Sentences with phrase «students explore data»

Specifically, teachers will learn «an investigation cycle to teach statistics and to help students explore data to make evidence - based claims.»

Not exact matches

To accomplish this, we give students the opportunity to use SQL to explore real - world data such as Firefox usage statistics, Iowa liquor sales, or Zillow's real estate prices.

School decision makers 1) plug in simple information, 2) explore different ways to expand school meals programs like moving breakfast to the classroom or serving afterschool meals, and 3) come out with hard data about costs, number of students served and federal reimbursement dollars.

This will also be of special use to undergraduate and graduate students wishing to explore BES data.

And administrators from South African universities are now exploring ways to collect similar data to help their students, who face some of the largest racial achievement gaps in in the world.

To explore that issue, she is now looking beyond Kansas and across three continents, collecting data in Korea, Ghana and elsewhere in the U.S. Whereas more choice may lead to similar friends for U.S. college students, different social landscapes and broad cultural attitudes may introduce their own unique constraints on how people pick their friends.

Almost 10,000 people — 10 % of the PhD candidates in the country — completed the questionnaire, which both solicited census - type data and explored issues ranging from students» motivations in doing a PhD, to supervision experiences, funding situations, and what should be changed.

To come to this conclusion, the researchers examined data from a qualitative comparative case study that explored two secondary schools organized for the inclusion of students with disabilities in general education classrooms.

Over the next four years, the grant will provide institutional training programs for faculty, staff and students; support for pilot projects to explore novel research; and development of bioinformatics infrastructure for researchers to analyze large amounts of data to aid in the prediction and prevention of disease.

Last week, I compiled some data from a 2005 Pew study to explore whether college students are using Online dating.

The report explores what the data revolution could mean for HE and students.

Each module represents an ecological scenario involving complex causality, providing a richly textured, situated environment where, through modeling and instructional support, students can explore, observe, and collect data in rich, immersive, simulated virtual ecosystems.

The next step is for staff to work with AISSA and the research team to explore the data collected during the term, including pre - and post-assessments, student surveys and videos, and to give their own reflections on the robot's impact.

Resources provide opportunities to: - explore how adverts play on our fears and dreams - explore persuasive language in advertising - explore presentational features - analyse adverts across 3 mediums (TV, radio and web)- explore synergy - study advertising across a range of mediums - plan own advertising campaign - conduct risk assessments and planning document as would be the case in the industry - give a pitch for the campaign created - explore legal and ethical - investigate the ASA (advertising standards agency)- consider budgets - conduct primary and secondary research - gather qualitative and quantitative data A work book is also included for students to complete as they study the course.

Resources will support students in doing the following: - explore the effectiveness of and create questionnaires - understand the difference between primary and secondary research - use the NRS website (secondary research) to investigate print media audiences - gather qualitative and quantitative data - explore mass and niche audiences - conduct audience research, market research and production research - research attitudes and preferences in TV - Use the BARB website (Secondary research) to investigate viewing figures - Gather research to gain data ahead of creating a new media product - present the results of research Differentiation by points.

Allows students to explore the binary opposites in which data are classified, secondary / primary discrete / continuous quantitative / qualitative and generate discussions about biased / unbiased.

This is used as a context for students to explore the way that data is presented and interpreted.

Students explore their own water consumption (the amount of water used in everyday activities; the types of water — filtered, bottled, and so on) they drink — and compare this data with the experiences of residents in the Togolese Republic, where clean water is scarce and cholera is endemic.

Students analyze their own travel data, as well as that of the whole class, and then explore strategies for reducing air pollution by choosing to ride their bike rather than drive, or by taking fewer trips.

Students exploring the issue of how we make and lose friends conduct surveys, analyze data, record video interviews, and use online editing tools to assemble their presentations.

In the second of two articles exploring how educators are using early years data to inform practice, Teacher finds out how one Adelaide primary is supporting students and parents during the transition and orientation to school.

Students will gather, process and output information in text and image form and explore a variety of image - capture and image - manipulation methods to create suitable image data.

We'll examine how small data can play a big role in student learning and school improvement, and explore how technology can be used to gain insight into what's happening behind classrooms doors.

It challenges students to explain anomalies in data (e.g. how come Uruguay did so well when its still a small, less economically developed country) and shows them how to draw their own scatter diagram to explore whether more socio - economically developed countries have more success (as measured by HDI).

While technology can certainly make math tasks more meaningful and enjoyable, we will also explore how iPads can be used to collect useful student assessment data and organize it to allow students, teachers, and parents to better understand urgent student learning needs and develop strategies for success.

