scholarly journals Modeling of Students Online Social Presence on Social Networking Sites and Academic Performance

2020 ◽  
Vol 15 (12) ◽  
pp. 56
Author(s):  
Yahya M. Al-dheleai ◽  
Zaidatun Tasir ◽  
Waleed Mugahed Al-Rahmi ◽  
Mohammed A. Al-Sharafi ◽  
Alamin Mydin
Keyword(s):  
Academic Performance ◽  
Social Networking ◽  
Social Presence ◽  
Social Networking Sites ◽  
Development Process ◽  
Learning Experience ◽  
Model Development ◽  
Instructional Designers ◽  
Vital Component ◽  
Model Development Process

Social Presence is a vital component of learning experience. This study develops a predictive model of students’ online social presence on social networking sites “SNS”. This study used SmartPLS software in the model development process. The study explored five facets of SP and its relationship with students’ academic performance. The model is based on the survey data that collected from 181 post-graduate students in one of Malaysian public universities. The findings of this study showed that there is a significant relationship between all five facets of online social presence and students’ academic performance. SNS is appropriate tools that supports students’ sense of social presence which contributes to better learning and academic performance. Consequently, the developed model can be used by instructional designers, instructors, and researchers to measure students’ online social presence and its effect on students’ academic performance.

scholarly journals A Survey of Domain Knowledge Elicitation in Applied Machine Learning

2021 ◽  
Vol 5 (12) ◽  
pp. 73
Author(s):  
Daniel Kerrigan ◽  
Jessica Hullman ◽  
Enrico Bertini
Keyword(s):  
Machine Learning ◽  
Domain Knowledge ◽  
Development Process ◽  
Model Development ◽  
Knowledge Elicitation ◽  
Future Directions ◽  
Domain Experts ◽  
Applied Machine Learning ◽  
Elicitation Process ◽  
Model Development Process

Eliciting knowledge from domain experts can play an important role throughout the machine learning process, from correctly specifying the task to evaluating model results. However, knowledge elicitation is also fraught with challenges. In this work, we consider why and how machine learning researchers elicit knowledge from experts in the model development process. We develop a taxonomy to characterize elicitation approaches according to the elicitation goal, elicitation target, elicitation process, and use of elicited knowledge. We analyze the elicitation trends observed in 28 papers with this taxonomy and identify opportunities for adding rigor to these elicitation approaches. We suggest future directions for research in elicitation for machine learning by highlighting avenues for further exploration and drawing on what we can learn from elicitation research in other fields.

scholarly journals Strategic Business Model Development in Ecosystems

2021 ◽  
Author(s):  
◽  
Dominik Mann
Keyword(s):  
Business Model ◽  
Development Process ◽  
Business Models ◽  
Model Development ◽  
Entrepreneurial Ventures ◽  
And Performance ◽  
Integration Strategies ◽  
Model Components ◽  
Business Model Development ◽  
Model Development Process

<p>Designing and strategically developing viable business models is vital for value creation and capture and in turn for the survival and performance of entrepreneurial ventures. However, the widely held firm-centric and static business model perspective appears inadequate to reflect the realities of increasingly blurred industry boundaries, interconnected economies, and the resulting collapse of incumbent value chains. This PhD thesis adds understanding of the dynamic business model development process from an ecosystem perspective. The evolution of ten entrepreneurial ventures’ business models was documented and investigated through longitudinal in-depth case studies over twelve months. Analysing and comparing the cases revealed strategies that resulted in the development of effective interactive structures and robust value co-creation and capture mechanisms. The development of interactive structures, i.e. firm-ecosystem fits, was either supported by a focused or diversified ecosystem integration approach underpinned by heterogeneous interdependencies of value proposition and business model components across ecosystems. The obtained insights allowed the derivation of sets of capabilities that supported the business model development process and enhanced entrepreneurial ventures’ chances of survival. The findings have several implications for advancements of the business model theory. In particular they indicate what integration strategies can inform entrepreneurs’ and managers’ business model design and execution strategies for operating in increasingly complex ecosystems.</p>

scholarly journals Online social networks as formal learning environments: Learner experiences and activities

2012 ◽  
Vol 13 (1) ◽  
pp. 144 ◽  
Author(s):  
George Veletsianos ◽  
Cesar Navarrete
Keyword(s):  
Social Network ◽  
Social Networking ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
Learning Experience ◽  
Online Social Network ◽  
Online Course ◽  
Formal Learning ◽  
The Social

<p>While the potential of social networking sites to contribute to educational endeavors is highlighted by researchers and practitioners alike, empirical evidence on the use of such sites for formal online learning is scant. To fill this gap in the literature, we present a case study of learners’ perspectives and experiences in an online course taught using the Elgg online social network. Findings from this study indicate that learners enjoyed and appreciated both the social learning experience afforded by the online social network and supported one another in their learning, enhancing their own and other students’ experiences. Conversely, results also indicate that students limited their participation to course-related and graded activities, exhibiting little use of social networking and sharing. Additionally, learners needed support in managing the expanded amount of information available to them and devised strategies and “workarounds” to manage their time and participation.<br /><strong></strong></p>

