Intelligent Educational Recommendation Platform with AI Chatbots

The objectives of this research were as follows. 1) Analyze the intelligent educational recommendation platform with AI Chatbots. 2) Design the architecture of the intelligent educational recommendation platform with AI Chatbots. 3) Develop the architecture of the intelligent educational recommendation platform with AI Chatbots. 4) Study the appropriateness of developing the intelligent educational recommendation platform with AI Chatbots. The sample used in the research was seven experts in information system development from various institutions in higher education. The architecture of the intelligent educational recommendation platform with AI Chatbots there is two main components: 1) Stakeholders consisting of system administrators and external users, and 2) The working process of the intelligent educational recommendation platform with AI Chatbots consists of four parts including natural language processing, dialog management, database and application programming interface (API), and response generation. Assessment of the appropriateness of the architecture of the intelligent educational recommendation platform with AI Chatbots found that 1) the architecture of the intelligent educational recommendation platform with AI Chatbots, overall at a high appropriated, 2) the architecture of the intelligent educational recommendation platform with AI Chatbots, an individual element at a high appropriated, and 3) the architecture of the intelligent educational recommendation platform with AI Chatbots, Integrated elements at a high appropriated. As described earlier, the architecture of the intelligent educational recommendation platform with AI Chatbots can be a guideline for developing with AI Chatbots in the future.


Introduce the Problem
Currently, information technology has played an increasingly important role in human life, not only in everyday life but also at work.These need to be informed to plan their lifestyle, such as checking weather and travel information.In the work issue, information technology be used to facilitate as a tool to support decision-making; it should be accurate and rapid.Personnel at various levels should have knowledge, understanding, and skills in using information technology.Modern technology is vital in supporting education management, providing information services for further education, educational guidance, etc.
The rapid growth of technology and the evolution of information presented through the media have resulted in an alternative to applying information technology to educational management.This is due to the convenience and speed that can connect easily.It can also be used through mobile devices that can be accessed anytime and anywhere (Chatwattana, 2020).These advantages can be used in response to the present education policy, which focuses on lifelong learning and can seek self-knowledge from all learning materials by integrating communication technology tools and social media.
Artificial Intelligence (AI) is the technology to create machines with the same characteristics of intelligence and thinking as a human being, like human actions, rational thinking, and rational actions (Kaplan, 2016;Khemani, 2013).The science at the heart of AI technology's ability to achieve intelligence and human-like learning is machine learning (ML).It consists of four parts (Chatwattana, 2020) as follows.
1) Robotics or robot arm system is a model of the human body that is controlled by a computer.
2) Natural language processing system is the development of computer systems to synthesize sounds that exist in nature to convey meaning to humans.
3) Speech recognition system is to develop computer systems to understand human language and recognize human speech continuously.4) Expert system is to develop computer systems to have knowledge and reasoning to analyze problems by using knowledge or experience to solve one problem to solve other problems logically.
Chatbot is software that interacts literally or verbally with users through language, designed to mimic typical human interaction.Software developed to automate and fast respond to text or voice conversations.Besides, it can be used in various applications such as Line, Facebook, and Instagram (Rukhiran & Netinant, 2022;Ferry, 2018).AI Chatbots are software agents that interact with the user for a conversation using natural language.AI Chatbots will be built using artificial algorithms that will analyze the user's query and understand the user's message to make a robot that will help to guide the automated Q&A service is more convenient, thanks to the use of Chatbot (Gaikwad et al., 2018;Gupta et al., 2020).It has applied several sophisticated artificial intelligence technologies to analyze the questions effectively and find answers that accurately meet the questioner's needs (Phuengrod et al., 2021).
Mobile Application is the development of applications specifically for mobile devices or smartphones to meet the needs of consumers.It also encourages smartphone users to make it easy to use.Therefore, the significant development of smartphone applications, such as online chat programs, and online shopping systems.Besides, online food ordering systems for business use (Yilmaz, 2016;Chatwattana et al., 2023).
Guidance for further education refers to providing students with accurate information about further education at each institution.By choosing the appropriate level of the learner that can study in which institution they can study.How are properties defined?The Course of Study, assessment, Tuition expenses, qualifications upon completion.In addition, future career opportunities to explore one's aptitudes, abilities, and interests.Besides, prepare for the institution to study further.
Aptitude refers to the ability that a person has experienced and accumulated until special skills are demonstrated in one field or another (Luan & Angkhana, 1998).This will affect your ability to learn and succeed in the future.They are usually divided into general aptitude, sometimes called scholastic aptitude, and specific aptitude.
From the above concept, as a result, the researcher had the idea to develop the intelligent educational recommendation platform with AI Chatbots, a type of computer program designed to play a role in automatically replying to text conversations through a platform freely.It was able to communicate with users 24 hours a day.This feature of automated interactions reduces response delays and allows text to be selected in responses.It is used to process to understand human language and sentence form.Besides, the meaning that humans want to convey better reduces the burden on advisers to answer the same questions repeatedly by using applicant profiles, qualifications, and aptitude tests to analyze and recommend admission to match the aptitudes and careers that students want to be in the future.

