AN EMOTIONAL INSIGHTS AND ANALYTICS BASED SMART LEARNING SYSTEM

Abstract

ABSTRACT AN EMOTIONAL INSIGHTS AND ANALYTICS BASED SMART LEARNING SYSTEM The present invention discloses an innovative educational software designed to revolutionize the way students engage with learning. By integrating real-time study session tracking, personalized learning analytics, and AI-driven emotional engagement, the system offers a holistic approach to enhance comprehension, retention, and motivation. Users can seamlessly track both physical and digital study materials, while the system provides real-time feedback, dynamic performance reports, and actionable recommendations based on individual study habits. What sets this platform apart is its ability to foster a friendly, informal emotional bond with users, offering motivational support and addressing frustrations. The software adapts to the user’s emotional state, creating a personalized learning experience. With features for data privacy, customization, and continuous improvement based on user feedback, the system is a game-changer in educational technology, making learning more engaging, effective, and tailored to individual needs. Fig 1

Specification

Description:FORM 2

THE PATENTS ACT, 1970
(39 of 1970)
&
THE PATENTS RULES, 2003

COMPLETE SPECIFICATION
(See Section 10; rule 13)


TITLE OF THE INVENTION
AN EMOTIONAL INSIGHTS AND ANALYTICS BASED SMART LEARNING SYSTEM

APPLICANT
K.RAMAKRISHNAN COLLEGE OF ENGINEERING
NH-45, Samayapuram,
Trichy, Tamilnadu, India- 621112


