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InstructionsACTCOEFF.XLSThis workbook will calculate activities, a.docx
- 1. InstructionsACTCOEFF.XLSThis workbook will calculate activities, activity coefficients, and excess Gibbs energiesfor several activity models. MargulesWorksheet using the Margules equation with two adjustable parameters.Regular A spreadsheet to calculate VLE for methanol + benzene using van Laar and Scatchard/Hildbrand theory.NRTLBinary NRTL model.NRTL5Multicomponent NRTL with up to 5 components.UNIQUACA spreadsheet to use with the binary UNIQUAC activity coefficient model.UNIQUAC5A spreadsheet to use UNIQUAC with up to 5 components.ANTOINETable of Antoine Coefficients.UNIFAC (VLE)A spreadsheet to use with the UNIFAC activity coefficient model for VLE for up to 5 components.aij-UNIFAC (VLE)Database of parameters used by UNIFAC for VLE.UNIFAC (LLEa,b)Two spreadsheets to use with the UNIFAC activity coefficient model for LLE for up to 5 components.aij-UNIFAC (LLE)Database of parameters used by UNIFAC for LLE.LLELiquid + Liquid equilibria: Water + MEK example used in the text.Worksheets are protected. Values in blue may be changed without unlocking the spreadsheet, which willpermit most common calculations.Copyright 1997-2012, Carl Lira, Richard ElliottFor use with "Introductory Chemical Engineering Thermodynamics" by J.R. Elliott, C.T. Lirawww.egr.msu.edu/~lira/thermtxt.htm MargulesMargules EquationGE/RT = x1 x2 ( A21 x1 + A12 x2 )Margules ParametersA12_A21_1.8611.6365Table x1 increment0.05x1x2gamma1gamma2activity1activity2G(mix) /RT0.01.06.430163721139841.00.01.00.00.050.955.2555852854 677661.00517094844374740.26277926427338830.95491240102 156- 0.110650930845872630.10.94.3537650522542811.02061562586 51410.435376505225428150.918554063278627- 0.15961347339144820.150000000000000020.853.65432765806 92971.04645511877098830.54814914871039470.889486850955 34-
- 3. 0.209761775305990720.90000000000000020.099999999999999 761.01467564515553453.903735830915570.9132080806399814 0.390373583091556- 0.175777473391447950.95000000000000030.049999999999999 711.00359256283958994.4691685070393420.953412934697610 70.2234584253519658- 0.120248305845872181.00000000000000020.01.05.1371579575 493551.00000000000000020.00.0 RegularThe bubble temperatures and vapor compositions at each temperature are computedusing: (1) the Scatchard-Hildebrand model with zero binary interaction coefficient;(2) the Scatchard-Hildebrand model with binary interaction coefficient chosen to match the bubble pressure near the azeotrope; (3) the van Laar model; The system illustrated below is the methanol+benzene system. The bubble temperatures are computed by setting the target y1+y2=1 by changing the estimated temperature. This is repeatedfor each composition for each model.Pure Component DataAntoine CoeffABCVL (cm3/mol)d (cal/cm3)1/21MeOH8.080971582.271239.7264014.52benzene6. 879871196.76219.161889.2Mixture data to be used in all sets:Methanol+benzene data from Perry's 6th p13-12 and 13.59 P =760mm Hgx100.0260.050.0880.1640.28420941450.3330.5490.6990.782 0.8980.97303263260.9731y100.2670.3710.4570.5260.5590.5950 .6330.6650.760.9071T (C)80.170.6766.4462.8760.258.6458.0258.158.4759.962.764.7C alculations based on dataT(K)353.25343.82339.59336.02333.35331.79331.17331.253 31.62333.05335.85337.85F100.01198819620.0233644860.04201 680670.08186900960.15288717440.1849588980.35621593560.5 1351748460.61984781230.80007127580.94253152010.9424641 6121Scatchard-Hildebrand model with zero binary interaction coefficient (x's from above) see plot ---- >x100.0260.050.0880.1640.28420941450.3330.5490.6990.7820. 8980.97303263260.9731g14.95691057394.89538924654.806787
