Online chat and chatbots to enhance mature student engagement in higher education

Abbas, Noorhan; Whitfield, Jenni; Atwell, Eric; Bowman, Helen; Pickard, Thomas; Walker, Aisha

doi:10.1080/02601370.2022.2066213

Cited by 54 publications

(29 citation statements)

References 44 publications

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“…Moreover, Zahour et al [2] used a DialogueFlow tool for developing a chatbot for guiding the undergraduate and graduate students to enter the job market by applying the John Holland theory for determining the dominant type of personality. Similarly, Abbas et al [19] established a chat platform for encouraging the online engagement between students during the academic year 2021/2022 at the University of Leeds, and the results show a positive impact in students' reactions, as freshman students are more comfortable asking questions due to needing more guidance during the first year. In addition, some colleges adopted a chatbot for relieving stress and improving the student life by using a chatbot counselling system, which can provide different psychological services through Q&A system [20].…”

Section: Chatbot For Advising Studentsmentioning

confidence: 96%

A Chatbot Intent Classifier for Supporting High School Students

Assayed

Shaalan

Alkhatib

2022

EAI Endorsed Scal Inf Syst

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INTRODUCTION: An intent classification is a challenged task in Natural Language Processing (NLP) as we are asking the machine to understand our language by categorizing the users’ requests. As a result, the intent classification plays an essential role in having a chatbot conversation that understand students’ requests. OBJECTIVES: In this study, we developed a novel chatbot called “HSchatbot” for predicting the intent classifications from high school students’ enquiries. Evidently, students in high schools are the most concerned among all students about their future; thus, in this stage they need an instant support in order to prepare them to take the right decision for their career choice. METHODS: The authors in this study used the Multinomial Naive-Bayes and Random Forest classifiers for predicting the students’ enquiries, which in turn improved the performance of the classifiers by using the feature’s extractions. RESULTS: The results show that the random forest classifier performed better than Multinomial Naive-Bayes since the performance of this model is checked by using different metrics like accuracy, precision, recall and F1 score. Moreover, all showed high accuracy scores exceeding 90% in all metrics. However, the accuracy of Multinomial Naive-Bayes classifier performed much better when using CountVectorizers compared to using the TF-IDF. CONCLUSION: In the future work, the results will be analysed and investigated in order to figure out the main factors that affect the performance of Multinomial Naive-Bayes classifier, as well as evaluating the model with using a large corpus of students’ questions and enquiries.

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Section: Chatbot For Advising Studentsmentioning

confidence: 96%

A Chatbot Intent Classifier for Supporting High School Students

Assayed

Shaalan

Alkhatib

2022

EAI Endorsed Scal Inf Syst

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“…This can help to increase student autonomy and ownership of their learning. Furthermore, chatbots can enhance student engagement and motivation (Abbas et al, 2022;Essel et al, 2022). Chatbots can be designed to be engaging and interactive, which can help to increase student motivation and engagement in the learning process.…”

Section: Step Descriptionmentioning

confidence: 99%

“…Chatbots are computer programs that are designed to simulate human conversation. Research on the use of chatbots in education has primarily focused on their use in traditional classroom settings, with studies showing that chatbots can improve student engagement and learning outcomes (Abbas et al, 2022;Hew et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Chatbots and Flipped Learning: Enhancing Student Engagement and Learning Outcomes through Personalised Support and Collaboration

Baskara

2023

IJORER Int. J. Recent Educ. Res.

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Objective: This paper explored the relationship between chatbots and flipped learning in an educational setting. It also identifies the benefits and drawbacks of using chatbots in a flipped learning context and the ethical and privacy concerns related to their use. Method: The study utilized a theoretical analysis approach, which included a comprehensive review of relevant literature from Scopus and World of Science databases. The data collected from the literature review was analyzed using a qualitative approach. Results: The study found that chatbots can potentially enhance student engagement and learning outcomes in a flipped learning context by providing personalized support, facilitating group discussions and collaborations, providing feedback and assessment on student work, supporting self-directed learning, and enhancing student engagement and motivation. However, using chatbots in a flipped learning context also raises ethical and privacy concerns, including data privacy, data security, and student anonymity. Novelty: Contributes to the existing research on using chatbots in education by providing insights into the potential benefits and drawbacks of using chatbots in a flipped learning context. The study highlights the importance of considering the ethical and privacy concerns and the future potential of chatbots in a flipped learning context and proposes future research directions.

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“…Gan et al and Ang et al also investigated the characteristics of various participants and then identified the design considerations enabling them to make efficient video calls [21], [44]. Several researchers mentioned that chatting, chatbots, and virtual avatars help make the participants feel connected in video-based communication [5], [20], [47]. Moreover, Wen et al mentioned that using games as a communication tool in online conversations helps family members to increase social presence [53].…”

Section: B Video-mediated Communication and Interactionmentioning

confidence: 99%

“…However, currently available online platforms utilize existing video call systems such as KakaoTalk, 1 Line, 2 and Vlive. 3 Furthermore, online platforms such as Talkport 4 and Withlive 5 applications dedicated to online meet-and-greet events have been developed, but there are limitations in reproducing the unique context of the existing meet-and-greet. Particulary, their main purpose is to efficiently operate the communication time between fans and idols and they do not accurately depict the overall context and detailed characteristics that fans experience in these situations.…”

Section: Introductionmentioning

confidence: 99%

FlumeRide: Interactive Space Where Artists and Fans Meet-and-Greet Using Video Calls

Kim

Choi

et al. 2023

IEEE Access

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Recently, artists and fans meet more often online owing to the COVID-19 pandemic. Therefore, fans need to engage closely with artists and enjoy rich content. FlumeRide is a mobile application that helps artists and fans meet and greet through video calls. Beyond simply connecting the two, it provides detailed features similar to that fans experience in face-to-face meetings. We first investigated the overall contexts and challenges faced by fans during online meet-and-greets and derived the design elements. Then, we designed and implemented a system that supports various communications and contents in situations before, during, and after the conversation between fans and artists. FlumeRide incorporates various features to support communications in highly immersive and efficient ways, such as chat, video calls, streaming, and recordings. Our user study results demonstrate that FlumeRide enables fans to have private video calls with artists and experience rich interactions. Artists-fans interaction, meet-and-greet, video-mediated communication, K-pop. INDEX TERMS

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Online chat and chatbots to enhance mature student engagement in higher education

Cited by 54 publications

References 44 publications

A Chatbot Intent Classifier for Supporting High School Students

A Chatbot Intent Classifier for Supporting High School Students

Chatbots and Flipped Learning: Enhancing Student Engagement and Learning Outcomes through Personalised Support and Collaboration

FlumeRide: Interactive Space Where Artists and Fans Meet-and-Greet Using Video Calls

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