Data for:GenAI-Assisted Learning Behaviors and Systems Thinking of Medical Students in Ill-Structured Problem Solving

Description

This dataset contains the research data used in the study entitled “Learning Behaviors Related to Systems Thinking and Cognitive Perceptions of Undergraduates in GenAI-Assisted Ill-Structured Problem Solving.” The dataset was collected from undergraduate students who participated in a GenAI-assisted ill-structured problem-solving activity. It includes three main components: (1) behavioral coding data representing students’ learning behaviors during the problem-solving process, (2) systems thinking assessment data based on the Q1–Q8 systems thinking scale and total scores, and (3) behavioral clustering results used to identify different patterns of learning behaviors. The behavioral coding dataset records students’ observable learning behaviors during interactions with GenAI, including information-seeking, analysis, reflection, evaluation, and other cognitive and metacognitive activities. The systems thinking scores represent students’ perceptions and abilities related to systems thinking dimensions. Cluster analysis results are included to support the identification and comparison of behavioral profiles. All data have been anonymized, and no personally identifiable information is included. The dataset is provided to support transparency, reproducibility, and further research on undergraduate learning behaviors, systems thinking development, and GenAI-supported ill-structured problem solving.

Steps to reproduce

1.Download and open the Excel dataset containing the behavioral coding data, cluster results, and systems thinking scores. 2.Use the Behavioral coding data sheet to examine students’ learning behaviors during the GenAI-assisted ill-structured problem-solving activity. The coded behavioral sequences can be analyzed to identify patterns and frequencies of different learning behaviors. 3.Use the Cluster sheet to obtain the behavioral pattern classifications of participants. The cluster labels can be used to compare differences among students with different behavioral profiles. 4.Use the Q1–Q8 systems thinking score and Total score sheets to access participants’ systems thinking assessment results. 5.Merge the behavioral coding data, cluster information, and systems thinking scores using the anonymous participant identifier (Participant_ID). 6.Conduct statistical analyses to examine the relationships between learning behaviors, behavioral patterns, and systems thinking outcomes in GenAI-assisted ill-structured problem solving.

Institutions

• China Medical University

  Liaoning, Shenyang

Categories

Licence