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Altakhaineh, Abdel Rahman Mitib; Alshamari, Murdhy Radad – Advances in Language and Literary Studies, 2016
This study analyses "Al-?i?laal" phenomenon which takes place in Modern Standard Arabic (henceforth, MSA) derivational processes. Based on the description of Arab traditionalists such as Al-Raagihi (1984: 155) and AlGalaayiini (1991), "Al-?i?laal" is defined as "a change that occurs with vowel letters where they can be…
Descriptors: Semitic Languages, Linguistic Theory, Suprasegmentals, Vowels
Gropper, George L. – Educational Technology, 2016
Psychological testing can serve as a prototype on which to base a data-generated approach to instructional design. In "testing batteries" tests are used to predict achievement. In the proposed approach batteries of prescriptions would be used to produce achievement. In creating "test batteries" tests are selected for their…
Descriptors: Models, Instructional Design, Instructional Materials, Correlation
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Galeeva, Railya B. – Quality Assurance in Education: An International Perspective, 2016
Purpose: The purpose of this study is to demonstrate an adaptation of the SERVQUAL survey method for measuring the quality of higher educational services in a Russian university context. We use a new analysis and a graphical technique for presentation of results. Design/methodology/approach: The methodology of this research follows the classic…
Descriptors: Foreign Countries, Higher Education, Quality Assurance, Educational Quality
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Frejd, Peter; Bergsten, Christer – Educational Studies in Mathematics, 2016
Educational research literature on mathematical modelling is extensive. However, not much attention has been paid to empirical investigations of its scholarly knowledge from the perspective of didactic transposition processes. This paper reports from an interview study of mathematical modelling activities involving nine professional model…
Descriptors: Mathematical Models, Mathematics Activities, Interviews, Professional Personnel
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Silver, Christina; Rivers, Christine – International Journal of Social Research Methodology, 2016
This paper presents an empirically-derived CAQDAS Postgraduate Learning Model (CPLM) that illustrates the importance of integrated learning of qualitative methodology and technology for postgraduate students. Developed from analysis of a qualitative data-set of interview transcripts, survey responses and support-session observations constructed…
Descriptors: Correlation, Graduate Students, Models, Information Technology
Ou, Yingjie – ProQuest LLC, 2016
Nonwovens is a fast growing industry driven by technological research and development (R&D), and one of the major application areas for nonwovens is air filtration. Research on nonwovens technologies has mainly focused on the science and technology areas, but there is very little published research on technology management issues within the…
Descriptors: Technological Advancement, Pollution, Climate Control, Ventilation
Pokrywka, Francis J. – ProQuest LLC, 2016
Planning for a pandemic influenza outbreak at a college or university cannot be done in a vacuum. Like any emergency plan, it needs to be a coordinated effort by a dedicated and unselfish group of individuals at the university pulling together a multitude of people and resources focused on a common goal. There is an ongoing struggle among…
Descriptors: Higher Education, Emergency Programs, Disease Control, Communicable Diseases
Education Council, 2016
The Nationally Consistent Collection of Data on School Students with Disability (the collection) identified 685,911 students received an educational adjustment due to disability. Through this collection, teachers use their professional judgement based on evidence to capture information. This report looks at the emergent data on students in…
Descriptors: Foreign Countries, Disabilities, Academic Accommodations (Disabilities), Tables (Data)
Polavaram, Sridevi – ProQuest LLC, 2016
Neuroscience can greatly benefit from using novel methods in computer science and informatics, which enable knowledge discovery in unexpected ways. Currently one of the biggest challenges in Neuroscience is to map the functional circuitry of the brain. The applications of this goal range from understanding structural reorganization of neurons to…
Descriptors: Neurosciences, Data Analysis, Knowledge Representation, Information Science
Schumacher, Clara; Ifenthaler, Dirk – International Association for Development of the Information Society, 2016
In higher education settings more and more learning is facilitated through online learning environments. To support and understand students' learning processes better, learning analytics offers a promising approach. The purpose of this study was to investigate students' expectations toward features of learning analytics systems. In a first…
Descriptors: College Students, Expectation, Qualitative Research, Interviews
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Mostafav, Behrooz; Barnes, Tiffany – International Educational Data Mining Society, 2016
We have been incrementally adding data-driven methods into the Deep Thought logic tutor for the purpose of creating a fully data-driven intelligent tutoring system. Our previous research has shown that the addition of data-driven hints, worked examples, and problem assignment can improve student performance and retention in the tutor. In this…
Descriptors: Data, Intelligent Tutoring Systems, Problem Solving, Mathematical Logic
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Bydžovská, Hana – International Educational Data Mining Society, 2016
One of the main problems faced by university students is to create and manage the semester course plan. In this paper, we present a course enrollment recommender system based on data mining techniques. The system mainly helps with students' enrollment decisions. More specifically, it provides recommendation of selective and optional courses with…
Descriptors: Enrollment, College Students, Course Selection (Students), Data Analysis
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Price, Thomas W.; Dong, Yihuan; Barnes, Tiffany – International Educational Data Mining Society, 2016
Intelligent Tutoring Systems (ITSs) have shown success in the domain of programming, in part by providing customized hints and feedback to students. However, many popular novice programming environments still lack these intelligent features. This is due in part to their use of open-ended programming assignments, which are difficult to support with…
Descriptors: Intelligent Tutoring Systems, Programming, Data, Computer Science Education
Bailey, Tessie; Ruedel, Kristin; Kuchle, Laura; Danielson, Lou – National Center for Systemic Improvement at WestEd, 2016
The Tennessee Department of Education faced significant challenges in evaluating and reporting the effects of its first year of State Systemic Improvement Plan (SSIP) implementation when its state test data became unavailable. This NCSI state spotlight presents how Tennessee selected one of two options to address the challenge. [This resource was…
Descriptors: Data Use, Outcome Measures, Educational Improvement, Alternative Assessment
Suzanne O'Keeffe – Sage Research Methods Cases, 2016
This case study sheds light on lessons learned from the perspective of a PhD candidate. Focusing on male primary teachers, this study explores how issues of masculinities are navigated and negotiated on a daily basis. Although limited research of masculinities has been conducted in educational contexts and settings in Ireland, previous studies…
Descriptors: Foreign Countries, Research Methodology, Data Collection, Interviews
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