Education, Technology and Sustainability

By Jarrar Ahamad, Abdul Jabbar and Mohd Gufran Barkati

The book Education, Technology, and Sustainability, brings together interdisciplinary perspectives across education, technology, and law, with a focus on sustainability. This comprehensive volume highlights education not merely as knowledge acquisition but as a catal

• Language: English
• Publisher: BlueRose Publishers
• Release date: Dec 6, 2024
• ISBN: 9789367839423

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Influence of AI Technology in Education: Learning, Instruction, and Administrative Support

Itu Chowdhury Gupta *

Assistant Professor & HoD of Soft Skills

Department of Faculty of Liberal Arts

ICFAI University Tripura, Agartala, Tripura, India

Soumya Mazumdar **

Student

Department of CSBS

Gargi Memorial Institute of Technology,

Kolkata, West Bengal, India

Abstract: Education is not an exception; artificial intelligence (AI) has become a formidable instrument with the ability to transform many industries. It looks at how artificial intelligence has changed management, education, teaching, and learning settings. AI enhances the efficiency and efficacy of educational activities by means of intelligent technologies, tailored learning possibilities, and sophisticated data analysis. With an eye on management, administration, and teaching especially, this paper examines how artificial intelligence (AI) is changing education. AI has transformed these disciplines by offering customized learning opportunities, accelerating administrative tasks, and increasing the involvement of student. The report also points the challenges like bias, infrastructure limitations, ethical questions, and the requirement of professional development. These issues might be fixed so that artificial intelligence is suitably included into education, therefore improving its efficiency and efficacy. The results confirm evidence-based decision-making in educational management as well as to promote the creation of AI-driven teaching technologies and approaches.

Keywords: AI in Administration, AI in Education, AI in Learning, Artificial Intelligence, Challenges in AI Integration, Ethical Considerations, Personalized Learning, Technology in Education

Introduction

The innovation of Henry Ford is a great illustration of the significance of embracing originality and creativity in progress. Through his design of automobiles, he revolutionized transportation, conversely, his ingenuity and invention have generated significant technical advancements—especially in the area of education. Heartfelt gratitude to the technology where plagiarism is easier to detect, the introduction of personal computers and microcomputers in the 1970s drastically changed fields like education (Flamm, 2016). Campbell-Kelly emphasizes how personal computers help to open technology to a larger audience and encourage the usage in various fields, including education (Campbell-Kelly et al., 2018), (Cairns & Malloch, 2017), (Timms, 2016). Modern education mostly depends on computer-aided instruction and learning (CAI/L), made possible by technological developments like the internet and World Wide Web, which investigates intelligent behavior in computers (Ben Coppin, 2004). Artificial intelligence (AI) improves content creation, administrative efficiency and customized learning experiences, therefore playing a vital role in education. It offers emphatic guidance, customizes experiences, and helps to pinpoint the difficulties of students. AI also helps the educators to design the tasks, therefore, saving time to teach and to interact with the student. The interactive learning system is driven by artificial intelligence which fosters the skill for improvement and involvement. This paper seeks to evaluate with an eye on ethical concerns, data privacy, algorithmic bias, infrastructure limitations and AI’s impact on education. It is willing to arrest the kind notice of the readers with an aim to provide direction on appropriate use of artificial intelligence in management, administration, education and learning. In addition, it also aims to encourage the development of approaches and policies enhancing AI integration in education and therefore supports the growth of research corpus.

Fig.1. Investment Trends in Billion USD for AI Startups from 2014 to 2023 (Statista, 2023), (Thormundsson, 2024)

Literature Review

Methodology

This research investigates the effect of artificial intelligence (AI) on several elements of education, including teaching, learning, administration, and management. It intends to add to the expanding corpus of research on AI’s effect on education via embedded computers, sensors, and other technologies. The study seeks to provide ideas for instructional tools and AI-driven strategy development. AI systems may boost learning by delivering individualized experiences, student issue diagnosis, and targeted help. They also assist teachers to develop assignments, to free up time for teaching and also in the interaction with the students. It promotes student engagement via interactive settings, real-time feedback and critical thinking. The outcome will assist in the development of acceptable AI applications in education.

