The การสร้างตัวแบบการทำนายในการเลือกศึกษาต่อในระดับอุดมศึกษา โดยการใช้เทคนิคแบบบูรณาการในการแก้ปัญหาการจำแนกข้อมูลไม่สมดุลของกลุ่มผู้เรียน
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บทคัดย่อ
การเลือกกลุ่มสายวิชาที่ไม่เหมาะสมเพื่อเรียนต่อในระดับอุดมศึกษา เกิดจากการที่นักเรียนยังขาดประสบการณ์และยังไม่รู้จักกลุ่มสาขาวิชามากพอ ส่วนใหญ่ใช้ความรู้สึกหรือค่านิยมเป็นหลักใหญ่ในการตัดสินใจ อาจไม่ทราบถึงความรู้เฉพาะด้านของกลุ่มสายวิชาที่เหมาะสมกับทักษะของตัวเอง ดังนั้นเพื่อให้นักเรียนสามารถเลือกเรียนในกลุ่มสายวิชาที่เหมาะสมด้วยการสร้างตัวแบบการทำนายในการเลือกศึกษาต่อตามทักษะของกลุ่มผู้เรียนในเชิงพหุปัญญาโดยใช้เทคนิคแบบบูรณาการ จากการวิจัยพบว่า ข้อมูลกลุ่มสายวิชามีความไม่สมดุลกัน (Imbalanced Data) จึงแก้ปัญหาด้วยเทคนิคบูรณาการ คือ การแก้ปัญหาข้อมูลขาดหายด้วย Single Imputation การปรับสมดุลข้อมูลด้วย SMOTE การคัดเลือกคุณลักษณะด้วย RFE และสร้างตัวแบบทำนาย 3 เทคนิค คือ Bagging, Boosting, Stacking ผลการวิจัยสรุปได้ว่าทักษะที่มีความสำคัญมากที่สุดโดยการใช้เทคนิค Stacking คือ ทักษะด้านเหตุผลและคณิตศาสตร์ มีค่าความสำคัญ 77% เมื่อเปรียบเทียบกับเทคนิคอื่น ซึ่งทักษะนี้เป็นรากฐานสำคัญของวิทยาการหลายสาขาส่งผลให้ทักษะนี้มีความสำคัญในการศึกษาต่อระดับอุดมศึกษา
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