Chatbot Application Research Articles

Peran AI Chatbots dalam Layanan Mahasiswa Ilmu Komunikasi Menggunakan Metode Natural Languange Processing (NLP) di Universitas Muhammadiyah Karanganyar

Three technical steps of data collection were used in testing that involved over 100 students: observations, questionnaires, and interviews. After processing, all of the data is collected into a dataset that is kept in the chatbot application database. Obtaining up-to-date information about class schedules, communication science resources, and other academic matters is crucial for students. Therefore, this project intends to provide an accurate and up-to-date source of information by using AI chatbots with the NLP approach, making it easier for students to acquire the material they need. In the exam scenario, each student is required to respond to a minimum of five questions that follow the topics covered in Communication Science curriculum. These questions are processed using the application provided to produce predictions of possible relevant answers. The results of the answers from the chatbot are used to create a comparison matrix between the percentage of chatbot usage and the verification team. The verification team approves all output from the chatbot. Based on the comparison, it can be inferred that the verification team's output percentage was 100%, but the chatbot's production percentage was 95%.

Pengembangan Aplikasi Chatbot Telegram Menggunakan Framework Rasa untuk Pelayanan Administrasi di Perguruan Tinggi Universitas Stikubank

The administrative services in universities are currently still conventional, resulting in many difficulties due to the mismatched time. For this research, a Telegram chatbot application will be developed to provide various answers to administrative inquiries in universities automatically. The chatbot application will be developed using the Rasa Open Source framework. This research collects data from several frequently asked questions by students and prospective students to the Biro Administrasi Akademik dan Kemahasiswaan (BAAK) as the initial data for the chatbot application. From this data, it will be transformed into Natural Language Understanding (NLU) and dialogue data. The number of NLU sentence examples is 213, and there are 27 dialogue examples. As a result, the chatbot application can understand user inquiries well, but it experiences some errors in generating dialogue responses.

Using chatbot application “Telegram” to improve functional fitness, physical fitness and academic performance of students

The aim of the study is to evaluate the possibility of using the chatbot application “Telegram” to improve the indicators of physical fitness, functional fitness and academic performance of students. The study uses the following methods: pedagogical experiment, pedagogical observation, pedagogical testing, methods of mathematical statistics. The authors propose to influence the physical condition of students using modern, fashionable information technology in the form of chat-bot application “Telegram”, which can have a positive impact on students. The article describes the mechanism of the chat-bot application “Telegram”, the organization of the study and the interaction of the teacher with the participants of the experiment. Testing on the selected criteria at the beginning and end of the experiment was carried out. The obtained indicators were processed using the program SPSS Statistic, nonparametric method by Mann-Whitney U-criterion (P ≤ 0.05). Reliable differences of the studied criteria of physical fitness and functional capabilities of the organism between the control and experimental groups were obtained. The improvement of academic performance of the experimental participants was proved.

Relevance of a Customized Version of ChatGPT Explaining Laboratory Test Results in Patient Education.

ChatGPT is an artificial intelligence (AI) chatbot application. In this study, we explore the creation and use of a customized version of ChatGPT designed specifically for patient education, called "Lab Explainer." Lab Explainer aims to simplify and clarify the results of complex laboratory tests for patients, using the sophisticated capabilities of AI in natural language processing; it analyses various laboratory test data and provides clear explanations and contextual information. The approach involved adapting OpenAI's ChatGPT model specifically to analyze laboratory test data. The results suggest that Lab Explainer has the potential to improve understanding by providing an interpretation of laboratory tests to the patient. In conclusion, the Lab Explainer can assist patient education by providing intelligible interpretations of laboratory tests.

Robo academic advisor: Can chatbots and artificial intelligence replace human interaction?

