The role of learning analytics in networking for business and leisure: A study of culture and gender differences in social platform users

Benson, Vladlena; Filippaios, Fragkiskos

doi:10.1016/j.chb.2018.02.027

Cited by 10 publications

(6 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…After analyzing the 15 studies using Discourse Textual Analysis (DTA) [Moraes and Galiazzi, 2007], nine topics emerged from the studies and some have sub-topics (table 3). [Benson and Filippaios, 2019] Regarding the algorithm bias topic, Knox (2017) considered that culture is not only embedded in learning analytics systems but is also reshaped through the power of its algorithms. In this sense, the author developed a project that considered student participation and choice in the learning analytics process as an attempt to foster critical awareness of data capture and analysis.…”

Section: Use Of Critical Lens In Lamentioning

confidence: 99%

See 1 more Smart Citation

Critical Lens in Learning Analytics Research: A Systematic Literature Review

Moraes¹,

Folkestad²,

Birmingham³

2019

Anais Do XXX Simpósio Brasileiro De Informática Na Educação (SBIE 2019)

View full text Add to dashboard Cite

This paper describes a systematic literature review that aims to answer the following research question: How has critical theory been used in learning analytics research? Nine previous literature review and fifteen studies were analyzed. Results showed that none of the previous literature reviews considered critical theory as a component of their analyzes and the topics of algorithm bias, ethics, justice and prediction are among the most studied on works that used Critical lens in Learning Analytics. Considerations are drawn to support future works that promotes the use of Critical lens in Learning Analytics and in the design of adaptive systems for learning and teaching.

show abstract

Section: Use Of Critical Lens In Lamentioning

confidence: 99%

“…Authors found that region, neighborhood poverty level, and prior education are strong predictors of overall learning outcomes. Benson and Filippaios (2019) used culture (nationality) and gender as variables to predict user engagement in social networking sited.…”

Section: Use Of Critical Lens In Lamentioning

confidence: 99%

Critical Lens in Learning Analytics Research: A Systematic Literature Review

Moraes¹,

Folkestad²,

Birmingham³

2019

Anais Do XXX Simpósio Brasileiro De Informática Na Educação (SBIE 2019)

View full text Add to dashboard Cite

show abstract

“…While in the process of improving themselves to face the global market, the SME is faced with the Covid-19 pandemic situation which of course makes it more difficult to move causing a significant decline in growth and development [5]. One solution in the context of recovering conditions and business sustainability is to strengthen collaboration between SMEs [5] where collaboration allows SMEs to carry out positive activities such as exchanging information and business cooperation in order to strengthen each other [6], [7]. However, the current implementation of SME collaboration still tends to be weak due to the lack of motivation to collaborate and lack of awareness of collaboration [5].…”

Section: Introductionmentioning

confidence: 99%

“…Meanwhile, SMEs cannot be separated from the influence of local wisdom as one of the roots of thought and behavior. Local wisdom that applies in the community is proven to affect the mindset of each individual [6], [1], [7]. Among the prevailing local wisdom, there is "Silaturrahmi" which has the principle of establishing closeness with other people [13], [14], [15].…”

Section: Introductionmentioning

confidence: 99%

The Rank of Silaturrahmi-Assimilated Collaboration Parameter Based on Core Drive Using Octalysis Gamification Framework and Fuzzy AHP

Marisa¹,

Ahmad²,

Yusoh³

et al. 2021

TEM Journal

View full text Add to dashboard Cite

This study aims to build SME collaboration parameters from the assimilation of the "silaturrahmi" culture that considers user motivation in collaborating. Parameter validation involves linear regression statistical methods, followed by determining the ranking of collaboration parameters using a combination model of Octalysis and Fuzzy AHP frameworks. The test resulted in 4 collaboration parameters from the assimilation of "Silaturrahmi" ranked based on the user's level of motivation (core drive) with details: Relationship Building-RB (52.86%), Reciprocal Sustainment-RS (25.44%), Reciprocal Assistant-RA (21.77%) and Active Support- US (0.83%). It can be concluded that the four parameters potentially measure the performance of SME collaboration. The combination model can determine the user's motivation (core drive) for collaboration through these parameters. The ranking results serve as a reference for developing a collaborative framework by prioritizing activities related to the highest weight percentage parameters and evaluating the lowest weight percentage.

show abstract

“…The flourishing of SNSs comes essentially from users' frequent information disclosure and opinion sharing (Chen and Sharma, 2013; Cheung et al , 2015; Kwak et al , 2014). These SNSs have offered more chances for many businesses to generate substantial commercial benefits through active user participation (Benson and Filippaios, 2019; Kaplan and Haenlein, 2010; Krasnova et al , 2010). Several potential business benefits may be derived from users who actively provide their personal information on SNSs (Laroche et al , 2012; Liu and Bakici, 2019; Muniz and O'Guinn, 2001).…”

Section: Introductionmentioning

confidence: 99%

They support, so we talk: the effects of other users on self-disclosure on social networking sites

Lin

Chou²,

Huang

2020

ITP

View full text Add to dashboard Cite

PurposeSocial networking sites (SNSs) have significantly influenced people's lives and changed their behavior. Although previous research has explored self-disclosure in virtual communities, little is known about the impact of other users, particularly their online social support, on self-disclosure. The aim of this study is to explore how online social support dimensions (i.e., emotional, informational, esteem, instrumental and network support) influence people's self-disclosure, which in turn affects their commitment to SNSs.Design/methodology/approachBased on social exchange theory, this study proposes a research model that explores the role of other users on self-disclosure. This study collects data from a sample of 558 respondents and applies the structural equation modeling technique to test the research model.FindingsThe findings show that users are motivated to disclose information and commit to a specific SNS because of the supportive climate. Results also show that self-disclosure mediates the effect of online social support on users' commitment to SNSs.Originality/valueThis study focuses on the influence of other users' roles on self-disclosure on SNSs, extending the application of social exchange theory.

show abstract

The role of learning analytics in networking for business and leisure: A study of culture and gender differences in social platform users

Abstract: The version in the Kent Academic Repository may differ from the final published version. Users are advised to check http://kar.kent.ac.uk for the status of the paper. Users should always cite the published version of record.

Cited by 10 publications

References 29 publications

Critical Lens in Learning Analytics Research: A Systematic Literature Review

Critical Lens in Learning Analytics Research: A Systematic Literature Review

The Rank of Silaturrahmi-Assimilated Collaboration Parameter Based on Core Drive Using Octalysis Gamification Framework and Fuzzy AHP

They support, so we talk: the effects of other users on self-disclosure on social networking sites

Contact Info

Product

Resources

About