TEACHING LARGE CLASSES WITH WEB TECHNOLOGIES
|
|
|
- Vincent Anthony
- 10 years ago
- Views:
Transcription
1 Mūsdieu izglītības problēmas TEACHING LARGE CLASSES WITH WEB TECHNOLOGIES Kumar M. Agarwal Riga Busiess School Riga Techical Uiversity Skolas St. 11, Riga, Latvia This article explores teachers beefits of usig CALL (Computer-assisted Laguage Learig) which icludes teachig the Eglish Laguage i large classes. This paper reports o the perceived differeces betwee the classical way of teachig the laguage ad the moder oe i.e. usig the iformatio techologies. Research shows that by usig computers, studets become better problem solvers ad better commuicators. Over a etwork, usig ad sharig files, studets have the chace to collaborate ad work together with other classmates, peers, ad teachers. Learig is the trasformed from a traditioal passive-listeig exercise to a experiece of discovery, exploratio, ad excitemet. Studets ca begi to realize their full potetial whe they are empowered to cotribute ad collaborate as a team to accomplish their readig ad writig tasks more effectively. Util quite recetly, computer-assisted laguage learig (CALL) was a topic of relevace mostly to those with a special iterest i that area. Recetly, though, computers have become so widespread i schools ad homes ad their uses have expaded so dramatically that the majority of laguage teachers must ow begi to thik about the implicatios of computers for laguage learig. This article provides brief overview of how computers ca be used for laguage teachig (Goyal, 2002). It focuses ot o a techical descriptio of hardware ad software, but rather o the pedagogical questios that teachers have cosidered i usig computers i the classroom. Keywords: Laguage learig approaches, iformatio techologies, large classes 1. Itroductio Large classes are a reality i may coutries ad they pose particular challeges. This article suggests ways to help disciplie, to use group work ad to cope with limited resources. Keepig studets iterested ad egaged i the curret topic or activity is a daily challege for teachers i the classroom. Oe of the advatages of the Iteret is that it provides ew possibilities for assistig teachers to successfully meet this challege. Computers have bee used for laguage teachig ever sice the 1960's (Malhotra, 2004). 2. Challeges of teachig a large class There are a lot of challeges faced by a teacher istructig large classes: It's difficult to keep good disciplie goig i a large class. You have to provide for more childre of differet ages ad differet abilities, who wat to lear differet thigs at differet speeds ad i differet ways. You do t have eough time for each idividual oe. You ca't easily give each child the idividual attetio they eed. You may ot have eough books or teachig ad learig aids. It s difficult to get studets uderstad ad iterested. Less attetio so less progress Util quite recetly, computer-assisted laguage learig (CALL) was a topic of relevace mostly to those with a special iterest i that area (Brow, 1999). Recetly, though, computers have become so widespread i schools ad homes ad their uses have expaded so dramatically that the majority of laguage teachers must ow begi to thik about the implicatios of computers for laguage learig. The best way to meet the above-metioed eeds is to use Computer-assisted Laguage Learig because there are a lot of advatages of it. 3. Advatages of CALL (Computer-assisted Laguage Learig) Motivatio Authetic materials for study Greater iteractio Differet sources of iformatio Global uderstadig Idividualizatio Repeated exposure to the same material Repeated drills ad immediate o-judgmetal feedback 40
2 Starpaugstskolu ziātiski praktiskās u mācību metodiskās kofereces raksti Material o a idividualized basis Flexible to a variety of studet resposes Powerful self-access facility A ew role to teachig materials There are a lot of advatages of CALL but it is ot applied everywhere successfully because there are several barriers that do ot let it be applied i the educatioal programmes. The barriers ihibitig the practice of Computer-assisted Laguage Learig ca be classified i the followig commo categories: Fiacial barriers Availability of computer hardware ad software at the istitutios Lack of techical ad theoretical kowledge of teachig staff ad studets Acceptace of the techology Lack of kowledge of its beefits Lack of iterests Lack of time ad awareess 4. Computer-assisted Laguage Learig i a large class It is quite obvious that a large class ca be divided ito several groups based o studets kowledge. I order to orgaize differet groups based o studets kowledge of the Eglish Laguage it is ecessary to defie their level. For this reaso I have created a web-site I this site there is a test which defie studets kowledge of the Eglish laguage. There are 63 questios i the test ad as soo as studets complete the test they get to kow about their levels. Begiers Elemetary Pre-Itermediate Itermediate High-Itermediate Advaced I a