Using scenarios to train peer mentors online
Worsley, Jenny, and Taylor, Pauline (2010) Using scenarios to train peer mentors online. In: Errington, Edward Peter, (ed.) Preparing Graduates for the Professions Using Scenario-Based Learning. Post Pressed, Mt Gravatt, QLD, Australia, pp. 159-167.
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In 2007, a wholly-online Bachelor of Early Childhood Education degree was introduced into the School of Education's suite of pre-service teacher preparation programs. The online degree provides access and opportunity for (predominantly) women in the childcare or associated fields to gain qualifications as a teacher. The majority of students in the first and subsequent years of the program are mature aged women with significant family and work commitments and have had little prior opportunity to engage in online technologies or in further education opportunities [Taylor, 2008). The university has had a very successful face-to-face Peer Mentoring Program (PMP) for almost 20 years (Treston, 1999).
Given the success of the existing PMP, academics, learning advisers and mentors were anxious to provide appropriate and timely support to these virtual students' transition, success and retention (Calder. 2003; 2004). The PMP recruits potential mentors within programs. Initially. mentors in the PMP for online students were those who had been trained on-campus for mentoring on-campus students. This chapter outlines how scenario-based learning was used in the development and implementation of an online PMP training program.
|Item Type:||Book Chapter (Research - B1)|
|Keywords:||scenarios, e-mentoring, pedagogy|
|Date Deposited:||08 Sep 2010 00:21|
|FoR Codes:||13 EDUCATION > 1399 Other Education > 139999 Education not elsewhere classified @ 50%
13 EDUCATION > 1302 Curriculum and Pedagogy > 130299 Curriculum and Pedagogy not elsewhere classified @ 50%
|SEO Codes:||93 EDUCATION AND TRAINING > 9302 Teaching and Instruction > 930201 Pedagogy @ 70%
93 EDUCATION AND TRAINING > 9301 Learner and Learning > 930102 Learner and Learning Processes @ 30%