Student Experiences with Blackboard AI Tool: A Qualitative Study Based on the AIDUA Model

A qualitative study by Fawzia Omer Alubthane, published on figshare in 2026, explores postgraduate student engagement with an AI conversation tool in a learning management system. The research combines focus group interviews with master's and PhD students and a functional analysis of 360 conversation turns. It uses the AI device usage acceptance (AIDUA) model to investigate perceptions of anthropomorphism, hedonic motivation, and cognitive fatigue.

Use Cases

• Analyzing qualitative themes of student engagement based on focus group interview data.
• Studying patterns of AI tool usage and conversation loops based on the analysis of 360 conversation turns.
• Investigating the impact of perceived anthropomorphism and hedonic motivation on technology acceptance based on the AIDUA model framework.
• Informing the design of structured closure mechanisms in AI dialogue systems to prevent user burnout based on observed cognitive fatigue.

Strengths

• Qualitative findings are derived from a multi-method design combining focus groups and functional analysis of 360 conversation turns.
• The study is explicitly framed by the AI device usage acceptance (AIDUA) theoretical model.
• The dataset is openly available under a CC-BY-4.0 license.

Limitations

• The dataset is a 75.4 KB PDF, which is a very small supplementary file likely containing a summary or article rather than raw research data.
• Row count and column-level documentation for any underlying data are unknown.
• The specific geographic or institutional context of the student participants is not provided in the available metadata.

Provenance

Source

figshare

Collection Method

Qualitative design employing focus group interviews and functional analysis of conversation turns.

Freshness

Last updated 2026-05-29 06:15:08.