AI in Education

Artificial intelligence (AI) has the potential to drastically impact several parts of life, notably in the education sector. The integration of AI in education and administration has substantially altered students’ educational experiences. Research shows that AI’s usage in education may overcome physical restrictions as learning materials are increasingly stored on the Internet and the World Wide Web. AI elements, such as language translation tools, give individualized learning possibilities based on pupils’ specific talents. Online and web-based learning systems enable international access to educational content. AI boosts the efficiency and efficacy of administration, teaching, and learning activities. Additional research suggests that AI serves goals in education beyond its fundamental computer application. Pokrivcakova presents a detailed review of AI and its applications in education, claiming that AI has more promise than we presently know.

AI in Administration

Artificial intelligence (AI) has drastically revolutionized the way administrative and management activities are conducted in education. It has allowed instructors to mark and offer comments, boosting their ability for administrative chores. AI-driven solutions like AIWB assist analyze student work and deliver comments more simply. Systems like Knewton incorporate performance assessment, grading, and feedback for continual learning advancement. AI has decreased administrative work and enhanced classroom effectiveness and teacher productivity. Intelligent tutoring systems aid instructors with grading and feedback providing. Programs like Grammarly, Ecree, PaperRater, Duplichecker, and Turnitin employ AI to ease plagiarism detection, grading, and feedback. This has allowed instructors to concentrate on teaching and providing curriculum-aligned resources. The quality and efficiency of administrative operations and instructors’ performance have improved.

AI in Learning

This study also looks at how much artificial intelligence impacts students’ learning environments. By including students in conversations with agents that probe their knowledge until they can fully express their thoughts, intelligent teaching systems (ITS) improve content retention and facilitate deep learning, claims Rus et al. (Rus et al., 2013). The paper and accompanying materials highlight the many advantages artificial intelligence offers for the learning process (Sharma et al., 2019), (Pokrivcakova, 2019), (UNESCO: Building Peace Through Education, Science and Culture, Communication and Information, n.d.).

Artificial intelligence enables monitoring learning progress and adjusting curriculum to fit individual student requirements and skills. This tweak enhances retention and absorption, as pupils utilize their talents better. AI streamlines the design and application of intelligent learning techniques, offering customizable material adapted to each student’s requirements. Intelligent virtual reality and simulation-based education boost learning outcomes.

Effects of AI on Education [RQ1]

Artificial intelligence (AI) has revolutionized the efficiency and effectiveness of education, therefore affecting instruction greatly. Intelligent coaching systems (ITS), which provide tailored, unique learning experiences (Roll & Wylie, 2016), are one significant artificial intelligence tool addressing the challenges of one-on-one coaching. Unlike more general CAL and CBT, ITS enhances teaching quality by customizing material to the student’s particular needs (Phobun & Vicheanpanya, 2010). Promoting academic integrity as well depends on artificial intelligence. Programs like Grammarly, TurnItIn, and White Smoke support academic integrity by tracking students’ online behavior and plagiarism detection, therefore deterring academic dishonesty (Surjandy et al., 2018), (Sutton, 2019), (Crowe et al., 2017). Moreover, by integrating 3-D and virtual reality (VR) into gamification, AI-driven gamification enhances training quality by means of a more dynamic and interesting learning environment. Studies on how simulation and team viewer applications could inspire students by giving them real-world experience and exposure (Murphy, 2019), (Lee & Hammer, 2011) illustrate how motivated and involved they might become. Another innovative artificial intelligence tool for teaching are intelligent conversational robots with emotive humanoid features. These robots more effectively engage pupils because of their more human-like appearance and improved interpersonal abilities, therefore raising the quality of education (Le et al., 2013), (Saerbeck et al., 2010), (Belpaeme et al., 2018), (Chang et al., 2009), (Serholt et al., 2014), (Jones & Castellano, 2018). AI also helps instructors with administrative tasks so they may focus more on their lesson. Analyzing course materials and syllabi to recommend individualized content, design and grade tests, and provide feedback helps artificial intelligence systems to reduce the work of instructors (Chassignol et al., 2018b). AI solutions may also assess student performance to help instructors create customized lesson plans considering the particular needs and talents of every student. This tailored approach guarantees impartiality and fairness while reducing human prejudices in evaluation and grading as artificial intelligence judges assignments based on preset criteria and rubrics (Global Development of AI-based Education, n.d.). By spotting and fixing early on learning shortcomings of pupils, artificial intelligence also enhances education. Often treating every student equally, conventional teaching strategies may not provide the optimal results for every student. On the other hand, by determining the best teaching approach for every student depending on their personality, strengths, and complementing abilities, artificial intelligence might increase general teaching effectiveness and student outcomes (Global Development of AI-based Education, n.d.). Apart from raising students’ knowledge, this customized approach helps them to be more creative, capable in addressing problems, and develop better learning practices. Furthermore, influencing career counseling is artificial intelligence. Through student study data analysis, artificial intelligence systems may project future job paths. This guarantees that they acquire abilities that would be valuable in their future profession and lets them match university course options to their career preferences. This concentrated learning helps students improve their grades and prepare them for challenges in the real world. By means of tailored digital learning interfaces that can be utilized by students of different grade levels and durations, AI is also able to provide specific feedback and coaching based on each student’s need (Chassignol et al., 2018b), (Estevez et al., 2019), (Rus et al., 2013b). Since advanced tutoring solutions like Carnegie Learning use student-specific data to provide customized assistance, artificial intelligence is a valuable teaching tool. All told, artificial intelligence has transformed the area of education by raising the caliber of teaching, maintaining academic integrity, lightening administrative tasks, and providing tailored learning environments. Its ongoing development might greatly change education to benefit learners as well as instructors.

