Ppt Template Free Download For Elementary
Analisa Wisdom
Apart from being essential in our personal development when we're young, education is what teaches us the things we need to know, especially at elementary level. That's exactly the theme of this template! Tell parents how their kids will learn and experience a rich school life in these funny slides, containing cute illustrations and many colors. Use the presentation to promote your learning center!
There are six standard cycles in which districts and charters submit data to the Core Data and MOSIS systems. MOSIS also collects data outside of these cycles, for collections like the Assessment Precode. Below you will find the file layout, business rules, and Excel template for each data collection file submitted to MOSIS. The File Layout contains the fields and format in which data must be submitted to the department. The Business Rules contain the rules that are run against the submitted data. The Excel templates are available to enter data into if the district or charter's local records system does not export the data in the necessary format.
Make your educational presentations stand out with this education PowerPoint template. Whether you're a teacher, professor, or student, these templates will help you deliver your lesson with clarity and style. With a range of customizable slides, you can easily manage your class and make learning dynamic and attractive. And the best part? These templates can also be used in Google Slides and Canva, so you can work in the platform you're most comfortable with.
These education-themed PowerPoint templates can enhance your presentations by providing visually appealing designs that are specifically tailored to educational topics. With their vibrant colors, engaging graphics, and organized layouts, these templates will captivate your audience and effectively convey your educational content.
These education presentation templates are suitable for teachers, professors, and educational institutions. They can be used to create engaging presentations for students, parents, or colleagues, covering topics such as lesson plans, educational strategies, research findings, or academic achievements.
Pulaski Community Schools utilizes standards-based report cards at the elementary level. The purpose of the report cards is to report out to students and parents about how the student is achieving on specific key learning targets or benchmarks for that grade level. The report cards for the elementary levels are modified as curriculum benchmarks are modified so that staff are always reporting out on the current knowledge and skills that the students have been taught.
Prior versions of the SBE-adopted LCAP template and instructions are available on the LCFF Template Archive web page. These prior versions of the SBE-adopted LCAP template and instructions are provided for historical reference.
The electronic template (eTemplate) is the California Department of Education's (CDE) online system designed to support LEAs in the development of their LCAPs. The eTemplate system meets accessibility requirements. LEAs are encouraged to utilize the eTemplate system to reduce duplication of effort in developing and annually updating the LCAP.
Additional state planning templates include the LCAP Federal Addendum and the School Plan for Student Achievement (SPSA). The templates are aligned to meet federal requirements in the Every Student Succeeds Act (ESSA).
EC 64001 and the ESSA require schools that receive federal funds through the ConApp to consolidate all school planning requirements into the SPSA. The SPSA template assists LEAs and schools in meeting the content requirements for consolidating all school plans, as well as developing plans that meet Comprehensive Support and Improvement (CSI), Targeted Support and Improvement (TSI) and Additional Targeted Support and Improvement (ATSI) planning requirements.
The Department, in collaboration with many school counselors and administrators throughout the state, has developed a draft Graduation Plan for the use in Ohio high schools. This template can be used by school counselors, administrators, students and their parents to ensure they are on track to graduate and they have had every option available presented to them to do so. The goal of this template is to create a resource for schools, but it is in no way required that schools use this template. Schools are welcome to edit this template to meet their own needs.
It is generally acknowledged that biological vision presents nonlinear characteristics, yet linear filtering accounts of visual processing are ubiquitous. The template-matching operation implemented by the linear-nonlinear cascade (linear filter followed by static nonlinearity) is the most widely adopted computational tool in systems neuroscience. This simple model achieves remarkable explanatory power while retaining analytical tractability, potentially extending its reach to a wide range of systems and levels in sensory processing. The extent of its applicability to human behaviour, however, remains unclear. Because sensory stimuli possess multiple attributes (e.g. position, orientation, size), the issue of applicability may be asked by considering each attribute one at a time in relation to a family of linear-nonlinear models, or by considering all attributes collectively in relation to a specified implementation of the linear-nonlinear cascade. We demonstrate that human visual processing can operate under conditions that are indistinguishable from linear-nonlinear transduction with respect to substantially different stimulus attributes of a uniquely specified target signal with associated behavioural task. However, no specific implementation of a linear-nonlinear cascade is able to account for the entire collection of results across attributes; a satisfactory account at this level requires the introduction of a small gain-control circuit, resulting in a model that no longer belongs to the linear-nonlinear family. Our results inform and constrain efforts at obtaining and interpreting comprehensive characterizations of the human sensory process by demonstrating its inescapably nonlinear nature, even under conditions that have been painstakingly fine-tuned to facilitate template-matching behaviour and to produce results that, at some level of inspection, do conform to linear filtering predictions. They also suggest that compliance with linear transduction may be the targeted outcome of carefully crafted nonlinear circuits, rather than default behaviour exhibited by basic components.
Any attempt to model human vision must first ask: can it be approximated by a process that linearly matches the visual stimulus with an internal template? We often take this approximation for granted without properly checking its validity. Even if we assume that the approximation is valid under specific conditions, does this mean the system operates template matching across the board? We would not know exactly in what sense and to what extent the approximation may be viable. Our results address both issues. We find that template matchers are locally applicable in relation to a wide range of conditions, providing much-needed justification for several relevant computational tools. We also find, however, that there is no sense in which the system is globally a linear template: it remains inescapably nonlinear. Our findings suggest that linear transduction is not cost-free: it is not a default building block that is used for constructing expensive nonlinear processes. Rather, linear sensory representations arise from carefully constructed nonlinear processes that strike a balanced act between the necessity to retain other important computations, and the desirability of transducing and representing the visual world on a linear scale.
Notwithstanding such widespread applicability, there are well-known instances when the LN model is unable to provide a satisfactory account of relevant phenomena. The operation of a complex cell, for example, cannot be described by the LN cascade acting directly on the stimulus image [18]. Several neural systems exhibit pronounced gain control properties [19], and these too fall outside the explanatory reach of barebone LN operators. In human vision, detection under uncertainty represents a classic example of the inapplicability of simple template-matching models belonging to the LN family [20, 21]. Adaptive phenomena, e.g. learning-mediated plasticity, can only be partially approximated by LN descriptors [10]. It is therefore uncontroversial that LN models are sometimes inadequate.
It may appear surprising that human visual processing displayed such compliance with the LN model, particularly with relation to the target-present/target-absent comparison (Fig 3): a representative survey of relevant literature indicates that these two estimates differ at least as often as they do not [4, 21, 36], and sometimes substantially so [34, 37, 38, 47]. It may therefore be argued on the basis of pevious studies that the lack of any difference, rather than its presence, should be viewed as unexpected and atypical. Our results, however, must be interpreted in light of the consideration that every aspect of the adopted experimental design was optimized to achieve template matching on the part of human observers (e.g. the stimulus was presented centrally [26], we placed two noiseless target signals above and below the central probe [48], we explicitly instructed observers to match the probe against those target replicas [21, 26], observers were given trial-by-trial feedback). Our objective was to test the applicability of LN modelling under conditions that favoured this processing mode, so that we could gauge the full extent of its explanatory power. Our analyses support the applicability of the LN cascade with respect to each dimension we probed. This result does not imply that the same LN model operating within a common representation also accounts for all results obtained across different representations. We turn to the latter issue below.
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