large class studets pairs ad groups ca help each other ad lear from each other. They do't get bored listeig to teacher talk. 5. Group orgaizatio to suit the studets' abilities Approaches of Laguage Learig ad Teachig: There are 3 well-kow approaches to teach ad lear laguages: 1. Classical approach (Teacher + Studets) 2. Moder approach (Computer + Studets) 3. Ultramoder approach (Teacher + computer + Studet) The research carried out at Iformatio Systems Maagemet Istitute has proved that the best way of learig ay laguage is approach 3 as havig bee explaied the topic by a teacher ad a computer i class, studets leared better ad faster ad they scored better marks i the tests. Group divisio withi approach 3: A teacher divides class ito several groups depedig o the score that shows their level of the Eglish laguage kowledge. There ca be more tha oe group of studets with the same level. The test cosists of 63 questios. A teacher divides class ito several groups takig ito cosideratio that i oe group there caot be more tha 5 studets. Kowledge level Begier Elemetary Pre- Itermediate Itermediate High- Itermediate Advaced Proficiecy Fig.1. Kowledge-based group divisio 41
3 Mūsdieu izglītības problēmas As soo as a teacher defies studets kowledge level, a class ca be divided ito differet groups depedig o there kowledge level takig ito cosideratio that a group ca have ot more tha 4 studets. class Group 1 Group 2 Group 3 Group Subgroup 1 subgroup 2 subgroup k Fig.2. Divisio of a large class ito various groups As a result of the above-metioed test, we ca defie mathematical expectatio of variables which gives average expected aswers of a test i= 1 i i ( )... M x = X P + X P + + X P = X P. As P1 + P2 + L+ P = 1, the + + L + X ipi P1 + P2 + L + P P i= 1 i XP XP XP i= 1 ( ) = = M x I the above-metioed case we have average weighed-up arithmetic value of X. I this case it is very simple to defie the mode i.e. the most probable value of a variable. I order to form groups of 6 types with a maximum umber of studets i each oe is 4, testig is doe. Number of groups ca be defied with the followig formula: ( )( )( ) C =, 4! where umber of studets i each group 4 C all possible combiatio to form a group. Number of studets left (M) after group formatio ( )( )( ) M = C =. 4! From remaied studets umber of groups with 3 studets ( )( m ) 3 m m 1 2 Cm 3! =. From remaied studets umber of groups with 2 studets C ( ) 2 m m 1 m =, 2! where 3 2 C + C 3. m m Teachers of large classes ca orgaize the groups based o studets kowledge. Three types of groups ca be orgaized: same-ability groups, mixed-ability groups, usig group leaders.. 42
4 Starpaugstskolu ziātiski praktiskās u mācību metodiskās kofereces raksti Same-ability groups: The studets with the same levels ca be grouped so that they will feel free workig with others ad teachers will ot have to explai the thigs to each idividual oe. Such kids of groups are really very good ot oly for teachers but also for studets as the teacher ca leave the groups of faster learers to get o with the work o their ow. S/he ca give extra help to idividual learers i the slower groups. The teacher ca just come aroud give some istructio or tasks to do if the group is strog ad give more time to the group cosists of studets with lower level of the kowledge. Mixed-ability groups: Such kid of groups ca be orgaized to let more able studets help the others. The more able learers i the group ca help the others to master the work so that the teacher eed ot teach some parts. As the studets work o their ow the teacher gets free for other groups. Usig group leaders: I same-ability groups ad mixed-ability groups some more able studets ca be appoited a leader of the group so that they ca help others to uderstad the thigs better ad faster. Some teachers appoit faster, more able learers as group leaders or moitors who ca help slower learers. As soo as a large class is divided ito several small groups, a teacher ca explai some themes to them ad let studets work i their ow groups. A teacher ca explai the theme with the help of computers. For istace, a teacher explais some grammar part to their studets ad asks them to take some olie tests from my site. Research shows that studets work with great pleasure o the computers ad they are welldisciplied. A teacher has to just walk aroud from oe group to aother ad liste to studets talk ad make some commets. A screeshot of my web page which is used for laguage teachig purpose Coclusio Nowadays large classes are the biggest problem faced by educatioal istitutio specially while teachig laguages. Laguage istructors caot work effectively ad efficietly i large classes. I order to work with good results laguage istructors ought to use moder techologies which ca help them orgaize large class ad their job as well. Moder iformatio techology icludig iteret resources provides ot oly studets but also istructors with great possibilities for iovative outside classroom challeges i the teachig ad learig of laguages. The old-fashioed classroom-based approach of istructio where istructors do everythig should ot be used ay more as istructors caot provide studets with versatile kowledge because of lack of authetic materials ad time but at the same time use of iteret resources ca solve all these problems. The research carried out at two higher educatioal istitutes has proved that large classes are ot a problem ay more if laguage teachig ad learig take place with the use of computers ad classes are divided ito differet groups depedig o studets kowledge of laguages. 43
