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  • Using Socratic AI to Support Research Question Development Among Pre-Service Biology Teachers
    Survey Period:
    Jun 30, 2025 - Jul 22, 2025
    Survey Data Type:
    Quantitative Data
    Data available in:
    German
    DOI:
    10.21249/DZHW:sokrateski:1.0.0
    Published at:
    Sep 8, 2026
    Version:
    Access Way:
    SUF: Remote-Desktop
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Data Package sokrateski

Details

Institution(s):
University of Kassel
Sponsored by:
  • No funding
Project Contributors:
Degen, Peer-Benedikt Vincent ORCID logo
Survey Design:
Cross-Section 
Survey Data Type:
Quantitative Data
Data available in:
German
Data Curation:
Degen, Peer-Benedikt Vincent ORCID logo;
Daniel, Andreas ORCID logo
DOI:
Version:
1.0.0 (published at Sep 8, 2026)
Allowed use cases:
  • scientific use
Special restrictions for the data use:

-

Data Package Description

Data package description
This data package contains the anonymised study data and analysis-ready files from a feasibility study investigating AI-mediated instructional guidance for the development of research questions among pre-service biology teachers.
The study compared two experimental conditions:
Socratic Tutor, in which the AI system was instructed to support students through structured Socratic questioning and dialogic guidance; and
Non-socratic Tutor, in which students interacted with an AI chatbot without the corresponding pedagogical instruction.
The dataset comprises 123 session-level observations from 65 unique participants. Because some participants took part in more than one study session, participant identifiers occur repeatedly across rows. The variable PersonID identifies individual participants and should therefore be used when accounting for the repeated-measures structure of the data.

The final sample consists of:
36 participants in the Socratic Tutor condition
29 participants in the Non-socratic Tutor condition
65 participants in total

The dataset includes, among other variables:

  • experimental condition
  • participant identifier
  • study group and session information
  • demographic information, including age, gender, and number of university semesters
  • variables relating to the research-question-development tasks
  • participant responses and evaluation measures collected during the study

Documents related to this Data Package

Data Package

Title Description Document Language DOI File
AI-mediated instructional guidance: Mixed-method quasi-experimental study on Socratic AI for supporting research question development  Presentation on the methodological approach and findings of the Skokrates AI study  English link_off AI_mediated_guidance_graphical_abstract_1328_531.pdf
Release Notes  The release notes contain information about the current version and changes compared to previous versions.  English link_off sokrateski_ReleaseNotes.md

Surveys

Instruments

Type Description Document Language DOI File
Questionnaire  Instrument of "Using Socratic AI to Support Research Question Development Among Pre-Service Biology Teachers", survey 1  German  link_off Fragebogen_Socrates_AI_Survey_Printed.pdf

Data Sets

Title Description Document Language DOI File
Variable Names Identifiers  The document contains variable labels for the variables included in the dataset  German link_off Variable_names_identifiers.xlsx

Related Objects

Surveys (1) Instruments Questions Data Sets Variables Publications Concepts
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Quantitative Data, Standardised online survey 
Population: 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-soc... 
Sampling Procedure: Non-probability Sample: Availability Sample 
Field Period: Jun 30, 2025 - Jul 22, 2025
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