Data from an eye-tracking based study of solution strategies in similar mathematical and physical tasks

<p>Eye-tracking data:</p> <p>The .nas file &quot;ET_data&quot; contains the eyetracking project in software tobii studio with gaze data of all 131 participants.<br> To open this project, the software tobii studio is required.</p> <p>----------------------------------------<br> Interview data:</p> <p>All .txt files contain transcribed interview data in German language.&nbsp; &nbsp;<br> The files are labeled by subject number (e.g., P01 for the first participant) and the item for which the interview was recorded (e.g., M8).<br> The files contain interview data of participants explaining their solution strategy for the given item.</p> <p>----------------------------------------<br> Descriptive data:</p> <p>The file descriptive_data.csv contains the descriptive data of all participants (N=131).<br> The column labels are as follows:</p> <p>code: code of participant, p01-p131&nbsp;&nbsp; &nbsp;<br> survey_period: survey period, summer_2021 / autumn_2020 / spring_2020<br> age: age of participant in years&nbsp;&nbsp; &nbsp;<br> grade: grade of participant&nbsp;&nbsp; &nbsp;<br> gen: gender, male (m) / female (f) / diverse (d)&nbsp;&nbsp; &nbsp;<br> ger_nat_speak: German native speaker, yes / no&nbsp;&nbsp; &nbsp;<br> repeater: Repeater of the last grade?, yes / no<br> math_course: basic course (basic) or advanced course (advanced) in mathematics<br> physics_course: basic course (basic) or advanced course (advanced) in physics<br> grade_math: last grade in mathematics, 1-6&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;<br> grade_phy: last grade mark in physics, 1-6&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;<br> grade_ger: last report mark in german, 1-6&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;<br> glasses: wearer of glasses?, yes / no<br> motivation: four-point lickert scale, very motivated (1) to not motivated at all (0)&nbsp;&nbsp; &nbsp;<br> test: physics tasks before math tasks (pm) or vice versa (mp)&nbsp;&nbsp; &nbsp;<br> For each test item 2 columns are created. Example Item k1:<br> &nbsp;&nbsp; &nbsp;ac_k1: answer correctness of item k1, not correct and/or guessed (0), correct (1).&nbsp;&nbsp; &nbsp;<br> &nbsp;&nbsp; &nbsp;cf_k1: confidence of item k1, four-point lickert scale, very confident (1) to guessed (0)&nbsp;&nbsp;&nbsp;</p>