5 Mūsdieu izglītības problēmas Refereces 1. Goyal L., Eglish Laguage Teachig, Idia, 2002 Brow Susa, ig i readig classroom, Malhotra G, Moder Techologies ad ELT, Idia, Surider M, IT ad Teachig, Idia, Richardso James, Teachig Methodology, Agarwal S, CALL- Advatages & Disadvatages, Idia, Kumars M. Agarwals. VALODAS APGUVE LIELĀS AUDITORIJĀS, IZMANTOJOT TĪKLU TEHNOLOĢIJAS Šis raksts ir veltīgs CALL (valodas apguve ar datora palīdzību) programmas lietojuma priekšrocībām, kura ir paredzēta agļu valodas apgūšaai lielās auditorijās. Šajā darbā tiek aplūkotas atšķirības starp valodas mācīšaas klasiskajām u moderajām metodēm, t.i. izmatojot iformāciju teholoģijas. Pētījumi rāda, ka studeti strādājot ar datoru labāk risia uzdevumus u vieglāk mācās. Lietojot tīmekli, izmatojot e-pastu, studeti iegūst iespēju sadarboties, strādāt kopā ar klases biedriem, pasiedzējiem, skolotājiem. Šādā veidā mācības tiek pārveidotas o tradicioālās pasīvās vigriājumu oklausīšaās par aizraujošu piedzīvojumu, kura laikā tiek atklātas u izpētītas jauas lietas u jēdziei. Studeti var sākt apziāties savas poteciālās iespējas, ja viņiem ir siegta iespēja ieguldīt savu darba daļu lielā kopīgā darbā; strādājot komadā, lai izpildītu lasīšaas u rakstīšaas vigriājumus. Līdz pat eseam laikam valodas apmācība ar datoru (CALL) pārsvarā veica tie cilvēki, kuri iteresējās tieši par šo ziību jomu. Taču pēdējā laikā dators ir kļuvis tik izplatīts ga skolā, ga mājās u datora fukcijas ir tik ļoti paplašiājušās, ka svešvalodu pasiedzējiem ir labs iemesls aizdomāties par to, cik ļoti dators ir svarīgs apgūstot valodas. Šajā rakstā tiek siegts īss apskats par to, kā datoru var izmatot apgūstot valodu(goyal, 2002). Raksts av veltīts datoru tehisko specifikāciju u programmodrošiājuma aprakstam, bet ga pedagoģiskiem jautājumiem, kurus pasiedzējiem ir jārisia tad, kad dators tiek izmatots auditorijā mācot valodu. Atslēgas vārdi: valodas mācīšaas veidi, iformācijas teholoģijas, lielas auditorijas Kumar, M. Agarwal. TEACHING LARGE CLASSES WITH WEB TECHNOLOGIES This article explores teachers beefits of usig CALL (Computer-assisted Laguage Learig) which icludes teachig the Eglish Laguage i large classes. This paper reports o the perceived differeces betwee the classical way of teachig the laguage ad the moder oe i.e. usig the iformatio techologies. Research shows that by usig computers, studets become better problem solvers ad better commuicators. Over a etwork, usig ad sharig files, studets have the chace to collaborate ad work together with other classmates, peers, ad teachers. Learig is the trasformed from a traditioal passivelisteig exercise to a experiece of discovery, exploratio, ad excitemet. Studets ca begi to realize their full potetial whe they are empowered to cotribute ad collaborate as a team to accomplish their readig ad writig tasks more effectively. Util quite recetly, computer-assisted laguage learig (CALL) was a topic of relevace mostly to those with a special iterest i that area. Recetly, though, computers have become so widespread i schools ad homes ad their uses have expaded so dramatically that the majority of laguage teachers must ow begi to thik about the implicatios of computers for laguage learig. This article provides brief overview of how computers ca be used for laguage teachig (Goyal, 2002). It focuses ot o a techical descriptio of hardware ad software, but rather o the pedagogical questios that teachers have cosidered i usig computers i the classroom. Keywords: Laguage learig approaches, iformatio techologies, large classes 44
STUDENTS PARTICIPATION IN ONLINE LEARNING IN BUSINESS COURSES AT UNIVERSITAS TERBUKA, INDONESIA. Maya Maria, Universitas Terbuka, Indonesia
STUDENTS PARTICIPATION IN ONLINE LEARNING IN BUSINESS COURSES AT UNIVERSITAS TERBUKA, INDONESIA Maya Maria, Uiversitas Terbuka, Idoesia Co-author: Amiuddi Zuhairi, Uiversitas Terbuka, Idoesia Kuria Edah
The Importance of Media in the Classroom
01-TilestoVol09.qxd 8/25/03 3:47 PM Page 1 1 The Importace of Media i the Classroom As teachers, we have a wealth of iformatio from which to choose for our classrooms. We ca ow brig history ito the classroom
Professional Networking
Professioal Networkig 1. Lear from people who ve bee where you are. Oe of your best resources for etworkig is alumi from your school. They ve take the classes you have take, they have bee o the job market
One Goal. 18-Months. Unlimited Opportunities.