The following specification particularly describes the invention and the manner in which it is to be performed.
AN EMOTIONAL INSIGHTS AND ANALYTICS BASED SMART LEARNING SYSTEM
TECHNICAL FIELD
This invention represents a significant advancement in educational technology specifically within the domains of AI-driven adaptive learning systems and emotional analytics. It introduces a sophisticated software solution that integrates real-time study tracking, comprehensive learning analytics, and dynamic emotional engagement to provide a highly personalized learning experience.
BACKGROUND
Traditional educational software tools primarily focus on tracking study habits and offering progress feedback. These resources keep track of how students spend their time , the resources they utilize and how well they do on tests and assignments. While this data is useful , it lacks the concept of emotional depth that is mainly needed to keep students motivated over time. As a result, the system ignores the psychological and emotional components of learning that are essential for long-term engagement and instead concentrates only on the technical aspects of learning, such as performance indicators. This lack of emotional support often leads to disengagement , frustration and ultimately to uninstallation of the software.
Although emotional support systems such as AI-powered chatbots exist, they are rarely integrated into educational platforms. These chatbots don't deliver the individualized emotional engagement required in a learning environment because they are typically made to offer general help or respond to simple inquiries. Moreover, these systems are separate from the educational tools students use which in turn creates a fragmented experience. Because of this mismatch between emotional health and academic support, students could receive performance criticism without the emotional support they need to take charge of their education. In this way existing systems fail to address the whole learner by focusing only on the intellectual side of education without supporting emotional and psychological needs.
This gap between academic performance tracking and emotional support highlights the need for a more comprehensive solution , One that combines real time learning analytics with meaningful emotional engagement. Such a system would go beyond tracking study habits or offering feedback on learning progress. Users would be intentionally encouraged to develop an emotional bond with it, which would in turn keep them inspired, involved and linked to their academic pursuits. This is where the vision for a new type of educational software emerges, One that integrates study session tracking, learning analysis and emotional engagement into a single and cohesive platform.
The proposed software solution addresses this need by intertwining academic monitoring with emotional support by offering users a more holistic approach to learning. In contrast to conventional solutions, this platform looks deeper into the user's emotional state and engagement levels in turn providing real-time support to help them stay motivated, rather than just tracking time spent on activities and generating simple progress reports. This emotional involvement is powered by AI which interacts with students in a warm and informal way. Instead of feeling like they're interacting with a rigid system, Users will feel a personal connection as if they are conversing with a supportive companion who understands their frustrations , celebrates their achievements and offers encouragement when needed.
In order to maintain student's attention and avoid study fatigue, this degree of involvement is especially important. When using instructional software tools, many people get excited at first and then become disinterested when the adrenaline wears off. Students may grow weary and find their study sessions less productive if they don't have access to interactive features and emotional support that make learning feel more personal. In order to build a more engaging and long lasting learning environment where users feel constantly supported, emotional intelligence must be incorporated into educational platforms.
The software's adaptability to both physical and digital study contexts is another crucial characteristic. For example under the "Focus" mode, users can scan and upload real materials such as book pages to track their study sessions or they can let the software monitor their digital study activities in the background without any hassle. Because of its dual functionality this tool is flexible and can accommodate different study styles without interfering with the user's experience. Because the program operates invisibly, users would feel free to concentrate on their job while the system silently monitors their progress and engagement levels.
Students often experience emotional dilemmas during study sessions, but by expressing their thoughts and receiving meaningful insights from the software, they can address these challenges. This process helps them feel heard and leads to improved focus, reduced stress, and a more productive academic journey.
With the help of the platform's captivating visual reports and useful insights, users can monitor their development, recognize their strong points and pinpoint areas in need of improvement. The feedback loop that exists between the user and the software guarantees that the platform is dynamic and always changing based on actual user data and experiences.
OBJECTIVE OF THE INVENTION
The primary object of the present invention is to provide a cutting-edge educational software system that improves user learning experiences by combining emotional involvement, real-time learning analysis and study session tracking. The creation seeks to:
Another object of the present invention is to make sure that study habits are continuously tracked by letting users upload scanned materials or automatically tracking digital content viewed on devices.
Yet another object of the present invention is to compare self reported learning results with the actual information studied. In the process, the system analyzes user comprehension, rectifies misunderstandings, and provides personalized feedback and emotional insights.
Yet another object of the present invention is to incorporate emotional guidance. Through this feature, the system provides real-time emotional support to reduce study-related stress and enhance user satisfaction.
Yet another object of the present invention is to establish a personal bond with the user through emotional intelligence and personalized feedback. This approach aims to prevent users from losing interest or uninstalling the software, keeping them engaged in their learning journey.
Yet another object of the present invention is to promote deep learning.This encourages users to think critically and develop higher order thinking skills beyond rote memorization. Through adaptive questioning and scenario-based exercises, users are guided to apply, analyze, and synthesize knowledge, supporting long-term retention and a more meaningful understanding of the material.
Yet another object of the present invention is to use predictive analytics to anticipate learning obstacles or areas where users may struggle. By analyzing patterns and past behaviors, the system proactively suggests content or strategies to enhance performance and prevent potential setbacks.
These and other objects and advantages of the present invention will become readily apparent from the following detailed description take in conjunction with the accompanying flowchart.
SUMMARY
The current innovation is an educational software platform with three integrated modes namely Talk Mode, Analyze Mode, and Focus Mode. These modes are intended to improve learning results, increase user engagement and offer emotional support.
