Towards an Integrative Educational Recommender for Lifelong Learners (Student Abstract) (original) (raw)

TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources

Sahan Bulla Bulathwela

arXiv (Cornell University), 2019

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U-learn A Recommender Agent for Personalizing Learning Environments

Anca Mohora

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Enabling Real-Time Adaptivity in MOOCs with a Personalized Next-Step Recommendation Framework

Steven Tang

Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale, 2017

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Automatic Personalization in E-Learning Based on Recommendation Systems: An Overview

M. Koutheair KHRIBI

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Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systems

Sahan Bulla Bulathwela

arXiv (Cornell University), 2021

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An E-Learning Recommender That Helps Learners Find the Right Materials

Stewart Massie

Proceedings of the AAAI Conference on Artificial Intelligence

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PEEK: A Large Dataset of Learner Engagement with Educational Videos

Sahan Bulla Bulathwela

arXiv (Cornell University), 2021

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Towards Companion Recommenders Assisting Users’ Long-Term Journeys

Minmin Chen

Proceedings of the 17th ACM Conference on Recommender Systems

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Towards Personalized Adaptive Learning in e-Learning Recommender Systems

Myriam Lamolle

International Journal of Advanced Computer Science and Applications, 2022

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A systematic literature review on adaptive content recommenders in personalized learning environments from 2015 to 2020

NISHA S RAJ

Journal of Computers in Education, 2021

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Holistic, Evolving and Multi-viewpoints Learner Model

Lucie Moulet, Olga Mariño

2000

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Recommendation method based on learner profile and demonstrated knowledge

Indonesian Journal of Electrical Engineering and Computer Science

Indonesian Journal of Electrical Engineering and Computer Science, 2022

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Effective Learning Recommendations Powered by AI Engine

Xiaodong Dang

2018

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Context-aware recommender systems for learning: a survey and future challenges

Erik Duval

2011

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Interpretable Personalized Knowledge Tracing and Next Learning Activity Recommendation

Candace Marie Thille

Proceedings of the Seventh ACM Conference on Learning @ Scale, 2020

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Modeling recommendations for the educational domain

Jesus G. Boticario

Procedia Computer Science, 2010

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Harnessing Background Knowledge for E-Learning Recommendation

Stewart Massie

Research and Development in Intelligent Systems XXXIII, 2016

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Predicting Learners Need for Recommendation Using Dynamic Graph-Based Knowledge Tracing

Abdessamad Chanaa

Lecture Notes in Computer Science, 2020

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A Framework to Provide Personalization in Learning Management Systems through a Recommender System Approach

quang hien Hoang

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Hybrid Adaptive Educational Hypermedia Recommender Accommodating User’s Learning Style and Web Page Features

Mahdi Esmaeili

Journal of AI and Data Mining, 2019

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6 th International Workshop on Personalization Approaches in Learning Environments ( PALE 2016 ) Preface

Miloš Kravčík

2016

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IRJET-Enhancing Learner Engagement through his Own Experiences which will be Catalysed by AI Teacher as well as Human TeacherC

IRJET Journal

IRJET, 2020

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Using Similarity Metrics for Matching Lifelong Learners

George Magoulas

Lecture Notes in Computer Science, 2008

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A Hybrid Recommender System Architecture for Learning Objects

Mario Garcia Valdez

2009

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Using DEMATEL for Contextual Learner Modeling in Personalized and Ubiquitous Learning

Mohammad Zarour

Computers, Materials & Continua

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Recommender systems in e-learning environments: a survey of the state-of-the-art and possible extensions

Aleksandra Klasnja Milicevic

Artificial Intelligence Review, 2015

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Editorial: Focus on Recommender Systems for Technology-Supported Learning

Antonella Carbonaro

2014

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Lifelong Learner Modeling for Lifelong Personalized Pervasive Learning

Judy Kay

IEEE Transactions on Learning Technologies, 2000

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Personalized recommender system for technology enhanced learning using learners' metacognitive activities

Lydia Odilinye

2019

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Finding Paths for Explainable MOOC Recommendation: A Learner Perspective

Tanya Nazaretsky

arXiv (Cornell University), 2023

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An improved adaptive learning path recommendation model driven by real-time learning analytics

Nisha S Raj

Journal of Computers in Education

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Context Aware Recommender Systems and Techniques in offering Smart Learning: A Survey and Future work

Kevin Gogo

2020

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Artificial Intelligence in Personalized Learning: Revolutionizing Evolution for Diverse Learner Needs

Abeer M . W . Alharbi

IRE Journals, 2024

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Elicitation of latent learning needs through learning goals recommendation

Matteo Gaeta

Computers in Human Behavior, 2014

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A recommender system for learning goals

Sergio Miranda

2013

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