- 4. 83224.62650309134.18890136323.44408023473.15202407942.0 5091663581.50662330971.28484166221.07217160281.0057077 4751.00572128441g211.0005145751.00197882391.0065037507 1.02537352791.09266530851.13890667771.62222891252.73114 716664.331674616511.648045417829.022951045429.01086911 39.8015818995P1sat1360.42448262281106.0716894197952.137 51814793.1757052065624.095505732515.2351749135495.4531 540408476.6008252858481.2578406591471.9049840661438.81 92973129515.2002108296515.0633200992759.9949319424P2sat 759.9964718458635.4176672766558.0114507583476.14491525 49386.4323406843326.8841994241315.8845118432305.345391 3333307.954071663302.7114179758284.0489339346326.86480 98363326.7888943353458.7727401791y1 calc00.18523807610.30110019980.42490450920.56413292160. 6635958060.68426254010.70609242120.66687752920.6238746 4470.55592059370.66337888030.66318930260.9999933315y2 calc0.99999535770.81475694310.69889457140.57508997170.4 3586124170.33639805260.31573935210.29394525670.3331071 5130.37612095480.44405094490.33661595390.33680474430T( K)353.249444124347.5419961819343.5351662642338.7873661 067332.7723037034328.130921851327.2005644951326.284469 6831326.5135586643326.0515606261324.3530037549328.1293 040946328.1229693994337.6975630883OBJ(Syi- 1)200000000.00000000140.000000000200.00000000080000.000 0000028 Carl Lira: Bubble temperatures can be found across the composition range using Solver by setting this to zero and adjusting B30:O30|<----- LLE region --->|This table permits calculation of LLE if it exists as above in column G and M (LLE explained in Chap 12)The cross-overs in the above diagram are indicativeLLEDg*xx1of LLE. The points represent experimental data. g1*x10.00025356980.2842094145An interaction parameter is necessary to fit the datag2*x200.9730326326without predicting LLE.Scatchard- Hildebrand model with binary interaction coefficient kij=-
- 5. 0.0330966093x100.0260.050.0880.1640.28420941450.3330.549 0.6990.7820.8980.97303263260.9731g12.99688059222.9495603 5082.89994998742.81299267742.62007676052.29504391922.16 323785491.62368174621.31910325691.18425330081.04782499 891.00383559091.00384463571g211.00035040591.0013414851 1.00438660841.01699160431.0613401871.09135472671.386061 77821.9717003232.68889439575.18562190339.6355230139.632 578255312.501637036P1sat1360.42323478011206.10528035221 097.8500058847970.3827238415809.7320400495680.29239003 48650.4601159501593.2754815985588.0778365853588.256218 4325598.2800414004668.7655310475668.6935528418759.9949 501421P2sat759.9958696321684.8683784041631.324948996256 7.2759093478484.7742452945416.5914044091400.6269103482 369.7318991169366.9036590874367.0007811692372.45180856 55410.4348223667410.3963315571458.772749737y1 calc00.12170327390.20945461250.31606815220.45781033740. 58386370840.616531950.6958506880.71347241750.716810389 60.74072331550.85950871310.85939512650.9999933555y2 calc0.99999456530.87802045120.79021482750.6837171920.54 231247120.4164254880.38372340820.30411123070.286514003 90.2830633460.25921343970.14032803780.14044173560T(K)3 53.2494183718349.9044817302347.3400635957344.037001735 3339.3170186441334.9080466171333.7934560134331.5318331 283331.3173479711 Carl Lira: First, set this to 331.3 (close to azeotrope T and composition), then adjust kij until cell J48 = 0. 331.3247352724331.7368704737334.482311623334.479633988 3337.6975636968OBJ(Syi- 1)200.00000007630.00000010930.00000004610.00000001510.0 0000008360.00000006520.00000000150.00000000020.0000000 1590.0000000040.00000002670.000000026600.0000004705 Carl Lira: Then, use Solver to adjust B47:O47 to calc bubble T's.Van Laar model with A12 and A21 chosen to match the azeotrope. See plot ---->For this calculation, experimental
