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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
Dart, Evan H.; Radley, Keith C.; Briesch, Amy M.; Furlow, Christopher M.; Cavell, Hannah J.; Briesch, Amy M. – Behavioral Disorders, 2016
Two studies investigated the accuracy of eight different interval-based group observation methods that are commonly used to assess the effects of classwide interventions. In Study 1, a Microsoft Visual Basic program was created to simulate a large set of observational data. Binary data were randomly generated at the student level to represent…
Descriptors: Observation, Intervention, Simulation, Statistical Analysis
Sireci, Stephen G. – Assessment in Education: Principles, Policy & Practice, 2016
A misconception exists that validity may refer only to the "interpretation" of test scores and not to the "uses" of those scores. The development and evolution of validity theory illustrate test score interpretation was a primary focus in the earliest days of modern testing, and that validating interpretations derived from test…
Descriptors: Test Validity, Misconceptions, Evaluation Utilization, Data Interpretation
Didis, Makbule Gozde; Erbas, Ayhan Kursat; Cetinkaya, Bulent; Cakiroglu, Erdinc; Alacaci, Cengiz – Mathematics Education Research Journal, 2016
Researchers point out the importance of teachers' knowledge of student thinking and the role of examining student work in various contexts to develop a knowledge base regarding students' ways of thinking. This study investigated prospective secondary mathematics teachers' interpretations of students' thinking as manifested in students' work that…
Descriptors: Preservice Teachers, Secondary School Teachers, Mathematics Teachers, Mathematical Models
Shaffer, David Williamson; Collier, Wesley; Ruis, A. R. – Journal of Learning Analytics, 2016
This paper provides a tutorial on epistemic network analysis (ENA), a novel method for identifying and quantifying connections among elements in coded data and representing them in dynamic network models. Such models illustrate the structure of connections and measure the strength of association among elements in a network, and they quantify…
Descriptors: Epistemology, Network Analysis, Data Analysis, Coding
Gillespie, Ann; Partridge, Helen; Bruce, Christine; Howlett, Alisa – Information Research: An International Electronic Journal, 2016
Introduction: This paper presents the findings from a project that investigated the lived experiences of library and information professionals in relation to evidence-based practice within an Australian public library. Method: The project employed ethnography, which allows holistic description of people's experiences within a particular community…
Descriptors: Foreign Countries, Evidence Based Practice, Public Libraries, Ethnography
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
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
Lashley, Carl A.; Stickl, Jaimie – Journal of Organizational and Educational Leadership, 2016
Data utilization is a key component of school improvement as data can be used to enhance student achievement both systematically and on an individual student level. Through systemically analyzing multiple sources of data, educators can make informed and knowledgeable school improvement decisions. In order to effectively make data-drive decisions…
Descriptors: Principals, School Counselors, Equal Education, Educational Cooperation
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
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
Bui, Ngot P. – ProQuest LLC, 2016
The emergence of social networks and social media has resulted in exponential increase in the amount of data that link diverse types of richly structured digital objects e.g., individuals, articles, images, videos, music, etc. Such data are naturally represented as heterogeneous networks with multiple types of objects e.g., actors, video,…
Descriptors: Social Media, Social Networks, Data Analysis, Network Analysis
Fahle, Erin; Reardon, Sean – Society for Research on Educational Effectiveness, 2016
Describing the variation in test scores between and within school districts is critical for: (1) for policy-related and descriptive work that investigates the sorting of students among districts and the differential effectiveness of those districts; and (2) for methodological work planning future experiments or interventions. Intraclass…
Descriptors: School Districts, Scores, Comparative Analysis, School Effectiveness
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
Cedefop - European Centre for the Development of Vocational Training, 2016
Cedefop has been conducting monitoring of the European Credit System for Vocational Education and Training (ECVET) implementation since 2010; this report covers developments from mid-2013 till 2015. It is based on national responses provided by the ECVET users' group from 28 EU Member States and four EFTA countries. The report examines whether…
Descriptors: Foreign Countries, Vocational Education, Stakeholders, Educational Policy