Mapping student online actions

Jesper Bruun; Pia Jensen; Linda Udby

Mapping student online actions

Bidragets oversatte titel: Kortlægning af studerendes online handlinger

Jesper Bruun, Pia Jensen, Linda Udby

1153 Downloads (Pure)

Abstract

Virtual Neutrons for Teaching pojektet (vnt.nmi3.org) har konverteret traditionel lærebog materiale i en wiki-stil online lærebog, der indeholder den samme tekst og ligninger som en traditionel tekstbog, men har tilføjet funktioner som følge af online-natur. To af disse funktioner er hypertekst sejladsen (i-tekst og navigation bar) og såkaldte wiki-problemer, hvoraf nogle har forbundet tips og løsninger. For disse problemer, studerende vælger aktivt, om og hvornår der skal vise problem hints og løsninger under problemløsning. Studerende kan også navigere siden som en del af deres problemløsning strategi. I denne undersøgelse bruger vi web analytics software til at spore studerende online adfærd ved at registrere, hvad bestemte objekter på bestemte websider studerende klikker på, og når hvert klik forekommer. For hver optaget session, vi skabe netværk baseret på de studerendes klik: En rettet forbindelse mellem to knudepunkter, 1 og 2, er trukket, hvis objektet repræsenteres af knudepunkt 2 klikkes højre AF-objektet repræsenteres af knudepunkt 1. Indledende analyse af disse netværk viser to generelle typer af adfærd: I en type, der er lidt interaktion med online indhold. Den studerende navigerer til den side, hvor problemet opstår og hurtigt presser "show hint" / "Vis løsning", når disse er tilgængelige. Netværk af disse møder er kendetegnet ved store loops og relativt få hubs. I den anden type, synes der at være mere interaktion med online-indhold. Den studerende navigerer sider, vender tilbage til problemet tekst, trykker "show hint" / "Vis løsning", men skjuler dem igen og undertiden genåbne efter at have besøgt.

Bidragets oversatte titel	Kortlægning af studerendes online handlinger
Originalsprog	Engelsk
Publikationsdato	27 mar. 2015
Status	Udgivet - 27 mar. 2015
Begivenhed	Complenet 2015 - New York, USA Varighed: 25 mar. 2015 → 27 mar. 2015

Konference

Konference	Complenet 2015
Land/Område	USA
By	New York
Periode	25/03/2015 → 27/03/2015

Emneord

Det Natur- og Biovidenskabelige Fakultet
netværk
kompleksitet
læring
e-læring

Adgang til dokumentet

MapOnlineWA_NetAccepteret manuskript, 365 KB

2 Foredrag og mundtlige bidrag
1 Organisation af og deltagelse i konference

Physics Education Research Conference 2012
Bruun, J. (Taler)
2 aug. 2012
Aktivitet: Deltagelse i eller arrangement af en begivenhed - typer › Organisation af og deltagelse i konference
Sociale Undervisningsnetværk: Hvordan man regner på relationer
Bruun, J. (Foredragsholder)
27 apr. 2012
Aktivitet: Tale eller præsentation - typer › Foredrag og mundtlige bidrag
Investigating Scientific Literacy with Linguistic Network Analysis
Bruun, J. (Foredragsholder)
2 sep. 2009
Aktivitet: Tale eller præsentation - typer › Foredrag og mundtlige bidrag

Citationsformater

@conference{009af0ea11ec4c80ac8f2f1623398ba0,

title = "Mapping student online actions",

abstract = "The Virtual Neutrons for Teaching project (vnt.nmi3.org) has converted traditional text book material into a wiki-style online text book that contains the same text and equations as the traditionally styled text book but has added features due to the online nature. Two of these features are hypertext navigability (in-text and navigation bar) and socalled wiki-problems some of which have associated hints and solutions. For these problems, students actively choose whether and when to show problem hints and solutions during problem solving. Students might also navigate the page as part their problem solving strategy. In this study, we use web analytics software to track student online behavior by recording what particular objects on particular web-pages students click on and when each click occurs. For each recorded session, we create networks based on student clicks: A directed link between two nodes, 1 and 2, is drawn, if the object represented by node 2 is clicked right af the object represented by node 1. Preliminary analysis of these networks show two general types of behavior: In one type, there is little interaction with the online contents. The student navigates to the page on which the problem occurs and quickly presses {"}show hint{"}/{"}show solution{"} when these options are available. Networks of these sessions are characterized by big loops and relatively few hubs. In the other type, there seems to be more interaction with the online content. The student navigates pages, returns to the problem text, presses {"}show hint{"}/{"}show solution{"}, but hides them again and sometimes re-open after having visited.",

