Use learner data to take the guesswork out of knowing whether an eLearning project was successful or not.
Not exact matches
Mavrogordato
used state
data to estimate reclassification rates for English
learners throughout Texas over seven years.
They measured educational outcomes
using standardized tests and looked at demographic
data, including attendance and suspension; race and ethnicity; free and reduced price lunch status; and participation in gifted education, special education, or programs for English
learners.
The task is based around the
learner being able to create a spread sheet and
use formula, fill colours, borders, the sum, average, minimum and maximum function to create the desired
data results.
The best training providers are targeting real needs; providing quick fixes and deeper learning experiences; engaging
learners and getting them to come back for more; and
using data to continually refine and improve their online training products.
In the NAEP analysis, the authors estimate student poverty with
data from the federal lunch program and estimate additional student characteristics
using data on possession of an Individualized Education Program (IEP) and English Language
Learner (ELL) status, admittedly a common practice when analyzing education
data.
Using data to build confident
learners also doesn't happen overnight — as with anything mindset - related, it requires patience and commitment on the teacher's part.
For example, include a brief audio explanation of the graph online
learners must
use to gather valuable problem - solving
data.
My areas of expertise include: a) literacy and bi-literacy instruction for English Language
Learners students of Spanish speaking background, b)
use of assistive technology to address the educational needs of students with disabilities, c) research design and analysis of qualitative and quantitative
data.
Using data collected from
learners, we were able to refine the courses to address feedback gathered before, during, and after course completion.
Using data in an intelligent way can help shape your
learners» experience.
A study of a representative sample of schools in California shows that schools where the principal and the district extensively
used test
data to improve instruction and student learning had the highest achievement for English - language
learners.
Yet the
data I have seen across several projects shows that hardly any
learners, certainly less than 10 %, are
using their smartphones to access the learning content we produce compared to projects specifically rolled out and therefore actively promoted as mobile content, which show 65 % of users on touch devices.
Use all of this
data to fine tune your explainer video so that it suits your online
learners» needs.
In addition to her research based on large - scale testing
data, Martiniello interviewed English - language
learners using think - aloud protocols to gauge children's interpretation and comprehension of the MCAS math items.
It also shows you how leading organizations are increasing
learner satisfaction by
using rules and links, surveys, and
data to personalize their content.
Learning Analytics can be
used to collect the
learner / teacher educational
data that have been defined to answer their inquiry question.
For example, if a video that was part of your learning content performed well in Japan, but your French
learners showed a preference for diagrams that broke down learning content by each step, you can
use this
data to create better quality content that works for your audience in their respective locations.
The ability to
use classroom
data that is readily accessible in real time, actionable for both the teacher and
learner, and enables informed adjustments to the learning task is what educators are asking for to close gaps and raise achievement.
The federal education law permits the Education Department to
use either
data from the Census Bureau or
data collected by states to distribute the $ 650 million for English - language
learners authorized by Title III of the NCLB law to all 50 states, the District of Columbia, and Puerto Rico.
Using the digital footprints that provide Big
Data allows educators to track each
learner's progress throughout their educational journey.
The presentations include: Seasons: A simple introduction to place the learning into context Writing an Autumn Report (Non - chronological report) A Week in Autumn (Poetry with a Grammar Focus) Halloween - A Revolting Recipe - writing instructions Halloween Literacy Bundle - variety of language tasks Autumn Handwriting (to be
used with interactive board for modelling handwriting) Autumn Maths (number, handling
data and some area activities) with answer slides Scarecrow Art There are also some online links provided within the presentations to engage the
learners.
A
learner should be able to: • understand and
use whole numbers in practical contexts • add, subtract, multiply and divide whole numbers
using a range of strategies • add and subtract decimals up to two decimal places • solve problems requiring calculation, with common measures, including money, time, and length, • convert units of measure in the same system • extract and interpret information from tables, diagrams, charts and graphs find mean and range work out areas and perimeters in practical situations collect and record discrete
data
This resource has: a) Ideas for investigating the Phase 10
Data (Ten Investigations
using CensusAtSchool Phase 10
Data.doc), b) A spreadsheet containing the counts and percentages of the results from Phase 10 up to February 2011 (CensusAtSchool Phase 10 summary spreadsheet.xls), c) A
learners» worksheet to help them plan their investigation (CensusAtSchool Planning Worksheet.doc), d) An instruction sheet to
use Pivot Tables in Excel (Pivot Tables in Excel.doc) e) A spreadsheet to be
used with the Pivot Tables in Excel worksheet (Pivot Tables in Excel.xls).
