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IoT DEVICE SYSTEM AND METHOD FOR INTEGRATING IQ, EQ AND SQ MEASUREMENTS INTO PERSONALISED LEARNING PLANS FOR SCHOOL AND COLLEGE STUDENTS
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Abstract
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Specification
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ORDINARY APPLICATION
Published
Filed on 1 November 2024
Abstract
IoT DEVICE SYSTEM AND METHOD FOR INTEGRATING IQ, EQ and SQ MEASUREMENTS INTOPERSONALISED LEARNING PLANS FOR STUDENTS ABSTRACT This invention outlines a novel system and method for Internet of Things (IoT) devices that integrate IQ, EQ and SQ indicators into individualised lesson plans for students. The proposed Internet of Things (IoT) system gathers real-time data on students' emotional, spiritual and cognitive characteristics using networked sensors, advanced data analytics and machine learning algorithms. Individualised lessons tailored to each student's profile are made possible by the integrated analytics. The strategy encourages well-rounded development, boosts academic performance and makes personalised learning routes possible by gathering intelligence from multiple dimensions. This invention highlights the possibilities of the internet of things (IoT) in the classroom by providing a game-changing strategy for student engagement and individualised instruction.
Patent Information
Application ID | 202441083651 |
Invention Field | COMPUTER SCIENCE |
Date of Application | 01/11/2024 |
Publication Number | 45/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
Ms. Victoria Henry | Assistant Professor and Head, Department of Commerce, Stella Maris College (Autonomous), No. 17, Cathedral Road, Chennai, Tamil Nadu-600086, India. | India | India |
Applicants
Name | Address | Country | Nationality |
---|---|---|---|
Ms. Victoria Henry | Assistant Professor and Head, Department of Commerce, Stella Maris College (Autonomous), No. 17, Cathedral Road, Chennai, Tamil Nadu-600086, India. | India | India |
Specification
Description:FORM 2
THE PATENTS ACT, 1970
(39 of 1970)
&
THE PATENT RULES, 2003
Complete Specification
(See section10 and rule13)
1. Title of the Invention: IoT DEVICE SYSTEM AND METHOD FOR INTEGRATING IQ, EQ AND SQ MEASUREMENTS INTO PERSONALISED LEARNING PLANS FOR SCHOOL AND COLLEGE STUDENTS
2.Applicants
Name Nationality Address
Ms. Victoria Henry Indian Assistant Professor and Head, Department of Commerce, Stella Maris College (Autonomous), No. 17, Cathedral Road, Chennai, Tamil Nadu-600086, India.
3. Preamble to the description:
The following specification particularly describes the invention and the manner in which it is to be performed.
4. DESCRIPTION
FIELD OF THE INVENTION
The present invention aims to show IoT device System and Method for Integrating IQ, EQ and SQ Measurements into Personalised Learning Plans for School and College Students.
BACKGROUND OF THE INVENTION
Modern education has been transformed by the rise of personalised learning plans, which allow for instruction to be adapted to each student's particular needs. With the rise of IoT devices, schools and colleges can create a data-rich ecosystem that tracks students' IQ, EQ and SQ (Social Quotient), as well as their emotional and intellectual intelligence, in real-time, which is invaluable in today's dynamic educational environment. Despite mounting evidence that emotional intelligence (EQ) and social intelligence (SQ) play significant roles in promoting holistic student development, traditional educational practices often rely on IQ assessments to evaluate and assist pupils. An Internet of Things (IoT)-enabled approach that integrates these many variables into learning frameworks can paint a fuller picture of the unique abilities, weaknesses and areas for improvement of each student.
An important challenge in developing personalised learning plans is determining how to effectively measure and integrate different forms of intelligence. Although intelligence tests have long been the gold standard for evaluating students' progress in school and college, they fall short when it comes to measuring skills like social cooperation and emotional resilience. Emotional intelligence (EQ) encompasses qualities like self-awareness, empathy and emotional regulation - all of which are critical for handling stressful situations and learning well. Nowadays, in our increasingly digitised and globalised world, the ability to work in a team and effectively communicate with others is essential. This is where social intelligence, or SQ, comes in. A method to learning that is more comprehensive and addresses both cognitive and social-emotional aspects can be developed by integrating IQ, EQ and SQ insights.
The difficulties of collecting data in real-time in educational settings can be mitigated by solutions made possible by the Internet of Things. Internet of Things (IoT) sensors and gadgets integrated into educational environments allow for the real-time monitoring and analysis of IQ, EQ and SQ data. Digital task performance may stand in for cognitive abilities, classroom sensors can document social interactions and wearable devices can detect physiological markers of emotional moods. With the help of this Internet of Things architecture, data can be constantly collected and synthesised, creating a profile of each student that evolves as they engage with various learning resources, peers and teachers. Individualised learning programs are the end result of the proposed system of Internet of Things devices processing and interpreting collected data with the help of sophisticated analytics, machine learning algorithms and adaptive technologies. To help students grow in all areas of development-cognitive, emotional and social-teachers can utilise these learning plans to tailor interventions and provide immediate feedback depending on student performance on assessments.
