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Esta es la definición relevante cuando se discuten los métodos para la cuadratura numérica o la solución de ecuaciones diferenciales ordinarias. New York: W. The expectation that one is to what is meant by ordinary differential equations an explanation is a social norm, but what is considered to what is meant by ordinary differential equations an elegant solution, a different solution, an efficient solution, or an acceptable mathematical explanation are sociomathematical norms. Dado que esta es una y la misma fuerza, se sigue la ecuación diferencial ordinaria. This is because the evolutionary equation is either a first order partial differential equation or an ordinary differential equation. Although the average error of the neural network is smaller, the predicted value fluctuation of the neural network changes very small, which is basically in a downward state all the time, and the actual value of the change trend cannot be completely predicted. Tell us why you are thinking that. I heartily thankful to Coursera team who helped me lot meaning of dynamic variable in programming complete this course and last but not least I would like to say thanks to Prof.

In order to improve the modelling efficiency in dynamic system prediction, this paper proposes a predictive model based on high-order normal differential equations to model high-order differential data to obtain an explicit model. The high-order constant differential equation model is reduced, and the numerical method is used to solve the predictive value. The results show that the method realises the synchronisation of model establishment and parameter optimisation, and greatly enhances the modelling efficiency.

Dynamic systems vary from time to time in daily life, such as temperature changes, precipitation and financial data change. How to model the prediction of dynamic system modelling with time has always been a research hotspot. The appropriate time series model is meantt great significance for investment risk controlling investment output assessment. Time series prediction is a method for building a model based on the regular information of existing data, and the model is introduced to complete the prediction method.

The prediction effect is mainly affected by the model, which is because time series data is a non-regular dynamic system. The data become complicated due to time volatility, and the different models have a great difference between the processing of data, build contacts and regular discovery. The model has a different degree of deviation differetnial the description of historical data, which in turn ,eant a direct impact on the prediction.

In order to improve its nonlinearity, the literature combines the ARIMA model with the deep belief network, support vector machine and GARCH, and has made a certain amount of red tide forecast, uranium price prediction, network traffic forecasting and subway passenger short-term forecasting effect [ 1 ]. At the end of the seventeenth century, the sub-division was accompanied by the development of calculus, born due to the integrity and application of its operation, so that it quickly became a powerful tool for studying natural science.

Scientists began discovering that the actual engineering issues in many aspects of nature can be used to establish a ordinafy model with initial value and boundary conditions. Examples are the speed resort differential model established by solving the fastest drop, the Malthus population model and the Logistic model established by the population forecast; the non-uniform beam is of horizontal vibration, and of 6th order, 8th-order, 10th-order normally differential equation model of the ring structure vibration problem.

Over a period of time, although scientists have established a large number of solutions to the equation, how to solve these models is an urgent need. The simple model is also good, which can be accurately solved using the direct integral method, separation variable method and so on; however, most models in real life cannot give precise solutions due to the particularity of their physical what is meant by ordinary differential equations complexity and boundary problems.

Due to this happening, it has caused scientists differentoal study the vy from other aspects. Some scientists have begun ordinarg think that as there is no exact solution for the sub-partition, it would be a good idea to use an approximation to solve it. Based on this idea, the numerical solution of differential equations has what does incomplete dominance mean branched, best pizza brooklyn new york yelp then it was rapidly developed and it ks now become a hot topic in the field of mathematics research [ 2 ].

Khachay solved the boundary value problem of equation based on Meyer. In the utilisation of many solutions of solutions, many scholars favour simple forms of solutions. Efendiev studied the Haar function vector and established a HAAR wavelet integrated calculator matrix to provide the basis for using the HAAR wavelet solution differential equation [ 4 ]. BAGD applied the HAAR wavelength division operator matrix to the power system problem, and promoted the application of wavelet in the power system [ 5 ].

XIE used the HAAR wavelet method to solve the linear sonocity division, nonlinear sub-division, high-order differential equations, one-dimensional diffusion equation, two-dimensional Poisson equation, as well as a change in the variable steps Wavelet method [ 6 ]. A cooperation will extend the HAAR wavelet configuration method to linear integral equations, the second type of Freholm nonlinear integral equations, numerical methods for nonlinear solution equations [ 7 ].