Method
The intelligent educational recommendation platform with AI Chatbots has four research objectives.
1) Analyze the elements of the intelligent educational recommendation platform with AI Chatbots.
2) Design the architecture of the intelligent educational recommendation platform with AI Chatbots.
3) Develop the architecture of the intelligent educational recommendation platform with AI Chatbots.4) Study the appropriateness of developing the architecture of the intelligent educational recommendation platform with AI Chatbots.
The assessment results of the appropriateness of developing the architecture of the intelligent educational recommendation platform with AI Chatbots were highly appropriate.

Research Methodology
This research is the design and development of the architecture of the intelligent educational recommendation platform with AI Chatbots.The research methodology is divided into four stages corresponding to the research objectives.
Stage 1: Analyze and synthesize documents and research relevant to the architecture of the intelligent educational recommendation platform with AI Chatbots.The researcher has analyzed and synthesized documents and research consisted of.1) Artificial intelligence technology, mobile applications, Chatbot, educational guidance, and aptitudes to use as a guideline for defining a conceptual framework for the developed platform architecture.
2) Factors affecting the choice of subjects of the Railway Technical School, which is the first rail vocational specialty school in Thailand that provides education at the Higher Vocational Certificate (Vocational Diploma) level, some of the school's disciplines accept graduates in the same field of the vocational certificate (Vocational Diploma) in the same field, such as mechanical and electrical, locomotive and wheel technician.Recruit students who finished the Vocational Diploma in the field of the following.1) Department of Automobile, 2) Department of Mechanic, 3) Department of Power Electricity, 4) Department of Electronics, etc.Therefore, applicants must plan their application for each field.Whereas, upon graduation, both fields will have different career paths.Such mechanical, he could work as an assistant train driver and become a train driver further.In contrast, locomotive and wheel technician, he was able to work as a railway maintenance technician in a factory.Stage 3: Develop the architecture of the intelligent educational recommendation platform with AI Chatbots.In this section, we applied the concept of the System Development Life Cycle (SDLC) (Robert, 2013).In the process of designing and developing the platform architecture.It consists of five procedures as follows: 1) Requirement Analysis, 2) Design, 3) Implementation, 4) Testing, and 5) Evaluation, respectively.
Stage 4: Study the appropriateness of developing the architecture of the intelligent educational recommendation platform with AI Chatbots.Conduct the study of the appropriateness of developing the architecture of the intelligent educational recommendation platform with AI Chatbots, by seven experts in information system development from various institutions in higher education with purposive sampling.The research instruments are as follows: 1) The architecture of the intelligent educational recommendation platform with AI Chatbots.
2) The assessment form for the appropriateness of developing the architecture of the intelligent educational recommendation platform with AI Chatbots.
The questionnaire is characterized by five levels at which the evaluation and interpretation criteria (Kanasutra, 1995) are performed as follows.

