Le arning Ob je cts Te chnical Evaluatio n To o l
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1 Le arning Ob je cts Te chnical Evaluatio n To o l Dr Euge nijus Kurilo vas Ce ntre fo r Info rm atio n Te chno lo gie s in Educatio n Ministry o f Educatio n and Scie nce Vilnius, Lith uania
2 The Main Notions Digital Le arning Re source (LR): the te rm is use d in the b ro ad se nse, re fe rring to all kinds o f digital le arning co nte nt and ac tivitie s such as Le arning Ob je cts, Units o f Le arning e tc. Le arning Obje ct (LO) is any digital re so urce that can b e re use d to suppo rt le arning Le arning Asse ts (LAs) are sm all pe dago gic ally de c o nte xtualise d parts (pie c e s) LOs can b e co m b ine d o f Unit of Le arning (Uo L) itse lf and all its co m po ne nts are e m b e dde d LOs, including le arning o b je c tive s, pre re q uisite s, le arne rs o r traine rs ro le s, ac tivity assignm e nt, info rm atio n o b je c ts, co m m unicatio n o b je cts, to o ls and q ue stio nnaire o b je c ts
3 The Main Notions Le arning Obje ct Re pository (LOR) is any co lle ctio n o f re so urc e s that are acce ssib le via a ne tw o rk w itho ut prio r kno w le dge o f the struc ture o f the co lle c tio n Re usability is the e xte nt to w hic h LO can o pe rate e ffe c tive ly fo r a varie ty o f use rs in a varie ty o f digital e nviro nm e nts and a varie ty o f e ducatio nal co nte xts o ve r tim e. LO re usab ility is affe cte d b y te c hnical, pe dago gic and so c ial facto rs applying to b o th initial de ve lo pm e nt and sub se q ue nt re use Inte rope rability is the capab ility to co m m unic ate, e xe cute pro gram s, o r transfe r data am o ng vario us func tio nal units in a m anne r that re q uire s the use r to have little o r no kno w le dge o f the uniq ue charac te ristics o f tho se units
4 LT ICT in Education Strategy Ob je ctive s e m phasize d in the Strate gy: To cre ate digital le arning co nte nt and to de ve lo p m o de rn te aching and le arning se rvice s To fo rm digital te aching and le arning infrastructure, to im pro ve scho o ls pro visio n w ith hardw are and so ftw are, and incre ase acce ss to ICT To e ducate scho o ls co m m unitie s co m pe te ncie s, to e ffe ctive ly apply ICT fo r e ducatio n, to im pro ve te aching and le arning q uality, and to de ve lo p digital te aching and le arning culture To apply ICT in e ducatio nal pro ce ss o rganisatio n and scho o ls m anage m e nt
5 LT ICT in Education Strategy The fo llo w ing tasks are planne d to achie ve the 1 st o b je c tive : To cre ate co nve nie nt digital le arning re so urc e s (o b je cts) se arch syste m to inte grate curriculum w ith re so urc e s (o b je cts) and e - se rvice s To pre pare inte ractive te ac hing and le arning co nte nt w ith the he lp o f diffe re nt institutio ns, ac tive te ache rs and sc ie ntists To cre ate o pe n and safe te ac hing and le arning spac e fo r sto rage o f c urric ulum co m pliant le arning co nte nt fo r diffe re nt sub je cts w hic h w o uld pro vide po ssib ilitie s to co nsult, disc uss and e xc hange ide as To im ple m e nt inte rnatio nal digital le arning re so urc e s (o b je cts) m e tadata standards, and to stim ulate inte rnatio nal co o pe ratio n to c re ate le arning co nte nt and e -se rvic e s To pre pare and co nfirm le gal ac ts (to pro te ct autho rs, pub lishe rs and use rs rights) w hic h w o uld m o tivate pe dago gue s and pub lishe rs to c re ate and disse m inate digital le arning co nte nt and se rvic e s
6 L O R I Q u a l i t y C r i t e r i a The ne e d to e valuate LOs re q uire s the de ve lo pm e nt o f crite ria to b e use d in judging the m Vargo e t al. de ve lo pe d a LO Re vie w Instrum e nt o r LORI to e valuate LOs. The LORI appro ac h use s the fo llo w ing 1 0 crite ria w he n e xam ining LOs: Pre se ntatio n: Ae sthe tics Pre se ntatio n: De sign fo r le arning Accuracy o f co nte nt Suppo rt fo r le arning go als Mo tivatio n Inte rac tio n: Usab ility Inte rac tio n: Fe e db ack and adaptatio n Re usab ility (*te chnic al crite rio n) Me tadata and inte ro pe rab ility co m plianc e (*te c hnical crite rio n) Acce ssib ility (*te c hnical crite rio n)
