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Christine DeMars 《教育实用测度》2015,28(1):1-13
In generalizability theory studies in large-scale testing contexts, sometimes a facet is very sparsely crossed with the object of measurement. For example, when assessments are scored by human raters, it may not be practical to have every rater score all students. Sometimes the scoring is systematically designed such that the raters are consistently grouped throughout the scoring, so that the data can be analyzed as raters nested within teams. Other times, rater pairs are randomly assigned for each student, such that each rater is paired with many other raters at different times. One possibility for this scenario is to treat the data as if raters were nested within students. Because the raters are not truly independent across all students, the resulting variance components could be somewhat biased. This study illustrates how the bias will tend to be small in large-scale studies. 相似文献
204.
The experiences of lesbian, gay, trans (The use of trans with an asterisk avoids the use of transsexual or transgender and promotes recognition of the inadequacy of such labels), bisexual and intersex (LGBTI) student teachers were recently investigated at a New Zealand faculty of education. Student teachers studying in early childhood education and care, primary and secondary initial teacher education (ITE) were asked about their perceptions of LGBTI visibility and inclusion. Methods used were online questionnaires, focus groups and individual interviews. While the study encompassed all aspects of the ITE programme, this work uses one specific question about practicum from the questionnaire, and findings related to practicum and teaching from the focus groups and individual interviews. In this article, the experiences of LGBTI (those who identified as non-heterosexual) student teachers and “straight” (those who identified as heterosexual) are discussed. Findings suggest that both faculty and practicum settings are heteronormative and indicate that LGBTI student teachers felt uncertain about their safety. Both LGBTI and straight students felt they had not been given adequate preparation to manage the complexities of diverse sexualities on practicum or in their future teaching. We argue that addressing heteronormativity in ITE will better prepare student teachers for the rich diversity of students and families they will encounter in their teaching. 相似文献
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Soo Jin Lee Jaehong Shin 《International Journal of Science and Mathematics Education》2015,13(2):329-355
In the present study, we describe a participating student’s (Carol’s) distributive partitioning scheme and operations along with Steffe’s and his colleagues’ studies about children’s constructions of fraction knowledge as a particular model of mathematical learning. Analysis of Carol’s mathematical behaviors indicates that an operationally common mathematical behavior (distributive partitioning operation) was revealed in various mathematical problem situations such as fraction multiplication, fraction division, and multiplicative transformation between fractional quantities. It both provides a rationale for why becoming versed in one mathematical subject could facilitate working with another mathematical subject and also implies the necessity of describing and defining students’ mathematical behaviors from an operational view of knowledge, which might lead to building foundations of a substantial cognitive map for students’ mathematical development. 相似文献
207.
Higher Education - Literature offers a theoretical framework exemplifying the inherent tensions between “becoming Chinese” and “remaining global” in the evolution of the... 相似文献
208.
Kwon Wonju Ha Jung Hee Jang Hansori Lee Donghun 《International journal for the advancement of counseling》2022,44(2):283-297
International Journal for the Advancement of Counselling - The current study investigated the mediation effect of self-focused attention on the relationship between South Korean novice... 相似文献
209.
Teaching About Electricity in Primary School Multimodality and Variation Theory as Analytical Lenses
Research in Science Education - Primary school topics involving abstract concepts are challenging to teach. Electric circuits can be simply constructed but complex to explain. New approaches in... 相似文献
210.
Li Zhao Yi Zheng Junbang Zhao Guoqiang Li Brian J. Compton Rui Zhang Fang Fang Gail D. Heyman Kang Lee 《Child development》2023,94(4):922-940
Academic cheating is common, but little is known about its early emergence. It was examined among Chinese second to sixth graders (N = 2094; 53% boys, collected between 2018 and 2019) using a machine learning approach. Overall, 25.74% reported having cheated, which was predicted by the best machine learning algorithm (Random Forest) at a mean accuracy of 81.43%. Cheating was most strongly predicted by children's beliefs about the acceptability of cheating and the observed prevalence and frequency of peer cheating at school. These findings provide important insights about the early development of academic cheating, and how to promote academic integrity and limit cheating before it becomes entrenched. The present research demonstrates that machine learning can be effectively used to analyze developmental data. 相似文献