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Towards an Evolution of E-Learning Recommendation Systems: From 2000 to Nowadays

Sonia Souabi, Asmaâ Retbi, Mohammed Khalidi Idrissi, Samir Bennani
2021 International Journal of Emerging Technologies in Learning (iJET)  
In e-learning, recommendation systems have proven to be highly efficient for improving learners' performance and knowledge.  ...  In this respect, this paper analyses the evolution of recommendation systems in e-learning since 2000 with a focus on the evolution sides. It furthermore addresses areas not fully addressed to date.  ...  Hybrid techniques: which are based on the combination of several techniques simultaneously to improve the performance of the recommendation system. iii.  ... 
doi:10.3991/ijet.v16i06.18159 fatcat:fnlwktc7obglxj2vbaridmys3a

Design of Digital Network Shared Learning Platform Based on SCORM Standard

Shen Yanhong
2018 International Journal of Emerging Technologies in Learning (iJET)  
According to the rec-ommendation algorithm of collaborative filtering in personalized recommendation technology, a digital teaching resource recommendation model based on SCORM standard was constructed  ...  It improves learning efficiency.  ...  Acknowledgement The National Information Technology Education Research of 2017 Youth Project(176140019).  ... 
doi:10.3991/ijet.v13i07.8602 fatcat:5oketj3x45bodosmi2s3yq4x7u

Improve Learner-based Recommender System with Learner's Mood in Online Learning Platform

Qing Tang, Marie-Helene Abel, Elsa Negre
2021 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)  
To improve the performance of recommender system, more and more learner's attributes (e.g. learning style, learning ability, knowledge level, etc.) have been considered.  ...  Recommender systems are used to help learners obtain appropriate resources efficiently in online learning.  ...  In this work, a systematic learner-based recommender system in online-learning platform is performed, it can make similarity calculations based on learners' features, and then recommend appropriate learning  ... 
doi:10.1109/icmla52953.2021.00271 fatcat:jxmuwsr67fb2dfw767odiohkoy


2014 Journal of Computer Science  
An attempt is made in this study to design and develop a Recommender System (RS), in the form of a software agent giving recommendations based on the previous observations.  ...  learning environment which includes many aspects of learning such as course content delivery tools, synchronous and asynchronous conferencing systems, quiz models, grade reporting systems, creation of  ...  Analysis of Associated Recommender Systems The usual practice is that, the RS recommends a learning task to a learner based on the tasks already performed by the learner and based on the task performed  ... 
doi:10.3844/jcssp.2014.720.722 fatcat:3skkwc46kvecbdbs3pfqnq6p4q

Towards Responsive Open Learning Environments: The ROLE Interoperability Framework [chapter]

Sten Govaerts, Katrien Verbert, Daniel Dahrendorf, Carsten Ullrich, Manuel Schmidt, Michael Werkle, Arunangsu Chatterjee, Alexander Nussbaumer, Dominik Renzel, Maren Scheffel, Martin Friedrich, Jose Luis Santos (+2 others)
2011 Lecture Notes in Computer Science  
In recent years, research on mash-up technologies for learning environments has gained interest.  ...  The overall goal is to enrich or replace traditional learning management systems (LMS) with mash-ups of widgets and services that can be easily combined and configured to fit the learner needs.  ...  Social recommendations are integrated that suggest resources based on preferences of peers. These recommendations are generated based on data that is captured by the CAM tracking service (cf.  ... 
doi:10.1007/978-3-642-23985-4_11 fatcat:fqk4hrhaercxthv6ssopxq2oru

Modeling Learner Information wihting an Integrated Model on Standard-based Representations

Mario Chacón-Rivas, Olga C. Santos, Jesus Boticario
2015 User Modeling, Adaptation, and Personalization  
This information is basic for recommending resources as well as to predict performance.  ...  There are open issues when it comes to integrate in standards-based user models that information, which covers learning styles, competences, affective states, interaction needs, context information and  ...  Authors would also like to thank the Department of "Orientación y Psicología" (DOP) at TEC, specially to Alejandra Alfaro.  ... 
dblp:conf/um/Chacon-RivasSB15 fatcat:b7wu6g7hzzcirlvohi2yauh3eu

Building Test Recommender Systems for e-Learning Systems

Oana Maria Teodorescu
2020 Educational Data Mining  
The system's main goal is to improve the efficiency of the overall testing activity of learners by recommending questions relative to their knowledge level.  ...  This research aims to investigate how a recommendation system can be used for building personalized tests in the context of education.  ...  Application and validation of recommender system in student's and professor's activity on e-Learning system The aim of the recommender system is to prove itself useful in the context of an e-Learning environment  ... 
dblp:conf/edm/Teodorescu20 fatcat:tgl5mwkjzvdtbk6yua3qijtf6y

Smart learning environment: Teacher's role in assessing classroom attention

Rawia Bdiwi, Cyril de Runz, Sami Faiz, Arab Ali Cherif
2019 Research in Learning Technology  
A new pedagogical approach based on collaborative learning is used due to the design of a smart learning environment (SLE).  ...  The main purpose of this article is to investigate the impact of teacher's position on students' performance in higher education.  ...  • What is the role of the teacher's position in improving learners' performance? • How have learners used the feedback received from their teachers to improve their collaborative experience?  ... 
doi:10.25304/rlt.v27.2072 fatcat:vffjhmhimfegra2zry5ltas4we

