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Data at the national, state, and local levels all indicate disproportionately low enrollment of Black/African American students in Advanced Placement (AP) classes at the high school level. Black/African American students are missing out on educational opportunities and access to an equitable education by not participating in AP classes in high school. One method for high schools to address this issue is to explore the processes in place for recommending/selecting students for AP classes. The purpose of this study was to develop and pilot a talent-spotting tool using student data for teachers and school counselors to use in the AP course recommendation process. Specifically, this protocol was developed to identify more students, especially Black/African American students, whose data indicated that they might be ready for AP coursework. The researcher developed the talent-spotting tool, and the algorithm used to process the data, and tested its effectiveness in identifying students who should be recommended for AP classes. The researcher employed the following methodology for the study: (a) developed a data-based talent-spotting tool protocol draft; (b) obtained input from potential users regarding current course recommendation practices (including the use of AP Potential) and their perceptions of the talent-spotting tool and its potential usefulness via an anonymous, web-based survey; and (c) piloted the talent-spotting tool and compared the results with course recommendations based on SY1819 AP Potential data and with the SY1819 actual course recommendations. Based on survey responses from potential users, the majority indicated they want a process that is simple to use and can be a portion of the course recommendation process, but not the entire process. Participants appreciated the objectivity that the talent-spotting tool brought to the course recommendation process, but many were not ready to completely give up on the subjective human factors that are involved with course recommendations. Furthermore, the talent-spotting tool accurately identified students who were recommended for AP courses. But, more importantly, the talent-spotting tool identified more students who were not recommended for AP courses but who have the aptitude to succeed in those courses. In fact, the talent-spotting tool identified a higher proportion of Black/African American students than white students. The adoption of this talent-spotting tool as part of the course recommendation process has the potential to directly impact the disproportionate representation of Black/African American students in AP courses.