Computer Vision and Deep Learning for Education5
This is the final lesson in the Computer Vision and Deep Learning for Industrial and Big Enterprise Applications course:
- Computer Vision and Deep Learning for the Oil and Gas Industry
- Application of computer vision and deep learning in transportation
- Computer vision and deep learning for logistics
- Computer Vision and Deep Learning in Healthcare
- Computer Vision and Deep Learning for Education (This Tutorial)
An educated population is critical to every country's economic success because they contribute to its GDP gross domestic product. However, it is estimated that approximately 750 million adults worldwide remain functionally illiterate, primarily women living in Africa and South Asia. Global youth are of particular concern, as more than 64 million people are currently unemployed worldwide. These figures illustrate the challenge of adequately preparing the workforce for rapid technological change that requires constant retraining.
Although artificial intelligence (AI) may displace millions of workers, it has enormous potential to enable them to keep up with changing technology and remain valuable to the country.
In emerging markets,artificial intelligence has the potential to deliver affordable post-secondary education, make learning exciting and fun, and personalize content to suit individual students needs. Additionally, as evolving digital technologies, smartphones and desktops become commonplace in homes, the adoption of AI in education is likely to accelerate.
The global market for AI-based educational products is growing rapidly and is expected to reach approximately US$10 billion by 2026, at a CAGR of 45.1%. This blog will introduce the benefits, applications, challenges, and tradeoffs of using deep learning in education.
1. Benefits
Smart Content
Artificial intelligence can help teachers and research experts create innovative and personalized content for students. Artificial intelligence-based content creation can inspire real-life experiences by providing audio-visual experiences, thereby helping students perceive information in multiple ways. Additionally, AI can generate bit-sized learning through low-storage learning materials and other courses in digital formats. Personalized content can also be developed and adapted based on student perceptions of various courses, focusing on each individual's needs through features such as games, programs and more.
Task Automation
AI software can easily handle repetitive manual tasks (e.g., checking homework, grading tests, organizing research papers, maintaining reports, and making presentations/notes). For example, they can scan test papers with the help of NLP natural language processing algorithms to detect correct answers and score them accordingly. Additionally, by analyzing grades, the software can analyze where individual students are lacking and how they can improve their learning process.
Closing Skill Gap
With technology changing rapidly, upskilling students is valuable for business and economic growth. This ensures that the population remains employable and beneficial to the country. Artificial intelligence and machine learning-driven software can provide students with widely available and affordable upskilling opportunities. Additionally, deep learning can aid learning and development by analyzing how people acquire skills. Once the system adapts to human needs, it automates the learning process accordingly.
2. Application
Student Learning and Welfare
Artificial intelligence can enhance the learning experience and improve outcomes for students of all ages and socioeconomic backgrounds. Much of the data needed is already being collected (e.g., grades, school and state test results, attendance, punctuality, comparison reports, class notes, student feedback, etc.). Additionally, with emerging cognitive solutions, it is now possible to extract information from handwritten notes and audio or video recordings.
Personalized Learning
Intelligent Tutoring Systems can teach learners by providing instant and personalized feedback and providing insights into their progress. AI’s ability to connect disparate data sources can help identify areas that require real-time interventions. In addition, they can tailor and individualize learning pathways so that they are specifically designed to fit their strengths, weaknesses, talents and challenges. These personalized tutoring systems can also help learners inside and outside the classroom.
This learning will help teachers focus on other critical tasks, such as interventions with empathy and nurturing creativity, which humans are inherently better at than machines. In addition, this kind of personalized learning provides students with an optimal learning environment, allowing them to focus on their strengths and weaknesses and fully realize their potential. This improves their academic performance, attitude toward school, engagement level, and the sense of being cared for and valued. In addition, general well-being and happiness may also improve.
Netex Learning is using artificial intelligence interfaces to develop e-courses for various devices. This technology, “smart” rooms and other immersive educational experiences offer new, more effective ways to teach science, geography and other subjects.
Social, Emotional Growth, and Well-Being
Social and emotional well-being is becoming increasingly important in the education sector, as interpersonal skills, empathy, and creativity are critical for the jobs of the future. In addition, social skills such as collaboration and problem-solving are necessary for the labor market. As students’ exposure to the Internet and social media continues to increase, they need to link their outlook and moods to their ability to interact and collaborate with others and their capacity to learn). Fake news, disturbing images, stories, peer pressure, cyberbullying, health and welfare disorders, eating disorders, depression, and anxiety) will have a significant impact on learning.
