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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
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
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
Selent, Douglas; Patikorn, Thanaporn; Heffernan, Neil – Grantee Submission, 2016
In this paper, we present a dataset consisting of data generated from 22 previously and currently running randomized controlled experiments inside the ASSISTments online learning platform. This dataset provides data mining opportunities for researchers to analyze ASSISTments data in a convenient format across multiple experiments at the same time.…
Descriptors: Intelligent Tutoring Systems, Data, Randomized Controlled Trials, Electronic Learning
Soysal, Sümeyra; Arikan, Çigdem Akin; Inal, Hatice – Online Submission, 2016
This study aims to investigate the effect of methods to deal with missing data on item difficulty estimations under different test length conditions and sampling sizes. In this line, a data set including 10, 20 and 40 items with 100 and 5000 sampling size was prepared. Deletion process was applied at the rates of 5%, 10% and 20% under conditions…
Descriptors: Research Problems, Data Analysis, Item Response Theory, Test Items
Glesne, Corrine – Pearson, 2016
Beginning researchers get an overview of qualitative research through a concise look at the practice of conducting research and the theory and debates that keep qualitative inquiry vibrant. Ideal for introducing the novice researcher to the theory and practice of qualitative research, this text opens students to the diverse possibilities within…
Descriptors: Qualitative Research, Research Design, Research Methodology, Research Proposals
Majid al-Rifaie, Mohammad; Yee-King, Matthew; d'Inverno, Mark – International Educational Data Mining Society, 2016
This paper proposes a new technique for analysing the behaviour of students on an online course. This work considers a range of social learning behaviours supported in our recently designed and implemented collaborative learning system which supports students giving and receiving feedback on each other's developing work and practice. The course…
Descriptors: Student Behavior, Online Courses, Social Behavior, Data Analysis
Gulikers, Judith – AERA Online Paper Repository, 2016
This paper studies, using quantitative and qualitative data, the effectivity of a professional development approach in which a national summative assessment is used formatively to stimulate 19 teacher teams in Dutch secondary education to improve their data use for instruction and learning. The approach is based on conceptual similarities between…
Descriptors: Evidence Based Practice, Decision Making, Faculty Development, Summative Evaluation
Stevenson, Bradley – National Technical Assistance Center on Transition, 2016
Data-based decision making refers to collecting, analyzing, and reporting data to drive school improvement. This can apply to any level of the school from individual students to the entire system. When applied to the field of secondary transition, it refers to using data to drive decisions to improve the in-school and post-school success of…
Descriptors: Data Analysis, Data Use, Decision Making, Educational Improvement
P. Janelle McFeetors – Sage Research Methods Cases, 2016
This case study describes an experience of using constructivist grounded theory to analyze data. The project investigated how high school students improved their approaches to learning mathematics. Over 4 months, students participated in processes which supported their learning while simultaneously generating data, including interactive writing,…
Descriptors: High School Students, Mathematics Education, Data Analysis, Data Interpretation
Tremblay, Melissa; Kingsley, Bethan; Gokiert, Rebecca; Benthem, Gary – Journal of Community Engagement and Higher Education, 2018
Drawing on a community-university (CU) partnership between a non-profit organization that serves teen families, a housing organization and a university, this paper discusses the opportunities and challenges that can arise when engaging vulnerable youth in research. Through this paper, we share reflections on promising practices and ethical…
Descriptors: Disadvantaged Youth, At Risk Persons, Adolescents, Early Parenthood
Courtney, Steven J. – Journal of Educational Administration and History, 2018
This article focuses on the changes that the election of Donald Trump enables in education policy domestically and in education discourse internationally. I argue that Trump's own charismatic leadership style is a distraction from the privatisation that it is facilitating through Betsy DeVos, Trump's appointment as US Education Secretary. I draw…
Descriptors: Presidents, Instructional Leadership, Commercialization, Educational Change
Albareda-Tiana, Silvia; Vidal-Raméntol, Salvador; Fernández-Morilla, Mónica – International Journal of Sustainability in Higher Education, 2018
Purpose: The purpose of this case study is to explore the principles and practices of sustainable development (SD) in the university curriculum. Design/methodology/approach: To explore the principles linked with the sustainable development goals (SDGs) and the learning and teaching practices in sustainability at the International University of…
Descriptors: Foreign Countries, Program Implementation, Sustainable Development, Universities
Haegele, Justin; Zhu, Xihe; Davis, Summer – International Journal of Inclusive Education, 2018
The purpose of this study was to explore the barriers and facilitators to participation in physical education (PE) for students with disabilities (SWD) from the perspectives of in-service physical educators. A convenience sample of 168 physical educators (72% female, 94% Caucasian) from the United States completed a short questionnaire. After data…
Descriptors: Inclusion, Barriers, Disabilities, Physical Education

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