4 research outputs found

    Assessment of Personality Factors (Behavioral Motivators) & Attitudes Toward Group Experiences

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    The freshman experience typically requires a profusion of challenging adjustments relating to a new and demanding college environment. One significant force of attrition is transition or adjustment difficulties for freshmen. Successfully influencing freshmen includes efforts that focus on helping students make an academic, personal, and social adjustment to college. Group work provides opportunities for patterns of interaction (Evans, Forney, & Guido-DiBrito, 1998; Tinto, 2005; Upcraft, Gardner, & Associates, 1989). It is believed that there is intensity in temporary group environments due to a need for individuals to quickly evaluate and adjust to other members, with speed and accomplishment as driving factors (Huff, Cooper, & Jones, 2002; Meyerson, Weick, and Kramer, 1996). Individuals with low levels of urgency, however, prefer taking a slow and methodical approach when adjusting to unfamiliar people and new environments (Praendex Corporation, 1999). The purpose of this study was to investigate differences between and among personality factors relative to levels of urgency and student attitudes toward group experiences. The research question was: What are the differences between and among personality factors relative to levels of urgency and freshman attitudes toward group experiences?. This study took place with hospitality students at a midsize, private university in the Northeast. This quantitative, descriptive study employed two instruments: one measured student attitudes toward group experiences; the second measured personality factors utilizing the Predictive Index. Descriptive statistics, including measures of central tendency, measures of variability, and frequency counts were run and t-tests were used to determine if there were significant differences in attitudes toward group experiences based on personality factors. Freshman students (n=98) with low levels of urgency reported significantly less positive attitudes about trustworthy attributes in others (M=2.99, t=-3.21, p=.01, d=.65) than those without the factor (M=3.50); significantly less positive attitudes about benefits of groups (M=3.75, t=-1.97, p=.05, d=.40) than those without the factor (M=3.99); and significantly less positive attitudes about valuing other students (M=3.34, t=-2.37, p=.01, d=.47) than those without the factor (M = 3.70). This study provided an institution with proposed practices designed to influence freshman group experiences positively based on findings about student attitudes when taking into account personality relative to low levels of urgency. Recommendations include adjusting group experiences, by means of, inserting practices to address issues with temporary groups, and assigning freshmen to consistent groups during the crucial freshman adjustment period

    Citizen Science: Reducing Risk and Building Resilience to Natural Hazards

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    Natural hazards are becoming increasingly frequent within the context of climate change—making reducing risk and building resilience against these hazards more crucial than ever. An emerging shift has been noted from broad-scale, top-down risk and resilience assessments toward more participatory, community-based, bottom-up approaches. Arguably, non-scientist local stakeholders have always played an important role in risk knowledge management and resilience building. Rapidly developing information and communication technologies such as the Internet, smartphones, and social media have already demonstrated their sizeable potential to make knowledge creation more multidirectional, decentralized, diverse, and inclusive (Paul et al., 2018). Combined with technologies for robust and low-cost sensor networks, various citizen science approaches have emerged recently (e.g., Haklay, 2012; Paul et al., 2018) as a promising direction in the provision of extensive, real-time information for risk management (as well as improving data provision in data-scarce regions). It can serve as a means of educating and empowering communities and stakeholders that are bypassed by more traditional knowledge generation processes. This Research Topic compiles 13 contributions that interrogate the manifold ways in which citizen science has been interpreted to reduce risk against hazards that are (i) water-related (i.e., floods, hurricanes, drought, landslides); (ii) deep-earth-related (i.e., earthquakes and volcanoes); and (iii) responding to global environmental change such as sea-level rise. We have sought to analyse the particular failures and successes of natural hazards-related citizen science projects: the objective is to obtain a clearer understanding of “best practice” in a citizen science context

    Acceptance model of SaaS cloud computing at northern Malaysian main campus public universities

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    Technology advancement has side effects, although it has moved in a fast pace that facilitated life and increased business revenue. To cope with negative aspects while looking for friendly technology, Software as a Service (SaaS) Cloud Computing emerged to preserve natural resources, effectively utilize computing and power consumption, while achieving performance, decreasing cost, and increasing revenue. Yet, there are paucity in empirical studies investigating salient factors affecting the usage, acceptance, or adoption of SaaS services from the individual perspectives specifically in higher education sector. The main objective of this study is to investigate the salient factors with proper model that includes technical, social and control characteristics, as well as user security predisposition. Besides, educational level has also proven to be influential in adopting innovations. Hence, probing its role is another objective. The last objective is to investigate differences between student and lecturer groups in the relationships postulated in the model. A survey with questionnaires was conducted on students and lecturers in four public universities in Northern Malaysia. The scope of the acceptance is to investigate the personal-level use of SaaS services. Decomposed Theory of Planned Behaviour (DTPB) and Diffusion of Innovation Theory (DOI) were applied. Results revealed appropriateness of the model although the role of Trialability and Subjective Norms were not significance. The findings contribute to the body of knowledge and literature in highlighting the role of these factors that SaaS providers could benefit in planning for new services and in promoting SaaS usage to universities
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