Introduction to Psychology
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This document provides an introduction and overview of descriptive methods in psychology. It discusses observational studies, case studies, and survey research as the three main descriptive methods used to collect data. It also covers correlational studies and how they are used to determine relationships between two variables through scatterplots and correlation coefficients ranging from -1 to 1. However, correlations do not prove cause and effect - they just indicate a relationship exists. Experimental studies are needed to test causation.
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We will metaverse into the essence of immersive learning, into its three dimensions and conceptual models. This approach encompasses elements from teaching methodologies to social involvement, through organizational concerns and technologies. Challenging the perception of learning as knowledge transfer, we introduce a 'Uses, Practices & Strategies' model operationalized by the 'Immersive Learning Brain' and ‘Immersion Cube’ frameworks. This approach offers a comprehensive guide through the intricacies of immersive educational experiences and spotlighting research frontiers, along the immersion dimensions of system, narrative, and agency. Our discourse extends to stakeholders beyond the academic sphere, addressing the interests of technologists, instructional designers, and policymakers. We span various contexts, from formal education to organizational transformation to the new horizon of an AI-pervasive society. This keynote aims to unite the iLRN community in a collaborative journey towards a future where immersive learning research and practice coalesce, paving the way for innovative educational research and practice landscapes.
Direct Seeded Rice - Climate Smart Agriculture
Direct Seeded Rice - Climate Smart AgricultureInternational Food Policy Research Institute- South Asia Office
PPT on Direct Seeded Rice presented at the three-day 'Training and Validation Workshop on Modules of Climate Smart Agriculture (CSA) Technologies in South Asia' workshop on April 22, 2024.
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...
Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.
The binding of cosmological structures by massless topological defects
Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field
equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational
field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin
spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling
concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect
light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is
mitigated, at least in part.
快速办理(UAM毕业证书)马德里自治大学毕业证学位证一模一样
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本公司拥有海外各大学样板无数，能完美还原。
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◇面对父母的压力，希望尽快拿到；
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◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
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waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
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The debris of the ‘last major merger’ is dynamically young
The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the
‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor
collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the
MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space,
because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia
DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations
at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based
on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago.
We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative
measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data
1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’
did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within
the last few Gyr, consistent with the body of work surrounding the VRM.
Travis Hills of MN is Making Clean Water Accessible to All Through High Flux ...
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Gadgets for management of stored product pests_Dr.UPR.pdf
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Introduction to Psychology
- 1. Introduction to Psychology 1 PSY-101
- 2. Referencing All sources, referencing and citations can be found in the provided book: Psychology, A Concise Introduction (Third Edition) by Richard A. Griggs.
- 3. Descriptive Methods TABLE OF CONTENTS 01 Discussing the types of data collection 02 Correlational Studies How we differentiate between relationships and cause and effect 03 Experimental Studies How we test a relationship 04 Basic Statistics How we analyze results
- 4. INTRODUCTION • Psychology took its first step to becoming scientific in 1883 when Wilhelm Wundt created the first experimental laboratory to test cause and effect. • Today, psychology has endless techniques to create new theory, discover relationships and test cause and effect
- 6. Why Descriptive Methods? Primarily we use descriptive methods to collect data. We use descriptive methods when we want to speculate a relationship between two things, or to speculate cause and effect. When to use these methods Descriptive Methods
- 7. To remain scientific, we rely on the principles of descriptive statistics to collect data. The 3 main methods are: • Observational • Case Studies • Survey Research It is key that all data collection is done objectively. Types of Methods
- 8. Recording behaviour in a natural environment without the participants knowledge. This is known as Naturalistic Observation but there are many different types. Recording information about a participant in detail and over a long period of time. These are usually done in longitudinal studies and in rare medical cases. The most popular method of data collection, survey research involves collecting data from large sample sizes, these include interviews and questionnaires. Observational Case Studies Survey Research Types of Methods
- 9. Observational ● Gives ecological valid data because of the natural environment. ● Data can be inaccurate because of researcher bias Case Studies ● Gives rich, qualitative data that can give explanations of rare cases. ● Takes a lot of resources such as time and cannot be generalised to a population Survey Research ● Gives rich, quantitative data and can be generalised to target populations. ● Participants may give false answers and data may not be as in depth. Pros and Cons
- 11. • Correlational studies are popularly used to measure if a relationship exists between 2 variables. It determines how well 1 variable can predict the other. • There are 3 types of correlations, positive correlation, negative correlations and zero / no correlations. • The strength of the correlation is determined by its coefficient, this varies between -1 and 1. The closer to -1 the stronger the negative correlation is and the closer to 1 the stronger the positive correlation is. Correlational Studies
- 12. Types of Correlations Positive This is when 2 variables increase or decrease together. Negative This is when 1 variable increases and the other decreases or when 1 variable decreases and the other increases. Zero / No This is when variables do not clearly interact with each other.
- 13. Scatterplots are used to represent a correlation between 2 variables Strength A correlation will never be perfect as no one can account for every detail of an experiment or variable, for example not every male who eats 3 times a day will weigh 75kg. Correlational Studies Cons It’s important to remember, correlations do not represent cause and effect, only that a relationship exists Cause and Effect For example, less self-esteem increases depression (Negative Correlation) but which causes which? A relationship exists but we don’t know which causes the other. Scatterplots