<b>Purpose</b>: Chatbots and artificial intelligence (AI) have the potential to alleviate some of the challenges faced by humans. Faculties frequently swamped with teaching and research may find it difficult to act in a parental role for students by offering them individualized advice. Hence, the primary purpose of this study is to review the literature on chatbots and AI in light of their role in auto-advising systems. The authors aimed to gain insights into the most pertinent topics and concerns related to robo academic advisor and identify any gaps in the literature that could serve as potential avenues for further research.<br /> <b>Design/methodology/approach: </b>The research employs a systematic literature review and bibliometric techniques to find 67 primary papers that have been published between 1984 and 2023. Using the Scopus database, the researchers built a summary of the literature on chatbots and AI in academic advice.<br /> <b>Findings: </b>Chatbot applications can be a promising approach to address the challenges of balancing personalized student advising with automation. More empirical research is required, especially on chatbots and other AI-based advising systems, to understand their effectiveness and how they can be integrated into educational settings.<br /> <b>Research limitations/implications: </b>This research’s sample size may restrict its findings’ generalizability. Furthermore, the study’s focus on chatbots may overlook the potential benefits of other AI technologies in enhancing robo academic advising systems. Future research could explore the impact of robo academic advisors in diverse societal backgrounds to gain a more comprehensive understanding of their implications.<br /> <b>Practical implications: </b>Higher educational institutions (HEIs) should establish a robo academic advising system that serves various stakeholders. The system’s chatbots and AI features must be user-friendly, considering the customers’ familiarity with robots.<br /> <b>Originality/value: </b>This study contributes to a better understanding of HEIs’ perceptions of the adoption of chatbots and AI in academic advising by providing insightful information about the main forces behind robo academic advising, illuminating the most frequently studied uses of chatbots and AI in academic advising.

Integrating ChatGPT in Grade 12 Quantum Theory Education: An Exploratory Study at Emirate School (UAE)

This study utilizes a quasi-experimental mixed-methods design to investigate the impact of Chatbot applications on student achievement in Quantum Theory courses. The objectives include developing customized Chatbot-supported activities for Quantum Theory and exploring their integration across disciplines. Participants consist of third-semester students from schools in the Alain zone. An experimental group (55 participants) received instruction enhanced by ChatGPT, while a control group (57 participants) experienced traditional teaching. The experimental group showed significant improvements in post-test scores for the Knowing, Applying, and Reasoning sub-skills, even though their pre-test scores were similar. The effect size, indicated by Eta square (η2 > 0.14), suggests a substantial impact. Qualitative insights reveal enhanced engagement, comprehension, problem-solving skills, and perceived relevance in the experimental group. Challenges arise due to a requirement for more detailed explanations and visual aids. This study underscores ChatGPT’s potential to enhance learning experiences and integrate them into curricula, supported by quantitative and qualitative evidence. However, further exploration is needed to assess its long-term impact across diverse educational contexts.

The Use of Kuki Chatbot Application to Improve English Achievement

The use of digital media is one of the topics recommended in the Platform Merdeka Mengajar (PMM), a teacher-independent learning platform and a benchmark in the implementation of the Curriculum Merdeka. In this study, the researcher used an artificial intelligence called a chatbot Kuki application. Chatbots are automated conversational agents that can interact with users in natural human language and provide support anytime, anywhere. Kuki is an embodied Artificial intelligence bot designed to befriend humans in the Kuki, formerly known as Mitsuku. The researcher first carried out pre-observation to show students’ English achievement. The result is that students' English achievement is still in the low category. Mostly students stated that media in learning is a factor in low achievement. The objectives of this study are to find out: 1) whether the use of Chatbot Kuki can improve students' English achievement. ,2) students' engagement in applying the Kuki Chatbot, 3) Students' perception of the usage of chatbot Kuki and how learning steps are taken by using chatbot Kukis, and 4 ) The steps of Learning English by using Kuki Chatbot in the class. The research conducted Qualitative research by using two classes, namely Experimental and Control classes. Both of the classes are given a pre-test and post-test to see the students’ achievement. The student’s engagement is based on three dimensions: cognitive, behavioural, and emotional engagement. Student engagement is observed by an observation sheet; students' perceptions are used in a Likert scale analysis, and a validation test is performed to see the learning steps in using the Kuki Application. The result of the study is that there is an improvement in students’ English achievement in experimental classes. The Students' engagement is active, and the perception of the students is positive. The English achievement of students in class IX of SMP 3 Alla Enrekang is improved.

