Artificial Intelligence Implementation In Education Processes
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Artificial Intelligence In Education
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Author : Wayne Holmes
language : en
Publisher:
Release Date : 2019-02-28
Artificial Intelligence In Education written by Wayne Holmes and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-28 with Computers categories.
"The landscape for education has been rapidly changing in the last years: demographic changes affecting the makeup of families, multiple school options available to children, wealth disparities, the global economy demanding new skills from workers, and continued breakthroughs in technology are some of the factors impacting education. Given these changes, how can schools continue to prepare students for the future? In a world where information is readily available online, how can schools continue to be relevant? The emergence of Artificial Intelligence (AI) has exacerbated the need to have these conversations. Its impact on education and the multiple possibilities that it offers are putting pressure on educational leaders to reformulate the school curriculum and the channels to deliver it. The book "Artificial Intelligence in Education, Promises and Implications for Teaching and Learning" by the Center for Curriculum Redesign immerses the reader in a discussion on what to teach students in the era of AI and examines how AI is already demanding much needed updates to the school curriculum, including modernizing its content, focusing on core concepts, and embedding interdisciplinary themes and competencies with the end goal of making learning more enjoyable and useful in students' lives. The second part of the book dives into the history of AI in education, its techniques and applications -including the way AI can help teachers be more effective, and finishes on a reflection about the social aspects of AI. This book is a must-read for educators and policy-makers who want to prepare schools to face the uncertainties of the future and keep them relevant." --Amada Torres, VP, Studies, Insights, and Research, National Association of Independent School (NAIS) "The rapid advances in technology in recent decades have already brought about substantial changes in education, opening up new opportunities to teach and learn anywhere anytime and providing new tools and methods to improve learning outcomes and support innovative teaching and learning.Research into artificial intelligence and machine learning in education goes back to the late 1970s. Artificial intelligence methods were generally employed in two ways: to design and facilitate interactive learning environments that would support learning by doing, and to design and implement tutoring systems by adapting instructions with respect to the students' knowledge state.But this is just the beginning. As Artificial Intelligence in Education shows, AI is increasingly used in education and learning contexts. The collision of three areas - data, computation and education - is set to have far-reaching consequences, raising fundamental questions about the nature of education: what is taught and how it is taught. Artificial Intelligence in Education is an important, if at times disturbing, contribution to the debate on AI and provides a detailed analysis on how it may affect the way teachers and students engage in education. The book describes how artificial intelligence may impact on curriculum design, on the individualisation of learning, and on assessment, offering some tantalising glimpses into the future (the end of exams, your very own lifelong learning companion) while not falling victim to tech-hype. The enormous ethical, technical and pedagogical challenges ahead are spelt out, and there is a real risk that the rapid advances in artificial intelligence products and services will outstrip education systems' capacity to understand, manage and integrate them appropriately. As the book concludes: "We can either leave it to others (the computer scientists, AI engineers and big tech companies) to decide how artificial intelligence in education unfolds, or we can engage in productive dialogue."I commend this book to anyone concerned with the future of education in a digital world." --Marc Durando, Executive Director, European Schoolnet
Artificial Intelligence Implementation In Education Processes
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Author : Dina Darwish
language : en
Publisher: Deep Science Publishing
Release Date : 2025-02-09
Artificial Intelligence Implementation In Education Processes written by Dina Darwish and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-09 with Computers categories.
