'Like master, like man'
To master complex generic skills (or ‘21st century skills’), it is important to form a concrete and consistent mental model of all constituent sub- skills and mastery levels of a skill. If you know for which mastery level you are striving (feed up) and can mirror performances against this benchmark with help of others (feedback), than you can focus on your deficient sub-skills (feedforward) to become a ‘master’.
Rubrics enhanced with video
An analytic assessment rubric describes skills’ mastery levels in text, by means of a set of performance indicators for constituent sub-skills. However, we hypothesize that text-based rubrics have a limited capacity to convey contextualized, procedural, time-related and observable behavioral aspects of a complex skill, thus restricting the construction of a rich mental model. In the Viewbrics-project secondary school teachers and pupils, researchers and various domain experts jointly developed and tested a technology-enhanced formative assessment methodology with video-enhanced rubrics. This is done for three generic complex skills: presenting, collaborating and information literacy. This methodology is converted into a digital assessment tool which was evaluated in several rounds with various stakeholders and schools.
Tested
The complete methodology to formatively assess and master complex generic skills is adopted and will be evaluated by means of a quasi-experimental design on several secondary schools. We expect that using video-enhanced rubrics instead of text-based rubrics will lead to a ‘richer’ mental model and improves feedback quality (in terms of consistence as well as concreteness) while practicing a complex skill, for both pupils and teachers.
The Award
The yearly Best Research and Practice Project Award recognises projects by practitioner researchers in the field of education, learning and instruction, and training and development, which exceptionally contribute to educational practice. Viewbrics is one of the three nominees for this year’s award. On November 2017 the winner will be announced at the EAPRIL 2017 conference.
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