Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020
As online learning has been widely adopted in higher education in recent years, artificial
intelligence (AI) has brought new ways for improving instruction and learning in online …
intelligence (AI) has brought new ways for improving instruction and learning in online …
A review on machine learning, artificial intelligence, and smart technology in water treatment and monitoring
Artificial-intelligence methods and machine-learning models have demonstrated their ability
to optimize, model, and automate critical water-and wastewater-treatment applications …
to optimize, model, and automate critical water-and wastewater-treatment applications …
Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration
F Fui-Hoon Nah, R Zheng, J Cai, K Siau… - Journal of Information …, 2023 - Taylor & Francis
Artificial intelligence (AI) has elicited much attention across disciplines and industries (Hyder
et al., 2019). AI has been defined as “a system's ability to correctly interpret external data, to …
et al., 2019). AI has been defined as “a system's ability to correctly interpret external data, to …
Six human-centered artificial intelligence grand challenges
Widespread adoption of artificial intelligence (AI) technologies is substantially affecting the
human condition in ways that are not yet well understood. Negative unintended …
human condition in ways that are not yet well understood. Negative unintended …
Behavior-1k: A benchmark for embodied ai with 1,000 everyday activities and realistic simulation
We present BEHAVIOR-1K, a comprehensive simulation benchmark for human-centered
robotics. BEHAVIOR-1K includes two components, guided and motivated by the results of an …
robotics. BEHAVIOR-1K includes two components, guided and motivated by the results of an …
What do we want from Explainable Artificial Intelligence (XAI)?–A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research
Abstract Previous research in Explainable Artificial Intelligence (XAI) suggests that a main
aim of explainability approaches is to satisfy specific interests, goals, expectations, needs …
aim of explainability approaches is to satisfy specific interests, goals, expectations, needs …
The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI
D Shin - International journal of human-computer studies, 2021 - Elsevier
Artificial intelligence and algorithmic decision-making processes are increasingly criticized
for their black-box nature. Explainable AI approaches to trace human-interpretable decision …
for their black-box nature. Explainable AI approaches to trace human-interpretable decision …
[HTML][HTML] Artificial intelligence in education: The three paradigms
With the development of computing and information processing techniques, artificial
intelligence (AI) has been extensively applied in education. Artificial intelligence in …
intelligence (AI) has been extensively applied in education. Artificial intelligence in …
Learning design to support student-AI collaboration: Perspectives of leading teachers for AI in education
Preparing students to collaborate with AI remains a challenging goal. As AI technologies are
new to K-12 schools, there is a lack of studies that inform how to design learning when AI is …
new to K-12 schools, there is a lack of studies that inform how to design learning when AI is …
Investigating explainability of generative AI for code through scenario-based design
What does it mean for a generative AI model to be explainable? The emergent discipline of
explainable AI (XAI) has made great strides in helping people understand discriminative …
explainable AI (XAI) has made great strides in helping people understand discriminative …