Activating learning at scale: A review of innovations in online learning strategies

D Davis, G Chen, C Hauff, GJ Houben - Computers & Education, 2018 - Elsevier
Taking advantage of the vast history of theoretical and empirical findings in the learning
literature we have inherited, this research offers a synthesis of prior findings in the domain of …

[HTML][HTML] Impact of AI assistance on student agency

A Darvishi, H Khosravi, S Sadiq, D Gašević… - Computers & …, 2024 - Elsevier
AI-powered learning technologies are increasingly being used to automate and scaffold
learning activities (eg, personalised reminders for completing tasks, automated real-time …

Peer assessment in MOOCs: Systematic literature review

D Gamage, T Staubitz, M Whiting - Distance Education, 2021 - Taylor & Francis
We report on a systematic review of the landscape of peer assessment in massive open
online courses (MOOCs) with papers from 2014 to 2020 in 20 leading education technology …

Incorporating AI and learning analytics to build trustworthy peer assessment systems

A Darvishi, H Khosravi, S Sadiq… - British Journal of …, 2022 - Wiley Online Library
Peer assessment has been recognised as a sustainable and scalable assessment method
that promotes higher‐order learning and provides students with fast and detailed feedback …

Jill Watson: A virtual teaching assistant for online education

AK Goel, L Polepeddi - Learning engineering for online education, 2018 - taylorfrancis.com
This chapter describes the use of a virtual teaching assistant called Jill Watson (JW) for
Georgia Tech's OMSCS 7637 class, Knowledge-Based Artificial Intelligence (KBAI). JW has …

Generating automatic feedback on ui mockups with large language models

P Duan, J Warner, Y Li, B Hartmann - … of the 2024 CHI Conference on …, 2024 - dl.acm.org
Feedback on user interface (UI) mockups is crucial in design. However, human feedback is
not always readily available. We explore the potential of using large language models for …

Designing effective interview chatbots: Automatic chatbot profiling and design suggestion generation for chatbot debugging

X Han, M Zhou, MJ Turner, T Yeh - … of the 2021 CHI Conference on …, 2021 - dl.acm.org
Recent studies show the effectiveness of interview chatbots for information elicitation.
However, designing an effective interview chatbot is non-trivial. Few tools exist to help …

Utilizing crowdsourcing and machine learning in education: Literature review

HS Alenezi, MH Faisal - Education and Information Technologies, 2020 - Springer
For many years, learning continues to be a vital develo** field since it is the key measure
of the world's civilization and evolution with its enormous effect on both individuals and …

Writing reusable code feedback at scale with mixed-initiative program synthesis

A Head, E Glassman, G Soares, R Suzuki… - Proceedings of the …, 2017 - dl.acm.org
In large introductory programming classes, teacher feedback on individual incorrect student
submissions is often infeasible. Program synthesis techniques are capable of fixing student …

Neuro-symbolic program corrector for introductory programming assignments

S Bhatia, P Kohli, R Singh - … of the 40th international conference on …, 2018 - dl.acm.org
Automatic correction of programs is a challenging problem with numerous real world
applications in security, verification, and education. One application that is becoming …