How important is understanding working memory maintenance?4 answersUnderstanding working memory maintenance is important for several reasons. Firstly, developmental improvements in working memory maintenance have been shown to predict real-world outcomes, such as educational attainment. Secondly, studying how working memories are maintained and read out can help us better understand memory-guided behavior and the neural basis of memory maintenance. Additionally, research has shown that delay-period neural activity in sensory regions, such as the anterior piriform cortex, is important for active information maintenance in working memory. Furthermore, factors such as the number of distractors and cognitive load can impact the long-term retention of working memory traces. Finally, considering a broader range of mechanisms for maintaining information in working memory can provide valuable insights into cognitive processes.
What are the theoritical frameworks that best fit for tracer study?5 answersTracer studies in higher education can be supported by various theoretical frameworks. One such framework is the Laravel framework, which was used to develop a website-based Tracer Study system. Another framework that can be used is the Dynamic System Development Method (DSDM), which was employed to develop an intelligent agent-based tracer study system. The Yii2 framework is also suitable for developing tracer study systems, as it provides reliability and supports the speed of information software development. Additionally, the tracer study system at Universitas Mulawarman was designed to meet the information needs of accreditation processes at various levels, including program study, faculty, university, and Dikti. These frameworks and approaches contribute to the development of effective tracer study systems that can gather data on graduates and support decision-making processes in higher education institutions.
What are the theoretical frameworks used in tracer studies?5 answersTracer studies utilize different theoretical frameworks to gather and analyze data. One approach is the use of the Laravel framework, which was implemented in a website-based tracer study system to gather alumni information. Another framework used is the Dynamic System Development Method (DSDM), which was employed to develop an intelligent agent-based tracer study system. The waterfall model was also utilized in a web-based tracer study to make the process more effective and efficient. Additionally, tracer tests have been used as a tool to study field parameters governing subsurface contaminant transport, although there are challenges in incorporating natural and technical factors into interpretation procedures. Finally, tracer studies themselves can serve as a theoretical framework for evaluating the spread of information and the impact of virtual communities of practice.
What are some theoretical frameworks that can be used in tracer studies of graduates?5 answersTracer studies of graduates can utilize several theoretical frameworks. One such framework is the expectancy theory, which suggests that graduates believe that the learnings and training in their program are essential for their success as entrepreneurs. Another framework is the Analysis of Variance (ANOVA), which can be used to analyze the significant degree of variance among curricular structures, skills, and competencies in relation to employability. Additionally, the survey method can be employed to assess the impact of a program on graduates' employability and professional competencies. Tracer studies can also incorporate intelligent systems and artificial intelligence (AI) to track and monitor graduates, providing decision support and performance measurement. Finally, descriptive-quantitative research design can be used to trace the employability and professional development of graduates, collecting data on their demographic profile, employment status, and perception of the relevance of their degree to their employment.
Does Working Memory Training Transfer? A Meta-Analysis Including Training Conditions as Moderators?3 answersWorking memory training has been the subject of much debate and controversy. A meta-analysis of multiple studies was conducted to examine the transfer effects of working memory training and to identify potential moderators. The results showed significant near-transfer effects to short-term and working memory skills, which were sustained at follow-up. However, far-transfer effects to other cognitive skills were small and not sustained at follow-up. The duration of training sessions and supervision during training were found to influence transfer effects, including far-transfer effects. The findings suggest that working memory training can improve narrow-task performance and basic cognitive functions within the trained domain. However, the evidence for transfer to other cognitive functions is mixed. Further research is needed to better understand the factors that moderate transfer effects and to explore the potential benefits of working memory training in everyday life.
Does working memory transfer to long term memory?4 answers