18 fast-track 18-Moth BACHELOR S DEGREE completio PROGRAMS Oe Goal. 18-Moths. Ulimited Opportuities. www.ortheaster.edu/cps Fast-Track Your Bachelor s Degree ad Career Goals Complete your bachelor s degree
The Forgotten Middle. research readiness results. Executive Summary
The Forgotte Middle Esurig that All Studets Are o Target for College ad Career Readiess before High School Executive Summary Today, college readiess also meas career readiess. While ot every high school
How to use what you OWN to reduce what you OWE
How to use what you OWN to reduce what you OWE Maulife Oe A Overview Most Caadias maage their fiaces by doig two thigs: 1. Depositig their icome ad other short-term assets ito chequig ad savigs accouts.
(VCP-310) 1-800-418-6789
Maual VMware Lesso 1: Uderstadig the VMware Product Lie I this lesso, you will first lear what virtualizatio is. Next, you ll explore the products offered by VMware that provide virtualizatio services.
6. p o s I T I v e r e I n f o r c e M e n T
6. p o s I T I v e r e I f o r c e M e T The way positive reiforcemet is carried out is more importat tha the amout. B.F. Skier We all eed positive reiforcemet. Whether or ot we are cosciously aware of
In nite Sequences. Dr. Philippe B. Laval Kennesaw State University. October 9, 2008
I ite Sequeces Dr. Philippe B. Laval Keesaw State Uiversity October 9, 2008 Abstract This had out is a itroductio to i ite sequeces. mai de itios ad presets some elemetary results. It gives the I ite Sequeces
Determining the sample size
Determiig the sample size Oe of the most commo questios ay statisticia gets asked is How large a sample size do I eed? Researchers are ofte surprised to fid out that the aswer depeds o a umber of factors
AGC s SUPERVISORY TRAINING PROGRAM
AGC s SUPERVISORY TRAINING PROGRAM Learig Today...Leadig Tomorrow The Kowledge ad Skills Every Costructio Supervisor Must Have to be Effective The Associated Geeral Cotractors of America s Supervisory
Enhancing the English learning effectiveness of 8 th grade students using an online interactive English system
World Trasactios o Egieerig ad Techology Educatio Vol.6, No.1, 7 7 UICEE Ehacig the Eglish learig effectiveess of 8 th grade studets usig a olie iteractive Eglish system Tseg-Chih Chag, Chia-Li Chag, Yeli
College of Nursing and Health care Professions
College of Nursig ad Health care Professios a history of excellece Grad Cayo Uiversity s College of Nursig ad Health Care Professios has bee providig a outstadig health care educatio for over 25 years.
Flood Emergency Response Plan
Flood Emergecy Respose Pla This reprit is made available for iformatioal purposes oly i support of the isurace relatioship betwee FM Global ad its cliets. This iformatio does ot chage or supplemet policy
CREATIVE MARKETING PROJECT 2016
CREATIVE MARKETING PROJECT 2016 The Creative Marketig Project is a chapter project that develops i chapter members a aalytical ad creative approach to the marketig process, actively egages chapter members
G r a d e. 2 M a t h e M a t i c s. statistics and Probability
G r a d e 2 M a t h e M a t i c s statistics ad Probability Grade 2: Statistics (Data Aalysis) (2.SP.1, 2.SP.2) edurig uderstadigs: data ca be collected ad orgaized i a variety of ways. data ca be used
FOCUS 2015 PATHWAYS EXTRAORDINARY EXPERIENCES COMMUNITY CONNECTIONS OPERATIONAL EXCELLENCE STRATEGIC PLAN. INSPIRE n TRANSFORM n CONNECT
INSPIRE TRANSFORM CONNECT FOCUS 2015 STRATEGIC PLAN PATHWAYS EXTRAORDINARY EXPERIENCES COMMUNITY CONNECTIONS OPERATIONAL EXCELLENCE FOCUS 2015 is our refreshed strategic pla that builds o ad stregthes
Hypothesis testing. Null and alternative hypotheses
Hypothesis testig Aother importat use of samplig distributios is to test hypotheses about populatio parameters, e.g. mea, proportio, regressio coefficiets, etc. For example, it is possible to stipulate
INVESTMENT PERFORMANCE COUNCIL (IPC)
INVESTMENT PEFOMANCE COUNCIL (IPC) INVITATION TO COMMENT: Global Ivestmet Performace Stadards (GIPS ) Guidace Statemet o Calculatio Methodology The Associatio for Ivestmet Maagemet ad esearch (AIM) seeks
Agenda. Outsourcing and Globalization in Software Development. Outsourcing. Outsourcing here to stay. Outsourcing Alternatives