Results
The results of the design and development of the architecture of the intelligent educational recommendation platform with AI Chatbots.Researchers have concluded following the above four objectives, and the results can be summarized as follows.

Results of the Study of Theoretical, Articles, and Relevant Research.
Conceptual framework of the intelligent educational recommendation platform with AI Chatbots, the results are analyzed and synthesized as shown in Figure 1.     2) The wo parts.

Assessment Results of the Appropriateness of the Architecture of the Intelligent Educational Recommendation Platform with AI Chatbots
1) Assessment results of the appropriateness of the architecture of the intelligent educational recommendation platform with AI Chatbots (integrated elements) as shown in Table 3. Table 3 shows the architecture of the intelligent educational recommendation platform with AI Chatbots.In terms of the integrated elements which the appropriateness is at a very high level (Mean = 4.53, S.D. = 0.63).
The architecture of the intelligent educational recommendation platform with AI Chatbots can be used as a guideline for developing the intelligent educational recommendation platform with AI Chatbots.
2) Assessment of the appropriateness of the architecture of the intelligent educational recommendation platform with AI Chatbots (individual element) as shown in Table 4. 3) Assessment of the appropriateness of the architecture of the intelligent educational recommendation platform with AI Chatbots (implementation) as shown in Table 5.Table 5 found the architecture of the intelligent educational recommendation platform with AI Chatbots, is appropriate at the high level (Mean = 4.25, S.D. = 0.62).The experts accepted the idea of developing the architecture of the intelligent educational recommendation platform with AI Chatbots.The idea can be used to further create the intelligent educational recommendation platform with AI Chatbots for practical use.

Conclusion and Discussion
The architecture of the intelligent educational recommendation platform with AI Chatbots is a tool to promote information awareness through mobile applications to make aptitude-based decisions for studying in railway engineering schools.There are two main components: 1) Stakeholders: which represent individuals related to the intelligent educational recommendation platform developed, consisting of two groups of system users such as administrator and external users, and 2) The working process of the intelligent educational recommendation platform with AI Chatbots, consisting of four parts including, natural language processing, dialogue management database and application programming interface (API), and response, respectively.
The research results found the following.1) Overall, the architecture of the intelligent educational recommendation platform with AI Chatbots is highly appropriate.
2) The architecture of the intelligent educational recommendation platform with AI Chatbots, an individual element, is highly appropriate.3) Implementing the architecture of the intelligent educational recommendation platform with AI Chatbots is highly appropriate.As stated earlier, the architecture of the intelligent educational recommendation platform with AI Chatbots developed can be used as a guideline for developing the intelligent educational recommendation platform with AI Chatbots in the future.This aligns with Karapakdee & Piriyasurawong (2022) research that says Chatbots are automated chat programs powered by artificial intelligence (AI) that allows users to work with responses in natural language, creating relationships between students and teachers to be able to communicate in the same direction.It is in line with Chatwattana et al. (2023) research that mobile applications are one of the most popular information technology tools to meet users' needs.It also supports learning and uses via mobile devices through applications installed on mobile devices that rely on internet technology to connect data to manage content and exchange information between users.As a result, both public and private organizations are increasingly focusing on providing information through portable communication tools.

Stage 2 :
Design the architecture of the intelligent educational recommendation platform with AI Chatbots.The researcher also designed the platform architecture developed by the Use case diagram, context diagram, and swimlane diagram. ies.ccsenet. Figure Figure 2.

Table 1 .
Average score range and interpretation meaning.

Table 3 .
Assessment results of the appropriateness of the architecture of the intelligent educational recommendation platform with AI Chatbots (integrated elements)

Table 4 .
Assessment of the appropriateness of the architecture of the intelligent educational recommendation platform with AI Chatbots (individual element)

Table 5 .
Assessment of the appropriateness of the architecture of the intelligent educational recommendation platform with AI Chatbots (implementation)