Temporal perspective on the gender-related differences in online learning behaviour

Wang, Huanhuan; Tlili, Ahmed; Lämsä, Joni; Cai, Zhenyu; Zhong, Xiaoyu; Huang, Ronghuai

doi:10.1080/0144929x.2022.2039769

Cited by 13 publications

(9 citation statements)

References 47 publications

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“…Kerimbayev et al (2023), is engaged in the development of computational thinking in online collaborative learning using educational robotics. Wang et al (2022) examined the temporal aspect of gender differences in online learning behavior. These studies make important contributions to the understanding of various aspects of modern educational technologies and their impact on learning and teaching.…”

Section: Research Gap and Study Objectivementioning

confidence: 99%

A student-centered approach using modern technologies in distance learning: a systematic review of the literature

Kerimbayev,

Umirzakova,

Shadiev

et al. 2023

Smart Learn. Environ.

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A literature review was conducted to develop a clear understanding of the student-centered approach using modern technologies in distance learning. The study aimed to address four research questions: What research experience already exists in the field of the student-centered approach in distance learning? What modern technologies are used in distance learning, and how are they related to the student-centered approach? What are the advantages and limitations of implementing the student-centered approach and modern technologies in distance learning? What recommendations can be derived from existing research for the effective implementation of the student-centered approach and modern technologies in distance learning? The purpose of writing this review article is to provide a comprehensive overview of the student-centered approach using modern technologies in distance learning and its advantages. To conduct this review, a Web of Science and Scopus database was searched using the keywords “student-centered approach,“ “modern technologies,“ and “distance learning.“ The search was limited to articles published between 2012 and 2023. A total of 688 articles were found, which were selected based on their relevance to the topic. After the verification and selection process, 43 articles were included in this review. The main results of the review revealed that the student-centered approach to learning took various forms or was defined individually, and there were significant differences in the main research findings. The review results provide a comprehensive overview of existing studies, advantages and limitations of the student-centered approach using modern technologies in distance learning as well as examples of successful implementation in various educational institutions. The article also discusses the challenges that online and distance learning may pose to the student-centered approach, the modern technologies that support the student-centered approach, and suggests ways to overcome these challenges. The role of technology in facilitating the student-centered approach in online and distance learning is analyzed in the article, along with recommendations and best practices for its implementation. The student-centered approach is gaining increasing attention and popularity as a means to address these issues and improve the quality of online and distance learning.

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Section: Research Gap and Study Objectivementioning

confidence: 99%

A student-centered approach using modern technologies in distance learning: a systematic review of the literature

Kerimbayev,

Umirzakova,

Shadiev

et al. 2023

Smart Learn. Environ.

View full text Add to dashboard Cite

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“…It estimates the probability of a given behavior to occur, as well as its successive behavior (Bakeman and Gottman, 1997). This can help researchers examine behavior patterns (e.g., Yang et al, 2015;Kucuk and Sisman, 2017;Wang et al, 2022) and understand how a given user might behave in a given context. Therefore, LSA was used in this study to understand how learners with different personalities might behave in an online course.…”

Section: Research Gap and The Purpose Of The Studymentioning

confidence: 99%

“… Tlili et al (2021) also applied LSA to examine the behavioral pattern differences among learners from either China, Tunisia or Serbia who enrolled in an online six-week course. Wang et al (2022) further applied LSA to investigate how gender might moderate learners’ online learning behavioral patterns.…”

Section: Introductionmentioning

confidence: 99%

Impact of personality traits on learners’ navigational behavior patterns in an online course: a lag sequential analysis approach

et al. 2023

Self Cite

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Personality is considered as the internal factor that defines a person’s behavior. Therefore, providing adaptive features and personalized support in online learning by considering learners’ personalities can improve their learning experiences and outcomes. In this context, several research studies have investigated the impact of personality differences in online learning. However, little is known about how personality differences affect learners’ behavior while learning. To fill this gap, this study applies a lag sequential analysis (LSA) approach to understand learners’ navigational behavior patterns in an online three-months course of 65 learners based on their personalities. In this context, the five factor model (FFM) model was used to identify learners’ personalities. The findings revealed that learners with different personalities use different strategies to learn and navigate within the course. For instance, learners high in extraversion tend to be extrinsically motivated. They therefore significantly navigated between viewing the course module and their personal achievements. The findings of this study can contribute to the adaptive learning field by providing insights about which personalization features can help learners with different personalities. The findings can also contribute to the field of automatic modeling of personality by providing information about differences in navigational behavior based on learners’ personalities.

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“…The application of recommended learning techniques aims to help college students quickly and accurately find like-minded peers with similar interests and hobbies and provide them with corresponding course resources to enable them to obtain more learning resources within a limited time. Learning recommendation algorithm is a method of organizing and analyzing existing online resources of college students' networks to identify features related or similar to current students and convert them into corresponding information [15][16]. In this process, auxiliary methods such as "matrix" and "contingency table (including text)" can be used to describe each row, item ID (Identification) and item feature vector in R for each user input in the automatic encoder.…”

Section: Recommended Algorithm For E-learningmentioning

confidence: 99%

Current Situation Dissection and Ability Cultivation Strategies of Online Autonomous Learning for College Students

2023

aetp

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With the progress of society, college students have a strong demand for new media technologies such as the internet, digitization and information resources, which has led to the formation of autonomous learning models in the internet environment. This article aimed to study the cultivation strategies of online autonomous learning ability for college students. Through the investigation of the online learning platform, the problems existing in the current situation and their influencing factors could be understood. Then the hypothesis was verified based on the theoretical model, constructing the model for practical application effectiveness testing. Finally, based on the data results, a preliminary summary was made that the participation rate of college students in online extracurricular expansion classes was not very high, basically maintaining between 73% and 78%. However, due to the rich and diverse online courses, most students were able to actively communicate and exchange with teachers. What they need to do was how to access the internet and use online platforms to acquire and internalize knowledge. This indicated that most students have mastered the ways to acquire knowledge on online platforms and had a high level of understanding of them.

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Temporal perspective on the gender-related differences in online learning behaviour

Abstract: Temporal perspective on the gender-related differences in online learning behaviour. Behaviour and Information Technology, Early online.

Cited by 13 publications

References 47 publications

A student-centered approach using modern technologies in distance learning: a systematic review of the literature

A student-centered approach using modern technologies in distance learning: a systematic review of the literature

Impact of personality traits on learners’ navigational behavior patterns in an online course: a lag sequential analysis approach

Current Situation Dissection and Ability Cultivation Strategies of Online Autonomous Learning for College Students

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