How Universities Can Use AI Chatbots to Connect with Students and Drive Success

The students with low-level language skills benefited the most, whereas the learners with high-level language skills felt dissatisfied using it (Yin and Satar, 2020). Overall, the findings from the detected experimental studies indicated that there had been a significant positive effect of using chatbots on learners’ learning of language skills. Existing literature review studies attempted to summarize current efforts to apply chatbot technology in education.

This has truly helped develop online learning and improved distance learning for all. It would not be wrong to say that with the right technology and support, education will soon turn from metadialog.com a privilege to a basic human right. Soon, good quality education will be accessible anymore there is the internet and schools will not face the problem of a lack of quality teachers.

Can chatbots completely replace teachers?

They also provide additional opportunities for educators to interact with their students. In the cases of CSUN and Georgia State, their chatbots began as an extension of their admissions offices. At CSUN, students were first introduced to CSUNny when they submitted their deposits.

• This affords learners agency to learn at their own pace and through their own content focus.
• The study showed that students were more likely to interact with a bot if they felt it was helping them understand concepts better.
• Many of my colleagues were justifiably concerned about how this tool could be abused by students and how we could or should respond.
• We need to understand the fact that integrating a chatbot to a classroom will be an essential part of education since the time is running fast and the leap into the education system has been taken by technology years ago.
• Russell says CSUN has put in a “ton of effort” into shaping what CSUNny should be.
• “Most students have no idea whether their educational institution has any rules or guidelines for using AI responsibly, and that is of course worrying.

Teaching agents play the role of human teachers and can present instructions, illustrate examples, ask questions (Wambsganss et al., 2020), and provide immediate feedback (Kulik & Fletcher, 2016). On the other hand, peer agents serve as learning mates for students to encourage peer-to-peer interactions. Nevertheless, peer agents can still guide the students along a learning path. Students typically initiate the conversation with peer agents to look up certain definitions or ask for an explanation of a specific topic. Peer agents can also scaffold an educational conversation with other human peers. 7, most of the articles (88.88%) used the chatbot-driven interaction style where the chatbot controls the conversation.

Interactive Learning

Similarly, the chatbot in (Schouten et al., 2017) shows various reactionary emotions and motivates students with encouraging phrases such as “you have already achieved a lot today”. 63.88% (23) of the selected articles are conference papers, while 36.11% (13) were published in journals. Interestingly, 38.46% (5) of the journal articles were published recently in 2020. Intriguingly, one article was published in Computers in Human Behavior journal. The remaining journal articles were published in several venues such as IEEE Transactions on Affective Computing, Journal of Educational Psychology, International Journal of Human-Computer Studies, ACM Transactions on Interactive Intelligent System.

Rather than directly contributing to the learning process, motivational agents serve as companions to students and encourage positive behavior and learning (Baylor, 2011). Student feedback can be invaluable for improving course materials, facilities, and students’ learning experience as a whole. Educational institutions rely on having reputations of excellence, which incorporates a combination of both impressive results and good student satisfaction. Chatbots can collect student feedback and other helpful data, which can be analyzed and used to inform plans for improvement. As education continues to evolve, technology is playing an increasingly important role in helping students to learn and grow.

Course Enrolment Chatbot

These tools could be used by teachers to deliver content and assessments, by tutors to provide one-on-one feedback, and by parents to monitor progress. For automated assessment, short answers assessment, and language assessment, the application of a chatbot in the framework of the common European framework of reference (CEFR) works effectively (Salamanca, 2019). For automated assessment, this approach defines a set of quantifiable characteristics, such as a word count or essay length, and employs multiple linear regressions to forecast the essay score. For short answer assessment, lexical similarity evaluates how closely two words or phrases resemble one another, and semantic similarity extracts data about the semantic separation between words from a data set (typically WordNet). Therefore, a chatbot can assess the user’s level of language proficiency within the CEFR framework while conversing naturally with them (Pérez et al., 2020; Wollny et al., 2021; Huang et al., 2022).

In other cases, the teaching agent started the conversation by asking students to reflect on past learning (Song et al., 2017). Other studies discussed a scenario-based approach educational chatbots to teaching with teaching agents (Latham et al., 2011; D’mello & Graesser, 2013). The teaching agent simply mimics a tutor by presenting scenarios to be discussed with students.

Cases in which conversational AI supports learners and instructional teams

Think about messaging apps as a medium of student-teacher communication, just like in the classroom or across the departments, different activity clubs or alumni groups. Just like any classroom, the chatbot hands them out all learning material required then takes quizzes/tests and submits the results to their teachers. This eases out monitoring student performance and helps speed up the processes. Pelletier also says these chatbots appear to have a disproportionate benefit to first-generation students and those from minority backgrounds, since those students are sometimes uncomfortable asking what they might fear are “stupid questions” of an actual human. CSUNny was and is monitored by humans and can direct students to those humans to answer questions it cannot.

Another example is the E-Java Chatbot (Daud et al., 2020), a virtual tutor that teaches the Java programming language. ChatGPT works by using natural language processing and machine learning algorithms to understand the needs of students. The chatbot can interpret student questions and provide accurate and helpful answers. ChatGPT can also provide personalized recommendations based on a student’s learning history, helping them to improve their academic performance over time.

AI Assistant forAlum Engagement

Since different researchers with diverse research experience participated in this study, article classification may have been somewhat inaccurate. As such, we mitigated this risk by cross-checking the work done by each reviewer to ensure that no relevant article was erroneously excluded. We also discussed and clarified all doubts and gray areas after analyzing each selected article. Another interesting study was the one presented in (Law et al., 2020), where the authors explored how fourth and fifth-grade students interacted with a chatbot to teach it about several topics such as science and history. The students appreciated that the robot was attentive, curious, and eager to learn.

The younger generations are typically among the first to embrace new tech, and recent trends are showing a massive move away from single-utility apps and websites to general messaging platforms and social media. The regulation mandates need for operational and technological controls for protection against data violation, and grants new rights for individuals in treatment of their personal data. In short, the GDPR underpins data governance for all kinds of businesses to define data protection rules specific to them.