Currently, numerous issues for enhancing teaching and learning remain unaddressed. Educators pursue technology-driven methods that are secure, efficient, and scalable to meet these aims. Educators naturally question whether the swift technological advancements in daily life could be beneficial. Similar to everyone else, educators utilise AI-driven services in their daily routines, including voice assistants in their residences, tools for grammar correction, sentence completion, and essay writing, as well as automated travel planning applications on their mobile devices. A multitude of educators is currently investigating freshly emerging AI tools. Educators recognise the potential of AI-driven technologies, such as speech recognition, to enhance support for students with disabilities, multilingual learners, and others who could gain from increased adaptability and personalisation in educational digital tools. They are investigating how AI can facilitate the composition or enhancement of lessons, along with their methodology for sourcing, selecting, and modifying materials for instructional usage. Educators are cognisant of emerging threats. Beneficial and potent functionalities may potentially provide novel data privacy and security vulnerabilities. Educators acknowledge that AI can autonomously generate output that is unsuitable or erroneous. They are apprehensive that the associations or automations generated by AI may exacerbate undesirable biases. Although it appeared to have appeared out of nowhere, artificial intelligence (AI) was really created over a period of many years, just like so many other technologies that have had a significant impact on the world. In today's world, artificial intelligence is pervasive and has the potential to revolutionize education. By employing AI, educators are able to personalize learning experiences to meet the specific requirements of each student, so making education more efficient and interesting. In addition, technologies that are enabled by artificial intelligence help with administrative work, which streamlines operations and frees up teachers to concentrate on teaching. Educators and school administrators are currently utilizing tools driven by artificial intelligence, and applications dependent on AI in the field of education. The benefits of AI in education include fostering innovation, condensing current materials, among others. The following section will explore the advantages and disadvantages of AI in educational institutions, emphasising its potential to transform the learning environment. Here is a concise overview of some benefits of using AI in education. - It can be utilised to customise education. AI can assist in customising content to meet the specific needs and learning styles of individual students, utilising AI-driven analytics that provide insights into student performance and learning trends. Thus, AI enhances student engagement and motivation. - It can furnish students with prompt feedback. AI provides students with immediate and comprehensive feedback on their assignments, enabling them to identify their strengths and faults. This feedback improves comprehension and educational results, guiding teachers on future course priorities. - It can be utilised to generate and enhance content. AI-powered platforms enable the creation of lessons, activities, evaluations, discussion prompts, and presentations by inputting a brief prompt including keywords. - It may yield more inclusive instruction. AI possesses robust technologies that provide previously unattainable resources accessible to students with unique needs. Technological tools providing text-to-speech, visual recognition, speech recognition, and additional functionalities can assist educators in modifying resources to ensure equitable learning opportunities for all students. - It can facilitate enhanced access to resources. Educators can utilise numerous AI-driven tools to improve and augment classroom learning. Examples include Canva Magic Write, which assists in brainstorming, outlining, and lesson planning; Curipod, which allows educators to swiftly develop interactive lessons; Eduaide, offering over 100 resource types for the creation of high-quality instructional materials; and Quizzizz, utilised for designing quizzes that generate personalised learning pathways based on individual student responses. - It can enhance the comprehensibility of abstract concepts. Image-generating AI systems like Picsart and Visme can transform intricate concepts into more accessible content. - It can be utilised to manage administrative responsibilities. AI can be utilised to optimise administrative functions including grading, scheduling, parent communication, and student record management. This enables educators to focus on your primary expertise; teaching. It provides increased direct engagement with kids and ensures that no individual is overlooked. - It can cultivate critical thinking. The emergence and increasing application of AI in educational settings prompts discussions about critical thinking and ethical implications. Students exhibit a natural curiosity in AI. The profound talks may aid in their growth and development as thinkers and learners. The Obstacles and Constraints of Artificial Intelligence in Education Despite the numerous benefits that AI presents to educators, learners, and administrators, it also poses certain obstacles and disadvantages. The subsequent list enumerates prevalent concerns that affect educators. - Concerns Regarding Privacy and Security. Privacy hazards have been a worry since the inception of AI. Individuals are apprehensive regarding the collection and utilisation of their personal data, as well as their awareness and control over its application. Numerous individuals express apprehensions over the security of their data storage and its protection against potential breaches. Additional concerns encompass the exposure of private and sensitive information to unauthorised individuals, the propagation of incorrect or misleading information, and the growing accessibility of personal data by others. Generally, dangers are associated with data collecting, data processing, data distribution, and intrusion into an individual's personal space, choices, or actions. - Possible Bias in AI Algorithms. Research indicates considerable bias in GPT (generative pre-trained transformers; e.g., ChatGPT) towards non-native English speakers. One study indicates that more than fifty percent of non-native English writing samples were erroneously categorised as AI-generated, but the classification accuracy for native English speakers was