首页|Study Findings from Hunan Applied Technology University BroadenUnderstanding of Artificial Intelligence (Cultivation Methods andEffectiveness Assessment in Te aching University Language Coursesin the Context of the Artificial Intelligence Era)

Study Findings from Hunan Applied Technology University BroadenUnderstanding of Artificial Intelligence (Cultivation Methods andEffectiveness Assessment in Te aching University Language Coursesin the Context of the Artificial Intelligence Era)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news reportingout of Hunan, People’s Repu blic of China, by NewsRx editors, research stated, “Aiming at the blindspots of university language course learning in the age of artificial intelligence, this paper builds a technicalframework of intelligent cultivation method with a uni versity language intelligent question bank, classroomstudent behavior recogniti on model, and intelligent teaching evaluation model as the main modules.”The news journalists obtained a quote from the research from Hunan Applied Techn ology University:“The knowledge point mastery model is constructed, the knowled ge point test question matrix is composed,and the learner similarity calculatio n is carried out to design the intelligent question bank. Introduce theYOLO alg orithm to solve the problem of occlusion and small target detection of students’ behavioralactions, and propose a student behavior recognition model based on t he improved YOLOv5. Intelligentselection of language teaching evaluation indexe s, adoption of the recursive goal evaluation method, andestablishment of the te aching evaluation model. In the evaluation of the cultivation method, HZ University is used as the research site, and experimental and control classes are set u p to conduct comparativeexperiments.”

Hunan Applied Technology UniversityHun anPeople’s Republicof ChinaAsiaArtificial IntelligenceEmerging Technolo giesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.18)