This presentation takes a wide definition of visual to include video and presentation technologies. It discusses the availability of video resources about stats (conceptual and SPSS tutorials) and about some of the other visual technologies that are used and could be used here. This includes drawing/annotation and recording systems that can be used to create video materials (a bit like the Kahn University videos) - including some interesting apps on the iPad (e.g. Explain Everything). It comments on the pros and cons of identifying good videos and of using them in sessions and as additional course resources

Gibbs, Graham R.

English

University of Huddersfield Repository

University of Huddersfield RepositoryGibbs, Graham R.Video and visual resources & technologies in teaching statisticsOriginal CitationGibbs, Graham R. (2013) Video and visual resources & technologies in teaching statistics. In: Visualization and Quantitative Teaching Workshop, 29th May 2013, Loughborough University, UK. This version is available at http://eprints.hud.ac.uk/22849/The University Repository is a digital collection of the research output of theUniversity, available on Open Access. Copyright and Moral Rights for the itemson this site are retained by the individual author and/or other copyright owners.Users may access full items free of charge; copies of full text items generallycan be reproduced, displayed or performed and given to third parties in anyformat or medium for personal research or study, educational or not-for-profitpurposes without prior permission or charge, provided:• The authors, title and full bibliographic details is credited in any copy;• A hyperlink and/or URL is included for the original metadata page; and• The content is not changed in any way.For more information, including our policy and submission procedure, pleasecontact the Repository Team at: E.mailbox@hud.ac.uk.http://eprints.hud.ac.uk/Vid e o  a nd  visua l re so urc e s & te c hno lo g ie s in te a c hing  sta tistic s G ra ha m R G ib b s Unive rsity o f Hud d e rsfie ld   "Visua liza tio n a nd  Qua ntita tive  Te a c hing  Wo rksho p ", 29th Ma y 2013, Lo ug hb o ro ug h Unive rsity Outline   Vid e o  re so urc e s – le ve ls, to p ic s e tc .  Use  o f re so urc e s in te a c hing  – stud e nt vie ws  Se le c ting  vid e o s – q ua lity, a c c ura c y e tc .  Ma ke  yo ur o wn   Te c hno lo g ie s – Ca mta sia , Exp la in Eve rything , e tc .  "Visua liza tio n a nd  Qua ntita tive  Te a c hing  Wo rksho p ", 29th Ma y 2013, Lo ug hb o ro ug h Unive rsity Vid e o   Esp e c ia lly o n YouTube   Co ve r   Sta tistic s  Q ua nts me tho d s (e .g . surve ys)  So ftwa re  – SPSS, R, SAS, Minita b  e tc . "Visua liza tio n a nd  Qua ntita tive  Te a c hing  Wo rksho p ", 29th Ma y 2013, Lo ug hb o ro ug h Unive rsity Vid e o s - le ve l  Sc ho o l, A-le ve l a nd  e q uiva le nt. Esp e c ia lly fo r d e sc rip tive  sta ts  http :/ / yo utu.b e / 81zc jULlh58? t=30s  Unive rsity le ve l – o fte n d o ne  b y le c ture rs  http :/ / yo utu.b e / mnb b RtFxWHA? t=6m7s  So me  ta ke  sta tistic a l/ ma the ma tic a l a p p ro a c h  http :/ / yo utu.b e / MIq yiG vrUXE? t=2m5s  So me  use  so c ia l sc ie nc e  d a ta  (so me  use  b io lo g ic a l e tc .)  Lo ts d e mo nstra te  ho w to  use  SPSS e tc . to  d o  sta ts.  