Sentences with phrase «learning data produced»

e-Learning analytics solutions leverage the student learning data produced by next - generation learning management systems to allow education institutions to monitor, evaluate, and predict student performance.

Not exact matches

Downtown Raleigh Alliance produces several reports on a regular basis that can help new retailers understand the market, learn about new developments, and find data useful for their business planning efforts.

Finally, the big data produced by high throughput, high resolution and high speed imaging techniques is managed, processed and analysed through machine learning approaches.

In learning about how this method works — its strengths and its weaknesses — I understood that the patterns it produces could reflect spatial structure in population data.

Harvard Graduate School of Education will work with the Strategic Education Research Partnership and other partners to complete a program of work designed to a) investigate the predictors of reading comprehension in 4th - 8th grade students, in particular the role of skills at perspective - taking, complex reasoning, and academic language in predicting deep comprehension outcomes, b) track developmental trajectories across the middle grades in perspective - taking, complex reasoning, academic language skill, and deep comprehension, c) develop and evaluate curricular and pedagogical approaches designed to promote deep comprehension in the content areas in 4th - 8th grades, and d) develop and evaluate an intervention program designed for 6th - 8th grade students reading at 3rd - 4th grade level.The HGSE team will take responsibility, in collaboration with colleagues at other institutions, for the following components of the proposed work: Instrument development: Pilot data collection using interviews and candidate assessment items, collaboration with DiscoTest colleagues to develop coding of the pilot data so as to produce well - justified learning sequences for perspective - taking, complex reasoning, academic language skill, and deep comprehension.Curricular development: HGSE investigators Fischer, Selman, Snow, and Uccelli will contribute to the development of a discussion - based curriculum for 4th - 5th graders, and to the expansion of an existing discussion - based curriculum for 6th - 8th graders, with a particular focus on science content (Fischer), social studies content (Selman), and academic language skills (Snow & Uccelli).

Don't just collect the data and produce reports — take learning analytics to the next level by creating actionable outcomes from LA.

At HEAF, we've had students expand their critical thinking skills by rewriting the endings to well - known stories; publishing their writing on a student blog; conducting research as they learned to collect, analyze and report on data; engaging in civics and current events by running their own political campaigns during election time; and planning and producing their own films on class topics.

In today's modern learning environment, responses and interactions of every employee during the learning phase, such as engaging in forum discussions, employee assessment matrix, and engagement in online assessments, produce data which is recorded in the log file.

You can learn so much from dipping into the data about how the content we produce is used.

Instead of a decrease, however, the 2013 NAEP test produced a demographically - adjusted increase of 5.4 months of learning over the 2003 data.

Ideally, you want to be able to report on any piece of data which you LMS can produce, such as number of learners, number of hours spent learning, assessment statistics, specific details on which modules from a course have been completed and how long this took, which classes are proving popular, etc., as all of this data is extremely important to your training measurement efforts.

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.

The first edition of the Digest, Laying the Foundation to Measure Sustainable Development Goal 4, finds that many countries struggle to produce the data needed today, and will find it even harder to It focuses specifically on areas that are difficult to measure, such as education quality, learning, equity and inclusion.

Students learn research and community - engagement skills more commonly taught in graduate - level urban planning programs than in high school, and produce professional - quality reports incorporating data they have gathered and analyzed.

The Scope of this project is to: - Provide seed funding and support pilot implementation of ideas resulting from the June 2014 design workshop on improving outcomes for babies in foster care; - Launch pilots of co-designed strategies for working collaboratively with parents in creating daily, regularized family routines in four sites and evaluate executive function skills, child development, child literacy and parental stress levels of participants pre -, during, and post-intervention; - Build a core group of leaders to help set the strategic direction for Frontiers of Innovation (FOI) and take on leadership for parts of the portfolio; - With Phil Fisher at the University of Oregon and Holly Schindler at the University of Washington develop a measurement and data collection framework and infrastructure in order to collect data from FOI - sponsored pilots and increase cross-site and cross-strategy learning; Organize Building Adult Capabilities Working Group to identify, measure and develop strategies related to executive function and emotional regulation for adults facing high levels of adversity and produce summary report in the fall of 2014 that reviews the knowledge base in this area and implications for intervention, including approaches that impact two generations.

And it produces no state - level data on student learning in history, civics, and other key subjects.

GIS Brings «Real Life» to Learning A Geographic Information System combines maps and information databases to produce displays that allow users to see and manipulate data in new ways.

As the Charter School Growth Fund's Alex Hernandez writes, the shift to online learning will produce a «fire hose of real - time student data.»

With the help of AI, we produce eLearning products that are data - driven, are capable of analyzing learners» decisions and making adjustments to prioritize learning and knowledge retention.

At this initial stage, the research hasn't produced data to suggest which settings yield higher - quality experiences, but the early findings highlight the importance of understanding what makes for a stimulating learning environment in the informal, home - based settings where younger children spend more of their time.

