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Malone, Lizabeth; Knas, Emily; Bernstein, Sara; Read Feinberg, Lindsay – Administration for Children & Families, 2017
This report describes preliminary work in support of an early childhood needs assessment for American Indian and Alaska Native (AI/AN) children prenatal to age five. The report presents the process and findings from implementing Design One--describing the population of AI/AN children and families and their participation in early childhood services…
Descriptors: American Indians, Alaska Natives, Early Childhood Education, Needs Assessment
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Li, Yuntao; Fu, Chengzhen; Zhang, Yan – International Educational Data Mining Society, 2017
Since MOOC is suffering high dropout rate, researchers try to explore the reasons and mitigate it. Focusing on this task, we employ a composite model to infer behaviors of learners in the coming weeks based on his/her history log of learning activities, including interaction with video lectures, participation in discussion forum, and performance…
Descriptors: Online Courses, Mass Instruction, Student Behavior, Learning Activities
Dalley, Anna Maria – ProQuest LLC, 2017
This qualitative, descriptive single-case study explored the transition from a hierarchical to a hierarchical-collaborative relationship between special education teachers (SET) and special education paraeducators (SEP). Sixteen participants, including eight veteran SET and eight SEP working in one county located in the Mid-Atlantic region of the…
Descriptors: Teacher Attitudes, Paraprofessional School Personnel, Special Education Teachers, Regular and Special Education Relationship
OECD Publishing, 2017
This report identifies effective strategies to tackle skills imbalances, based on five country-specific policy notes for France, Italy, Spain, South Africa and the United Kingdom. It provides a comparative assessment of practices and policies in the following areas: the collection and use of information on skill needs to foster a better alignment…
Descriptors: Foreign Countries, Comparative Education, Educational Practices, Educational Policy
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Havelka, Douglas; Neal, Catherine S. – Information Systems Education Journal, 2015
A study was performed to identify and evaluate characteristics, properties, and attributes of teaching cases that provide value to students. The items identified can be used to create an instrument to evaluate teaching cases during the review process for publication or by instructors to identify cases that would be most appropriate for courses.
Descriptors: Case Studies, Student Attitudes, Evaluation Criteria, Instructional Material Evaluation
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Stains, Marilyne; Sevian, Hannah – Research in Science Education, 2015
Students' mental models of diffusion in a gas phase solution were studied through the use of the Structure and Motion of Matter (SAMM) survey. This survey permits identification of categories of ways students think about the structure of the gaseous solute and solvent, the origin of motion of gas particles, and trajectories of solute particles in…
Descriptors: Cognitive Structures, Models, Undergraduate Students, Knowledge Level
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Christian, Mathew – Journal of Education and Practice, 2015
This study was undertaken to underscore the extent the variables of school location, students' gender and school section can predict the rate of drop out of secondary school students. Ex post facto design was adopted and all data on students' enrollment, retention and completion were collected from available schools' records for two cohorts of…
Descriptors: School Location, Gender Differences, Secondary School Students, Predictor Variables
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Martinez-Maldonado, Roberto; Pardo, Abelardo; Mirriahi, Negin; Yacef, Kalina; Kay, Judy; Clayphan, Andrew – Journal of Learning Analytics, 2015
Designing, validating, and deploying learning analytics tools for instructors or students is a challenge that requires techniques and methods from different disciplines, such as software engineering, human-computer interaction, computer graphics, educational design, and psychology. Whilst each has established its own design methodologies, we now…
Descriptors: Data Analysis, Learning, Design, Validity
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Turrin, Margie – Science Teacher, 2015
Data and data analysis are central to science and the complex world in which people live. Students need to practice working with data--addressed in the "Next Generation Science Standards" (NGSS Lead States 2013)--starting with small, self-collected data sets and moving on to larger, remotely collected data assemblages. Small data sets…
Descriptors: Science Education, Data Collection, Data Analysis, Experiential Learning
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Bainter, Sierra A.; Curran, Patrick J. – Journal of Cognition and Development, 2015
Amid recent progress in cognitive development research, high-quality data resources are accumulating, and data sharing and secondary data analysis are becoming increasingly valuable tools. Integrative data analysis (IDA) is an exciting analytical framework that can enhance secondary data analysis in powerful ways. IDA pools item-level data across…
Descriptors: Data Analysis, Integrated Activities, Inferences, Statistical Analysis
Datnow, Amanda; Park, Vicki – Educational Leadership, 2015
School leaders are often drowning in data but are unsure which forms of data will help them create a portrait of student achievement that will motivate staff to look beyond simple trends and delve deeper into root causes. Teachers often wish for more guidance on the kinds of data analysis and teaching strategies that will help them move the needle…
Descriptors: Evaluation Utilization, Data, Data Analysis, Data Interpretation
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Miškolci, Jozef – Ethnography and Education, 2015
Researchers' "reflexivity" about how they shape the phenomena that they study within the data collection process is often presented as a crucial component of ethnographic research methodology. Nevertheless, academic literature about ethnography is mostly silent around whether researchers' dreams are relevant to the research process and…
Descriptors: Foreign Countries, Ethnography, Research Methodology, Educational Researchers
Soland, Jim – Phi Delta Kappan, 2015
Predictive analytics in education can offer a benefit as long as educators heed the differences between how the tools are used in industry and how they should be used differently in schooling. Perhaps most important, teachers already know a great deal about their students--far more than an investor knows about a stock or a baseball scout about an…
Descriptors: Prediction, Predictive Validity, Teacher Student Relationship, Familiarity
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Emery, Mary; Higgins, Lorie; Chazdon, Scott; Hansen, Debra – Journal of Extension, 2015
A mind mapping approach to evaluation called Ripple Effects Mapping (REM) has been developed and used by a number of Extension faculty across the country recently. This article describes three approaches to REM, as well as key differences and similarities. The authors, each from different land-grant institutions, believe REM is an effective way to…
Descriptors: Program Evaluation, Evaluation Methods, Program Effectiveness, Extension Education
Feild, Jacqueline – International Educational Data Mining Society, 2015
Providing students with continuous and personalized feedback on their performance is an important part of encouraging self regulated learning. As part of our higher education platform, we built a set of data visualizations to provide feedback to students on their assignment performance. These visualizations give students information about how they…
Descriptors: Student Improvement, Performance, Feedback (Response), Assignments
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