Educational monitoring tool based on faceted browsing and data portraits

García-Solórzano, David; Cobo, Germán; Santamaria, Eugènia; Morán, Jose Antonio; Monzo, Carlos; Melenchón, Javier

doi:10.1145/2330601.2330645

Cited by 9 publications

(3 citation statements)

References 20 publications

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“…These dashboards are used in traditional face-to-face teaching, online learning and blended learning settings. Some examples are Classroom View [16] that shows current activity in a classroom, the dashboard implemented in the learning management system Moodle [28] which tracks online activities to support teachers and the educational monitoring tool based on faceted browsing and data portraits showing the current status of each student in distance education [17]. Khan Academy 7 dashboard enables tutors to check progress of students where a table provides a goal status overview per student.…”

Section: Related Workmentioning

confidence: 99%

Addressing learner issues with StepUp!

Santos

Verbert

Govaerts

et al. 2013

Proceedings of the Third International Conference on Learning Analytics and Knowledge

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This paper reports on our research on the use of learning analytics dashboards to support awareness, self-reflection, sensemaking and impact for learners. So far, little research has been done to evaluate such dashboards with students and to assess their impact on learning. In this paper, we present the results of an evaluation study of our dashboard, called StepUp!, and the extent to which it addresses issues and needs of our students. Through brainstorming sessions with our students, we identified and prioritized learning issues and needs. In a second step, we deployed StepUp! during one month and we evaluated to which extent our dashboard addresses the issues and needs identified earlier in different courses. The results show that our tool has potentially higher impact for students working in groups and sharing a topic than students working individually on different topics.

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Section: Related Workmentioning

confidence: 99%

Addressing learner issues with StepUp!

Santos

Verbert

Govaerts

et al. 2013

Proceedings of the Third International Conference on Learning Analytics and Knowledge

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“…CourseVis (Mazza and Dimitrova (2007)) presents several graphical representations of LMS data for instructor use, while also discussing the challenges in distance learning. Among various student progress monitoring tools, proposed designs include faceted browsing (Ballard (2011);García-Solórzano et al (2012)), the former tool proposing color mappings to show student data metrics as data portraits. To enable exploration of student grades by the instructor and to provide fairer assessment, Friedler et al (2008) presents a dashboard composed of multiple views, each with a histogram with customizable axes and filtering options, along with the ability to assign final grade thresholds using a slider.…”

Section: Related Workmentioning

confidence: 99%

Analysis of consistency in large multi-section courses using exploration of linked visual data summaries

Yalçın

Gardner

Anderson

et al. 2015

Preprint

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Higher education courses with large student enrollments are commonly offered in multiple sections by multiple instructors. Monitoring consistency of teaching activities across sections is crucial in achieving equity for all students, and in developing strategies in response to emerging patterns and outliers. To address this need, we present an approach to analyze the multivariate data of sections, assignments and student submissions collected by a learning management system (LMS) using a new data exploration framework that we call linked data summaries. Data summaries are a unit of exploration with uncluttered, analytical, comprehensible visualizations of aggregations of data records attributes. Data browsers link multiple summaries and record lists, and enable flexible and rapid data analysis through tightly coupled interaction. Our analysis approach, developed in collaboration between analytics researchers and university instructors, reveals patterns across many aspects, including assignment and section structures, submission grading and timeliness. We present findings from an analysis of three semesters of an introductory oral communication course with over 1,750 students and 90 sections per semester.

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“…This should also allow a teacher to identify learning problems in a timely fashion and undertake pedagogical interventions. Furthermore, there is also a need to aggregate different pieces of information from a number of sources in order to create holistic patterns or data portraits [4] of student activities. This can also include real world environments which provide a vast array of physical learning objects and opportunities to completely immerse the student in a ubiquitous learning environment.…”

Section: Introductionmentioning

confidence: 99%

Visualization and Interactivity in the Teacher Decision Support System

Mottus¹,

Kinshuk

Graf

et al. 2013

2013 IEEE 13th International Conference on Advanced Learning Technologies

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The ability for teachers to support students in an online learning environment has proven to be very challenging due to the limitations caused by physical distance and asynchronous communication methods. To this end, an educational decision support system is proposed in the form of an interactive dashboard to empower teachers with the ability to access student learning process information along with system's recommendations, in order for them to undertake well-informed educational decisions. This research focuses on a potential design and the tools available to construct such a dashboard.

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Educational monitoring tool based on faceted browsing and data portraits

Cited by 9 publications

References 20 publications

Addressing learner issues with StepUp!

Addressing learner issues with StepUp!

Analysis of consistency in large multi-section courses using exploration of linked visual data summaries

Visualization and Interactivity in the Teacher Decision Support System

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