Exploring Teachers' Perception of Artificial Intelligence: The Socio-emotional Deficiency as Opportunities and Challenges in Human-AI Complementarity in K-12 Education
- URL: http://arxiv.org/abs/2405.13065v1
- Date: Mon, 20 May 2024 15:43:04 GMT
- Title: Exploring Teachers' Perception of Artificial Intelligence: The Socio-emotional Deficiency as Opportunities and Challenges in Human-AI Complementarity in K-12 Education
- Authors: Soon-young Oh, Yongsu Ahn,
- Abstract summary: In schools, teachers play a multitude of roles, serving as educators, counselors, decision-makers, and members of the school community.
With recent advances in artificial intelligence (AI), there is increasing discussion about how AI can assist, complement, and collaborate with teachers.
Our study seeks educators' perspectives on the potential strengths and limitations of AI across a spectrum of responsibilities.
- Score: 1.9797215742507548
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: In schools, teachers play a multitude of roles, serving as educators, counselors, decision-makers, and members of the school community. With recent advances in artificial intelligence (AI), there is increasing discussion about how AI can assist, complement, and collaborate with teachers. To pave the way for better teacher-AI complementary relationships in schools, our study aims to expand the discourse on teacher-AI complementarity by seeking educators' perspectives on the potential strengths and limitations of AI across a spectrum of responsibilities. Through a mixed method using a survey with 100 elementary school teachers in South Korea and in-depth interviews with 12 teachers, our findings indicate that teachers anticipate AI's potential to complement human teachers by automating administrative tasks and enhancing personalized learning through advanced intelligence. Interestingly, the deficit of AI's socio-emotional capabilities has been perceived as both challenges and opportunities. Overall, our study demonstrates the nuanced perception of teachers and different levels of expectations over their roles, challenging the need for decisions about AI adoption tailored to educators' preferences and concerns.
Related papers
- Navigating the Future of Education: Educators' Insights on AI Integration and Challenges in Greece, Hungary, Latvia, Ireland and Armenia [1.7205106391379026]
This paper aims to explore how teachers currently use AI and how it can enhance the educational process.
We conducted a cross-national study spanning Greece, Hungary, Latvia, Ireland, and Armenia, surveying 1754 educators.
arXiv Detail & Related papers (2024-08-28T10:22:05Z) - Teacher agency in the age of generative AI: towards a framework of hybrid intelligence for learning design [0.0]
Generative AI (genAI) is being used in education for different purposes.
From the teachers' perspective, genAI can support activities such as learning design.
However, GenAI has the potential to negatively affect professional agency due to teachers' limited power.
arXiv Detail & Related papers (2024-07-09T08:28:05Z) - The AI Revolution in Education: Will AI Replace or Assist Teachers in
Higher Education? [0.0]
The study provides a comprehensive perspective on the future role of educators in the face of AI technologies.
Participants argue that human teachers possess unique qualities, such as critical thinking, creativity, and emotions, which make them irreplaceable.
The research proposes that teachers can effectively integrate AI to enhance teaching and learning without viewing it as a replacement.
arXiv Detail & Related papers (2023-05-02T03:39:34Z) - An Experience Report of Executive-Level Artificial Intelligence
Education in the United Arab Emirates [53.04281982845422]
We present an experience report of teaching an AI course to business executives in the United Arab Emirates (UAE)
Rather than focusing only on theoretical and technical aspects, we developed a course that teaches AI with a view to enabling students to understand how to incorporate it into existing business processes.
arXiv Detail & Related papers (2022-02-02T20:59:53Z) - Building Bridges: Generative Artworks to Explore AI Ethics [56.058588908294446]
In recent years, there has been an increased emphasis on understanding and mitigating adverse impacts of artificial intelligence (AI) technologies on society.
A significant challenge in the design of ethical AI systems is that there are multiple stakeholders in the AI pipeline, each with their own set of constraints and interests.
This position paper outlines some potential ways in which generative artworks can play this role by serving as accessible and powerful educational tools.
arXiv Detail & Related papers (2021-06-25T22:31:55Z) - Designing for human-AI complementarity in K-12 education [2.741266294612776]
We present the iterative design and evaluation of Lumilo, smart glasses that help teachers help their students in AI-supported classrooms.
Results from a field study conducted in K-12 classrooms indicate that students learn more when teachers and AI tutors work together.
arXiv Detail & Related papers (2021-04-02T22:38:50Z) - Personalized Education in the AI Era: What to Expect Next? [76.37000521334585]
The objective of personalized learning is to design an effective knowledge acquisition track that matches the learner's strengths and bypasses her weaknesses to meet her desired goal.
In recent years, the boost of artificial intelligence (AI) and machine learning (ML) has unfolded novel perspectives to enhance personalized education.
arXiv Detail & Related papers (2021-01-19T12:23:32Z) - Creation and Evaluation of a Pre-tertiary Artificial Intelligence (AI)
Curriculum [58.86139968005518]
The Chinese University of Hong Kong (CUHK)-Jockey Club AI for the Future Project (AI4Future) co-created an AI curriculum for pre-tertiary education.
A team of 14 professors with expertise in engineering and education collaborated with 17 principals and teachers from 6 secondary schools to co-create the curriculum.
The co-creation process generated a variety of resources which enhanced the teachers knowledge in AI, as well as fostered teachers autonomy in bringing the subject matter into their classrooms.
arXiv Detail & Related papers (2021-01-19T11:26:19Z) - Engaging Teachers to Co-Design Integrated AI Curriculum for K-12
Classrooms [11.726528038065764]
We organized co-design workshops with 15 K-12 teachers to identify opportunities to integrate AI education into core curriculum.
We found that K-12 teachers need additional scaffolding in the curriculum to facilitate ethics and data discussions.
We present an exemplar lesson plan that shows entry points for teaching AI in non-computing subjects.
arXiv Detail & Related papers (2020-09-22T00:56:41Z) - Distributed and Democratized Learning: Philosophy and Research
Challenges [80.39805582015133]
We propose a novel design philosophy called democratized learning (Dem-AI)
Inspired by the societal groups of humans, the specialized groups of learning agents in the proposed Dem-AI system are self-organized in a hierarchical structure to collectively perform learning tasks more efficiently.
We present a reference design as a guideline to realize future Dem-AI systems, inspired by various interdisciplinary fields.
arXiv Detail & Related papers (2020-03-18T08:45:10Z) - Explainable Active Learning (XAL): An Empirical Study of How Local
Explanations Impact Annotator Experience [76.9910678786031]
We propose a novel paradigm of explainable active learning (XAL), by introducing techniques from the recently surging field of explainable AI (XAI) into an Active Learning setting.
Our study shows benefits of AI explanation as interfaces for machine teaching--supporting trust calibration and enabling rich forms of teaching feedback, and potential drawbacks--anchoring effect with the model judgment and cognitive workload.
arXiv Detail & Related papers (2020-01-24T22:52:18Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.