A TOEFL lecture recommendation service providing system using automatic scoring based on artificial intelligence machine learning is provided, and answers to multiple choice questions including TOEFL reading and listening, and short answer questions including speaking and writing are provided in number selection, text and voice. , At least one student terminal receiving the recommended lecture data based on the incorrect answer data among the provided answers, a check to check the incorrect answer by comparing the number-selective answer to the multiple-choice problem received from at least one student terminal with the previously stored answer Based on the automatic scoring unit for scoring text-type and voice-type answers to the subjective question based on the pre-built big data and artificial intelligence, the incorrect answer of the multiple-choice problem checked in the check unit, and the scoring result of the automatic scoring unit. And a TOEFL lecture recommendation service providing server including an analysis unit that analyzes the vulnerability of at least one student terminal, and a provision unit that provides a recommended lecture to at least one student terminal by searching for a pre-stored lecture using the analyzed vulnerability as an input value. .
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