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Activating learning at scale: A review of innovations in online learning strategies
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 …
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
AI-powered learning technologies are increasingly being used to automate and scaffold
learning activities (eg, personalised reminders for completing tasks, automated real-time …
learning activities (eg, personalised reminders for completing tasks, automated real-time …
Peer assessment in MOOCs: Systematic literature review
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 …
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
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 …
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 …
Georgia Tech's OMSCS 7637 class, Knowledge-Based Artificial Intelligence (KBAI). JW has …
Generating automatic feedback on ui mockups with large language models
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 …
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
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 …
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 …
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
In large introductory programming classes, teacher feedback on individual incorrect student
submissions is often infeasible. Program synthesis techniques are capable of fixing student …
submissions is often infeasible. Program synthesis techniques are capable of fixing student …
Neuro-symbolic program corrector for introductory programming assignments
Automatic correction of programs is a challenging problem with numerous real world
applications in security, verification, and education. One application that is becoming …
applications in security, verification, and education. One application that is becoming …