From anecdotal evidence to quantitative evaluation methods: A systematic review on evaluating explainable ai
The rising popularity of explainable artificial intelligence (XAI) to understand high-performing
black boxes raised the question of how to evaluate explanations of machine learning (ML) …
black boxes raised the question of how to evaluate explanations of machine learning (ML) …
How cognitive biases affect XAI-assisted decision-making: A systematic review
The field of eXplainable Artificial Intelligence (XAI) aims to bring transparency to complex AI
systems. Although it is usually considered an essentially technical field, effort has been …
systems. Although it is usually considered an essentially technical field, effort has been …
Leading teachers' perspective on teacher-AI collaboration in education
J Kim - Education and Information Technologies, 2024 - Springer
Moving beyond the direct support all alone by a human teacher or an Artificial Intelligence
(AI) system, optimizing the complementary strengths of the two has aroused great …
(AI) system, optimizing the complementary strengths of the two has aroused great …
[HTML][HTML] Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities
The past decade has seen significant progress in artificial intelligence (AI), which has
resulted in algorithms being adopted for resolving a variety of problems. However, this …
resulted in algorithms being adopted for resolving a variety of problems. However, this …
Human and artificial intelligence collaboration for socially shared regulation in learning
Artificial intelligence (AI) has generated a plethora of new opportunities, potential and
challenges for understanding and supporting learning. In this paper, we position human and …
challenges for understanding and supporting learning. In this paper, we position human and …
[HTML][HTML] Knowledge graphs as tools for explainable machine learning: A survey
This paper provides an extensive overview of the use of knowledge graphs in the context of
Explainable Machine Learning. As of late, explainable AI has become a very active field of …
Explainable Machine Learning. As of late, explainable AI has become a very active field of …
The promise and challenges of generative AI in education
Generative artificial intelligence (GenAI) tools, such as large language models (LLMs),
generate natural language and other types of content to perform a wide range of tasks. This …
generate natural language and other types of content to perform a wide range of tasks. This …
Experimental evidence of effective human–AI collaboration in medical decision-making
Artificial Intelligence (ai) systems are precious support for decision-making, with many
applications also in the medical domain. The interaction between mds and ai enjoys a …
applications also in the medical domain. The interaction between mds and ai enjoys a …
Towards hybrid human‐AI learning technologies
I Molenaar - European Journal of Education, 2022 - Wiley Online Library
Education is a unique area for application of artificial intelligence (AI). In this article, the
augmentation perspective and the concept of hybrid intelligence are introduced to frame our …
augmentation perspective and the concept of hybrid intelligence are introduced to frame our …
[HTML][HTML] The concept of hybrid human-AI regulation: Exemplifying how to support young learners' self-regulated learning
I Molenaar - Computers and Education: Artificial Intelligence, 2022 - Elsevier
Hybrid systems combining artificial and human intelligence hold great promise for training
human skills. In this paper, I position the concept of Hybrid Human-AI Regulation and …
human skills. In this paper, I position the concept of Hybrid Human-AI Regulation and …