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Assessment Strategy

Assessment Strategy. Consider : due to small numbers of participants all data will be qualitative Types of Data Collected Draw a scientist Surveys Interviews Pre and post data was/will be collected for 1-3. 1. Draw a Scientist.

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Assessment Strategy

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  1. Assessment Strategy • Consider: due to small numbers of participants all data will be qualitative • Types of Data Collected • Draw a scientist • Surveys • Interviews • Pre and post data was/will be collected for 1-3

  2. 1. Draw a Scientist • Participants are asked to “draw what you think a scientist looks like” • In addition, we asked them to do one of the following: • On your drawing, label the various items drawn • OR write a description or explain your drawing in words • Scoring Data • A rubric from APS education1 was used to score drawings • Data expected: • appearance of scientist (eccentric Einstein type, nerdy, etc.) , symbols of research (e.g. test tubes), symbols of knowledge (e.g. books) • Who is the scientist?: Male or female, ethnicity, etc. 1 APS eduction site www.the-aps.org/education/2006rts/pdf/DASTRatingRubric.pdf (accessed 1/17/2010)

  3. 2. Surveys • Adapted from the CAEQ, Chemistry Attitudes and Experiences Questionaire2 • Participants are asked to use 5 point scales to rank several types of info. • Each scale has a positive and negative attribute. • Ex. question: “Talking about science with my friends” would be ranked from “dull” to “fascinating” • Scoring Data • Numeric values from 5-point scales are used • Data expected: • What are scientists like? (interesting, athletic, etc.) • What is science research like? (harmful, solves problems, etc.) • What are science jobs like? (tedious, satisfying, etc.) • What science activities are considered boring/interesting? 2 Dalgety, J.; Coll, R.; Jones, A. Journal of Research in Science Teaching 2003, 40, 649-668.

  4. 3. Interviews • With a small sample set, this is expected to give the most meaningful results • Questions asked to focus groups of 3-4 participants. All participants were interviewed this way. • Data Expected – sample questions • What is a scientific discovery? • How are discoveries made? • Who makes scientific discoveries? • Who can be a scientist? what is required of them? what do they do daily?

  5. Initial Pre-data • Data Collected • Draw a scientist • Beakers with bubbling reactions were common • Similar numbers of male vs. female, most scientists ethnicity was unclear • Interesting to note, most were smiling. • Surveys • No definite trend seen yet • Interviews • Still being evaluated • Will look for trends in pre and post interviews and analyze according to model developed by Strauss and Corbin.3 3 Strauss, A. & Corbin, J. (1991) Basics of qualitative research; grounded theory procedures and techniques. Sage Publications.

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