E‐learning agents

Dawn G. Gregg
2007 Learning Organization  
The e-learning agents monitor the e-learning environment and improve learning and collaboration based on learners' prior knowledge, social characteristics and learning style.  ...  Findings -E-learning agents should allow the discovery of new learning objects more easily, allow learners to customize materials presented to improve learning outcomes, and improve collaboration in the  ...  based on specific concepts, and learning styles, and communicates with the collaboration agents to improve interaction between the instructor and learners in environments with instructor-led learning.  ... 
doi:10.1108/09696470710749245 fatcat:mavzyhyh3fe4fklwj3j7tliof4

Integration of recommendations and adaptive hypermedia into java tutoring system

Aleksandra Klasnja-Milicevic, Boban Vesin, Mirjana Ivanovic, Zoran Budimac
2011 Computer Science and Information Systems  
A way to improve the effectiveness in e-learning is to offer the personalized approach to the learner.  ...  This paper presents an idea for integration of such recommender system into existing web-based Java tutoring system in order to provide various adaptive programming courses.  ...  Recommendation system integrated in a learning environment recommend next task to a learner based on the tasks already done by the learner and his/her success, and based on tasks made by other "similar  ... 
doi:10.2298/csis090608021k fatcat:556fxfnkkvetlnpnx4q43dzbeq

Enhancing e-learning systems with personalized recommendation based on collaborative tagging techniques

Aleksandra Klašnja-Milićević, Mirjana Ivanović, Boban Vesin, Zoran Budimac
2017 Applied intelligence (Boston)  
In this paper, we analyze the suitability of different techniques for applying tag-based recommendations in e-learning environments.  ...  We propose reducing tag space with clustering technique based on learning style model, in order to improve execution time and decrease memory requirements, while preserving the quality of the recommendations  ...  Based on the current trend, present in the recent period, we investigate the process of integration recommender systems and collaborative tagging techniques into e-learning systems.  ... 
doi:10.1007/s10489-017-1051-8 fatcat:eqkezvtaivddxljyhmlcqgp5qy

A Cloud-based Architecture for an Affective Recommender System of Learning Resources

Derick Leony, Abelardo Pardo, Hugo Alexer Parada Gélvez, Carlos Delgado Kloos
2012 International Workshop on Learning Technology for Education in Cloud  
One of the most common functionalities in cloudbased learning environments is the recommendation of learning resources.  ...  In this paper, we propose a cloud-based architecture for a system that recommends learning resources according to the affective state of the learner.  ...  ACKNOWLEDGMENT Work partially funded by the EEE project, "Plan Nacional de I+D+I TIN2011-28308-C03-01", the "Emadrid: Investigación y desarrollo de tecnologías para el e-learning en la Comunidad de Madrid  ... 
dblp:conf/ltec/LeonyPGK12 fatcat:xyqxmun54bfero2mkj5xefedau

A Recommendation Model for College English Digital Teaching Resources Using Collaborative Filtering and Few-Shot Learning Technology

Juan Li, Xin Ning
2022 Computational Intelligence and Neuroscience  
This study designs and implements a digital English instructional resource management recommendation system based on collaborative filtering technology based on CF research and the construction of digital  ...  and implements the system's core modules on the basis of fully analysing the functional and nonfunctional requirements of personalized educational resource recommendation system.  ...  Figure 2 : 2 Figure 2: Improved structure of English instructional resource management recommendation system based on CF.  ... 
doi:10.1155/2022/1233057 pmid:35814597 pmcid:PMC9270171 fatcat:g4ep76rvbna5pitwafcutlyise

DRIVER -- A Platform for Collaborative Framework Understanding

Nuno Flores, Ademar Aguiar
2015 2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE)  
It provides the documentation on a wiki, where the learning paths of the community of learners can be captured, shared, rated, and recommended, thus tapping into the collective knowledge of the community  ...  This paper presents the DRIVER platform, a collaborative learning environment for framework users to share their knowledge.  ...  . • Recommend. This step enables the recommendation of possible next steps (on a learning path that is being currently captured), based on previous learning paths other learners have took.  ... 
doi:10.1109/ase.2015.105 dblp:conf/kbse/FloresA15 fatcat:6dwsb6l5jrfbdaw5jot4lk3ygq

Use of the game-based learning platform KAHOOT! to facilitate learner engagement in Animal Science students

Kristie E. Cameron, Lewis A. Bizo
2019 Research in Learning Technology  
Gamification of instructional activities is a useful approach that educators can use to promote more effective learning environments by increasing problem-solving, critical thinking and competence in the  ...  The challenge provided by this study is to identify now how to measure the value of 'fun' activities in the tertiary classroom as a reinforcer for engagement, participation and learning.  ...  • What is the role of the teacher's position in improving learners' performance? • How have learners used the feedback received from their teachers to improve their collaborative experience?  ... 
doi:10.25304/rlt.v27.2225 fatcat:iihwcw5d65dythyeoeerzr435i
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