Explainable artificial intelligence for education and training

The Journal of Defense Modeling and Simulation Applications Methodology Technology, Journal Year: 2021, Volume and Issue: 19(2), P. 133 - 144

Published: July 12, 2021

Researchers and software users benefit from the rapid growth of artificial intelligence (AI) to an unprecedented extent in various domains where automated intelligent action is required. However, as they continue engage with AI, also begin understand limitations risks associated ceding control decision-making not always transparent computer agents. Understanding “what happening black box” becomes feasible explainable AI (XAI) methods designed mitigate these introduce trust into human-AI interactions. Our study reviews essential capabilities, limitations, desiderata XAI tools developed over recent years history education (AIED). We present different approaches viewpoint researchers focused on AIED comparison machine learning (ML). conclude that both groups interest desire increased efforts obtain improved tools; however, formulate target user expectations regarding features provide examples possible achievements. summarize viewpoints guidelines for scientists looking incorporate their own work.

Language: Английский

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Evaluating Artificial Intelligence in Education for Next Generation

Journal of Physics Conference Series, Journal Year: 2021, Volume and Issue: 1714(1), P. 012039 - 012039

Published: Jan. 1, 2021

Abstract The use of Artificial Intelligence (AI) is now observed in almost all areas our lives. intelligence a thriving technology to transform aspects social interaction. In education, AI will develop new teaching and learning solutions that be tested different situations. Educational goals can better achieved managed by educational technologies. First, this paper analyses how improve outcomes teaching, providing examples help educators data enhance fairness rank education developing countries. This study aims examine teacher’s student’s perceptions the effectiveness education. Its curse perceived as good system human knowledge. optimistic class strongly recommended teachers students. But every teacher more adapted technological changes than Further research on generational geographical diversity students contribute effective implementation Education (AIED).

Language: Английский

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Designing for human–AI complementarity in K‐12 education

AI Magazine, Journal Year: 2022, Volume and Issue: 43(2), P. 239 - 248

Published: June 1, 2022

Abstract Recent work has explored how complementary strengths of humans and artificial intelligence (AI) systems might be productively combined. However, successful forms human–AI partnership have rarely been demonstrated in real‐world settings. We present the iterative design evaluation Lumilo, smart glasses that help teachers their students AI‐supported classrooms by presenting real‐time analytics about students’ learning, metacognition, behavior. Results from a field study conducted K‐12 indicate learn more when AI tutors together during class. discuss implications this research for partnerships. argue participatory approaches to area, which practitioners other stakeholders are deeply, meaningfully involved throughout process. Furthermore, we advocate theory‐building principled decision‐making contexts.

Language: Английский

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Computer Intelligence in Higher Education

Published: Nov. 22, 2022

The role of artificial intelligence (AI) systems is constantly increasing in the creation and production this knowledge. Software hardware complexes universal humanoid superintelligence are being created with maximum intensity. Progress field last 15 years reflected precisely realization that human intellect does not arise simply from a few methods techniques for solving problems, schemes, reasoning mechanisms, but requires use specific knowledge depending on problem area. Education, thanks to application modern technologies, no longer privilege, basic right.

Language: Английский

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Harnessing Artificial Intelligence for Innovation in Education

Published: Jan. 1, 2023

In the field of educational technology, Artificial Intelligence in Education (AIEd) is an emerging that projected to have a profound impact on teaching and learning process. The AIEd has already been around for more than 30 years, but educators may still concerns about scaling pedagogical benefits how it could positively purpose this chapter demystify artificial intelligence (AI), its society harness power AI transformational change education. Taking first step clarifying definition (AI) differentiate from human (HI). With understanding place, open learner model by design can be applied as framework which explains used enhance general (Luckin et al., 2016). It advocate teachers’ roles augmented evolved AIEd-enabled, consider applications three different perspectives: (i) learner-facing, (ii) teacher-facing (iii) system-facing (Baker Smith, 2019). There significant progress area student-facing AIEd, especially when comes development personalized adaptive systems based big data. system presented Luckin al. (2016) provided insights into system. was discussed (PALS) proposed example situation purposes (Palanisamy 2021). are two aspects garnered lot interest: automatic grading prompt feedback learners’ progress. As solution, offers academic administrators profiles predictions, admission decisions course scheduling, attrition retention student models achievementStudent achievement. An evaluation literature suggests future intertwined with ability integrated other technologies, like immersive technology Internet Things, create new innovations learning.

Language: Английский

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