Artificial intelligence and multimodal social computing can allow educators to personalize instruction and analyze qualitative and quantitative data to assess and help students master these skills , thereby helping to improve cognitive, social, and emotional skills. Additionally, AI can help predict and prevent crises in student well-being or well-being. For example, it can capture data from a variety of sources (e.g., performance reports, attendance, and teacher and counselor reports). It can also create a dashboard and alerts to help schools plan and allocate resources to provide early access to students who need help, are at risk of dropping out, or experiencing mental health, academic or personal life crises. intervention.
Acquiring 21st-Century Skills
21st century skills are the set of competencies and capabilities that students need when they graduate to reach their full potential. Although the list may vary, core skills include creativity, collaboration, critical thinking, perseverance, problem-solving, self-direction, awareness, and digital literacy). Artificial intelligence can help students develop skills in all these areas through orchestrating and personalizing learning delivery.
AI can assess progress against a large and diverse set of metrics, pulling in data from all learning pathways and generating insights that provide a holistic view of each student’s progress, providing the clearest picture of how AI is improving Value in terms of learning outputs. Helping a cohort of students develop a wide range of 21st century skills requires collecting and analyzing large amounts of data (sometimes called big data). Artificial intelligence is essential if valuable insights are to be revealed, which will aid their journey. As organizational theorist Geoffrey Moore said, “Without big data, you are blind and deaf and in the middle of a highway. freeway.)"
Educators
Artificial intelligence and analytics can help educators deliver immersive and engaging educational content to students and build personalized learning experiences for each of them. Therefore, artificial intelligence can improve teaching efficiency and help teachers and institutions provide students with an ideal learning and growth environment.
By helping teachers create personalized learning paths, AI can save them a lot of time, which they can spend on other empathetic and creative tasks that machines are not good at. Additionally, by providing them with detailed insights into each student’s behavior and progress, they can quickly identify gaps in their learning methods and improve upon them. AI can also create real-time performance reports for use by institutions and parents. These reports can be more accurate and timely than traditional reports because they reflect past performance at a set point in time during the school year.
Gradescope, a California-based startup, is offering AI-assisted grading technology that groups similar test answers into batches that teachers can scan, review and grade more efficiently. Their artificial intelligence algorithm learns to grade student submissions based on a handful of answers provided by teachers.
Data analytics can provide insights and support teamwork across the school. Department heads, counselors, and leadership can provide personalized support plans and enhanced curricula based on similar learning and metrics Contribute and collaborate. AI can help departments and faculty identify the strengths and weaknesses of current courses and structure them correctly. In addition, best practices for improving learning outcomes can be identified and shared. Finally, mentorships and peer coaching relationships can be strengthened through ready and ongoing access to both quantitative and qualitative data.
Parent Engagement
Parents play a vital role in a student's learning process. Parents' active engagement and participation in their children's learning process can teach their children punctuality and curiosity when going to school. This will motivate them to take advanced courses and excel academically. Such students also tend to have better social skills.
Schools and institutions can also benefit from active parent involvement. By prioritizing parent-teacher relationships, the learning environment for students can be improved, leading to better outcomes. Artificial intelligence can help enhance parent engagement by allowing them to be part of their child’s academic journey rather than just a reviewer. They can make sure they get data and insights from it. By providing parents with insights into their children’s progress, AI can help them reinforce the importance of education for their children.
School and Institution Management
School leaders must ensure that their institutions can continue to operate and provide services even during unexpected circumstances. Sudden expenditures for building repairs, staff absences, and peaks and troughs in student enrollment can place pressures and financial constraints on schools, affecting the quality of their services. Predictive analytics can help school leaders proactively manage and predict problems before they occur. These AI solutions can reduce energy costs, manage employee absence, optimize resources, and more.
Retaining and attracting talent is also one of the biggest challenges facing school leaders. The World Bank could recognize that a global shortage of quality teachers is causing a teaching crisis. While AI cannot create and replace teachers, it can help school leaders understand and manage attrition by addressing root causes and providing teachers with the ability to autonomously develop personalized learning paths, identify student needs, and automate. In real-time reporting, AI can reduce teacher frustration by allowing teachers to do the things they love most in a more efficient and rewarding way.
