A New Term Has Emerged In Education Recently That Has...

A new term has emerged in education recently that has teachers unease with how they feel about it. The ever so emerging â€Å"flipped classroom† technique is starting to become integrated in several classrooms today. The reason so many teachers are suspicious of the technique, is because it is foreign and rather new. Traditional styled teachers are struggling to accept the new style due to the deranged forms of learning. Whereas the newer teachers are excited to track progress and learn new techniques. I personally feel that educators need to respect the fundamentals of education, and embrace the ever so changing society. Central Methodist University should flip their writing courses because it enhances student learning and collaboration,†¦show more content†¦Technology has been advancing rapidly during this generation, in turn, causing members of this generation to be highly dependent on technology. The flipped classroom utilizes technology to enhance learning insid e and outside of the classroom. Allowing students to learn on a device which suits their comfortability level, makes learning a subject less scary or intense. â€Å"By obtaining videos from other sources the students indicate they are more engaged and found the information refreshing,† (Schmidt) . Many teachers see the technology aspect of flipped classrooms as the deciding factor. Some teachers feel that some children will not have access the videos then resulting in students lacking the lesson. However, on the flip side teachers have combated this problem by providing students with technology when they are in the classroom. Utilizing technology in the classroom has enhanced learning capabilities, and has maximized the potential for several students. Using technology also allows students that are absent to have access to the videos online. Living in Missouri we experience a lot of miserable weather, with a flipped classroom students can continue to make progress at home with the videos online. An advanced placement chemistry class was able to almost complete a whole unit on their own when out of school for a week due to snow (Hardy) . Having to review the videos and lectures that they post online, teachers are now double checking their work. In order for theShow MoreRelatedThe Case Of Epperson V. Arkansas953 Words   |  4 Pagescase of Epperson v. Arkansas (1968) was argued before the Supreme Court. The case originated in 1965, when Susan Epperson was hired to teach 10th grade biology at Little Rock Central High School. The local school board had recently adopted, as a part of an approved curriculum, a new biology textbook that included a section on evolution. Immediately, Epperson recognised her dilemma; that to teach the required curriculum would put her at risk for dismissal under the â€Å"anti-evolution† statute. 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However, despite the constant focus of research on this subject, the topic still lacks an appropriate definition and the context of the applications it provides is still not very much clear (Cranston, 2000). The efforts are being made forRead MoreThe Agenda Of Multilateral Organizations1841 Words   |  8 Pagestheir role in alleviating poverty and reducing inequality. In doing so, this study will argue that the â€Å"neoliberal† rhetoric of multilateral organizations hampers development within the education sector. By assessing the neoliberal agenda of the World Bank and its role in the global initiative of the Education for All (EFA) movement, this study argues that the â€Å"neoliberal† rhetoric of multilateral organizations hampers development within the educational sector in Tanzania. Road Map: In illuminating

Africa by Far is the Poorest Continent in the World Essay

Welcome to Africa, or better yet welcome home. Examining fossils that date back several million years, scientific data supports the fact that human life began somewhere in Africa. This isn’t known by everyone though, in fact, unless some sort of archaeology is studied, or an ancient civilizations class, many are unaware of this. What people aren’t unaware of however, when it comes to Africa as a whole, are the issues. Words such as AIDS, war, strife, poverty, hunger, corruption, slavery, piracy, and genocide are all synonymous with Africa. Africa by far is the poorest continent, where the bottom eighteen countries on the Human Development Index all belong to Africa, 36.2% of the population lives on less than a dollar a day, and the†¦show more content†¦So there are really two things to connect here. One is how Africa is covered in the West by the media, and the consequences that come from that and two, how Africa can succeed in turning itself around. Starting with the media, as mentioned before the media brings back pictures from Africa of the helpless and the hopeless, and that’s it. All too often does on turn on the television and see the desperation of a young boy, with flies in his eyes, raising his family because his parents have died of AIDS. Here, World Vision, Free the Children, or whatever charity it may be then asks the viewer to donate a dollar a day, a dollar a day to save a child’s life. The viewer may shed a tear, and may even write a check because they believe that it will make a difference, and the media makes it seem like Africa can be saved with their dollar a day, if everyone donates a dollar a day. This is where a problem is drawn, this does not save Africa. Now that is not to say the media is at complete fault for Africa’s mishaps, or the media should stop