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CN-121998258-A - College English layering interactive teaching system based on AI and implementation method

CN121998258ACN 121998258 ACN121998258 ACN 121998258ACN-121998258-A

Abstract

The invention discloses an AI-based college English layering interactive teaching system and an implementation method, which relate to the technical field of college English teaching, and the technical scheme is as follows: the college English layering teaching system comprises an college English layering teaching system, wherein the output end of the college English layering teaching system comprises an AI learning condition diagnosis system and a layering task pushing system, the output end of the college English layering teaching system further comprises a real-time interactive feedback system and a dynamic learning condition iteration system, and the output end of the college English layering teaching system further comprises an AI combination effect statistics system. The invention has the advantages that the AI carries out layered management on knowledge conditions and comprehension conditions of different students, then carries out teaching of different knowledge for the students with different learning degrees, and simultaneously adopts the AI combined effect statistical system to carry out data statistics on the learning conditions of the students with different degrees.

Inventors

  • GAO WEIHUA

Assignees

  • 淮北理工学院

Dates

Publication Date
20260508
Application Date
20260205

Claims (10)

  1. 1. An AI-based college English layering interactive teaching system and an implementation method thereof are characterized by comprising The college English layering teaching system (1), wherein the output end of the college English layering teaching system (1) comprises an AI learning condition diagnosis system (2) and a layering task pushing system (3), and the output end of the college English layering teaching system (1) further comprises a real-time interactive feedback system (4) and a dynamic learning condition iteration system (5); the output end of the college English layering teaching system (1) further comprises an AI (advanced technology) combination effect statistical system (6), and the output end of the AI combination effect statistical system (6) is provided with a teaching result and evaluation system (7); The teaching result and evaluation system (7) output end is equipped with AI and fuses effect classification system (8), AI fuses effect classification system (8) output end and is connected with AI teaching data classified storage system (9).
  2. 2. The college English layering interactive teaching system and the implementation method based on the AI are characterized in that the output end of the AI learning condition diagnosis system (2) comprises an NLP pre-lesson pre-learning result analysis system (10) and a classroom interactive effect recording system (11).
  3. 3. The college English layering interactive teaching system and the implementation method based on AI according to claim 2 are characterized in that a vocabulary test module (12) and a grammar problem module (13) are arranged at the output end of the NLP pre-lesson result analysis system (10).
  4. 4. The college English layering interactive teaching system and the implementation method based on the AI are characterized in that the output end of the classroom interactive effect recording system (11) comprises an AI number one-to-one real-time interactive answering module (14) and a layering student classroom learning effect detection module (15).
  5. 5. The college English layering interactive teaching system and the implementation method based on the AI are characterized in that the output end of the layering student classroom learning effect detection module (15) is connected with a post-class vocabulary detection system (16) and a post-class hearing detection system (17).
  6. 6. The college English layering interactive teaching system and the implementation method based on AI of claim 4, wherein the output end of the layering student classroom learning effect detection module (15) further comprises a post-class grammar detection system (18), a post-class spoken language detection system (19) and a post-class writing detection system (20).
  7. 7. The college English layering interactive teaching system and the implementation method based on the AI are characterized in that the output end of the teaching result and evaluation system (7) comprises a classroom plot analysis reporting system (21), and the output end of the classroom plot analysis reporting system (21) is connected with a teacher teaching strategy adjusting system (22).
  8. 8. The college English layering interactive teaching system and the implementation method based on the AI are characterized in that the output end of the layering task pushing system (3) comprises a student learning situation layering system (23) and a course multilayer classification system (24).
  9. 9. The college English layering interactive teaching system and the implementation method based on AI of claim 8 are characterized in that a multi-layer student and course automatic matching system (25) is arranged at the output end of the course multi-layer classification system (24), and a classroom task layering pushing system (26) and an extracurricular content diverging pushing system (27) are arranged at the output end of the multi-layer student and course automatic matching system (25).
  10. 10. The college English layering interactive teaching system and the implementation method based on AI of claim 8, wherein the student learning situation layering system (23) comprises a base layer student module (28), a lifting layer student module (29) and a fine-entering layer student module (30), and the output end of the student learning situation layering system (23) further comprises a multi-layer student understanding force analysis module (31).

Description

College English layering interactive teaching system based on AI and implementation method Technical Field The invention relates to the technical field of college English teaching, in particular to an AI-based college English layering interactive teaching system and an implementation method. Background College english teaching is one of the core public basic courses of higher education, with the goal of helping students transition from high school-stage test english to practical english capability for academic research, professional development, and cross-cultural communication. In the existing college English teaching process, class students have large level difference, unified teaching is not applicable to students with different knowledge levels, and the learning degree of the students is uneven, so that subsequent teaching is affected. Disclosure of Invention Therefore, the invention provides an AI-based college English layering interactive teaching system and an implementation method, which are matched with teaching through AI layering to solve the problem that unified teaching is not applicable to students with different knowledge levels. In order to achieve the aim, the invention provides the technical scheme that the college English layering interactive teaching system and the implementation method based on the AI comprise a college English layering teaching system, wherein the output end of the college English layering teaching system comprises an AI learning condition diagnosis system and a layering task pushing system, and the output end of the college English layering teaching system also comprises a real-time interactive feedback system and a dynamic learning condition iteration system; the output end of the college English layering teaching system also comprises an AI (advanced technology interface) combination effect statistical system, and the output end of the AI combination effect statistical system is provided with a teaching result and evaluation system; The teaching result and evaluation system output end is provided with an AI fusion effect classification system, and the AI fusion effect classification system output end is connected with an AI teaching data classification storage system. Preferably, the output end of the AI learning condition diagnosis system comprises an NLP pre-lesson learning result analysis system and a classroom interaction effect recording system. Preferably, the output end of the NLP pre-lesson result analysis system is provided with a vocabulary test module and a grammar problem module. Preferably, the output end of the classroom interaction effect recording system comprises an AI number one-to-one real-time interaction answering module and a layered student classroom learning effect detection module. Preferably, the output end of the layered student classroom learning effect detection module is connected with a post-class vocabulary detection system and a post-class hearing detection system. Preferably, the output end of the layered student classroom learning effect detection module further comprises a post-class grammar detection system, a post-class spoken language detection system and a post-class writing detection system. Preferably, the output end of the teaching result and evaluation system comprises a classroom analysis reporting system, and the output end of the classroom analysis reporting system is connected with a teacher teaching strategy adjustment system. Preferably, the output end of the layered task pushing system comprises a student learning situation layering system and a course multi-layer classification system. Preferably, the multi-layer classification system output end of the course is provided with a multi-layer student and course automatic matching system, and the multi-layer student and course automatic matching system output end is provided with a classroom task layering pushing system and an extracurricular content diverging pushing system. Preferably, the student learning condition layering system comprises a basic layer student module, a lifting layer student module and a fine-stepping layer student module, and the output end of the student learning condition layering system further comprises a multi-layer student understanding force analysis module. The beneficial effects of the invention are as follows: The AI carries out layered management on knowledge conditions and comprehension conditions of different students, then carries out different knowledge teaching on students with different learning degrees, and meanwhile, the device adopts the AI combined effect statistical system to carry out data statistics on learning conditions of the students with different degrees so as to facilitate better subsequent teaching; meanwhile, the system carries out classification statistics on the teaching result and the learning condition fusion effect through the AI fusion effect classification system, and carries out big data statistics on the