ASCD's newest issue of Policy Points (PDF) also reveals that 38 states use at least four rating levels to differentiate teacher performance, and just over a dozen states base 50 percent or more of a teacher's evaluation
on student learning data.
Policy Points also reveals that 38 states use at least four rating levels to differentiate teacher performance, and just over a dozen states base 50 percent or more of a teacher's evaluation
on student learning data.
And how much of a teacher's evaluation is based
on student learning data?
Example: Software at Cristo Rey generates reports
on student learning data that guide how teachers organize small - group lessons and projects.
These MCLs» actions differed somewhat, but several overarching themes emerged, including building strong teacher relationships and focusing
on student learning data:
Not exact matches
Math education software DreamBox provides educators with recordings and
data into how
students are
learning and progressing so that educators can focus
on the areas where their classrooms need the most help.
In addition to test scores, PISA collects
data on student learning styles.
«Having
students reflect
on why they are doing certain experiments and what they are
learning as they go, for example with an online journal, helps them
learn about experimental design and interpretation and where
data comes from.»
For example, he says, it's not clear how the
student experience of taking a course compares to being mentored one -
on - one, or whether a research experience helps
students learn how to interpret scientific
data.
The website also presents
data on the state of science
learning by gender and whether or not English is the
student's primary language.
The papers also describe key decision points in the curriculum development process and how the pilot test
data on student and teacher
learning and classroom enactment were used to revise and improve the unit.
A group of Brigham Young University professors have found that giving
students access to their personal biological
data has a profound impact
on their
learning experience.
We have shown that it possible to build a robotic system that also leverages large amounts of autonomously collected
data to
learn widely applicable manipulation skills, specifically object pushing skills,» said Frederik Ebert, a graduate
student in Levine's lab who worked
on the project.
The creation of a «
data science for all» ecosystem is the goal of a new initiative at Purdue University that will make
data science education part of every
student's
learning experience
on campus while also boosting research and partnerships to help grow the
data - driven economy.
Doctoral
student Helen Malone has been researching time and
learning and says that because this is so new, «there's no rigorous
data yet, but what they are finding is that kids are making significant gains
on standardized test scores.»
The
data trail gave me insight into
student learning and oversight of the
learning process — how to structure a child's
learning plan based
on his or her responses to questions during the video.
«If you pay attention to what
students learn and what they don't, you
learn how to teach more effectively,» says Paul Bambrick - Santoyo, whose book Driven by
Data is a primer on data - driven instruct
Data is a primer
on data - driven instruct
data - driven instruction.
A second study, recently published in the Proceedings of the National Academy of Sciences (PNAS) by Gary Chamberlain, using the same
data as Chetty and his colleagues, provides fodder both for skeptics and supporters of the use of value - added: while confirming Chetty's finding that the teachers who have impacts
on contemporaneous measures of
student learning also have impacts
on earnings and college going, Chamberlain also found that test - scores are a very imperfect proxy for those impacts.
--
data on school climate,
student and teacher supports, and
learning opportunities from
student, teacher, and parent surveys.
This information was then placed
on a
data wall in the
learning space in proximity to where the
student was
on that
learning spectrum.
The report profiles several charter schools that utilize sophisticated computer technology to individualize instruction, reinforce
students» basic skills, and provide immediate
data on student progress, all of which helps teachers to fine - tune instruction and
students to
learn at their own pace.
The
data need to be analyzed
on a differentiated basis and focused
on discerning the
learning a
student has demonstrated.
His comment was based
on a pioneering study by Chetty, Friedman, and Rockoff, published in this issue (see «Great Teaching,» Research), which for the first time combines tax
data that reveal earnings at age 28 with information
on student learning when that person was in elementary school.
But because
student - performance
data on the state's standardized science exam indicated that our
students did not understand these subject areas in a deep and meaningful way, the teachers decided to use a new approach: They chose to embrace a project -
learning strategy to connect science and colonial history through a local historic site that dates back to the 1640s, the Saugus Iron Works.
Benefits: Greater accountability; Drawing teachers focus
on what skills need to be taught; Identification of
students who have not reached expected benchmarks in reading and numeracy, supported by evidence and
data; Improved preservice teacher training and teacher professional
learning.
Rather than lecturing or delivering whole - class instruction though, the teacher, who can be armed with
data about where
students are in their
learning, can meet one -
on - one with each
student and have meaningful conversations about the work she is doing.
More importantly
on the back - end, decisions about the underlying technology architecture and standards for
data / content transport will also have implications for both the vendor marketplace and integration of all sorts of other
data systems (reporting, analytics,
student information systems, formative assessments, content repositories,
learning management systems, etc.).