Difficulties with Using AI in Education [RQ2]

The effective and fair adoption of AI integration in education involves the resolution of various problems. The paper from the UNESCO (Francesc et al., 2020) enumerates potential barriers to integrating AI into education. The following table provides an overview of them.

Ethical and Responsibly Aspects of AI in Education [RQ3]

• Data Security and Privacy: The integration of AI in education involves the ethical preservation of student data, especially sensitive information like behavioral patterns and academic accomplishment, since enormous amounts of data are necessary for AI systems (Regan & Jesse, 2018), (Remian, 2019), (Stahl & Wright, 2018).

• Data Collection and approval: Educational institutions must get clear permission from students and their guardians before collecting any data. It is vital to properly define the data kinds, use, and access permissions. Consent requests are designed to preserve privacy, but many people provide them without recognizing the quantity of information they are revealing, violating their rights to privacy and human agency (Remian, 2019), (Seldon et al., 2020).

• Data Storage and Encryption: To safeguard data both during transmission and storage, strong encryption techniques should be used. Data security may be ensured by regular security audits and protocol changes, which help avert any breaches (Stahl & Wright, 2018), (Murphy, 2019b).

• Anonymization and Minimization: To safeguard individual identities, data should be anonymized wherever feasible. Additionally, organizations should follow the data reduction concept, gathering just the information required for the AI system to operate efficiently (Miller et al., 2016).

• Taking Care of Algorithmic Bias: In educational settings where equality and justice are crucial, algorithmic bias in AI systems may provide unjust and discriminating results. To guarantee that all students are treated fairly, AI systems should undergo regular testing for biases, analysis of results for various demographic groups, and algorithmic adjustments (Krutka et al., 2019).

• Bias Detection and Mitigation: Regular checks for biases in AI systems should be implemented by developers and educators. To guarantee that all students are treated fairly, this entails examining results for various demographic groups and making modifications (Miller et al., 2016).

• Diverse Data Sets: AI systems should be trained on representative and diverse data sets that reflect the wide range of experiences and backgrounds of the student body in order to minimize prejudice. This contributes to the establishment of a more equal learning environment (Krutka et al., 2019b).

• Inclusive Design: Inclusive design strategies guarantee that AI technologies are adapted to fit the unique requirements of all learners, therefore decreasing possible biases and supporting more equitable solutions in the creation and usage of AI systems (Johnson, 2020).

• Ensuring Accountability and Transparency: In order to preserve confidence and guarantee appropriate usage in educational settings, AI systems must be transparent and accountable. In order to assist educators and students comprehend how choices are made, AI systems should explain their judgments and suggestions in a clear and intelligible manner (Bulger, 2016).

• Explainability of AI Decisions: AI systems need to be built with the ability to provide concise, intelligible justifications for the choices and suggestions they make. This makes the technology more dependable and intelligible and helps to build confidence between teachers and students (Bulger, 2016).

• Stakeholder Participation: Engaging with educators, learners, and parents regarding AI usage in education may give vital insights and guarantee solutions fit the requirements of the educational community, as user expectations are incorporated throughout the design and implementation process (Regan & Jesse, 2018).

• Mechanisms for Accountability: To maintain ethical standards in AI technology usage, it is necessary to develop specific accountability frameworks, build mechanisms for assessing and modifying AI-made judgments, and