A person-centered approach to homework behavior: Students’ characteristics predict their homework learning type

The effectiveness of social media and in-person interventions for low back pain conditions in nursing personnel (SMILE)

AIM

To compare two educational approaches to reduce low back pain in nurses.

DESIGN

A community randomized controlled clinical trial.

METHODS

Data were collected with two interventions and a control arm between August 2018 and January 2019. Participants were recruited from three hospitals. Hospital 1 received an in-person educational programme, Hospital 2 received via the website and Hospital 3 received nothing. Statistical analysis was carried out with a follow-up of 3 and 6 months.

RESULTS

A total of 180 female nurses with low back pain participated in the study. Dimensions of the quality of life improved over 3 and 6 months, pain and disability decreased over 3 months in both intervention groups and over 6 months in the social media group.

CONCLUSION

Two educational approaches can be effective in decreasing pain, disability and improving quality of life. However, the findings suggest that the social media approach was more successful over the long-term and might be a better way to present the programme.

Effects of Parental Autonomy Support and Teacher Support on Middle School Students' Homework Effort: Homework Autonomous Motivation as Mediator

The present study tested whether students’ autonomous motivation mediated the association between adult support (parental autonomy support, teacher support) and students’ homework effort. A sample of 666 Chinese middle school students was recruited to complete the parental autonomy support questionnaire, teacher support questionnaire, homework autonomous motivation questionnaire and homework effort questionnaire. Structural equation modeling showed that both parental autonomy support and teacher support positively predicted mathematics homework effort, and mathematics homework autonomous motivation was a mediator in these associations. The present study reveals the importance of adult support and autonomous motivation, and has theoretical and practical implications.

Personality and Intelligence Interact in the Prediction of Academic Achievement

Personality predicts academic achievement above and beyond intelligence. However, studies investigating the possible interaction effects between personality and intelligence when predicting academic achievement are scarce, as is the separate investigation of broad personality factors versus narrow personality facets in this context. Two studies with 11th grade students (Study 1: N = 421; Study 2: N = 243) were conducted to close this research gap. The students completed the Intelligence-Structure-Test 2000 R measuring general reasoning ability, and a well-established personality inventory based on the Five Factor Model. Academic achievement was operationalized via Grade Point Average. Using hierarchical regression and moderation analyses, Study 1 revealed that Conscientiousness interacted with intelligence when predicting academic achievement: there was a stronger association between intelligence and academic achievement when students scored higher on the Conscientiousness scale. Study 2 confirmed the findings from Study 1 and also found a moderation effect of Neuroticism (stronger association between intelligence and academic achievement with lower values on the Neuroticism scale). Analyses at the facet level revealed much more differentiated results than did analyses at the domain level, suggesting that investigating personality facets should be preferred over investigating personality domains when predicting academic achievement.