Gender differences in motivation and strategy use in science: Are girls rote learners?

This study explored Ridley and Novak's (1983) hypothesis that gender differences in science achievement are due to differences in rote and meaningful learning modes. To test this hypothesis, we examined gender differences in fifth- and sixth-grade students' (N = 213) self-reports of confidence, motivation goals (task mastery, ego, and work avoidance), and learning strategies (active and superficial) in whole-class and small-group science lessons. Overall, the results revealed few gender differences. Compared with girls, boys reported greater confidence in their science abilities. Average-achieving girls reported greater use of meaningful learning strategies than did their male counterparts, whereas low-ability boys reported a stronger mastery orientation than did low-ability girls. The results further showed that students report greater confidence and mastery motivation in small-group than whole-class lessons. In contrast, students reported greater work avoidance in whole-class than small-group lessons. In general, the findings provide little support for Ridley and Novak's hypothesis that girls tend to engage in rote-level learning in science classes. Differences in self-reports of motivation and strategy-use patterns were more strongly related to the student's ability level and to the structure of learning activities (small group vs. whole class) than to gender. © 1996 John Wiley & Sons, Inc.     

Evening electronic device use and sleep patterns in athletes

The present study aimed to investigate pre-sleep behaviours (including evening electronic device use) and sleep quantity in well-trained athletes. Seventy well-trained athletes (44 females, 26 males) aged 21 ± 4 y from a range of team and individual sports were asked to complete an online sleep diary for 7 days. The sleep diary included questions about pre-sleep behaviours (e.g. napping, caffeine intake), electronic device use in the 2 h prior to bedtime (e.g. type of device and duration of use) and sleep (e.g. time in bed, sleep onset latency). On average, athletes spent 8:20 ± 1:21 h in bed each night. Associations between age, time in bed and sleepiness suggested that younger athletes spent more time in bed (B = -0.05, p = 0.001) but felt sleepier (r = -0.32, p < 0.01) than older athletes. On average, athletes mostly used electronic devices for 0–30 min prior to sleep. The use of multiple devices in the evening was associated with more perceived difficulty in falling asleep (B = 0.22, p = 0.03), but no associations existed with other sleep variables. In summary, younger athletes may require later start times or improved sleep quality to resolve excessive sleepiness.