Harnessing the Power of AI to Create Intelligent Tutoring Systems for Enhanced Classroom Experience and Improved Learning Outcomes

Alam, Ashraf

doi:10.1007/978-981-99-1767-9_42

Cited by 43 publications

(2 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The incorporation of AI in science education can redefine how educators evaluate and support student learning, thereby enhancing the effectiveness and engagement of education for all learners (Li et al, 2023). AI-driven tutoring systems are becoming more popular and are one of the most promising uses of artificial intelligence in education (Alam, 2023). These systems make use of machine learning algorithms to analyse the data of individual students and provide them with individualised feedback and direction in order to improve the outcomes of their learning initiatives.…”

Section: Applications Of Ai In Science Teachingmentioning

confidence: 99%

Integration of Artificial Intelligence in Science Teaching in Primary Education: Applications for Teachers

Kotsis

2024

EJCEEL

View full text Add to dashboard Cite

The purpose of this study is to serve as the central notion that the whole research endeavour revolves around. It provides a framework for examining the potential applications of artificial intelligence (AI) for teachers operating in the field of scientific education. A clear framework for an in-depth analysis that tries to shed light on the opportunities and challenges associated with the use of AI technology in primary scientific education is provided by this thesis statement, which specifies the purpose of the research as well as the scope of the investigation. The project's objective is to broaden the existing body of knowledge and provide insights into the ways in which educators might make use of technologies that are powered by AI to enhance the instructional techniques they use and the outcomes of student learning. In order to do this, a well-prepared thesis statement will ideally be used.

show abstract

Section: Applications Of Ai In Science Teachingmentioning

confidence: 99%

Integration of Artificial Intelligence in Science Teaching in Primary Education: Applications for Teachers

Kotsis

2024

EJCEEL

View full text Add to dashboard Cite

show abstract

“…These rapidly evolving technologies have greatly enriched the teaching and learning experience, offering invaluable support to students and faculty alike and streamlining educational processes [4,5]. Ranging from personalized learning modules and intelligent tutoring systems to automated grading techniques [6][7][8][9], these AI-driven tools play a pivotal role in enhancing student success, notably through early recognition systems. Due to this rapid adoption, there is increased need to establish best practices, as Miao et al [10] have emphasized for teaching and learning with AI and ML.…”

Section: Introductionmentioning

confidence: 99%

Navigating the ethical terrain of AI in higher education: Strategies for mitigating bias and promoting fairness

Barnes,

Hutson

2024

Forum Edu. Stud.

View full text Add to dashboard Cite

Artificial intelligence (AI) and machine learning (ML) are transforming higher education by enhancing personalized learning and academic support, yet they pose significant ethical challenges, particularly in terms of inherent biases. This review critically examines the integration of AI in higher education, underscoring the dual aspects of its potential to innovate educational paradigms and the essential need to address ethical implications to avoid perpetuating existing inequalities. The researchers employed a methodological approach that analyzed case studies and literature as primary data collection methods, focusing on strategies to mitigate biases through technical solutions, diverse datasets, and strict adherence to ethical guidelines. Their findings indicate that establishing an ethical AI environment in higher education is imperative and involves comprehensive efforts across policy regulation, governance, and education. The study emphasizes the significance of interdisciplinary collaboration in addressing the complexities of AI bias, highlighting how policy, regulation, governance, and education play pivotal roles in creating an ethical AI framework. Ultimately, the paper advocates for continuous vigilance and proactive strategies to ensure that AI contributes positively to educational settings, stressing the need for robust frameworks that integrate ethical considerations throughout the lifecycle of AI systems to ensure their responsible and equitable use.

show abstract

Integrating augmented reality into intelligent tutoring systems to enhance science education outcomes

Ateş

2024

Educ Inf Technol

View full text Add to dashboard Cite

Harnessing the Power of AI to Create Intelligent Tutoring Systems for Enhanced Classroom Experience and Improved Learning Outcomes

Cited by 43 publications

References 34 publications

Integration of Artificial Intelligence in Science Teaching in Primary Education: Applications for Teachers

Integration of Artificial Intelligence in Science Teaching in Primary Education: Applications for Teachers

Navigating the ethical terrain of AI in higher education: Strategies for mitigating bias and promoting fairness

Integrating augmented reality into intelligent tutoring systems to enhance science education outcomes

Contact Info

Product

Resources

About