A Mobile Toolkit for Placement Learning

Students whose professional qualifications are gained through work placement-based learning are assessed as to their competency to carryout tasks. These students are usually supported by mentors, qualified practitioners who regularly meet with them and give feedback on their progress. This support can be highly variable, affecting the quality of the students’ learning experience. Through a process of co-design the mPLAT project has created a mobile toolkit to connect students’ placement experiences with the professional competency model that they are assessed against. The toolkit does this by matching their learning requirements to a placement and producing an Action Plan that acts as a focus for their reflection and for their meetings with their mentors.

• Type: Conference
• Year: 2008
• Where: ICALT
• Authors: Pei Zhang, David E. Millard, Gary B. Wills, Yvonne Margaret Howard, Sue J. Faulds, Lester Gilbert, Dan Sparks
• Keywords: ICALT 2008, Machine Learning, Professional Competency Model, Professional Qualifications, Work Placement-based Learning