- 6. azeotrope is taken as x1 = y1 = 0.614, T(C) = 58.3P1sat591.2878949655g11.2853298816A121.9847477283 Carl Lira: These values are calculated from the activitiy coefficient and composition values at the azeotrope. Carl Lira: Bubble temperatures can be found across the composition range using Solver by setting this to zero and adjusting B30:O30 Carl Lira: Then, use Solver to adjust B47:O47 to calc bubble T's.P2sat368.6507859883g22.0615716252A211.7424010368x10 0.0260.050.0880.1640.28420941450.3330.5490.6990.7820.8980 .97303263260.9731g17.27721131926.48400245175.8508002077 5.00842397253.76576634512.56261793042.2401650741.416873 65521.16109677781.07974531541.01645225741.00112040761.0 0112313131g211.00151845991.00558976951.01723362881.059 84703851.18411028761.25733512181.8006654532.5031386296 3.07896610484.22383562055.26252251335.26200625665.71103 93898P1sat1360.4232348651035.6253453081885.786664824475 9.2857358348653.4823405831605.4583220759599.3687985022 591.8375498452593.2068242722602.279738076644.909921032 8716.6530879716716.6080215778759.9949501422P2sat759.995 8696731600.2020122383524.0995349406458.400269742402.24 88441541376.3475698787373.0431116383368.949811832369.6 945625956374.6233047996397.6455313057435.9168982413435 .893032879458.772749737y1 calc00.22972359110.34095794750.44032709150.53102807380. 58022038270.58830805430.60574856430.63348763420.669133 4520.7745488030.91856333050.9184772620.9999933555y2 calc0.99999456540.77037427190.65878641320.55956020380.4 6895447080.41971419740.41164449680.39424235030.3665058 1440.33085873120.22541857190.08139966740.0814857110T(K )353.2494183735345.7697705623341.6401457125337.67384081 08333.9082925468332.0284756469331.7812869091331.472653
- 7. 4359331.5290101879331.8997098002333.5813976996336.2126 79345336.2110968661337.6975636968OBJ(Syi- 1)200.00000000960.00000006540.00000001270.00000000030.0 0000000430.00000000230.000000000100.00000000010.000000 00110.00000000140.000000001400.0000000985 Carl Lira: After determining the A12 and A21, the bubble temperatures are calculated across the composition range as before. 0 2.5999999999999999E-2 0.05 8.7999999999999995E-2 0.16400000000000001 0.28420941450762771 0.33300000000000002 0.54900000000000004 0.69899999999999995 0.78200000000000003 0.89800000000000002 0.97303263263832951 0.97299999999999998 1 353.24944412400248 347.54199618187357 343.53516626418633 338.7873661067195 332.77230370337787 328.13092185097713 327.20056449507689 326.28446968306304 326.51355866430913 326.05156062611064 324.35300375485554 328.12930409461444 328.12296939939716 337.69756308826925 0 0.18523807606481901 0.30110019978909031 0.42490450918554279 0.56413292160300499 0.6635958059604512 0.68426254011950605 0.70609242119422044 0.6668775292468565 0.62387464473882026 0.55592059370370883 0.66337888032750214 0.66318930258351361 0.99999333150316094 353.24944412400248 347.54199618187357 343.53516626418633 338.7873661067195 332.77230370337787 328.13092185097713 327.20056449507689 326.28446968306304 326.51355866430913 326.05156062611064 324.35300375485554 328.12930409461444 328.12296939939716 337.69756308826925 0 2.5999999999999999E-2 0.05 8.7999999999999995E-2
- 8. 0.16400000000000001 0.28420941450762771 0.33300000000000002 0.54900000000000004 0.69899999999999995 0.78200000000000003 0.89800000000000002 0.97303263263832951 0.97299999999999998 1 353.25 343.82 339.59 336.02 333.34999999999997 331.78999999999996 331.16999999999996 331.25 331.62 333.04999999999995 335.84999999999997 337.84999999999997 0 0.26700000000000002 0.371 0.45700000000000002 0.52600000000000002 0.55900000000000005 0.59499999999999997 0.63300000000000001 0.66500000000000004 0.76 0.90700000000000003 1 353.25 343.82 339.59 336.02 333.34999999999997 331.78999999999996 331.16999999999996 331.25 331.62 333.04999999999995 335.84999999999997 337.84999999999997 x-y T(K) 0 2.5999999999999999E-2 0.05 8.7999999999999995E-2 0.16400000000000001 0.28420941450762771 0.33300000000000002 0.54900000000000004 0.69899999999999995 0.78200000000000003 0.89800000000000002 0.97303263263832951 0.97299999999999998 1 353.24941837176107 349.90448173018666 347.34006359568258 344.03700173529143 339.31701864409479 334.9080466170854 333.79345601344033 331.53183312834597 331.31734797112767 331.3247352723742 331.7368704736927 334.4823116229889 334.47963398826869 337.69756369680414 0 0.12170327389226415 0.20945461254557959 0.31606815221694556