A prototype of a conversational virtual university support agent powered by a large language model that addresses inquiries about policies in the student handbook

Universities gain a competitive advantage by deliberately improving overall service, student, faculty, and staff experience, leading to attractiveness, retention, and improved outcomes. Quality services are achieved partly by addressing employee satisfaction, specifically in the work environment. This paper presents a prototype study of a virtual university support agent, a system grounded in a Large Language Model (LLM) engineered to address inquiries from university students, faculty and staff related to the student handbook. The study investigates the integration of generative artificial intelligence and natural conversation properties inherent in LLMs to overcome customer service shortcomings identified in previous chatbot applications. The LLMs’ susceptibility to ‘hallucination’ is mitigated through a combined approach of few-shot learning and chain of thought libraries in the training phase. The information core of this system comprises student handbook PDF files, from which an algorithm extracts and structures data to be utilized by the LLM. As a result, the university support agent facilitates a viable Q&A interface for students, faculty, and administrators to inquire about university guidelines and policies.

Chatbots: A New Digital Teaching Tool Paradigm in Artificial Intelligence (AI) Technology Among Secondary School Teachers

Teachers around the world are committed to improving student-centered learning, intending to enhance the digital teaching tool in the classroom, in tandem with the rapid evolution of technology. In addition, as a teacher, education is one of the sectors that play an essential role in preparing students for the changes, as students begin to recognize what they are learning on the first day of formal education. Consequently, exploring teachers’ experience and reviewing the challenges in teaching, is in line with the current digital era. The implementation has significance important in the scenario of Industrial Revolution 4.0 (IR4.0). One of the pillars, Artificial Intelligence (AI) Technology, which is defined as the ability of a computer or a computer-controlled robot to perform tasks that are normally performed by humans has given a dynamic viewpoint in various fields, especially in teaching. Nowadays, decision-making is simplified by artificial decision-making, which does not require the presence of a human. As a result, Chatbots as in AI Technology provide a new paradigm for teachers at school, and the mushrooming of digital mediums in education enhances the capability of teaching by using chatbot applications in the lessons. The purpose of this study is to explore Chat Bots in AI Technology as a digital teaching tool among Secondary School Teachers. The researcher used a qualitative case study guide with the purposive sampling method with three research questions to gather data through semi-structured interview questions and document review. Next, the researcher used manual coding to create themes for the findings. All in all, the informants are sharing the concept, the use, and the challenges based on content representation, the students’ interactions in previous experiences, assessments, and feedback. How teachers respond in depth led to the researcher discovering the need for training, professional development, and future classrooms for secondary education.

ChatGPT (Generated Pre-Trained Transformer) As an Adjunct to Mental Health Interventions: A Commentary

Mental health disorders affect one in four people worldwide, and many have limited access to care. Moreover, the World Health Organization’s Special Initiative for Mental Health (2019-2023) aims to explicitly ensure access to quality and affordable care for mental health conditions in low-to-middle income countries. This commentary explores the applications of chatbots based on GPT as an adjunct to mental health interventions.

Increasing Constitutional Understanding of Young Muhammadiyah Activists through Madrasah Sadar Konstitusi in Yogyakarta

Abstract. This article aims to analyze the level of understanding and awareness of the constitution among young Muhammadiyah activists in Yogyakarta. This study adopted a normative and empirical approach, utilizing a literature review and field research by administering a questionnaire to the respondents. The program employed interactive learning methods, including discussions with constitutional experts and the use of a Chat-Bot application, as well as pre-test and post-test simulations to engage the participants actively. The results show that, firstly, Madrasah Sadar Konstitusi (MASAKO) program can enhance the understanding of the constitution among young activists through the delivery of materials by constitutional law and information technology experts, as well as the use of the ChatBot application. Secondly, the post-test conducted after the educational program provides concrete evidence of the improved understanding of the constitution among young Muhammadiyah activists. Thirdly, through the mapping of understanding, education by experts, and systematic evaluation, this program provides an opportunity for young activists to enhance their understanding of the Constitution. This article contributes to the discourse on constitutional education and emphasizes the importance of involving young people in democratic societies. The MASAKO program serves as a good example for other youth organizations seeking to enhance their understanding of the Constitution among their members. It highlights the significance of empowering young activists with constitutional knowledge to promote democratic values, human rights, and social justice.