AI can interrogate and identify specific individuals who need help. For example, AI adds context to Internet searches, avoids cybersecurity breaches, and protects sensitive student data. It can also generate an alert if it notices a student seeking to harm himself.
School curricula need to change as pedagogy and skills needs change. Lack of basic skills and proficiency can hinder economic and social development and impede or impede a country's progress. AI can help school curriculum leaders by interrogating large data sets, analyzing and generating insights, and displaying them through dashboards. This will improve the quality and accuracy of information available during the course design process.
3. Challenge
Lack of Expertise and Literacy
Compared to its applications in industry and agriculture, AI is still in its infancy in the education sector in emerging economies. Most educational institutions will need a formal data management strategy to support their use of AI capabilities, and educators often need more understanding to actually implement such a strategy. Lack of technical expertise required to integrate artificial intelligence solutions involving complex algorithms is also hampering the growth of the artificial intelligence market. As is often the case with AI technologies, the data is a source of variation due to a lack of diversity in the observed population or population data set.
The Ethical Dimension
Everyone needs an ethical framework during the development and deployment phases to reap the benefits of AI in education and not be exploited. Artificial intelligence in education will raise concerns about the privacy, protection and ethical use of student data. Such an ethical framework needs to ensure that gender, socio-economic and ability biases are not introduced at the development level. It needs to ensure that cultural stereotypes are not propagated and that all learners have access to the same quality content regardless of where they live. Transparency and oversight will be required to strengthen fundamental human rights.
Equality and Access
According to a global report on Internet penetration, more than 40% of people do not have access to the Internet. There are huge differences between regions. For example, in North America, 95% of people have access to the Internet, while in Central Africa, only 12% have access to the Internet. In this digital age, not having a decent smartphone and internet can be detrimental to students. Without smartphones, access to the information needed to train unbiased machine learning models will be limited. This can be detrimental when it comes to building personalized learning pathways that adequately identify and meet their needs.
Dependence on Technology
As reliance on these machines increases, relying solely on artificial intelligence for education could be dangerous. Students who rely on artificial intelligence will lose the ability to think creatively. Perhaps those who rely on artificial intelligence for calculations have become less adept at mental arithmetic. Therefore, appropriate and effective use of artificial intelligence will always require human input. Therefore, the role of the educator may be enhanced rather than replaced by technology.
Summarize
An educated population is crucial to the economic success of every country as they contribute to the gross domestic product. In emerging markets, AI has the potential to deliver affordable post-secondary education (), make learning exciting and fun, and personalize content to meet students’ individual needs. The education sector can adopt artificial intelligence in the following ways:
- Personalized Learning: Intelligent tutoring systems can provide learners with instant personalized feedback and in-depth understanding of their learning progress. They can customize and personalize their learning pathways so that they are specifically designed to fit their strengths, weaknesses, talents and challenges.
- Well-Being: Artificial intelligence can take data from sources such as performance reports, attendance, and teacher and counselor reports and create alerts to help schools Support is provided to students who need help, are at risk of dropping out, or are experiencing a mental health, academic or personal life crisis.
- Time Saving: By helping teachers create personalized learning paths, artificial intelligence can save them a lot of time, allowing them to empathize with other tasks that machines are not good at. and spend more time on creative tasks.
- Parent Engagement: Artificial intelligence can help enhance parent engagement by allowing parents to be part of their child’s academic journey, rather than just reviewers. They can make sure they get data and insights from it. By providing parents with insights into their children’s progress, AI can help them reinforce the importance of education for their children.
- School Management: Artificial intelligence can help school curriculum leaders by integrating large data sets, analyzing and generating insights, and displaying these insights through dashboards . This will improve the quality and accuracy of information available during the course design process.
However, artificial intelligence also faces challenges in education.
- Lack of Experties: Lack of technical expertise required to integrate artificial intelligence solutions involving complex algorithms is also hindering the growth of the artificial intelligence market. As is often the case with AI technologies, the data is a source of variation due to a lack of diversity in the observed population or population data set.
- Ethical Issues: Artificial intelligence in education will raise concerns about data privacy, protection, and ethical use of student data. Such an ethical framework needs to ensure that gender, socio-economic and ability biases are not introduced at the development level.
- Equality and Access: In this digital age, not having decent smartphones and internet access can put students at a disadvantage. Without smartphones, access to the information needed to train unbiased machine learning models will be limited.