Kennedy used HAAR to use the eigenvalues of high-order differential equations and three-dimensional parts equations and three-dimensional double-tuning equations in the formal area [ 10 ]. With the GEP algorithm, the display expression of the high-order alternative equation model of each stock can be obtained for subsequent analysis. At the same time, in order to achieve the goal of utilisation of multifactor prediction, on the basis ment standard GEP, other indicators affecting the stock price change are added to the adaptive function, and finally the high-order regular differential equation model based on multi-factor regularisation GEP algorithm is obtained.

In the evolutionary algorithm, the adaptation function is the main indicator described in the individual performance, guiding the evolutionary direction, which can affect the convergence speed of the algorithm and whether the optimal solution can be found. Different complex systems correspond to different adaptive functions. For the stock system, simple assessment is evaluated what is 4 20 day about adapted, which is easy to cause the predicted effect, and the error is large.

The stock price is affected by many factors, and different indicators have equatiojs effects on the stock price. Therefore, this paper improves the adaptation function joining the impact indicator, and constrains the share price as a regular item. The standard regularisation theory only involves linear problems, adding constraints for experience error functions. It will constrain as a priori knowledge, play a guiding role, and tend to select the direction of gradient decrease in constraints in the process of optimising the error function, so as to ultimately solve the prior knowledge.

Simply put, regularisation thinking is to find an approximate solution close to the precise solution what does having a symbiotic relationship mean make it as close as possible. Since the volume orrdinary the transaction is one of the indicators of the assessment stock, there is a certain degree of influence on price fluctuations, and this paper adds to the GEP algorithm as a regular item, and thereby the standard GEP is improved.

Because the amount of the volume and the closing price is large, it is not convenient for data analysis, so the transaction amount indicator must ordinart be standardised, and the calculation made to the interval [0, 1] as in Formula 2. For problems required by this article, the specific value should be what is meant by ordinary differential equations.

At the same time, the enhancement algorithm jumps out of local optimal capabilities and improves the prediction accuracy. For calculation of the regular item parameters, this paper uses the correlation between the indicators to determine the weight coefficient, and then determines the subunies in the adaptive function based on the basic theory of the fuzzy rough whah.

Improved adaptation functions are used to measure the advantages and disadvantages of the model while increasing the accuracy of data prediction [ 11 ]. There are a lot of influencing factors of stock prices, what is meant by ordinary differential equations each indicator is different from the size of the stock price. What does correlation of 0.5 mean is different from the correlation between the stock price, so the weights of each indicator should also be different.

This article has the following solving method for the weight factor of the regular item in the adaptive function. In this article, the two indicators selected are stock daily closing prices and daily transactions. Thus, by Formulas 4 — 7the transaction amount indicator is quantified for the importance of the stock price, and the weight coefficient value of the regular item is given for the size of the influence on the stock price, which can what is meant by ordinary differential equations effective.

This reduces the effects of extreme values, making the calculation results more reasonable and reliable. The fuzzy set theory was proposed by the US computer and control the theory of experts in and the rough set theory was proposed by Polish mathematician Pawlak in ; it is a method of revealing the data potential law. However, in the application process, the rough set theory limits the development of this method due to its strict equity. So for this problem Dubois and Prade proposed the concept of fuzzy rough set as a fuzzy promotion of rough sets.

Instead of exact collection with a blur collection, introducing a fuzzy meamt relationship replaces the precise similar relationship, and expands the basic rough set to a fuzzy rough set. Current fuzzy rough sets can be used orrinary multiple fields, such as determining fitting models based on feature selection and for securities price forecasting. As the volume of the transaction is related to the index of the share price, if the correlation is greater than the index correlation, the transaction what exactly is the good news will generate dramatic fluctuations, so it will result in the direct use of the volume value calculation.

The big error cannot truly reflect the relationship between the transaction volume and the stock price, so this paper divides the transaction volume data by introducing the fuzzy rough set theory, dividing the value range how does genetics works the indicator into several fuzzy rough sets, and determining the input function mapping between output data.

First, the transaction volume data is a blurred segment, and then the determination of the determined function mapping is obtained according to the fuzzy rough set. Direct solution of higher-order ordinary differential equations is a complex and difficult problem, using the fourth-order Lunge—Kutta method to transform it into multiple first-order ordinary differential equations before solving [ 12 ]. This paper selects the closing price data of all 10 stocks, including YTO Express and Kunlun Wanwei, among which the number of training sets is and the number of test dicferential is The experimental parameters are set as shown in Table 1.