- 9. 0.4578103374498701 0.5838637083648438 0.61653194998048066 0.69585068800872807 0.7134724174738527 0.71681038959056209 0.74072331548304171 0.85950871311427757 0.85939512651294026 0.99999335545013823 353.24941837176107 349.90448173018666 347.34006359568258 344.03700173529143 339.31701864409479 334.9080466170854 333.79345601344033 331.53183312834597 331.31734797112767 331.3247352723742 331.7368704736927 334.4823116229889 334.47963398826869 337.69756369680414 0 2.5999999999999999E-2 0.05 8.7999999999999995E-2 0.16400000000000001 0.28420941450762771 0.33300000000000002 0.54900000000000004 0.69899999999999995 0.78200000000000003 0.89800000000000002 0.97303263263832951 0.97299999999999998 1 353.25 343.82 339.59 336.02 333.34999999999997 331.78999999999996 331.16999999999996 331.25 331.62 333.04999999999995 335.84999999999997 337.84999999999997 0 0.26700000000000002 0.371 0.45700000000000002 0.52600000000000002 0.55900000000000005 0.59499999999999997 0.63300000000000001 0.66500000000000004 0.76 0.90700000000000003 1 353.25 343.82 339.59 336.02 333.34999999999997 331.78999999999996 331.16999999999996 331.25 331.62 333.04999999999995 335.84999999999997 337.84999999999997 x-y T(K) 0 2.5999999999999999E-2 0.05 8.7999999999999995E-2
- 10. 0.16400000000000001 0.28420941450762771 0.33300000000000002 0.54900000000000004 0.69899999999999995 0.78200000000000003 0.89800000000000002 0.97303263263832951 0.97299999999999998 1 353.249418373514 345.76977056227628 341.64014571246003 337.67384081078308 333.90829254682114 332.02847564692098 331.78128690905118 331.47265343586326 331.52901018785423 331.89970980015408 333.58139769958552 336.21267934497672 336.21109686608173 337.69756369680567 0 0.22972359109167673 0.34095794753461306 0.44032709152153826 0.53102807376922501 0.58022038272507581 0.58830805428710253 0.60574856427327572 0.6334876342480783 0.66913345201255481 0.774548803002859 0.91856333050173999 0.91847726197584723 0.99999335545019952 353.249418373514 345.76977056227628 341.64014571246003 337.67384081078308 333.90829254682114 332.02847564692098 331.78128690905118 331.47265343586326 331.52901018785423 331.89970980015408 333.58139769958552 336.21267934497672 336.21109686608173 337.69756369680567 0 2.5999999999999999E-2 0.05 8.7999999999999995E-2 0.16400000000000001 0.28420941450762771 0.33300000000000002 0.54900000000000004 0.69899999999999995 0.78200000000000003 0.89800000000000002 0.97303263263832951 0.97299999999999998 1 353.25 343.82 339.59 336.02 333.34999999999997 331.78999999999996 331.16999999999996 331.25 331.62 333.04999999999995 335.84999999999997 337.84999999999997 0 0.26700000000000002 0.371 0.45700000000000002 0.52600000000000002
- 11. 0.55900000000000005 0.59499999999999997 0.63300000000000001 0.66500000000000004 0.76 0.90700000000000003 1 353.25 343.82 339.59 336.02 333.34999999999997 331.78999999999996 331.16999999999996 331.25 331.62 333.04999999999995 335.84999999999997 337.84999999999997 x-y T(K) NRTLParametersIntermediate CalculationsDg12/R(K)200t120.6708032869Dg21/R(K)200t210. 6708032869a12 = a210.2G120.8744495665T (K)298.15G210.8744495665x1x2g1g2013.516221341310.050.95 3.10465296591.0031942340.10.92.76038390631.01279736280.1 50.852.47110963871.02893921240.20.82.22706060351.0518847 0980.250.752.02043877051.0820415920.30.71.84498909811.11 997339850.350.651.69567171761.1664183650.40.61.568409808 1.22231516180.450.551.45989471811.28883681940.50.51.3674 3466461.36743466460.550.451.28883681941.45989471810.60.4 1.22231516181.5684098080.650.351.1664183651.69567171760. 70.31.11997339851.84498909810.750.251.0820415922.0204387 7050.80.21.05188470982.22706060350.850.151.02893921242.4 7110963870.90.11.01279736282.76038390630.950.051.0031942 343.10465296591013.5162213413 gamma1 0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5 0.55000000000000004 0.6 0.65 0.7 0.75 0.8 0.85 0.9 0.95 1 3.5162213412928449 3.1046529659059239 2.7603839063313402 2.4711096386763343 2.2270606035492984 2.0204387704530311 1.844989098095063 1.6956717176001468 1.5684098079557436 1.4598947180787383 1.3674346645894071 1.288836819377158 1.2223151617814934
