Data_2410.xlsx

This dataset is a collection of evaluations related to educational recommendations or interventions for students with specific learning scenarios, namely "Allophone" (non-native speakers) and "TDAH" (Attention Deficit Hyperactivity Disorder, or ADHD). It is part of a study to assess the pertinence, feasibility, and inclusivity of various teaching strategies, possibly in a classroom setting. The data is structured in two main sections, which I’ll describe below based on the columns and their apparent purpose.<br><br><b>Structure and Columns</b><b>First Section: Evaluation of Recommendations</b><br>The first part of the dataset contains rows with the following columns:uid: Unique identifier for the evaluator (e.g., UID-PY02O01VU).session_number: Indicates the session in which the evaluation occurred (e.g., 1 or 2).recommendation_id: A unique identifier for the specific recommendation being evaluated (e.g., 96, 97, etc.).pertinence: A rating (1–5) assessing how relevant or appropriate the recommendation is.faisabilite: A rating (1–5) assessing the feasibility or practicality of implementing the recommendation.inclusivite: A rating (1–5) assessing how inclusive the recommendation is for the student group.Scenario: The student condition or context, either "Allophone" or "TDAH."Mode: The method of recommendation delivery, either "Typique" (typical/classroom-based) or "AI" (likely AI-generated or chatbot-based).PU: Perceived Usefulness, possibly a score (range varies, e.g., 6–22).PEU: Perceived Ease of Use, possibly a score (range varies, e.g., 6–23).Attitude: Attitude toward the recommendation, possibly a score (e.g., 6 or 10).BI: Behavioral Intention, possibly a score indicating intent to use the recommendation (e.g., 2, 6, or 10).This section logs individual evaluations of recommendations, with each row representing one user’s rating of a specific recommendation in a given session.<br><br><b>Second Section: Detailed Recommendation</b><br>EvaluationsThe second part provides more context about the recommendations and their evaluations, with these columns:session_number, recommendation_id, pertinence, faisabilite, inclusivite, Scenario, Mode: Same as above.Contenu: The content or description of the recommendation (e.g., "proposition des cours spécifiques de la langue française" or "Utiliser un Timer pour que l'enfant reste concentré").Type_Evaluation: The type of evaluation, consistently "Hetero" (likely indicating peer or external evaluation rather than self-evaluation).PU, PEU, Attitude, BI: Same as above.uid_eval: The unique ID of the evaluator (e.g., UID-YOV8V5TYH).uid_source: The unique ID of the source or creator of the recommendation (e.g., UID-Y9GA9MTAP).