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The student activity meter for awareness and self-reflection
Open accessAbstract
Visualization of user actions can be used in Technology Enhanced Learning to increase awareness for learners and teachers and to support self-reflection. In this paper, we present our Student Activity Meter that visualizes learner actions. We present four design iterations and results of both quantitative and qualitative evaluation studies in real-world settings that assess the usability, use and usefulness of different visualizations. Results indicate that our tool is useful for a variety of teacher and learner needs, including awareness of time spent and resource use. Tools like SAM can also be deployed in other settings that require awareness and self-reflection, e.g. in personal informatics and health monitoring, where motivated users will value the flexible mechanisms to analyze trending data.
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Cites
Becoming a Self-Regulated Learner: An Overview
Zimmerman, B. J. (2002) · Theory Into Practice · doi:10.1207/s15430421tip4102_2 · Cited by 10,197
(1993) · Cited by 9,879
SUS: A 'Quick and Dirty' Usability Scale
(1996) · Usability Evaluation In Industry · doi:10.1201/9781498710411-35 · Cited by 8,989
(1993) · Elsevier eBooks · doi:10.1016/c2009-0-21512-1 · Cited by 5,552
An Empirical Evaluation of the System Usability Scale
Bangor, A., Kortum, P. T., & Miller, J. T. (2008) · International Journal of Human–Computer Interaction · doi:10.1080/10447310802205776 · Cited by 5,181
The eyes have it: a task by data type taxonomy for information visualizations
Shneiderman, B. (2002) · IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) · doi:10.1109/vl.1996.545307 · Cited by 4,833
Usability Evaluation In Industry
(1996) · CRC Press eBooks · doi:10.1201/9781498710411 · Cited by 4,445
Visual Analytics: Definition, Process, and Challenges
Keim, D. A., Andrienko, G., Fekete, J., Görg, C., Kohlhammer, J., & Mélançon, G. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-70956-5_7 · Cited by 1,091
The Think Aloud Method: A Practical Guide to Modelling Cognitive Processes
van Someren, M. (1994) · Cited by 975
The think aloud method: A practical guide to modelling cognitive processes
Solomon, P. J. (1995) · Information Processing & Management · doi:10.1016/0306-4573(95)90031-4 · Cited by 762
Flagged first, then by citations
Research works printed but not linked: 3
- 1st International Conference on Learning Analytics and Knowledge. 2011 , February 2011 . 1st International Conference on Learning Analytics and Knowledge. 2011, February 2011.
- Personal Informatics & HCI , CHI'11 workshop. Personal Informatics & HCI, CHI'11 workshop.
- J. Benedek and T. Miner . Measuring desirability: New methods for evaluating desirability in a usability lab setting . In Proc. of UPA Conf. , 2002 . J. Benedek and T. Miner. Measuring desirability: New methods for evaluating desirability in a usability lab setting. In Proc. of UPA Conf., 2002.
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Items 101–193 of 193
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Akiri, S., Misal, V., Taherzadeh, S., Jenkins, J. L., Williams, G., Mentis, H. M., & Kleinsmith, A. (2024) · Annual Symposium on Human-Computer Interaction for Work (CHIWORK) · doi:10.1145/3663384.3663385 · Cited by 10
Supporting Stakeholders with Learning Analytics to Increase Study Success
Hommel, M., Egetenmeier, A., & Maier, U. (2019) · Springer eBooks · doi:10.1007/978-3-319-64792-0_3 · Cited by 8
Visual Feedback for Players of Multi-Level Capture the Flag Games: Field Usability Study
(2019) · Veřejné služby Informačního systému (Masarykiana Brunensis Universitas) · Cited by 8
Guitart, I., Rodríguez, M. E., & Baró, X. (2019) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-3-030-29326-0_6 · Cited by 8
Educational Data Mining Tools: A Survey from 2001 to 2016
Venkatachalapathy, K., Vijayalakshmi, V., & Ohmprakash, V. (2017) · International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM) · doi:10.1109/icrtccm.2017.53 · Cited by 8
Dusting for fingerprints: Tracking online student engagement
Armas-Cervantes, A., Abedin, E., & Taymouri, F. (2024) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2024.100232 · Cited by 8
Evaluating Students' Interpretation of Feedback in Interactive Dashboards
Corrin, L. (2018) · Routledge eBooks · doi:10.4324/9781351136501-13 · Cited by 7
de‐la‐Fuente‐Valentín, L., Burgos, D., & Crespo, R. A. G. (2014) · IEEE International Conference on Advanced Learning Technologies (ICALT) · doi:10.1109/icalt.2014.107 · Cited by 7
Learning Analytics Evaluation - Beyond Usability.