Focus Mode is designed for use during study sessions to enhance concentration. Users can scan and submit the pages from physical study materials to be tracked. For digital content, the software automatically monitors the materials being accessed on the device without disrupting the user. The system keeps track of study topics, session lengths, and concentration levels and gathers information for further examination.
In Analyze Mode, users can summarize their knowledge on a topic following a study session. The software then uses AI to evaluate this summary by comparing it to factual information on the topic, identifying any misunderstandings or inaccuracies. It offers feedback to guide the user toward a clearer understanding and strengthens their learning by generating personalized questions that prompt deeper investigation. This approach helps users enhance and solidify their comprehension of the subject.
Talk Mode is designed to provide users with an outlet to express their frustrations, worries, and emotions in any language, recognizing the emotional challenges that often accompany studying. With a blend of empathy and humor, the software offers personalized emotional support to keep users motivated and reduce stress. This mode helps foster a supportive relationship between the user and the system, minimizing burnout and promoting continued engagement. By integrating emotional AI across multiple modes, the software not only enhances users' mental well-being but also makes studying more enjoyable. This supportive approach helps users stay focused, improves learning efficiency, and encourages long-term app retention.
BRIEF DESCRIPTION OF THE FLOWCHART
The flowchart starts with the Start point, where the user initiates the system and is prompted to select a mode that best fits their needs. The Mode Selection node provides three options for the user: Focus Mode, Analyze Mode, and Talk Mode. Each of these modes offers specific features and functions to enhance the learning experience, depending on the user's objectives at that moment.
If the user chooses Focus Mode, the system provides tools to support concentration and track study activities. Within Focus Mode, the user must choose between two options: Physical Mode or Digital Mode. If Physical Mode is selected, the user can scan pages from physical study materials, allowing the system to capture the content for tracking purposes. The system then applies Optical Character Recognition (OCR) to convert the scanned images into editable text. The session's length and the topics studied are recorded, and this information is saved for further analysis of focus. Alternatively, if Digital Mode is selected, the system initiates Background Tracking, which passively monitors the digital materials accessed on the user's device. This tracking is done without interrupting the user's workflow. Similar to Physical Mode, session length and study topics are saved. Both modes include Real-Time Focus Support, providing reminders and time prompts to help the user maintain concentration. At the end of each session, Data Collection and Tracking aggregates information on study duration, topics, and concentration levels, leading to a Final Report summarizing the session. The flow then checks if the user wants to go back to the main menu; if so, the system loops back to Mode Selection, otherwise it exits.
If the user selects Analyze Mode, they are prompted to summarize their knowledge after a study session. This User Input Summary is analyzed by the system using AI, which compares the user's explanation to factual information about the topic to identify inaccuracies or misunderstandings. Based on this evaluation, the system provides Personalized Questions to encourage further exploration and understanding, along with System Feedback to guide the user toward improved accuracy. If the system detects inaccuracies, it offers additional Feedback to clarify misunderstandings and helps the user achieve a clearer understanding of the material. The user's accuracy level is logged, and the system provides a report on areas for improvement, ending the session or giving the user the option to return to Mode Selection.
If Talk Mode is chosen, the system allows the user to engage in a conversation where they can share their frustrations, concerns, or emotions regarding their study experience. The system's AI Emotional Analysis assesses the user's emotional state, providing empathetic responses and feedback designed to reduce stress and enhance motivation. If additional support is needed, the system provides Emotional Feedback to address the user's emotional needs and foster a positive, supportive relationship between the user and the software. The user is given the option to return to Mode Selection after receiving feedback, or they can exit the system.
DETAILED DESCRIPTION
The advanced capabilities of the educational software platform are integrated to improve the emotional and cognitive components of the learning process. It functions in three main modes: Focus Mode, Analyze Mode, and Talk Mode. Each mode offers special features designed to enhance user engagement, learning efficacy, and mental health.
When a study session starts, Focus Mode is turned on. To start tracking their study habits, the user only needs to click the "Focus" button on the app. Users can analyze their productivity and study habits by tracking the amount of time spent on each session using the system. By reducing distractions and improving focus, Focus Mode assists students in maintaining their commitment. The program provides two tracking options based on the user's preferred study medium:
Using the app's scanning feature, users can upload the pages they are currently working on while reading a printed textbook or taking notes. This generates a record for a subsequent review.
The software works in the background when users read eBooks, PDFs, or online content on digital devices. Without interfering with the user's flow, it automatically tracks the text as it is accessed. Because of this, Focus Mode is quite effective for those who would rather learn on digital devices.
The program engages with the user in conversation in addition to monitoring. It gives real-time feedback on progress during the session, including subtle prods to stay focused and time reminders. By doing this, users can keep conscious of their study habits and make necessary improvements. The system keeps track of study topics, session lengths, and concentration levels and gathers information for further examination. Once the study session is completed, users can switch to Analyze Mode, where they are prompted to explain what they've learned in their own words. This process helps in reinforcing memory and ensuring that the user understands the key concepts.
The system analyzes the user's input using artificial intelligence (AI) and natural language processing (NLP). It evaluates the precision and depth of understanding by contrasting the user's explanation with the readings reviewed. By highlighting potential areas of misunderstanding or misinterpretation, the AI gives immediate feedback.
The software points out inaccuracies in the user's explanations, offering detailed corrections that help them better understand the subject matter. By enabling users to recognize and instantly fix their mistakes, this tailored feedback loop dramatically enhances learning results.
To make the learning process more engaging, the software generates thought-provoking questions based on the material. The purpose of these questions is to push the user's critical thinking skills and application of acquired knowledge. Analyze Mode enhances comprehension and strengthens material retention by involving users in an interactive manner.