Participants learned basic data exploration techniques for producing descriptive analyses; produced cutting - edge analyses in high school completion, college - going indicators, and teacher placement and retention; assessed operational use of data; and learned methods and strategies for program evaluation.

Assigning paper - based quizzes ensures that almost all of the information on student mastery will be lost, while the software produced by a dozen or more firms is able to quickly read the results from electronically administered tests into an evolving portfolio of data that tracks student learning.

What We Have Learned about eLearning: An Overview Thirteen years ago, the Instructional Technology Council's (ITC) board of directors created this survey instrument so as to produce data of use to eLearning practitioners.

Even though the use of Learning Lists produced positive results, inputting data and updating the system was still too labor - intensive and time - consuming for teachers, the paper said.

Without quality assessment practices that produce accurate data, we can't determine the strengths and needs of our students or how to differentiate in their learning; which schools are performing well and which need assistance; and what programs and

The Seiter Education Center utilizes the Unique Learning System (ULS) as an student assessment system to produce student learniLearning System (ULS) as an student assessment system to produce student learninglearning data.

Levy describes the processes and criteria Expeditionary Learning schools have developed to collect data on students» achievement in three areas: mastery of knowledge and skills; students» character and engagement in their learning; and whether students are producing high - qualiLearning schools have developed to collect data on students» achievement in three areas: mastery of knowledge and skills; students» character and engagement in their learning; and whether students are producing high - qualilearning; and whether students are producing high - quality work.

● Oversee the implementation of the educational vision across all campuses, and ensure schools are producing amazing outcomes for students ● Ensure all schools meet their academic and cultural goals ● Build a strong, collaborative team of principals ● Ensure schools are operationally strong, aesthetically beautiful and clean, within budget, and well - organized ● Oversee performance management systems and the hiring process across the schools ● Manage the college teams in supporting students as they prepare for college ● Provide individual development and management to school principals through one - on - one meetings, coaching, modeling, planning, and feedback ● Lead regular professional learning for school leaders (topics such as instructional leadership, personnel management, school operations, data analysis, school culture, and family investment) ● Study and analyze data on an ongoing basis ● Work with school principals to develop and implement action plans based on academic results

While the law took us a step forward by requiring schools to disaggregate achievement data and produce evidence that students were learning, it took us several steps backward when that evidence was reduced to how well a student performs on a standardized test.»

Challenged to find a better course, the Instructional Technology team at Lee County School District in Fort Myers, Florida, forged a program that produces useful data, gives educators more time to teach, and helps student learn more and score better on standardized tests.

You will learn how to successfully deliver an online exam, manage student data and how to produce reports.

While the analysis by Waters, Marzano and McNulty produced interesting data, extrapolations from their estimates to principal effects on student learning in real - world conditions must be made with considerable caution.

By using the Hivemind platform's dynamic and intelligent task routing, we demonstrate a more efficient way to produce high - quality machine learning training data.

If you don't take the time to learn proper tax filing methods alongside the speedy data entry and delivery of software, the resulting tax junk can produce painful audits and penalties.

Unreal Studio has been designed as a shortcut to producing high - quality, real - time, fully immersive visual experiences, introducing new learning tools, professional support and assets, along with the Datasmith workflow toolkit for streamlining transfer of CAD and 3ds Max data into Unreal Engine.

The system first «learns» what are the right phrases or terms, then begins to work through the unstructured data to produce results.

Chinese companies and threat actors are collecting vast stores of psychographic and demographic data that can be leveraged by Big Data machine learning algorithms to produce insights that facilitate information warfare against populations, Counterintelligence operations against Intelligence assets, and precision - targeted attacks against critical infrastructure executidata that can be leveraged by Big Data machine learning algorithms to produce insights that facilitate information warfare against populations, Counterintelligence operations against Intelligence assets, and precision - targeted attacks against critical infrastructure executiData machine learning algorithms to produce insights that facilitate information warfare against populations, Counterintelligence operations against Intelligence assets, and precision - targeted attacks against critical infrastructure executives.

It uses personal data and machine learning to produce its assessments, yet unlike similar apps its AI operates on the ethereum blockchain.

Professional Experience National Association Family Institute (Waterbury, CT) 8/2009 — Present Program Coordinator • Formulate and implement appropriate IEP goals while employing effective assessment techniques to record progress and develop data - driven prediction of instruction success • Produce creative and effective student accommodations, focusing on the integration of significant 1:1 time • Communicate effectively with speech / occupational / physical therapists on student progress, including areas of strength / weakness as well as behavioral and emotional considerations • Develop and leverage supportive relationships with parents to promote the creation of a 24/7 learning environment, including the organization and involvement in class trips to foster vocational skills

Our partners in the UK Safer Internet Centre, the South West Grid for Learning, produce an Annual Analysis, which looks at the self - review data from 5,500 UK schools using their free self - assessment tool 360 Degree Safe.