Outsourcig ad Globalizatio i Software Developmet Jacques Crocker UW CSE Alumi 2003 [email protected] Ageda Itroductio The Outsourcig Pheomeo Leadig Offshore Projects Maagig Customers Offshore Developmet
GOOD PRACTICE CHECKLIST FOR INTERPRETERS WORKING WITH DOMESTIC VIOLENCE SITUATIONS
GOOD PRACTICE CHECKLIST FOR INTERPRETERS WORKING WITH DOMESTIC VIOLENCE SITUATIONS I the sprig of 2008, Stadig Together agaist Domestic Violece carried out a piece of collaborative work o domestic violece
ODBC. Getting Started With Sage Timberline Office ODBC
ODBC Gettig Started With Sage Timberlie Office ODBC NOTICE This documet ad the Sage Timberlie Office software may be used oly i accordace with the accompayig Sage Timberlie Office Ed User Licese Agreemet.
How to read A Mutual Fund shareholder report
Ivestor BulletI How to read A Mutual Fud shareholder report The SEC s Office of Ivestor Educatio ad Advocacy is issuig this Ivestor Bulleti to educate idividual ivestors about mutual fud shareholder reports.
Lesson 17 Pearson s Correlation Coefficient
Outlie Measures of Relatioships Pearso s Correlatio Coefficiet (r) -types of data -scatter plots -measure of directio -measure of stregth Computatio -covariatio of X ad Y -uique variatio i X ad Y -measurig
Setting Up a Contract Action Network
CONTRACT ACTION NETWORK Settig Up a Cotract Actio Network This is a guide for local uio reps who wat to set up a iteral actio etwork i their worksites. This etwork cosists of: The local uio represetative,
undergraduate Invest in your greatest asset you. www.northeastern.edu/cps
udergraduate UNDERgraduaTE DEGREE PROGRAMS Ivest i your greatest asset you. www.ortheaster.edu/cps The College of Professioal Studies Experiece Northeaster Uiversity i a whole ew way. Put yourself o track
Ideate, Inc. Training Solutions to Give you the Leading Edge
Ideate, Ic. Traiig News 2014v1 Ideate, Ic. Traiig Solutios to Give you the Leadig Edge New Packages For All Your Traiig Needs! Bill Johso Seior MEP - Applicatio Specialist Revit MEP Fudametals Ad More!
Hypergeometric Distributions
7.4 Hypergeometric Distributios Whe choosig the startig lie-up for a game, a coach obviously has to choose a differet player for each positio. Similarly, whe a uio elects delegates for a covetio or you
Digital Enterprise Unit. White Paper. Web Analytics Measurement for Responsive Websites
Digital Eterprise Uit White Paper Web Aalytics Measuremet for Resposive Websites About the Authors Vishal Machewad Vishal Machewad has over 13 years of experiece i sales ad marketig, havig worked as a
Harnessing Natural and Human Capital 2009 10
NATURAL RESOURCES INSTITUTE Haressig Natural ad Huma Capital 2009 10 www.ri.org Who we are The Natural Resources Istitute (NRI) is a specialist istitute of the Uiversity of Greewich. We provide research,
Predictive Modeling Data. in the ACT Electronic Student Record
Predictive Modelig Data i the ACT Electroic Studet Record overview Predictive Modelig Data Added to the ACT Electroic Studet Record With the release of studet records i September 2012, predictive modelig
Learning English Vocabulary With a foreword by Paul Nation and Word Lists from the British National Corpus. Teacher s Guide
Learig Eglish Vocabulary With a foreword by Paul Natio ad Word Lists from the British Natioal Corpus Itroductio Teacher s Guide A lot has bee writte about the teachig of the readig skill, but the most
How To Write A Privacy Policy For A Busiess
Office of the Privacy Commissioer of Caada PIPEDA Privacy Guide for Small Busiesses: The Basics Privacy is the best policy Hadlig privacy cocers correctly ca help improve your orgaizatio s reputatio. Whe
Elementary Theory of Russian Roulette
Elemetary Theory of Russia Roulette -iterestig patters of fractios- Satoshi Hashiba Daisuke Miematsu Ryohei Miyadera Itroductio. Today we are goig to study mathematical theory of Russia roulette. If some
Analyzing Longitudinal Data from Complex Surveys Using SUDAAN
Aalyzig Logitudial Data from Complex Surveys Usig SUDAAN Darryl Creel Statistics ad Epidemiology, RTI Iteratioal, 312 Trotter Farm Drive, Rockville, MD, 20850 Abstract SUDAAN: Software for the Statistical
A GUIDE TO BUILDING SMART BUSINESS CREDIT