Lukarov, V., Chatti, M. A., & Schroeder, U. (2015) · RWTH Publications (RWTH Aachen) · Cited by 7
Sensor Technology for Learning Support
Specht, M. M. (2014) · Cited by 7
Tracking and visualizing time management for Self-Regulated Learners
Manso-Vázquez, M., Rodríguez, M. C., & Nistal, M. L. (2016) · IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie.2016.7757411 · Cited by 7
Yousuf, B., Conlan, O., & Wade, V. P. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-57717-9_20 · Cited by 7
Kaur, A., & Chahal, K. K. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-12125-5 · Cited by 8
Yousuf, B., Staikopoulos, A., & Conlan, O. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-98572-5_11 · Cited by 6
Am I doing well? A4Learning as a self-awareness tool to integrate in Learning Management Systems
de‐la‐Fuente‐Valentín, L., & Burgos, D. (2014) · Repositorio Institucional de la Universidad de Huelva (Universidad de Huelva) · Cited by 6
Towards Qualitative Insights for Visualizing Student Engagement in Web-based Learning Environments
Carrillo, R., Lavoué, É., & Prié, Y. (2016) · International World Wide Web Conference (WWW) · doi:10.1145/2872518.2891076 · Cited by 6
Visualizing student engagement in e-learning environment
Pesare, E., Roselli, T., & Rossano, V. (2016) · Proceedings · doi:10.18293/dms2016-028 · Cited by 6
Competences as Services in the Autonomic Cycles of Learning Analytic Tasks for a Smart Classroom
González-Eras, A., Buendía, O., Aguilar, J., Cordero, J., & Rodríguez, T. (2017) · Communications in computer and information science · doi:10.1007/978-3-319-67283-0_16 · Cited by 6
Effectiveness of Dashboard and Intervention Design
Pokhrel, J., & Awasthi, A. (2021) · Advances in analytics for learning and teaching · doi:10.1007/978-3-030-81222-5_5 · Cited by 6
Personal informatics systems for supporting self‐regulation in online learning environments
García‐Solórzano, D., Santamaría, E., Morán, J. A., Cobo, G., & Monzó, C. (2018) · Computer Applications in Engineering Education · doi:10.1002/cae.21989 · Cited by 6
Kokpity menedżerskie jako narzędzie monitorowania efektów kształcenia studentów
Ziuziański, P., Furmankiewicz, M., & Sołtysik-Piorunkiewicz, A. (2015) · e-mentor · Cited by 5
Rayón, A., Guenaga, M., & Núñez, A. (2014) · International Conference on Knowledge Management and Knowledge Technologies · doi:10.1145/2637748.2638435 · Cited by 5
Coderetreats: Reflective Practice and the Game of Life
Parsons, D., Mathrani, A., Sušnjak, T., & Leist, A. (2014) · IEEE Software · doi:10.1109/ms.2014.25 · Cited by 5
Overcoming the MOOC Data Deluge with Learning Analytic Dashboards
Vigentini, L., Clayphan, A. J., Zhang, X., & Chitsaz, M. (2017) · Studies in systems, decision and control · doi:10.1007/978-3-319-52977-6_6 · Cited by 5
Clustering Student Participation: Implications for Education
Esnaashari, S., Gardner, L. A., & Watters, P. (2018) · International Conference on Advanced Information Networking and Applications Workshops (WAINA) · doi:10.1109/waina.2018.00104 · Cited by 5
Enhancing Situational Awareness for Tutors of Cybersecurity Capture the Flag Games
Burská, K. D., Rusňák, V., & Ošlejšek, R. (2021) · International Conference on Information Visualisation (IV) · doi:10.1109/iv53921.2021.00045 · Cited by 5
Student-facing Learning Analytics Dashboard: Profiles of Student Use
Eickholt, J., Weible, J., & Teasley, S. D. (2022) · IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie56618.2022.9962531 · Cited by 8
A feature-based analysis of MOOC for learning analytics
Chauhan, J., & Goel, A. (2017) · International Conference on Contemporary Computing · doi:10.1109/ic3.2017.8284331 · Cited by 5
Analytika učení: nový přístup ke zkoumání učení (nejen) ve virtuálním prostředí
Juhaňák, L., & Zounek, J. (2016) · Pedagogická orientace · doi:10.5817/pedor2016-3-560 · Cited by 5