Using of ChatGPT in psychology research and practice

Background and Aim of Study:The use of artificial intelligence-based (AI-based) Chatbots in scientific research and everyday practice is becoming an integral part of most people’s lives. The field of psychology, like many others, has been influenced by artificial intelligence (AI). The aim of the study: to explore the possibilities of using AI-based Chatbots in psychological research and practice. Results: The role of OpenAI’s ChatGPT in the scientific research of academics and psychology practitioners was reviewed. The issues of using ChatGPT, which specializes in text, in theoretical research were discussed, as well as the potential applications of AI-based Chatbots in psychological practice. Conclusions: New AI technologies have transformed the scientific research ecosystem. Researchers, who actively use ChatGPT, should do so properly, taking into account the possibilities and limitations of using this toolkit in their research. Borrowing an AI-generated text for a research paper should be considered plagiarism. In addition to the risk to professional reputation, this can have a negative impact on the researcher’s own personal progress. People who do not have access to a qualified professional or who are financially constrained can use ChatGPT in psychological practice. In one way or another, these users must realize that the responsibility for the results and consequences of using such a toolkit rests entirely with them.

A Bibliometric Analysis on Chatbot Application in Education

A Bibliometric Analysis on Chatbot Application in Education

Artificial Intelligence-Based Chatbots to Combat COVID-19 Pandemic: A Scoping Review

Context: Artificial intelligence (AI) Chatbots are computer programs that simulate human conversation and use artificial intelligence, including machine learning and natural language processing, to interact with users via natural language. With the outbreak of the COVID-19 pandemic, the use of digital health technologies such as chatbots has accelerated. Objectives: This study aims to investigate the application of AI chatbots in combating the COVID-19 pandemic and explore their features. Methods: We reviewed the literature on health chatbots during the COVID-19 pandemic. PubMed, Scopus, Web of Science, and Google Scholar were searched using relevant keywords such as “chatbot”, “conversational agent,” and “artificial intelligence”. To select the relevant articles, we conducted title, abstract, and full-text screening based on inclusion and exclusion criteria. Chatbots, their applications, and design features were extracted from the selected articles. Results: Out of 673 articles initially identified, 17 articles were eligible for inclusion. We categorized the selected AI chatbots based on their roles, applications, and design characteristics. Around 70% of chatbots were designed to play a preventive role. Our review identified 8 key applications of the AI chatbots during the COVID-19 pandemic, which include (1) information dissemination and education, (2) self-assessment and screening, (3) connecting to health centers, (4) combating misinformation and fake news, (5) patient tracking and service delivery (6) mental health (7) monitoring exposure (8) vaccine information and scheduling. AI chatbots were deployed on various platforms, including mobile apps, web, and social media. Mobile-based chatbots were the most frequent. All chatbots used Natural Language Understanding (NLU) methods to understand natural language input and act on the user’s request. More than 50% of AI chatbots used NLU platforms, including Google Dialogflow, Rasa framework, and IBM Watson. Conclusions: AI chatbots can play an effective role in combating the COVID-19 pandemic. Increasing people’s awareness, optimizing the use of health resources, and reducing unnecessary encounters are some of the advantages of using AI chatbots during the COVID-19 outbreak. Using NLU platforms can be a suitable solution for developing AI chatbots in the healthcare domain. With advancements in the field of artificial intelligence, it seems that AI chatbots will have a promising future in healthcare, particularly in public health, chronic disease management, and mental health.

From Unstructured Data to Insights: Understanding the Role of ChatGPT in the Rising Trend of AI Chatbots in Web Publications

In this research, we delve into the expanding presence of AI chatbots in online media. Leveraging data mining and natural language processing, we dissected unstructured data from web publications to track the trajectory of chatbot popularity, focusing on OpenAI’s ChatGPT. Our findings reveal a pronounced uptrend in AI chatbot integration and user interaction, with ChatGPT emerging as a pivotal figure. This uptick indicates a broader acceptance and integration of AI in digital interactions. The study underscores the pivotal role of ChatGPT in shaping user experience and offers foresight into future AI chatbot applications in the digital media realm.