7 P a u l s s o n & N a e v e Q u a l i t y C r i t e r i a 6 actio n are as fo r e stab lishing LOs te chnical q uality crite ria are sugge ste d b y Paulsso n & Nae ve : A narro w de finitio n A m apping taxo no m y Mo re e xte nsive standards Be st practise fo r use o f e xisting standards Archite cture m o de ls The se paratio n o f pe dago gy fro m the suppo rting te chno lo gy o f LOs
8 V a n A s s c h e & V u o r i k a r i Q u a l i t y C r i t e r i a Typical usage sce nario o f the le arning re so urce
9 M E L T P r o j e c t Q u a l i t y C r i t e r i a LRs (co nte nt) is m o re like ly to trave l w e ll if it is: Mo dular: the parts o f a co nte nt ite m are fully functio nal o n the ir o w n Adaptab le : the re so urce can b e m o difie d, fo r instance fro m a co nfiguratio n file, fro m a plain te xt file o r b e cause it is pro vide d alo ng w ith its so urce co de o r an autho ring to o l Have a stro ng visual e le m e nt and use rs can b ro adly unde rstand w hat is the inte nde d le arning o b je ctive o r to pic (e.g. re so urce s m ay have little o r no te xt; and include anim atio ns and sim ulatio ns that are se lf-e xplanato ry o r have just a fe w te xt lab e ls o r ico ns/b utto ns fo r start, sto p, e tc.) Have b e e n de signe d to b e language custo m isab le ( cho o se a language o ptio n ) and are alre ady o ffe re d in m o re than o ne language. Addre ss curriculum to pics that co uld b e co nside re d trans-natio nal (e.g. te aching ge o m e tric shape s o r the parts o f the ce ll are usually co ve re d in e ve ry natio nal curriculum b ut te aching the fo lklo re o f a ve ry spe cific re gio n is no t) Are adaptab le fro m a te chnical (e.g. re so urce s are supplie d alo ng w ith an autho ring e nviro nm e nt o r to o ls) o r IPRpe rspe ctive (e.g. the y are no t m ade availab le unde r a No de rivative s Cre ative Co m m o ns lice nse w hich w o uld pre ve nt use rs fro m e ve n translating the re so urce )
10 Q u a l i t y f o r R e u s e ( Q 4 R ) P r o j e c t C r i t e r i a Be fore LO Inclusion in the Repository The se strate gie s re fe r to the autho ring, de sign and de ve lo pm e nt o f a LO o r LR. De sign and Pro ductio n Strate gie s: Use a so lid and adapte d Instructio nal de sign m e tho d If the LO is co m pliant w ith SCORMo r IMSLD, use spe cialize d e dito rs Apply cultural dive rsity principle s to m ake the LO m o re fle xib le and w ide ly acce ssib le Suppo rt co llab o rative de sign b y inviting spe cialists to suppo rt the ir e xpe rtise Cle arly ide ntify kno w le dge and use r co m pe te ncie s Favo ur pe dago gical strate gie s putting the le arne r in the ce ntre Apply e valuatio n crite ria during de ve lo pm e nt Im ple m e nt at le ast o ne le arne r/pe e r e valuatio n cycle Apply acce ss-fo r-all pro ductio n principle s and apply the m at the start o f a LO de ve lo pm e nt Princ iple s: Only b uild o r inte grate o b je cts, w hich can b e ce rtifie d fo r q uality Inte ractive Ob je cts are so ftw are and as such sho uld answ e r to so ftw are q uality
11 Q u a l i t y f o r R e u s e ( Q 4 R ) P r o j e c t C r i t e r i a During LO Inclusion in the Re pository Strate gie s that m ay he lp incre ase q uality during inclusio n o f an LO in the Re po sito ry re fe r to tw o m ain aspe cts: Quality co ntro l thro ugh Me m b e rship o r Co ntrib utio n Co ntro l Strate gie s Quality co ntro l thro ugh te chnical Inte ro pe rab ility ve rificatio n Contrib ution Control The m o st co m m o n strate gie s fo r co ntro lling co ntrib utio ns are to : Use LO harve sting, w hich m e ans that the re po sito ry im po rts m e tadata re co rds fro m o the r high q uality re po sito rie s Ob ligato ry m e m b e rship, usually fre e, b ut yo u m ust pro vide so m e pe rso nal data such as nam e, o ccupatio n and e m ail addre ss Te chnical Interope rability He re it s re fe rre d to ho w w e ll a LRco nfo rm s to a te chnical standard. Auto m atic ve rificatio n o f co m patib ility w ith kno w n pro to co ls such as SCORM, Me tadata sche m a e tc. Auto m atic m e tadata ge ne ratio n o r sim plifie d m e tadata tagging to o ls Che cklists and Be st Practice s fo rm the issuing o rganizatio n o f a standard Principle : Re duce fo rm -filling and use guiding w izards, sm art auto m atic and se m i-auto m atic