The Role of Students' Personality Traits in the Effective Use of Social Networking Sites in the Educational Context

2016 ◽  
pp. 1205-1224
Author(s):  
Josip Burusic ◽  
Mia Karabegovic
Keyword(s):  
Academic Achievement ◽  
Academic Performance ◽  
Social Networking ◽  
Social Networking Sites ◽  
Short Review ◽  
Educational Context ◽  
Personality Psychology ◽  
Positive Attitudes ◽  
Effective Use

By critically reviewing the theory and previous research in the domains of education, personality psychology, and Social Networking Sites (SNS), this chapter investigates the implications of educational SNS use for students with different personality structures. Conscientiousness is shown to be crucial for academic performance, with indications that neuroticism, agreeableness, and openness are important as well. With regard to SNS use in schools, the authors give a short review of the existing studies, which yielded contradictory findings when it comes to SNS's effect on academic achievement, but are fairly in agreement about students' positive attitudes toward their use in schools. As the main purpose, the authors present personality-related findings and make predictions about the benefits of educational SNS use for introverted and highly neurotic students and those with low self-esteem. They conclude that introducing SNS into the educational context would be valuable for all students, especially with regard to giving them equal chances in realizing their potential.

Exposing System and Model Disparity and Agreement Using Wavelets

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Andrew D. Atkinson ◽  
Raymond R. Hill ◽  
Joseph J. Pignatiello ◽  
G. Geoffrey Vining ◽  
Edward D. White ◽  
...  
Keyword(s):  
Development Process ◽  
Model Development ◽  
Model Verification ◽  
Verification And Validation ◽  
High Dimensional ◽  
Model Data ◽  
Accurate Representation ◽  
Model Verification And Validation ◽  
Model Development Process ◽  
Functional Output

Model verification and validation (V&V) remain a critical step in the simulation model development process. A model requires verification to ensure that it has been correctly transitioned from a conceptual form to a computerized form. A model also requires validation to substantiate the accurate representation of the system it is meant to simulate. Validation assessments are complex when the system and model both generate high-dimensional functional output. To handle this complexity, this paper reviews several wavelet-based approaches for assessing models of this type and introduces a new concept for highlighting the areas of contrast and congruity between system and model data. This concept identifies individual wavelet coefficients that correspond to the areas of discrepancy between the system and model.

Impact of Social Networking Sites on Student Academic Performance

2016 ◽  
Vol 18 (2) ◽  
pp. 35-50 ◽  
Author(s):  
Youssef Harrath ◽  
Hadeel Alobaidy
Keyword(s):  
Social Sciences ◽  
Academic Performance ◽  
Social Networking ◽  
Social Networking Sites ◽  
Online Survey ◽  
Teaching Methodology ◽  
Student Academic Performance ◽  
Negative Impacts ◽  
University Of Bahrain ◽  
The Impact

The purpose of this research is to study the impact of Social Networking Sites on student academic performance. An online survey was conducted and 628 students of University of Bahrain replied. This research studies and explores the relationships between the use of SNS and students' academic performance. The survey questions (21) were grouped into 8 variables that identify the interest that the students draw from SNS. Furthermore, these variables aim to show the effects of SNS on students' academic performance and the futuristic online and offline paradigms that can enhance teaching methodology. The Statistical Package for Social Sciences (SPSS) was used to analyse the collected data and find correlations between SNS and the students' academic performance. From this research it was found that the SNS have positive and negative impacts on student academic performance. At the end, the authors came up with fruitful recommendations on how to get benefit from the SNS to improve the learning process.

User-Friendly Security Patterns for Designing Social Network Websites

2017 ◽  
Vol 13 (1) ◽  
pp. 39-60 ◽  
Author(s):  
Khalid Alemerien
Keyword(s):  
Social Network ◽  
Social Networking ◽  
User Interfaces ◽  
Social Networking Sites ◽  
Development Process ◽  
Graphical User Interfaces ◽  
Security And Privacy ◽  
Privacy And Security ◽  
Security Patterns ◽  
User Friendly

The number of users in Social Networking Sites (SNSs) is increasing exponentially. As a result, several security and privacy problems in SNSs have appeared. Part of these problems is caused by insecure Graphical User Interfaces (GUIs). Therefore, the developers of SNSs should take into account the balance between security and usability aspects during the development process. This paper proposes a set of user-friendly security patterns to help SNS developers to design interactive environments which protect the privacy and security of individuals while being highly user friendly. The authors proposed four patterns and evaluated them against the Facebook interfaces. The authors found that participants accepted the interfaces constructed through the proposed patterns more willingly than the Facebook interfaces.

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