Volume 3 Issue 2 (December 2017)
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Popularity, as a manifestation of social status, has been widely researched and determined by group members. Prosocial behaviors are actions with intention of benefiting others or society as whole with little or no personal gain and may include helping, cooperating, and other voluntary works. Altruism is a type of prosocial behavior that could affect individuals' popularity. Altruism has been studied in different disciplines with the general definition of cooperative behavior that has a cost to the actor with a benefit to the receiver. The common theme in all perspectives is that there is an inevitable cost for the actor with a benefit to the receiver. During the current research, surveys and vignettes were used to collect data. Participants were recruited through an online site, and were compensated for their time and participation via payment of money. As a result of the research, it was observed that helpful behaviors were highly related to the items of empathy, likeability, and popularity. Findings suggest that when gratefulness and helpful behaviors are present, individuals are rated higher in several positive qualities. The unique finding of the study is that both gratefulness and altruism are highly effective resources in interpersonal relations. Purpose of the current study is to examine the relationship between altruistic behaviors that are towards friends and popularity by the endorsement of aforementioned hypotheses and theories.
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A Study of Video-Mediated Opportunities for Self-Directed Learning in Required Core Curriculum
self-directed learning self-regulated learning videos core curriculum...
Improving a required course in our curriculum that has proven to be a challenge for our students was the focus of this study. Surveys of both students and instructors attempted to identify specific problem areas. Using the information from these surveys, the researchers developed a series of videos to explain vital course concepts and deployed these into the course sections. The purpose of the videos is to provide consistency across the multiple modalities in which we offer our courses (including online, classroom and via videoconferencing) and to improve overall student understanding. This project seeks to determine how supplemental content focusing on material identified as “difficult,” by students and instructors, can impact student performance. Challenges include the deployment of the videos across various modalities and obtaining sufficient student feedback.
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Examining Mathematics Classroom Interactions: Elevating Student Roles in Teaching and Learning
problem posing responsive teaching identity mathematics teaching and learning...
This article introduces a model entitled, “Responsive Teaching through Problem Posing” or RTPP, that addresses a type of reform oriented mathematics teaching based on posing relevant problems, positioning students as experts of mathematics, and facilitating discourse. RTPP incorporates decades of research on students’ thinking in mathematics and more recent research on responsive teaching practices. Two classroom case studies are presented. A high school unit on functions is explored utilizing individual research on the part of the teacher to enact RTPP lessons. A middle school teacher enacts a RTPP lesson on proportions and utilizes this model to bridge students’ incorrect additive reasoning strategies with correct multiplicative reasoning strategies. The results showed that both teachers were able to elevate students’ roles in classroom discussions through implementation of RTPP. Individual research conducted by the high school teacher informed his RTPP approach while participation in professional development sessions with a classroom embedded component influenced the middle school teacher’s enactment of RTPP lessons. Both teachers used specific teacher moves within RTPP to relinquish their role as mathematics experts in order to elevate their students’ roles in classroom discussions. The RTPP cycle is offered as a potential model for studying mathematics teaching and learning across a variety of secondary mathematics classrooms.
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Measuring Teachers’ Assessment for Learning (AfL) Classroom Practices in Elementary Schools
assessment for learning measurement instrument rasch measurement formative assessment teacher professional development...
Assessment for Learning (AfL) may be conceptualized as minute-to-minute, day-by-day interactions between learners and teachers with the improvement of learning as the principal focus. This paper traces the development of an AfL measurement instrument (scale) that can be used for research purposes prior to, during and following professional development in the area. Rasch measurement procedures were applied to data drawn from a convenience sample of 594 teachers from 44 elementary schools in Ireland to create a scale consisting of 20 items distributed across four key AfL assessment strategies: learning intentions and success criteria, questioning and classroom discussion, feedback, and peer-and self-assessment. This scale, the Assessment for Learning Measurement instrument (AfLMi), has good psychometric properties and is interpretable in a way that makes it potentially useful during system wide improvement initiatives focused on AfL.
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Application of Principal Component Analysis (PCA) to Reduce Multicollinearity Exchange Rate Currency of Some Countries in Asia Period 2004-2014
principal component analysis (pca) multiple regression matrix var-cov exchange rate...
This study aims to apply the model Principal component Analysis to reduce multicollinearity on variable currency exchange rate in eight countries in Asia against US Dollar including the Yen (Japan), Won (South Korea), Dollar (Hongkong), Yuan (China), Bath (Thailand), Rupiah (Indonesia), Ringgit (Malaysia), Dollar (Singapore). It looks at yield levels of multicolinierity which is smaller in comparison with PCA applications using multiple regression. This study used multiple regression test and PCA application to investigate the differences in multicollinearity at yield. From this research, it can be concluded that the use of PCA analysis applications can reduce multicollinearity in variables in doing research.
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