Danish University Colleges Intro til Learning Analytics & datainformeret undervisning og læring. Ringtved, Ulla Lunde

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Danish University Colleges

Intro til Learning Analytics & datainformeret undervisning og læring.

Ringtved, Ulla Lunde

Publication date:

2016

Link to publication

Citation for pulished version (APA):

Ringtved, U. L. (2016). Intro til Learning Analytics & datainformeret undervisning og læring.. Paper præsenteret ved Learning Analytics LASI-Danmark 2016, Aalborg, Danmark.

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Intro til Learning Analytics &

datainformeret

undervisning og læring

Oplæg på

LASI-Danmark 2016

d. 7. september 2016 på Aalborg Universitet

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Om mig

• Ulla Lunde Ringtved

• Ph.D. Studerende ved e-Learning Lab, Aalborg Universitet http://www.ell.aau.dk/

– Afslutter 2016

– Underviser i Learning Analytics, Feedback & Assessment, Teknologimedieret, datainformeret undervisning

• Arbejder på University College Nordjylland(UCN) http://www.ucn.dk/

– Underviser i teknologimedieret læring og undervisning – Underviser på bygningskonstruktøruddannelsen – Arbejder med forsknings- og udviklingsprojekter

Forskning i og udvikling af data-informerede

opgavetyper - vurderingsmetoder - målemetoder –læringsudbytte

“Hvad skal vi måle og hvad skal vi “ikke-måle””

Læringsdesign – vurderingsdesign - feedbackdesign – datavisualisering

F2f-undervisning - Blended learning - MOOCs

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Indhold

• Intro

• Learning Analytics

– Modeller og eksempler fra forskningsfeltet Learning Analytics

• Data fra ny opgavetyper, ny kompetencer, nyt læringsudbytte

• Ny Målemetoder

– Hvad er det vi vil måle

– Hvordan viser vi det?

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Maslow`s behovspyramide

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Læring og Data

(Learning Analytics)

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Research field - Learning Analytics

” Learning Analytics er måling, indsamling, analyse og rapportering af data om lærende og deres sammenhænge med henblik på at forstå og optimere læring og de miljøer, hvor læring forekommer”

http://www.solaresearch.org

”Learning Analytics is about collecting traces that learners leave behind

And using those traces to improve learning”

Professor Eric Duval

http://erikduval.wordpress.com/2012/01/30/learning-analytics-and-educational-

data-mining/

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Learning Analytics – Den lærendes data

Hvilke data taler vi om:

• Demografi

• Køn, alder, etnicitet, socio-økonomisk status

• Tidligere uddannelsesmæssige erfaringer

• Karakterer, udmærkelser, besværligheder

• Opmærksomhed, lokation, øjenbevægelser

• adgangsdata, nærhedsdetektorer

• Online tracking

• VLE/LMS data: hvad man har kigget på, posts, interaktioner, quiz resultater

• Sensorer af forskellig art

• Øvrig online aktivitet

• cross-tracking cookies

• …. Og så videre.

Brug af den lærendes data:

• At kunne identificere lærende der har brug for hjælp

• At kunne udløse interventioner

• via en lærer eller indirekte

• At lære hvilke interventioner der virker

• Bygge et komplet personligt læringssystem

• Foreslå ressourcer og anden form for hjælp

• …..andre lærende fandt dette brugbart

• ……denne person kan måske hjælpe dig

Frit efter:

Clow, D. (2012). The learning analytics cycle: closing the loop effectively (p. 134). ACM Press.

http://doi.org/10.1145/2330601.2330636

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Learning Analytics Model(LAM)

Siemens, G. (2013). Learning Analytics: The Emergence of a Discipline.

American Behavioral Scientist.

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Algorithmic accountability

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Learning Analytics – eksempler på forskning og værktøjer

p

http://www.itap.purdue.edu/studio/signals/

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Learning Analytics – eksempler på intervention

p

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Visualiseringer – Læringsudbytte?

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Data fra ny opgavetyper, ny kompetencer,

nyt læringsudbytte

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Sundhedsdata

http://www.dr.dk/Nyheder/Viden/Tech/2014/08/12/145433.htm

http://www.samsung.com

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Ny opgavetyper, Ny kompetencer, nyt læringsudbytte - Eye Tracking

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Ny opgavetyper, Ny kompetencer, nyt læringsudbytte Fingerfærdighed

At the Florida Hospital Celebration Health in Kissimmee, Florida, general surgeon Dr. James “Butch” Rosser conducted an experiment with 300 surgeons. Prior to performing a simulated laparoscopic surgery, half of the doctors played a variety of video games, including Super Monkey Ball 2 on the Nintendo Wii and the original Super Monkey Ball on the GameCube, for six minutes while the other 150 doctors did not. Those that played the video games scored higher on the surgery simulator, resulting in better results for the virtual patients.

“Surgeons who had played video games in the past for more than three hours per week made 37-percent fewer errors, were 27-percent faster and scored 26-percent better overall than surgeons who never played video games,” the study found. “It is the error reduction that will have the most significant impact on patient safety.”

Rosser, who compares the act of surgeon playing a video game before surgery to an athlete warming up before a game, first published a report on the benefits of video games for physicians in 2003. He has preached the virtues of gaming ever since. As a result of the study, the surgeon’s lounge in the Florida hospital now features a gaming lounge, where up to four doctors can play/prepare.

http://www.digitaltrends.com/gaming/surgeons-play-video-games-to-prepare-for-surgery /

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Ny opgavetyper, Ny kompetencer, nyt læringsudbytte

3D scan & Print

Fablabs

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Ny opgavetyper, Ny kompetencer, nyt læringsudbytte The Quantified Self - EEG - måling