covering stories like this. In a free and independent society, a free and independent press is vital. However, due to the current economy the idea of a free and independent press is threatened. It is threatened by the economy. It is threatened by international journalism budget cuts, mass layoffs, and new platforms that demand new content. The new content consists of activism, peaceShow MoreRelatedHiv / Aids Has Stunted The Progression Of African Economy And Education System1737 Words   |  7 Pagesand when it develops to its fuller extent, there’s nearly nowhere to go but down. HIV can be spread by, needle sharing, breast-feeding, blood transfusions, vomit to an open wound, and organ transplants. In second and third world countries with limited resources, such as South Africa, these activities are not monitored or sanitized and the risk of attainting HIV/AIDS is high. 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CPR Team Work - Interpersonal Skills and Team Efficiency Audit

Question: Describe about the CPR Team Work, Interpersonal Skills and Team Efficiency Audit? Answer: Importance of psychology in performance improvement Over the past decades the sports captains and coaches have realized the importance of psychology within the performance of the sports members. The psychological effects of motivation and reduction of anxiety is possible after the psychological counseling. According to Agius, Esposito and Farrugia, (2012) the sports persons requires to have a clam and combined mental set up in order to face the stress of the competitions and also in order to play well at times of tension. Thus mental psychological coaching helps the sportspersons to break the mental barriers and increase their concentration levels so that they can perform better (Schlick, Frieling and Wegge, 2013). Following are the major factors that makes psychology important for sports performance improvement. Improvement of focus: The ability to concentrate helps the individuals to overcome the visual and the mental distractions and keep a sharp focus on the goal they desire to achieve (Baron, 2013). Development of coping skills: The ability to face the situations of criticisms and failures is a major part of the sports performance. Thus psychological coaching gives the player an external motivation in the middle of the dark times and helps the player to be strong enough to face all kinds of diverse situations (Tyuse, 2012). Development of team cohesion: Sports are related to team performance rather than the individual performance. Psychology can impro0ve the communication skills between the different team members and create a situation of bonding and understanding between the team members to ensure effective performance levels (Asherman, 2012). Team building theory In order to effectively co ordinate a sports team the stages of the Teamwork Theory may be applied within the team formation. In the year 1965, Tuckerman introduced this model of Teamwork theory that highlights the four different phases and the psychology of the team members in the phases along with the recommendations for the actions to be taken in the phases more effective team building (Ryan, 2012). The following are the stages of the team formation. Forming: It is the initial stage of team development when all the sports persons within a team are new to one another and thus they have not yet co ordinate well with each other (Dodds and Johnson, 2012). This stage is characterized by anxiety within the team members as wall the members get busy and involved in making a place of themselves within the team. In this stage the members largely depends on the leader for guidance and direction and high degree of chaos is noticed within the members. Storming: In the second stage the individuals starts to accept themselves as a part of their team. Since the gaining of the experience the team members begins to challenge the decisions of the leaders as well as the other team members. This stage is characterized by the high degree of persistent tension and completion between the team members in relation to establishment of individual characteristics within the team. Norming: In this stage all the team members starts to work together in full congeniality. The team rules, processes, goal identification, allocation of tasks are done at this stage. This stage is thus characterized by growing sense of togetherness. The participatory or shared leadership is noticed within this stage. Performing: This is the final stage of team formation when the team is strategically and rationally aware of the actions and emotions within the team. The team develops a shared vision and is independent. The leaders at this stage may adopt the situational leadership strategy. Creation of team spirit Team spirit is a part of the positive aspect that is found within a team that makes the individuals within a team happy and they perform their tasks effectively (Olausson, 2013). It is important because the team members get a sense of unity from the team spirit and this sense enhances the level of performance. It also helps to prevent misunderstanding and chaos within the team. The act of co operation makes the productivity levels high and the team members remain totally aware of the tasks and the responsibilities they are required to perform (Dr. S.V.Sowani, 2012). The major focus of the team spirit is to reduce the burden of risks, accountability and chances of failure within the team. The act of co ordinate decision making ability gives the team members an opportunity to discuss the pros and cons of all decisions and