practically flawless. A contributing factor to the issue is that GPT detectors are designed to identify text that is more literary and intricate as being more "human." Consequently, authors who do not employ such terminology are more prone to being classified as utilising AI-generated content and may be unfairly marked for AI plagiarism. Students who do not speak English may be unjustly accused of academic dishonesty, thus jeopardising their educational trajectory and harming their mental well-being. In evaluating non-native English speakers, it is advisable to refrain from utilising GPT detectors as assessment instruments until these detectors undergo a more thorough study. They can be utilised more securely as educational tools, assisting students in enhancing their writing skills. - Decreased Human Engagement. Increasing dependence on AI may diminish teacher-student interactions and connections, so undermining the social-emotional dimensions of learning. If those encounters decline, pupils' social skills and interpersonal development would be adversely affected. Educators must recognise and address the social and emotional needs of their students. Conversely, automating administrative activities like lesson planning, grading, and managing student data should liberate instructors' time, allowing them to cultivate relationships with students and enhance their social and emotional development. This practice has demonstrated numerous advantages, such as improved academic performance and increased college enrolment rates. A recent survey indicated that merely 22 percent of students—an unprecedented low—believe their professors endeavour to comprehend their lives beyond the classroom. Educational institutions can leverage AI to enhance the interactions between educators and learners; but, they must exert deliberate effort to do this. It is a critical aspect to monitor and manage well. - Significant Implementation Expenses. The expense of AI in education might significantly fluctuate based on the intended applications by educational institutions. Basic generative AI systems for lesson preparation can be as inexpensive as $25 per month, whereas more extensive adaptive learning systems may cost tens of thousands of dollars. Implementing these extensive systems is similarly costly and exceeds the resources of numerous schools, particularly those in underprivileged neighbourhoods. Additionally, there are continuous expenses associated with system maintenance, updates, and staff training for effective utilisation. - Scholarly Malfeasance. Cheating and plagiarism are, as noted, primary worries with AI expressed by educators. The utilisation of AI for completing assignments, examinations, or composing papers is inequitable to students who adhere to academic integrity, and it diminishes the educational experience for those who engage in dishonest practices. If students resort to cheating and shortcuts in their education, what type of citizens will they become upon completion of their studies? Protocols must be established to guarantee that AI is not employed unethically. - Uncertainty and Erroneous Data. Artificial intelligence is contingent upon the quality of its underlying algorithms. If the underlying data is flawed or prejudiced, the resultant information will also be flawed or prejudiced. Students must have the ability to assess and critically analyse the material they encounter rather than merely accepting it at face value. A plethora of instructional resources is available online to assist them in their endeavour. Generative AI provides educators, learners, and administrators with potent tools that can be effectively utilised in the educational sector. Comprehending the advantages and disadvantages of artificial intelligence in education is essential for the proper utilisation of these tools. Investigating the impact of AI on education, both advantageous and detrimental, assists administrators in formulating policies that improve student learning while mitigating possible disadvantages. It can optimise administrative duties, allowing teachers to allocate more time to foster relationships and enhance students' social and emotional skills, customise learning experiences based on individual needs and learning styles, and enhance accessibility for students with disabilities. It assists researchers in gathering and analysing data to improve curriculum efficacy and identify areas for enhancement, while providing a diverse array of educational tools and platforms for students and educators alike. However, it also has its drawbacks. Issues regarding AI in education encompass privacy and security concerns, algorithmic bias that may influence educational results, the risk of excessive dependence on technology detracting from teacher-student interactions, and the financial implications of deploying and sustaining AI technologies in educational institutions. Moreover, technology may be employed unethically in the absence of robust protections and monitoring systems, and its information is only as comprehensive and precisely representative as its algorithms permit. Educators and administrators must evaluate the advantages and disadvantages of AI in education as they consider its application for themselves and their pupils. By evaluating the advantages and disadvantages of AI in the classroom, educators can guarantee that AI's incorporation facilitates significant learning experiences. This book gives a solid foundation on using AI in education for people interested in knowing more information about this topic, and discusses several topics related to using AI in education.
Applications Of Machine Learning And Artificial Intelligence In Education
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Author : Seda Khadimally
language : en
Publisher: Information Science Reference
Release Date : 2021
Applications Of Machine Learning And Artificial Intelligence In Education written by Seda Khadimally and has been published by Information Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Artificial intelligence categories.
Focuses on the parameters of remote learning, machine learning, deep learning, and artificial intelligence under 21st-century learning and instructional contexts. Topics covered include data coding and social networking technology.
Ai And Education
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Author : Miao, Fengchun
language : en
Publisher: UNESCO Publishing
Release Date : 2021-04-08
Ai And Education written by Miao, Fengchun and has been published by UNESCO Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-08 with Political Science categories.
Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]
Artificial Intelligence Applications In Distance Education
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Author : Kose, Utku
language : en
Publisher: IGI Global
Release Date : 2014-07-31
Artificial Intelligence Applications In Distance Education written by Kose, Utku and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-31 with Education categories.
"This book seeks to examine the efforts made to bridge the gap between student and educator with computer applications through an in-depth discussion of applications employed to overcome the problems encountered during educational processes"--Provided by publisher.
Artificial Intelligence In Society
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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2019-06-11
Artificial Intelligence In Society written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-11 with categories.
The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.
Oecd Digital Education Outlook 2021 Pushing The Frontiers With Artificial Intelligence Blockchain And Robots
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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2021-06-08
Oecd Digital Education Outlook 2021 Pushing The Frontiers With Artificial Intelligence Blockchain And Robots written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-08 with categories.
How might digital technology and notably smart technologies based on artificial intelligence (AI), learning analytics, robotics, and others transform education? This book explores such question. It focuses on how smart technologies currently change education in the classroom and the management of educational organisations and systems.
Understanding The Impact Of Artificial Intelligence On Skills Development
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Author : UNESCO International Centre for Technical and Vocational Education and Training
language : en
Publisher: UNESCO Publishing
Release Date : 2021-04-02
Understanding The Impact Of Artificial Intelligence On Skills Development written by UNESCO International Centre for Technical and Vocational Education and Training and has been published by UNESCO Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-02 with Political Science categories.
Navigating Barriers To Ai Implementation In The Classroom
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Author : Sarwar, Uzma
language : en
Publisher: IGI Global
Release Date : 2025-06-04
Navigating Barriers To Ai Implementation In The Classroom written by Sarwar, Uzma and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-04 with Education categories.
As artificial intelligence (AI) technologies advance, their potential to transform education is promising. From personalized learning to intelligent tutoring systems, AI offers tools that enhance student engagement and streamline administrative tasks. However, implementing AI in the classroom comes with challenges. Educators, administrators, and policymakers must navigate barriers, including limited technical infrastructure, data privacy concerns, lack of teacher training, and equity access across schools. Understanding and addressing these obstacles ensures that AI enhances educational equity rather than increasing existing divides. Further exploration may reveal key challenges and identify strategies for integrating AI into classroom practice. Navigating Barriers to AI Implementation in the Classroom investigates the ways in which AI alters education by streamlining administrative tasks, introducing new individualized learning opportunities, and transforming instructional strategies. It examines the capabilities of AI in education, including intelligent instruction, automated assessments, data-driven insights, adaptive learning systems, and ethical issues related to its employment in classrooms. This book covers topics such as classroom management, policymaking, and student engagement, and is a useful resource for educators, computer engineers, policymakers, academicians, researchers, and scientists.
Artificial Intelligence For Education
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Author : Mario Allegra
language : en
Publisher: Frontiers Media SA
Release Date : 2023-11-27
Artificial Intelligence For Education written by Mario Allegra and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-27 with Education categories.
What learning, teaching, and education will be in the next future is an open question. Nevertheless, believing that an increasing prevalence of AI may not influence the education field seems objectively unlikely. In recent years, the new renaissance of AI has stimulated discussion on how advances in AI can influence the educational sector and the future educational policies and the impact of AI on Technology-Enhanced Learning (TEL). On the other side, the attention of the education sector in artificial intelligence is complemented by the consideration that, since the early days of AI, researchers have shown for the education sector, which has often seen education as one of the preferred application areas. The interaction between the AI and TEL research fields led to the investigation of how the advance in AI could support the development of flexible, inclusive, personalized, engaging, and effective learning tools. Besides, research in this area could be a powerful tool to open the "learning black box" by providing a deeper understanding of how learning occurs. The proposed Research Topic aims to gather contributions that provide a comprehensive picture of how AI is changing educational practices and how the key stakeholders in the educational community (i.e., students, teachers, faculty, and families) perceive this ongoing change. Relevant topics include (but are not limited to): ● AI applications in real-world educational settings ● Intelligent Tutoring Systems ● Adaptive learning environments ● Learning design and AI ● Students profiling: definition of the student model and ethical implications ● Intelligent techniques for objective and integrated students evaluation in TEL ● Teachers' competencies for effective integration of AI into Education ● Teachers’ perceptions of AI: prejudices and attitudes ● The role of cognitive architectures in Education ● Serious games and AI ● Social robotics in Education