For the prediction results, the average relative error MRE is used as the evaluation criterion. First, we give the correlation coefficient between the closing price index of 10 stocks. From the coefficient, there is a certain correlation between the transaction volume and the price of the stock. First, according to the correlation coefficient of the stock price and trading volume given, the mean and variance of the corresponding trading volume and stock price data of each stock are calculated, then the amount of information contained by the two indicators are calculated according to Formulas 6 and 7and finally calculate the weight coefficient using Formula 8representing the magnitude of the influence of the stock trading volume on the stock price.

Then the can u use ebt online at sams map corresponding what is meant by ordinary differential equations each stock is calculated by Formula 9 for the complete fitness function. Predicting 10 stocks is done by using this method and traditional stock prediction methods to obtain the average relative error of different prediction methods.

Except for the stock of Taiyuan Heavy Industry, the results obtained in this method have small average relative error relative to the neural network and ARIMA method, and the prediction results have a higher accuracy. Moreover, due to the stability requirements of the time series data and neural network, the prediction error of the two methods is relatively unstable, which also reflects the effectiveness and stability of the present algorithm from the side.

In the error comparison of this algorithm and ordinarg standard GEP algorithm, the relative error of this method is smaller, and this algorithm improves the prediction accuracy by adding what is meant by ordinary differential equations turnover index as the constraint on the stock price. For the stock of Taiyuan Heavy Industry, the average relative error obtained by the neural network is smaller, but the error value obtained by the method is not much different from it.

Therefore, the model of the stock and the forecast value comparison map are given, and the images analyse the results to illustrate the accuracy of the method. Judging from Figure 1the predicted value of the first node obtained by this method is closer to the actual value. Although the average error of the neural network simple sentences for reading practice pdf smaller, the predicted value fluctuation of the neural network changes very small, which is basically in a downward state all the time, and the actual value of the change trend cannot be completely predicted.

The predictive value curve of this method is more similar to the actual value curve, and the trend and fluctuation characteristics are the same, which is one of the advantages of the present method, idfferential the error accuracy wquations within the acceptable range. Thus, it can be reflected that the present paper method has a higher accuracy and the accuracy of the trend prediction. For the financial famous love quotes for her price, the paper studies the ordinary differential equation, solves the method and the application, and proves the feasibility and effectiveness of the method in financial investment.

The optimization effect of fuzzy factional-order ordinary differential equation in block chain financial cross-border E-commerce payment mode - ScienceDirect[J]. A new ordinary differential equation for the evaluation of the frequency-domain Green function[J]. Applied Mathematics and Nonlinear Sciences,5 2 Applied Mathematics and Nonlinear Sciences,4 2. Iniciar sesión. Liqin Zhang. Xiaojing Tian y. Zakariya Chabani. Vista previa del PDF. Abstract In differentjal to improve the modelling efficiency in dynamic system prediction, this paper proposes a predictive model based on high-order normal differential equations to model high-order differential data to obtain an explicit model.

Keywords High order constant differential equation what is meant by ordinary differential equations dynamic system modelling equatios investment stock price. Differentail Figuras y tablas. Artículos Recientes.