the probable problems or chances of failure that may arise due to the involvement in the team decisions. With the help of open communications and high rationality the team members can build the team spirit or the unity of the team. In order to maintain the team spirit the team members will have to keep the conflicts away and manage the various changing moods and situations within the team (Geisler, 2012). Group cohesion and group think Team cohesion and group think are two most important factors for enhancement of the performance of a sports team (McLernon, 2012). The concept of group think is essential in a sport team because the concept of group think suggests that the team members within the team will remain loyal to the team objectives. In majority of the cases it has been seen that due to lack of groupthink the instances of match betting has occurred. The team members within the different sports team has turned towards a competitive team due to financial gain. Team cohesion on the contrary is the act of working together within a team. Thus the teams which are cohesive in nature are reported to perform better even in situations of stress (Gillespie, 2012). For instance clubs like the Manchester City has been highly criticized for their underperformance stating that the team lacks cohesiveness within the team members. This is because the teams members are all well established sportspersons are are thus not invol ved with each other while playing for the team. Lack of team cohesion gives rise to the lack of respect within the team members suggesting that the team is not able to coordinate successfully. However, Kambi, (2012) argued that high degree of group think may make it difficult for the leaders and the coaches to guide the team members under the different changing situations. The group think will make the team unite against any proposed change and all the decisions will be taken in the same direction as the members start to think in the same direction. Social loafing issues Various issues are also noticed within the teams and groups. The major issue being the social loafing issue. The concept of social loafing issue states that some of the people within a group or team are at times prone to exert less pressure on the performance since they are performing within a group. This shows that the total burden falls upon the other group members who are more responsible and are not able to avoid the responsibility. The individuals engaged in social loafing are seen to utilize the talent of the other group members to get their work done without using any talent or work of their own (Gregory, 2012). This has a negative consequence for the group as well as the individual. The group dynamic is affected when certain individuals are seen as weak contributors to the group purpose. It tends to split the group and fosters a lack of cohesion. For example, if only five of the eight members of a team are doing the majority of the work, it will often create an 'in' group (th ose members that are working hard) and an 'out' group (those members that are not contributing as much) situation within a team. This creates a situation of mental and emotional barrier between the in group and the out group members and the out group members may feel that the in group members are not considering them as an important part of the group. Resentment can arise between the members creating a non congenial situation within the group. Some of the factors that generally triggers social loafing are the group size( huge group size of more than 20 members), low levels of group motivations, reduced sense of contribution and no appraisal of the group members. Thus, in order to successfully prevent the situations of social loafing the above acts should be avoided within a group and make the team members feel important within the group so that they may contribute effectively to the overall growth of the team (Ingvaldsen, Holtskog and Ringen, 2013). References Agius, V., Esposito, T. and Farrugia, M. (2012). CPR team work, interpersonal skills and team efficiency audit. Resuscitation, 83, pp.e118-e119. Asherman, I. (2012). Negotiation at work. New York: AMACOM. Baron, E. (2013). Innovative team selling. Hoboken, New Jersey: John Wiley Sons, Inc. Dodds, J. and Johnson, S. (2012). Mastering Autodesk Navisworks 2013. New York: John Wiley amp; Sons. Dr. S.V.Sowani, D. (2012). Organizational Efficiency Through Team Work. IJSR, 3(2), pp.91-92. Geisler, J. (2012). Work happy. New York: Center Street. Gillespie, J. (2012). Enhancing Social Work Education Through Team-Based Learning. Journal of Social Work Education, 48(2), pp.377-387. Gregory, H. (2012). Team work. North Mankato, MN: Capstone Press. Ingvaldsen, J., Holtskog, H. and Ringen, G. (2013). Unlocking work standards through systematic work observation: implications for team supervision. Team Performance Management: An International Journal, 19(5/6), pp.279-291. Kambi, B. (2012). Team Work For Business Organization Perfomance. SaarbruÃÅ'ˆcken: LAP LAMBERT Academic Publishing. McLernon, A. (2012). Angela McLernon: Team work gets results. Practice Nursing, 23(4), pp.214-214. Olausson, M. (2013). Pro team foundation service. [Berkely, Calif.]: Apress. Ryan, S. (2012). When is a team a team? Teamworking and the reorganisation of work in commercial cleaning. Employee Relations, 34(3), pp.255-270. Schlick, C., Frieling, E. and Wegge, J. (2013). Age-differentiated work systems. Berlin: Springer. Tyuse, S. (2012). A Crisis Intervention Team Program: Four-Year Outcomes. Social Work in Mental Health, 10(6), pp.464-477.