- 12. 1.1664183649555311 1.1199733985402323 1.0820415919629587 1.0518847098044506 1.0289392124028436 1.0127973627769944 1.0031942340335018 1 gamma2 0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5 0.55000000000000004 0.6 0.65 0.7 0.75 0.8 0.85 0.9 0.95 1 1 1.0031942340335018 1.0127973627769944 1.0289392124028436 1.0518847098044506 1.0820415919629587 1.1199733985402323 1.1664183649555311 1.2223151617814934 1.288836819377158 1.3674346645894071 1.4598947180787383 1.5684098079557436 1.6956717176001468 1.844989098095063 2.0204387704530311 2.2270606035492984 2.4711096386763343 2.7603839063313402 3.1046529659059239 3.5162213412928449 x1 gamma NRTL5NRTL MODELNOTE: The variable and sign conventions are the same as APSEN, not the original publication.tij = aij + bij/T, other variables as defined on the binary sheet. To reproduce original NRTL, set aij = 0 and set bij = Dgij/R.T(K)298.15NameHAcEtOHEtAcH2OPropAcidx2.00E- 012.00E-012.00E-012.00E-012.00E- 01gamma0.90684328140.92859523071.78279063452.482165507 30.8235660247Intermediate CalculationsaijHAcEtOHEtAcH2OPropAcidHAc000-1.9763- 3.0776tau0-0.8468291129- 0.78912929730.06927638771.1078549723EtOH00-1.2101- 0.985200.75624886800.62710241490.02850618820.9432557438 EtAc0-0.39810-
- 13. 3.719801.73007278220.673146687900.59392899552.190870229 8H2O3.32933.75559.4632000.90136741571.4880795743.74231 1185602.7046259668PropAcid2.44520000-0.7980030857- 1.2875093074-1.061845571- 0.43400652360bijHAcEtOHEtAcH2OPropAcidHAc0-252.4821- 235.2789609.88861247.8934Gij11.28923463211.26711009170.9 7943156010.7172315902EtOH225.47560547.7619302.2365281. 23170.797020674310.82850639410.99148460670.7535373276Et Ac515.8212319.392201286.1383653.2079590.59510237190.817 140681310.88799799040.5182688951H2O-723.8881-676.0314- 1705.6830806.3842320.76306640140.63991247350.4730934993 10.4442411248PropAcid-966.961-383.8709-316.589257- 129.39904501.27048780571.47145659661.37513742461.139058 4011aijHAcEtOHEtAcH2OPropAcidterm10.26125328- 0.2967958518- 0.03401516510.0258327810.7684665942HAc00.30.30.30.3term 20.88513545071.04354887670.98876948190.99959451160.6866 557875EtOH0.300.30.30.3inv term21.12977058960.9582684841.01135807511.00040565291.4 563337529EtAc0.30.300.20.3sq inv t21.27638158520.91827848731.02284515611.00081147032.120 9079997H2O0.30.30.200.3part10.2951562722-0.284410111- 0.03440151190.02584326011.119143839PropAcid0.30.30.30.30 x10.20.20.20.20.20.20.20.20.20.20.20.20.20.20.20.20.20.20.20. 20.20.20.20.20.2part2- 0.16648123470.45396594650.77430190681.0459856115- 0.9864404817part30.22646066910.2436381750.16172048610.16 269750410.3268149142lngamma-0.0977856316- 0.07408233950.57817990880.9091313676-0.1941115569 UNIQUACUNIQUAC CalculationNote: This spreadsheet uses the form of equations that permits the q of the residual part to differ from q of the combinatorial part. (Anderson, T.F., Prausnitz, J.,M., Ind. Eng. Chem. Process Des. Dev. 17, 1978, 552-561). The formulas look a little different because or the use of the intermediate variable 'l', however the equationsare consistent with the method described in the text if the user sets
- 16. 0.35856752274662710.64143247725337290.3585675227466271 0.574039926240680.425960073759320050.10541246257353237 0.97102955324483661.11116883140552282.6406617621959345 0.8000000.1999999999999998490363.151.09446507772577380. 232638871995609430.7045935699867070.29540643001329310. 7045935699867070.29540643001329310.64245496758563470.3 57545032414365360.068444960048728021.0984049820582937 1.07084168425482632.99937814463014350.8500000.14999999 9999999890363.151.09446507772577380.232638871995609430 .77163663582704050.228363364172959580.7716366358270405 0.228363364172959580.71795537257353880.282044627426461 20.0391961272230116061.23637453034604381.0399744309468 4043.44310792593390320.9000000.0999999999999997690363. 