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Understanding Understanding

Understanding - PDF document

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Understanding - PPT Presentation

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H84#:4;-*1 ,76* 141 9!&77 1 B(- 1*-:4;-*.1 C1#3 0.1#2 ' D3+@2.1#2 ' ?92#%⤀E9 ' F.E.=9 ' $1 H! 42�:/19K21 !2M! ?G:91 !M9D'2.! E/'? ! D2:&G'9K219I ! /1'8II/081D8! ;/.8D'IN ! 8�:8% !9! ?G:91 ! 9F!9!�I9DO!�2P! /1'2 !9! '9.08' !FNF'8:!L! 1 ! ! ?):.& ' 4.-.09$9/#1 ' 4+:09 ' @985 ' .)8+&+:+)1 '' 4+:-⤀8./+&1''A+3' 2#.$9&= ' @985 ' 4+:-$#; ' -3+0$#:1 G' ' ! 'H-/:91./+&'I'7&8#3.4/+&'I'J91).$91./+&'' D+:09&./+& '+A'' #;-#38'9&8#3.4/+&'' .&2' .)8+&+:+)1 '' 4+:-⤀8./+&1' K*'&07&1 #0-5(&37 E1 3,⠀;+-5L&9;'&1 -#;3674;-*7.1 1 F&:&0-&*&-,7 184:41 4*81 @*-=(&8 1 ,*9&0:46*;&7 1 Partial, specific Global, generic Understanding Models Data Experts ? 2 2 2 CO O r r + = ! T rh ! T ! T rh m T s m T s T s = = ! ! T rh T f dt d m T rh m T g dt d T s s s , , , , , , , = = ! ! T rh T f dt d m T rh m T g dt d T s s s , , , , , , , Mod le : LAB Kl Pc Gc Pc Gc Prot . Lip . lo , la Lip . lo , la couverture odeur couleur phase LAB Kl Pc Gc Prot . Lip . lo , la couverture odeur couleur phase LAB Kl Pc Gc Pc Gc Prot . Lip . lo , la Lip . lo , la couverture odeur couleur phase Selection Crossover Mutation PARENTS Elitism OFFSPRING Extraction of the solutionInitialisation B'-⠀,;-*40⤀ 1 C-3#,:4;-*1 67 1 H1 9-*'&*6&*: 11 /043&=-0@ 1 M67,4(674;-*1 K*:&049;-*1 N#;3674;-*1 " ! !K49#&8'"91).$91./+&'A+3' 4+:-$#;:)$/29:#&19+&.$ ' 2.8.L' " ! C1#3'A./=)#G' 1 M.3@9&91: L' !"+$)/+&&91: ' !"+$)/+&.3% ' .$=+3985:1 ' Selection Crossover Mutation PARENTS Elitism OFFSPRING Extraction of the solutionInitialisation ! M4064;-*7 E 1 3490-79-#69 14*811 3690-79-#69 E1 6*768& 1 7#&96&7 E1 ! �:0,⠀&1/-01⠀6/&E 1 ! O4:,04(1 7&(&9;-* 1$1 &D#4*76-*1-/1:!&1 ⠀6*&4& 1 :!4: 1!47141 ,7&/,( 1'4064;-*16*1 !67 1 &*'60-*3&*: .1 P⠀-54(1-#;3674;-*1:&9!*6Q,&$ 1 R63697 1:!&19-⠀⠀&9;'&1 ⠀&40*6* 1 456⠀6:) 1S484#:4;-*T1-/11 *4:,04( 1#-#,⠀4;-*7.11 !"#$%&'"⠀⤀*⤀ +%,-.⤀ #&/.⠀-0⤀ 1$-&'"⠀⤀"2⤀-3.⤀ -4" )53,%6/.⠩ 7/"00"8./ 9.%.5'"( )"2) -4" ⤀#&/.⠀-0⤀ !"#$%&'"⠀⤀*:;⤀ 7&9/.$'N+-)$./+&' !"+$"#2'N+-)$./+&' H&#' 9&29"92).$ 'O'+&#'1+$⤀/+&' ! 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" + = ag1 For students Measurement of level and evolution For the pedagogical team Automatic rating of items Feed-back Detection of semantic and pedagogical errors Man-Hill approach Allow proposing items adapted to level of students. au1 1 . Sub pools - Different classes. + 95% of the students stay in their classes. + Elo rating not updated if Class item ! Class student (5%) - Two particular sub pools + Items' Sub pool / Students' Sub pool 2 . Turnover - Students entering/leaving the system - Periodicity : school year av1 ! Reset the rating of items each year. % ! Stop evolution before deflation ( Freeze ) ! Use a different rating scheme for items ( PERI ) ]h1 ^#@'3./&='1%18#:')19&='85#'183)48)3#'+A' N.3.145++$ ' - Sedentary group = items ! needs a more stable rating - Nomad group = students ! dynamic Elo rating N 3+0.09$98%'0.1#2' ! $+ ' b ./&='A+3' 7 8#:1P'N!b7' ! Elo rating ! Too adaptive ! Deflation ! Freezing method ! Too static Item success rate ! 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