E.g . And y Fie ld   http :/ / yo utu.b e / Ekb kI7x6b NA? t=3m37s "Visua liza tio n a nd  Qua ntita tive  Te a c hing  Wo rksho p ", 29th Ma y 2013, Lo ug hb o ro ug h Unive rsity Exc e lle nt ma ths sup p o rt  Ma ths Tuto r  http :/ / www.ma thtuto r.a c .uk/ a rithme tic / fra c tio nsmultip lying a nd d ivid ing / vid e o   to  re vise  ma ths skills  b a sic  a rithme tic  like  c a lc ula ting  p e rc e nta g e s a nd  d e a ling  with d e c ima l numb e rs  intro d uc tio n to  a lg e b ra  suc h a s e q ua tio ns a nd  sq ua re s  func tio ns, g ra p hs a nd  se rie s "Visua liza tio n a nd  Qua ntita tive  Te a c hing  Wo rksho p ", 29th Ma y 2013, Lo ug hb o ro ug h Unive rsity Typ ic a l to p ic s  Ba sic  c o nc e p ts  P-va lue , sc a le s, le ve ls o f me a sure me nt, me a n, me d ia n, mo d e , IV a nd  DV, va ria b le s  http :/ / yo utu.b e / G MIp nzLQ tTQ ? t=1m12s  SPSS use   G e tting  sta rte d     Inte rfa c e , d a ta  e ntry, d a ta  mo d ific a tio n/ re c o d ing , c ha rts  Exp lo ra to ry a na lysis, c ro ssta b s, c hi-sq ua re   Re g re ssio n, c o rre la tio n  ANOVA, t-te st, no n-p a ra me tric  e q uiva le nts "Visua liza tio n a nd  Qua ntita tive  Te a c hing  Wo rksho p ", 29th Ma y 2013, Lo ug hb o ro ug h Unive rsity Pe d a g o g ic  use  o f vid e o   In c la ss le c ture   Ca n sho w o nly p a rts  Ca n p a use  a nd  e xp la in, e xc use , e tc .  Use  in g uid e d  ind e p e nd e nt stud y  Pro b a b ly b e st if linke d  with la b  instruc tio ns, use d  whe n ne e d e d , i.e . whe n d o ing  a sse ssme nt  Liste n o n mo b ile  d e vic e  while  d o ing  c ho re s? ?   Use  in la b s  Ne e d s he a d p ho ne s to  sto p  no ise  fo r o the rs "Visua liza tio n a nd  Qua ntita tive  Te a c hing  Wo rksho p ", 29th Ma y 2013, Lo ug hb o ro ug h Unive rsity Stud e nt vie ws o f vid e o s  Find  use  in le c ture s g o o d . Ca n fo llo w a nd  the n p ra c tic e  in fo llo wing  la b .  Use  le ss fre q ue ntly o utsid e  se ssio ns  Like  a b ility to  p a use  a nd  re p la y  So me  use d  Ma ths Tuto r site   So me  p re fe rre d  to  use  te xtb o o k a nd  re a d ing  ma te ria l  Pre fe r ha nd writing  wo rke d  e xa mp le s o n sc re e n to  p re p a re d  Po we rPo ints "Visua liza tio n a nd  Qua ntita tive  Te a c hing  Wo rksho p ", 29th Ma y 2013, Lo ug hb o ro ug h Unive rsity No n vid e o  visua l re so urc e s  Re usa b le  le a rning  o b je c ts a nd  o the r mo d e ls  Stud e nts d ire c tly ma nip ula te  a nd  se e  re sults "Visua liza tio n a nd  Qua ntita tive  Te a c hing  Wo rksho p ", 29th Ma y 2013, Lo ug hb o ro ug h Unive rsity A le a rning  o b je c t o n c re a ting  a nd  a na lysing  ta b le s o f d a ta   http :/ / www.uc e l.a c .uk/ rlo s/ c ro ss_ta b _d a ta / ma in.html  Ho w to  c o nve rt surve y o r e xp e rime nta l d a ta  into  c ro ss-ta b ula r d a ta  a nd  the  ste p s invo lve d  in this p ro c e ss.   Use s e a rly d e a ths o f b a nd  me mb e rs  De ve lo p e d  a t the  Unive rsity o f Ca mb rid g e . "Visua liza tio n a nd  Qua ntita tive  Te a c hing  Wo rksho p ", 29th Ma y 2013, Lo ug hb o ro ug h Unive rsity Co rre la tio n Exp lo re r  So ftwa re  tha t a llo ws yo u to  ma nip ula te  p o ints o n a  sc a tte rg ra m to  se e  the  e ffe c t o n b o th the  c o rre la tio n sta tistic s a nd  the  re g re ssio n line . Use  the  b utto ns fo r c a nne d  sc a tte rg ra ms to  q uic kly c ha ng e  the  d isp la y.  http :/ / hhs.hud .a c .uk/ w2/ ltsu/ Co rre la tio n.htm "Visua liza tio n a nd  Qua ntita tive  Te a c hing  Wo rksho p ", 29th Ma y 2013, Lo ug hb o ro ug h Unive rsity A visua l to o l fo r e xp lo ring  ANOVA  Und e rsta nd ing  ANOVA Visua lly (1998, 2000) b y To m Ma llo y (Unive rsity Uta h, USA)  http :/ / www.p syc h.uta h.ed u/ sta t/ intro sta ts/ a no va fla sh.html "Visua liza tio n a nd  Qua ntita tive  Te a c hing  Wo rksho p ", 29th Ma y 2013, Lo ug hb o ro ug h Unive rsity Se le c ting  vid e o s  Are  d a ta  se ts use d  suita b le ?   Stud e nts like  to  ha ve  d a ta  the y c a n re la te  to  o r re le va nt to  the ir d isc ip line .  