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Moll, Rachel; Nielsen, Wendy – International Journal of Science Education, Part B: Communication and Public Engagement, 2017
The purpose of this study is to describe the development and validation of a survey that examines science students' social media learning behaviours. Inherent in critiques regarding "digital natives" is a need to better understand what the current generation of learners actually do in their social media practices for…
Descriptors: Test Construction, Test Validity, Student Surveys, Social Media
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El-Mowafy, Ahmed – Assessment & Evaluation in Higher Education, 2014
Fieldwork training is a key component of several practical disciplines. In this study, students' peer assessment of fieldwork is explored as a method to improve their practical training. Peer assessment theories are first discussed. A framework for peer assessment of fieldwork is proposed, and the steps taken for preparation of students for this…
Descriptors: Peer Evaluation, Field Experience Programs, Feedback (Response), Undergraduate Students
OECD Publishing, 2013
The Programme for the International Assessment of Adult Competencies (PIAAC) has been planned as an ongoing program of assessment. The first cycle of the assessment has involved two "rounds." The first round, which is covered by this report, took place over the period of January 2008-October 2013. The main features of the first cycle of…
Descriptors: International Assessment, Adults, Skills, Test Construction
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Pachana, Nancy A.; Brilleman, Sam L.; Dobson, Annette J. – Psychological Assessment, 2011
The number of life events reported by study participants is sensitive to the method of data collection and time intervals under consideration. Individual characteristics also influence reporting; respondents with poor mental health report more life events. Much current research on life events is cross-sectional. Data from a longitudinal study of…
Descriptors: Foreign Countries, Experience, Females, Individual Characteristics
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Sheret, Michael – Comparative Education Review, 1984
Addresses applications of the coefficient of variation as a measure of educational inequality or as a means of measuring changes of inequality status. Suggests the Gini coefficient has many advantages over the coefficient of variation since it can be used with the Lorenz curve (Lorenz provides detail Gini omits). (BRR)
Descriptors: Analysis of Variance, Comparative Analysis, Comparative Education, Data Analysis