Academic literature on the topic 'Teacher Dashboards'

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Journal articles on the topic "Teacher Dashboards"

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van Leeuwen, Anouschka, Carolien A. N. Knoop-van Campen, Inge Molenaar, and Nikol Rummel. "How Teacher Characteristics Relate to How Teachers Use Dashboards: Results From Two Case Studies in K-12." Journal of Learning Analytics 8, no. 2 (2021): 6–21. http://dx.doi.org/10.18608/jla.2021.7325.

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Teacher dashboards are a specific form of analytics in which visual displays provide teachers with information about their students; for example, concerning student progress and performance on tasks during lessons or lectures. In the present paper, we focus on the role of teacher dashboards in the context of teacher decision-making in K–12 education. There is large variation in teacher dashboard use in the classroom, which could be explained by teacher characteristics. Therefore, we investigate the role of teacher characteristics — such as experience, age, gender, and self-efficacy — in how te
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Dickler, Rachel, Janice Gobert, and Michael Sao Pedro. "Using Innovative Methods to Explore the Potential of an Alerting Dashboard for Science Inquiry." Journal of Learning Analytics 8, no. 2 (2021): 105–22. http://dx.doi.org/10.18608/jla.2021.7153.

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Educational technologies, such as teacher dashboards, are being developed to support teachers’ instruction and students’ learning. Specifically, dashboards support teachers in providing the just-in-time instruction needed by students in complex contexts such as science inquiry. In this study, we used the Inq-Blotter teacher-alerting dashboard to investigate whether teacher support elicited by the technology influenced students’ inquiry performance in a science intelligent tutoring system, Inq-ITS. Results indicated that students’ inquiry improved after receiving teachers’ help, elicited by the
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van Leeuwen, Anouschka, Nikol Rummel, and Tamara van Gog. "What information should CSCL teacher dashboards provide to help teachers interpret CSCL situations?" International Journal of Computer-Supported Collaborative Learning 14, no. 3 (2019): 261–89. http://dx.doi.org/10.1007/s11412-019-09299-x.

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Keuning, Trynke, and Marieke van Geel. "Differentiated Teaching With Adaptive Learning Systems and Teacher Dashboards: The Teacher Still Matters Most." IEEE Transactions on Learning Technologies 14, no. 2 (2021): 201–10. http://dx.doi.org/10.1109/tlt.2021.3072143.

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Vázquez-Ingelmo, Andrea, Francisco José García-Peñalvo, Roberto Therón, and Miguel Ángel Conde. "Representing Data Visualization Goals and Tasks through Meta-Modeling to Tailor Information Dashboards." Applied Sciences 10, no. 7 (2020): 2306. http://dx.doi.org/10.3390/app10072306.

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Information dashboards are everywhere. They support knowledge discovery in a huge variety of contexts and domains. Although powerful, these tools can be complex, not only for the end-users but also for developers and designers. Information dashboards encode complex datasets into different visual marks to ease knowledge discovery. Choosing a wrong design could compromise the entire dashboard’s effectiveness, selecting the appropriate encoding or configuration for each potential context, user, or data domain is a crucial task. For these reasons, there is a necessity to automatize the recommendat
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McCoy, Chase, and Patrick Shih. "Teachers as Producers of Data Analytics: A Case Study of a Teacher-Focused Educational Data Science Program." Journal of Learning Analytics 3, no. 3 (2016): 193–214. http://dx.doi.org/10.18608/jla.2016.33.10.

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Educational data science (EDS) is an emerging, interdisciplinary research domain that seeks to improve educational assessment, teaching, and student learning through data analytics. Teachers have been portrayed in the EDS literature as users of pre-constructed data dashboards in educational technologies, with little consideration given to them as active producers of data analytics. This article presents the case study results of an EDS program at a large university in Midwestern U.S.A. in which faculty and instructors were provided with access to institutional data and data analytics technolog
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Tissenbaum, Mike, and Jim Slotta. "Supporting classroom orchestration with real-time feedback: A role for teacher dashboards and real-time agents." International Journal of Computer-Supported Collaborative Learning 14, no. 3 (2019): 325–51. http://dx.doi.org/10.1007/s11412-019-09306-1.

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Michaeli, Shiran, Dror Kroparo, and Arnon Hershkovitz. "Teachers’ Use of Education Dashboards and Professional Growth." International Review of Research in Open and Distributed Learning 21, no. 4 (2020): 61–78. http://dx.doi.org/10.19173/irrodl.v21i4.4663.

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Education dashboards are a means to present various stakeholders with information about learners, most commonly regarding the learners’ activity in online learning environments. Typically, an education dashboard for teachers will include some type of visual aids that encourage teachers to reflect upon learner behavior patterns and to act in accordance to it. In practice, this tool can assist teachers to make data-driven decisions, thus supporting their professional growth, however, so far, the use of education dashboards by teachers has been greatly understudied. In this research we report on
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Charleer, Sven, Joris Klerkx, and Erik Duval. "Learning Dashboards." Journal of Learning Analytics 1, no. 3 (2014): 199–202. http://dx.doi.org/10.18608/jla.2014.13.22.

