Metacog enables you to build data-rich learning products
automated open-ended scoring
adaptive online curriculum
dynamic interactive visualization
richer learning objects
edugames that prove their worth
detectors that go beyond standards
Envision creating intelligent products, more closely aligned with desired learning outcomes. All available via an easy-to-use API Metacog enables you to build products that escape Bloom’s basement
IMAGE CREDIT: Rex Heer, Iowa State University
Build Smart Learning Products
Invisible Integrated Assessment: Score open-ended performance tasks automatically
PARCC, Smarter Balanced and Common Core standards enable much deeper assessment challenges to help college and career readiness and to develop complex 21st century problem-solving skills. NGSS also emphasizes evidence-based demonstration of procedural knowledge and cannot be practicably assessed utilizing multiple-choice automated scoring.
The problem is that there has been no ability (other than time-consuming hand-scoring) to score open ended challenges at scale to assess competencies from authentic learning challenges. Metacog’s technology tracks complex problem solving processes to learn what they can actually do—automatically.
Use data to inform better products: learn from your learners
Learners generate rich data streams as they solve challenges. This data can be used to understand not only how they came to their final answer, but to assess the quality of the learning objects themselves and to more deeply understand where learners are and what they should be doing next.
As students solve learning challenges, metacog can get incredibly fine grained information about student performances: how they think, how they approach difficult problems, whether they try very hard, or give up easily. We believe this type of information can replace the activity of stopping the learning process for testing.
Build smart + connected products: Compete in the new data age
With metacog you have a platform that can easily data-enable your products to both create and deliver optimal customer value.
Envision learning that much better prepares students for success in college, and beyond. 21st century jobs require 21st century learners and technologies. Metacog makes it easy to integrate advanced data capabilities into your new and existing products.
Unleash the power of predictive analytics
Advanced Machine Learning
Utilize your data to uncover patterns in learner behavior to provide new services to inform instruction through dynamic visualizations and help learning guardians to target instruction and intervention in real-time.
Uncover if learners are lost, bored, gaming the system or challenged and engaged,
Metacog, an analytics platform that can integrate seamlessly and invisibly into any existing Interactive Learning Object (ILO), provides a powerful solution. The metacog platform enables the capture and analysis of data generated by student interaction with digital learning objects so that student’s metacognitive processes become measurable.
Metacog goes beyond grading a student’s final answers; it captures their trajectory of problem-solving throughout the assessment. Metacog integrates with ILOs via a series of APIs, enabling the deployment of different functionality in different circumstances. These APIs range from data ingest and retrieval, to an automated scoring engine, data visualization, and diagnostic and recommendation preprocessing engines.
The metacog scoring API is an integral part of the metacog system. It is designed to be used by content experts to develop automated evaluations of student performance in a digital learning object.
Serving as a student-evaluation tool, the scoring API processes data generated by a metacog-enabled ILO’s (Interactive Learning Objects) and captured by the Instrumentation Ingest API. These identify salient data in the base learning object, set “hooks” into the object for collecting real-time clickstream (telemetry) data, and then aggregate and output the student interaction data in a form that can be utilized and analyzed.
“Multiple choice wires your brain to pick an answer rather than have an original thought”
The resulting scoring model, informed by research and developed using educational data mining, is adaptable, automatic, and scalable to millions of students (and more). It also is built for rigor with human-human and human-machine inter-rater reliability. The scoring model can then be used within visualizations through the visualization API. The visualization can show important patterns in ways that are friendly to researchers as well as teachers and students.
This critical scoring information also feeds into the next services provided by the platform: diagnostic information and recommendations preprocessing that is sent to your favored recommendation engines for students. Now summative and formative testing can converge invisibly and go deeper than ever before.