The overarching objective is to cultivate diverse, flexible learners who are prepared to face future difficulties and this integrated method not only fits in with that goal but also accommodates individual learning preferences. A revolutionary step forward in education could be achieved with an Internet of Things (IoT)-powered system that incorporates EQ, SQ and IQ measures into individualised lesson plans. Educators can give students a well-rounded education that helps them succeed in school and college and in life by adopting this novel strategy. By connecting the dots between more conventional forms of assessment and the diverse range of skills and knowledge needed to cultivate complete human beings, this paradigm has the potential to revolutionise personalised learning.
SUMMARY OF THE INVENTION
This invention is an IoT system that consolidates three dimensions of intelligence - IQ, EQ and SQ - into a coherent and individualised curriculum for students. Through the use of Internet of Things (IoT) devices and sensors, the system monitors and assesses students' emotional, social, cognitive and behavioral development in real-time, collecting crucial data that sheds light on the unique learning styles, abilities and character traits of each individual student. This approach measures students' intelligence, emotional intelligence and social intelligence using data collected from a variety of sources, including digital exams, interaction-based sensors and wearable devices.
The ability to solve problems, think logically and have academic knowledge are all components of IQ that are measured through cognitive-based exercises and exams. While participants engage in different learning scenarios, sensors track their emotional reactions, engagement levels and stress indicators to determine their EQ. In contrast, social intelligence (SQ) is evaluated by looking at how well students get along with others, work in groups and express themselves, with an emphasis on how adaptable they are in different social situations. The Internet of Things (IoT) system then uses AI algorithms to decipher the measurements and come up with a tailored strategy for learning. Overall cognitive, emotional and social growth, as well as the development of specific learning strengths and weaknesses, are the goals of this strategy. The system's adaptability means it can learn new strategies in real time, which means personalised learning paths can be fine-tuned indefinitely.
BRIEF DESCRIPTION OF THE DRAWINGS
Fig.1: depicts Use of IoT in e-Learning.
Fig.2: depicts smart learning process.
Fig.3: depicts Construction of personalised learning and knowledge system.
Fig.4: depicts assessing the factors influencing the intention to use ICT.
BRIEF DESCRIPTION OF THE INVENTION
Modern education has been transformed by the rise of personalised learning plans, which allow for instruction to be adapted to each student's particular needs. With the rise of IoT devices, schools and colleges can create a data-rich ecosystem that tracks students' IQ, EQ and SQ (Social Quotient), as well as their emotional and intellectual intelligence, in real-time, which is invaluable in today's dynamic educational environment. Despite mounting evidence that emotional intelligence (EQ) and social intelligence (SQ) play significant roles in promoting holistic student development, traditional educational practices often rely on IQ assessments to evaluate and assist pupils. An Internet of Things (IoT)-enabled approach that integrates these many variables into learning frameworks can paint a fuller picture of the unique abilities, weaknesses and areas for improvement of each student.
An innovative approach to personalised education is presented in this invention, which is called IoT Device System and Method for Integrating IQ, EQ and SQ Measurements into Personalised Learning Plans for Students. The smart system utilises IoT devices and a number of metrics, including IQ, EQ and SQ. Adaptive learning plans are created for each student based on their unique cognitive, emotional and social behaviors that are tracked in real-time by the system's Internet of Things (IoT) sensors. The parts, how it works and the unique things it has are all laid out here.By measuring and assessing not just IQ but also emotional and social competencies, this method aims to tackle the multifaceted character of learning. It builds a complete picture of each student by collecting, processing and interpreting their IQ, EQ and SQ. Learners' engagement, social interactions, mood and reaction to difficulties are just a few of the aspects that the system may track with the help of Internet of Things (IoT) devices like smart sensors, wearables and learning management software.
ESSENTIAL PARTS OF THE INVENTION
1. Sensors and Internet of Things Devices: Several Internet of Things (IoT) devices and sensors, including wearables and devices installed in the classroom, gather data in real-time on students' physiological reactions, interactions and levels of engagement, which form the basis of the notion. Moods may be predicted using face recognition, social behavior can be shown by interaction patterns and emotional states can be tracked through pulse rate fluctuation with the use of these gadgets.
2. IQ, EQ and SQ Assessment and Measurement Modules
- IQ Assessment: The system evaluates a student's ability to solve problems, remember information and reason logically using cognitive assessment modules.
- Evaluation of variables: Emotional intelligence is assessed in this module by the use of physiological indicators, such as pulse and body language and self-reported emotional responses, collected through questionnaires conducted through mobile applications.
Measurement in square units: The SQ module tracks students' communication and social interactions to see how they handle group projects, deal with social situations and work with their classmates.