A GUIDE TO BUILDING SMART BUSINESS CREDIT Establishig busiess credit ca be the key to growig your compay DID YOU KNOW? Busiess Credit ca help grow your busiess Soud paymet practices are key to a solid
Pre-Suit Collection Strategies
Pre-Suit Collectio Strategies Writte by Charles PT Phoeix How to Decide Whether to Pursue Collectio Calculatig the Value of Collectio As with ay busiess litigatio, all factors associated with the process
CHAPTER 7: Central Limit Theorem: CLT for Averages (Means)
CHAPTER 7: Cetral Limit Theorem: CLT for Averages (Meas) X = the umber obtaied whe rollig oe six sided die oce. If we roll a six sided die oce, the mea of the probability distributio is X P(X = x) Simulatio:
Information for Adult Students
Admissios Office................ Couselig Office............... Admissios Office................ Admissios Office................ Coordiator of Disabilities........ Olie Educatio Office.......... Eglish
1 Computing the Standard Deviation of Sample Means
Computig the Stadard Deviatio of Sample Meas Quality cotrol charts are based o sample meas ot o idividual values withi a sample. A sample is a group of items, which are cosidered all together for our aalysis.
INVESTMENT PERFORMANCE COUNCIL (IPC) Guidance Statement on Calculation Methodology
Adoptio Date: 4 March 2004 Effective Date: 1 Jue 2004 Retroactive Applicatio: No Public Commet Period: Aug Nov 2002 INVESTMENT PERFORMANCE COUNCIL (IPC) Preface Guidace Statemet o Calculatio Methodology
Get advice now. Are you worried about your mortgage? New edition
New editio Jauary 2009 Are you worried about your mortgage? Get advice ow If you are strugglig to pay your mortgage, or you thik it will be difficult to pay more whe your fixed-rate deal eds, act ow to
Amendments to employer debt Regulations
March 2008 Pesios Legal Alert Amedmets to employer debt Regulatios The Govermet has at last issued Regulatios which will amed the law as to employer debts uder s75 Pesios Act 1995. The amedig Regulatios
PUBLIC RELATIONS PROJECT 2016
PUBLIC RELATIONS PROJECT 2016 The purpose of the Public Relatios Project is to provide a opportuity for the chapter members to demostrate the kowledge ad skills eeded i plaig, orgaizig, implemetig ad evaluatig
Impact your future. Make plans with good advice from ACT. Get Set for College 1. THINK 2. CONSIDER 3. COMPARE 4. APPLY 5. PLAN 6.
Impact your future Get Set for College 1. THINK 2. CONSIDER 3. COMPARE 4. APPLY 5. PLAN 6. DECIDE Make plas with good advice from ACT. 1. Thik Thik about yourself ad your college eeds Do you start thigs
Measures of Spread and Boxplots Discrete Math, Section 9.4
Measures of Spread ad Boxplots Discrete Math, Sectio 9.4 We start with a example: Example 1: Comparig Mea ad Media Compute the mea ad media of each data set: S 1 = {4, 6, 8, 10, 1, 14, 16} S = {4, 7, 9,
Math C067 Sampling Distributions
Math C067 Samplig Distributios Sample Mea ad Sample Proportio Richard Beigel Some time betwee April 16, 2007 ad April 16, 2007 Examples of Samplig A pollster may try to estimate the proportio of voters
WindWise Education. 2 nd. T ransforming the Energy of Wind into Powerful Minds. editi. A Curriculum for Grades 6 12
WidWise Educatio T rasformig the Eergy of Wid ito Powerful Mids A Curriculum for Grades 6 12 Notice Except for educatioal use by a idividual teacher i a classroom settig this work may ot be reproduced
ESL Healthcare Bridge Program Outreach Materials
ESL Healthcare Bridge Program Outreach Materials This package cosists of a brochure ad two flyers Developed by NORTH SEATTLE COMMUNITY COLLEGE Fuded by the Seattle Commuity-Based Health Care Traiig Partership
CHAPTER 11 Financial mathematics
CHAPTER 11 Fiacial mathematics I this chapter you will: Calculate iterest usig the simple iterest formula ( ) Use the simple iterest formula to calculate the pricipal (P) Use the simple iterest formula
Assessment of the Board
Audit Committee Istitute Sposored by KPMG Assessmet of the Board Whe usig a facilitator, care eeds to be take if the idividual is i some way coflicted due to the closeess of their relatioship with the
INDEPENDENT BUSINESS PLAN EVENT 2016
INDEPENDENT BUSINESS PLAN EVENT 2016 The Idepedet Busiess Pla Evet ivolves the developmet of a comprehesive proposal to start a ew busiess. Ay type of busiess may be used. The Idepedet Busiess Pla Evet
