Survey Data on Co-Designing a Robotic Pedagogic Agent with 35 Pre-Service Teachers

35 pre-service primary education teachers participated in a co-design experiment for a robotic Pedagogic Conversational Agent (PCA) during the 2021/2022 academic year. The dataset likely contains survey responses and design feedback, with 97% of participants believing the robot PCA could help children learn programming. The data was authored by Pérez-Marín, Diana and harvested via the e-cienciaDatos Dataverse.

Use Cases

• Analyze teacher acceptance of AI teaching assistants based on survey responses mentioned in the description
• Study co-design methodologies for educational technology based on the experiment with pre-service teachers
• Model factors influencing technology integration in classrooms based on the reported beliefs and intentions
• Compare pre- and post-training attitudes towards Pedagogic Conversational Agents

Strengths

• Experiment involved 35 pre-service teachers, providing a defined sample size
• Survey results include specific percentages: 97% belief in utility and 80% willingness to use
• Data is associated with a published research paper exploring a clear hypothesis

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data may reflect temporal and participant bias inherent to a single academic year and a specific training program

Provenance

Source

Pérez-Marín, Diana via e-cienciaDatos Harvested Dataverse

Collection Method

Likely gathered via surveys and design sessions during a co-design experiment.

Time Range

2021/2022 academic year

Freshness

Last updated 2025-10-21 17:12:48; freshness should be verified

Geography

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