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Biehler, Rolf; Frischemeier, Daniel; Podworny, Susanne – ZDM: The International Journal on Mathematics Education, 2018
Elements of statistical modeling can be implemented already in primary school. A prerequisite for this approach is that teachers are well-educated in this domain. Content knowledge, pedagogical content knowledge and (pedagogical) content related technological knowledge are core components of teacher education. We designed a course for elementary…
Descriptors: Preservice Teachers, Elementary School Teachers, Pedagogical Content Knowledge, Civics
Santos, Hugo; da Silva, Sofia Marques; Menezes, Isabel – Journal of Social Science Education, 2018
Purpose: This article explores different strands of educational discourse about sexual diversity in Portuguese schools, from the students' perspectives. Method: The methodological approach consisted in conducting focus groups discussions: 36 with 232 young students (H = 106, M = 126) in 12 public secondary schools. Findings: Students reveal a…
Descriptors: Foreign Countries, Secondary School Students, Student Attitudes, Student Diversity
Smith, Blaine E. – Written Communication, 2018
This study examined adolescents' perspectives on their multimodal composing goals and designs when creating digital projects in the context of an English Language Arts class. Sociocultural and social semiotics theoretical frameworks were integrated to understand six 12th grade students' viewpoints when composing three multimodal products--a…
Descriptors: Adolescents, Adolescent Attitudes, English Instruction, Language Arts
Chang, Hedy – Attendance Works, 2018
The California Department of Education (CDE) released statewide chronic absence data in December 2017 via DataQuest, an interactive data portal. To better understand chronic absence at the school level, Attendance Works collaborated with the Center for Regional Change at UC Davis and Children Now to analyze the data available from DataQuest and…
Descriptors: Attendance Patterns, Public Schools, Incidence, High School Students
Wang, Yuan; Paquette, Luc; Baker, Ryan – Journal of Learning Analytics, 2014
In this paper, we present progress towards a longitudinal study of the post-course career advancement of MOOC learners. We present initial results and analysis plans for how to link this to in-course behaviour, towards better understanding the goals of all MOOC learners.
Descriptors: Career Development, Longitudinal Studies, Online Courses, Educational Research
Berland, Matthew; Baker, Ryan S.; Blikstein, Paulo – Technology, Knowledge and Learning, 2014
Constructionism can be a powerful framework for teaching complex content to novices. At the core of constructionism is the suggestion that by enabling learners to build creative artifacts that require complex content to function, those learners will have opportunities to learn this content in contextualized, personally meaningful ways. In this…
Descriptors: Educational Research, Statistical Analysis, Cooperation, Researchers
Dunlap, Mickey; Studstill, Sharyn – Teaching Statistics: An International Journal for Teachers, 2014
The number of increases a particular stock makes over a fixed period follows a Poisson distribution. This article discusses using this easily-found data as an opportunity to let students become involved in the data collection and analysis process.
Descriptors: Experiential Learning, Learning Activities, Statistical Distributions, Probability
Milliron, Mark David; Malcolm, Laura; Kil, David – Research & Practice in Assessment, 2014
Civitas Learning was conceived as a community of practice, bringing together forward-thinking leaders from diverse higher education institutions to leverage insight and action analytics in their ongoing efforts to help students learn well and finish strong. We define insight and action analytics as drawing, federating, and analyzing data from…
Descriptors: Case Studies, Communities of Practice, Data Analysis, Higher Education
Raykov, Tenko; Marcoulides, George A. – Educational and Psychological Measurement, 2014
This research note contributes to the discussion of methods that can be used to identify useful auxiliary variables for analyses of incomplete data sets. A latent variable approach is discussed, which is helpful in finding auxiliary variables with the property that if included in subsequent maximum likelihood analyses they may enhance considerably…
Descriptors: Data Analysis, Identification, Maximum Likelihood Statistics, Statistical Analysis
Pardo, Abelardo; Siemens, George – British Journal of Educational Technology, 2014
The massive adoption of technology in learning processes comes with an equally large capacity to track learners. Learning analytics aims at using the collected information to understand and improve the quality of a learning experience. The privacy and ethical issues that emerge in this context are tightly interconnected with other aspects such as…
Descriptors: Ethics, Privacy, Learning, Data Analysis
DePaolo, Concetta A.; Wilkinson, Kelly – TechTrends: Linking Research and Practice to Improve Learning, 2014
Word clouds (or tag clouds) are popular, fun ways to display text data in graphical form; however, we contend that they can also be useful tools in assessment. Using word clouds, instructors can quickly and easily produce graphical depictions of text representing student knowledge. By investigating the patterns of words or phrases, or lack…
Descriptors: Visual Aids, Word Frequency, Student Evaluation, Formative Evaluation
Scheffel, Maren; Drachsler, Hendrik; Stoyanov, Slavi; Specht, Marcus – Educational Technology & Society, 2014
This article proposes a framework of quality indicators for learning analytics that aims to standardise the evaluation of learning analytics tools and to provide a mean to capture evidence for the impact of learning analytics on educational practices in a standardised manner. The criteria of the framework and its quality indicators are based on…
Descriptors: Data Analysis, Educational Indicators, Educational Practices, Evaluation Criteria
Lohr, Sharon; Schochet, Peter Z.; Sanders, Elizabeth – National Center for Education Research, 2014
Suppose an education researcher wants to test the impact of a high school drop-out prevention intervention in which at-risk students attend classes to receive intensive summer school instruction. The district will allow the researcher to randomly assign students to the treatment classes or to the control group. Half of the students (the treatment…
Descriptors: Educational Research, Research Design, Data Analysis, Intervention
Albus, Deb A.; Lazarus, Sheryl S.; Thurlow, Martha L. – National Center on Educational Outcomes, 2021
This is the 22nd report by the National Center on Educational Outcomes (NCEO) that describes how states publicly report assessment data for students with disabilities in K-12 schools in the United States. The purpose of this report is to examine the extent to which states reported 2018-19 assessment data for students with disabilities "to the…
Descriptors: Elementary Secondary Education, Students with Disabilities, Student Evaluation, Grade 4
Villani, Susan; Mundry, Susan; Cobb, Velma; Henry, Susan; Schlanger, Phoebe; Shaffer, Susan; Basterra, Maria del Rosario – Center for Education Equity, Mid-Atlantic Equity Consortium, 2021
This guide is designed to help teachers and administrators use data to continuously improve equity in schools. Educators can also use data to engage students, parents/guardians, the community, and others who want to make positive changes in schools to increase equity. The purposes of the guide are to: (1) Introduce MAEC's Equity Audit Tools as a…
Descriptors: Equal Education, Data Analysis, Audits (Verification), Educational Improvement

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