Post on 02-Jul-2015
description
App-Taxonomien und Qualitätssicherung von mobilen
Lern-ApplikationenDr. Marco Kalz
Associate Professor, Welten Institute – Research Centre for Learning, Teaching and Technology
Open University of the Netherlands
marco.kalz@ou.nl
Source: Apple; ID 263795
Note: Worldwide; July 2008 to September 2014
Further information regarding this statistic can be found on page 8.
App Statistik Apple Store
Quelle: Statista.com
App overload
App overload
Scheibehenne et al. (2010):
“there is no clear evidence that and when an increase in choices has a negative impact on variables like satisfaction, preference strength or motivation”
Pagina 6
Bloom Taxonomie & mobile Apps
by Kathy Schrock
Bloom Taxonomie & mobile Apps
by Allan Carrington
SAMR & mobile Apps
by Kathy Schrock
Taxonomien
‘animals are divided into:
(a) belonging to the Emperor, (b) embalmed, (c) tame, (d) suckling pigs, (e) sirens, (f) fabulous, (g) stray dogs, (h) included in the present classification, (i) frenzied, (j) innumerable, (k) drawn with a very fine camelhair brush, (l) et cetera, (m) having just broken the water pitcher, (n) that from a long way off look like flies’. Michel Foucault, The Order of
Things (New York: Pantheon, 1970) xv.
Technologischer Determinismus
10
• Taxonomien gaukeln 1-1-Beziehungen vor, obwohl es n-n-Beziehungen sind
• Naive Nutzung der Bloom-Taxonomie
• Taxonomien führen zu “didaktischer Faulheit”
• Bloom Dimensionen nicht exklusiv
• Alternativen: “Klassische” Qualitätssicherung
App Rubric
Cherner, Dix, & Lee (2014)
MASS Rubric
12
Green, Hechter, Tysinger, & Chassereau (2014)
CPR App Study: Background
13
Kalz et al., 2014
14
• Expert study (part 1): Independent rating by two board-certified emergency physicians
• 8 test sessions lasting 2 – 4 hours
• Quality rating on ordinal scale (1 – 10)
CPR App Study: Method
15
CPR App Study: Method
• Laymen study in laboratory (part 2): 14 volunteers (5 female)
• Following System Usability Scale (SUS) approach
• Per app 5 ratings
• Each volunteer received 4 – 5 apps
CPR App Study: Results
• 46 apps out of the original list of 61 have been included
• Of these 13 apps have been selected for the following step
• Substantial interrater reliability (k= 0.61)
CPR App Study: Results
Qualitätssiegel für Apps?
• Umkehr des Prozesses
– Der Anbieter sucht Qualität, um sich von kokurrierenden Apps abzuheben
– Vgl. zu frühen Lernsoftwarezeiten
• Graphite: https://www.graphite.org/reviews
• Appedreview http://appedreview.org
• Appitic http://www.appitic.com
• Teach with your iPad http://teachwithyouripad.wikispaces.com/iPad+Apps
Onderwerp via >Beeld >Koptekst en voettekstPagina 19
Plattformen für Rezensionen
ReferenzenCherner, T., Dix, J., & Lee, C. (2014). Cleaning up that mess: A framework for classifying educational apps. Contemporary Issues in Technology and Teacher Education, 14(2).
Green, L. S., Hechter, R. P., Tysinger, P. D., & Chassereau, K. D. (2014). Mobile app selection for 5th through 12th grade science: The development of the MASS rubric. Computers & Education, 75, 65-71.
Kalz, M., Lenssen, N., Felzen, M., Rossaint, R., Tabuenca, B., Specht, M., & Skorning, M. (2014). Smartphone Apps for Cardiopulmonary Resuscitation Training and Real Incident Support: A Mixed-Methods Evaluation Study. Journal of Medical Internet Research, 16(3), e89. doi:10.2196/jmir.2951
Scheibehenne, B., Greifeneder, R., & Todd, P. (2010). Can There Ever Be Too Many Options? A Meta Analytic Review of Choice Overload. ‐ Journal of Consumer Research, 37(1), 409–425.
Schwartz, B. (2004). The paradox of choice. Why more is less. (p. 282). New York, NY, USA: HarperCollins Publishers.
Van Velsen, L., Beaujean, D., & van Gemert-Pijnen, J. (2013). Why mobile health app overload drives us crazy, and how to restore the sanity. BMC Medical Informatics and Decision Making, (1), 13–23.
Fragen?
marco.kalz@ou.nl
http://www.linkedin.com/in/mkalz
http://www.twitter.com/mkalz