151.09446507772577380.232638871995609430.8429309092336 9960.157069090766300460.84293090923369960.157069090766 300460.80170193707311650.198298062926883460.0178022375 07416441.38629033997215421.0179616418505933.9999839154 4139360.9500000.0499999999999997190363.151.09446507772 577380.232638871995609430.91889398429922760.0811060157 00772420.91889398429922760.081106015700772420.89512366 840155610.104876331598443960.0045668971238967681.54987 641177174181.00457734129166084.7108879363185171.000000 0.090363.151.09446507772577380.232638871995609431.00.01. 00.01.00.00.01.72934989726969681.05.636988095628319 UNIQUAC5UNIQUAC5This spreadsheet is constructed to calculate activity coefficients for up to 5 componentsusing the UNIQUAC activity coefficient expression. Antoine coeffients are optional.Enter T, component names, aij's, r, q, and composition values.12345Antoine A8.071317.2806621082Antoine B1730.631434.2010693622Table for LLE as described in text.Antoine C233.426246.4990457476Can be used for binary or ternary.Psat (mmHg)23.686413553199.571488315111Follow text instructions to create macroy0.22830.77170.00000.00000.0000Scroll right for LLE iteration table.123Unhide columns G-R for LLE iterations.Pcalc
- 17. (mm Hg)98.4928864843Ki,old0.53096394035.06253426412.6115685 14T (K) =298.15Phase aPhase bKi,new0.53096394035.06253426412.6115685141234512345xai ,old0.89108725960.09891274040.01NameWaterMEKAceticNam eWaterMEKAcetic00xai,new0.89108726510.09891273490.01x8. 91E-019.89E-021.00E-021.00E-111.00E-11x4.73E-015.01E- 012.61E-021.00E-111.00E- 11xbi,old0.4731449730.50073914230.0261158847g1.065207740 17.71752720920.08403548774.26924344361.1873164506g2.006 17717941.52443950130.0321781671.01855920220.6973857453 xbi,new0.47313520550.50074910940.0261156851xg0.94919304 610.76336176540.000840354900xg0.94921264740.7633465283 0.000840361300r0.923.24792.20243.191.43To avoid having the screen jump to follow the q1.42.8762.0722.41.43cursor during macro execution, just hide ALLF0.70485107350.27621304610.018935880400F0.20540829 110.76745002090.02714168800of the columns that contain the activity coefficientq0.80344557680.18321005710.01334436600q0.30714 569960.66776337570.025090924700calculations before executing the macro.Sixiri1.1630829684Sixiqi1.5527152049Sixiri2.11916165 99Sixiqi2.1566408486aij matrix (i = row, j=column), enter 0's for unused cells1234511-2.0882254.1500Note: to minimize the possibility of errors, all of the pure component 2345.531- 254.1300and binary parameters are taken from the tables on the left. Week 6 Discussion 1 Course Reflection In this final discussion, reflect upon your overall learning experience and relate it to your earned specialization and/or advanced degree as well as your current or future practice serving at-risk children and families. Your reflection must include the learning you have gained about the topics of this course and learning from the creation of your website. Review
- 18. the Week Six Instructor Guidance to further support your response to this discussion. You may respond to this discussion in written form, or through a video and/or audio recording of yourself using the digital technology of your choosing. Initial Post: Create an initial post that addresses the following: · What new insights have you obtained about at-risk children and families overall? · What specific concepts have you learned that have left a more lasting impression or impact on you? How and/or why have these concepts impacted you more significantly than others? · What affirmations have you gained about your current or future role working with at-risk children and families from reflecting on your learning? Be sure to indicate what your professional focus is (e.g., education, early childhood education, family and community service, etc.). · How has the construction and review of others’ websites added value to your learning experience? Include challenges you may have experienced during the process and