Description:Field of the Invention
This invention relates to Intelligent Curriculum Recommendation System For College Students.
Background of the Invention
The invention is an Intelligent Curriculum Recommendation System designed specifically for college students. The system utilizes advanced algorithms and data analysis techniques to provide personalized and optimized curriculum recommendations based on individual student profiles and preferences.
The Intelligent Curriculum Recommendation System aims to address the challenges faced by college students in selecting the most suitable courses from a wide range of options. It takes into account various factors such as the student's academic background, career goals, interests, and learning style to generate tailored curriculum recommendations. Using machine learning algorithms, the system analyses the student's profile and compares it with a vast database of course offerings. It considers factors such as course prerequisites, course content, instructor ratings, and student reviews to determine the suitability of each course for the student.
US 20060228689A1 The present invention is an interactive tutorial system that provides individualized assistance to students in a specific subject matter. The system includes a computing system with artificial intelligence, which enables two-way communication between the student and the system. The system generates teaching modules and provides step-by-step instruction, hints, and feedback to help the student understand and solve problems. Additionally, the system offers the option for live tutoring if further assistance is needed. The system aims to enhance the learning experience and improve student performance by providing personalized and convenient support.
Research Gap: The research gap in the field of interactive tutorial systems lies in the lack of a comprehensive and intelligent system that provides individualized assistance to students in a specific subject matter. While there are existing tutoring programs and online resources available, they often lack the ability to engage in a two-way conversation with the student and provide personalized instruction based on the student's specific needs and curriculum.

CN112131483A The system is designed to provide personalized and intelligent curriculum recommendations to college students. It employs advanced machine learning and data analysis techniques to assist students in selecting courses and academic pathways that align with their academic goals and preferences.
Research Gap: lack of personalized course content recommendation methods in online education. Existing methods often provide general course recommendations without considering the specific needs and preferences of individual learners. These methods do not allow learners to directly select and focus on specific chapters or knowledge points for study. Additionally, they lack real-time feedback mechanisms to assess learners' engagement and attention during the course

None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. Present invention is Intelligent Curriculum Recommendation System For College Students.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
The system provides an intuitive user interface where students can explore recommended courses, view detailed course descriptions, and access additional resources such as syllabi and textbooks. It also offers features such as course scheduling assistance, allowing students to plan their academic journey more effectively.
The Intelligent Curriculum Recommendation System aims to improve the overall college experience for students by simplifying the course selection process, reducing the risk of choosing irrelevant or unsuitable courses, and maximizing the value of their education. By providing personalized and optimized curriculum recommendations, the system empowers students to make informed decisions and achieve their academic and career goals more efficiently.
An intelligent curriculum recommendation system for college students WiFi Communication (15), External Supply (17), Control Unit (18), Machine Learning Algorithms (19), Display Unit (22), and Access Control (23). The system allows for personalized learning by considering each student's individual needs, preferences, and learning styles; and it considers their educational background, interests, and goals to recommend courses that are most relevant and beneficial to them. The system incorporates real-time feedback through the use of cameras and wearable devices; which analyses students' attention levels, eye movements, hand movements, and pulse data to provide valuable insights into their learning engagement and concentration; and this feedback helps students and instructors identify areas of improvement and make necessary adjustments.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
Figure 1: System Architecture
Figure 2: System Architecture
Figure 3: System Architecture
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
These and other advantages of the present subject matter would be described in greater detail with reference to the following figures. It should be noted that the description merely illustrates the principles of the present subject matter. It will thus be appreciated that those skilled in the art will be able to devise various arrangements that, although not explicitly described herein, embody the principles of the present subject matter and are included within its scope.
The system provides an intuitive user interface where students can explore recommended courses, view detailed course descriptions, and access additional resources such as syllabi and textbooks. It also offers features such as course scheduling assistance, allowing students to plan their academic journey more effectively.
The Intelligent Curriculum Recommendation System aims to improve the overall college experience for students by simplifying the course selection process, reducing the risk of choosing irrelevant or unsuitable courses, and maximizing the value of their education. By providing personalized and optimized curriculum recommendations, the system empowers students to make informed decisions and achieve their academic and career goals more efficiently.
ADVANTAGE OF THE INVENTION
1. Personalized Learning: The system allows for personalized learning by considering each student's individual needs, preferences, and learning styles. It takes into account their educational background, interests, and goals to recommend courses that are most relevant and beneficial to them.
2. Efficient Course Selection: With the system's ability to fragmentize and categorize course content, students can easily select specific chapters or knowledge points they want to focus on. This flexibility enables them to tailor their learning experience and optimize their time and effort.
3. Real-time Feedback: The system incorporates real-time feedback through the use of cameras and wearable devices. It analyses students' attention levels, eye movements, hand movements, and pulse data to provide valuable insights into their learning engagement and concentration. This feedback helps students and instructors identify areas of improvement and make necessary adjustments.
4. Continuous Optimization: By collecting and analysing data on students' attention and feedback, the system can dynamically adjust the difficulty level of recommended courses. This ensures that students are appropriately challenged and engaged, leading to better learning outcomes. Additionally, the system collects data on course effectiveness, allowing for continuous optimization and improvement of the curriculum.
5. Adaptive Learning: With the system's ability to adjust course difficulty based on real-time feedback, it supports adaptive learning. Students can progress at their own pace, and the system adapts to their individual learning needs. This personalized approach fosters a more effective and efficient learning experience , Claims:We Claim:
1. An intelligent curriculum recommendation system for college students WiFi Communication (15), External Supply (17), Control Unit (18), Machine Learning Algorithms (19), Display Unit (22), and Access Control (23).
2. The system as claimed in claim 1, wherein the system allows for personalized learning by considering each student's individual needs, preferences, and learning styles; and it considers their educational background, interests, and goals to recommend courses that are most relevant and beneficial to them.
3. The system as claimed in claim 1, wherein the system incorporates real-time feedback through the use of cameras and wearable devices; which analyses students' attention levels, eye movements, hand movements, and pulse data to provide valuable insights into their learning engagement and concentration; and this feedback helps students and instructors identify areas of improvement and make necessary adjustments.
4. The system as claimed in claim 1, wherein by collecting and analyzing data on students' attention and feedback, the system dynamically adjusts the difficulty level of recommended courses.
5. The system as claimed in claim 1, wherein with the system's ability to adjust course difficulty based on real-time feedback, it supports adaptive learning.
6. The system as claimed in claim 1, wherein Intelligent wearable devices collect hand movement and pulse data, connected to the user's device, and transmit it to the backend database for attention data analysis.
7. The system as claimed in claim 1, wherein the system automatically pauses the course and inserts short jokes or news if a lack of concentration is detected, helping the user relax before resuming the course content.
8. The system as claimed in claim 1, wherein a database with fragmented course content and difficulty levels, an algorithm for matching user preferences, and cameras/wearable devices for real-time data capture on attention levels and movements.