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11.
Alandeom W. Oliveira Huseyin Colak Valarie L. Akerson 《Cultural Studies of Science Education》2009,4(1):89-132
In this study we examine how elementary teachers in Brazil and Turkey approached the translation and subsequent classroom
implementation of an instructional activity that promotes environmental awareness through a combination of student role playing
and teacher oral delivery of an environmental story about river pollution. A discourse analysis showed that translation into
Portuguese was literal, an approach that fostered a classroom implementation that emphasized detached transmission of knowledge
(the teacher frequently interrupted her delivery to provide textual, contextual and recontextualizing information to students).
In contrast, translation into Turkish was free, that is, with many modifications that led to a decontextualized and detached
text. Implementation of this text was focused on the creation of student involvement, being dominated by oral strategies such
as religious analogies (heaven and hell), and parallel repetitions of statements of shared guilt. Based on these findings,
it was concluded that neither translation promoted an equivalent form of environmental instruction (i.e., involved transmission
of environmental knowledge). Furthermore, an argument is made that effective translation requires that original and translated
curricula foster analogous levels of involvement (or detachment) as well as equivalent forms of classroom relationships and
social roles (pragmatic equivalence).
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| Alandeom W. OliveiraEmail: |
12.
The widespread availability of the Internet and the variety of Internet-based applications have resulted in a significant increase in the amount of web pages. Determining the behaviors of search engine users has become a critical step in enhancing search engine performance. Search engine user behaviors can be determined by content-based or content-ignorant algorithms. Although many content-ignorant studies have been performed to automatically identify new topics, previous results have demonstrated that spelling errors can cause significant errors in topic shift estimates. In this study, we focused on minimizing the number of wrong estimates that were based on spelling errors. We developed a new hybrid algorithm combining character n-gram and neural network methodologies, and compared the experimental results with results from previous studies. For the FAST and Excite datasets, the proposed algorithm improved topic shift estimates by 6.987% and 2.639%, respectively. Moreover, we analyzed the performance of the character n-gram method in different aspects including the comparison with Levenshtein edit-distance method. The experimental results demonstrated that the character n-gram method outperformed to the Levensthein edit distance method in terms of topic identification. 相似文献
13.
Hüseyin Bicen Fezile Ozdamli Hüseyin Uzunboylu 《Interactive Learning Environments》2013,21(4):529-548
In this study, an e-learning environment was designed for teacher candidates. Teacher candidates developed multimedia-based projects by means of multimedia tools. This research aims to determine the effects of online and blended learning approaches on the success level of multimedia projects and the teacher candidates' attitudes, opinions and perceptions on e-learning. This study used a combination of qualitative and quantitative methods. There were two different groups in the study: online and blended groups. The online and the blended groups consisted of 30 and 32 teacher candidates, respectively. Teacher candidates in the blended group developed multimedia-based projects and shared information communicating in a WiziQ and Facebook environment with their peers and instructors when they were not at school. On the other hand, the teacher candidates in the online group communicated with their instructors and peers only in a WiziQ and Facebook environment. The results showed that the blended learning approach was more effective than the online learning approach. The usability of online learning and blended learning in higher education is addressed in recommendations for future research and practice. 相似文献
14.
The purpose of this study is to find out the differences in e-learning competences of teachers. The independent variables
used were geographic location, teaching experience, Internet access, e-learning training needs, ICT teacher/non-ICT teachers,
and status. A questionnaire was developed to examine the e-learning competencies of vocational high-school teachers in North
Cyprus. Findings reveal that the e-learning competencies of teachers in North Cyprus can be classified according to technology-based
e-learning, web-based e-learning, and administrative e-learning. In addition, there is an e-learning divide between those
teachers who are experienced and those who are not, those who have limited Internet access and those who have unlimited Internet
access, those who have less training needs and those who have more training needs, and between ICT teachers and non-ICT teachers. 相似文献
15.
Privacy-preserving collaborative filtering is an emerging web-adaptation tool to cope with information overload problem without jeopardizing individuals’ privacy. However, collaborative filtering with privacy schemes commonly suffer from scalability and sparseness as the content in the domain proliferates. Moreover, applying privacy measures causes a distortion in collected data, which in turn defects accuracy of such systems. In this work, we propose a novel privacy-preserving collaborative filtering scheme based on bisecting k-means clustering in which we apply two preprocessing methods. The first preprocessing scheme deals with scalability problem by constructing a binary decision tree through a bisecting k-means clustering approach while the second produces clones of users by inserting pseudo-self-predictions into original user profiles to boost accuracy of scalability-enhanced structure. Sparse nature of collections are handled by transforming ratings into item features-based profiles. After analyzing our scheme with respect to privacy and supplementary costs, we perform experiments on benchmark data sets to evaluate it in terms of accuracy and online performance. Our empirical outcomes verify that combined effects of the proposed preprocessing schemes relieve scalability and augment accuracy significantly. 相似文献