Download Science Education and Student Diversity: Synthesis and by Okhee Lee PDF

By Okhee Lee

The fulfillment gaps in technology and the under-representation of minorities in science-related fields have lengthy been a priority of the country. This booklet examines the roots of this challenge by way of supplying a entire, 'state of the sphere' research and synthesis of present learn on technological know-how schooling for minority scholars. study from a number of theoretical and methodological views is delivered to undergo at the query of ways and why our nation's colleges have didn't supply equitable studying possibilities with all scholars in technology schooling. From this wealth of investigative facts, the authors suggest a examine schedule for the sphere of technology schooling - making a choice on strengths and weaknesses within the literature up to now in addition to the main pressing priorities for these devoted to the ambitions of fairness and excellence in technology schooling.

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Hill, C. Pettus, and B. A. Hedin (1990) examined seven factors thought to influence science career choices: teacher/counselor encouragement, participation in science-related hobbies and activities, academic selfimage, science-related career interest, parental encouragement and support, perceived relevance of mathematics and science, and mathematics and science ability. Although it is unclear in the article how ability was defined, it seemed to indicate primarily mathematics and science skills and knowledge (1990, p.

Some studies addressed multiple topics and thus are included in more than one area. , research setting, participants, data collection and analysis), results, and conclusions. 31 0:19 P1: FCW 0521859611c03 CUNY354B/Lee 0 521 85961 1 May 10, 2006 32 0:19 P1: FCW 0521859611c03 CUNY354B/Lee 0 521 85961 1 May 10, 2006 3 Students and Science Learning There is a rather extensive body of literature in the broad category of students and science learning, compared to more limited bodies of literature in other categories described later.

J. Grandy (1998) used the LISREL model with data from a longitudinal survey of high-ability minority SAT takers to determine the effects of students’ background and school variables on persistence in science over five years. Data collection occurred at three points in time over the five-year period, each with winnowing of the sample. The first data collection in 1985 involved high school students who had scored at least 550 on the SAT mathematics test section (which placed them among the top 29% of the SAT population) and had indicated that they planned to major in a science/engineering field in college.

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