“A combined experimental and individual-differences investigation into mind wandering during a video lecture”: Correction to Kane et al. (2017).

2018 ◽  
Vol 147 (4) ◽  
pp. 611-611
2017 ◽  
Vol 146 (11) ◽  
pp. 1649-1674 ◽  
Author(s):  
Michael J. Kane ◽  
Bridget A. Smeekens ◽  
Claudia C. von Bastian ◽  
John H. Lurquin ◽  
Nicholas P. Carruth ◽  
...  

2020 ◽  
Vol 10 (3) ◽  
pp. 51
Author(s):  
DongMin Jang ◽  
IlHo Yang ◽  
SeoungUn Kim

The purpose of this study was to detect mind-wandering experienced by pre-service teachers during a video learning lecture on physics. The lecture was videotaped and consisted of a live lecture in a classroom. The lecture was about Gauss's law on physics. We investigated whether oculomotor data and eye movements could be used as a marker to indicate the learner’s mind-wandering. Each data was collected in a study in which 24 pre-service teachers (16 females and 8 males) reported mind-wandering experience through self-caught method while learning physics video lecture during 30 minutes. A Tobii Pro Spectrum (sampling rate: 300 Hz) was used to capture their eye-gaze during learning Gauss's law through a course video. After watching the video lecture, we interviewed pre-service teachers about their mind-wandering experience. We first used the self-caught method to capture the mind-wandering timing of pre-service teachers while learning from video lectures. We detected more accurate mind-wandering segments by comparing fixation duration and saccade count. We investigated two types of oculomotor data (blink count, pupil size) and nine eye movements (average peak velocity of saccades; maximum peak velocity of saccades; standard deviation of peak velocity of saccades; average amplitude of saccades; maximum amplitude of saccades; total amplitude of saccades; saccade count/s; fixation duration; fixation dispersion). The result was that the blink count could not be used as a marker for mind-wandering during learning video lectures among them (oculomotor data and eye movements), unlike previous literatures. Based on the results of this study, we identified elements that can be used as mind-wandering markers while learning from video lectures that are similar to real classes, among the oculomotor data and eye movement mentioned in previous literatures. Additionally, we found that most participants focused on past thoughts and felt unpleasant after experiencing mind-wandering through interview analysis.


2012 ◽  
Vol 21 (3) ◽  
pp. 1097-1108 ◽  
Author(s):  
David Marcusson-Clavertz ◽  
Devin B. Terhune ◽  
Etzel Cardeña

2020 ◽  
Author(s):  
Michael J. Kane ◽  
Nicholas Carruth ◽  
John Lurquin ◽  
Paul Silvia ◽  
Bridget Anne Smeekens ◽  
...  

This study investigated what academic traits, attitudes, and habits predict individual differences in task-unrelated thought (TUT) during lectures, and whether this TUT propensity mediates associations between academic individual differences and course outcomes (final grade and situational interest evoked by material). Undergraduates (N=851) from 10 psychology classes at two U.S. universities responded to thought probes presented during two early-course lectures; they also indicated sitting in the front, middle, or back of the classroom. At each probe, students categorized their thought content, such as indicating on-task thought or TUT. Students also completed online, academic-self-report questionnaires at the beginning of the course and a situational interest questionnaire at the end. Average TUT rate was 24% but individuals’ rates varied widely (SD=18%). TUT rates also increased substantially from the front to back of the classroom, and modestly from the first to second half of class periods. Multiple-group analyses (with 10 classroom groups) indicated that: (a) classroom media-multitasking habits, initial interest in the course topic, and everyday propensity for mind-wandering and boredom accounted for unique variance in TUT rate (beyond other predictors); (b) TUT rate accounted for unique (modest) variance in course grades and situational interest; and (c) classroom media multitasking and propensity for mind-wandering and boredom had indirect associations with course grades via TUT rate, and these predictor variables, along with initial interest, had indirect associations with end-of-term situational interest via TUT rate. Some academic traits and behaviors predict course outcomes in part because they predict off-task thought during class.


Author(s):  
Michael J. Kane ◽  
Nicholas P. Carruth ◽  
John H. Lurquin ◽  
Paul J. Silvia ◽  
Bridget A. Smeekens ◽  
...  

AbstractThis study investigated what academic traits, attitudes, and habits predict individual differences in task-unrelated thought (TUT) during lectures, and whether this TUT propensity mediates associations between academic individual differences and course outcomes (final grade and situational interest evoked by material). Undergraduates (N = 851) from ten psychology classes at two US universities responded to thought probes presented during two early-course lectures; they also indicated sitting in the front, middle, or back of the classroom. At each probe, students categorized their thought content, such as indicating on-task thought or TUT. Students also completed online, academic-self-report questionnaires at the beginning of the course and a situational interest questionnaire at the end. Average TUT rate was 24% but individuals’ rates varied widely (SD = 18%). TUT rates also increased substantially from the front to back of the classroom, and modestly from the first to second half of class periods. Multiple-group analyses (with ten classroom groups) indicated that: (a) classroom media-multitasking habits, initial interest in the course topic, and everyday propensity for mind-wandering and boredom accounted for unique variance in TUT rate (beyond other predictors); (b) TUT rate accounted for unique (modest) variance in course grades and situational interest; and (c) classroom media multitasking and propensity for mind-wandering and boredom had indirect associations with course grades via TUT rate, and these predictor variables, along with initial interest, had indirect associations with end-of-term situational interest via TUT rate. Some academic traits and behaviors predict course outcomes in part because they predict off-task thought during class.


2018 ◽  
Author(s):  
Matt Welhaf ◽  
Bridget Anne Smeekens ◽  
Paul Silvia ◽  
Matt Ethan Meier ◽  
Thomas Richard Kwapil ◽  
...  

We conducted an exploratory study of adult individual differences in the contents of mind-wandering experiences and in the moment-to-moment consistency of that off-task thought content within tasks. This secondary analysis of a published dataset (Kane et al., 2016) examined the content-based thought reports that 472-541 undergraduates made within five probed tasks across three sessions, and tested whether executive-control abilities (working memory capacity [WMC], attention-restraint ability), or personality dimensions of schizotypy (positive, disorganized, negative), predicted particular contents of task-unrelated thought (TUT) or the (in)stability of TUT content across successive thought reports. Latent variable models indicated trait-like consistency in both TUT content and short-term TUT content stability across tasks and sessions; some subjects mind-wandered about some things more than others, and some subjects were more temporally consistent in their TUT content than were others. Higher executive control was associated with more evaluative thoughts about task performance and fewer thoughts about current physical or emotional states; higher positive and disorganized schizotypy was associated with more fantastical daydream and worry content. Contrary to expectations, executive ability correlated positively with TUT instability: higher-ability students had more shifting and varied TUT content within a task. Post hoc analysis suggested that better executive control predicted inconsistent TUT content because it also predicted shorter streaks of mind-wandering; tuning back in to task-related thought may decouple trains of off-task thought and afford novel, spontaneous, or cued thought content. [Data, sample analysis scripts and output, and manuscript preprint are available via the Open Science Framework: https://osf.io/guhw7/.]


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