how you overcame them. Guided Response: Respond to a minimum of two peers. Make an effort to respond to someone in a similar professional field and one with a different professional focus. What similarities and differences did you discover between your peers’ and your own overall learning and lasting impressions? Provide specific feedback regarding the potential application of their learning to their professional practice. How does the value they gleaned from the website construction and sharing opportunities support and differ from your own reflection on this process? As mentioned in prior discussions, though two replies is the basic expectation, for deeper engagement and learning you are encouraged to provide responses to any comments or questions others have given to you to further the conversation while also giving you opportunities to demonstrate your content expertise, critical thinking, and real world experiences with the course topics. Required Resources
- 19. Text Rubin, A. (2012). Clinician’s guide to evidence-based practice: Programs and interventions for maltreated children and families at risk. Retrieved from https://redshelf.com · Use any of the chapters within the text to support enhancements made to any of the work included in your website as well as to inform your work on the specific group at risk you will select as a focus. Week Six Instructor Guidance Congratulations! And, welcome to the final week of EDU644: Child and Family Welfare! Please be sure to review the Week Six homepage for this course to see the specific learning outcomes for the week, the schedule overview, the required and recommended resources for the week, an introduction to the week, and a listing of the assessments for the week. Next, be sure to read this entire Instructor Guidance page. Overview Now is the time to reflect upon all you have learned and experienced in this course. You have formed a foundational concept of Child and Family Welfare including programming, policies, resources, and strategies to best assist families and children at risk. The past five weeks have addressed the implementation of your website as a tool to provide support for families and children at risk in your specialization. In Week Six you will prepare your final website project consisting of the requirements in the guidance. Also, you have the opportunity to reflect deeply on your learning from Weeks One through Five in the discussion thread. Intellectual Elaboration Reflecting on the EDU644 Experience
- 20. Over the last five weeks, we have focused on what it means to be at-risk and the impact being an individual or group at risk has on one’s ability to thrive. The ideas of team-based approaches, the usage of different resources (local, state, and federal), and the variety of populations at risk presented a complex, yet targeted mosaic of opportunities to support families and children at risk in order to improve their quality of living and student academic success. As you reflect on the numerous models, approaches, and strategies, think of how they can be best applied to the populations at risk in a way that builds long-term solutions. Why Reflect? Through reflective practice, a practitioner of any type can reframe a troubling situation so problem-solving actions may occur. Reflection is part of the learning process, whether a novice or an expert. It allows one to utilize a repertoire of understanding, images, and actions so as to respond most effectively (Merickel, 1998). Progressing into the Week 6 discussion and final project requires you to contemplate your learning experiences, course assessments, and concepts examined during the course and determine their impact on you. You will also relate your learning to that of your current or anticipated role working with children and families at risk. As both a learner and a professional, taking time to reflect upon your own practice as well as the behaviors and progress of your students or clients, is the first step in creating a road map toward finding solutions or applying improvements. Take time during Week Six to reflect on all you have learned and accomplished!
