Analyzing text-to-speech usage in math assessments: proficiency-specific implication and insights

Current predictions highlight major climate-related impacts on coastal cities around the world. At the same time, wetlands provide important services and habitats for both natural and anthropogenic activities and could play an important role in mitigating these impacts in coastal areas. However, due to the increasing population and associated urban growth, endemic coastal wetlands are still being reclaimed for urban development. Approaches balancing urban and wetland functions and needs could, therefore, play a key role in the future sustainable development of both the urban and natural environments. Based on a systematic literature review, this chapter maps urban-wetland interactions by combining key principles derived from state-of-the-art theoretical descriptions of urban-ecosystem relationships in urban design with site-specific wetland functions and design strategies. State-of-the-art theoretical urban frameworks that define sustainable urban-ecological relationships are used to identify key underlying principles which are further compared to assess overlaps and differences. To connect theoretical principles to practical context-dependant functions and design strategies, coastal wetland functions are analysed and categorized in relation to the identified theoretical framework characteristics. Theoretical principles and practical design strategies are then combined using a visual system thinking concept map, to provide a map of urban-wetland systems and relationships.

Nowadays a future oriented product development and design of capital goods should consider a design for recycling and maintenance. So new practical design strategies and methods are needed Tn this raper there is given a method-oriented basis for the development of practical and flexible design strategies and methods for the design for recycling and maintenance of capital goods. Also some examples of strategies and methods are given as an illustration.

The purpose of this chapter is to provide practical lesson ideas and instructional strategies that put students in charge of their learning in all artistic processes—creating, performing, and responding. In addition to specific lesson ideas, the chapter addresses what teachers should expect as they transition away from the role of the "sage on the stage" and become the "guide on the side." Learner-centered pedagogy lends itself well to students working in cooperative learning groups; however, teachers need strategies for empowering students to resolve conflicts within their group and for holding individual students accountable during group work. Furthermore, teachers should expect that when given choice students will integrate popular music into the school setting. Although many educators do not feel comfortable using popular music in their classes, the benefits of its inclusion and strategies for building the teacher's self-efficacy in the use of popular music is outlined. Finally, the chapter includes strategies for differentiating instruction to meet the needs of all learners within the learner-centered model. By offering both specific lesson ideas and practical instructional strategies, this chapter provides a model for increasing learner-centered pedagogy in the elementary general music classroom.

We examined the state of Arkansas, empirically testing how focusing on high-achieving students using state tests might expand the pool of gifted identified students. From a broader sample of 173,133 students, we compared the degree to which students who were academically talented in the top 5% on third-grade state literacy and math assessments were identified as gifted in Arkansas. Across five independent cohorts, we replicated the finding that roughly 30% of the students in the top 5% on both third-grade literacy and math were not identified as gifted. Logistic regression ( N = 3992) indicated that high-achieving students participating in the federal Free/Reduced Lunch program were 50% less likely to be identified. These findings suggest that using state math and literacy assessments as universal screening tools could improve gifted identification of high-achieving students, many from low-income or other disadvantaged backgrounds.

The purpose of this dissertation is to explore the instructional design heuristics for cognitive apprenticeship methods through a Delphi study. The study of learning theory and instructional design provides instructional designers with guidance in both knowledge and skill development along with research-based pedagogy. However, often the theory and models are discarded during course design and development phases when faced with real-world ill-structured instructional design problems. Is it possible to bring the theory and methods closer to the instructional designer, giving them practical expert heuristic methods? The Delphi study empaneled experts to capture practical heuristic instructional design methods and strategies for implementing cognitive apprenticeship in remote teams. It laid the foundation for developing a pragmatic heuristic rendering for cognitive apprenticeship through the concepts of real-world problem-solving, Merrill’s first principles and collaborative learning for remote knowledge workers. The Delphi study had two expert Delphi panels, and four survey rounds, the first survey gathering instructional design heuristics, and the subsequent surveys worked to achieve consensus and ranking for the heuristics in each cognitive apprentice method. The study captured 112 heuristics across the cognitive apprenticeship methods. The goal of capturing and developing consensus across instructional design heuristics was to investigate the development of generalizable a method, pragmatic heuristic rendering, for collecting and evaluating cognitive apprenticeship heuristics for training and coaching remote teams to solve complex ill-structured design problems.

