Browsing by Subject "Community of inquiry"

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Inclusive learning with assistant chatbot in massive open online courses : examining students’ perceptions, utilizations, and expectations
(2024-05) Han, Songhee; Liu, Min, Ed. D.; Min Kyung Lee; Grace MyHyun Kim; Xiaofen Hamilton
This study examines students’ learning experiences with an assistant chatbot in professional development MOOCs designed for journalists. Utilizing a mixed-methods approach, it focuses on the students’ learning experience’s sub-domains, such as social presence, teaching and cognitive presence, self-regulation, ease of use, and behavioral intention. Employing the Community of Inquiry (CoI) framework and the Technology Acceptance Model (TAM), the study first assesses the impact of demographics like age, gender, region, and native language on these learning experiences. The study revealed that age and gender had no significant influence on learning experiences, while geo-cultural regions showed variations, particularly in social presence and, teaching and cognitive presence. Socioeconomic regions demonstrated more notable differences, especially between lower-middle and high-income areas. However, the native language did not significantly influence learning experiences. Second, structural equation modeling (SEM) validated several hypothesized relationships, highlighting the positive impact of self-regulation on various other learning domains. Interestingly, teaching and cognitive presence did not significantly influence behavioral intention, nor was there a significant relationship between behavioral intention and use time. Age and socioeconomic region factors were identified as full moderators, while gender was a partial moderator from multigroup SEM results. Third, an extensive analysis of student interactions with the chatbot was conducted using various data sources. This analysis revealed eight key topics of chatbot interactions and showed predominantly neutral sentiments in the chatbot text logs. However, survey and interview data indicated a generally positive perception of the chatbot, especially noting its operational effectiveness and ease of use. Sentiments varied across socioeconomic regions, with more positive feedback from lower-income regions, while those from higher-income regions had higher expectations. The study also observed differences in navigational patterns between chatbot users and non-users in the course. Chatbot users exhibited more diverse navigations, indicating deeper engagement with course materials and a higher completion rate. In contrast, non-users followed a more structured progression, mainly relying on the predefined course path. Finally, the study highlighted students’ expectations for the chatbot, emphasizing the need for improvements in response accuracy, diversity, and additional capabilities like multi-language support. The findings emphasize the role of demographic variables in shaping student interactions with chatbots in MOOCs and suggest that modifying chatbot responses for inclusiveness could be key in meeting diverse student needs. The implications include that adhering to Universal Design for Learning principles, empowered by current advancements in AI-based chatbot technology, and informed by the CoI and TAM, could better address the diverse needs in MOOCs, especially in chatbot-enhanced learning environments.
Social presence, interaction, and participation in asynchronous creative writing workshops
(2011-12) Williams, James Patrick; Bias, Randolph G.; Dillon, Andrew; Doty, Philip; Rice-Lively, Mary Lynn; Keating, Elizabeth
Trends in user-generated content on the Web are shifting the role of online course materials, student work, and communications channels in instructional settings. Evidence of users’ interaction with content has been brought into the foreground through interface elements which reflect and encourage interaction, including comments, ratings, tags, “likes”, view statistics, and others. This research considers such features "interaction traces" and explores their use and interpretation by student learners. This research investigates the use and perception of these features by students within a particular type of asynchronous learning environment, the creative writing workshop. Within the two courses studied, a poetry course and a fiction course, two forms of interaction traces were presented: peer criticism posted as comments on creative work and visible view counts for all comments posted in the course. Informed by the Community of Inquiry framework and using a case study methodology, this dissertation investigates whether interaction traces affect perceptions of social presence among students and how students respond to this evidence of the interaction and critique. Data were collected from course discussion transcripts, course management system usage statistics, and participant responses to six surveys. Discussion thread transcripts were subjected to content analysis for indicators of social presence. Additionally, the researcher performed individual interviews with the instructor and a subset of students. Analysis of participants' social presence, interaction with others, and participation in the class revealed evidence that peer criticism was mediated by social presence, that students engaged in a variety of individual relationships based on perceptions developed through interaction traces, and that participant reading and writing activities affected how they perceived the course and their peers. Social presence in comments served not only to humanize participants and to resolve conflict but led to confusion and frustration in some cases. The instructor's high level of social presence in the courses influenced participants and provided a model for some participants' approaches to coursework. Based on the themes which emerged from the case reports, this dissertation suggests some implications for online course planning and course management system design with regard to interaction traces.