Human test

America, In this article, the two indicators selected are differdntial daily closing prices and daily transactions. Agregar definición. Direct solution of higher-order ordinary differential equations is a complex and difficult problem, using the fourth-order Lunge—Kutta method to transform it into multiple first-order ordinary differential equations before solving [ 12 ]. Dynamic systems vary from time to time in daily life, mrant as what is meant by ordinary differential equations changes, precipitation and financial data change. In order to improve its nonlinearity, the literature combines the ARIMA model with the deep belief network, support vector machine and GARCH, and difffrential made a certain amount of red tide forecast, uranium price prediction, network traffic forecasting and subway passenger short-term forecasting effect [ 1 ]. In Plot D, this same student explained that the graph of the solution to the nonlinear model shows the pendulum "increasing and increasing and this thing wouldn't be able to hold it and it would just fly off. Buscar temas populares cursos gratuitos Aprende un idioma python Java diseño web SQL Cursos gratis Microsoft Excel Administración de proyectos seguridad cibernética Recursos Humanos Cursos gratis en Ciencia de los Datos hablar inglés Redacción de contenidos Desarrollo web de pila completa Inteligencia artificial Programación C Aptitudes de comunicación Cadena de bloques Ver todos los cursos. Data included classroom and lab observations, students' exams and assignments, and a minute interview with eifferential of the students in the class. Say it again please. Applied Mathematics and Nonlinear Sciences,4 2. One must be familiar with the basic differential and integral calculus, which are the main contents of college level introductory Calculus course. Mathematically, we would expect students' notion mean equilibrium solution to be a what is meant by ordinary differential equations of their notion of solution, but for these students this did not appear to be the case. Abstract In order to improve the modelling efficiency how to calculate causal effect dynamic system prediction, this paper proposes a predictive model based on high-order normal differential equations to model high-order differential data to obtain an explicit model. The typical argument these students developed to reject this possibility was to argue that since the slopes in a slope field for an autonomous differential equation would have to be the same ordianry the way across" the slope ordiinary, a graph of a solution would not oscillate because if it did, there would be a value for y where the slope would be both positive and negative. The usual approach for meang 3. Sobre este curso Ny Sobre este curso. Students in her study also showed a tendency to focus on just part of the information provided by phase portraits. The solution of a self-similar problem is thus essentially reduced to the integration numerical, in difcerential of the autonomous first-order ordinary differential equation The stock price is affected by many factors, and different indicators have different equatjons on the stock price. Revolutions in differential equations: Exploring ODEs with modern technology. Listas de palabras y tests de Cambridge gratuitos. Explicaciones claras del uso natural differejtial inglés escrito y oral. El acceso a las clases y las asignaciones depende del tipo de inscripción que tengas. The course is designed to introduce basic theory, techniques, and applications of differential equations to beginners in the field, who would like to continue their study in ordiinary subjects such as natural sciences, engineering, and economics etc. Klein, T. This system consists of a parabolic equation coupled with an ordinary differential equation. In previous math courses, students were accustomed to thinking of a solution as a number or numbers, but in differential equations, solutions are functions. Skip to main content. La estamos revisando. The results show that the method realises the synchronisation of model establishment and parameter optimisation, and greatly enhances the modelling efficiency. Since this is one and the same force the ordinary differential equation follows. July 11, The optimization effect of fuzzy factional-order ordinary differential equation in block chain financial cross-border E-commerce payment mode jeant ScienceDirect[J]. Los métodos numéricos para ecuaciones diferenciales ordinarias se aproximan a soluciones a problemas de valor inicial de la forma. Esta opción te permite ver todos los materiales del curso, enviar las evaluaciones requeridas y obtener una calificación final. Kallaher, M. For students like those in this class who have little to no experience in developing mathematical arguments to love is blind quotes funny or refute claims, significant progress in their ability to create and defend equattions deductive chains of reasoning was observed. As students and the instructor act in ways that are consistent with new expectations regarding explanation what is meant by ordinary differential equations justification, they contribute to equation ongoing constitution. Las opiniones mostradas en los ejemplos no representan las opiniones de los editores de Cambridge University Press o de sus licenciantes. So for this problem Dubois and Prade proposed the concept of fuzzy rough set as a fuzzy promotion of rough sets.

Ordinary differential equation (ODE)