Aging professionals have not always effectively communicated about aging to the general public (Feather, 2015). Due at least in part to this, the public often holds inaccurate, ageist beliefs about older adults and aging services/gerontology has been difficult to promote as a desirable career option (Feather, 2015). The authors address this important issue by proposing a comprehensive learner-oriented, thinking slow (Kahneman, 2013) approach for the asynchronous online gerontology/aging services classroom in order to move students beyond ageist stereotypes to adopt richer views of aging. For asynchronous online aging services/gerontology courses to be learner-oriented and encourage thinking slow, they need to be based on an understanding of cognition and motivation for learning. Thus, this paper presents a theoretical model which addresses the cognitive and motivational aspects of learning in asynchronous online aging services/gerontology courses. It does this by integrating the Cognitive Affective Theory of Learning with Media (CATLM) (Moreno, 2006; Mayer, 2009; Moreno & Mayer, 2007), Pekrun and Stephens’ (2010) Control Value Theory of Achievement Emotion, and further develops the components of the model related to long-term memory storage and retrieval by using insights from Brown, Roediger, and McDaniel (2014). Also, the paper presents practical instructional, course design, and communication strategies as these relate to the components of human cognition and motivation in the model to ensure learner success, satisfaction, and the adoption of more open-mindedness with ways of thinking about aging.

As a key bridge between logging and seismic data, acoustic (AC) logging data is of great significance for reservoir lithology, physical property analysis, and quantitative evaluation, and completing AC logging data can help to obtain high-resolution inversion profiles, which can provide a reliable basis for reservoir geological interpretation. However, in the actual mining process, the AC logging data is always missing due to instrument failure and borehole collapse in many areas, and re-logging is not only expensive but also difficult to achieve. However, the AC data can be completed by other obtained logging parameters. In this paper, a bidirectional gated recurrent unit network based on the Inception module is developed to complete the AC logging data. The Inception module extracts the logging data features and inputs the extracted logging data features into the bidirectional gated recurrent unit network, which can fully consider the characteristics of the current data and the data before and after the logging sequence to complete the missing AC logging data. Experimental results show that the hybrid model (Inception-BiGRU) has higher accuracy than traditional and widely used series forecasting models (gated recurrent unit network and long short-term memory network), and this method also provides a new idea for the completion of AC logging data.

The aim of this article is to provide practical instructional design strategies to foster and enhance learners’ online self-directed learning skills and abilities; especially when accessing massive open online courses (MOOCs) and other forms of open educational resources and OpenCourseWare (OCW). In addition to attempting to understand self-directed online learning, a series of studies was conducted to explore how to motivate learners and enhance students’ self-management and self-monitoring skills in MOOCs. This article offers 15 practical guidelines for fostering learners’ self-directed online learning (SDOL) based on the authors’ past research, including extensive literature reviews, surveys, dozens of MOOC instructor and learner interviews, and many course content analyses. Detailed explanations and examples are provided to help readers understand each of the 15 individual strategies. It is hoped that these instructional design guidelines will be adopted by instructional designers of MOOCs as well as practitioners in their MOOC teaching practices.

Examination of the utility of an algebra-based interview day math assessment to predict academic outcomes in an accelerated pharmacy curricula; A retrospective observational cohort study.

Advocates for reducing the fashion industry’s ecological impact emphasize the importance of Circular Economy (CE) principles, with repair being a vital strategy for extending product lifetimes. The current research aims to go beyond merely identifying the factors that influence consumers' perceptions of repair services and their repair behaviour. It explores the types of repair services people prefer and presents actionable and practical design strategies that companies can adopt to facilitate their transition to CE. A quantitative survey (n=265) was set up to identify preferred repair services and factors influencing willingness to repair. Moreover, a focus group with experts (n=10), used the input generated by the survey to further discuss possible design strategies. The survey findings reveal that although consumers strongly support repair, few actually participate in it. While high costs are identified as a barrier, trust and respect for repair professionals serve as motivators for repair behaviour. Additionally, there is a clear preference for local repair services over those offered by fashion brands. The developed design strategies aim at increasing the visibility of repair services, enhancing consumers' repair skills, and leveraging trust in craftsmanship to improve perceptions of quality. The study concludes that improving repair service quality through these design strategies will extend the lifespan of clothing and footwear, crucial for the CE transition. Future research should explore the practical implementation of the proposed strategies and look for possible cultural differences.