Check out this book on iBooks Year 8 Maths Data Representation and Interpretation The following interactive textbook has been designed to teach Year 8 students in accordance with the following ACARA headings: Investigate techniques for collecting data, including census, sampling and observation (ACMSP284) Explore the practicalities and implications of obtaining data through sampling using a variety of investigative processes (ACMSP206) Explore the variation of means and proportions of random samples drawn from the same population (ACMSP293) Investigate the effect of individual data values, including outliers, on the mean and median (ACMSPData Representation and Interpretation The following interactive textbook has been designed to teach Year 8 students in accordance with the following ACARA headings: Investigate techniques for collecting data, including census, sampling and observation (ACMSP284) Explore the practicalities and implications of obtaining data through sampling using a variety of investigative processes (ACMSP206) Explore the variation of means and proportions of random samples drawn from the same population (ACMSP293) Investigate the effect of individual data values, including outliers, on the mean and median (ACMSPdata, including census, sampling and observation (ACMSP284) Explore the practicalities and implications of obtaining data through sampling using a variety of investigative processes (ACMSP206) Explore the variation of means and proportions of random samples drawn from the same population (ACMSP293) Investigate the effect of individual data values, including outliers, on the mean and median (ACMSPdata through sampling using a variety of investigative processes (ACMSP206) Explore the variation of means and proportions of random samples drawn from the same population (ACMSP293) Investigate the effect of individual data values, including outliers, on the mean and median (ACMSPdata values, including outliers, on the mean and median (ACMSP207)

In Florida, however, the topic can be explored systematically because that state's Department of Education has assembled an impressive warehouse of data on student performance.

After exploring some different ways of measuring segregation, Rivkin also looks at data on the connection between desegregation and student achievement.

EcoMOBILE links the fieldtrip to classwork by providing a record of what students explored and the data they collected.

We explored the relationship between variations in data use and student achievement using average annual achievement measures.

In exploring our qualitative data, we examined district policies and practices that may foster or inhibit parental and community engagement aimed at increasing student learning.

The Center provides up - to - date research, data, and analysis on current education issues and explores ways to improve student achievement and engage public support for public schools.

We then organized annual focus group sessions to explore how teachers conceptualized student engagement in light of their survey data and Lincoln's overall engagement aims.

While discussing data or student work, questions will likely emerge that can be explored in coaching observations.

In each topic, students explore scientific questions, make predictions based on evidence, analyze data, develop evidence - based explanations, and relate these explanations to situations relevant in their lives.

c) Create the conditions in which schools may implement a competency - based approach to learning; showcase examples of schools implementing competency - based education; and examine data to explore the impact on student learning and growth.

This report from Advance CTE draws on national survey data to explore the attitudes of parents and students currently involved in CTE, as well as prospective CTE parents and students, to better understand the promise and opportunity of CTE.

Our weekly coaching meetings explored reading data from Achieve 3000, an online program, and we created lists of online and offline activities that targeted student learning needs.

This webinar explored strategies for leveraging data to support college and career readiness and success (CCRS) goals for all students, with special emphasis on students in foster care.

This session will explore the use of data, scheduling, professional development, access and equity frameworks, and cultural proficiency in moving historically underserved math students into algebra by grade 8.

Students explore World History (6th), Civics and Utah History (7th), and American History (8th), analyzing historical documents and data.

The institute is also an opportunity for educators to explore ways to use multiple measures to ensure that their assessments lead to a system of data collection and analysis that result in higher levels of student achievement.

«Statistical methods are like the telescope and a microscope that enable us to explore education data that provide more meaningful understanding of educational issues, and also to utilize data - based evidence to improve school and student outcomes,» he says.

Participants will explore aspects of successful integration of personalized learning that include assessment design and management, technology and analog options, student - owned data and data - driven pathways, and interventions.

Overview This webinar explores strategies for leveraging data to support college and career readiness and success (CCRS) goals for all students, with special emphasis on students in foster care.

Eleven of 12 teachers acknowledged that the curriculum materials provided them with information to help their students explore and analyze geospatial data with the Web GIS.

In looking at why college students are not as much interested in becoming an educator as they had been, that was something we weren't able to explore just given the lack of data around that, but it's something that we'd like to continue to explore.»

Using over 20 years of National Assessment of Educational Progress (NAEP) data on revenue and expenditures for schools, the authors explore the relationship between substantive and sustained school finance reforms and improved student outcomes.

In the current phase of the RADD project, IHEP leads the Postsecondary Data Consortium, which engages key communities — institutions, students / consumers, and workforce leaders — to explore issues of data presentation and use, data collection and reporting (including burden), and public and political will for refining existing data systems or developing new oData Consortium, which engages key communities — institutions, students / consumers, and workforce leaders — to explore issues of data presentation and use, data collection and reporting (including burden), and public and political will for refining existing data systems or developing new odata presentation and use, data collection and reporting (including burden), and public and political will for refining existing data systems or developing new odata collection and reporting (including burden), and public and political will for refining existing data systems or developing new odata systems or developing new ones.

This issue of Policy Priorities explores the decidedly gray area of evolving policies, regulations, and practices around student data security and privacy.