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Showing 1 to 15 of 21 results Save | Export
Mikheeva, Ekaterina, Ed.; Meyer, Sebastian, Ed. – International Association for the Evaluation of Educational Achievement, 2020
IEA's International Computer and Information Literacy Study (ICILS) 2018 is designed to assess how well students are prepared for study, work, and life in a digital world. The study measures international differences in students' computer and information literacy (CIL): their ability to use computers to investigate, create, participate, and…
Descriptors: International Assessment, Computer Literacy, Information Literacy, Computer Assisted Testing
Fraillon, Julian, Ed.; Ainley, John, Ed.; Schulz, Wolfram, Ed.; Friedman, Tim, Ed.; Duckworth, Daniel, Ed. – International Association for the Evaluation of Educational Achievement, 2020
IEA's International Computer and Information Literacy Study (ICILS) 2018 investigated how well students are prepared for study, work, and life in a digital world. ICILS 2018 measured international differences in students' computer and information literacy (CIL): their ability to use computers to investigate, create, participate, and communicate at…
Descriptors: International Assessment, Computer Literacy, Information Literacy, Computer Assisted Testing
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Cohn, Stephen T.; Fraser, Barry J. – Learning Environments Research, 2016
In order to investigate the effectiveness of using Student Response Systems (SRS) among grade 7 and 8 science students in New York, the How Do You Feel About This Class? (HDYFATC) questionnaire was administered to 1097 students (532 students did use SRS and 565 students who did not use SRS). Data analyses attested to the sound factorial validity…
Descriptors: Audience Response Systems, Educational Environment, Attitudes, Achievement
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Pennings, Helena J. M. – Complicity: An International Journal of Complexity and Education, 2017
In the present study, complex dynamic systems theory and interpersonal theory are combined to describe the teacher-student interactions of two teachers with different interpersonal styles. The aim was to show and explain the added value of looking at different steps in the analysis of behavioral time-series data (i.e., observations of teacher and…
Descriptors: Teacher Student Relationship, Case Studies, Interpersonal Relationship, Questionnaires
Köhler, Hannah, Ed.; Weber, Sabine, Ed.; Brese, Falk, Ed.; Schulz, Wolfram, Ed.; Carstens, Ralph, Ed. – International Association for the Evaluation of Educational Achievement, 2018
The IEA's International Civic and Citizenship Education Study (ICCS) investigates the ways in which young people are prepared to undertake their roles as citizens in a range of countries in the second decade of the 21st century. ICCS 2016 is the second cycle of a study initiated in 2009. The ICCS 2016 user guide describes the content and format of…
Descriptors: Guides, Citizenship Education, Citizen Participation, Citizenship Responsibility
Schulz, Wolfram, Ed.; Losito, Bruno, Ed.; Carstens, Ralph, Ed.; Fraillon, Julian, Ed. – International Association for the Evaluation of Educational Achievement, 2018
The IEA's International Civic and Citizenship Education Study (ICCS) investigates the ways in which young people are prepared to undertake their roles as citizens in a range of countries in the second decade of the 21st century. ICCS 2016 is the second cycle of a study initiated in 2009. This technical report follows the publication of several…
Descriptors: Citizenship Education, Comparative Education, Citizen Participation, Citizenship Responsibility
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Fröjd, Sari; Saaristo, Vesa; Ståhl, Timo – School Leadership & Management, 2014
Monitoring bullying behaviours is the key aspect of a successful anti-bullying intervention. Questionnaires among pupils and principals of the same schools were utilised to measure the agreement between pupil-reported frequency and principals' estimations of the prevalence of frequent bullying in the same schools and to identify monitoring methods…
Descriptors: Bullying, Student Behavior, Intervention, Questionnaires
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Chow, Kui Foon; Kennedy, Kerry John – Educational Research and Evaluation, 2014
International large-scale assessments are now part of the educational landscape in many countries and often feed into major policy decisions. Yet, such assessments also provide data sets for secondary analysis that can address key issues of concern to educators and policymakers alike. Traditionally, such secondary analyses have been based on a…
Descriptors: Measurement, Data Analysis, Educational Assessment, Multivariate Analysis
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Regasa, Guta; Taha, Mukerem – Journal of Education and Practice, 2015
The objectives of the study were to assess the current status of the academic performance of females in grade seven and eight and to study how perception of parents affect the academic performance of female students in Kutto Sorfella Primary School, Sodo Zuria Woreda, SNNPR, Ethiopia. To achieve the objectives of this research both qualitative and…
Descriptors: Foreign Countries, Parent Attitudes, Females, Womens Education
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Liu, Jing Dong; Chung, Pak Kwong – Measurement in Physical Education and Exercise Science, 2014
The current study presents the development process and initial validation of a measure designed for assessing psychological needs satisfaction in a secondary school physical education context (Psychological Needs Satisfaction Scale in Physical Education, PNSSPE). Junior secondary school (grades 7 to 9) students (N?=?1,258) were invited to…
Descriptors: Test Construction, Test Validity, Psychological Evaluation, Needs Assessment
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Kinnebrew, John S.; Loretz, Kirk M.; Biswas, Gautam – Journal of Educational Data Mining, 2013
Computer-based learning environments can produce a wealth of data on student learning interactions. This paper presents an exploratory data mining methodology for assessing and comparing students' learning behaviors from these interaction traces. The core algorithm employs a novel combination of sequence mining techniques to identify deferentially…
Descriptors: Data Analysis, Middle School Students, Information Retrieval, Student Behavior
National Assessment Governing Board, 2012
For more than four decades the National Assessment of Educational Progress (NAEP) has tracked the achievement of U.S. students in major academic subjects. This national resource is the only assessment that states and now many urban districts can look to as an objective yardstick of their performance over time, relative to national benchmarks, and…
Descriptors: Academic Achievement, Data Collection, Information Needs, Needs Assessment
Foy, Pierre, Ed.; Arora, Alka, Ed.; Stanco, Gabrielle M., Ed. – International Association for the Evaluation of Educational Achievement, 2013
TIMSS measures trends in mathematics and science achievement at the fourth and eighth grades in participating countries around the world, while also monitoring curricular implementation and identifying promising instructional practices. Conducted on a regular 4-year cycle, TIMSS has assessed mathematics and science in 1995, 1999, 2003, 2007, and…
Descriptors: Academic Achievement, Guides, Databases, International Studies
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El-Ebyary, Khaled; Windeatt, Scott – International Journal of English Studies, 2010
InWhile research in second language writing suggests that instructor feedback can have a positive influence on students' written work, the provision of such feedback on a regular basis can be problematic, especially with larger student numbers. A number of computer programs that claim to provide both automatic computer-based holistic scores and…
Descriptors: Feedback (Response), Student Attitudes, Computers, Foreign Countries
Gong, Yue; Rai, Dovan; Beck, Joseph E.; Heffernan, Neil T. – International Working Group on Educational Data Mining, 2009
In this study, we are interested to see the impact of self-discipline on students' knowledge and learning. Self-discipline can influence both learning rate as well as knowledge accumulation over time. We used a Knowledge Tracing (KT) model to make inferences about students' knowledge and learning. Based on a widely used questionnaire, we measured…
Descriptors: Data Analysis, Self Control, Knowledge Level, Learning
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