Sta tistic a l e xp la na tio ns  De p e nd s o n p e d a g o g ic  a p p ro a c h  Pro d uc tio n q ua lity  G o o d  so und  ne e d e d   Is the  sp e a ke r to o  c ha tty/ a ma te urish e tc . "Visua liza tio n a nd  Qua ntita tive  Te a c hing  Wo rksho p ", 29th Ma y 2013, Lo ug hb o ro ug h Unive rsity Se le c ting  vid e o s 2  Ac c ura c y  So me  vid e o s g e t it ve ry wro ng   http :/ / yo utu.b e / wHg I6To lySw? t=5m10s  De b a te s in sta tistic s  Sho uld  vid e o  inc lud e  this o r no t?   Exp la ining  d isc re tio n ma ke s it ha rd  fo r stud e nts   "Visua liza tio n a nd  Qua ntita tive  Te a c hing  Wo rksho p ", 29th Ma y 2013, Lo ug hb o ro ug h Unive rsity Pro d uc ing  vid e o s Ra ng e  of te c hnolog ie s:  Ca me ra , mic  a nd  d ig ita l e d iting  suite   Ca mta sia  sc re e n re c o rd ing   Fla sh/ HTML 5  Sc re e n writing  (with stylus a nd  ta b le t) (Ka hn Unive rsity style ) http :/ / yo utu.b e / J1twb rHe l3o ? t=35s  iPa d  so lutio ns (inc lud e  re c o rd ing  a nd  sc re e n writing ) "Visua liza tio n a nd  Qua ntita tive  Te a c hing  Wo rksho p ", 29th Ma y 2013, Lo ug hb o ro ug h Unive rsity “ Exp la in Eve rything ”  o n iPa d  "Visua liza tio n a nd  Qua ntita tive  Te a c hing  Wo rksho p ", 29th Ma y 2013, Lo ug hb o ro ug h Unive rsity Ma king  it a c c e ssib le   Sho rt vid e o s g o o d   Use  sc re e n writing  – stud e nts like  this  Use  g ra p hic s, visua l d e vic e s e tc .  So und  q ua lity – mo re  imp t. tha n p ic ture   Visua l q ua lity – d e p e nd s. Ne e d s g o o d  q ua lity fo r te xt. HD c a n lo o k mo re  p ro fe ssio na l  Visua l a e sthe tic s (c o mp o sitio n, lig hting  e tc .)  Lic e nsing  – find  fre e  to  use  music  e tc .  Co p yrig ht – No t a t a ll c le a r, b ut no w use  the  CC lic e nc e . "Visua liza tio n a nd  Qua ntita tive  Te a c hing  Wo rksho p ", 29th Ma y 2013, Lo ug hb o ro ug h Unive rsity To wa rd s a  p e d a g o g y o f the  visua l  Ma ke s the  a bstra c t c onc re te   As a  me ta p ho r (g ra p hs)  As symb o ls (e q ua tio ns)  De mo nstra te s proc e ss  Tra nsfo rma tio n, c a lc ula tio n, d e c isio n ma king   Cha ng e  sho wn b y visua l c ha ng e s  Time :  So  c ha ng e s c a n b e  se e n, ma nip ula te d , re p e a te d , p a use d   Pro vid e s sp a c e / time  fo r a b so rp tio n.  "Visua liza tio n a nd  Qua ntita tive  Te a c hing  Wo rksho p ", 29th Ma y 2013, Lo ug hb o ro ug h Unive rsity Site s use d  mo st o fte n to  se a rc h fo r re so urc e s "Visua liza tio n a nd  Qua ntita tive  Te a c hing  Wo rksho p ", 29th Ma y 2013, Lo ug hb o ro ug h Unive rsity 01020304050607080902011 stud y. N=99 Where third party resources have come from Re sourc e  %  YouTube :  50 Yo ur Lib ra rie s' d ig ita l re so urc e s (suc h a s e -Bo o ks):  44 O the r c o urse s o n yo ur Institutio n's VLE (suc h a s Bla c kb o a rd ):  32 Pro fe ssio na l b o d y we b site :  24 HEA we bsite :  19 Disc ip line  sp e c ific  we b site  (suc h a s O nline Q DA.hud .a c .uk):  16 Co rp o ra te  we b site :  14 Ano the r Institutio n's we b site  /  VLE:  11 Na tio na l e d uc a tio na l re p o sito ry (suc h a s JO RUM):  8 O p e n a c c e ss re p o sito ry (suc h a s O p e nLe a rn):  8 iTune sU:  8 Bo x o f Bro a d c a sts:  8 Flic kr:  4 O the r (inc l. o wn d e ve lo p e d  re so urc e s):  3 BUFVC :  1 MO O C /  o p e nc o urse wa re  (suc h a s e d Sha re ):  0 Lo ts o f use  o f a va ila b le  d ig ita l re so urc e s 2013 surve y. N=115 Co nc lusio ns  Vid e o  – the re ’ s a  lo t o ut the re   Ne e d  c a re  in se le c ting / re c o mme nd ing  vid e o s  Ma ke  yo ur o wn – te c hno lo g y is g e tting  b e tte r a nd  e a sie r to  use   G o o g le  a nd  Yo uTub e  to  find  "Visua liza tio n a nd  Qua ntita tive  Te a c hing  Wo rksho p ", 29th Ma y 2013, Lo ug hb o ro ug h Unive rsity 

Video and visual resources & technologies in teaching statistics

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