensive concept exemplar that emerged from the study includes each of the identified attributes. The study findings provided evidence of the complexity and challenge inherent in quantitatively measuring home care nursing workload. Accordingly, implications of the findings are shared for the management and monitoring of workload and associated outcomes, as well as for nursing practice, education and research.

This study seeks to examine (1) in what situations Swedish upper secondary school students from two EFL classes are unwilling to speak English in English class, and (2) what the motivational factors are for the same students to speak English. Students in their first and second year of studying English in Swedish upper secondary school participated in this study. The data were collected using observations, a questionnaire and semi-structured interviews. The data collected in this study were analyzed using both quantitative and qualitative methods. The results of the study showed that students are unwilling to speak English in assessed situations as well as in situations where students are given less time before they can speak. The results suggest that students are influenced by one another, and that using English only instruction will make students more confident in speaking activities since speaking English will be normative behavior in class. Moreover, students are motivated to speak the target language in class by the English they meet outside of school, and by the plans that they have envisioned for their future.

This dissertation consists of three journal articles that explored the effectiveness of a digital game, called EnerCities, in producing pro-environmental attitudes and behaviors by using a mixed-methods study approach. The first study was conducted as a quasi-experimental study among undergraduate students in the United States. Based on the Attitudinal Learning Instrument (ALI), this study found that the attitudinal learning gained from EnerCities influenced participants’ pro-environmental behavioral intentions significantly. This learning was retained until five weeks after game play according to the qualitative results of the study. The second study, conducted in India, used EnerCities to study the differences in attitudinal learning among high school students who played the game collaboratively or individually, using the ALI and Theory of Planned Behavior (TPB). Results showed that the attitudinal learning and its effect on pro-environmental behavioral intentions between collaborative and individual players was similar. This study also showed that EnerCities had significantly impacted the environmental attitudes and behaviors of the game players when compared to students who did not play any game, although all students had studied environmental studies through traditional instructional methods since elementary school. The third study, conducted among high school students in India, compared the environmental attitudes between game players and students who did not play any game based on the New Ecological Paradigm (NEP) scale. Both the unidimensional and multi-dimensional properties of the NEP were considered. It was found that EnerCities had impacted game players’ environmental attitudes significantly. All the three studies showed that digital games are more effective in promoting attitudinal (cognitive, affective, behavioral and social) learning compared to traditional instructional methods. This supports the implementation of digital games as a pedagogical tool in influencing environmental attitudes and behaviors.

No description available.

No description available.

No description available.