Personalization of Automatic E-mail Response for the University System

Srivastava, Mayur; Goyal, Mukta

doi:10.1049/cp.2013.2362

Cited by 4 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, the system personalizes emails depending on the user's requirement by arranging the respective emails according to their feedback through using natural language processing and content extraction. The software proposed have not only personalized and synchronized technique but also create an automatic constant reply [14]. Karthik and Ponnusamy, attempted to identify student and parent emails for educational institutions system by expressing their emotions through a unique method.…”

Section: Literature Reviewmentioning

confidence: 99%

Personalizing University Email toward User Acceptance: An Initial Study

Alwagadani¹,

Alomar²

2017

IJCA

View full text Add to dashboard Cite

The purpose of this paper is to examine students and faculty members commitment of using university email in Saudi Arabia, using online survey at King Abdulaziz University. The paper describes an initial study conducted before the development of an experimental personalized email platform to investigate these issues. The survey targets 1847 students (1359 female and 488 male), and 101 faculty members (58 female, and 43 male). The results show that only 23% of students are using the university email to communicate regularly, unlike the faculty members who shows 80% commitment. Furthermore, the evidence from this study suggests that applying personalized techniques has a strong and positive impact on both types of respondents, and considered as a clue for a potential system improvement to increase users' commitment of the university email.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Personalizing University Email toward User Acceptance: An Initial Study

Alwagadani¹,

Alomar²

2017

IJCA

View full text Add to dashboard Cite

show abstract

“…Several types of adaptations (Soflano, Connolly, & Hainey, 2015) (Connolly & Stansfield, 2006) (Sabourin & Lester, 2014) (Federico, 2000) (Graf & Kinshuk, 2007) (Nigel & Chen, 2000) (Burgos, Tattersall, & Koper, 2007) (Akbulut & Cardak, 2012) are considered as essential techniques in personalized systems: adaptive, which change the interface content and layout; adaptable, which allow users to adjust the interface according to their need; and mixed approach, which combine these two conditions. Other study (Srivastava & Goyal, 2013) claimed that many available university systems are complex and fail to preserve a high standard in terms of their interface and functionalities. A large volume of websites and web applications are available for different users.…”

Section: Introductionmentioning

confidence: 99%

Increasing Student Engagement with Personalized Emails

Alwagdani¹,

Alomar²

2020

CIS

View full text Add to dashboard Cite

Despite a large number of studies in personalizing e-learning systems, only a few sufficiently cover the impact of personalization on university emails. Either universities impose the use of university email or students are reluctant to use it. For instance, It was found that at King Abdulaziz University only 23% of students were using the university email to communicate regularly, unlike the faculty members, who showed an 80% commitment. However, this paper attempts to investigate the effect of applying different personalized systems on the university email and whether using adaptation and adaptability techniques in the university email will cover the huge gap between the university and its members. Specifically, frameworks were built to evaluate the efficiency, frequency of error occurrence, effectiveness, and user satisfaction in each experiment. We focused on testing the usability of personalized email against the existing university email and then evaluate which approach (adaptive, adaptable, or mixed-initiative) is more favorable to personalize the university email. These were conducted and evaluated using 40 subjects. Interestingly, results show that subjects with personalized emails were most efficient and satisfied as well as errors were reduced by 42%. Furthermore, significant differences were found between the three approaches (adaptive, adaptable, and mixed-initiative), and the adaptive approach was the most preferred by the respondents. A set of empirically derived guidelines was also discussed as a basis for developing a suitable university email structure.

show abstract

Automatic Email Response System in E-learning

Mittal

Ramamurthy

2016

Proceedings of the International Conference on Advances in Information Communication Technology &Amp; Computing - AICTC '16

View full text Add to dashboard Cite

Personalization of Automatic E-mail Response for the University System

Cited by 4 publications

References 0 publications

Personalizing University Email toward User Acceptance: An Initial Study

Personalizing University Email toward User Acceptance: An Initial Study

Increasing Student Engagement with Personalized Emails

Automatic Email Response System in E-learning

Contact Info

Product

Resources

About