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Wyszukujesz frazę "Elo rating" wg kryterium: Temat


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Tytuł:
Competition-based rating system for medical website credibility
Autorzy:
Kowalik, G.
Powiązania:
https://bibliotekanauki.pl/articles/305707.pdf
Data publikacji:
2015
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
rating system
Elo rating
web credibility
rating aggregation
credibility of online content
Opis:
In this paper, we propose a new approach to the aggregation of monadic ratings (5-step scale) done by crowdsourcing users for the evaluation of medical websites. We compare them pairwise with other evaluations done by the same users for other websites (whether they are higher or lower), and we will use an Elo rating algorithm to calculate website “credibility” values. Results show that this method of crowdsourcing evaluation is highly correlated with expert evaluations. As proposed, a competition-based model uses a 5-step scale as ordinal and only compares which website is rated higher or lower by the same user. This approach can solve many problems associated with a 5-point scale, such as different understanding by users, user bias, and distribution skewness that can be clearly observed in results.
Źródło:
Computer Science; 2015, 16 (3); 265-280
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Elo Rating Algorithm for the Purpose of Measuring Task Difficulty in Online Learning Environments
Autorzy:
Pankiewicz, Maciej
Bator, Maricn
Powiązania:
https://bibliotekanauki.pl/articles/425608.pdf
Data publikacji:
2019
Wydawca:
Szkoła Główna Handlowa w Warszawie
Tematy:
Elo
rating algorithm
task difficulty
online learning environment
learner feedback
proportion correct
Opis:
The Elo rating algorithm, developed for the purpose of measuring player strength in chess tournaments, has also found application in the context of educational research and has been used for the purpose of measuring both learner ability and task difficulty. The quality of the estimations performed by the Elo rating algorithm has already been subject to research, and has been shown to deliver accurate estimations in both low and high-stake testing situations. However, little is known about the performance of the Elo algorithm in the context of learning environments where multiple attempts are allowed, feedback is provided, and the learning process spans several weeks or even months. This study develops the topic of Elo algorithm use in an educational context and examines its performance on real data from an online learning environment where multiple attempts were allowed, and feedback was provided after each attempt. Its performance in terms of stability of the estimation results in two analyzed periods for two groups of learners with different initial levels of knowledge are compared with alternative difficulty estimation methods: proportion correct and learner feedback. According to the results, the Elo rating algorithm outperforms both proportion correct and learning feedback. It delivers stable difficulty estimations, with correlations in the range 0.87–0.92 for the group of beginners and 0.72–0.84 for the group of experienced learners.
Źródło:
e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie; 2019, 5 (82); 43-51
1731-6758
1731-7428
Pojawia się w:
e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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