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Chatbots in University Learning Data
Education & Learning Analytics
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About
This dataset captures insights into the impact of conversational chatbots on electronic learning among university students in Bulgaria. It presents findings from an online survey conducted in May 2023, gathering student perceptions across several key criteria. These include the frequency of chatbot use, their perceived usefulness, aspects of trust and security, and the facilitating conditions for their adoption in an educational context. The dataset also includes information related to the effectiveness of educational chatbots in handling university learning tasks, with a particular focus on mathematics education. The majority of respondents, 89%, reported prior experience with conversational chatbots as an educational tool. This data offers valuable perspectives for understanding the evolving role of AI in higher education.
Columns
Timestamp: The date and time when the survey response was recorded.Q1: The academic degree level of the student respondent (e.g., Bachelor, Master).Q2: The specific major or specialisation of the student (e.g., International Economic Relations, Economics, Marketing).Q3: The self-identified gender of the student (e.g., Female, Male).Q4: Indicates the frequency of the student's use of conversational chatbots (e.g., Often, Sometimes, Rarely).Q5.1toQ5.6: Responses reflecting students' perceived usefulness and benefits of using chatbots in their learning.Q6.1toQ6.8: Responses regarding students' perceptions of trust and security when using chatbots.Q7.1toQ7.4: Responses related to conditions that facilitate or hinder the use of chatbots for learning.Q8.1toQ8.5: Responses evaluating the effectiveness of educational chatbots for university learning tasks.Q9.1toQ9.5: Responses concerning the overall impact of chatbots on the student's learning experience.Q10: Open-ended textual comments provided by the students, offering additional qualitative insights.
Distribution
The dataset is typically structured as a tabular data file, often in CSV format. It contains 131 complete responses, each representing a unique student's survey submission. Specific numbers for rows or records are available, corresponding to the total number of survey participants.
Usage
This dataset is ideal for a variety of applications, including:
- Academic Research: Analysing the adoption and impact of AI technologies in higher education.
- Educational Policy Development: Informing strategies for integrating chatbots and other AI tools into university curricula and e-learning platforms.
- AI Product Development: Providing insights for developers to enhance the design and functionality of educational chatbots based on user feedback and perceived needs.
- Understanding Student Behaviour: Exploring factors influencing students' willingness to use chatbots, their trust levels, and their assessment of chatbot effectiveness in learning, particularly in subjects like mathematics.
Coverage
- Geographic Scope: The survey was conducted in Bulgaria.
- Time Range: Data was collected between May 14 and May 31, 2023.
- Demographic Scope: The survey targeted university students, encompassing various degree levels (Bachelor, Master) and fields of study (e.g., International Economic Relations, Economics, Marketing).
License
CC0: Public Domain
Who Can Use It
- Researchers and Academics: To conduct studies on technology adoption in education, AI's role in learning, and student perceptions.
- Educational Institutions and Administrators: To make informed decisions about implementing and supporting AI tools in their learning environments.
- AI Developers and Companies: To gather user feedback and improve the utility and user experience of educational AI applications.
- Government Bodies and Policy Makers: To formulate guidelines and regulations concerning the ethical and effective use of artificial intelligence in the education sector.
Dataset Name Suggestions
- University Student AI Chatbot Perceptions
- Bulgarian E-Learning Chatbot Survey 2023
- Student Views on AI in Higher Education
- Chatbots in University Learning Data
- AI Impact on Student Education Survey
Attributes
Original Data Source:Chatbots in University Learning Data
QUALITY