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Webinar PBI UKSW AI in Language Learning

toar sumakul

Created on June 11, 2020

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Transcript

The future of online education:

AI Injected E-Learning

(Montebello, 2018)

Benefits

Personalised

LEARNING

Flexible

Inclusive

MORE

Engaging

(Luckin et al, 2016)

AI Apps Demo

Concerns

  • Ethical issues
  • Unreliable learning resources
  • Teachers' pedagogical approaches

PLE

AI Injected e-Learning Model

Impersonal

PERSONALISATION

Adaptive

(Montebello, 2018)

Self-Determination

Connectivism

LEARNER PROFILING

CROWDSOURCING

Isolation

Motivation

PLP

PLN

Teachers' ACE Skills

Analytical Skills

Creative Skills

Evaluative Skills

(Sumakul, 2019)

References

Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed. An argument for AI in education. London: Pearson. Montebello, M. (2018). AI injected e-learning. Switzerland: Springer. Sumakul, D. T. (2019). When robots enter the classrooms: Implications for teachers. In R. A. Amirrachman (Ed.), Proceedings of Embedding Artificial Intelligence (AI) in Education Policy and Practice for Southeast Asia: The International Conference on Artificial Intelligence (AI) in Education (pp. 42-48). Jakarta: SEAMOLEC.