Ethical principles for artificial intelligence in education

Nguyen, Andy; Ngo, Ha Ngan; Hong, Yvonne; Dang, Belle; Nguyen, Bich-Phuong Thi

doi:10.1007/s10639-022-11316-w

Cited by 294 publications

(114 citation statements)

References 60 publications

Supporting

Mentioning

101

Contrasting

Unclassified

Order By: Relevance

“…This may involve customizing instructional approaches and support systems to accommodate the diverse use patterns observed across distinct age cohorts and academic disciplines. Additionally, the results underscore the need to acknowledge that AI is not universally applicable but fulfills distinct objectives for individual students (Nguyen et al, 2022). However, it is essential to recognize the limitations of the study.…”

Section: Integration Of Findingsmentioning

confidence: 88%

Converging perspectives: Assessing AI readiness and utilization in Philippine higher education

Bobby L. Asirit,

H. Hua

2023

PGSRT

View full text Add to dashboard Cite

In rapidly evolving landscape of technology, the integration of artificial intelligence (AI) has become prevalent, reshaping various facets of students’ lives. This study delved into the uncharted territory of AI awareness, utilization, and perceptions among college students. The study used a convergent parallel mixed-methods design, integrating quantitative survey data with qualitative responses in order to get insights on the impact of AI in education and society. The survey found that college students familiarity on AI depends on age, academic year, and field of study. This emphasizes the need for targeted AI education to overcome knowledge inequalities, particularly among younger cohorts and in fields with little AI expertise. AI usage is usually modest for academic and personal purposes, while insights includes its uses in academic research, job administration, and language translation. The varied application of AI requires institutions to adapt their procedures, and societal impacts which are largely seen positively. This optimism is tempered by concerns about job loss, data privacy breach, technological overuse, and human decision-making. Thus, comprehensive AI education programs are needed to address and traverse these varied opinions. The results emphasized the necessity for institutions and policymakers to be proactive when artificial intelligence is transforming many companies and social systems. Students must learn AI literacy, combining knowledge and practical application, to navigate the AI-driven environment's complexity and opportunities. The endeavor requires teaching technical skills and a deep grasp of AI's social and ethical implications. Institutions can prepare students for a future where artificial intelligence is becoming more important by understanding these effects and tailoring teaching.

show abstract

Section: Integration Of Findingsmentioning

confidence: 88%

Converging perspectives: Assessing AI readiness and utilization in Philippine higher education

Bobby L. Asirit,

H. Hua

2023

PGSRT

View full text Add to dashboard Cite

show abstract

“…It is essential to have ethical rules in place for the use of AI in schools to safeguard children's privacy and safety (Nguyen et al, 2023). When using AI technology in educational environments, it is crucial to consider aspects like openness, accountability, justice, and data security.…”

Section: Ethical Considerations In Implementing Artificial Intelligencementioning

confidence: 99%

Artificial Intelligence Helps Primary School Teachers to Plan and Execute Physics Classroom Experiments

Kotsis

2024

JETM

View full text Add to dashboard Cite

The research claims that artificial intelligence technologies can help and direct primary school teachers in organising classroom experiments for physics instruction. Educators now have the potential to construct experimental projects that are entertaining and efficient, all while catering to their students’ many learning styles and capabilities. This is made possible by the availability of artificial intelligence technologies. The incorporation of artificial intelligence into educational settings may result in an improvement in the overall quality of teaching as well as an improvement in the scientific performance of students. The chance to improve the learning experience for both students and teachers is available to educators who do an in-depth study on artificial intelligence-driven teaching solutions. The research highlights how artificial intelligence can transform teaching approaches in elementary school, notably in the field of physics education within the context of primary school settings.

show abstract

“…Empirical evidence from Chen (2022) and Järvelä et al (2015) supports this, showing improved student engagement and well-being. However, ethical challenges related to data privacy (Nguyen et al , 2023; Slade and Prinsloo, 2013) and measure accuracy (Ifenthaler and Widanapathirana, 2014) should be carefully considered in future implementations. Accordingly, DP5 was conceptualized to address the ethics and privacy aspects of SRLA as follows:…”

Section: Conceptualization Of Design Principles For Self-regulated Le...mentioning

confidence: 99%

Lifelong learner needs for human-centered self-regulated learning analytics

Nguyen,

Lämsä,

Dwiarie

et al. 2023

ILS

Self Cite

View full text Add to dashboard Cite

Purpose Self-regulated learning (SRL) is crucial for successful learning and lifelong learning in today’s rapidly changing world, yet research has shown that many learners need support for SRL. Recently, learning analytics has offered exciting opportunities for better understanding and supporting SRL. However, substantial endeavors are still needed not only to detect learners’ SRL processes but also to incorporate human values, individual needs and goals into the design and development of self-regulated learning analytics (SRLA). This paper aims to examine the challenges that lifelong learners faced in SRL, their needs and desirable features for SRLA. Design/methodology/approach This study triangulated data collected from three groups of educational stakeholders: focus group discussions with lifelong learners (n = 27); five teacher interviews and four expert evaluations. The groups of two or three learners discussed perceived challenges, support needs and willing-to-share data contextualized in each phase of SRL. Findings Lifelong learners in professional development programs face challenges in managing their learning time and motivation, and support for time management and motivation can improve their SRL. This paper proposed and evaluated a set of design principles for SRLA. Originality/value This paper presents a novel approach for theory-driven participatory design with multistakeholders that involves integrating learners, teachers and experts’ perspectives for designing SRLA. The results of the study will answer the questions of how learners’ voices can be integrated into the design process of SRLA and offer a set the design principles for the future development of SRLA.

show abstract

Ethical principles for artificial intelligence in education

Cited by 294 publications

References 60 publications

Converging perspectives: Assessing AI readiness and utilization in Philippine higher education

Converging perspectives: Assessing AI readiness and utilization in Philippine higher education

Artificial Intelligence Helps Primary School Teachers to Plan and Execute Physics Classroom Experiments

Lifelong learner needs for human-centered self-regulated learning analytics

Contact Info

Product

Resources

About