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Showing 106 to 120 of 377 results Save | Export
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Pellien, Tamara; Rothenburger, Lisa – Journal of Extension, 2014
The Next Generation Science Standards (NGSS) will define science education for the foreseeable future, yet many educators struggle to see the bridge between current practice and future practices. The inquiry-based methods used by Extension professionals (Kress, 2006) can serve as a guide for classroom educators. Described herein is a method of…
Descriptors: Science Instruction, Academic Standards, Inquiry, Extension Education
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El-khateeb, Mahmoud M. A. – Journal of Education and Learning, 2015
The purpose of this study was to investigate the misperceptions and performance of king Saud University students' about concept and finding the limit of same partial functions given in the form of both graphical and symbolic. In the collection of the data, the researcher employed the open-ended question test consisted of four items. Firstly,…
Descriptors: Foreign Countries, College Students, Student Attitudes, Misconceptions
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Sole, Marla A. – Mathematics Teacher, 2016
Every day, students collect, organize, and analyze data to make decisions. In this data-driven world, people need to assess how much trust they can place in summary statistics. The results of every survey and the safety of every drug that undergoes a clinical trial depend on the correct application of appropriate statistics. Recognizing the…
Descriptors: Statistics, Mathematics Instruction, Data Collection, Teaching Methods
Liu, Zhicheng – ProQuest LLC, 2012
Tabular data is pervasive in the form of spreadsheets and relational databases. Although tables often describe multivariate data without explicit network semantics, it may be advantageous to explore the data modeled as a graph or network for analysis. Even when a given table design conveys some static network semantics, analysts may want to look…
Descriptors: Tables (Data), Graphs, Data Analysis, Visual Stimuli
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Pelánek, Radek; Rihák, Ji?rí – International Educational Data Mining Society, 2016
In online educational systems we can easily collect and analyze extensive data about student learning. Current practice, however, focuses only on some aspects of these data, particularly on correctness of students answers. When a student answers incorrectly, the submitted wrong answer can give us valuable information. We provide an overview of…
Descriptors: Foreign Countries, Online Systems, Geography, Anatomy
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Dogan Temur, Özlem; Akbaba Dag, Serap; Turgut, Sedat – International Electronic Journal of Elementary Education, 2015
With developing technology statistical information and data sources become a very important issues and from primary school it has become necessary to gain the skills for making interpreting and making sense of data. These skills consist of collecting information, arrangement and analysis of collected data and the interpretation of the results. The…
Descriptors: Preservice Teachers, Elementary Education, Student Teaching, Mathematics Instruction
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Rubenstein, Lisa DaVia; Gilson, Cindy M.; Bruce-Davis, Micah N.; Gubbins, E. Jean – Journal for the Education of the Gifted, 2015
Modern classrooms are often comprised of a heterogeneous student population with varying abilities. To address this variance, third-grade teachers implemented researcher-designed, pre-differentiated, and enriched math curricula in algebra, geometry and measurement, and graphing and data analysis. The goal of the curricula was to provide academic…
Descriptors: Teacher Attitudes, Individualized Instruction, Elementary School Teachers, Grade 3
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Webber, Hannah; Nelson, Sarah J.; Weatherbee, Ryan; Zoellick, Bill; Schauffler, Molly – Science Teacher, 2014
Data literacy is complex. When students investigate the natural world, they must be able to gather data, organize it in tables and spreadsheets, analyze it in context, and describe and interpret it--usually as evidence to support a scientific argument. These skills are echoed in the science and engineering practices of the "Next Generation…
Descriptors: Science Instruction, Graphs, Science Process Skills, Data Analysis
Eagle, Michael; Johnson, Matthew; Barnes, Tiffany – International Educational Data Mining Society, 2012
We introduce a novel data structure, the Interaction Network, for representing interaction-data from open problem solving environment tutors. We show how using network community detecting techniques are used to identify sub-goals in problems in a logic tutor. We then use those community structures to generate high level hints between sub-goals.…
Descriptors: Data Analysis, Interaction, Network Analysis, Problem Solving
Kiray, S. Ahmet; Gok, Bilge; Bozkir, A. Selman – Online Submission, 2015
The purpose of this article is to identify the order of significance of the variables that affect science and mathematics achievement in middle school students. For this aim, the study deals with the relationship between science and math in terms of different angles using the perspectives of multiple causes-single effect and of multiple…
Descriptors: Science Achievement, Mathematics Achievement, Information Retrieval, Data Analysis
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Tierney, Patrick J. – International Review of Research in Open and Distance Learning, 2012
This paper introduces a method of extending natural language-based processing of qualitative data analysis with the use of a very quantitative tool--graph theory. It is not an attempt to convert qualitative research to a positivist approach with a mathematical black box, nor is it a "graphical solution". Rather, it is a method to help qualitative…
Descriptors: Natural Language Processing, Qualitative Research, Data Analysis, Graphs
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Haydock, Karen – School Science Review, 2014
We sometimes struggle with the question of whether our primary goal is for students to recall or understand answers to questions, or for students to do science and improve their "scientific temper". This article describes how an enquiry-based laboratory experiment was carried out in which the stress was on the latter. The students…
Descriptors: Laboratory Experiments, Inquiry, Active Learning, Behavioral Objectives
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Sturner, Kelly; Lucci, Karen – American Biology Teacher, 2015
This inquiry-based activity for high school students introduces concepts of ecology and the importance of data analysis to science. Using an investigative case, students generate independent questions about birds, access Cornell Lab of Ornithology online resources to collect data, organize and graph data using Excel, and make claims based on…
Descriptors: Data, Data Analysis, Science Process Skills, Ornithology
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Georgakis, Steve; Evans, John Robert; Warwick, Leanne – Journal of Education and Training Studies, 2015
While sport and student-athletes have featured in the Australian education system since compulsory schooling, there has been no analysis to date of the link between academic achievement and elite student-athletes. However, this is in stark contrast to the United States of America (US), where student-athletes have been the subject of sustained…
Descriptors: Foreign Countries, Academic Achievement, Athletes, High School Students
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Casquero, Oskar; Ovelar, Ramón; Romo, Jesús; Benito, Manuel; Alberdi, Mikel – Interactive Learning Environments, 2016
The main objective of this paper is to analyse the effect of the affordances of a virtual learning environment and a personal learning environment (PLE) in the configuration of the students' personal networks in a higher education context. The results are discussed in light of the adaptation of the students to the learning network made up by two…
Descriptors: Case Studies, Higher Education, Educational Technology, Technology Uses in Education
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