Lithology identification is fundamental for the logging evaluation of natural gas hydrate reservoirs. The Sanlutian field, located in the permafrost zones of the Qilian Mountains (PZQM), presents unique challenges for lithology identification due to its complex geological features, including fault development, missing and duplicated stratigraphy, and a diverse array of rock types. Conventional methods frequently encounter difficulties in precisely discerning these rock types. This study employs well logging and core data from hydrate boreholes in the region to evaluate the performance of four data-driven machine learning (ML) algorithms for lithological classification: random forest (RF), multi-layer perceptron (MLP), logistic regression (LR), and decision tree (DT). The results indicate that seven principal lithologies—sandstone, siltstone, argillaceous siltstone, silty mudstone, mudstone, oil shale, and coal—can be effectively distinguished through the analysis of logging data. Among the tested models, the random forest algorithm demonstrated superior performance, achieving optimal precision, recall, F1-score, and Jaccard coefficient values of 0.941, 0.941, 0.940, and 0.889, respectively. The models were ranked in the following order based on evaluation criteria: RF > MLP > DT > LR. This research highlights the potential of integrating artificial intelligence with logging data to enhance lithological classification in complex geological settings, providing valuable technical support for the exploration and development of gas hydrate resources.

본 연구는 지역성이라는 관점에서 현대 조경의 경향을 조망하고, 지역성 구현을 위한 실천 전략을 발견하고자 하는 것이 목적이다. 현대 조경은 지역적 가치에서 가능성을 발견하고 재해석하여 정체성을 만들어 나가는 경향을 나타내고 있다. 이러한 경향은 다음과 같이 분류할 수 있다. 첫째, 지역성은 자연-문화-도시의 통합 매체로서 재조명되고 있다. 경관은 시간적, 공간적 연속성을 내포하고 있는 개념으로 땅과 지역 정체성에 관한 문제이기 때문이다. 둘째, 지역성은 설계자에 의해 재해석되고 재창조되고 있다. 조경가들은 땅과 장소의 기억을 지우고, 새로운 개념을 투사하기보다는 기억과 흔적을 재생한다. 이는 공간 형태의 디자인 보다는 시간적 연속성을 공간화하는 경향으로 나타난다. 셋째, 현대조경은 대상지를 백지상태가 아니라 양피지로 간주한다. 이는 대상지의 지형적 지질학적 지층이나, 자연적 생태적 과정과 토지 이용의 변천 과정과 같은 공간적 지문을 시각적 요소로 구체화하는 경향으로 나타난다. 넷째, 현대 조경은 대상지를 분석적으로 접근하는 것이 아니라, 구축적으로 접근한다. 이는 대상지의 지질학적 고고학적 기억과 생태적 과정을 경관적으로 재현하는 경향으로 나타난다. 차별성은 현대조경의 설계 전략으로 강조되고 있다. 지역성은 차별화를 통해서만 형성되는 것이 아니라, 지역의 연속성과 상호 작용을 통해서 형성된다. 이런 측면에서 지역성 구현을 위한 실천적 설계 전략으로의 다음과 같은 가능성을 모색할 수 있었다. 첫째, 대지 구축적 접근 방법은 대상지에서 가능성을 발견하고, 대지를 구축적으로 표현함으로써 지역성 강화에 기여하는 실천적 가능성을 가진다. 그 땅의 기억과 조건이 모두 다른 대상지는 모두 다른 정체성을 가진다고 할 수 있다. 둘째, 지역의 연속성은 그 자체로 비교 우위를 가지는 것으로 설계 유전자의 진원이다. 설계 행위는 백지상태의 창조적 형태의 실험이 아니라, 지역의 연속성이라는 밑그림을 토대로 전개하는 발전적 실천 행위로 이해한다. 물론, 이러한 접근 방법은 절대적일 수 없으며, 적지 않는 한계를 가진다. 또 다른 관점에서 접근 방법 모색도 필요하고, 실천전략 모색도 필요하다. This paper has attempted to reexamine current international circumstance and the meaning of regionality and discover the practical design strategy in the process of observing the trend of contemporary landscape architecture from the perspective of regionality. Contemporary landscape architecture has started to discover possibility in the local value and create identity. This tendency can be classified as follows: First, regionality is re-examined as a medium which can integrate nature, culture and city. As a concept which contains time and spatial continuity, landscape is a matter of the identity of land and area. Second, regionality has been reinterpreted and recreated by designers. Landscape designers attempt to restore the past memories and traces instead of adding a new concept after erasing previous physical features. This design attitude has spatialized time continuity. Third, site is seen as a palimpsest, not tabula rasa in contemporary landscape architecture. It has been attempted to visually materialize the natural and ecological processes and spatial features. Fourth, site is approached in a tectonic approach instead of analytical approach. It is attempted to organize and restore the geological and archeological memories and ecological processes. Differentiation has emerged as a critical design strategy in contemporary landscape architecture. However, regionality is also formed through an interaction with continuity as well as through differentiation. In this sense, the following possibilities can be reviewed as practical design strategies to realize regionality: First, a terra-tectonic approach discovers and selects possibility in the site and expresses the site, creating practical possibility which strengthens regionality. If the memory and conditions of the site are different, the identity would different as well. Second, continuity of region itself is a gene pool with comparative advantage. As a rough sketch of design, it acts as a loose conformity on designers' experience and practice. Of course, this approach is not absolute with some limitations. It is necessary to explore practical strategies.

