Monitoring F2F interactions through Attendance Control
samara ruiz maite urretavizcaya isabel fernández de castro
samara.ruiz@ehu,es
GaLan Group http://galan.ehu.es/Galan/ Languages and Computer Systems Department University of the Basque Country
Interaction Hypothesis
VanLehn
The interaction Plateau: Answer-Based Turoring < Based Tutoring = Natural tutoring
In: Woolf, B.P., Aïmeur, E., Nkambou, R., Lajoie, S. (ed.). 2008. Intelligent Tutoring Systems. LNCS, vol. 5091, pp. 7. Springer, Heidelberg.
One to one tutoring
Chi, Siler, Jeong, Yamauchi, Hausmann Learning from human tutoring Cognitive Science, Volume 25, Number 4, pp. 471-533(63) July 2001.
improvement of the learning process through the monitoring of F2F interactions
student centered learning
Verbert, Duval, Klerkx, Govaerts, Santos
Learning Analytics Dashboard Applications
American Behavioral Scientist October 2013 57: 1500-1509
questionnaire 95 teachers (69 engineering, 26 social science) 26 questions (planning, interactions, evaluation, collaboration)
H1: number of students H2: non-digital natives H3: registration for feedback H4: collaboration for information
H1: number of students use of communication types / number of students
email
individual tutoring
collective tutoring
forum
chat
H2: non-digital natives use of planning tools / teachers’ age
TextDocument
Spreadsheet
GoogleCal, MoodleCal, Outlook...
Pen-Paper
H3: registration for feedback interest in registering classroom interactions
H3: registration for feedback interest in registering students’ behavior in class
H4: collaboration for information interest in coordination between colleagues
4
55
35
16
3
27
36
25
2
8
16
31
1
5
8
23
Learning workload
Progress in other subjects
Personal characteristics
pre-requisites intuitive agile simple
presenceCLICK:"
attendanceModule
presenceCLICK:"
attendanceModule
attendanceModule: pilot test 12 teachers 8 subjects 80 students per class (CS 1º grade)
Usefulness Usability
next qCLICK
students’ experience
questions?
Samara Ruiz
[email protected]