5,265 research outputs found
"Estimating the Impact of Whaling on Global Whale Watching"
After the commercial whaling moratorium was enacted in 1986, whale watching became one of the fastest growing tourism industries worldwide. As whaling was regarded as an activity incompatible with whale watching, the possible resumption of commercial whaling caused an urgent need to investigate the potential negative effects of whaling on the whale-watching industry. We examine the potential impacts of whaling on the global whale-watching tourism industry using unbalanced panel data model. The empirical results indicate that the resumption of commercial whaling has the potential for a negative effect on the global whale-watching industry, especially for nations that are engaged in whaling.
Estimating the Impact of Whaling on Global Whale Watching
After a commercial whaling moratorium was enacted in 1986, whale watching became one of the fastest growing tourism industries worldwide. As whaling is regarded as an activity that is incompatible with whale watching, the possible resumption of commercial whaling has caused an urgent need to investigate the potential negative effects of whaling on the whale-watching industry. We examine the potential impacts of whaling on the global whale-watching tourism industry using an unbalanced panel data model. The empirical results indicate that the resumption of commercial whaling has the potential for a negative effect on the global whale-watching industry, especially for nations that are engaged in whaling.Global whale watching; Commercial whaling; Delay-difference equation model; Unbalanced panel data model
NAVIGATION SUPPORT AND SOCIAL VISUALIZATION FOR PERSONALIZED E-LEARNING
A large number of educational resources is now made available on the Web to support both regular classroom learning and online learning. However, the abundance of available content produced at least two problems: how to help students to find the most appropriate resources and how to engage them into using these resources and benefit from them. Personalized and social learning have been suggested as potential ways to address these problems.
This work attempts to combine the ideas of personalized and social learning by
providing navigation support through an open social student modeling visualization. A series of classroom studies exploited the idea of the approach and revealed promising results, which demonstrated the personalized guidance and social visualization combined helped students to find the most relevant resources of parameterized self-assessment questions for Java programming. Thus, this dissertation extend the approach to a larger collection of learning objects for cross content navigation and verify its capability of supporting social visualization for personalized E-Learning.
The study results confirm that working with the non-mandatory system, students enhanced the learning quality in increasing their motivation and engagement. They successfully achieved better learning results. Meanwhile, incorporating a mixed collection of content in the open social student modeling visualizations effectively led the students to work at the right level of questions. Both strong and weak student worked with the appropriate levels of questions for their readiness accordingly and yielded a consistent performance across all three levels of complexities. Additionally, providing a more realistic content collection on the navigation supported open social student modeling visualizations results in a uniform performance in the group. The classroom study revealed a clear pattern of social guidance, where the stronger students left the traces for weaker ones to follow. The subjective evaluation confirms the design of the interface in terms of the content organization. Students’ positive responses also compliment the objective system usage data
Progressor: Social navigation support through open social student modeling
The increased volumes of online learning content have produced two problems: how to help students to find the most appropriate resources and how to engage them in using these resources. Personalized and social learning have been suggested as potential ways to address these problems. Our work presented in this paper combines the ideas of personalized and social learning in the context of educational hypermedia. We introduce Progressor, an innovative Web-based tool based on the concepts of social navigation and open student modeling that helps students to find the most relevant resources in a large collection of parameterized self-assessment questions on Java programming. We have evaluated Progressor in a semester-long classroom study, the results of which are presented in this paper. The study confirmed the impact of personalized social navigation support provided by the system in the target context. The interface encouraged students to explore more topics attempting more questions and achieving higher success rates in answering them. A deeper analysis of the social navigation support mechanism revealed that the top students successfully led the way to discovering most relevant resources by creating clear pathways for weaker students. © 2013 Taylor and Francis Group, LLC
INTERNATIONALIZATION OF HOSPITALITY EDUCATION IN TAIWAN: THE CAST AT A PUBLIC UNIVERSITY
The main purpose of this study is to explore the ways in which internationalization of hospitality education in Taiwan has grown and changed over time. Literature related to recent strategies and policies in internationalizing Taiwan's higher education and hospitality education are reviewed. A qualitative case study approach was adopted to learn what strategies a public vocational university has adopted to make it successful. The findings shows that some patterns of development are identified, and numerous strengths and challenges in institutional strategies are revealed. An in-depth critical analysis of the case leads to recommendations for institutional governance and operations in internationalization initiatives
Effects of Serotonin and Noradrenaline on Neuroplasticity and Excitability of The Primary Motor Cortex in Humans
An Analysis of the Patent Linkage System and Development of the Biosimilar Industry in Taiwan
In 2019, as an effort to join the Trans-Pacific Partnership (TPP) Agreement (now Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP)), Taiwan has implemented the patent linkage system which covers both small molecule generic drugs and large molecule biosimilar into the Pharmaceutical Affair Act. The system modeled after the U.S.’s patent linkage system designed for small molecule drugs under the Hatch Waxman Act (HWA). Based on the experience of the patent linkage system under the HWA, biosimilar industry representatives in Taiwan contended that the adoption of the patent linkage system will be detrimental to the development of local industry. By adopting patent linkage system, foreign biologics company would implement evergreening strategies to delay the marketing of locally produced biosimilar, conduct improper patent listing, and to abuse the granting of automatic stays. This article critically evaluates whether Taiwan’s patent linkage system could serve the dual goal of fostering biologic innovation and promoting biosimilar industry development by examining patent linkage systems for biosimialrs in the U.S, South Korea and Taiwan. This article argues that this dual goal could be achieved if the method of manufacturing patents could be included in patent listings and through a wider institutional collaboration between Taiwan Food and Drug Regulation Agency and Taiwan Intellectual Property Office
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