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501.
Since Perry first proposed that students’ beliefs about knowledge and knowing were an important aspect of learning, there has been a proliferation of models of epistemic cognition, and empirical studies of how epistemic cognition relates to learning. Unfortunately, the dominant means of measuring epistemic cognition, self-report instruments, have numerous psychometric problems. These problems prompted us to return to interview methods used by Perry and other seminal researchers, to investigate the degree to which current epistemic cognition models aligned with novices’ and experts’ cognition. Using an exploratory, multiple case qualitative design, we interviewed middle school students and university professors from two domains, biology and history. We found numerous ways in which the current conceptualizations and measures of beliefs about knowledge and knowing may need to be altered. Our recommendations range from the revision of item wordings to a complete rethinking of the very idea of domain-specificity in epistemic cognition research. 相似文献
502.
503.
Many adolescents, particularly adolescents with disabilities, have difficulty with literacy tasks such as reading and writing. Yet research has found that when students with disabilities receive appropriate instruction, they typically are able to improve their overall writing outcomes. This study explored the effectiveness of a summary writing strategy taught through a mnemonic device (WINDOW) with prompts for self-regulation on the summary writing and reading comprehension of high school students with disabilities. Results indicated that the students who received the intervention wrote longer and higher quality summaries and improved their reading comprehension scores after learning the strategy when compared to a control group. These outcomes indicate that the WINDOW strategy may have the potential to improve reading and writing outcomes for high school students with disabilities. Implications for practice and future research are discussed. 相似文献
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505.
George Cooper Katherine Burton Alejandra Black Mokheseng Buti Geraldine Richards Ginny Herbert Emma Lockwood Janet Remmington 《Learned Publishing》2023,36(1):58-67
- Collaboration between publishers and learned society partners can accelerate and amplify DEIA outcomes.
- 97 HSS titles have adopted alt-text publication workflows and this change has been welcomed by journal authors and editors.
- Efforts to promote global inclusivity do not always result in greater membership diversity, retention and growth.
- Top-down, publisher-led DEIA initiatives are effective when they are aligned strategically to pre-existing society initiatives.
- Bottom-up, member-led DEIA initiatives benefit from publisher support to mitigate financial and time-based barriers to active participation.
- To reliably track DEIA outcomes, publishers ought to adopt systematic data collection strategies through initiatives like C4 and the Joint Commitment.
506.
It has been widely claimed that reductions in allocated teaching time and the widespread implementation of short-cut teaching methodologies have led to a shortfall in anatomy knowledge among graduating doctors. This decline in knowledge is evident in the failure of anatomy content to prepare graduates for contemporary clinical practice. The implications for postgraduate surgical training are addressed in the numerous extracurricular anatomy courses available to surgical candidates. This paper focuses on genital diversity and its relevance to non-surgical graduates, thus highlighting another potential impact of this knowledge shortfall on frontline clinic consultations. As the gender revolution and female genital cosmetic surgery industry flourish, nothing in contemporary anatomy textbooks addresses issues of diversification of female genitalia nor gives medical graduates a realistic view of what is normal regarding female genital appearance. 相似文献
507.
Jonathan C. Hilpert Jeffrey A. Greene Matthew Bernacki 《British journal of educational technology : journal of the Council for Educational Technology》2023,54(5):1204-1221
Capturing evidence for dynamic changes in self-regulated learning (SRL) behaviours resulting from interventions is challenging for researchers. In the current study, we identified students who were likely to do poorly in a biology course and those who were likely to do well. Then, we randomly assigned a portion of the students predicted to perform poorly to a science of learning to learn intervention where they were taught SRL study strategies. Learning outcome and log data (257 K events) were collected from n = 226 students. We used a complex systems framework to model the differences in SRL including the amount, interrelatedness, density and regularity of engagement captured in digital trace data (ie, logs). Differences were compared between students who were predicted to (1) perform poorly (control, n = 48), (2) perform poorly and received intervention (treatment, n = 95) and (3) perform well (not flagged, n = 83). Results indicated that the regularity of students' engagement was predictive of course grade, and that the intervention group exhibited increased regularity in engagement over the control group immediately after the intervention and maintained that increase over the course of the semester. We discuss the implications of these findings in relation to the future of artificial intelligence and potential uses for monitoring student learning in online environments.
Practitioner notes
What is already known about this topic- Self-regulated learning (SRL) knowledge and skills are strong predictors of postsecondary STEM student success.
- SRL is a dynamic, temporal process that leads to purposeful student engagement.
- Methods and metrics for measuring dynamic SRL behaviours in learning contexts are needed.
- A Markov process for measuring dynamic SRL processes using log data.
- Evidence that dynamic, interaction-dominant aspects of SRL predict student achievement.
- Evidence that SRL processes can be meaningfully impacted through educational intervention.
- Complexity approaches inform theory and measurement of dynamic SRL processes.
- Static representations of dynamic SRL processes are promising learning analytics metrics.
- Engineered features of LMS usage are valuable contributions to AI models.