Get Schooled by AI: Use cases of Chatbots for Education

Researchers immediately began experimenting with the tool, which can assist in many of their daily tasks, from writing abstracts to generating and editing computer code. Some say that it’s a great time-saving device, whereas others warn that it might produce low-quality papers. There is also a bias towards empirically evaluated articles as we only selected articles that have an empirical evaluation, such as experiments, evaluation studies, etc. Further, we only analyzed the most recent articles when many articles discussed the same concept by the same researchers. Most articles (13; 36.11%) used an experiment to establish the validity of the used approach, while 10 articles (27.77%) used an evaluation study to validate the usefulness and usability of their approach.

They can supplement the support offered by faculty members and academic advisors. Here, we discuss some of the advantages, opportunities, and challenges of chatbots in primary, secondary, and higher education. It should be noted that sometimes chatbots fabricate information, a process called “hallucination,” so, at least for the time being, references and citations should verified.

Diving Deeper into Data Analysis and Insights: The Art of Turning Raw Data into Business Gold

Therefore, future studies should look into educators’ challenges, needs, and competencies and align them in fulfill EC facilitated learning goals. Furthermore, there is much to be explored in understanding the complex dynamics of human–computer interaction in realizing such a goal, especially educational goals that are currently being influenced by the onset of the Covid-19 pandemic. Conversely, future studies should look into different learning outcomes, social media use, personality, age, culture, context, and use behavior to understand the use of chatbots for education.

This can increase the learner’s sense of agency and their ownership of the learning process. There are multiple business dimensions in the education industry where chatbots are gaining popularity, such as online tutors, student support, teacher’s assistant, administrative tool, assessing and generating results. Educational chatbots can help you know more about the needs of your students through personal interactions and offer them the courses accordingly. You can acquire the information gathered and work on future finances accordingly. So, it is better to design and prioritize the chatbot for education accordingly.

7 RQ7: What are the challenges and limitations of using proposed chatbots?

This way students get a free environment to come forward and get a clearer view. However, different education sectors use educational chatbots differently. With its human-like writing abilities and OpenAI’s other recent release, DALL-E 2, it generates images on demand and uses large language models trained on huge amounts of data. The same is true of rivals such as Claude from Anthropic and Bard from Google. These so-called “chatbots,” computer programs designed to simulate conversation with human users, have evolved rapidly in recent years. But, like most powerful technologies, the use of chatbots offers challenges as well as opportunities.

It offers a natural and realistic conversational experience throughout the process. For complicated queries that the chatbot is unable to handle, the chat sessions get transferred to a human agent for better assistance. With chatbots available 24/7, now students don’t need to wait to get assistance with their queries. The educational chatbot is revolutionizing the way Edtech organizations and institutions provide instant assistance and share information with their students, teachers, and educators.

Nevertheless, because the tool did not produce answers to some questions, some students decided to abandon it and instead use standard search engines to find answers. Most peer agent chatbots allowed students to ask for specific help on demand. Interestingly, the only peer agent that allowed for a free-style conversation was the one described in (Fryer et al., 2017), which could be helpful in the context of learning a language. Institutional staff, especially teachers, are often overburdened and exhausted, working beyond their office hours just to deliver excellent learning experiences to their students.

According to Garcia Brustenga et al. (2018), EC can be designed without educational intentionality where it is used purely for administrative purposes to guide and support learning. The ECs were also developed based on micro-learning strategies to ensure that the students do not spend long hours with the EC, which may cause cognitive fatigue (Yin et al., 2021). Furthermore, the goal of each EC was to facilitate group work collaboration around a project-based activity where the students are required to design and develop an e-learning tool, write a report, and present their outcomes.

Six (16.66%) articles presented educational chatbots that exclusively operate on a mobile platform (e.g., phone, tablet). Examples include Rexy (Benedetto & Cremonesi, 2019), which helps students enroll in courses, shows exam results, and gives feedback. Another example is the E-Java Chatbot (Daud et al., 2020), a virtual tutor that teaches the Java programming language. Virtual tutoring and personalised engagement help smoothen and enhance the overall learning experience. Chatbots are trained in natural language processing (NLP) which allows them to easily analyze and evaluate the answers given by students.

Read more about https://www.metadialog.com/ here.