Reza, M., & Yoon, D. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445190 · Cited by 4
Learning from Learning - Design-Based Research Practices in Child-Computer Interaction
Torgersson, O., Baykal, G. E., & Eriksson, E. W. (2024) · ACM International Conference on Interaction Design and Children (IDC) · doi:10.1145/3628516.3655754 · Cited by 7
Akçayır, G., Wanderley, L. F., Epp, C. D., Hewitt, J., & Mahmoudi-Nejad, A. (2021) · Advances in analytics for learning and teaching · doi:10.1007/978-3-030-81222-5_17 · Cited by 4
Li, X. V., Rosson, M. B., & Robert, J. (2022) · ACM Conference on Learning @ Scale (L@S) · doi:10.1145/3491140.3528271 · Cited by 4
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Wang, Z. (2024) · Journal of Education and Educational Research · doi:10.54097/3wa3pr04 · Cited by 4
Interactive Mining for Learning Analytics by Automated Generation of Pivot Table
Dobashi, K. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-94229-2_7 · Cited by 4
QR code programming tasks with automated assessment
Hakulinen, L., & Malmi, L. (2014) · ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE) · doi:10.1145/2591708.2591761 · Cited by 5
Visual analytical model for educational data
Aguilar, D. A. G., García‐Peñalvo, F. J., & Therón, R. (2014) · Iberian Conference on Information Systems and Technologies (CISTI) · doi:10.1109/cisti.2014.6877098 · Cited by 4
Imran, H., Ballance, K., da Silva, J. M. C., Kinshuk, K., & Sabine Graf, A. (2015) · Lecture notes in educational technology · doi:10.1007/978-981-287-868-7_4 · Cited by 4
The Effect of Different Features for Educational Computer-Based Competition Environments
Muñoz‐Merino, P. J., Alario‐Hoyos, C., Muñoz-Organero, M., Kloos, C. D., & Molina, M. F. (2017) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2017.2763595 · Cited by 4
Participant Carelessness: Is It a Substantial Problem With Survey Data?
Marasi, S., Wall, A., & Brewer, K. (2019) · The Electronic Journal of Business Research Methods · Cited by 4
SBGTool: Similarity-Based Grouping Tool for Students’ Learning Outcomes
Mohseni, Z. A., Martins, R. M., & Masiello, I. (2021) · doi:10.1109/sweds53855.2021.9638263 · Cited by 4
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Ross, T., Chang, T., Ives, C. A., Parker, N., Han, A., & Sabine Graf, A. (2016) · IEEE International Conference on Advanced Learning Technologies (ICALT) · doi:10.1109/icalt.2016.81 · Cited by 3
Revisiting Sensemaking: The case of the Digital Decision Network Application (DigitalDNA)
Archer, E., & Barnes, G. (2017) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v18i5.2551 · Cited by 3
Juhaňák, L., & Zounek, J. (2019) · Advances in educational technologies and instructional design book series · doi:10.4018/978-1-5225-7473-6.ch003 · Cited by 3
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Viberg, O., Khalil, M., & Bergman, G. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-49932-7_91 · Cited by 4
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Weiand, A., Manssour, I. H., & Silveira, M. S. (2019) · International Journal of Distance Education Technologies · doi:10.4018/ijdet.2019040102 · Cited by 3
Fuad, M., & Akbar, M. (2022) · Education Sciences · doi:10.3390/educsci12120863 · Cited by 3
Improving the Pedagogy of Research Methodology through Learning Analytics
Daniel, B. K. (2019) · The Electronic Journal of Business Research Methods · Cited by 3
Learning Analytics for Co-Creation and Interactive Courseware
Smith, M., Laet, T. D., & Barata, A. (2023) · Postdigital science and education · doi:10.1007/978-3-031-31875-7_10 · Cited by 2
Design-based research in human–computer interaction: a scoping review
Eriksson, E. W., Baykal, G. E., & Torgersson, O. (2025) · Interacting with Computers · doi:10.1093/iwc/iwaf030 · Cited by 3
Personalising e-Learning Systems: Lessons Learned from a Vocational Education Case Study.
