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811.
Kate Betts 《海外英语》2009,(3)
Ines de la Fressange,曾经是20世纪80年代最炙手可热的模特儿。她的轻巧自如,她的修长,还有那种如同冒着白色泡沫的啤酒一样的清新味道令她走进超级模特的行列。在世界的眼中,她的一颦一笑是法国式优雅的最佳诠释。 相似文献
812.
Kate Sheridan 《Teaching Artist Journal》2018,16(1-2):40-51
As I began my first year of graduate school - admittedly, a shaky start of my own - a group of my former students began to struggle with their transition to high school. Upon hearing this from my friend, colleague, and their current theatre teacher (who I will call Ms. M), I developed a workshop curriculum focused upon health for the artist to facilitate for her company. Both the development of this curriculum and the facilitation of the workshop itself brought on an incredibly cathartic reflection of my own journey towards prioritizing health as an artist. This is the product of that, with the workshop materials I created interspersed for anyone who may wish to recreate a similar experience for their company - said Ms. M afterwards: “This should be taught every year to every high school and college theatre company - it is just SO important.” I hope you feel the same! 相似文献
813.
Kate Talsma Andrew Chapman Allison Matthews 《British journal of educational technology : journal of the Council for Educational Technology》2023,54(6):1917-1938
Predictors of academic success at university are of great interest to educators, researchers and policymakers. With more students studying online, it is important to understand whether traditional predictors of academic outcomes in face-to-face settings are relevant to online learning. This study modelled self-regulatory and demographic predictors of subject grades in 84 online and 80 face-to-face undergraduate students. Predictors were effort regulation, grade goal, academic self-efficacy, performance self-efficacy, age, sex, socio-economic status (SES) and first-in-family status. A multi-group path analysis indicated that the models were significantly different across learning modalities. For face-to-face students, none of the model variables significantly predicted grades. For online students, only performance self-efficacy significantly predicted grades (small effect). Findings suggest that learner characteristics may not function in the same way across learning modes. Further factor analytic and hierarchical research is needed to determine whether self-regulatory predictors of academic success continue to be relevant to modern student cohorts.
Practitioner Notes
What is already known about this topic- Self-regulatory and demographic variables are important predictors of university outcomes like grades.
- It is unclear whether the relationships between predictor variables and outcomes are the same across learning modalities, as research findings are mixed.
- Models predicting university students' grades by demographic and self-regulatory predictors differed significantly between face-to-face and online learning modalities.
- Performance self-efficacy significantly predicted grades for online students.
- No self-regulatory variables significantly predicted grades for face-to-face students, and no demographic variables significantly predicted grades in either cohort.
- Overall, traditional predictors of grades showed no/small unique effects in both cohorts.
- The learner characteristics that predict success may not be the same across learning modalities.
- Approaches to enhancing success in face-to-face settings are not automatically applicable to online settings.
- Self-regulatory variables may not predict university outcomes as strongly as previously believed, and more research is needed.