The education bot proves to be very efficient here providing every detail about courses, fees, syllabus, admissions, and so on. This will increase transparency and foster positive relationships with students and their parents. Ada Support offers automated support to students, answers frequently asked questions, assists with enrollment, and provides real-time guidance on various academic matters.
Several studies have found that educational chatbots improve students’ learning experience. For instance, Okonkwo and Ade-Ibijola (2021) found out that chatbots motivate students, keep them engaged, and grant them immediate assistance, particularly online. Additionally, Wollny et al. (2021) argued that educational chatbots make education more available and easily accessible. Language-learning chatbots can provide students with a range of language-learning activities, such as vocabulary exercises, grammar lessons, and conversational practice. They can also provide students with instant feedback on their pronunciation, helping them improve their speaking skills.
Streamlined Application Process
Chatbots can be available 24/7, providing students with support whenever they need it. This ensures that students can get answers to their queries at any time, making learning more accessible and convenient. Career counseling chatbots can help students explore different career options and provide information on the skills and qualifications required for different roles. They can also provide advice on job search strategies, such as networking and resume writing, and help students prepare for job interviews. Gecko’s real-time chatbot for universities, colleges & higher education institutions intelligently answers hundreds of student inquiries simultaneously.
Lapina (2020) added that problem-based learning and solving complex problems could improve the need for cognition. Hence, when both classes had the same team-based project task, the homogenous nature of the sampling may Chatbot for Education have attributed to the similarities in the outcome that overshadowed the effect of the ECs. Equally, for motivational belief, which is the central aspect needed to encourage strategic learning behavior (Yen, 2018).
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As a result, schools can reduce the need for additional support staff, leading to cost savings. This cost-effective approach ensures that educational resources are utilized efficiently, ultimately contributing to more accessible and affordable education for all. Furthermore, tech solutions like conversational AI, are being deployed over every platform on the internet, be it social media or business websites and applications. Tech-savvy students, parents, and teachers are experiencing the privilege of interacting with the chatbots and in turn, institutions are observing satisfied students and happier staff. These educational chatbots are like magical helpers transforming the way schools interact with students. Now we can easily explore all kinds of activities related to our studies, thanks to these friendly AI companions by our side.
Higher education chatbot provides personalized and interactive AI-powered education, thus optimizing the learning experience and achieving the best outcomes. With the help of active listening capabilities, these bots allow educational institutes engage with their students and parents in real-time, 24/7, replying to their queries and offering instant assistance. In the supporting learning role (Learning), chatbots are used as an educational tool to teach content or skills. This can be achieved through a fixed integration into the curriculum, such as conversation tasks (L. K. Fryer et al., 2020). Alternatively, learning can be supported through additional offerings alongside classroom teaching, for example, voice assistants for leisure activities at home (Bao, 2019). Examples of these are chatbots simulating a virtual pen pal abroad (Na-Young, 2019).
With more time to focus on strategic tasks, you can work towards improving the academic performance of your students. Handle student applications, course registration, finance and billing, FAQs, tutoring support, results, timetables, and curriculum advising – all automated. Personalized and customized learning is probably the primary reason for students to shift to online courses. Every student has a different learning pace and so they require personalized sessions where they can be at their own tempo. Many brands are successfully using AI chatbots for education in course examinations and assessments.
According to Adamopoulou and Moussiades (2020), it is impossible to categorize chatbots due to their diversity; nevertheless, specific attributes can be predetermined to guide design and development goals. For example, in this study, the rule-based approach using the if-else technique (Khan et al., 2019) was applied to design the EC. The rule-based chatbot only responds to the rules and keywords programmed (Sandoval, 2018), and therefore designing EC needs anticipation on what the students may inquire about (Chete & Daudu, 2020).
Course examinations and assessments
An example of Scaffolding can be seen in (Gabrielli et al., 2020), where the chatbot coaches students in life skills, while an example of Recommending can be seen in (Xiao et al., 2019), where the chatbot recommends new teammates. Finally, Informing can be seen in (Kerly et al., 2008), where the chatbot informs students about their personal Open Learner Model. In the case of Google Scholar, the number of results sorted by relevance per query was limited to 300, as this database also delivers many less relevant works. The value was determined by looking at the search results in detail using several queries to exclude as few relevant works as possible. This approach showed promising results and, at the same time, did not burden the literature list with irrelevant items.
- Concurrently, it was evident that the self-realization of their value as a contributing team member in both groups increased from pre-intervention to post-intervention, which was higher for the CT group.
- To deal with this risk, we searched manually to identify significant work beyond the articles we found in the search databases.
- As Conversational AI and Generative AI continue to advance, chatbots in education will become even more intuitive and interactive.
- Nevertheless, the manual search did not result in any articles that are not already found in the searched databases.
With a chatbot, the admissions team can provide round-the-clock support to prospective students. It can handle inquiries and provide information even outside regular office hours, ensuring that students’ questions are addressed promptly. This availability enhances student experience and reduces the response time, giving the admissions team a competitive edge. While Mentoring chatbots to support Self-Regulated Learning are intended to encourage students to reflect on and plan their learning progress, Mentoring chatbots to support Life Skills address general student’s abilities such as self-confidence or managing emotions. Finally, Mentoring chatbots to support Learning Skills, in contrast to Self-Regulated Learning, address only particular aspects of the learning process, such as new learning strategies or helpful learning partners. An example for Mentoring chatbots supporting Life Skill is the Logo counseling chatbot, which promotes healthy self-esteem (Engel et al., 2020).
By harnessing the power of generative AI, chatbots can efficiently handle a multitude of conversations with students simultaneously. The technology’s ability to generate human-like responses in real-time allows these AI chatbots to engage with numerous students without compromising the quality of their interactions. This scalability ensures that every learner receives prompt and personalized support, no matter how many students are using the chatbot at the same time. Chatbots in education offer unparalleled accessibility, functioning as reliable virtual assistants that remain accessible around the clock. Much like a dedicated support system, they tirelessly cater to the needs of both students and teachers, providing prompt responses and assistance at any time, day or night. This kind of availability ensures that learners and educators can access essential information and support whenever they need it, fostering a seamless and uninterrupted learning experience.
A questionnaire Survey of Non-purposive sampling technique was applied to collect data points from 207 university students from two major universities in the UAE. The results revealed that the functional elements, perceived ease of use and social influence significantly affect behavioural intention for chatbots’ acceptance. However, perceived usefulness, autonomy, and trust did not show significant evidence of influence on the acceptance of an advising chatbot.
Student sentiment analysis
Existing literature review studies attempted to summarize current efforts to apply chatbot technology in education. For example, Winkler and Söllner (2018) focused on chatbots used for improving learning outcomes. On the other hand, Cunningham-Nelson et al. (2019) discussed how chatbots could be applied to enhance the student’s learning experience. The study by Pérez et al. (2020) reviewed the existing types of educational chatbots and the learning results expected from them. Smutny and Schreiberova (2020) examined chatbots as a learning aid for Facebook Messenger.