Tang, L. M., & Yacef, K. (2015) · International Conference on User Modeling, Adaptation, and Personalization · Cited by 2
Development and Evaluation of a Student-Facing Gamified Learning Analytics Dashboard
Akçapınar, G., & Hasnine, M. N. (2021) · Advances in analytics for learning and teaching · doi:10.1007/978-3-030-81222-5_13 · Cited by 2
Visualization and Dashboards: Challenges and Future Directions
Şahi̇n, M., & Ifenthaler, D. (2021) · Advances in analytics for learning and teaching · doi:10.1007/978-3-030-81222-5_27 · Cited by 2
Ross, T., Sondergaard, R. E., Ives, C. A., Han, A., & Sabine Graf, A. (2025) · Technology Knowledge and Learning · doi:10.1007/s10758-025-09868-0 · Cited by 1
Hellriegel, J., Osranek, R., Prescher, T., Rensing, C., & Weber, H. (2015) · Cited by 1
Learning Analytics for E-Learning Content Recommendations
Perera, A. S., & Tharsan, S. (2015) · International Conference on Higher Education Advances (HEAd) · doi:10.4995/head15.2015.448 · Cited by 1
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Poëllhuber, B., & Roy, N. (2019) · Distances et médiations des savoirs · doi:10.4000/dms.3745 · Cited by 1
Designing Dashboards to Support Teachers in Online Learning Tools
Iftikhar, S., Garcia-López, C., García‐Solórzano, D., Mor, E., & Guerrero‐Roldán, A. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-05657-4_17 · Cited by 1
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Role of Learning Management System for Evaluating Students’ progress in Learning Environment
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Reid, S. A., Kammer, F., Schüller, D., Siepermann, M., & Wölfer, J. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-32808-4_21 · Cited by 1
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Dobashi, K. (2017) · IIAI International Congress on Advanced Applied Informatics (IIAI-AAI) · doi:10.1109/iiai-aai.2017.102 · Cited by 1
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Xia, M., Zhao, Y., Hong, J., Erol, M. H., Kim, T., & Kim, J. (2022) · ACM Conference on Learning @ Scale (L@S) · doi:10.1145/3491140.3528264 · Cited by 1
9789180821773, & Mohseni, Z. A. (2024) · doi:10.15626/lud.532.2024 · Cited by 1
Ji, M. (2015) · theses.fr (ABES) · doi:10.70675/ae448396zb793z4b76z8cadz45c2b2959af2 · Cited by 4
Carrillo, R. (2019) · theses.fr (ABES) · doi:10.70675/85aacbf6z2516z42b7zb84ezba241a5b8e02 · Cited by 1
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The Pedagogical Perspective of Learning Analytics
Srinivasa, K. G., & Kurni, M. (2021) · Advances in analytics for learning and teaching · doi:10.1007/978-3-030-70258-8_8
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Ramos, C. D. Q., & Kasznar, I. K. (2024) · Revista Tecnológica de Administração · doi:10.12660/reta.v1n4.2024.92541
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Nayak, M., & Panda, M. (2025) · IGI Global eBooks · doi:10.4018/979-8-3693-8593-7.ch023
Lelardeux, C. P. (2017) · theses.fr (ABES) · doi:10.70675/cf505791z370cz4582z8535z4d44273336c6
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Metadata
- Authors
- Govaerts, S., Verbert, K., Duval, E., & Pardo, A.
- Affiliations
- KU Leuven (BE)
- Universidad Carlos III de Madrid (ES)
- Venue
- CHI '12 Extended Abstracts on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2012-05-05
- Pages
- 869-884
- OpenAlex
- W2127418831
- Cited by
- 193
- References
- 37
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 11 · 2023: 9 · 2022: 13 · 2021: 13 · 2020: 18 · 2019: 25 · 2018: 12 · 2017: 21 · 2016: 16 · 2015: 19 · 2014: 17 · 2013: 14 · 2012: 1
- FWCI
- 11.58
- Type
- conference paper
- Language
- en
- Open access
- green
- lirias.kuleuven.be
- Locations
- CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) (publishedVersion)
- Lirias (submittedVersion, other-oa)
- TU/e Research Portal (submittedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- Funders
- European Commission (231396, 2007–2013, FP7 2007-2013, FP7/2007)
- Fonds Wetenschappelijk Onderzoek
- Vlaamse regering
- Topics
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Data Visualization and Analytics
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
- Keywords
- self-reflection, awareness, technology-enhanced learning, usability evaluation, personal informatics, health monitoring, data trends
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