درخت حوزه‌های تخصصی

This case study examined the adaptivity of learning transfer from an English for general academic purposes course to different disciplinary writing contexts. Data were collected at the end of one academic semester from 7 students of engineering disciplines enrolled in the writing course. Their EGAP writing course lasted for 16 weeks over which they were taught The St. Martin's Handbook, 6th Edition. The participants’ disciplinary writings together with interview transcripts served as the data sources for the extraction of adaptive transfers and also the processes of realizing the transfers. Adaptive transfers were identified by participants. Findings indicated that learning outcomes can transfer adaptively through a variety of processes to accommodate to the new writing demands. The results showed that the participants could adapt their learning along two broad dimensions of transfer, ‘idea generation’ (IG) and ‘text construction’ (TC) with the former involving ‘explication’ and ‘integration’ of knowledge and the latter achieved at macro and micro level. Within these adaptive transfers, we found a range of writing issues pursued including ‘goals, topics, logics, propositions, integrity, disciplinarity, linearity, paragraphing and linguistic resources’. Furthermore, the findings displayed two broad categories of ‘higher order’ and ‘lower order’ processes employed for the realization of adaptive transfers. While higher order processes operated through ‘transformative and evaluative’ mechanisms, the lower order processes involved two categories of ‘avoidance and affordance’, with the former as an attempt to refrain from going wrong and the latter as an effort to generate adaptivity. The findings for L2 writing are theoretically discussed.

Background: The Coronavirus not only affects physical health, but the outbreak of this virus can also have devastating psychological effects. To treat and diagnose, these impacts should be identified. This study aimed to investigate the role of Perfectionism and Self-compassion in predicting Coronavirus anxiety. Method: The sample consisted of 292 participants who responded online to the Coronavirus Anxiety Inventory, the Hewitt and Flett Multidimensional Perfectionism Scale (HF-MPS), and Self-Compassion Scale-Short Form (SCS-SF). Data were analyzed by correlation and multiple regression analysis. Results: The results have shown that the dimensions of perfectionism, and Self-compassion, predict Coronavirus anxiety (P <0.001). Also, Mindfulness and Common humanity, from Self-compassion components, could predict Coronavirus anxiety significantly (P <0.001). Conclusion: These findings indicate that Perfectionism is effective in exacerbating Coronavirus anxiety, and Self-compassion is effective in modulating it. These variables can play an important role in general health policies, the diagnosis, prevention, and treatment of Coronavirus anxiety.