keywords = "Faculty of Science, networks, learning, e-learning, complexity, netv{\ae}rk, kompleksitet, l{\ae}ring, e-l{\ae}ring",

author = "Jesper Bruun and Pia Jensen and Linda Udby",

year = "2015",

month = mar,

day = "27",

language = "English",

note = "Complenet 2015 ; Conference date: 25-03-2015 Through 27-03-2015",

}

TY - CONF

T1 - Mapping student online actions

AU - Bruun, Jesper

AU - Jensen, Pia

AU - Udby, Linda

PY - 2015/3/27

Y1 - 2015/3/27

N2 - The Virtual Neutrons for Teaching project (vnt.nmi3.org) has converted traditional text book material into a wiki-style online text book that contains the same text and equations as the traditionally styled text book but has added features due to the online nature. Two of these features are hypertext navigability (in-text and navigation bar) and socalled wiki-problems some of which have associated hints and solutions. For these problems, students actively choose whether and when to show problem hints and solutions during problem solving. Students might also navigate the page as part their problem solving strategy. In this study, we use web analytics software to track student online behavior by recording what particular objects on particular web-pages students click on and when each click occurs. For each recorded session, we create networks based on student clicks: A directed link between two nodes, 1 and 2, is drawn, if the object represented by node 2 is clicked right af the object represented by node 1. Preliminary analysis of these networks show two general types of behavior: In one type, there is little interaction with the online contents. The student navigates to the page on which the problem occurs and quickly presses "show hint"/"show solution" when these options are available. Networks of these sessions are characterized by big loops and relatively few hubs. In the other type, there seems to be more interaction with the online content. The student navigates pages, returns to the problem text, presses "show hint"/"show solution", but hides them again and sometimes re-open after having visited.

AB - The Virtual Neutrons for Teaching project (vnt.nmi3.org) has converted traditional text book material into a wiki-style online text book that contains the same text and equations as the traditionally styled text book but has added features due to the online nature. Two of these features are hypertext navigability (in-text and navigation bar) and socalled wiki-problems some of which have associated hints and solutions. For these problems, students actively choose whether and when to show problem hints and solutions during problem solving. Students might also navigate the page as part their problem solving strategy. In this study, we use web analytics software to track student online behavior by recording what particular objects on particular web-pages students click on and when each click occurs. For each recorded session, we create networks based on student clicks: A directed link between two nodes, 1 and 2, is drawn, if the object represented by node 2 is clicked right af the object represented by node 1. Preliminary analysis of these networks show two general types of behavior: In one type, there is little interaction with the online contents. The student navigates to the page on which the problem occurs and quickly presses "show hint"/"show solution" when these options are available. Networks of these sessions are characterized by big loops and relatively few hubs. In the other type, there seems to be more interaction with the online content. The student navigates pages, returns to the problem text, presses "show hint"/"show solution", but hides them again and sometimes re-open after having visited.

KW - Faculty of Science

KW - networks

KW - learning

KW - e-learning

KW - complexity

KW - netværk

KW - kompleksitet

KW - læring

KW - e-læring

M3 - Poster

T2 - Complenet 2015

Y2 - 25 March 2015 through 27 March 2015

ER -

Mapping student online actions

Abstract

Konference

Emneord

Adgang til dokumentet

Fingeraftryk

Aktiviteter

Physics Education Research Conference 2012

Sociale Undervisningsnetværk: Hvordan man regner på relationer

Investigating Scientific Literacy with Linguistic Network Analysis

Citationsformater