Predicting Personality Traits by Student Learning Behaviors on Blackboard Systems

Predicting Personality Traits by Student Learning Behaviors on Blackboard Systems

Personality has been demonstrated as influential factors in technology-enhanced learning. The collection of personality is always a challenge. Human efforts are usually required in the user surveys which is the most common and popular way to collect the personality traits. Predicting personality tra...

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Main Author: Zheng Yong
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:SHS Web of Conferences
Online Access:https://www.shs-conferences.org/articles/shsconf/pdf/2020/05/shsconf_etltc2020_01003.pdf
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spelling doaj-215d1c881efb47419414e61818325d392021-04-02T12:24:46ZengEDP SciencesSHS Web of Conferences2261-24242020-01-01770100310.1051/shsconf/20207701003shsconf_etltc2020_01003Predicting Personality Traits by Student Learning Behaviors on Blackboard SystemsZheng Yong0Illinois Institute of TechnologyPersonality has been demonstrated as influential factors in technology-enhanced learning. The collection of personality is always a challenge. Human efforts are usually required in the user surveys which is the most common and popular way to collect the personality traits. Predicting personality traits, as a result, becomes one of the research directions. Some researchers consider these personality traits as labels in the classifications, while some others consider them as numeric variables in the regressions. In this paper, we made our attempt to predict the students’ personality traits from their learning behaviors on the Blackboard system. More specifically, we tried both the classification and regression models, and evaluate them based on the same standards. Our initial experimental results discover the insights about these predictive models.https://www.shs-conferences.org/articles/shsconf/pdf/2020/05/shsconf_etltc2020_01003.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Zheng Yong
spellingShingle Zheng Yong
Predicting Personality Traits by Student Learning Behaviors on Blackboard Systems
SHS Web of Conferences
author_facet Zheng Yong
author_sort Zheng Yong
title Predicting Personality Traits by Student Learning Behaviors on Blackboard Systems
title_short Predicting Personality Traits by Student Learning Behaviors on Blackboard Systems
title_full Predicting Personality Traits by Student Learning Behaviors on Blackboard Systems
title_fullStr Predicting Personality Traits by Student Learning Behaviors on Blackboard Systems
title_full_unstemmed Predicting Personality Traits by Student Learning Behaviors on Blackboard Systems
title_sort predicting personality traits by student learning behaviors on blackboard systems
publisher EDP Sciences
series SHS Web of Conferences
issn 2261-2424
publishDate 2020-01-01
description Personality has been demonstrated as influential factors in technology-enhanced learning. The collection of personality is always a challenge. Human efforts are usually required in the user surveys which is the most common and popular way to collect the personality traits. Predicting personality traits, as a result, becomes one of the research directions. Some researchers consider these personality traits as labels in the classifications, while some others consider them as numeric variables in the regressions. In this paper, we made our attempt to predict the students’ personality traits from their learning behaviors on the Blackboard system. More specifically, we tried both the classification and regression models, and evaluate them based on the same standards. Our initial experimental results discover the insights about these predictive models.
url https://www.shs-conferences.org/articles/shsconf/pdf/2020/05/shsconf_etltc2020_01003.pdf
work_keys_str_mv AT zhengyong predictingpersonalitytraitsbystudentlearningbehaviorsonblackboardsystems
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