9/21/2015. Biological Lifestyle Factors in Adult Distance Education. Aims of my dissertation. Earlier findings and mechanisms

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1 Aims of my dissertation Biological Lifestyle Factors in Adult Distance Education Predicting Cognitive and Learning Performance Jérôme Gijselaers First aim: To provide the characteristics of the adult distance student Second aim: To evaluate whether biological lifestyle factors predict learning performance Third aim: To evaluate whether biological lifestyle factors predict cognitive performance Fourth aim: To evaluate whether executive functions mediated the relation between biological lifestyle factors and learning performance 2 Earlier findings and mechanisms doi:.1111/bjet

2 Participants Participants Participants Three student groups: Successful Non-successful Non-starting 24 Difference tested using ANOVA s and Cramer s V Measures related to: demographics; health; life satisfaction; lifestyle; cognitive performance; study intention; living situation; computer abilities; work; restrictions for learning; and medication use 7 8 2

3 Age Age group Age (years) V = Successful Non successful Non starters 9 Sex Native language Men Women P = Not Dutch Dutch P =.2 V =

4 4 Educational level, Body mass index V =.121 Body mass index (kg/m 2 ) 24, 24, Successful Non successful Non starters 22, Life satisfaction (scale score) 26, 24, 24, Life satisfaction RAND-36 Physical functioning Social functioning Physical role limit Emotional role limit Mental health Vitality Pain General health perception Health change 22,

5 Processing speed Shifting 1 27 Processing speed (items finished), 49, 49 48, 48 Shifting (in seconds) P =.47 47, Updating Expected study hours 6,2 16 Updating (correctly answered items) 6,8,6,4,2 4,8 4,6 4,4 P =.31 Hours per week ,

6 Study goal Specific study goal One or more courses Short study program Bachelor degree Master degree Premaster Orientation No specific goal V =.9 Expected modules to finish 3, 3 2, 2 1, 1, Successful Non successful Non starters Hours per week Work hours Variables not mentioned Nationality Educational level of the partner Alcohol consumption Smoking Study motive Living situation Number of children living at home Computer abilities Work hours/work type 22 Learning restrictions 24 6

7

8 Prediction of cognitive performance 29 Prediction of cognitive performance Mediation of executive functions

9 General conclusion Discussion Healthy and satisfied students are more likely to be successful Learning performance is not predicted by biological lifestyle factors Executive functions are not predicted by biological lifestyle factors No mediation therefore present Different educational setting Different population characteristics Limitations in the measurement of biological lifestyle factors Thus: biological perspective does not provide a useful pathway to follow Biological Lifestyle Factors in Adult Distance Education Predicting Cognitive and Learning Performance Jérôme Gijselaers Data paper on the ALOUD study, doi:.1111/bjet Contact me linkedin.com/in/hgijselaers hgijselaers.wordpress.com 9

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