Enhancing Learning with Visualization Techniques

Klerkx, Joris; Verbert, Katrien; Duval, Erik

doi:10.1007/978-1-4614-3185-5_64

Cited by 53 publications

(40 citation statements)

References 67 publications

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“…The tool presents to the student a visual explanatory decision tree (VEDT), which is a graphic representation highlighting the student's personal circumstances in the collaboration process. We hypothesize that visually showing metainformation about the collaboration process eases the understanding of the problem and encourages students to think about how they are collaborating, thus provoking self-reflection (Klerkx et al, 2014) and sensemaking (Knight et al, 2013). The tool shows the collaboration circumstances as a route in a hierarchical logical tree.…”

Section: Introductionmentioning

confidence: 99%

A visual recommender tool in a collaborative learning experience

Anaya

Luque

Peinado

2016

Expert Systems with Applications

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Section: Introductionmentioning

confidence: 99%

A visual recommender tool in a collaborative learning experience

Anaya

Luque

Peinado

2016

Expert Systems with Applications

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“…However, a large majority of dashboards are still aimed at teachers, or at both teachers and learners [35]. Moreover, there has been very little research in terms of what effects such tools have on learning [26].…”

Section: Introductionmentioning

confidence: 99%

Awareness Is Not Enough: Pitfalls of Learning Analytics Dashboards in the Educational Practice

Jivet

Scheffel

Drachsler

et al. 2017

Lecture Notes in Computer Science

205

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Abstract. It has been long argued that learning analytics has the potential to act as a "middle space" between the learning sciences and data analytics, creating technical possibilities for exploring the vast amount of data generated in online learning environments. One common learning analytics intervention is the learning dashboard, a support tool for teachers and learners alike that allows them to gain insight into the learning process. Although several related works have scrutinised the state-of-the-art in the field of learning dashboards, none have addressed the theoretical foundation that should inform the design of such interventions. In this systematic literature review, we analyse the extent to which theories and models from learning sciences have been integrated into the development of learning dashboards aimed at learners. Our critical examination reveals the most common educational concepts and the context in which they have been applied. We find evidence that current designs foster competition between learners rather than knowledge mastery, offering misguided frames of reference for comparison.

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“…The students make a choice of algorithms to follow, they design their own solutions and then build them. Because they are choosing their own project to follow and setting their own goals, they are more motivated [31], have more freedom, they feel in control of their learning. The structure gives clear grading points, and helps them understand their own learning pathway.…”

Section: Related Workmentioning

confidence: 99%

The Explanatory Visualization Framework: An Active Learning Framework for Teaching Creative Computing Using Explanatory Visualizations

Roberts

Ritsos

Jackson

et al. 2018

IEEE Trans. Visual. Comput. Graphics

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Abstract:Visualizations are nowadays appearing in popular media and are used everyday in the workplace. This democratisation of visualization challenges educators to develop effective learning strategies, in order to train the next generation of creative visualization specialists. There is high demand for skilled individuals who can analyse a problem, consider alternative designs, develop new visualizations, and be creative and innovative. Our three-stage framework, leads the learner through a series of tasks, each designed to develop different skills necessary for coming up with creative, innovative, effective, and purposeful visualizations. For that, we get the learners to create an explanatory visualization of an algorithm of their choice. By making an algorithm choice, and by following an active-learning and project-based strategy, the learners take ownership of a particular visualization challenge. They become enthusiastic to develop good results and learn different creative skills on their learning journey. Abstract-Visualizations are nowadays appearing in popular media and are used everyday in the workplace. This democratisation of visualization challenges educators to develop effective learning strategies, in order to train the next generation of creative visualization specialists. There is high demand for skilled individuals who can analyse a problem, consider alternative designs, develop new visualizations, and be creative and innovative. Our three-stage framework, leads the learner through a series of tasks, each designed to develop different skills necessary for coming up with creative, innovative, effective, and purposeful visualizations. For that, we get the learners to create an explanatory visualization of an algorithm of their choice. By making an algorithm choice, and by following an active-learning and project-based strategy, the learners take ownership of a particular visualization challenge. They become enthusiastic to develop good results and learn different creative skills on their learning journey.

show abstract

Enhancing Learning with Visualization Techniques

Cited by 53 publications

References 67 publications

A visual recommender tool in a collaborative learning experience

A visual recommender tool in a collaborative learning experience

Awareness Is Not Enough: Pitfalls of Learning Analytics Dashboards in the Educational Practice

The Explanatory Visualization Framework: An Active Learning Framework for Teaching Creative Computing Using Explanatory Visualizations

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