Modified Line Search Method for Global Optimization
Modified Lie Search Method for Global Optimizatio Cria Grosa ad Ajith Abraham Ceter of Excellece for Quatifiable Quality of Service Norwegia Uiversity of Sciece ad Techology Trodheim, Norway {cria, ajith}@q2s.tu.o
Desktop Management. Desktop Management Tools
Desktop Maagemet 9 Desktop Maagemet Tools Mac OS X icludes three desktop maagemet tools that you might fid helpful to work more efficietly ad productively: u Stacks puts expadable folders i the Dock. Clickig
The following example will help us understand The Sampling Distribution of the Mean. C1 C2 C3 C4 C5 50 miles 84 miles 38 miles 120 miles 48 miles
The followig eample will help us uderstad The Samplig Distributio of the Mea Review: The populatio is the etire collectio of all idividuals or objects of iterest The sample is the portio of the populatio
Your organization has a Class B IP address of 166.144.0.0 Before you implement subnetting, the Network ID and Host ID are divided as follows:
Subettig Subettig is used to subdivide a sigle class of etwork i to multiple smaller etworks. Example: Your orgaizatio has a Class B IP address of 166.144.0.0 Before you implemet subettig, the Network
Baan Service Master Data Management
Baa Service Master Data Maagemet Module Procedure UP069A US Documetiformatio Documet Documet code : UP069A US Documet group : User Documetatio Documet title : Master Data Maagemet Applicatio/Package :
PROCEEDINGS OF THE YEREVAN STATE UNIVERSITY AN ALTERNATIVE MODEL FOR BONUS-MALUS SYSTEM
PROCEEDINGS OF THE YEREVAN STATE UNIVERSITY Physical ad Mathematical Scieces 2015, 1, p. 15 19 M a t h e m a t i c s AN ALTERNATIVE MODEL FOR BONUS-MALUS SYSTEM A. G. GULYAN Chair of Actuarial Mathematics
Research Method (I) --Knowledge on Sampling (Simple Random Sampling)
Research Method (I) --Kowledge o Samplig (Simple Radom Samplig) 1. Itroductio to samplig 1.1 Defiitio of samplig Samplig ca be defied as selectig part of the elemets i a populatio. It results i the fact
CS103A Handout 23 Winter 2002 February 22, 2002 Solving Recurrence Relations
CS3A Hadout 3 Witer 00 February, 00 Solvig Recurrece Relatios Itroductio A wide variety of recurrece problems occur i models. Some of these recurrece relatios ca be solved usig iteratio or some other ad
SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES
SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES Read Sectio 1.5 (pages 5 9) Overview I Sectio 1.5 we lear to work with summatio otatio ad formulas. We will also itroduce a brief overview of sequeces,
Chapter 7: Confidence Interval and Sample Size
Chapter 7: Cofidece Iterval ad Sample Size Learig Objectives Upo successful completio of Chapter 7, you will be able to: Fid the cofidece iterval for the mea, proportio, ad variace. Determie the miimum
Domain 1: Designing a SQL Server Instance and a Database Solution
Maual SQL Server 2008 Desig, Optimize ad Maitai (70-450) 1-800-418-6789 Domai 1: Desigig a SQL Server Istace ad a Database Solutio Desigig for CPU, Memory ad Storage Capacity Requiremets Whe desigig a
Engineering Data Management
BaaERP 5.0c Maufacturig Egieerig Data Maagemet Module Procedure UP128A US Documetiformatio Documet Documet code : UP128A US Documet group : User Documetatio Documet title : Egieerig Data Maagemet Applicatio/Package
Conclusions. Chapter 9
Chapter 9 Coclusios You have reached the fial chapter of this book o Microsoft s DirectX. At this poit you should have a good uderstadig of DirectX 11 from graphics to iput ad audio as well as basic, yet
auction a guide to selling at Residential
Residetial a guide to sellig at auctio Allsop is the market leader for residetial ad commercial auctios i the UK Aually sells up to 700 millio of property at auctio Holds at least seve residetial ad six
For customers Key features of the Guaranteed Pension Annuity
For customers Key features of the Guarateed Pesio Auity The Fiacial Coduct Authority is a fiacial services regulator. It requires us, Aego, to give you this importat iformatio to help you to decide whether
PENSION ANNUITY. Policy Conditions Document reference: PPAS1(7) This is an important document. Please keep it in a safe place.