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My work explores how information visualisation techniques can be applied to Learning Analytics data to help teachers and students deal with the abundance of learner traces. I also investigate how the affordances of large interactive surfaces can facilitate a collaborative sense-making environment for multiple students and teachers to explore these learner traces together.
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Knight, David B., Cory Brozina, and Brian Novoselich. "An Investigation of First-Year Engineering Student and Instructor Perspectives of Learning Analytics Approaches." Journal of Learning Analytics 3, no. 3 (2016): 215–38. http://dx.doi.org/10.18608/jla.2016.33.11.

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This paper investigates how first-year engineering undergraduates and their instructors describe the potential for learning analytics approaches to contribute to students’ success. Results of qualitative data collection in a first-year engineering course indicated that both students and instructors emphasized a preference for learning analytics systems to focus on aggregate as opposed to individual data. Another consistent theme across students and instructors was an interest in bringing data related to time (e.g., how time is spent outside of class) into learning analytics products. Students’
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Dissertations / Theses on the topic "Teacher Dashboards"

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Okumko, Candace B. "Improving the efficacy of teacher-facing analytics dashboards for game-based assessment and beyond." Thesis, Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/130702.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February, 2021<br>Cataloged from the official PDF of thesis.<br>Includes bibliographical references (pages 91-93).<br>Since the early 2000s, more academic instruction has been moved to take place online, which has caused a growing demand for dashboards--websites that educators can access to monitor and understand their student's performance. However, there is a glaring lack of research dedicated to creating design principles that effectively meet instructor needs. In this work, I
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Menon, Neeraj. "Improving User Interface and User Experience of MathSpring Intelligent Tutoring System for Teachers." Digital WPI, 2018. https://digitalcommons.wpi.edu/etd-theses/1221.

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Common goals of Educational Data Mining are to model both student knowledge as well as student affect. While research continues along these lines of gathering data and building models of students' changing knowledge and affect states, little is being done to transform this collected (raw) data into meaningful entities that are more relatable to teachers, parents and other stakeholders, i.e. people who are not researchers. This research has entailed the iterative design and development of Teacher Tools, created with input from teachers and other experts. Teacher Tools is a web application desig
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Luo, Xinyan. "Supporting K-12 Teachers’ Decision Making through Interactive Visualizations : A case study to improve the usability of a real-time analytic dashboard." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-289216.

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Recent research have been focusing on supporting teachers in the classroom. Such support has been shown to benefit from the development and employment of teacher-facing analytic dashboards to help them to make fast and effective decisions in regard to the in-class student learning activities. The evolving interest in this field has facilitated the emergence of the Teaching Analytics area of practice and research. However, current research efforts have indicated that the use of such dashboards usually adds another layer to the already dynamic and complex situation for teachers, which can divert
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Ez, zaouia Mohamed. "Factors for dashboards design and use to inform teachers' practices in situ." Thesis, Lyon, 2020. http://www.theses.fr/2020LYSE3030.

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Les tableaux de bord ont un grand potentiel pour informer le travail, les décisions et les pratiques en éducation. Nous étudions la conception et l'utilisation des tableaux de bord pour informer les pratiques des enseignants lorsqu'ils aident les apprenants à utiliser les plates-formes d'apprentissage en ligne. Nous examinons spécifiquement ce que les enseignants "font" réellement avec ces technologies dans leur travail quotidien et à long terme. Nous soutenons que cette recherche a des ramifications sociales, pédagogiques et techniques. Pour comprendre les facteurs sociaux, nous avons besoin
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Rezende, Roberto Flavio. "Modelo de criação de Dashboards para apoio à avaliação de estudantes em ambiente de ensino a distância." Master's thesis, 2020. http://hdl.handle.net/10400.2/9870.

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O ensino a distância é uma realidade há muitas décadas e nos últimos anos temos visto surgir, devido à popularização e maturidade da Internet, diversos cursos de graduação e pós-graduação em regime de ensino a distância online. Porém, nesta modalidade, temos de nos atentar que os perfis, tanto do professor quanto do estudante, normalmente, são diferentes do ensino presencial, onde há a interação “cara a cara” entre as partes. Deste modo, a falta de contacto direto faz com que o professor perca a perceção direta de como está o andamento de sua disciplina, necessitando, comumente, navegar
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"A teacher's dashboard: Monitoring students in Tablet PC classroom settings." UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN, 2009. http://pqdtopen.proquest.com/#viewpdf?dispub=3347576.

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Books on the topic "Teacher Dashboards"

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Graphic's. Teacher's Logbook: Dashboard Notebook - Planner - Organizer - 100 Pages. Independently Published, 2019.

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Nine Professional Conversations to Change Our Schools: A Dashboard of Options. Corwin, 2018.

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Graphic's. Teacher's Logbook: 100 Pages for Your Organisation - Planner - Dashboard Notebook - Write in - Classroom - Courses. Independently Published, 2019.

