Question 2 Overcoming biases requires to you reflect on how you can acknowledge, challenge and correct bias to improve your diversity competence and apply lessons learned in class. In this reflection activity, you will be graded on the depth of your reflection and learning. Note that merely stating and repeating the lessons learned in class is not sufficient. You would need to apply it to your own lives and special context. The total word limit for Question 2 is 1,200 words. Language and References It is important that you write clearly, using correct grammar, punctuation and spelling. Include at least THREE (3) journal articles or book chapters references. (no need to include three references for each sub question) (5 marks)/nQuestion 2a What is your personal definition of bias? Grading Criteria Personal definition of bias. Description A good personal definition and perspective on bias is clearly written and incorporates concepts that we have covered in the course. You should be able to identify which concepts apply or do not apply to your personal definition of and perspective on bias. Marks 10 Question 2b Recount a life experience that has shaped any one bias that you hold? Recounting of life experience A good description of life experiences or circumstances and their relevance to the bias held (10 marks) 10 (10 marks)/nQuestion 2c Using a relevant model covered in the course, assess how can you overcome biases in the future based on your understanding of your capabilities for change? Strategies to overcome personal biases You will be graded on the strategies you hope to apply to overcome personal biases. In particular, your strategy/action plan has to be specific to your individual capacity for change. 15 (15 marks) Question 2d Applying your knowledge of the diversity training effectiveness literature, how far do you think that diversity training is effective in reducing bias? Effectiveness of diversity training You will be graded on how well you apply the scientific knowledge about diversity training effectiveness to comment on its potential to reduce bias. 10 (10 marks)

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