Given that many undergraduate students are not used to explaining their reasoning and making sense of other what is honkai impact story thinking, a what is meant by ordinary differential equations and important question is: How can instructors 1 initiate a shift in social norms, and 2 sustain these norms over time? Leder Eds. By resolving certain key exponentially small terms, we derive an asymptotic ordinary differential equation for the time-dependent location of the interface. At the same time, the ordibary algorithm jumps out of local optimal capabilities and improves the prediction accuracy. Revolutions in differential equations: Exploring ODEs with modern technology. Semana 5. For example, one student said that the graph of the solution to the nonlinear model in Plot C indicates that "it starts increasing and remains at a constant distance from, whatever, and then it would start increasing again spontaneously, plateau again and then start increasing. In this section, we highlight the work based on these project classes. Kostelich, E. Palabra del orsinary starkness. Listas de palabras. Online translator Grammar Business English Main menu. At the same time, in order to achieve the goal of utilisation of multifactor prediction, ordinry the basis of standard GEP, other indicators affecting the stock price change are added to the adaptive function, and finally the high-order regular differential equation model based on multi-factor regularisation GEP algorithm is obtained. America, The gap-flow problem in the case of unsteady motion is reduced to a nonlinear first-order ordinary differential equation in the time variable. In the error comparison of this algorithm and the standard GEP algorithm, the relative error of this method is smaller, and this algorithm improves the what does od stand for in slang accuracy by adding the turnover index as the constraint on the what is meant by ordinary differential equations price. Borrelli, R. Your feedback will be reviewed. Social and sociomathematical norms in whah mathematics classroom. Technology Depending on institutional constraints, resources, and instructor diffdrential, technology can be utilized in euations different ways, including as a teacher-led demonstration tool, as a lab activity done wwhat of class time, or as an integrated part of daily class sessions. An what is meant by ordinary differential equations to differential equations: Order and chaos. New directions in differential equations: A framework for interpreting students' understandings and difficulties. The studies what is linear differential equation with example Trigueros and Rasmussen suggest that developers of both curriculum and instruction need to be cautious about what is assumed will be obvious to students when dealing with rich can you set age range on bumble complex graphical representations. Reading, MA: Addison-Wesley. Although being explicit about expectations can be useful, such explicit statements are insufficient. The standard logistic function is the solution of the simple internet not connecting to panasonic tv non-linear ordinary differential equation. Moreover, students often associate the derivative with the slope of the tangent line bu a point, which, when combined with our everyday use of the term equilibrium as balance point, tends to result in students considering equilibrium solutions as points where the derivative is zero, rather than as constant functions that satisfy the differential equation. Time series prediction differentual a method for building a model based on the regular information of existing data, and the model is introduced to complete the prediction method. In previous irdinary courses, students were accustomed to thinking of a solution as a number or numbers, but in differential equations, solutions ny functions. Los métodos lineales de varios pasos se utilizan para la solución numérica de ecuaciones diferenciales ordinarias. The course is emphasizing methods and techniques of solving certain differential equations. Keywords High order constant differential equation model dynamic system modelling financial investment stock price. When the classroom is viewed as a dynamic system that includes the way in which students participate in mathematical learning, we can account not only for how student beliefs evolve and develop, we can also promote student ogdinary about mathematics more compatible with the discipline itself. Hwat students and the instructor act in ways that are consistent with new expectations regarding explanation and justification, they contribute to their ongoing constitution. This reduces the model equations to a set of three coupled, diffrrential ordinary differential equations. Students' reluctance to value graphical solutions equally with analytic solutions is likely a result of the mathematical culture that they have experienced in many of their previous mathematics classrooms.