If we are to
use these
data to make sound decisions for
learners, we have to take a «learning engineering» approach: understand and invest in «good»
data, and let it guide both our imaginations and our practical decisions.
Such
data can then be
used to make educational analysis and predictions that help to determine which learning materials are appropriate, useful or irrelevant for the
learners.
This card matching activity asks the
learner to match a picture of the graph / chart to it's name, the type of
data it could display and when to
use it.
Learners are asked to take random samples of different sizes from the CensusAtSchool real
data, to decide on the best sample size to
use and to report their findings on how children travel to school locally, nationally and internationally (South African
data).
The
data you
use will depend on the kind of learning content you are providing to your
learners.
While these higher order tasks may not give us the raw quantitative
data we're
used to seeing when we stick with lower order tasks, there is something to be said for letting our
learners flex their muscles and start personalizing their responses and experiences with eLearning.
An idea of how to implement the CensusAtSchool Project in the classroom
using the
learners» own
data.
Learners are given descriptions of average pupils
using data from SportAtSchool and they are asked to compare their class's
data to these averages.
Using Big
Data, these records can help instructors when a
learner may be losing interest, when they may need assistance, or if there are any distractions in the room.
The
data will provide information on areas of development in; the delivery of lessons; the class learning environment; the scaffolding
used in lessons to promote independent
learners; the need for additional resources; and necessary SEND assessment or provision.
To combat the problem, Geekie
uses big
data and tech that «learns» about the
learner to create a customised study program.
It also shows you how to
use data and dashboards to keep track of
learner performance and outcomes.
While students and educators will nd themselves at various points on the journey, the end game is that
learners can confidently
use digital systems to ethically, safely and respectfully communicate
data as information, and apply systems thinking to analyse, predict and shape system interactions that will positively and sustainably impact the lives of those around them.
«Instead of simply devising training, rolling it out, and hoping it works — that is, a first - best - guess at what a
learner needs —
use the training to gather
data on how people think, believe, and act, for example, in simulated situations.
You can highlight the number of
learners that have achieved specific levels by
using the
data from Analytics.
Suspension Rate and the English
Learner Progress Indicators Slides (PDF) These slides cover technical information, such as
data sources, calculation methodologies, and rules
used to calculate the English
Learner Progress and Suspension Rate Indicators
[Content provided by Renaissance] How can districts
use data to support English Language
Learners?
Data Use Improves ELL Achievement: • «Similar English
Learner Students, Different Results: Why Do Some Schools Do Better?»
As schools
use more digital interactive learning environments, more
data becomes available on
learners.
Loading time could increase significantly if your
learners are
using mobile
data.
This report from the Georgetown University Center on Education and the Workforce profiles five approaches state leaders are taking to
use technological advances to improve the
use of
data and help
learners navigate the complex system of postsecondary credentials.
Students will develop a growth mindset and become critical thinkers, achievers, and life - long
learners through the
use of
data - driven instruction and community supports which meet each student's needs.
The index will also
use health and safety
data to assess student need, such as asthma rates and community violence and trauma, as well as poverty levels and the number of English
learners.
They are: English Language Development, Parent Engagement, Professional Development, Programs and Course Access, Expenditures, District Wide
Use of Concentration and Supplemental Grant Funds, School Wide
Use of Concentration and Supplemental Grant Funds, Actions and Services, Proportionality, English
Learner Data to Inform Goal
She is the founding executive director of the Rozhar Education Collaborative, an organization committed to strategically
using data to improve
learner outcomes.
With Litmos, you can engage
learners anytime through native apps for Android and iOS, extend your ecosystem by
using prepackaged connectors and REST APIs, and protect your
data through enterprise - grade security.