Talk Mode was created with the knowledge that studying may be mentally taxing, and it lets people express their emotions. Users are able to express their frustrations, tensions, and confusion in any language. With its sophisticated NLP capabilities, the system interprets these inputs and adjusts its response.
The program provides contextually relevant, individualized emotional assistance in response to the user's emotional condition with empathy. This could be consoling remarks, inspirational guidance, or even lighthearted replies to defuse the situation. The goal is to establish an emotional bond with the user in order to lower stress levels and increase enjoyment of the learning process.
The use of humor by Talk Mode to ease irritation or clarify difficult ideas is one of its best qualities. The software assists users in getting through challenging study periods by providing humorous analogies or lighthearted commentary. This feature not only makes studying more enjoyable but also provides students with a sense of understanding and support during challenging moments.
The emotional AI embedded in the software ensures that every interaction is personalized. It adapts its feedback and support based on user involvement levels, emotional reactions, and study habits. Long-term engagement depends on the highly customized learning experience that is produced by this ongoing adaptation.
The program helps prevent disengagement by building an emotional bond with the user. By addressing both emotional and academic needs, the software reduces the likelihood of users uninstalling it. This emotional connection is a key factor in maintaining long-term motivation and continued use of this platform.
Through the integration of cognitive learning and emotional support, our program guarantees a whole educational experience for students. In addition to academic support, users receive emotional support, which can be the difference between sustained interest and burnout. The software's ability to measure, analyze, and support results in a learning environment that is smooth and flexible enough to meet the demands of each user.
The platform offers the potential for growth, including integration with more advanced AI capabilities, such as further customization of emotional feedback, support for group learning sessions, or additional modes tailored to different learning styles. For a more widespread rollout, the software might perhaps look into joint ventures with academic institutions.
The software uses Optical Character Recognition (OCR) to transform scanned pages from physical study materials into editable text and images, seamlessly incorporating these resources into the system. In the background, it tracks user interactions with educational apps and websites through web scraping and API integrations, allowing it to continuously monitor digital study activities. This comprehensive tracking provides a complete view of both physical and digital study habits for analysis and feedback.
Data analysis technique analyzes study patterns, evaluates comprehension, and forecasts help needs using machine learning (classification and regression).
NLP assesses user justifications in Analyze Mode in order to identify misinterpretations and offer accuracy feedback.
AI Conversational Models makes use of sentiment analysis-based deep learning models to facilitate sympathetic conversations.
Personalized Insights feature adapts to the user's mood and provides individualized emotional support based on emotion recognition algorithms.
Controls for data gathering and feature activation are provided via privacy management, which also offers encryption for security.
Opt-In/Opt-Out feature permits users to activate or deactivate features for tracking and emotional support.
User Feedback Collects and analyzes feedback to guide improvements. Continuous Refinement Updates the system regularly based on user input and technological advancements using agile practices.
, Claims:CLAIMS
WE CLAIM,
1. An emotional insights and analytics based smart learning system, comprising:
a real-time study session tracking module configured to monitor and record user interactions with both physical and digital study materials, that includes, a page scanning and uploading module for tracking physical study materials through optical character recognition (OCR) and an unobtrusive background tracking module for monitoring digital study activities on the user's device without interfering with the user's learning experience;
a advanced learning analytics engine designed to analyze tracked study data and provide personalized feedback on user comprehension, retention, and focus , that includes dynamic performance reports that provide insights into time spent, materials accessed, and user engagement levels and Actionable recommendations to improve study habits, correct misunderstandings, and enhance focus;
a emotional engagement system, powered by artificial intelligence (AI), designed to interact with users in a supportive, personalized manner, that includes a Interactive AI-driven conversations that provide motivational support and address user frustrations in a friendly, informal tone and Personalized emotional insights that adapt based on the user's emotional state to help maintain motivation and engagement; and,
a feedback and improvement loop, wherein the system receives user feedback to refine and improve its features and performance over time.
2. The system for emotional insights and analytics based smart learning as claimed in claim 1, wherein the real-time study session tracking module is further configured to integrate both physical and digital study materials into a unified study record, creating a comprehensive view of the user's study activities, wherein the integration leverages optical character recognition (OCR) technology for physical materials and API integrations for digital platforms, enabling seamless data capture across both mediums.
3. The system for emotional insights and analytics based smart learning as claimed in claim 1, wherein the advanced learning analytics engine includes machine learning algorithms that make dynamic adjustments to performance recommendations based on ongoing user performance data, wherein as an alternate technology, the system can use rule-based expert systems to provide adaptive recommendations without the need for continuous machine learning processes.
4. The system for emotional insights and analytics based smart learning as claimed in claim 1, wherein the interactive AI-driven conversations are tailored to the user's emotional and motivational states in real time, adjusting the tone and content of the feedback based on the user's emotional responses.
5. The system for emotional insights and analytics based smart learning system as claimed in claim 1, wherein the personalized emotional insights are based on sentiment analysis and emotion recognition algorithms that detect the user's mood through natural language processing (NLP) and other behavioral signals.
6. The system for emotional insights and analytics based smart learning system as claimed in claim 1, further comprising a data privacy and security module that provides users with full control over their data, including encryption for user data and customizable options for data storage either locally or on the cloud.
7. The system for emotional insights and analytics based smart learning system as claimed in claim 1, wherein the unobtrusive background tracking module monitors digital study activities on the user's device through web scraping or API integrations with educational apps and websites to track content interactions.

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