12 Q u a l i t y f o r R e u s e ( Q 4 R ) P r o j e c t C r i t e r i a After LO Inclusion in the Repository This se ctio n intro duce s type s o f strate gie s that are b e ne ficial o nce the LO has b e e n sto re d in the LORand ho w e asily a use r can find, re trie ve and re use a LO. The se type s o f strate gie s re fe r to tw o type s o f q uality: Re trie val Quality, m e aning that the use r m ay fre e ly se arch m e tadata re co rds in m any w ays Info rm atio n Quality, w hich re fe rs to ho w use r s can o b tain info rm atio n o n ho w and in w hat situatio ns the LO can o r has b e e n use d as w e ll as te chniq ue s and to o ls that facilitate s this type o f fe e db ack Re trie val Quality To pro vide re trie val q uality the use r sho uld b e ab le to re trie ve LO re co rds b y: Ente ring fre e te xt ke yw o rds fo r se arch in all m e tadata fie lds o r in spe cific o ne s Bro w sing a kno w n Classificatio ns, The saurus, Co m pe te ncy pro file o r Organizatio nal Typo lo gy Bro w sing b y Onto lo gie s that links kno w n re latio nships w ithin a do m ain Using fe de rate d se arch, that is se arch fo r a LO in o ne o r m any linke d re po sito rie s
13 Q u a l i t y f o r R e u s e ( Q 4 R ) P r o j e c t C r i t e r i a After LO Inclusion in the Repository Inform ation Quality He re it s ne ce ssary to think ab o ut strate gie s that w ill o n the o ne hand pro vide info rm atio n to the use r ab o ut re usab ility o ptio ns and o n the o the r hand ho w use rs can o ffe r sugge stio ns to im pro ve the LO and ho w this info rm atio n can b e fe d b ack to the autho r o r de signe r o f the LO. Display Info rm atio n Strate gie s: De scriptive structure d re sum e s o f the w ays the LO can b e re use d Offe r sim plifie d o r full vie w o f the m e tadata re co rd Graphical indicatio ns o n ho w m any pe o ple have do w nlo ade d and rate d the LO. What do the y think, i.e., star syste m, e tc. Fe e db ack Te chniq ue s: Using the Anno tatio n Me tadata in LOMo r So cial tagging / b o o km arking and Fo lkso no m y Co llab o rative Filte ring Te chniq ue s Re co m m e ndatio ns b uilt o n Pe e r Trust Algo rithm s Princ iple s: Pro vide inte re sting and e asily unde rsto o d use r statistics, such as stars, pe rce ntage s, vo ting syste m s Include re co m m e ndatio ns fo r re use b y the use r, b o th to the ne xt use r and the
14 L i t h u a n i a n L e a r n i n g O b j e c t s E v a l u a t i o n T o o l A p p r o v e d b y t h e M i n i s t r y o f E d u c a t i o n a n d S c i e n c e Educ atio n so ftw are and co nte nt e valuatio n crite ria: Quality o f e duc atio nal m ate rial (*incl. IPR) Psyc ho lo gical and pe dago gic al aspe c ts Le arning m anage m e nt and inte ractivity Use r inte rfac e (*incl. pe rso nalizatio n (e.g., fo r spe c ial ne e ds stude nts)) Use rs m anage m e nt po ssib ilitie s To o ls (de sign po ssib ilitie s) (*suitab le fo r VLEs: inc l. LOs cre atio n, sto rage and se arch po ssib ilitie s, co m pliance w ith standards, e.g. SCORM) Co m m unicatio n and co llab o ratio n po ssib ilitie s and to o ls Te c hnical fe ature s (*incl. w o rking stab ility) Do cum e ntatio n and additio nal to o ls Ec o no m ic e ffic ie ncy (*inc l. co st, im ple m e ntatio n and m ainte nanc e e xpe nditure )
15 Po pular LOs e valuatio n to o ls have a num b e r o f lim itatio ns: LORI, Paulsso n & Nae ve and MELT do no t e xam ine diffe re nt LOs life cyc le stage s. Q4Rinsuffic ie ntly e xam ine s e valuatio n crite ria b e fo re LOs inc lusio n in the re po sito ry. The appro ve d Lithuanian se t o f co m pute r te ac hing aids e valuatio n to o l also has a num b e r o f lim itatio ns: All LOs and se rvice s (e.g., LAs, Uo Ls, LORs, VLEs) have to b e e valuate d against the sam e crite ria. No m e tadata-re late d crite ria are inc lude d. Appro ve d te c hnic al e valuatio n crite ria fo r e -c o nte nt, activitie s, se rvice s and to o ls do no t re fle c t the ir re usab ility aspe cts o ve rall.
16 Co m ple x to o l fo r LOs te chnical e valuatio n
17 LT LOMRe po sito ry De ve lo pm e nt Lithuanian education portal National LOM repository
18 A Conceptual Model of the Learning Process
19 THANKYOU FORYOURATTENTION! Euge nijus.kurilo itc.sm m.lt
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