This set of resource includes: • 6 attractive PowerPoint presentations which lead the class through each of the lessons • Fun and thought provoking activities and discussion starters, worksheets and questions to reinforce the
learning • 6 differentiated homework tasks • A mark sheet which allows pupils to track their own progress • An end of unit test to prepare the
students for exams or can be used as a form of assessment • A complete teacher's guide including easy to follow lesson plans • An answer booklet to help the teacher along The lessons are: Lesson 1 — Looking into ethical and moral dilemmas such as driverless cars and the impact of technology
on modern life Lesson 2 — More ethical dilemmas including the ratings culture, medical apps, sharing personal
data and cyber bullying Lesson 3 — Environmental issues with technology and how organisations and individuals can reduce these effects Lesson 4 — The Computer Misuse Act 1990 Lesson 5 — The Data Protection Act 1998 Lesson 6 — Copyright Designs and Patents Act 1988 For more high - quality resources written by this author visit www.nicholawilkin
data and cyber bullying Lesson 3 — Environmental issues with technology and how organisations and individuals can reduce these effects Lesson 4 — The Computer Misuse Act 1990 Lesson 5 — The
Data Protection Act 1998 Lesson 6 — Copyright Designs and Patents Act 1988 For more high - quality resources written by this author visit www.nicholawilkin
Data Protection Act 1998 Lesson 6 — Copyright Designs and Patents Act 1988 For more high - quality resources written by this author visit www.nicholawilkin.com
DI is a lens that we use ongoing during the
data analysis and planning process for great strategic impact
on student learning.
After logging
on to the
learning management system, which shows personal goals and progress
data, a
student decides what to study and when to move
on.
Naomi and Natalie increased their focus
on classroom routines because the
data showed that Kate's
students were
learning faster.
They are making moves to integrate a variety of technologies to track how
students learn and to use the resulting
data to expand the use of hands -
on, project - based
learning.
Instead the system requires
students to rote
learn and move
on while teaching staff focus
on data collection and admin rather than people.
The ASD - ENA
data has helped to highlight a number of identified
learning needs and offers some useful insights
on how to best support
students on the spectrum in the following areas: academic and
learning; behaviour; sensory issues; communication; transition; school connectedness;
student wellbeing; and, technology.
With all the
data we collect
on our
students, it can feel overwhelming to be so aware of the diversity of
learning needs in even a single classroom.
Whole - school commitment: All staff are required to participate in the process, which involves being an active member of a professional
learning team focused
on understanding
student data and improving instruction.
Adaptive software helps to identify gaps and show progress
on each
student's
learning dashboard, and real - time tracking
data is available to teachers.
An effective
learning culture in a school has a number of key features, including: engaging teachers in collaboration, using
data to inform decision making and
learning activities, conducting professional
learning that is based
on current research and identifying the impact of professional
learning on staff and
student outcomes from the outset (AITSL, 2013b).
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).
Teachers at the school collect
data on student progress every five weeks and use it to inform their fortnightly collaborative professional
learning sessions and planning.
Any strategy can be differentiated, depending
on what assessment
data tells us what
students need for a
learning outcome.
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.
Moving forward, many school teams say they will use what they
learned from the course and continue to meet
on a regular basis to look at
data through a different lens — how teachers can change teaching practice to improve
student outcomes.
For instance, I am co-principal investigator
on the IES - funded Center for Standards, Alignment, Instruction, and
Learning, and one of our main projects is a longitudinal study of NAEP
data to understand the impact of «college - and career - readiness standards»
on student achievement.
Outcomes related to the Report Card category of approaches to
learning can captured in administrative
data on student participation in extracurricular activities such as clubs, sports, and music.
These plans consisted of lists of the
students each teacher would work with during each block of the day, current
data on students»
learning needs, and lesson plan recommendations aligned to
learning objectives and
students»
learning needs.
«Beginning with the end in mind» can focus
on a particular
student's
learning path; setting «manageable and measurable objectives» can be informed by real - time,
student level
data.
The School of One manages these feats (currently, just for middle school math) by collecting
data on which
learning objectives
students have mastered and how they like to
learn, then assigning them each day to appropriate lessons — making use of traditional instruction, small group instruction, solo tutoring, online tutoring, computer - assisted instruction, and so
on.
Well - functioning school choice requires a federal role in gathering and disseminating high - quality
data on school performance; ensures that civil rights laws are enforced; distributes funds based
on enrollment of high - need
students in particular schools; and supports a growing supply of school options through an expanded, equitably funded charter sector and through the unfettered growth of digital
learning via application of the U.S. Constitution's commerce clause.
Our
data on student achievement come from the Washington State Assessment of Student Learning, a statewide test given annually in 3rd through 8th grade as well as in 10th
student achievement come from the Washington State Assessment of
Student Learning, a statewide test given annually in 3rd through 8th grade as well as in 10th
Student Learning, a statewide test given annually in 3rd through 8th grade as well as in 10th grade.