PENSION ANNUITY Policy Coditios Documet referece: PPAS1(7) This is a importat documet. Please keep it i a safe place. Pesio Auity Policy Coditios Welcome to LV=, ad thak you for choosig our Pesio Auity.
CS100: Introduction to Computer Science
Course Iformatio CS100: Itroductio to Computer Sciece Lecture 1: Itroductio (Survey, Pictures) Istructor: Xiaoya Li Lecture: Mo. & Wed. 11:00am 12:15pm Room: Kedade Hall 305 Labs: Wed or Thu 1:00pm 2:50pm
How To Get A Kukandruk Studetfiace
Curret Year Icome Assessmet Form Academic Year 2015/16 Persoal details Perso 1 Your Customer Referece Number Your Customer Referece Number Name Name Date of birth Address / / Date of birth / / Address
The analysis of the Cournot oligopoly model considering the subjective motive in the strategy selection
The aalysis of the Courot oligopoly model cosiderig the subjective motive i the strategy selectio Shigehito Furuyama Teruhisa Nakai Departmet of Systems Maagemet Egieerig Faculty of Egieerig Kasai Uiversity
Houston Independent School District
Housto Housto Idepedet School District Program Name: Implemeted: Program Type: Legal Authorizatio: Weighted Studet Formula 2000-2001 School Year District-Wide School Board Policy School Empowermet Bechmarks
Week 3 Conditional probabilities, Bayes formula, WEEK 3 page 1 Expected value of a random variable
Week 3 Coditioal probabilities, Bayes formula, WEEK 3 page 1 Expected value of a radom variable We recall our discussio of 5 card poker hads. Example 13 : a) What is the probability of evet A that a 5
A guide to School Employees' Well-Being
A guide to School Employees' Well-Beig Backgroud The public school systems i the Uited States employ more tha 6.7 millio people. This large workforce is charged with oe of the atio s critical tasks to
Solving Logarithms and Exponential Equations
Solvig Logarithms ad Epoetial Equatios Logarithmic Equatios There are two major ideas required whe solvig Logarithmic Equatios. The first is the Defiitio of a Logarithm. You may recall from a earlier topic:
The Canadian Council of Professional Engineers
The Caadia Coucil of Professioal Egieers Providig leadership which advaces the quality of life through the creative, resposible ad progressive applicatio of egieerig priciples i a global cotext Egieerig
Under University of Dhaka
BANGLADESH INSTITUTE OF HEALTH SCIENCES Uder Uiversity of Dhaka I collaboratio with Uiversity of Oslo i Norway supported by NOMA Program AN INSTITUTION OF DIABETIC ASSOCIATION OF BANGLADESH I t r o d u
WHEN IS THE (CO)SINE OF A RATIONAL ANGLE EQUAL TO A RATIONAL NUMBER?
WHEN IS THE (CO)SINE OF A RATIONAL ANGLE EQUAL TO A RATIONAL NUMBER? JÖRG JAHNEL 1. My Motivatio Some Sort of a Itroductio Last term I tought Topological Groups at the Göttige Georg August Uiversity. This
Religious Education MILD
POST-PRIMARY Religious Educatio Guidelies for Teachers of Studets with MILD Geeral Learig Disabilities Cotets Itroductio 3 Approaches ad methodologies 5 Exemplars 15 Guidelies Mild Geeral Learig Disabilities
Building Blocks Problem Related to Harmonic Series
TMME, vol3, o, p.76 Buildig Blocks Problem Related to Harmoic Series Yutaka Nishiyama Osaka Uiversity of Ecoomics, Japa Abstract: I this discussio I give a eplaatio of the divergece ad covergece of ifiite
ABCs. of Diabetes Care
ABCs of Diabetes Care Stayig healthy whe you have diabetes ca be challegig. But the more you focus o the positive results of a healthy diet, medicatio routie ad regular exercise, the easier it will be
I. Why is there a time value to money (TVM)?
Itroductio to the Time Value of Moey Lecture Outlie I. Why is there the cocept of time value? II. Sigle cash flows over multiple periods III. Groups of cash flows IV. Warigs o doig time value calculatios
