In the new era, the professional development (PD) of college teachers is significantly affected by their teaching and scientific research (TSR) ability. With a high TSR ability, teachers can enhance their professional literacy, explore the student behaviors in teaching practice, and optimize and improve the teaching mode. The research of college teachers’ TSR ability has just started, lacking systematic, in-depth exploration. There is no report on the TSR subjects, or the effect of TSR ability on PD, not to mention empirical analysis of the correlations between TSR ability and PD. Therefore, this paper probes into the correlations between the TSR ability and PD of college teachers. Firstly, the data correlation principles were introduced for TSR ability and PD of college teachers, and an evaluation index system (EIS) was established for college teachers’ TSR ability. Then, the scores of college teachers’ TSR ability in a region were associated with the scores of college teachers’ PD. On this basis, the nearest neighbor algorithm and the joint compatibility branch and bound (JCBB) algorithm were combined to derive an improved index data correlation model. Through experiments, the proposed model was proved effective, and the regional analysis results were obtained © 2022. International Journal of Emerging Technologies in Learning.All Rights Reserved.
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