With respect to carbon neutrality, bamboo-based materials have attracted extensive attention in architectural design. However, the existing reviews typically focus on materials and structural components, and do not reach the level of architectural design. The aim of this review is to provide reasonable recommendations in response to these limitations with the following specific objectives: (1) identifying the research trends in bamboo architecture via a systematic review process and providing a mapping of the knowledge domains in this area; (2) summarizing the design strategies regarding bamboo architecture through a literature review, expert interviews, and field investigations using a meta-analysis method; and (3) identifying existing research directions and gaps for the recommendation of the future directions for bamboo architecture design. Through systematic synthesis and data visualization, this review contributes to the area of bamboo architecture design in terms of both scientific research trends and practical design strategies. More importantly, this work reviews not only articles but also typical case studies via expert interviews and field investigations. Finally, future directions for bamboo architecture design, including sustainability, cost, and comfort, are provided to achieve the research goals.

Natural gas hydrates, with their efficient and clean energy characteristics, are deemed a significant pillar within the future energy sector, and their resource quantification and development have a profound impact on the transformation of global energy structure. However, how to accurately identify gas hydrate reservoirs (GHRs) is currently a hot research topic. This study explores the logging identification method of marine GHRs based on machine learning (ML) according to the logging data of the International Ocean Drilling Program (IODP) Expedition 311. This article selects six ML methods, including Gaussian process classification (GPC), support vector machine (SVM), multilayer perceptron (MLP), random forest (RF), extreme gradient boosting (XGBoost), and logistic regression (LR). The internal relationship between logging data and hydrate reservoir is analyzed through six ML algorithms. The results show that the constructed ML model performs well in gas hydrate reservoir identification. Among them, RF has the highest accuracy, precision, recall, and harmonic mean of precision and recall (F1 score), all of which are above 0.90. With an area under curve (AUC) of nearly 1 for RF, it is confirmed that ML technology is effective in this area. Research has shown that ML provides an alternative method for quickly and efficiently identifying GHRs based on well logging data and also offers a scientific foundation and technical backup for the future prospecting and mining of natural gas hydrates.

This study focused on the effect of drill and practice instructional strategies on students’ mathematical skills in Physics. The pretest posttest control group quasi-experimental research design was employed. The sample size for this study was sixty five (65) Senior Secondary School II physics students was used in this study. Physics Mathematical Skills Test of twenty (20) items multiple choice type questions was used to collect the data. Analysis of covariance (ANCOVA) and Analysis of variance (ANOVA) were used to analysed the data collected. The findings of the study revealed that there was no significant effect of the treatment on students’ mathematical skills and there was also no significant effect of gender on students’ mathematical skills in physics. Based on the findings of the study, it was therefore recommended that Physics teachers, though drill and practice instructional strategy has no effect on students mathematical skills, should endeavour to employ drill and practice strategy with conventional method in the teaching and learning process due to its advantages.