Tutorbot: A Chatbot for Higher Education Practice

Sjöström, Jonas; Dahlin, Maritha

doi:10.1007/978-3-030-64823-7_10

Cited by 10 publications

(13 citation statements)

References 16 publications

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“…Despite its (arguably) successful implementation in different higher education institutions, over all in the fringes of educational activity, not in the actual studentteacher interaction, its implementation or deployment is not trivial. Some authors, for instance [Sjöström et al, 2018] have proposed a conceptual architecture for the adoption of teaching-oriented chatbots in higher education. This conceptual architecture is based on a systematic literature review of previous studies, examining the design of chatbots in higher education, as well as making a content analysis of student emails and discussion forum posts of four instances of a Java programming course.…”

Section: State Of the Artmentioning

confidence: 99%

“…Facebook Messenger) which was confirmed with [Hobert, 2019] and [Fernoagȃ et al, 2018] studies. In addition, [Sjöström et al, 2018] argued that a conceptualisation of learners' questions could aid designers in integrating the appropriate types of questions that the chatbots should support for different courses. Some other authors, like [Coronado et al, 2018], proposed agents that store learning materials to be provided on demand to students, whereas the authors in [Crockett et al, 2017] reported on tutoring systems, which can perform initial assessments of students' understanding and provide learning material that would advance their understanding to the next level.…”

Section: State Of the Artmentioning

confidence: 99%

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Chatbots and messaging platforms in the classroom: an analysis from the teacher's perspective

J.¹,

Castillo²,

Mora³

et al. 2022

Preprint

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Introducing new technologies such as messaging platforms, and the chatbots attached to them, in higher education, is rapidly growing. This introduction entails a careful consideration of the potential opportunities and/or challenges of adopting these tools. Hence, a thorough examination of the teachers' experiences in this discipline can shed light on the effective ways of enhancing students' learning and boosting their progress. In this contribution, we have surveyed the opinions of tertiary education teachers based in Spain (mainly) and Spanish-speaking countries. The focus of these surveys is to collect teachers' feedback about their opinions regarding the introduction of the messaging platforms and chatbots in their classes, understand their needs and to gather information about the various educational use cases where these tools are valuable. In addition, an analysis of how and when teachers' opinions towards the use of these tools can vary across gender, experience, and their discipline of specialisation is presented. The key findings of this study highlight the factors that can contribute to the advancement of the adoption of messaging platforms and chatbots in higher education institutions to achieve the desired learning outcomes.

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Section: State Of the Artmentioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

Chatbots and messaging platforms in the classroom: an analysis from the teacher's perspective

J.¹,

Castillo²,

Mora³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…SLC is also based on models of organizational research. In particular, theories of stakeholders and strategic management theories [26,27], process-structured organizational systems, and functions of service and customer relations of a HEI are used [28,29]. All relevant tasks and areas of students, lecturers, and HEI administrations in connection with courses are part of the SLC [15].…”

Section: Student Life Cyclementioning

confidence: 99%

“…Scheduling is a function frequently found in the literature that supports students in organizing their individual daily routine of seminars and examinations [26,60,61]. Furthermore, Suvethan et al [62] pursued the goal of supporting students with FAQ on administrative issues in 1 st level support and also to provide them with a human advisor (2 nd and 3 rd level support).…”

Section: During University Studymentioning

confidence: 99%

Individual Digital Study Assistant for Higher Education Institutions: Status Quo Analysis and Further Research Agenda

Karrenbauer

König

Breitner

2021

Lecture Notes in Information Systems and Organisation

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Today, digital assistants can support students during their studies. A quick and easily useable and accessible information transfer, individually tailored to the students' needs is required. Individual educational biographies and an increasing number of students require individual information provision and advice. Research on digital assistance systems has increased dramatically over the past decade. We focus on the individual digital study assistant (IDSA) field with its functionalities embedded in a typical student life cycle (SLC). In order to determine the status quo of DSA, we conduct a literature review with a focus on their functionalities. One research finding indicates that the DSA field generates a wide range of DSA functionalities. We structured them developing a morphological box. Finally, we discuss a further research agenda for the development, adaption, introduction, and success of IDSA.

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“…Although Chatbot technology has matured over time, it is still necessary to investigate how to add value appropriately to the different ways of using the technology to solve problems [6]. Currently, Chatbots are mainly used for customer services, online purchases, payment management, information delivery, personal assistance, entertainment, and e-commerce [7][8][9] [10].…”

Section: Introductionmentioning

confidence: 99%

Tashi-Bot: A Intelligent Personal Assistant for Users in an Educational Institution

Carlos¹,

German²,

Salcedo³

2021

Preprint

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The number of AI applications in education is growing every day. One recent AI application in the educational sector is Chatbot technology, which is used to support teaching and administrative tasks. This document presents the design and implementation of a Chatbot called Tashi-Bot that helps applicants and university students to obtain information from an educational institution about certain academic and administrative processes. Among these are processes related to well-being, tuition, costs, admission, and other services. In order to design the Chatbot, an analysis of the state of the art, methodologies, and suitable tools was carried out, and a survey was conducted to discover the needs of users and their preferences in the use of a Chatbot for this specific purpose. Tashi-Bot was implemented on the SnatchBot platform and later deployed on a Telegram channel. In its evaluation, a final survey was carried out to check on the satisfaction of the users. The results suggest that Tashi-Bot could help applicants and university students to find information on academic and administrative processes with great certainty and without the need for human interaction. Tashi-Bot can be found at: https://web.telegram.org/#/im?p=@TashiE_Bot..

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Tutorbot: A Chatbot for Higher Education Practice

Cited by 10 publications

References 16 publications

Chatbots and messaging platforms in the classroom: an analysis from the teacher's perspective

Chatbots and messaging platforms in the classroom: an analysis from the teacher's perspective

Individual Digital Study Assistant for Higher Education Institutions: Status Quo Analysis and Further Research Agenda

Tashi-Bot: A Intelligent Personal Assistant for Users in an Educational Institution

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