Intelligence Unleashed: An argument for AI in Education

By R. Luckin, Wayne Holmes. 2016

1,741 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/ef48d23164d77901ed93cf95d2939e9b459110e3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Longo Luca
2. Jae Hyun Kim
3. S. Pokrivčáková
4. Cuiping Song
5. Mutlu Cukurova
6. Hyunkyung Lee
7. Francisco-Javier Hinojo-Lucena
8. Irene-Angelica Chounta

Citations in the corpus

• Artificial Intelligence in Higher Education: A Bibliometric Study on its Impact in the Scientific Literature (2019, background): “Artificial intelligence applied to higher education is a reality, since it is currently experimented, and beneficial results are being obtained [5,8,10,12,14].”
• The AI Revolution in Education: Will AI Replace or Assist Teachers in Higher Education? (2023, unknown): “Prof. Luckin from UCL Knowledge Lab even predicted that every teacher could have a dedicated AI assistant by 2030 (Luckin, Holmes, Griffiths, & Forcier, 2016).”
• Enhancing academic writing skills and motivation: assessing the efficacy of ChatGPT in AI-assisted language learning for EFL students (2023, background): “…recognized the potential of AI in language learning and teaching contexts, aiming to enhance teaching methodologies for language instructors and facilitate language learners’ language acquisition (Luckin et al., 2016; Zhang and Zou, 2020; Nazari et al., 2021; Sun et al., 2021; Xia et al., 2022).”
• Preparing teachers for the application of AI-powered technologies in foreign language education (2019, background): “Contemporary definitions of AI differ in various aspects and the problems to formulate a united definition of AI are caused by both constant shifts in what AI includes (Luckin et al., 2016) as well as by the interdisciplinarity of its research (AI”
• Learning design to support student-AI collaboration: perspectives of leading teachers for AI in education (2022, background): “The field of education is among those adopting and adapting to the opportunities and challenges of AI-enabled technologies, amid the broader incorporation of data, algorithms, and automation (Luckin et al., 2016).”
• Designing educational technologies in the age of AI: A learning sciences-driven approach (2019, background): “It can also help us to solve some of the greatest challenges within education across the globe (Luckin et al, 2016; Luckin, 2018) However, in order to ensure that we can all benefit from our AI, we all need to know enough about AI to use it effectively.”
• Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions (2023, background): “AI in Education (AIED) focuses on developing AI-powered educational technologies to aid students, instructors, and educational institutions [108–110] in their teaching and learning activities.”
• Exploring Teachers’ Perceptions of Artificial Intelligence as a Tool to Support their Practice in Estonian K-12 Education (2021, background): “Even though a common argument against AI integration in the workplace is that it will take over from humans and lead to job losses (Luckin et al. 2016), this was a minor concern of Estonian K-12 teachers.”