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Figueiredo, Zenólia Christina Campos; Figueira, Janaína Esfalsini; Della Fonte, Sandra Soares; Caparróz, Francisco Eduardo – Sport, Education and Society, 2016
This study examines physical education (PE) curriculum development in an elementary school. Our goal was to understand the daily construction of a curriculum. We sought to analyse the theoretical and methodological framework and documents that a PE teacher uses each day while putting a curriculum into practice (lived curriculum). The data…
Descriptors: Physical Education, Foreign Countries, Curriculum Development, Elementary Schools
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Bendjebar, Safia; Lafifi, Yacine; Seridi, Hamid – International Journal of Web-Based Learning and Teaching Technologies, 2016
In e-learning systems, the tutors play many roles and carry out several tasks that differ from one system to another. The activity of tutoring is influenced by many factors. One factor among them is the assignment of the appropriate profile to the tutor. For this reason, the authors propose a new approach for modeling and evaluating the function…
Descriptors: Electronic Learning, Teaching Methods, Classification, Student Needs
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Hurney, Carol A.; Brantmeier, Edward J.; Good, Megan R.; Harrison, Douglas; Meixner, Cara – Journal of Faculty Development, 2016
Assessment is a cyclical process within which educators construct outcomes, implement programs, assess constructs such as learning, evaluate results, and utilize results to craft stronger programs and services. Within educational and faculty development, assessment measures program impact on faculty, students, and/or institutional culture.…
Descriptors: Faculty Development, Teacher Evaluation, Evaluation Methods, Evidence Based Practice
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Gustafson, Brenda; Mahaffy, Peter; Martin, Brian – Journal of Computers in Mathematics and Science Teaching, 2015
This paper focuses on one Grade 5 class (9 females; 9 males) who worked in student-pairs to view five digital learning object (DLO) lessons created by the authors and meant to introduce students to the nature of models, the particle nature of matter, and physical change. Specifically, the paper focuses on whether DLO design elements could assist…
Descriptors: Grade 5, Cooperative Learning, Resource Units, Scientific Concepts
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Smith, Marlene A.; Kellogg, Deborah L. – Decision Sciences Journal of Innovative Education, 2015
This article describes a predictive model that assesses whether a student will have greater perceived learning in group assignments or in individual work. The model produces correct classifications 87.5% of the time. The research is notable in that it is the first in the education literature to adopt a predictive modeling methodology using data…
Descriptors: Group Activities, Assignments, Cooperative Learning, Individual Activities
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Dillenbourg, Pierre – International Journal of Artificial Intelligence in Education, 2016
How does AI&EdAIED today compare to 25 years ago? This paper addresses this evolution by identifying six trends. The trends are ongoing and will influence learning technologies going forward. First, the physicality of interactions and the physical space of the learner became genuine components of digital education. The frontier between the…
Descriptors: Artificial Intelligence, Educational Trends, Trend Analysis, Educational Technology
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Selekman, Janice; Wolfe, Linda C.; Cole, Marjorie – Journal of School Nursing, 2016
School nurses collect data to report to their school district and state agencies. However, there is no national requirement or standard to collect specific data, and each state determines its own set of questions. This study resulted from a joint resolution between the National Association of State School Nurse Consultants and the National…
Descriptors: School Nurses, Data Collection, School Health Services, Questionnaires
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Liu, Ran; Koedinger, Kenneth R. – Journal of Educational Data Mining, 2017
As the use of educational technology becomes more ubiquitous, an enormous amount of learning process data is being produced. Educational data mining seeks to analyze and model these data, with the ultimate goal of improving learning outcomes. The most firmly grounded and rigorous evaluation of an educational data mining discovery is whether it…
Descriptors: Educational Technology, Technology Uses in Education, Data Collection, Data Analysis
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Santora, Kimberly A.; Mason, Emanuel J.; Sheahan, Thomas C. – Innovative Higher Education, 2013
Mentoring is useful in career development for the sciences and professions due to the cultures, skill sets, and experience-based learning in these fields. A framework for mentoring based on observations and data gathered as part of an international research and education project is presented. Students with multiple levels of experience and…
Descriptors: Engineering Education, Mentors, Models, Science Education
Li, Jingjing – ProQuest LLC, 2013
The advent of the Internet and the ever-increasing capacity of storage media have made it easy to store, deliver, and share enormous volumes of data, leading to a proliferation of information on the Web, in online libraries, on news wires, and almost everywhere in our daily lives. Since our ability to process and absorb this information remains…
Descriptors: Data Collection, Information Retrieval, Citation Analysis, Research Methodology
Liu, Peng – ProQuest LLC, 2013
This dissertation explores the effects of increased digitization on the evolutionary dynamics of organizational routines. Do routines become more flexible, or more rigid, as the mix of digital technologies and human actors changes? What are the mechanisms that govern the evolution of routines? The dissertation theorizes about the effects of…
Descriptors: Organizational Culture, Technological Advancement, Technology Integration, Computer Simulation
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Raju, Dheeraj; Schumacker, Randall – Journal of College Student Retention: Research, Theory & Practice, 2015
The study used earliest available student data from a flagship university in the southeast United States to build data mining models like logistic regression with different variable selection methods, decision trees, and neural networks to explore important student characteristics associated with retention leading to graduation. The decision tree…
Descriptors: Student Characteristics, Higher Education, Graduation Rate, Academic Persistence
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Joksimovic, Srecko; Hatala, Marek; Gaševic, Dragan – Journal of Learning Analytics, 2014
Teaching and learning in networked settings has attracted significant attention recently. The central topic of networked learning research is human-human and human-information interactions occurring within a networked learning environment. The nature of these interactions is highly complex and usually requires a multi-dimensional approach to…
Descriptors: Data Collection, Data Analysis, Educational Research, Interaction
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Kavgaoglu, Derya; Alci, Bülent – Educational Research and Reviews, 2016
The goal of this research which was carried out in reputable dedicated call centres within the Turkish telecommunication sector aims is to evaluate competence-based curriculums designed by means of internal funding through Stufflebeam's context, input, process, product (CIPP) model. In the research, a general scanning pattern in the scope of…
Descriptors: Foreign Countries, Evaluation Methods, Models, Curriculum Evaluation
Yocum, Russell G.; Densmore-James, Susan; Staal, Laura A.; Pinkie, Elyse C.; Yocum, Dana A. E. – Forum on Public Policy Online, 2016
This research replicated a previous mixed-methods exploratory study of spirituality and spiritual development (Yocum, 2014). 339 participants at two southeastern United States universities were administered a Likert-scale survey to collect data to explore the correlations between the existing components of the proposed spiritual development…
Descriptors: Undergraduate Students, Religious Factors, Spiritual Development, Student Needs
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