AI in Education

• The guide is about the use of Artificial Intelligence in the Educational Field

Introduction

• Artificial intelligence has emerged as one of the most transformative technologies of our time, influencing fields like medicine, agriculture, transportation, and entertainment.
• The rapid advancement of AI poses challenges related to ethics, privacy, security, employment, and inequality.
• It is crucial to address these issues and ensure AI benefits all of humanity.
• In education, AI promises to revolutionize teaching and learning by personalizing learning and automating administrative tasks.
• The guide explores how AI is transforming education, examining its current and future applications, as well as its ethical and social implications.
• The definition of AI is the development of computer systems that can perform tasks that normally require human intelligence.
• This includes machine learning, environmental perception, reasoning, and decision-making.
• The objective of AI is to mimic human cognitive abilities to solve problems, adapt to situations, and improve with experience.
• Nuria Oliver classifies AI systems into three categories based on their competence level:
  • Specific IA (also know as narrow IA)
  • General IA (also know as strong AI)
  • System with superintelligence

AI in Daily Life

• IA is used in the optimization of hospital management, attention the medical by facilitating the management of data, allowing from remote, treatments personalization, supporting investigation medical or providing care domiciliary through systems.
• Banks use AI to improve customer service, predict market trends, manage risks, automate financial processes, detect fraud and personalize services.
• Industry uses AI to optimize processes, prevent failures, improve efficiency, predictive prevention, quality control & reduces costs.
• IA is used in fleet management, autonomous navigation systems, demand forecasting and predictive maintenance.
• AI is used to optimize processes, improve decision-making, increase efficiency, manage resources, analyze public policies, citizen care, and prevent crime.
• Commerce uses AI to personalized shopping, managing inventory, logistics, segmenting clients, marketing strategies, detecting fraud, improve security, and automate tasks.
• Education uses AI to personalize, develop eductional content, optimize teaching and learning.
• IA contributes to the monitor and prediction of climate changes, management of natural resources, city planning, conservation, waste management and cleaning.
• personal assistants are gaining terrain and changing how people interacts with technology, answering quickly, completing tasks like calls/controlling devices.
• Cities use sensors and management systems to monitor traffic, air and water quality, optimizing resources, reducing energyconsumption, and improving quality of life.
• The capacity of the IA to process large quantities of data allows significatives advances in efficiency, personalization, and decision making

IA In Education

• AI is starting to make its way into education, integrating tools into areas like personalized learning, virtual tutoring, automation of administrative tasks, data analysis, and development of educational resources.
• IA is included in the form educational curriculum, giving educators the necessary tools to advance technology
• AI offers opportunities to create dynamic, stimulating educational environments that inspire curiosity, creativity, and critical thinking in students.
• The education technology that uses IA offers opportunities to improve it's quality
• Regulations are needed to respect, protect fundamental rights, and promote a continuous development.

Possibilities and Applications of AI in Education

• AI can be used to help students, teachers, educational centers and administration in integration of IA which is ethical and respondable
• There are three ways learning system of AI occur:
  • teaching for LA; implies the development and the acquisition of skills and relevant competences for the challenges and opportunities that the LA brings with it: data bias, critical thninking.
  • teach on LA; its is an approach more technical that manifests to the understanding and application of knowledges related with this discinpline: program simple solution based on LA
  • teach with IA; this implies the integration of LA in the educative enviroment to potencialize the learning. personalization of management resources and contents

Profile of Learner

• Lack of competence, students don't reach a good level of IA comprehension because of factors like the lack of exclusively dedicated contents.
• Access breach, the digital breach increases because of lack of access to technology and connectivity, making online education participation and using of tools difficult.
• Excessive dependence on AI tools, students becomes dependant on IA to solve problems, it could reduce the capacity of critical thinking. the interaction with teachers and students decreases
• Algorithmic biases in the content, limits the ability to develop in balanced way.
• It is simple to access to app and programs based on creation and generation of content based on IA.

Strategies & Preventive measures

• Encourage autonomy and critical thinking, balancing technology use with activities that promote reflection, critical thinking, problem-solving, and creativity.
• Establish specific protection police in the datas or student, so the privacy, transparency, equity and responsability can be guaranteed
• To do IA inclusionary, developers need to eliminate bias, reflect the diversity, doing audit periodic to help to identify to have an representation for students
• Facilitate systems of devices borrowing and recycling; recycling electronics for those who're in vulnerable situation

Profile of the Learner as Creator

• Students can use the AI in a practical way to acquire basic learning of the same, the students needs to know how the IA works to do their own creations, an example: Clasifier with Machine Learning
• Creation of digital content that use generation tools as generating automatic chatbots
• Analysis to predict using IA tools, the students can use meteorology data to predict the weather in a a zone or analyze opinions on social media

Profile of the Learner as consumer

• Some roles of the learners as consumers are:
  • Personal tutoring programs that adopt the content and methodology teaching according each student needs, this has a efficient and personalized matter, an example is online platform with activities based on level
  • Students can get responses to commonly asked questions, explanations and support to solve problems.
  • Management systems that facilitate the management of activities by adapting of contents, personalize recommendations or automatically.

Profile Of Teachers

• Has the power to create content through videos, questionnaires etc. in a simple format
• The expansion of AI has created needs of modernizing and knowing new paradigms.
• Training scarcity, the rapid evolution of IA can be overwhelming, learning how to use ethical manners requires big efforts
• Negative impact on the perception, the autonomy with IA can turn dangerous that lead to taking pedagogical decisions
• The data from students need to be take professional to guarantee a correct toma of decissions

Strategies & Preventive measure for Teachers

• Formentor the training and continuous capacitation, the teachers need to capacitate IA to face with the challenges, also need to find effective manners to achieve that by sharing ethics methods.
• Guarantee the privacy, the education needs to be professional to assure a effective reading of datas, which need to be interpreted with ethics
• Cumplir with needs proposed need correct datas, consider context. and guarantee that the automated is been analyzed with teacher

Creation of resources

• Teachers can desempeñan un papel to do educational material with IA tools
• automatic for content to generated, the resources cab adapt the styles and facilitate comprehend concepts, can help automatic to do context to students
• Adaptation the contents a different idiomas helping with linguistic aspects

Personalisation of The Learning

• The personalization is pedagogic approach the needs of the student, The AI offer technicians to personnel the learning more effectively
• to do an analysis the student datas, collect procession and analysis of the student with predictives models, the system of teaching
• the students can be recopilar of students datas generated automatic reports and identify the difficult of the student to offer

Ethical use of data

• Integration with respect uses the IA para the wellness avoids damaging to the persons or environment
• To make IA transparent in you's function to understanding why the took some decisions
• Debemos use system in maner equitable and avoid any discriminations
• Robusts in what are system secure protect with external agents
• protect privacy students dates and be responsable with they
• Under human supervision ensuring to take autonomous discission
• Compatible with the humans for the autonomy of the data
• promote the wellness with global solution like the climate change
• Implements tools what can allow to have a guarantee
• Reflection and anticipation a review with ethica impacts and promote the dialog