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Millward, Pam; Wardman, Janna; Rubie-Davies, Christine – Higher Education Research and Development, 2016
This article reports on a case study of one New Zealand university faculty involved in the second phase of a three-phase study investigating the experiences of talented undergraduate students. Talented undergraduate students are a largely forgotten group in research. The current study sought to investigate who the talented students were, and then…
Descriptors: Foreign Countries, Undergraduate Students, Talent Identification, Talent
Reynolds, Todd – Studying Teacher Education, 2016
During my English Language Arts methods class, I noticed that my discussion patterns were teacher-focused and in an Initiation-Response-Evaluation format. Because I wanted to model dialogic methods of whole-class discussions for my preservice teachers, I recoiled from this finding and began a self-study using an action research method to examine…
Descriptors: Teacher Educators, Language Arts, Methods Courses, Classroom Communication
Warner-Richter, Mallory; Lowe, Claire; Tout, Kathryn; Epstein, Dale; Li, Weilin – Child Trends, 2016
The Success By 6® (SB6) initiative is designed to support early care and education centers in improving and sustaining quality in Pennsylvania's Keystone STARS Quality Rating and Improvement System (QRIS). The SB6 evaluation report examines implementation and outcomes. The findings have implications for SB6 continous quality improvement process…
Descriptors: Success, Research Reports, Child Care Centers, Quality Assurance
Spielberger, Julie; Axelrod, Jennifer; Dasgupta, Denali; Cerven, Christine; Spain, Angeline; Kohm, Amelia; Mader, Nicholas – Chapin Hall at the University of Chicago, 2016
To support the effectiveness of afterschool programs in fostering skills youth need to succeed in school and life, a growing number of cities have invested in afterschool systems to coordinate disparate programs and funding streams. A primary function of most afterschool systems is to develop and maintain a data system to collect, analyze, and…
Descriptors: After School Programs, Youth Programs, Skill Development, Data Collection
Spielberger, Julie; Axelrod, Jennifer; Dasgupta, Denali; Cerven, Christine; Spain, Angeline; Kohm, Amelia; Mader, Nicholas – Chapin Hall at the University of Chicago, 2016
To support the effectiveness of afterschool programs in fostering skills youth need to succeed in school and life, a growing number of cities have invested in afterschool systems to coordinate disparate programs and funding streams. A primary function of most afterschool systems is to develop and maintain a data system to collect, analyze, and…
Descriptors: After School Programs, Youth Programs, Skill Development, Data Collection
Jo, Yohan; Tomar, Gaurav; Ferschke, Oliver; Rosé, Carolyn P.; Gaševic, Dragan – International Educational Data Mining Society, 2016
An important research problem for Educational Data Mining is to expedite the cycle of data leading to the analysis of student learning processes and the improvement of support for those processes. For this goal in the context of social interaction in learning, we propose a three-part pipeline that includes data infrastructure, learning process…
Descriptors: Information Retrieval, Learning Processes, Interaction, Interpersonal Relationship
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
Ainley, Janet; Gould, Robert; Pratt, Dave – Educational Studies in Mathematics, 2015
This paper is in the form of a reflective discussion of the collection of papers in this Special Issue on "Statistical reasoning: learning to reason from samples" drawing on deliberations arising at the Seventh International Collaboration for Research on Statistical Reasoning, Thinking, and Literacy (SRTL7). It is an important part of…
Descriptors: Statistical Analysis, Mathematical Logic, Data Analysis, Mathematics Skills
Kelly, Anthony – International Journal of Leadership in Education, 2015
This paper introduces and explores the concept of "salutogenesis" as a way of interpreting school leadership research and its findings in two significant areas: its effect on student outcomes and the motivation of incumbents. In its original setting, salutogenesis describes an approach that focuses on health, rather than on disease, but…
Descriptors: Instructional Leadership, Research, Outcomes of Education, Motivation
Sharrock, Geoff – Journal of Higher Education Policy and Management, 2015
This article considers recent public debates about massive open online courses (MOOCs) and their potential to transform higher education. Drawing on reports and media commentary, it probes the claims and counterclaims of MOOC proponents and MOOC sceptics. It considers the implications for students, governments, institutions and scholars…
Descriptors: Foreign Countries, Online Courses, Higher Education, Blended Learning
Zhang, Jingjing; Perris, Kirk; Zheng, Qinhua; Chen, Li – International Review of Research in Open and Distributed Learning, 2015
In China, microblogging is an extremely popular activity and is proving to be an effective mechanism to gauge perceptions about social phenomena. Between 2010 and 2015 Sina Weibo, China's largest microblogging website, generated 95,015 postings from 62,074 users referencing the term massive open online courses (MOOCs), a method of online course…
Descriptors: Foreign Countries, Online Courses, Public Opinion, Electronic Publishing
Vágner, Anikó; Zsakó, László – Acta Didactica Napocensia, 2015
A lot of students learn spreadsheet management before database management. Their similarities can cause a lot of negative effects when learning database management. In this article, we consider these similarities and explain what can cause problems. First, we analyse the basic concepts such as table, database, row, cell, reference, etc. Then, we…
Descriptors: Spreadsheets, Database Management Systems, Worksheets, Tables (Data)
Guo, Rui; Zheng, Yi; Chang, Hua-Hua – Journal of Educational Measurement, 2015
An important assumption of item response theory is item parameter invariance. Sometimes, however, item parameters are not invariant across different test administrations due to factors other than sampling error; this phenomenon is termed item parameter drift. Several methods have been developed to detect drifted items. However, most of the…
Descriptors: Item Response Theory, Test Items, Evaluation Methods, Equated Scores