Impact of Interpretation Skills in Geography through Augmented Reality Integrated with Chatbot

Technologies like Augmented Reality (AR) and Artificial Intelligence (AI) like Chatbot are widely used in people's lives and work, especially to motivate, collaborate and improve learning skills. Numerous applications have been created to meet needs for daily life and learning as a result of the rising study into the use of augmented reality and artificial intelligence in education. AR is a technology used for better visualization, and a chatbot application developed with AI is used for assistance at any time. Integrating AR and Chatbot would impact increasing the student learning experience in the geography compared to the conventional approach. To support this, a pilot study was conducted for 30 middle school students to study the impact of integrated AR-AI applications on the student’s learning experience in understanding geography concepts.

Timeline reminder system bot and telegram assistant chatbot for a university student and lecturer

This research relates to the development of a chatbot application to help lecturers and students in the D3 Informatics Engineering study program remember schedules of activities and answer questions related to the study program. The background of this research is due to the difficulties of lecturers in managing activity schedules and answering questions that come from D3 Informatics Engineering study program students effectively and efficiently. This shows that having chatbot reminder and assistant applications will be very useful for study programs. The purpose of this research is to develop a bot and chatbot application that can help lecturers and students at Diploma 3 Informatics Engineering in managing activity schedules and answering questions related to study programs. The research method used is the Waterfall system development method, which is a type of System Development Life Cycle (SDLC). This method follows the sequential stages of system development starting from requirements analysis, system design, implementation, testing and maintenance. In this study, the chatbot application was developed using the Golang programming language, Codeigniter4 as the dashboard platform.

Pilot applications of GPT-4 in radiation oncology: Summarizing patient symptom intake and targeted chatbot applications

This study explores using GPT-4 for radiation toxicity monitoring in prostate cancer treatments. Two methods were tested: a summarization method and a chatbot interface. Surveyed radiation oncologists preferred the summarization method for its accuracy and potential for adoption (median rating 8 vs 4, p =.002). Both methods saved time.

Artificial Intelligence-Based Chatbot to Support Public Health Services in Indonesia

The aim of this study is to build an artificial intelligence chatbot application to support public health services. The chatbot acts as an information service that can replace the role of humans. The analysis of functional needs was obtained from information submitted by one of the heads of public health centers in Indonesia. This study uses the Scrum method with pregame stages to produce a plan consisting of functional and non-functional requirements analysis and conceptual design of the chatbot, which will be developed using Unified Modeling Language (UML) diagrams. The process of finding answers uses the matching graph master technique, which is a backtrack matching that utilizes a depth-first search strategy. There are 6 topics of chatbot services, including service schedules, health information, registration, diseases, drugs, and early care services for chatbot users. Tests conducted on these 6 topics showed an average correct answer ratio of 93.1% out of a total of 251 questions. The result of the usability measurement on the chatbot application that has been built obtained a system usability scale value of 80.1, indicating that the developed chatbots are acceptable for use.

Applying model-driven engineering to the domain of chatbots: The Xatkit experience

Chatbots are becoming a common component of many types of software systems. But they are typically developed as a side feature using ad-hoc tools and custom integrations. Moreover, current frameworks are efficient only when designing simple chatbot applications while they still require advanced technical knowledge to define complex interactions and are difficult to evolve along with the company needs. In addition, the deployment of a chatbot application usually requires a deep understanding of the targeted platforms, especially back-end connections, increasing the development and maintenance costs.In this paper, we discuss our experiences building, evolving and distributing the Xatkit framework. Xatkit is a model-based framework built around a Domain-Specific Language to define chatbots (and voicebots and bots in general) in a platform-independent way. Xatkit also comes with a runtime engine that automatically deploys the chatbot application and manages the defined conversation logic over the platforms of choice.Xatkit has significantly evolved since its initial release. This paper focuses on describing the evolution and the reasons (technical and non-technical) that triggered them. We believe our lessons learned can be useful to any other initiative trying to build a successful industrial-level chatbot platform, and in general, any type of model-based solution.