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Generative AI in instructional design

Participant Information • Free and Informed Consent

FR Français: Ce questionnaire est entièrement disponible en anglais et en français. Vous pouvez modifier la langue à tout moment à l'aide du menu situé en haut de cette page.

EN English: This questionnaire is fully available in English and French. You can change the language at any time using the menu at the top of this page.

Participant Information

Questionnaire conducted as part of a university research study

Welcome and thank you for taking a few minutes to complete this questionnaire.

This survey aims to better understand the use of generative artificial intelligence (AI) in the professional practice of instructional designers.

Duration

8 to 10 minutes

Privacy

Anonymous and secure

Contribution

Sincere responses

Read the full information sheet (research framework, privacy, GDPR)

1) Research Framework

This research is conducted as part of a Master 2 thesis in Conception, Formation, Technologies et Numérique (CFTN) at the INSPÉ of the University of Strasbourg. It is led by Alireza Shakeraneh, under the supervision of Professor Najoua Mohib, Professor of Educational and Training Sciences and member of the Interuniversity Laboratory for Educational and Communication Sciences (LISEC, UR 2310). This work forms part of a broader reflection on the integration of generative artificial intelligence (AI) in the field of instructional design.

2) Objective of the Study

The objective of this study is to analyze the use of generative artificial intelligence (AI) in the professional practice of instructional designers, as well as the perceived effects of such use. More specifically, the research aims to examine the impact of generative AI on task complexity, the forms of use developed, and the associated temporal reconfigurations.

3) Study Procedure

The study is based on an online questionnaire survey distributed to instructional design professionals (instructional designers, learning engineers, educational designers).

The questionnaire is administered via LimeSurvey. Data are collected through a single administration of the questionnaire for statistical analysis as part of the thesis.

4) Voluntary Participation and Right to Withdraw

Participation is entirely voluntary. Participants may withdraw from the study at any time, without having to provide any justification.

5) Privacy and Data Management

The responses collected through this questionnaire will be processed in accordance with current data protection regulations. No data allowing the direct identification of participants will be collected. The results of the study will be presented in an anonymized and aggregated form. Access to the data is restricted to the student researcher responsible for the study and the thesis supervisor.

6) Protection of Personal Data

The information is collected exclusively for research purposes. The data controller is the University of Strasbourg. The processing is based on the performance of a task carried out in the public interest (Article 6(1)(e) of the GDPR).

You have the rights to access, rectify, and object to the processing of your personal data. Contact:

Alireza Shakeraneh — alireza.shakeraneh@etu.unistra.fr
Data Protection Officer — dpo@unistra.fr

The processing does not involve any transfer of data outside the European Union. In the event of difficulty, a complaint may be lodged with the CNIL.

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This survey is anonymous.

The record of your survey responses does not contain any identifying information about you, unless a specific survey question explicitly asked for it.

If you used an identifying access code to access this survey, please rest assured that this code will not be stored together with your responses. It is managed in a separate database and will only be updated to indicate whether you did (or did not) complete this survey. There is no way of matching identification access codes with survey responses.