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Prins, Gjalt T.; Bulte, Astrid M. W.; Pilot, Albert – Science Education, 2016
One of the challenges of science education is to integrate activities, content, and tools in a meaningful manner. One way to address this challenging goal is the transformation of authentic scientific practices into contexts for learning, in line with sociocultural activity theory. In this respect, authentic scientific practices are interpreted as…
Descriptors: Science Education, Science Activities, Instructional Design, Science Curriculum
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Beck, Judith; Perkins, James – Physics Teacher, 2016
Students in introductory physics classes often have difficulty recognizing the relevance of physics concepts outside the confines of the physics classroom, lab, and textbook. Even though textbooks and instructors often provide examples of physics applications from a wide array of areas, students have difficulty relating physics to their own lives.…
Descriptors: Science Instruction, Physics, Relevance (Education), Science Process Skills
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Jaquette, Ozan; Parra, Edna – Research in Higher Education, 2016
The Integrated Postsecondary Education System (IPEDS) collects data on Title IV institutions. The Delta Cost Project (DCP) integrated data from multiple IPEDS survey components into a public-use longitudinal dataset. The DCP Database was the basis for dozens of journal articles and a series of influential policy reports. Unfortunately, a flaw in…
Descriptors: Databases, Educational Legislation, Federal Legislation, Higher Education
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Saliyeva, Aigul Z.; Zhumabekova, Fatima N.; Kashkynba?, Bayzhuman B.; Saurbekova, Gulmira; Tauasarova, Danara; Toktarbaev, Darkhan; Sakenov, Janat – International Journal of Environmental and Science Education, 2016
The study covers the issue of students' ability to use digital educational resources in their professional activity in which reflects their future professional work. Levels of students' readiness to use digital educational resources in their professional activity are identified. The Model of students' ability to use digital educational resources…
Descriptors: Educational Technology, Technology Uses in Education, Technological Literacy, Readiness
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Laguilles, Jerold S. – New Directions for Institutional Research, 2016
This chapter describes the background and process for collecting postgraduation outcomes data at a 4-year not-for-profit private college. The strategies, analyses, and reporting of this data-collection effort are highlighted with the use of a case study.
Descriptors: Private Colleges, Outcome Measures, Data Collection, Graduate Study
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Marzouk, Zahia; Rakovic, Mladen; Liaqat, Amna; Vytasek, Jovita; Samadi, Donya; Stewart-Alonso, Jason; Ram, Ilana; Woloshen, Sonya; Winne, Philip H.; Nesbit, John C. – Australasian Journal of Educational Technology, 2016
Learning analytics are often formatted as visualisations developed from traced data collected as students study in online learning environments. Optimal analytics inform and motivate students' decisions about adaptations that improve their learning. We observe that designs for learning often neglect theories and empirical findings in learning…
Descriptors: Science Education, Science Instruction, Data Collection, Cooperation
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Weinbaum, Rebecca K.; Onwuegbuzie, Anthony J. – Journal of Educational Issues, 2016
In most qualitative research studies involving the creation of interview transcriptions, researchers seldom demonstrate much reflexivity about the transcription process, rarely making mention of transcription processes as part of their reporting of data collection and analysis procedures beyond a simple statement that audio- or videotaped data…
Descriptors: Data Collection, Data Analysis, Qualitative Research, Transcripts (Written Records)
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Markant, Douglas B.; Settles, Burr; Gureckis, Todd M. – Cognitive Science, 2016
Collecting (or "sampling") information that one expects to be useful is a powerful way to facilitate learning. However, relatively little is known about how people decide which information is worth sampling over the course of learning. We describe several alternative models of how people might decide to collect a piece of information…
Descriptors: Information Seeking, Search Strategies, Independent Study, Active Learning
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Pence, Harry E.; Williams, Antony J. – Journal of Chemical Education, 2016
The amount of computerized information that organizations collect and process is growing so large that the term Big Data is commonly being used to describe the situation. Accordingly, Big Data is defined by a combination of the Volume, Variety, Velocity, and Veracity of the data being processed. Big Data tools are already having an impact in…
Descriptors: Chemistry, Science Education, Data Collection, Data Analysis
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Ahmed, Shamila – International Journal of Social Research Methodology, 2016
In recent years there has been an increase in literature which has explored the insider/outsider position through ethnic identities. However, there remains a neglect of religious identities, even though it could be argued that religious identities have become increasingly important through being prominent in international issues such as the 'war…
Descriptors: Terrorism, Data Collection, Religion, Self Concept
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Mueller, Christopher – Working Papers in TESOL & Applied Linguistics, 2016
Etymologically, the word 'sarcasm' is derived from the Greek "sarkazein," meaning "to speak bitterly or sneer", or, more literally, "to tear flesh" ("sarcasm," 2014). Sarcasm, then, is far from a benign feature of language, and there appears to be an inherent acerbity, or even a note of provocation, located…
Descriptors: Negative Attitudes, Discourse Analysis, Social Media, Computer Mediated Communication
Smith, P. Sean; Esch, R. Keith; Hayes, Meredith L.; Plumley, Courtney L. – Horizon Research, Inc., 2016
This paper, presented at the 2016 [National Association for Research in Science Teaching] NARST Annual International Conference, summarizes the work to date of the Knowledge Assets to Support the Science Instruction of Elementary Teachers (ASSET) project. ASSET is exploring a method for collecting and synthesizing pedagogical content knowledge…
Descriptors: Pedagogical Content Knowledge, Science Instruction, Elementary School Teachers, Data Collection
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Glander, Mark – National Center for Education Statistics, 2016
This documentation is for the provisional version 2a file of the National Center for Education Statistics' (NCES) Common Core of Data (CCD) Public Elementary/Secondary School Universe Survey for School Year (SY) 2013-14. It contains a brief description of the data collection, along with information required to understand and access the data file.…
Descriptors: Elementary Secondary Education, School Surveys, State Departments of Education, Public Schools
Universities UK, 2016
Learning analytics provide a set of powerful tools to inform and support learners. They enable institutions and individuals to better understand and predict personal learning needs and performance. Universities already collect vast amounts of data about their student populations, but often this is underutilised. The current "state of the…
Descriptors: Educational Research, Data Collection, Data Analysis, Higher Education
Mauzy, Denise; Bull, Bruce; Gould, Tate – Center for IDEA Early Childhood Data Systems (DaSy), 2016
Since the initial authorizing legislation for Part C of the Individuals with Disabilities Education Act (IDEA) in 1986, the scope and complexity of data collected by Part C programs have significantly increased. Formal governance establishes responsibility for Part C data and enables program staff to improve the effectiveness of data processes and…
Descriptors: Disabilities, Educational Legislation, Federal Legislation, Equal Education
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