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Book chapters on the topic "Teacher Dashboards"

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Molenaar, Inge, and Carolien Knoop-van Campen. "Teacher Dashboards in Practice: Usage and Impact." In Data Driven Approaches in Digital Education. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66610-5_10.

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Mottus, Alex, Kinshuk, Sabine Graf, and Nian-Shing Chen. "Use of Dashboards and Visualization Techniques to Support Teacher Decision Making." In Ubiquitous Learning Environments and Technologies. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44659-1_10.

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Gupta, Ankit, Neeraj Menon, William Lee, et al. "Affective Teacher Tools: Affective Class Report Card and Dashboard." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78292-4_15.

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Tenório, Kamilla, Bruno Lemos, Pedro Nascimento, et al. "Learning and Gamification Dashboards: A Mixed-Method Study with Teachers." In Intelligent Tutoring Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80421-3_45.

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Raclet, Jean-Baptiste, and Franck Silvestre. "Git4School: A Dashboard for Supporting Teacher Interventions in Software Engineering Courses." In Addressing Global Challenges and Quality Education. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57717-9_33.

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Dickler, Rachel, Amy Adair, Janice Gobert, et al. "Examining the Use of a Teacher Alerting Dashboard During Remote Learning." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78270-2_24.

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Isaias, Pedro, and Adriana Backx Noronha Viana. "On the Design of a Teachers’ Dashboard: Requirements and Insights." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50513-4_19.

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Dickler, Rachel. "An Intelligent Tutoring System and Teacher Dashboard to Support Mathematizing During Science Inquiry." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23207-8_61.

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Xhakaj, Françeska, Vincent Aleven, and Bruce M. McLaren. "Effects of a Teacher Dashboard for an Intelligent Tutoring System on Teacher Knowledge, Lesson Planning, Lessons and Student Learning." In Data Driven Approaches in Digital Education. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66610-5_23.

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Nikolayeva, Iryna, Bruno Martin, Amel Yessad, et al. "How to Help Teachers Adapt to Learners? Teachers’ Perspective on a Competency and Error-Type Centered Dashboard." In Lifelong Technology-Enhanced Learning. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98572-5_53.

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Conference papers on the topic "Teacher Dashboards"

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Hernandez, Sebastian, Nelson Baloian, Jose A. Pino, and Xiaojun Yuan. "A Teacher Dashboard for Real-Time Intervention." In 2018 IEEE 4th International Conference on Collaboration and Internet Computing (CIC). IEEE, 2018. http://dx.doi.org/10.1109/cic.2018.00039.

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Besbes, Riadh, and Seifeddine Besbes. "Cognitive Dashboard for Teachers Professional Development." In Qatar Foundation Annual Research Conference Proceedings. Hamad bin Khalifa University Press (HBKU Press), 2016. http://dx.doi.org/10.5339/qfarc.2016.ictpp2984.

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van Leeuwen, Anouschka, and Nikol Rummel. "Comparing teachers' use of mirroring and advising dashboards." In LAK '20: 10th International Conference on Learning Analytics and Knowledge. ACM, 2020. http://dx.doi.org/10.1145/3375462.3375471.

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Riedel, Jana, Claudia Ruhland, Sandra Schufmann, and Julia Zawidzki. "LEARNING ANALYTICS DASHBOARDS - EXPECTATIONS OF TEACHERS AND LEARNERS." In 13th International Conference on Education and New Learning Technologies. IATED, 2021. http://dx.doi.org/10.21125/edulearn.2021.1508.

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Safsouf, Yassine, Khalifa Mansouri, and Franck Poirier. "Experimental Design of Learning Analysis Dashboards for Teachers and Learners." In L@S '21: Eighth (2021) ACM Conference on Learning @ Scale. ACM, 2021. http://dx.doi.org/10.1145/3430895.3460990.

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Pozdniakov, Stanislav, Roberto Martinez-Maldonado, Shaveen Singh, et al. "Question-driven Learning Analytics: Designing a Teacher Dashboard for Online Breakout Rooms." In 2021 International Conference on Advanced Learning Technologies (ICALT). IEEE, 2021. http://dx.doi.org/10.1109/icalt52272.2021.00060.

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Dourado, Raphael A., Rodrigo Lins Rodrigues, Nivan Ferreira, Rafael Ferreira Mello, Alex Sandro Gomes, and Katrien Verbert. "A Teacher-facing Learning Analytics Dashboard for Process-oriented Feedback in Online Learning." In LAK21: 11th International Learning Analytics and Knowledge Conference. ACM, 2021. http://dx.doi.org/10.1145/3448139.3448187.

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Pantazos, Kostas, and Ravi Vatrapu. "Enhancing the Professional Vision of Teachers: A Physiological Study of Teaching Analytics Dashboards of Students' Repertory Grid Exercises in Business Education." In 2016 49th Hawaii International Conference on System Sciences (HICSS). IEEE, 2016. http://dx.doi.org/10.1109/hicss.2016.14.

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