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Moriña, Anabel; Cortés-Vega, M. Dolores; Molina, Víctor M. – Teaching in Higher Education, 2015
Adequate policies for faculty training in diversity continue to be pending on the agendas of many universities. This paper presents the recommendations of 44 university students with disabilities not only for adequate faculty training, but also on informing them on both matters of the disability itself and how to respond to the needs derived from…
Descriptors: Foreign Countries, College Faculty, College Students, Student Attitudes
Lowes, Susan; Lin, Peiyi; Kinghorn, Brian – Journal of Learning Analytics, 2015
As enrolment in online courses has grown and LMS data has become accessible for analysis, researchers have begun to examine the link between in-course behaviours and course outcomes. This paper explores the use of readily available LMS data generated by approximately 700 students enrolled in the 12 online courses offered by Pamoja Education, the…
Descriptors: Integrated Learning Systems, Student Behavior, Online Courses, Asynchronous Communication
Nelson, Amy Grack; Cohn, Sarah – Journal of Museum Education, 2015
Museums often evaluate various aspects of their audiences' experiences, be it what they learn from a program or how they react to an exhibition. Each museum program or exhibition has its own set of goals, which can drive what an evaluator studies and how an evaluation evolves. When designing an evaluation, data collection methods are purposefully…
Descriptors: Data Collection, Research Methodology, Program Evaluation, Museums
Bülbül, M. S. – Themes in Science and Technology Education, 2015
This article proposes a methodology that could assist teachers in understanding their students' primary needs or interests to decide on the kind of examples or contexts to be used in the classroom. The methodology was tested on 100 volunteers from university (N = 50) and high school (N = 50) in Ankara, Turkey. The participants were asked to write…
Descriptors: Data, Physics, Science Instruction, College Science
Chenoweth, Karin – Educational Leadership, 2015
The key practices that improve struggling schools, writes Chenoweth--a researcher who's studied successful high-poverty schools and their leaders--aren't a mystery. From both decades of research and the craft knowledge of educators who've jumped in and turned around schools, we know these practices generally yield improvement: (1) a…
Descriptors: Educational Improvement, Best Practices, Effective Schools Research, School Turnaround
Wu, Yazhou; Zhang, Ling; Liu, Ling; Zhang, Yanqi; Liu, Xiaoyu; Yi, Dong – Journal of Biological Education, 2015
It is clear that the teaching of medical statistics needs to be improved, yet areas for priority are unclear as medical students' learning and application of statistics at different levels is not well known. Our goal is to assess the attitudes of medical students toward the learning and application of medical statistics, and discover their…
Descriptors: Medical Education, Graduate Study, Undergraduate Study, Statistics
Rankin, David A.; Scott, Joyce A.; Kim, JoHyun – Research in Higher Education Journal, 2015
Prompted by changing demographics, economic pressures, and global competition, Texas and members of the Southern Regional Education Board adopted policies to boost minority enrollment and success in higher education around the turn of the century. This study draws upon IPEDS graduation rate data for a benchmark year, 2002, and for 2006 through…
Descriptors: State Policy, Postsecondary Education, Graduation Rate, Benchmarking
Bull, Ally – New Zealand Council for Educational Research, 2015
Science capabilities are a set of ideas for teachers to think with about science education. There are five: gathering and interpreting data, using evidence, critiquing evidence, interpreting representations of science, and engaging with science. This paper explores what student progress in developing capabilities might look like. It draws on…
Descriptors: Lifelong Learning, Science Education, Data Collection, Data Interpretation
Sabourin, Jennifer; Kosturko, Lucy; FitzGerald, Clare; McQuiggan, Scott – International Educational Data Mining Society, 2015
While the field of educational data mining (EDM) has generated many innovations for improving educational software and student learning, the mining of student data has recently come under a great deal of scrutiny. Many stakeholder groups, including public officials, media outlets, and parents, have voiced concern over the privacy of student data…
Descriptors: Privacy, Student Records, Data Processing, Data Collection
Ye, Cheng; Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam – International Educational Data Mining Society, 2015
This paper discusses Multi-Feature Hierarchical Sequential Pattern Mining, MFH-SPAM, a novel algorithm that efficiently extracts patterns from students' learning activity sequences. This algorithm extends an existing sequential pattern mining algorithm by dynamically selecting the level of specificity for hierarchically-defined features…
Descriptors: Learning Activities, Learning Processes, Data Collection, Student Behavior
Chung, Gregory K. W. K. – Teachers College Record, 2014
Background: Historically, significant advances in scientific understanding have followed advances in measurement and observation. As the resolving power of an instrument increased, so have gains in the understanding of the phenomena being observed. Modern interactive systems are potentially the new "microscopes" when they are…
Descriptors: Online Systems, Data Analysis, Data Collection, Data Interpretation
Rodriguez, Sheila M.; Estacion, Angela – Regional Educational Laboratory Northeast & Islands, 2014
As the name indicates, the College Readiness Data Catalog Tool focuses on identifying data that can indicate a student's college readiness. While college readiness indicators may also signal career readiness, many states, districts, and other entities, including the U.S. Virgin Islands (USVI), do not systematically collect career readiness…
Descriptors: College Readiness, Data, Educational Indicators, Data Collection
Tomlinson, Carol Ann – Educational Leadership, 2015
This article describes a language arts teacher's two-tiered way of using assessment data, which uses both standardized assessment data and teacher-created "skills" inventories. Standardized test data may help see where a learner performed in a previous year on items that often do not line up too well with future content. Standardized…
Descriptors: Standardized Tests, Skill Analysis, Data Analysis, Progress Monitoring
Zablith, Fouad; Fernandez, Miriam; Rowe, Matthew – Interactive Learning Environments, 2015
Linked Data increases the value of an organisation's data over the web by introducing explicit and machine processable links at the data level. We have adopted this new stream of data representation to produce and expose existing data within The Open University (OU) as Linked Data. We present in this paper our approach for producing the data,…
Descriptors: Data, Metadata, Open Universities, Social Networks
Konold, Clifford; Higgins, Traci; Russell, Susan Jo; Khalil, Khalimahtul – Educational Studies in Mathematics, 2015
Statistical reasoning focuses on properties that belong not to individual data values but to the entire aggregate. We analyze students' statements from three different sources to explore possible building blocks of the idea of data as aggregate and speculate on how young students go about putting these ideas together. We identify four general…
Descriptors: Statistical Analysis, Mathematical Logic, Data Analysis, Mathematical Concepts

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