000-017   000-080   000-089   000-104   000-105   000-106   070-461   100-101   100-105  , 100-105  , 101   101-400   102-400   1V0-601   1Y0-201   1Z0-051   1Z0-060   1Z0-061   1Z0-144   1z0-434   1Z0-803   1Z0-804   1z0-808   200-101   200-120   200-125  , 200-125  , 200-310   200-355   210-060   210-065   210-260   220-801   220-802   220-901   220-902   2V0-620   2V0-621   2V0-621D   300-070   300-075   300-101   300-115   300-135   3002   300-206   300-208   300-209   300-320   350-001   350-018   350-029   350-030   350-050   350-060   350-080   352-001   400-051   400-101   400-201   500-260   640-692   640-911   640-916   642-732   642-999   700-501   70-177   70-178   70-243   70-246   70-270   70-346   70-347   70-410   70-411   70-412   70-413   70-417   70-461   70-462   70-463   70-480   70-483   70-486   70-487   70-488   70-532   70-533   70-534   70-980   74-678   810-403   9A0-385   9L0-012   9L0-066   ADM-201   AWS-SYSOPS   C_TFIN52_66   c2010-652   c2010-657   CAP   CAS-002   CCA-500   CISM   CISSP   CRISC   EX200   EX300   HP0-S42   ICBB   ICGB   ITILFND   JK0-022   JN0-102   JN0-360   LX0-103   LX0-104   M70-101   MB2-704   MB2-707   MB5-705   MB6-703   N10-006   NS0-157   NSE4   OG0-091   OG0-093   PEGACPBA71V1   PMP   PR000041   SSCP   SY0-401   VCP550   CISSP   810-403   CAS-002   300-206   200-101   OG0-093   000-104   MB6-703   CISSP   1Z0-144   070-461   1Z0-060   SSCP   LX0-103   220-901   640-911   102-400   220-901   70-346   000-017   CAP   LX0-104   102-400   350-050   350-018   PEGACPBA71V1   350-018   1Z0-051   2V0-621D   70-462   c2010-652   300-075   220-902   300-206   70-463   OG0-091   70-413   352-001   70-488   1Z0-804   70-533   OG0-093   220-801   CISSP   640-692   CISM   350-001   CAS-002   70-980   3002  

IXL in the Data-Driven Classroom

IXL in the Data-Driven Classroom

A case study of Mary Williams Elementary School in Dumfries, Virginia

April 26, 2017

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In the Classroom, For Admins

Fifth grade teacher Lisa Ivy has been an IXL believer for seven years, and she uses IXL Math extensively with her class at Mary Williams Elementary School in Dumfries, Virginia. She’s a big fan of IXL’s real-time analytics feature because it gives her the data she needs to monitor student progress, keep her administrators informed, and make better instructional decisions in the classroom.

A Commitment to Standards-Based Learning

Lisa holds her class—nicknamed the “Ivy League”—to high standards. All students are expected to master grade level objectives in math. Without IXL, Lisa says, it used to be hard to monitor progress towards goals and identify areas where students were struggling. IXL gives her students the opportunity to practice skills while at the same time providing the data Lisa needs for instructional planning.

Students in Lisa’s class work on IXL Math 3­–5 hours a week. She assigns daily homework on IXL directly tied to the objectives students are working on in class. In addition to working on skills at home, students can access IXL during small group rotations in class or when they have finished other classwork. Lisa does not assign specific mastery goals but says that time in the program naturally helps students achieve mastery objectives. “They are really self-motivated by the SmartScore,” Lisa says.

Lisa also has a popular after-school IXL club for all 5th graders, which currently has a waiting list of almost 30 students! Students love the informal environment of the after-school club, where skills are practiced by disco-light and mastery is celebrated with horns and music.

All of this practice produces an immense amount of student data, which Lisa puts to work in her classroom.

“IXL Analytics frees me from paper and data collection. It makes it easy to see where students are [on the objectives] so I know what I need to do in the classroom each day.”

– Lisa Ivy, 5th grade teacher

Putting Data to Work

Lisa uses the reports from IXL Analytics in a number of ways in her daily classroom practice:

  • The Skills Practiced report helps Lisa see how students are progressing overall. She can look at the report by objective and use the data to guide her instructional plans for the class—for example, she may decide to spend more time on an objective where the class is struggling or skim over an area that most students have already mastered.
  • Lisa uses the Trouble Spots report to identify areas where individual students are struggling. She uses this data to plan individual or small group interventions for students who are falling behind.
  • The Students Quickview report allows Lisa to see which skills students are working on and quickly verify whether or not they have completed their assigned objectives for the week.

IXL Analytics also helps Lisa communicate with parents, colleagues, and administrators:

  • Lisa sends parents a biweekly update on student progress. She also reviews IXL data during parent-teacher meetings so parents can see how their child is progressing towards mastery of grade level standards.
  • Lisa uses IXL data to identify students for Tier II or Tier III intervention within the school’s RTI program. IXL data becomes part of each student’s RTI folder, which informs the intervention specialist’s plans.
  • Three times per year, Lisa takes her IXL data to a data meeting with her principal. IXL Analytics allows her to quickly communicate class progress and identify students in need of additional intervention.

Lisa especially appreciates the way IXL Analytics makes data easy to understand. She explains, “It gives me nice, clean reports that are very easy to read and very easy for kids and parents to understand.” Best of all, it saves time and lets Lisa focus on instruction rather than data collection. “It gives me the freedom to run different reports showing data that would normally take a lot of time to gather. It breaks everything down for me in a form I can actually use to make decisions, so I can focus on teaching instead of just trying to gather data,” she says.

Watching Students Soar

Lisa has seen huge dividends in the classroom with IXL Math. Her students are highly motivated to master new skills in IXL; Lisa’s “Ivy League” regularly comes out on top in monthly school-wide competitions for most skills mastered on IXL. And all this practice has a direct impact on student performance.

“My students always do well,” says Lisa. “Many of my students have done phenomenally well on end-of-year tests and are working at the advanced level.” Lisa reports that performance in IXL is highly correlated to performance on district benchmarks, allowing her to use IXL Analytics to predict student performance on the benchmark tests. “IXL works because it pushes them,” she says. “It’s not just repetition at a baseline level—it actually gets harder as they get better. So if they get to a [SmartScore of] 90 or higher on IXL, I know they’re going to be in a good place on the test.” As for her students, they just seem to enjoy the process—charts, horns, disco balls, and all.

A copy of the full case study is available for download here.

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