The introduction of Artificial Intelligence technology enables the integration of Chatbot systems into various aspects of education. This technology is increasingly being used for educational purposes. Chatbot technology has the potential to provide quick and personalised services to everyone in the sector, including institutional employees and students. This paper presents a systematic review of previous studies on the use of Chatbots in education. A systematic review approach was used to analyse 53 articles from recognised digital databases. The review results provide a comprehensive understanding of prior research related to the use of Chatbots in education, including information on existing studies, benefits, and challenges, as well as future research areas on the implementation of Chatbot technology in the field of education. The implications of the findings were discussed, and suggestions were made.

Chatbots applications in education: A systematic review

Artificial Intelligence (AI) Student Assistants in the Classroom: Designing Chatbots to Support Student Success

ABSTRACT Narrative Practice (NP) seeks to help clients author a new narrative about themselves by investigating the history of their values; it is a journey from reflective explorations to preferred identity expressions. This article is an autoethnographic study of a narrative practitioner’s experience throughout the past decade. The study identified how the practice has adopted technology and how technology has, in turn, shaped the practice. It unearthed four potential technique extension domains: i) setting contexts, ii) utilising communication modalities, iii) designing data capture and comprehension methods, and iv) circulating preferred narratives. The conclusion section discusses implications for further development.

Digital technologies and evolving narrative practice: an autoethnographic study

Career counseling assists students in the decision-making process for a future career path. The current work augments the counseling activity conducted by a professional, with a proposal of an assistive NLP agent (chatbot) that provides a support for identifying and mapping out action tracks for a future career under the student&#x2019;s profile. The resulting prototype has been deployed as a conversational service, though an institutional eCampus infrastructure and has been validated by both a focus group of students and experts in the field. 

Career Counseling Chatbot using Microsoft Bot Frameworks<sup>1</sup>

Proactive Chatbot Framework Based on the PS2CLH Model: An AI-Deep Learning Chatbot Assistant for Students

Career counselling is a process that focuses on helping an individual understand his/her own self, as well as work trends so that they can take an informed decision about career and education. Therefore, career counselling plays a very vital role but there is a lack of importance for career counselling in schools and colleges. Hence, this paper reflects the methods through which personalized career counselling for students can be implemented. To achieve this, a chatbot is used which is a computer program that mimics human conversations using artificial intelligence and cognitive science. Users can start conversations with the bot on a different channel like Facebook Messenger, Skype, Slack and SMS. Initially, the chatbot will start by asking the user for the personal information. Next, the bot will conduct a series of psychometric tests specifically holland test for suggesting career options which are best suited and big 5 test for identifying a user’s overall personality. According to the results, the bot will suggest a list of job opportunities well suited for the user. Once the user has selected a job, the chatbot will start mentoring the user in achieving all the necessary skill set for that particular job. All this user information will be stored in MongoDB. While the user interacts with the user, the chatbot will capture the facial and textual emotions of the user to know the interests of the user. During the training process, the bot will create and maintain a progress report and update this time to time in the user’s E-portfolio. This portfolio will help the user as well as the job providers in recognizing the genuine skill set of the user. Usually, the mentoring process is affected by the language barrier and can result in extreme misunderstanding, and our chatbot is capable enough to interact with the user in their preferred language and will be available 24 × 7 (Brown, Career information, career counselling, & career development (2006) [1]).

Vipul Jadhav

Papers

Career Counselling Chatbot Using Cognitive Science and Artificial Intelligence