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Towards a Social Trust-Aware Recommender for Teachers
[chapter]
2014
Recommender Systems for Technology Enhanced Learning
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To overcome this problem, we propose to enhance a trustbased recommender algorithm with social data obtained from monitoring the activities of teachers within the ODS platform. ...
Unfortunately, due to the sparsity of the educational datasets most educational recommender systems cannot make accurate recommendations. ...
an online social platform. ...
doi:10.1007/978-1-4939-0530-0_9
fatcat:5zzkbqar55gvhjuzlzox4xlmey
Social recommender approach for technology-enhanced learning
2018
International Journal of Learning Technology
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As explained by Verbert et al. (2011) , datasets present in educational platforms suffer from this problem. ...
ratings grouped by hypotheses (see online version for colours)
Table 1 1 Synthesis of social educational recommender systems System
Item types
recommended
Recommendation
method
Elements used in ...
doi:10.1504/ijlt.2018.091631
fatcat:43hnr2lwpfac5l4fkwzcb63o6m
An Automatic Optimal Course Recommendation Method for Online Math Education Platforms Based on Bayesian Model
2021
International Journal of Emerging Technologies in Learning (iJET)
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To solve this problem, this paper designs an automatic recommendation method of optimal courses for online math education platforms based on Bayesian model. ...
Online education platforms inject new vitality into the field of education, and greatly improves the accessibility to high-quality education resources. ...
Flow of the course recommendation algorithm
Implementation and Analysis of the Automatic Optimal Course Recommendation System for Online Education Platforms
Implementation of the proposed system In ...
doi:10.3991/ijet.v16i13.24039
fatcat:io3i7zizavcp7exeszi5emuzey
Impact of social media on interpersonal communication
2022
International journal of communication and information technology
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It has facilitated the initiation and maintenance of relationships, enabling sharing of experiences, thoughts, and emotions in real time. ...
The brevity and informality of online communication, the emphasis on visual content and the curation of personas present challenges in interpreting emotions and intentions accurately. ...
Algorithmic Biases: Algorithms used by social media platforms may inadvertently perpetuate biases, leading to discriminatory outcomes in content distribution, user recommendations, and advertising targeting ...
doi:10.33545/2707661x.2022.v3.i2a.69
fatcat:x572uj72cvagljwm3kax36wf5m
Analysis of Differences in User Behavior Based on a Variety of Online Social Networks
2019
Sensors and materials
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We will create a model for the analysis of differences in user behavior based on a comparison of multiple online social networks. ...
Differences in user behavior will also be shown on the basis of this model. ...
Acknowledgments This work was supported by the Science and Technology Project of Longyan City (2017LY74), Longyan University (LQ2016004), and the Youth Project of Fujian Province Education Hall (JT180522 ...
doi:10.18494/sam.2019.2222
fatcat:cifsaxpiwfd2jkvcw54k5yyl3a
The Recommendation System of Innovation and Entrepreneurship Education Resources in Universities Based on Improved Collaborative Filtering Model
2022
Computational Intelligence and Neuroscience
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In the huge number of online university education resources, it is difficult for learners to quickly locate the resources they need, which leads to "information trek." ...
In order to improve the recommendation accuracy, a recommendation algorithm based on improved collaborative filtering model is proposed in this paper. ...
Acknowledgments is study was sponsored by Xi'an Physical Education University. ...
doi:10.1155/2022/7228833
pmid:35747724
pmcid:PMC9213131
fatcat:32avmqnme5fmhbkqsw54zq2xy4
Design of personalized recommendation system for online learning resources based on improved collaborative filtering algorithm
2020
E3S Web of Conferences
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In China, online open courses are open to all learners on the platform of major portals. ...
of the recommendation results by improving the collaborative filtering algorithm. ...
The ministry of education plans to build 5000 online open courseware courses in 2018, and 20000 online open courseware courses in 2020.
