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Myint?Swe?Khine Barry?J.?FraserEmail author Ernest?Afari Zeya?Oo Thein?Thein?Kyaw 《Learning Environments Research》2018,21(1):135-152
We investigated students’ perceptions of their science classroom environments with the use of the What Is Happening In this Class? (WIHIC) questionnaire at the university level in Myanmar. The translated questionnaire was administered to 251 students in first-year science classes at a university. Both exploratory factor analysis and confirmatory factor analysis supported the reliability and factorial validity of the Myanmar version of the WIHIC. The constructs of the WIHIC were significantly correlated, but gender differences were not detected in correlations between WIHIC scales. Future research is needed to see if our Myanmar version of the WIHIC fits other samples in schools and universities in this context. It is also suggested that future studies include measures of student attitudes and academic achievement to permit investigation of associations between the learning environment and student outcomes in this country. 相似文献
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Evaluation is a major driving force in advancing the state of the art in language technologies. In particular, methods for automatically assessing the quality of machine output is the preferred method for measuring progress, provided that these metrics have been validated against human judgments. Following recent developments in the automatic evaluation of machine translation and document summarization, we present a similar approach, implemented in a measure called POURPRE, an automatic technique for evaluating answers to complex questions based on n-gram co-occurrences between machine output and a human-generated answer key. Until now, the only way to assess the correctness of answers to such questions involves manual determination of whether an information “nugget” appears in a system's response. The lack of automatic methods for scoring system output is an impediment to progress in the field, which we address with this work. Experiments with the TREC 2003, TREC 2004, and TREC 2005 QA tracks indicate that rankings produced by our metric correlate highly with official rankings, and that POURPRE outperforms direct application of existing metrics.
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| Dina Demner-FushmanEmail: |
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Jonhendro Goh Bee Ching Rohazna Wahab Wang Meei Leng Jimmy Tan Lip Aun Eugene Yeoh Oon Hock W. K. Koo 《The Internet and Higher Education》2001,4(3-4)
The democratization of education has brought forth an unprecedented demand for education by the masses, especially at the tertiary level. However, the availability of education is hampered by limited resources to provide pervasive and effective teacher–student interaction, changing lifestyle patterns, changing expectations of the students, and the problems associated with the great urban–rural divide and nonuniform access. The problem of availability of education is compounded by the tide of globalization and the Internet that demands not only high efficiency but also competitive delivery of services and goods in all sectors of our economy, including education. Education is not immune to these current trends. It is imperative that education institutions rise up to the challenge in meeting the demand of a more discerning, discriminating, mobile, and selective student population. It is imperative that education institutions reconsider the necessary ingredients to make learning effective, relevant, and fun for the students. Our company, Kolej Damansara Utama (KDU), has embarked on an education experiment begun almost 3 years ago to implement a student-centered, teacher-facilitated, Information and Communications Technology (ICT)-enabled and knowledge-based initiative. The goal of this experiment has been to create an active learning environment, and to promote learning for our students. The knowledge ecosystem, comprising students, teachers, administrators, parents, partner institutions, employers, and the community at large, forms the KDU e-Community Network (KCN). The KCN enables passive, interactive, collaborative, and constructive learning to take place as long as the stakeholder has a connection to the Internet. 相似文献
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The purpose of this study was to explore the factors that contributed to the academic success of Haitian‐American women. This study was also conducted to determine if factors attributed to by academically successful Haitian women are related to selected demographic characteristics. Two hundred and thirteen Haitian women selected from the National Haitian Student Alliance, with at least a Bachelor’s degree, participated. They completed an online survey designed to elicit demographic information and their perception of the factors. Our results indicate that self‐motivation, financial assistance, access to resources, self‐perception and time management are among the most important factors that contributed to their academic success. Less important are community support and knowledge of a second language. Statistically significant relationships were found between a linear combination of the 16 success factors and only the following demographic characteristics: birthplace, years taken to complete college, father’s level of education and participant’s residence region. 相似文献
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ABSTRACT The purpose of this study was to describe and compare three word recognition abilities of reading disabled students. One hundred and fifty (150) reading disabled pupils, 75 elementary and 75 high school, were randomly selected to participate in this study. Correlated t‐test procedures were used to process the data. The dependent variables were the students’ analytical, phonics, and context analysis word recognition abilities as measured by the Wide Range Achievement Test, Stanford Diagnostic Reading Test, and 12 cloze passages. Results indicated that elementary and secondary reading disabled pupils have significant differences in their ability to use the three different word recognition abilities investigated. Implications for minimum competency testing in reading were discussed. 相似文献
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Cognitive diagnosis models (CDMs) continue to generate interest among researchers and practitioners because they can provide diagnostic information relevant to classroom instruction and student learning. However, its modeling component has outpaced its complementary component??test construction. Thus, most applications of cognitive diagnosis modeling involve retrofitting of CDMs to assessments constructed using classical test theory (CTT) or item response theory (IRT). This study explores the relationship between item statistics used in the CTT, IRT, and CDM frameworks using such an assessment, specifically a large-scale mathematics assessment. Furthermore, by highlighting differences between tests with varying levels of diagnosticity using a measure of item discrimination from a CDM approach, this study empirically uncovers some important CTT and IRT item characteristics. These results can be used to formulate practical guidelines in using IRT- or CTT-constructed assessments for cognitive diagnosis purposes. 相似文献
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ABSTRACTIn 2012 the Marmot Library Network implemented the Douglas County Library Model of ebook collection and circulation. By 2014 Marmot had loaded 838 ebooks purchased direct from publishers and independent authors to an Adobe Content Server, and made them available in an open source discovery layer based on VuFind. In late 2015, after 3 years of disappointing circulation and tedious acquisition processes, Marmot decided to move some of this collection to OverDrive and abandon the local ACS. This article reports lessons learned from that experiment.Column Editor’s Note This column focuses on formal collaboration and networking among libraries through consortia. It offers in-depth examinations of issues facing modern library consortia including (but not limited to) e-resource licensing, ebooks, next generation integrated library systems, shared print programs, shared digital repositories, governance, cooperative services and other relevant topics. Contributions are accepted for this column and must be submitted to George Machovec (george@coalliance.org). Contact the column editor for suggested topics, deadlines and formatting. 相似文献
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This article used the Wald test to evaluate the item‐level fit of a saturated cognitive diagnosis model (CDM) relative to the fits of the reduced models it subsumes. A simulation study was carried out to examine the Type I error and power of the Wald test in the context of the G‐DINA model. Results show that when the sample size is small and a larger number of attributes are required, the Type I error rate of the Wald test for the DINA and DINO models can be higher than the nominal significance levels, while the Type I error rate of the A‐CDM is closer to the nominal significance levels. However, with larger sample sizes, the Type I error rates for the three models are closer to the nominal significance levels. In addition, the Wald test has excellent statistical power to detect when the true underlying model is none of the reduced models examined even for relatively small sample sizes. The performance of the Wald test was also examined with real data. With an increasing number of CDMs from which to choose, this article provides an important contribution toward advancing the use of CDMs in practical educational settings. 相似文献