3. Engine for Analysing Data: In order to make sense of all the data streaming in, this CPU employs sophisticated machine learning algorithms and big data analytics. In order to find trends and each student's individual learning profile, the engine integrates data from the IQ, EQ and SQ dimensions.
4. Generator for Adaptive Learning Plans: Using the information gathered, the system creates individualised lesson plans that focus on each student's strengths and weaknesses. To promote well-rounded growth in cognitive, affective and social domains, it proposes personalised learning plans, classroom activities and interactive exercises based on the profile of the individual.
5. A System for Feedback and Adjustment The system keeps tabs on the student's progress and adjusts their learning plan based on their real-time performance statistics. The learning experience is ensured to be relevant to the student's evolving demands through this ongoing feedback loop.
An ongoing cycle of data collection, processing and useful insights powers the IoT-enabled system. Devices connected to the internet of things continuously record responses and actions taken by students as they interact with course materials and activities. Take problem-solving as an example; IQ measures cognitive load, EQ measures emotional states and SQ measures collaborative styles during group tasks. After receiving these data, the system's algorithms analyse them to find important features and correlations that aid in selecting the most effective teaching method.
Predictive analytics allow the system to foresee potential difficulties in learning and propose solutions, such as providing more help in areas where the student may be emotionally struggling or proposing group projects to improve social interaction skills.
THE INVENTION'S ADVANTAGES
1. A Comprehensive Educational Program This system takes into account more than just cognitive abilities when determining academic success; it combines IQ, EQ and SQ assessments. Personal and academic development necessitate emotional resilience and social adaptability, which the system's adaptive approach cultivates in a controlled learning setting.
2. Unlimited customisation in real-time: Data collected through the Internet of Things allows for an interactive learning environment where students receive immediate feedback and the learning plan is continuously adjusted. With this function, you can be certain that your students will always be working on materials tailored to their individual abilities and interests.
3. Boosted Participation and Customer Staying Power: Having personalisedinvention plans that address each student's strengths and areas for improvement increases the likelihood that they will devote significant time and effort to their studies, which in turn improves their retention and comprehension. Having lessons that are directly applicable to their lives and build on their existing abilities boosts students' intrinsic motivation and self-assurance.
4. Support from Teachers and Parents: The system provides instructors and parents with valuable insights and data that can be used to analyse a student's progress across multiple aspects. Having a deeper grasp of students' emotional, social and cognitive development allows parents and educators to offer more personalised support and encouragement.
5. Adaptable to many types of teaching environments: Elementary and secondary schools and colleges, online learning environments and special education are just a few of the many potentialuses for this Internet of Things (IoT)-based system. The technology can adapt to different school and college environments and accommodate different learning needs.
An innovative method of teaching that considers and fosters each student's holistic growth is the Internet of Things (IoT) device system that integrates IQ, EQ and SQ assessments into personalised learning plans. By adapting teaching methods to each student's unique combination of cognitive, affective and social abilities, this invention hopes to improve students' educational experiences. Success in today's globally linked world requires not only strong academic performance but also high levels of emotional intelligence and social skills, which our approach helps to cultivate. An invaluable resource for the educational system of the future, this complex yet malleable technology may soon transform personalised learning.
, Claims:
We Claim:
1. A system for integrating IoT-enabled IQ, EQ and SQ measurements to generate personalised learning plans, enhancing student engagement and academic performance.
2. A method to dynamically assess and adjust IQ, EQ and SQ data in real time through IoT devices, facilitating personalised learning interventions.
3. A device to capture and process IQ, EQ and SQ metrics for students, enabling educators to tailor lesson plans to individual cognitive, emotional and social needs.
4. A system for synchronising IQ, EQ and SQ measurements with cloud-based student profiles, providing seamless updates to personalised learning plans.
5. An IoT-enabled platform to aggregate and analyse IQ, EQ and SQ data, offering insights into students' holistic development and learning outcomes.
6. A method for real-time feedback integration from IoT devices based on IQ, EQ and SQ analysis, optimising adaptive learning pathways.
7. A device capable of capturing multi-dimensional intelligence metrics (IQ, EQ and SQ) to continuously refine learning plans for improved student success.
Dated this 30th October 2024
Documents
Name | Date |
---|---|
202441083651-COMPLETE SPECIFICATION [01-11-2024(online)].pdf | 01/11/2024 |
202441083651-DECLARATION OF INVENTORSHIP (FORM 5) [01-11-2024(online)].pdf | 01/11/2024 |
202441083651-DRAWINGS [01-11-2024(online)].pdf | 01/11/2024 |
202441083651-FORM 1 [01-11-2024(online)].pdf | 01/11/2024 |
202441083651-FORM-9 [01-11-2024(online)].pdf | 01/11/2024 |
202441083651-REQUEST FOR EARLY PUBLICATION(FORM-9) [01-11-2024(online)].pdf | 01/11/2024 |
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