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Using Visualizations to Improve Assessment in Blended Learning Environments
1. TEEM 2018 – 25th October 2018
TEEM 2018 – 25th October 2018
Using Visualizations to Improve Assessment in
Blended Learning Environments
Mikel Villamañe, Ainhoa Álvarez, Mikel Larrañaga,
Oscar Hernández-Rivas, Jessica Caballero
University of the Basque Country UPV/EHU
2. TEEM 2018 – 25th October 2018
• Introduction
• COBLE
– Knowledge Model
– Data management module
– Feedback module
• Acceptance evaluation
• Conclusions & future work
Agenda
2
3. TEEM 2018 – 25th October 2018
• Assessment is a key element in teaching/learning
processes
• A good assessment process entails analyzing
students’ results
– To detect anomalies and provide feedback to solve
them
Introduction
3
4. TEEM 2018 – 25th October 2018
• Assessment information can come from different
sources. Moreover in blended-learning
environments
• This data heterogeneity makes difficult to extract
valuable information
• Tools that facilitate to aggregate and integrate
information from different sources are required
Introduction
4
…
6. TEEM 2018 – 25th October 2018
COBLE
6
……
KNOWLEDGE MODEL
DATA MANAGEMENT MODULE
FEEDBACK MODULE
7. TEEM 2018 – 25th October 2018
• Domain knowledge
– Course structure: competences, topics, assessable
items...
• Student knowledge
– Historical data: information regarding work sessions
– Knowledge level
– Competences Mastery level
COBLE – Knowledge Model
7
8. TEEM 2018 – 25th October 2018
COBLE – Data Management Module
8
a
b
c
d
e
KNOWLEDGE MODEL
Historical data Knowledge level Mastery level
9. TEEM 2018 – 25th October 2018
• Provide lecturers relevant visual information
– To track their students
– Refine teaching and assessment practices
accordingly
COBLE – Feedback Module
9
11. TEEM 2018 – 25th October 2018
• Acceptance is critical for the inclusion of any
ICT solution
• Unified Theory of Acceptance and Use of
Technology (UTAUT)
• 8 lecturers (4 women, 4 men) with more than
10 years of experience
• 30 minute session
Acceptance evaluation
11
Introduction of
functionalities
Free interaction
with the system
Interview
12. TEEM 2018 – 25th October 2018
• Users found COBLE useful
• The system would be helpful to detect
problematic situations in the assessment
process.
• 62,5% stated they would like to use the system
Acceptance evaluation
12
I intend to use the system
next academic year
Yes Yes, but integrated I don't know
13. TEEM 2018 – 25th October 2018
• Conclusions
– COBLE helps lecturers to integrate the information
gathered from different sources
– COBLE also provides various visualizations that can
help teachers to detect anomalous situations.
– COBLE has been tested in a real scenario with
lecturers from diverse courses
Conclusions & future work
13
14. TEEM 2018 – 25th October 2018
• Future work
– Use COBLE in several courses to evaluate whether
the use of the system has any effects on the
course´s instructional design and on the students’
learning process.
– Provide the students access to the visualizations
– Include for the teachers the possibility of sending
messages to students
Conclusions & future work
14
15. TEEM 2018 – 25th October 2018
TEEM 2018 – 25th October 2018
Using Visualizations to Improve Assessment in
Blended Learning Environments
THANK YOU
Contact: ainhoa.alvarez@ehu.eus
http://galan.ehu.eus
Editor's Notes
*Contamos algunas características incorporadas a la herramienta coble que permite detectar anomalías durante el proceso de evaluación para que el docente le de respuesta
*Se presentarán sus características principales y se presentará la evaluación que se ha realizado de la propuesta
Blended learning: Current trend in higher education
*Estamos trabajando en el desarrollo de un entorno orientado al aprendizaje basado en competencias al que le hemos integrado aspectos relacionados con learning analytics
*La información puede venir de muchas fuentes. Pero en general todos ellos permiten exportar la información relativa a la evaluación en ficheros CSV
*Nuestro sistema proporciona un módulo (Data management) que permite recoger esta información en el modelo de conocimiento del sistema
*Finalmente, esta información es tratada por el módulo de feedback
*El modelo de conocimiento se estructura en dos partes
To upload the information related to the learner, currently COBLE supports its loading from comma-separated values text files. The file to be uploaded must contain in each line the information of a particular student. The only compulsory field is the student’s e-mail because it is used as the student’s identifier in COBLE. The email has been selected as identifier in the system because it makes it easier to import and integrate data from different systems as it does not compel the student to have the same user name in the different systems being used.
The lecturer can generate this file using the export option of different learning support systems (such as Moodle), or directly in a spreadsheet as many lecturers do in their courses. Once the lecturer has generated the file with the information to be imported, COBLE provides an interface to easily load it into the system (see Fig. 3).
the information related to the assessment of the different tasks contained in the file, is stored in the historical data part of the learner related data. Taking into account this information, COBLE updates the knowledge and competence mastery levels of the learner using the Bayesian Knowledge Tracing (BKT) technique that has successfully been used for updating the knowledge model in many educational systems [2, 14, 16].
Una vez que selecciona la asignatura y el grupo que quiere analizar, el profesor puede ver mediante diferentes gráficos lo que está ocurriendo en su asignatura. Actualmente estamos trabajando con la información recogida sobre los ejercicios
*Puede ver la información sobre un estudiante, un grupo o comparaciones entre grupos o entre un estudiante y un grupo.
*Puede seleccionar qué elementos concretos quiere visualizar
*Puede seleccionar el tipo de gráfica (hemos realizado experimentos y hemos visto que dependiendo de su background o incluso la asignatura, no siempre prefieren lo mismo los profesores. Pueden tener una por defecto que modifican de acuerdo a las necesidades concretas de un momento.
**To evaluate the acceptance of the system, the Unified Theory of Acceptance and Use of Technology (UTAUT) of Venkatesh [13] has been selected as it consolidates and unifies previous technology adoption models [1].
**The study was conducted in an individual unique session of 30 minutes where an observer introduced the system functionalities. Next the subjects interacted freely with the system. Finally the observer made an interview to the participants.
**When asked about their intention to use the system next academic year (see Fig. 6), none of them rejected the possibility of using the system and only 12.5% of lecturers was not sure about it. 62.5% stated that they would undoubtedly use it and 25% that they would like to use it, but only if integrated with the Learning Management System used by their University (Moodle).
**COBLE helps lecturers to integrate the information gathered from different sources, what is usually required in blended-learning scenarios