- 21. Assessment Guidance This section includes additional specific assistance for excelling in the discussions for Week Six beyond what is given with the instructions for the assessments. If you have questions about what is expected on any assessment for Week Six, contact your instructor using the Ask Your Instructor discussion before the due date. Discussion: Course Reflection This discussion is an opportunity for you to further demonstrate mastery with the five course learning outcomes, which are noted on the course Syllabus.The course reflection allows you to connect your ideas about families and children at risk by selecting the most relevant experiences and resources that can guide successful interventions. Select two or more aspects of the course that is relevant for you as well as for improving the lives of families and children. Consider your current or anticipated professional position. How do you anticipate your learning in this course will contribute to the work you do? This final discussion is the final opportunity for you to make your learning authentic! It also provides the chance to communicate with one another and gain additional insight to others’ learning, bringing up points you may not have considered in your own original response. Final Project: Creating a Web-Based Resource for a Population at Risk The final project is the culminating and comprehensive opportunity for you to demonstrate your mastery of the five course learning outcomes, which are noted on the course Syllabus. The activities and concepts in the course informed you about populations at risk as well as strategies and resources
- 22. to support these varied groups. Through your website research, you have gained models for the Final Project where you will demonstrate mastery of the five course learning outcomes by assuming the role of a professional working with individuals or families at risk. The assignment is to further refine and expand the website resource that describes this population and provides strategies and resources to support it. Specialization Pages Instructions: Create three additional pages in your website linked from the Homepage. Title the pages specifically for your selected group at risk as shown in Content Expectations for the assignment. The intention of the specialization pages is to present yourself as an “expert” in a particular group or sub-group, providing specific information and supports related to the group. You may select a specific group at risk from any of those studied during Weeks One through Five or another specific group at risk not specifically featured within the course. Many such groups are discussed in the Rubin text such as children with trauma related issues and PTSD, separation and attachment issues, and other groups such as homeless veterans, and Central American refugee children for which resources are recommended. It is recommend the required information be represented using a mix of both text and graphics such as charts, tables, and graphs. If a group previously covered during the course work is selected as your specialization, you must include information that expands upon what was already shared in the previously designed pages, showing more depth and different information than previously learned and shared. Also note in the Content Expectations the need to produce a text (written) version of your website. This is purely for accountability purposes during the evaluation process and to verify originality through Turn It In (TII) which cannot occur by reviewing the website alone.
- 23. Reference Merickel, M. (1998). Reflective Practice: The reflective practitioner. Retrieved from http://oregonstate.edu/instruct/pte/module2/rp.htm