Figure 1 . 1 Personalized recommendation system model. ...
doi:10.1051/e3sconf/202021401051
fatcat:hgr7plk2nbamzbyenlsmsqrjme
Online Small Sample Learner Modeling and Curriculum Recommendation with Healthy Emotional Factors of College Students
2022
Computational Intelligence and Neuroscience
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Online education is a popular way for college students at present, and it is also a good compensation way to meet the special situation that traditional offline teaching cannot complete the teaching task ...
in the overall score of the project into the similarity of users in the emotional tendency of the special attributes of the project. ...
after accepting an online education platform. ...
doi:10.1155/2022/8247203
pmid:35265116
pmcid:PMC8898885
fatcat:cxtybbhv7zejll4g4pmmeyhhtq
A Novel Precise Personalized Learning Recommendation Model Regularized with Trust and Influence
2022
Scientific Programming
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Many precise personalized learning recommendations in massive open online courses (MOOCs) have emerged in the intelligence education field. ...
cluster by the ISH algorithm. ...
Figure 3 : 3 Figure 3: e architecture of our recommendation algorithm.
Network is an open online course learning platform owned by Instructure, an American educational technology company. ...
doi:10.1155/2022/8479423
fatcat:hbgy3u64ibcbvj6cuo6ynjve6i
A Social Recommendation Mechanism for Peer-to-Peer Lending
2018
Americas Conference on Information Systems
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have social relationships with borrowers. ...
However, because of the information asymmetry online, much fewer investors dare to use this new alternative finance comparing to the potential market. ...
However, pure online relationship is not strong enough. Even offline weak-tie friends will be more likely to bid on loans than online friends (Liu et al., 2015) . ...
dblp:conf/amcis/HwangLW18
fatcat:gs5tsufjofdpfj5naq6yvhavn4
My Friends, Editors, Algorithms, and I
2018
Digital Journalism
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Our results are partly in line with current general theory on algorithmic appreciation, but diverge in our findings on the relative appreciation of algorithms and experts, and in how the appreciation of ...
Analysing data from a 26-country survey (N ¼ 53,314), we report the extent to which audiences believe story selection by editors and story selection by algorithms are good ways to get news online and, ...
Differences in algorithmic appreciation between particular classes of individuals, such as the young, or those with more formal education. ...
doi:10.1080/21670811.2018.1493936
fatcat:w5oarrbpx5eubndlr5k43e7vqq
"The Spy Who Loved Me": A Qualitative Exploratory Analysis of the Relationship Between Youth and Algorithms
2022
Frontiers in Communication
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The third part of this paper summarizes the methods used to gather the data through a method we call "online in praxis interviews." ...
In particular, the division of phenomena in three levels (operations, actions, and activities) is used to build up a canvas for a model that will be tested enriched with the new data. ...
In terms of results, it appears that young adults develop an ambivalent relationship with recommendation algorithms. ...
doi:10.3389/fcomm.2022.778273
fatcat:w5uticnkavfibjyldl3cxboyda
Realization of Mobile Education Resource Sharing Method Based on Wireless Broadband Connection
2021
Scientific Programming
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This paper proposes a new platform for mobile educational resource prediction and sharing via wireless broadband access technology. ...
Educational resource sharing among students is always an essential component for the development of education level. ...
In the virtual learning community, the user relationship graph is formed by the friends between users [15] . ...
doi:10.1155/2021/4018500
fatcat:vyiyindf3fggnbjvrz6hm5rebe
Mining Hot-Personae Approach Based on Local Social Microblog Graph
2019
Information Technology and Control
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With the increasing popularity of online social media platforms, netizens always chat with their friends and share information, such as what they like in their daily lives, on these platforms. ...
To address these issues, we propose a novel algorithm, named Hot Persona Mining, to analyze the users' focus personae from microblog posts in the online social networks. ...
A large amount of link relationships among friends and posts can be found in the microblog platforms. ...
doi:10.5755/j01.itc.48.4.21950
fatcat:xcz7pan4fja4rmco2zpvgn4o4y
Unpacking the effects of personality traits on algorithmic awareness: The mediating role of previous knowledge and moderating role of internet use
2022
Frontiers in Psychology
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The COVID-19 pandemic has accelerated the integration of algorithms in online platforms to facilitate people's work and life. ...
We adapted the 13-item Algorithmic Media Content Awareness Scale (AMCA-scale) to survey users' algorithmic awareness of online content in four dimensions. ...
In the algorithm-driven online environment, social media and other types of platforms decide what flow of content we see, determine what ads we would like, make content recommendations that cater to our ...
doi:10.3389/fpsyg.2022.953892
pmid:36148121
pmcid:PMC9485722
fatcat:sqwgdskofnbizn7bzrkxxfqaiu
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