The aim of this project is to find out which factors affect the selling price of a house Essay Example Essay Example

The aim of this project is to find out which factors affect the selling price of a house Essay Example Paper The aim of this project is to find out which factors affect the selling price of a house Essay Introduction The aim of this project is to find out which factors affect the selling price of a house. I have been given four districts, and in each there are four streets. In each of the 16 streets there a number of houses which the previous factors effect and result in a different house price. In the data presented I have found several rogue results (results that do not fit in with the rest of the results). If these were to be kept, the results would be biased and so these rogue items must be removed. The rogue items were à ¯Ã‚ ¿Ã‚ ½475, 000 in house price, 13,000 in squared ft and 20 in number of bedrooms. They are too large to fit in with the other data. The ranges (highest – lowest values) where à ¯Ã‚ ¿Ã‚ ½161, 800 in house price, 2900 in square ft and 6 in number of bedrooms. 27% of the homes had a large garden, 62.5% had a small one and none was 10%. In Garages 68% had a garage and 32% didn’t.In order to get an idea of the nature of this data I have been given, I will divid e Price into suitable groups and draw a histogram. Then I will make a cumulative frequency table and draw a cumulative frequency curve. I will then state my median and the inter-quartile range for my cost, as outliers do not affect them.Out of the fields given, some of these affect the price of the houses. The fields that will affect the house price are if the house has a garden, if the house has a garage, the number of bedrooms in a house and the area (square ft) of a house. The field that will not affect house price is house number.The fields in order of importance are, number of bedrooms, area (sq ft) of a house, if the house has a garden, if the house has a garage and finally house number which has no importance at all.My main Hypothesis is that â€Å"Price will be affected by some factors†PlanI am going to investigate the correlation between price and no of bedrooms in one street and one district (Arlington, Primrose Street). This is so that all other variables will rema in constant.Then I will make a sample to make it more manageable, it will contain even amounts on all four streets so that it’s not biased, and isn’t biased to any district or street. After this I will draw a histogram and cumulative frequency for the population and sample then I will compare my results.I will then draw several box plots for the price for each district to see if my data is valid, this could affect my observations.After this I shall draw several scatter graphs, and I will analyze the correlation, each will be named and have a line of best fit and equation for the line presented.First HypothesisI expect that as the number of bedrooms increase; the price will increase accordingly, the correlation will be therefore positive.The reason in taking one district and street is because when the houses are in the same street they are roughly the same price; the other variables that are not number of bedrooms will be kept constant.Testing the HypothesisSamplingAs t o make this unbiased, we first picked a number from 1 – 5 randomly, if I were just to pick number 1 that would mean all the numbers at the bottom would not be included in our sample. We picked 1 – 5 as we can count out 10 numbers from each of the points. I picked each 5th value. Next I had to determine the size of my sample using stratified sampling, I chose 40, as it is easy to work with and allowed me to get 10 streets from each district.x- – – – – – X 40 =200With this equation I can find the same proportion in sample as we have in the population. In this case x is number of houses.As we do not just want to pick a random 10 numbers from my sample, as this would be biased, I used systematic sampling and decided to choose every 5th data entry.Using The SampleI am going to draw a histogram for the sample and compare the values with that of the histogram for the whole population. I then drew a cumulative frequency curve of the sample an d compared it with the cumulative frequency curve of the whole population.Below is a table of median, lower quartile, upper quartile and inter-quartile range.CF Graph of theMedianLQUQInter-Quartile RangePopulationà ¯Ã‚ ¿Ã‚ ½68,000à ¯Ã‚ ¿Ã‚ ½44,000à ¯Ã‚ ¿Ã‚ ½108,000à ¯Ã‚ ¿Ã‚ ½64,000Sampleà ¯Ã‚ ¿Ã‚ ½76,000à ¯Ã‚ ¿Ã‚ ½44,000à ¯Ã‚ ¿Ã‚ ½128,000à ¯Ã‚ ¿Ã‚ ½84,000Modal class is the value, which the highest frequency occurs in.From looking at our histograms it is clear that there is a definite modal class in both, it is in the à ¯Ã‚ ¿Ã‚ ½40,000 to à ¯Ã‚ ¿Ã‚ ½50,000 section, this value is highest in both. The lowest values in both are in the à ¯Ã‚ ¿Ã‚ ½160,000 to à ¯Ã‚ ¿Ã‚ ½200,000 bar. The Inter quartile range of the population is lower than that of the sample; this shows the measure of spread is greater in the sample. The greater measure of spread is because the results are more spaced out, i.e. a higher upper or lower quartile in the sample than that of the populations. The layo ut in both sample and population histograms is very similar proving the sample that has been taken is a good representation of the population.I then drew box plots for the price. I found that in Arlington the median was à ¯Ã‚ ¿Ã‚ ½129,800, therefore on average the house prices in