Using Socratic AI to Support Research Question Development Among Pre-Service Biology Teachers
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The sample comprised 65 pre-service teachers, of whom 36 were assigned to the Socratic Tutor condition and 29 to the non-socratic Tutor condition. Overall, 62% of participants were female, with comparable proportions in the Socratic Tutor (61%) and non-socratic Tutor (62%) conditions, p = .938. Participants had a mean age of 23.45 years (SD = 4.98); the mean age was 23.28 years (SD = 5.19) in the Socratic Tutor condition and 23.66 years (SD = 4.81) in the non-socratic Tutor condition, p = .762. Participants were, on average, in their 4.72nd semester (SD = 4.57), with similar values in the Socratic Tutor (M = 4.78, SD = 5.39) and non-socratic Tutor (M = 4.66, SD = 3.36) conditions, p = .911. A multivariate analysis of variance based on Pillai’s trace indicated no joint baseline differences between the conditions in gender, age, and number of semesters, p = .985.
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Annotations:
Variable within the sessions. 100% response rate is based on session No. 1
Geographic Coverages
Germany:
Kassel
Documents related to the Survey
| Title | Description | Document Language | DOI | File |
|---|---|---|---|---|
| Vollständiger Fragebogen zu: Einsatz sokratischer KI zur Förderung der Forschungsfragenentwicklung von Lehramtsstudierenden der Biologie | The questionnaire combines constructs derived from Unified Theory of Acceptance and Use of Technology (UTAUT) based research on AI tool adoption (Venkatesh, 2022) with items adapted from the AI-chatbot perception scale developed by Stöhr et al. (2024). Items were adapted to the educational AI context and administered in German. | German |
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Survey_Printed.pdf |