An Interactive Teacher’s Dashboard for Monitoring Groups in a Multi-tabletop Learning Environment

Maldonado, Roberto Martínez; Kay, Judy; Yacef, Kalina; Schwendimann, Beat A.

doi:10.1007/978-3-642-30950-2_62

Cited by 84 publications

(29 citation statements)

References 10 publications

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“…In addition, the progress made visible by the hint system allowed assistants to quickly identify students in need of guidance. Directly providing this feedback to educators through a tablet computer similar to the work of Maldonado et al [9] has the potential to facilitate personalized interventions and improve learning.…”

Section: Future Workmentioning

confidence: 99%

Improved Mobile Robot Programming Performance through Real-time Program Assessment

Siegfried

Klinger

Groß

et al. 2017

Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education

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The strong interest children show for mobile robots makes these devices potentially powerful to teach programming. Moreover, the tangibility of physical objects and the sociability of interacting with them are added benefits. A key skill that novices in programming have to acquire is the ability to mentally trace program execution. However, because of their embodied and real-time nature, robots make the mental tracing of program execution difficult.To address this difficulty, in this paper we propose an automatic program evaluation framework based on a robot simulator. We describe a real-time implementation providing feedback and gamified hints to students.In a user study, we demonstrate that our hint system increases the percentage of students writing correct programs from 50 % to 96 %, and decreases the average time to write a correct program by 30 %. However, we could not show any correlation between the use of the system and the performance of students on a questionnaire testing concept acquisition. This suggests that programming skills and concept understanding are different abilities.Overall, the clear performance gain shows the value of our approach for programming education using robots.

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Section: Future Workmentioning

confidence: 99%

Improved Mobile Robot Programming Performance through Real-time Program Assessment

Siegfried

Klinger

Groß

et al. 2017

Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education

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“…The first explored a wide range of candidate visualizations based on paper prototypes (Martinez-Maldonado, . The second consisted of trials in the lab, with teachers analyzing real student data, but simulating classroom sessions (Martinez-Maldonado, Yacef, Kay, & Schwendimann, 2012). The third included two pilot studies in real classrooms conducted in two different semesters (Martinez-Maldonado et al, 2013).…”

Section: Series Of Studiesmentioning

confidence: 99%

“…Eight visualizations were generated and distributed on the two different user interfaces. More details of the study can be found in Martinez-Maldonado et al (2012).…”

Section: Stage 3 -Simulations With Real Instructorsmentioning

confidence: 99%

LATUX: an Iterative Workflow for Designing, Validating and Deploying Learning Analytics Visualisations

et al. 2016

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Designing, validating, and deploying learning analytics tools for instructors or students is a challenge that requires techniques and methods from different disciplines, such as software engineering, human-computer interaction, computer graphics, educational design, and psychology. Whilst each has established its own design methodologies, we now need frameworks that meet the specific demands of the cross-disciplinary space defined by learning analytics are needed. In particular, LAK needs a systematic workflow for creating tools that truly underpin the learning experience. In this paper, we present a set of guiding principles and recommendations derived from the LATUX workflow. This is a five-stage workflow to design, validate, and deploy awareness interfaces in technology-enabled learning environment. LATUX is based on well-established design processes for creating, testing, and re-designing user interfaces. We extend existing approaches by integrating the pedagogical requirements needed to guide the design of learning analytics visualizations that can inform pedagogical decisions or intervention strategies. We illustrate LATUX in a case study of a classroom with collaborative activities. Finally, the paper proposes a research agenda to support designers and implementers of learning analytics interfaces. 1 Keywords: Design, HCI, groupware, visualizations, design, dashboard, awareness, software engineering 1 An earlier, shorter version of this paper (Martinez-Maldonado et al., 2015) is the foundation for this article, which has been extended in light of feedback and insights from LAK ʼ15.

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“…Few cases are specifically designed for tablets (Martinez Maldonado, Kay, Yacef, & Schwendimann, 2012) or large displays. To the best of our knowledge, no examples exist of learning dashboards deployed on devices such as interactive tabletops and whiteboards.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Learning Dashboards

2014

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An Interactive Teacher’s Dashboard for Monitoring Groups in a Multi-tabletop Learning Environment

Cited by 84 publications

References 10 publications

Improved Mobile Robot Programming Performance through Real-time Program Assessment

Improved Mobile Robot Programming Performance through Real-time Program Assessment

LATUX: an Iterative Workflow for Designing, Validating and Deploying Learning Analytics Visualisations

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