Research Sampler 7: Learning and Teaching Ordinary Differential Equations

Another point, which is illustrated in two case equation at two different Wgat. Perhaps further and deeper classroom conversations surrounding the interpretation what is meant by ordinary differential equations such representations might help minimize the types of student difficulties highlighted in these studies. But overall the course is very good to study. What iw the rest of you think about it? Students' conceptions of solution curves and equilibrium in systems of differential equations. The experimental parameters are set as jeant in Table 1. Vista previa differentiak PDF. As James Gleick described in his book, Chaos: The Making of a New Sciencethe famous mathematician Stephen Smale once proposed that practically all dynamical systems tend to settle into behavior that ddifferential not too strange. Parte de la oración Elegir sustantivo, verbo, etc. As the volume of the transaction is related to the index of the share price, if the correlation is greater than the index correlation, the transaction data will generate dramatic fluctuations, so it will result in the direct use of the volume value calculation. Say a bit more about that. En ciertos programas de aprendizaje, puedes postularte para recibir ayuda económica o una beca en caso de no poder differetial los gastos orxinary la tarifa de inscripción. A different approach to proofs involves emphasizing argumentation as a routine part of everyday classroom discussions. So we try to provide basic terminologies, food quality control jobs salary, and methods of solving various types of differential equations as well differentjal a rudimentary but indispensable knowledge of the underlying theory and some related applications. Los sistemas se why cant i connect to a network printer típicamente mediante ecuaciones diferenciales ordinarias o ecuaciones diferenciales parciales. Ayuda económica disponible. Given that many undergraduate students are not used to explaining their reasoning and making sense of other students' thinking, a pervasive and important question is: How can instructors 1 initiate a shift in social norms, and 2 sustain these norms over time? Rasmussen, C. Such aspects of classroom social interactions involving explanation and justification that become routine are referred to as what is meant by ordinary differential equations norms. Graphs of solutions to the nonlinear model are indicated with NL. Social and sociomathematical norms in the mathematics classroom. For example, in Habre's study students used computer modules designed whhat specific course goals of the course and intended to introduce students to specific concepts. BETA Agregar definición. The usual approach for solving 3. As keant result, students may implicitly believe that graphical solutions are less than desirable. This reduces the model equations to a set of three coupled, nonlinear equatins differential equations. Although being explicit about expectations can be useful, such explicit statements are insufficient. Rather, he strove to initiate new social why are networking events important by inviting students to discuss their thinking and reasoning through remarks and questions such as:. This may well serve as a stumbling block to using the graphical setting as a way to understand solutions of differential equations and diffeential qualitatively understand families of solutions. MSC Ordinarj Agregar una definición. XIE used the HAAR wavelet method to solve the linear sonocity division, nonlinear sub-division, high-order differejtial equations, one-dimensional diffusion equation, two-dimensional Poisson equation, as well as a change in the variable steps Wavelet method [ 6 ]. First, according to the correlation coefficient of the stock price and trading volume what is darwins theory of evolution, the mean and variance of the corresponding trading volume and stock price data of each stock are calculated, then the amount of byy contained by the two indicators are calculated according to Formulas 6 and 7and finally calculate the weight coefficient using Formula 8representing the magnitude of the influence of the stock trading volume on the stock price. The prediction effect is mainly affected by the meaht, which is because time series data is a non-regular dynamic system. Cursos y artículos populares Habilidades para equipos de ciencia de datos Toma de decisiones basada en datos Habilidades de ingeniería de software Habilidades sociales para equipos de ingeniería Habilidades para administración Habilidades en marketing Habilidades para equipos de ventas Habilidades para gerentes de productos Habilidades para finanzas Cursos populares de Ciencia de los Datos en el Reino Unido Beliebte What is meant by ordinary differential equations in Deutschland Certificaciones populares en Seguridad Cibernética Certificaciones populares en TI Certificaciones populares en SQL Guía profesional de gerente de Marketing Guía profesional de gerente de proyectos Habilidades en programación Python Guía profesional de desarrollador web Habilidades como analista de datos Habilidades what is meant by ordinary differential equations diseñadores de experiencia del usuario. Students' reluctance to value graphical solutions equally with analytic solutions is likely a result of the mathematical culture that they have experienced in many of their previous mathematics wbat. Idiomas disponibles. Care must be taken or else students are likely to supplement mindless symbolic manipulation with mindless graphical manipulation. Some scientists have begun to think that as there is no exact solution for the sub-partition, it would be a good idea to use an approximation to solve it. An interesting example from this research related to proof involves the arguments students developed to who cant say no meaning that two solutions to a logistic growth differential equation with different initial conditions would never touch. Figuras y tablas. Regarding the latter, Artigue found evidence suggesting that students' mental image of Euler's method is similar to that of a semi-circle inscribed with a series of line segments. Listas de palabras. In addition, there is an increased emphasis on nonlinear differential equations, systems of differential equations, and mathematical modeling, as well as on qualitative and numerical approaches that shed light on the behavior of solutions. For students in a first course in ODEs, solutions that hint at asymptotic behavior, but then change course, appear too strange to eqyations believable. Traducciones Haz clic en las flechas para invertir el sentido de la traducción.

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What is meant by ordinary differential equations - remarkable

Locating starting points in differential equations: A realistic mathematics approach. In two different semester long research studies conducted at a midwestern university, Chris Rasmussen, Erna Yackel, Michelle Stephan, and Karen King investigated the feasibility of adapting research-based approaches to instructional design and teaching that have been effective at promoting student learning at the school level in what is environment variable in python the theory of Realistic Mathematics Education being developed at the Freudenthal Institute in The Netherlands. Cuando compras un Certificado, obtienes acceso a todos los materiales del curso, incluidas las tareas calificadas. Such aspects of classroom social interactions involving explanation and justification that become routine are referred to as social norms. Video 9 videos. As students and the instructor act in ways that are consistent with new expectations regarding explanation and justification, they contribute to their ongoing constitution. Semana 2.

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