Leveraging AI for Enhanced Support: Satisfaction Levels of Users Utilizing Virtual Assistant in Open Education
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Abstract
This study explores users' perceptions of the Virtual Assistant application facilitated by the Anadolu University Open Education System. It assesses the application's effectiveness and user satisfaction by analyzing opinions regarding its importance and the experience it delivers. The research delineates its population as learners engaging with the Virtual Assistant within the Anadolu University Open Education Framework. Employing a sequential explanatory design within mixed-method research methodologies, the investigation commenced with an online Virtual Assistant Satisfaction Survey involving 374 participants as the sample-subsequent focus group discussions with 18 users aimed to delve deeper into satisfaction levels vis-à-vis user expectations. Findings indicate a moderate level of satisfaction among users with the Virtual Assistant application, reflecting a congruence with anticipated outcomes. Moreover, the analysis across various dimensions revealed a comprehensive satisfaction in alignment with user expectations, particularly highlighting approval for the application’s adherence to the Open Education website’s design language. Conversely, dissatisfaction was noted concerning the specificity and utility of the information provided. The study identifies a disparity in satisfaction levels, with high marks in design aspects and lower evaluations in usability. Recommendations are extended towards enhancing the Virtual Assistant and similar tools through user-centric development and encouraging further research predicated on the insights garnered from this study.
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