Learner Behavior Analysis on an Online Learning Platform

Haddioui, Ismail El; Khaldi, Mohamed

doi:10.3991/ijet.v7i2.1932

Cited by 20 publications

(12 citation statements)

References 2 publications

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“…Traditionally, image emotion recognition is grounded on statistics. The traditional models rely heavily on artificial visual features, which take lots of time and labor to construct, and incur a high cost of labeling the target dataset [12][13][14][15][16]. To solve the small sample problem of image emotion recognition, Narula et al [17] formulated a two-layer transfer CNN capable of extracting universal low-level image features and high-level semantic features, and thereby effectively solved the matching errors caused by the distribution difference between regions of interest (ROIs).…”

Section: Introductionmentioning

confidence: 99%

Online Learning Behavior Analysis Based on Image Emotion Recognition

Wang¹

2021

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There are many limitations of the current online learning platforms in the monitoring of learning behaviors and the evaluation of teaching effects. For example, the platforms cannot sense and correct the changes in the learning states and emotions of the students. To overcome the limitations, this paper tries to analyze online learning behaviors based on image emotion recognition. Firstly, the flow of image emotion recognition was detailed to facilitate the analysis of online learning behaviors, and the key frames were extracted from human face images, using improved local binary pattern (LBP) and wavelet transform. Next, the authors constructed the structure for the system of online learning behavior analysis, proposed a learning emotion recognition method based on facial expressions, and established an image emotion classification model for online learning, based on the attention mechanism. Experimental results show that the proposed algorithm is effective in analyzing online learning behaviors based on image emotion recognition.

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Section: Introductionmentioning

confidence: 99%

Online Learning Behavior Analysis Based on Image Emotion Recognition

Wang¹

2021

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“…In the past, data were deduced by using a questionnaire in general to figure out the learning style of the person. Recently, however, an increasing number of studies have been carried out based on activity data of the learner [3]. This paper proposes a learning style recency-frequency-durability (LS-RFD) model to provide a teaching-learning activity according to the learning style of the learner.…”

Section: Introductionmentioning

confidence: 99%

“…The parameters for personalized service in the teaching-learning field include level of knowledge, learning objective, learning style, learning activity, motivation, and information collection by the learner [2]. Studies that utilize learning style as a parameter can be classified into questionnaire-based research and data-based studies, which use the questionnaire method and data analysis, respectively [3,4]. In the past, data were deduced by using a questionnaire in general to figure out the learning style of the person.…”

Section: Introductionmentioning

confidence: 99%

Teaching-Learning Activity Modeling Based on Data Analysis

et al. 2015

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Numerous studies are currently being carried out on personalized services based on data analysis to find and provide valuable information about information overload. Furthermore, the number of studies on data analysis of teaching-learning activities for personalized services in the field of teaching-learning is increasing, too. This paper proposes a learning style recency-frequency-durability (LS-RFD) model for quantified analysis on the level of activities of learners, to provide the elements of teaching-learning activities according to the learning style of the learner among various parameters for personalized service. This is to measure preferences as to teaching-learning activity according to recency, frequency and durability of such activities. Based on the results, user characteristics can be classified into groups for teaching-learning activity by categorizing the level of preference and activity of the learner. OPEN ACCESSSymmetry 2015, 7 207

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“…These data can be obtained by several methods, personal data are filled by asking the learner directly by a form on the platform, the learner machine information is found in the environment variables of the web server [1], the behavior is analyzed from the traces that learner leaves on the platform and also the statistics of using the pedagogical tools, domain competence can be found by comprehensive tests and learning style can be determined by a questionnaire [3].…”

Section: Introductionmentioning

confidence: 99%

“…In this case, the learner profile is considered as an essential element of a virtual learning environment to collect data required to adapt the educational content to the current needs of each learner. In our first paper, we introduced the analysis of learners' behavior on e-learning platforms and the data used for this study [1]. The second paper presented mainly the use of eye-tracking technology to track the interest and emotions of learners [2].…”

Section: Introductionmentioning

confidence: 99%

Learning Style and Behavior Analysis: A Study on the Learning Management System Manhali

Haddioui¹,

Khaldi²

2012

IJCA

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This paper presents a study performed on the Learning Management System Manhali used to analyze and evaluate the learners' online behavior. This study is addressed to first year students in computer science to study their learning style from behavior data on the e-learning platform, or from other tools to measure learning style such as the ILS questionnaire of Felder and Silverman. The paper also introduces the main components of the learner profile of our e-learning system and the method that we created to evaluate and regroup learners according to their behavior on the platform. General TermsE-Learning; learning management system; online learning platform; virtual learning environment. KeywordsLearner modeling; learner profile; learner behavior; learning style; behavioral analysis system.

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Learner Behavior Analysis on an Online Learning Platform

Cited by 20 publications

References 2 publications

Online Learning Behavior Analysis Based on Image Emotion Recognition

Online Learning Behavior Analysis Based on Image Emotion Recognition

Teaching-Learning Activity Modeling Based on Data Analysis

Learning Style and Behavior Analysis: A Study on the Learning Management System Manhali

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