Students (all levels of education) are bombarded with many types of learning resources. Much of the consumption is outside of the classroom – some is required as part of a curriculum and some is not. At some level, perhaps middle school and later, students should manage their own learning. Skills Label Dashboard is an ideal platform to accomplish this requirement.
In addition, significant value is created by collecting and then storing learning labels over time. Assuming someone completes a given task, they get credit for completing it with Skill Points (a proprietary algorithm calculates these values). The diagram (an actual screenshot) demonstrates how this works.
On the menu, you see links based on a skill, how many tasks require the skill (the ranking), and total skill points earned upon completing the tasks. (Disclaimer: this is a pre-release so the numbers in the diagram are not actual examples, not calculated by algorithm.) Simply click on the link and the interactive dashboard appears with all the tasks for the skill (color coded based by assigned collections).
This application works with skills and competencies, demonstrating one approach to calculate competencies: summarize and analyze successful completion of tasks. Working with this medium, provides a basis (an assessment) to work laterally across subjects and disciplines, and vertically across education career stages. (And there is more forthcoming; there is much more with the learning labels.)
I fully back the traditional method in deriving a skill competency, where you take an assessment (test, simulation, project, etc.) and based on the results you get a competency. As I said before, a good assessment is purely free standing, not dependent on grade level, degree, age, etc. But I think, what I am suggesting with these labels and skill points is significantly different.
Essentially, a student gets credit’ for completing tasks (wherever and however it takes place). Part of the process (patent pending) is a verification the tasks expressed as labels are accurate with learning expectations and outcomes. Another part is verifying the task was completed. There are advantages to this approach to deriving a competency:
- Intrinsic motivator. Growth mindset. Students are motivated to complete tasks because they will get credit.
- Connected through education and career stages. Skill Points are calculated with a proprietary algorithm meant to distribute credit proportionately through this span.
- Allocates credit for all learning. For example, a student taking an economic course gets credit from economic analysis, problem solving, critical thinking, etc.
- Draws on data over time. Taking a test is a one-time, one-shot deal. Some students are better at taking tests than other. Completed tasks embodies a whole series of tasks over a period of time.
I think both ways of deriving a skills competency are valid, each having their own advantages.
So much is being talked about personalized learning and applied learning; these labels address both types of learning. First, this dashboard as an ideal way for students to track their learning and take control. A teacher might assign projects (as a learning label) to students directly or assign 20 of 40 projects and let the students choose. Second, thinking in skills and their underlying methods and applications is a focal point of the labels and dashboard, so is an ideal way to express experiential learning expectations and outcomes.