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Andrew Gelman; Daniel Lee; Jiqiang Guo – Journal of Educational and Behavioral Statistics, 2015
Stan is a free and open-source C++ program that performs Bayesian inference or optimization for arbitrary user-specified models and can be called from the command line, R, Python, Matlab, or Julia and has great promise for fitting large and complex statistical models in many areas of application. We discuss Stan from users' and developers'…
Descriptors: Programming Languages, Bayesian Statistics, Inferences, Monte Carlo Methods
Milne, Barry John; Lay-Yee, Roy; McLay, Jessica; Tobias, Martin; Tuohy, Pat; Armstrong, Ann; Lynn, Robert; Pearson, Janet; Mannion, Oliver; Davis, Peter – Evidence & Policy: A Journal of Research, Debate and Practice, 2014
We have developed a software-based tool to support a dynamic micro-simulation model of life-course development (to age 13) as an aid to policy makers assessing the impact of policies affecting children. We demonstrate how this approach bridges the research-policy gap by creating: (1) an easy transfer of evidence in a form that policymakers can use…
Descriptors: Computer Software, Simulation, Models, Child Development
Grushka, Kathryn Meyer; Bellette, Aaron; Holbrook, Allyson – McGill Journal of Education, 2014
This article focuses on the use of Photographic Participatory Inquiry (PPI) in researching the teaching and learning of photography in the e-learning environment. It is an arts-informed method drawing on digital tools to capture collective information as digital artefacts, which can then be accessed and harnessed to build critical and reflective…
Descriptors: Photography, Educational Research, Participatory Research, Inquiry
Scanlon, Eileen; Gaved, Mark; Jones, Ann; Kukulska-Hulme, Agnes; Paletta, Lucas; Dunwell, Ian – International Association for Development of the Information Society, 2014
This paper discusses how the particular features of mobile learning can be harnessed to provide new informal learning opportunities in relation to context aware and location based learning. The MASELTOV project is developing representations of an incidental learning framework to enable software developers and researchers to both design and analyse…
Descriptors: Electronic Learning, Informal Education, Educational Technology, Computer Software
Korenova, Lilla – International Journal for Technology in Mathematics Education, 2017
The teaching of primary school mathematics is greatly oriented towards the development of basic mathematical literacy and cognitive skills such as remembering, understanding and applying (according to Bloom's revised taxonomy). Nowadays, it is very important to implement teaching methods that are motivating for children and lead to more effective…
Descriptors: Geometry, Mathematics Instruction, Taxonomy, Teaching Methods
Hetzroni, Orit E.; Banin, Irit – Journal of Applied Research in Intellectual Disabilities, 2017
Background: People with intellectual and developmental disabilities (IDD) often demonstrate difficulties in social skills. The purpose of this study was to examine the effects of a comprehensive intervention program on the acquisition of social skills among students with mild IDD. Method: Single subject multiple baseline design across situations…
Descriptors: Computer Software, Video Technology, Group Discussion, Skill Development
Keane, Therese; Keane, William – Education and Information Technologies, 2017
This longitudinal study explores one secondary school's approach towards implementing a one computer to one student (1:1) program, which commenced in 2011. Prior to 2011, the school was not very technologically advanced, mainly due to financial constraints which impacted on infrastructure, procurement of hardware and software, the availability of…
Descriptors: Longitudinal Studies, Secondary School Teachers, Secondary School Students, Attitude Measures
Weiss, Charles J. – Journal of Chemical Education, 2017
The Scientific Computing for Chemists course taught at Wabash College teaches chemistry students to use the Python programming language, Jupyter notebooks, and a number of common Python scientific libraries to process, analyze, and visualize data. Assuming no prior programming experience, the course introduces students to basic programming and…
Descriptors: Science Instruction, College Science, Chemistry, Computer Uses in Education
Fahlgren, Maria – International Journal for Technology in Mathematics Education, 2017
This paper examines the process of instrumental genesis through which students develop their proficiency in making use of movable points and slider bars--two tools that dynamic mathematics software provides for working with variable coordinates and parameters in the field of functions. The paper analyses students' responses to task sequences…
Descriptors: Secondary School Teachers, Foreign Countries, Secondary School Mathematics, Mathematics Instruction
Ayres, Cynthia G.; Pontes, Nancy M.; Pontes, Manuel C. F. – Journal of School Nursing, 2017
The purpose of the study was to examine relationships between sleep insufficiency, depressive symptoms, demographic factors, and the nonmedical use of prescription medications (NMUPMs) in the U.S. high school students. Data from the 2013 Youth Risk Behavioral Surveillance System were used (n = 13,570) and analyzed using IBM SPSS 23™ (complex…
Descriptors: Drug Abuse, High School Students, Correlation, Sleep
McCormick, Tyler H.; Lee, Hedwig; Cesare, Nina; Shojaie, Ali; Spiro, Emma S. – Sociological Methods & Research, 2017
Despite recent and growing interest in using Twitter to examine human behavior and attitudes, there is still significant room for growth regarding the ability to leverage Twitter data for social science research. In particular, gleaning demographic information about Twitter users--a key component of much social science research--remains a…
Descriptors: Social Media, Social Science Research, Reliability, Behavior Patterns
Chiner, Esther; Garcia-Vera, Victoria E. – European Journal of Engineering Education, 2017
The purpose of this study was to examine students' computer attitudes and experience, as well as students' perceptions about the use of two specific software applications (Google Drive Spreadsheets and Arquimedes) in the Building Engineering context. The relationships among these variables were also examined. Ninety-two students took part in this…
Descriptors: Computer Attitudes, Student Attitudes, Experience, Computer Software
Daniels, Paul; Iwago, Koji – JALT CALL Journal, 2017
As online automatic speech recognition (ASR) engines become more accurate and more widely implemented with call software, it becomes important to evaluate the effectiveness and the accuracy of these recognition engines using authentic speech samples. This study investigates two of the most prominent cloud-based speech recognition engines--Apple's…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Computer Software
Brezavšcek, Alenka; Šparl, Petra; Žnidaršic, Anja – EURASIA Journal of Mathematics, Science & Technology Education, 2017
The aim of the paper is to investigate the main factors influencing the adoption and continuous utilization of statistical software among university social sciences students in Slovenia. Based on the Technology Acceptance Model (TAM), a conceptual model was derived where five external variables were taken into account: statistical software…
Descriptors: Foreign Countries, Computer Software, College Students, Social Sciences
Reck, Rebecca M. – IEEE Transactions on Education, 2017
Course objectives, like research objectives and product requirements, help provide clarity and direction for faculty and students. Unfortunately, course and laboratory objectives are not always clearly stated. Without a clear set of objectives, it can be hard to design a learning experience and determine whether students are achieving the intended…
Descriptors: Undergraduate Students, Delphi Technique, College Faculty, Teacher Attitudes

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