Phanintorn Suaprae
Prachyanun Nilsook
ABSTRACT
The purposes of this research were: 1) Analyze factors affecting the student retention of higher education students, 2) Develop intelligent consulting system models with intellectual technology for the student retention of higher education students, 3) Design intelligent consulting system architecture with intellectual technology for the student retention of higher education students, 4) Develop intelligent consulting systems with intellectual technology for the student retention of higher education students, and 5) Study the results of intelligent consultation systems with intellectual technology for the student retention of higher education students. An intelligent counseling system with intellectual technology for the student retention of higher education students is a system that can reduce students' mid-exit rates and increase student retention rates. The research has synthesized analysis of factors that affect Student retention applied to Cognitive technology, machine learning can provide accurate student retention forecasts. Counselors can know before students drop out.
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Index Terms
- System framework of intelligent consulting systems with intellectual technology
Index terms have been assigned to the content through auto-classification.
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