New Opportunities with Open Learner Models and Visual Learning Analytics

@inproceedings{Kay2015NewOW,
  title={New Opportunities with Open Learner Models and Visual Learning Analytics},
  author={Judy Kay and Susan Bull},
  booktitle={AIED},
  year={2015}
}
This paper compares approaches to visualising data for users in educational settings, contrasting visual learning analytics and open learner models. We consider the roots of each, and identify how each field can learn from experiences and approaches of the other, thereby benefiting both. 
LAL workshop: learning analytics for learners
TLDR
While increasing numbers of technology-enhanced learning applications are embracing the potential of learning analytics at the classroom level, often these are aimed at teachers, however, learners can also benefit from learning analytics data.
An Analysis of Open Learner Models for Supporting Learning Analytics
  • Stylianos Sergis, D. Sampson
  • Computer Science
    Learning Technologies for Transforming Large-Scale Teaching, Learning, and Assessment
  • 2019
TLDR
This chapter is to present a generic educational data-driven layered Open Learner Modelling framework, which can be used as a blueprint for the analysis (and design) of OLM instances, that informs the data collection, processing and sense-making capabilities of the analytics technology.
SMILI☺: a Framework for Interfaces to Learning Data in Open Learner Models, Learning Analytics and Related Fields
  • S. Bull, J. Kay
  • Education
    International Journal of Artificial Intelligence in Education
  • 2015
TLDR
A revised and simpler version of SMILI☺ is presented, offering this as a guide for designers of interfaces for OLMs, learning analytics and related fields, and highlighting the areas where there is need for more research.
Using Visualizations to Improve Assessment in Blended Learning Environments
TLDR
A system that helps lecturers to integrate information from different sources and to perform an analysis of the data through the use of visual learning analytics techniques is presented.
SMILIJ: A Framework for Interfaces to Learning Data in Open Learner Models, Learning Analytics and Related Fields
The SMILIJ (Student Models that Invite the Learner In) Open Learner Model Framework was created to provide a coherent picture of the many and diverse forms of Open Learner Models (OLMs). The aim was
Helping Teachers to Identify Students at Risk and Analyze their Learning Process
TLDR
This paper proposes the inclusion in AdESMuS of a module for the prediction of students at risk, what can help teachers to easily identify those students whilst there is the possibility of taking some remediation actions to improve the learning outcomes.
Transparent Player Model: Adaptive Visualization of Learner Model in Educational Games
TLDR
This work argues that this work can provide a valuable starting point for applying OLMs or adaptive visualizations of players’ learner models within gameplay sessions, which, in turn, can help to address both issues of application of LA to game research and OLMs.
Using Visual Learning Analytics to Support Competence-based Learning
TLDR
A system called COBLE (Competence-Based Learning Environment) that supports Competence-based Learning and combines Visual Learning Analytics and recommendation aspects in order to promote the students' and lecturers' self-reflection about the learning and teaching processes is presented.
Negotiated learner modelling to maintain today’s learner models
  • S. Bull
  • Computer Science, Education
    Res. Pract. Technol. Enhanc. Learn.
  • 2016
TLDR
The use of negotiated open learner models are suggested as a means to both maintain the accuracy of learNER models comprising multiple sources of data and prompt learner reflection during this model discussion process.
RubricVis: enriching rubric-based formative assessment with visual learning analytics
TLDR
Some of the visualization capabilities provided by RubricVis, a system that uses Visual Learning Analytics techniques to enhance rubric-based formative assessment, are presented to enrich the feedback for both students and teachers in such evaluation environments.
...
...

References

SHOWING 1-10 OF 32 REFERENCES
Learning, Learning Analytics, Activity Visualisation and Open Learner Model: Confusing?
TLDR
An open learner model is suggested in situations where many tools and activity visualisations produce more visual information than can be readily interpreted.
Learning Analytics Dashboard Applications
TLDR
A conceptual framework is presented that helps to analyze learning analytics applications for these kinds of users and whether dashboards contribute to behavior change or new understanding is assessed.
Learning Analytics as a Metacognitive Tool
TLDR
It is sustain that learning analytics offers opportunities to the students to reflect about learning and develop metacognitive skills and student-centered analytics are highlighted as a useful approach for reframing learning analytics as a tool for supporting self-directed and self-regulated learning.
INGRID: A Web Service Tool for Hierarchical Open Learner Model Visualization
TLDR
A tool to visualize open learner models that can be easily integrated with any existing web-based learning environment and domain independent and freely available as a web service.
Assessing English as a Second Language: From Classroom Data to a Competence-Based Open Learner Model.
TLDR
E-assessment of English as a Second Language is described and how it moves from data collected in classroom activities, through an automated assessment method, to visualising compete nce l vels in an open learner model is illustrated.
Enhancing Learning with Visualization Techniques
TLDR
This chapter analyzes how more novel visualization techniques can be used to enhance various activities during the learning process: finding and understanding educational resources, collaboration with learners and teachers, reflecting about learners’ progress, and designing learning experiences.
Learner Know Thyself: Student Models to Give Learner Control and Responsibility
  • J. Kay
  • Education, Computer Science
  • 1997
TLDR
An approach to student modelling where the student can delve into the student model is described, which serves as a basis for planning learning goals, improving communication between the teaching system and the learner, and as an aid to reflection about learning.
Open Learner Models
  • S. Bull, J. Kay
  • Biology
    Advances in Intelligent Tutoring Systems
  • 2010
TLDR
The range of purposes that Open Learner Models can serve are described, illustrating these with diverse examples of the ways that they have been made available in several research systems.
Learning analytics: drivers, developments and challenges
TLDR
This review of the field begins with an examination of the technological, educational and political factors that have driven the development of analytics in educational settings, and goes on to chart the emergence of learning analytics.
Usefulness of information visualizations based on educational data
TLDR
According to the results of this research, most of the students seemed to prefer visualizations that offer concrete and practical support for their studies rather thanVisualizations that support them in monitoring and evaluating their own learning performance.
...
...