Persuasive web design for online islamic education

Daud, Nor Aziah; Redzuan, Fauziah; Nasruddin, Zan Azma; Sahari, Noraidah; Muda, Zurina

doi:10.1109/iceei.2017.8312455

Cited by 4 publications

(6 citation statements)

References 12 publications

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“…Persuasive strategies Techniques implemented in the development of the study to influence the user. [10,11,15,[20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35] Susceptibility Probability that a user will produce a positive response to a persuasive strategy. [11,21,26] Personalized persuasion Development of the study with the strategies to which potential users are susceptible.…”

Section: Characteristic Description Studymentioning

confidence: 99%

“…Elements of the environment considered for the development of the study. [23,25,29] Student areas Elements or attributes of the student taken into account for the development of the study. [21,22,24,25,30,32,35] Theories Principles or knowledge other than persuasion taken into account for the development of the study.…”

Section: Contextmentioning

confidence: 99%

“…The persuasive event refers to the usage context, user context (goals, motivations, lifestyle, among others), and the technology context (Figure 3). In [23,25,29], they focused on aspects of the PESs' context due to the importance of context in the design of persuasive interventions. In [29], they studied persuasion strategies suitable for implementation in Islamic education.…”

Section: The Contextmentioning

confidence: 99%

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Characteristics of a Persuasive Educational System: A Systematic Literature Review

et al. 2021

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The need to compete for users’ attention and provide them with the best user experience has increased the use of persuasion strategies in modern systems. Currently, Persuasive Systems (PSs) promote healthy behavior for well-being, energy consumption, and learning. Although the educational domain has limited investigation compared to other areas, PSs in education have been shown to be effective in motivating students. This paper summarizes the existing evidence on Persuasive Educational Systems (PESs), emphasizing research on the current design methods, evaluation methods, and characteristics. We follow Kitchenham’s method to perform a systematic literature review about PESs published between 2014 and 2020, with 19 relevant studies selected. We highlight some results from the analysis of selected papers such as persuasion strategies, use of a personalized persuasion technique, study of students’ susceptibility to strategies, integration of gamification mechanisms, and proposed tools to design PES. Moreover, we discuss interesting facts such as the common practice of using more than one tool to design PES, aspects of interaction, persuasion, learning, and the challenges in evaluating persuasive impact. Finally, as the main contribution of the paper we identify the seven necessary characteristics to build a persuasive educational system.

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Section: Characteristic Description Studymentioning

confidence: 99%

Section: Contextmentioning

confidence: 99%

Section: The Contextmentioning

confidence: 99%

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Characteristics of a Persuasive Educational System: A Systematic Literature Review

et al. 2021

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“…Online learning is a learning model that has become increasingly in demand among various groups of learners. On the same note, most researchers are currently focusing on finding the best means and approaches of online learning that fit in the continuous developments of the 4IR such as the strategies utilized by students when conducting online discussion [3] the use of various interface to enhance and encourage online learning [4], [5], or the production of expressive web designs [6]. The escalating popularity of e-learning has instigated various challenges for higher learning institutions to provide massive educational resources and the dire need to search for relevant learning references.…”

Section: Introductionmentioning

confidence: 99%

A User-Item Collaborative Filtering System to Predict Online Learning Outcome

Murad¹,

Hassan²,

Wahi³

et al. 2020

Adv. sci. technol. eng. syst. j.

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Education has seen the rapid development of online learning. Many researchers have conducted studies on the use of recommendation systems in online learning. However, until now, several similar studies still focus on the accuracy of the prediction results. Various obstacles were encountered related to changes in the face to face learning process into online learning. This study uses the User-Item Collaborative Filtering method to predict student learning outcomes as a basis for providing recommendations to students. Data on student online learning outcomes were extracted using several methods as a basis for determining and assessing their learning outcomes. The dataset we use is dummy to match the original data. The findings of this study reveal that one of the reinforcing factors that affect student achievement in online learning is the quiz score. The students' high achievement in the quizzes was also balanced by their active involvement during the learning process. Based on the evaluation of the recommendation system, it is known that the gradient boosted tree model is the best model for predicting the final score of student online learning with an accuracy calculated using the highest correlation of 0.7 and the smallest absolute error of 13.0 and root mean square error of 17.9. Based on the results of the evaluation, this study provides recommendations in the form of material links and learning archives that are useful for students to be able to carry out independent learning.

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“…Muslim must continuously learn Islamic knowledge because it is compulsory for a Muslim and to attain success in this life and hereafter. The Islamic websites lack of valid references and the layout is usually difficult to explore [4]. Due to that reason, online Islamic knowledge is refused to be used as reference causing the acceptance rate for the online learning method to be low.…”

Section: Introductionmentioning

confidence: 99%

Identification of persuasive elements in Islamic knowledge website using Kansei engineering

et al. 2019

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The global explosions of the internet and direct use by individuals, organizations and Islamic scholars to spread the knowledge and events have witnessed massive growth over the years. The users refuse to use online Islamic websites as references which causes the acceptance rate of the online learning method still low. This paper presents the identifications of persuasive elements in Islamic knowledge website. The objective of this study is to identify the persuasive element using Kansei Engineering (KE) method for online Islamic knowledge website design. Therefore, Kansei words related to online Islamic knowledge were identified. After that, the Kansei words (KWs) were evaluated in order to be used as persuasive elements. Ten specimens of Islamic websites were chosen and evaluated with 30 emotions of KWs. 38 students from one of the public universities accomplished the evaluation experiment. The gathered KWs were then analyzed using multivariate analysis such as Factor Analysis to identify the persuasive elements. Based on Factor Analysis, the finding of this research revealed four main pillars which are credibility-motivated, reliability, Islamic identity and functional. The two additional pillars are updated and belief. The pillars were then compared with the persuasive elements in the previous research. Although there are some limitations and constraint during the conduct of the research, this study also contributes to the design persuasive elements for Islamic website knowledge in the future.

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Persuasive web design for online islamic education

Cited by 4 publications

References 12 publications

Characteristics of a Persuasive Educational System: A Systematic Literature Review

Characteristics of a Persuasive Educational System: A Systematic Literature Review

A User-Item Collaborative Filtering System to Predict Online Learning Outcome

Identification of persuasive elements in Islamic knowledge website using Kansei engineering

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