that district are dearer. In Castlemains there is an even distribution of mid-priced houses. In Tobermory there are more expensive houses than cheaper ones. Also in Westlake most of the houses are cheap compared to the others. If the median is closer to the LQ it is positively skewed, in my box plots Tobermory and Castlemains are positively skewed. Therefore this means the values above the median are more spread out that than below the median. If the median is closer to the UQ it is negatively skewed. Westlake and Arlington are negatively skewed in this case; this means the values below the median is more spread out.The stronger the gradient the stronger the relationship is. Price of a house = in Arlington ’s case: -Price = 18650 times number of bedrooms plus 51900 the answer to the equation would therefore be more reliable with a greater gradient.I calculated the IQR of each district and found that Arlington an IQR of 21,750 this shows a greater range in prices. This compared to Westlake with an IQR of 10,675. This means that the smaller the value the less range of prices in the district. Castlemains had an IQR of 15,300 and Tobermory an IQR of 18,475; again from this we can establish a pattern.The stronger the gradient, the stronger the relationship is.Looking back at my scatter-graphs using the R squared value I can determine the correlation of the graphs. The strongest graph of positive correlation is for Arlington with an R squared value of 0.9272. The graph that shows the weakest graph of positive correlation is for the Castlemains district.Using the equation of the line I was able to interpret the missing data. I will demonstrate how I gathered the missing data. These ar e 2 examples.Arlington (house number 154)Y=18650x + 51900122400= 18650x + 51900(-51900)70500=18650xx= 3.78 xà ¯Ã‚ ¿Ã‚ ½ 4Castlemains (house number 76)Y=17379x + 11107Y= 17379 (3) + 11107Y= à ¯Ã‚ ¿Ã‚ ½63244The missing data is presented in the blue. They are:DistrictStreetHouse NumberNo. Of BedroomsHouse PriceArlingtonCherrytree1544à ¯Ã‚ ¿Ã‚ ½122400ArlingtonOakhill845à ¯Ã‚ ¿Ã‚ ½146650DistrictStreetHouse NumberNo. Of BedroomsHouse PriceCastlemainDeerpark763à ¯Ã‚ ¿Ã‚ ½63200CastlemainHighfield274à ¯Ã‚ ¿Ã‚ ½80600DistrictStreetHouse NumberNo. Of BedroomsHouse PriceTobermoryArchvale512à ¯Ã‚ ¿Ã‚ ½38600TobermoryBallyrae193à ¯Ã‚ ¿Ã‚ ½50500TobermoryParkmore453à ¯Ã‚ ¿Ã‚ ½48000DistrictStreetHouse NumberNo. Of BedroomsHouse PriceWestlakeMaltby613à ¯Ã‚ ¿Ã‚ ½41500I rounded these values to the nearest à ¯Ã‚ ¿Ã‚ ½100, as the R Squared value is not 1, it is not exact.I compared my missing data with the trends of the houses in my sample. Also all of my graphs had positive correlation and a hi gh R squared value. Although they cannot be perfect values as the R squared value is not exactly 1 and the number of bedrooms is discreet data be. Also there is some data that breaks the trend e.g. Tobermory no. 49 Millrow has an area of 40900 sq ft and 3 beds which costs à ¯Ã‚ ¿Ã‚ ½48000 whereas 17b Ballyrae Tobermory has 2 beds and an area of 45150 sq ft and costs à ¯Ã‚ ¿Ã‚ ½50,5000. So the number of bedrooms is not the over-ruling factor in all of these houses.From this I can conclude that my first hypothesis has been confirmed as it fits the pattern.†Number of Bedrooms does affect the Price of Houses†ConclusionI found that the number of bedrooms in a house does affect the overall price. I drew various graphs including Scatter graphs, Box plots and Cumulative Frequency Curves, these all support my hypothesis, therefore I believe it to be correct that â€Å"some factors do affect house price†We were given a population that contained 200 houses in 4 districts w ith 50 houses in each district. There were a few limitations of the data as parts of the data were incomplete (missing) and some more information would have been helpful like e.g. age of house and where is it situated (as we do not even know it these houses are in the same town). It was not appropriate to use the whole range of data, as some of it was rogue.My sampling technique was the most appropriate as it was easy to work with, but it was small, if I were to repeat my sampling I would take 60 values instead of 40. The population was represented well by the sample.My overall strategy was effective; my only criticisms are that I could have drawn both Histograms on the same graph, as well as both Cumulative Frequency graphs on the same sheet. It would have been easier to compare to one another using the % Frequency Density/Cumulative Frequency values. I did address the problem I had hoped. The limitations were that I could not draw box plots for the number of bedrooms as it is disc reet data, instead of a box plot I could have drawn a pie chart or bar chart to represent the number of bedrooms. Also we do not know about the condition of the house or its interior. Modifications could have been made to the houses like extensions, central heating fitted, double-glazing or a loft conversion.If I were to have more time I would investigate the square footage of the house using the same sample and technique I employed earlier. Then after that I would investigate if a garage affects the price of a house also.Any house that breaks the trend could be down to its condition or modifications made to its interior or exterior. More data would have been helpful to gather a clearer overall picture. The aim of this project is to find out which factors affect the selling price of a house Essay Thank you for reading this Sample!