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arxiv: 1906.09934 · v1 · pith:YXNWLOKInew · submitted 2019-06-20 · 💻 cs.HC · cs.CY

Scenarios for Educational and Game Activities using Internet of Things Data

Chrysanthi Tziortzioti , Irene Mavrommati , Georgios Mylonas , Andrea Vitaletti , Ioannis Chatzigiannakis This is my paper

Pith reviewed 2026-05-25 19:15 UTC · model grok-4.3

classification 💻 cs.HC cs.CY
keywords IoTeducationgamificationSTEMseawater sensorsenergy awarenessenvironmentsustainable behavior
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The pith

IoT sensing scenarios educate school children on energy and environment via discovery, gamification, and new seawater sensor uses in STEM.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper examines how Internet of Things data from sensors can support educational and game-based activities for school children to raise awareness about energy usage and environmental issues. It describes scenarios built around discovery learning and gamification, and introduces the previously unaddressed use of seawater sensors within STEM education. A sympathetic reader would care because early changes in young people's habits could support broader efforts to meet climate and energy targets through citizen behavior shifts. The work positions these IoT practices as practical tools for informing students about their roles in mitigation and adaptation.

Core claim

IoT sensing and related scenario and practices, which address school children via discovery, gamification, and educational activities, are examined in this paper. Use of seawater sensors in STEM education, that has not previously been addressed, is included in these educational scenaria.

What carries the argument

Design of educational scenarios that combine IoT sensor data with discovery learning and gamification for school children, using seawater sensors as a novel STEM element.

Load-bearing premise

The described scenarios will effectively raise awareness and change behavior among young people regarding energy and the environment.

What would settle it

A controlled before-and-after study measuring changes in participating students' knowledge of energy issues or their actual energy-related habits would test whether the scenarios produce the intended effects.

Figures

Figures reproduced from arXiv: 1906.09934 by Andrea Vitaletti, Chrysanthi Tziortzioti, Georgios Mylonas, Ioannis Chatzigiannakis, Irene Mavrommati.

Figure 1
Figure 1. Figure 1: Indoor temperature histogram for three classrooms during Sep/17 to Oct/17 [PITH_FULL_IMAGE:figures/full_fig_p006_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Classroom temperature during 30/Sep (Saturday) [PITH_FULL_IMAGE:figures/full_fig_p007_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Surface temperature of the seas of Europe [PITH_FULL_IMAGE:figures/full_fig_p009_3.png] view at source ↗
read the original abstract

Raising awareness among young people and changing their behavior and habits concerning energy usage and the environment is key to achieving a sustainable planet. The goal to address the global climate problem requires informing the population on their roles in mitigation actions and adaptation of sustainable behaviors. Addressing climate change and achieve ambitious energy and climate targets requires a change in citizen behavior and consumption practices. IoT sensing and related scenario and practices, which address school children via discovery, gamification, and educational activities, are examined in this paper. Use of seawater sensors in STEM education, that has not previously been addressed, is included in these educational scenaria.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 3 minor

Summary. The manuscript proposes educational and gamified scenarios that use Internet of Things (IoT) sensing data to engage school children in discovery-based activities addressing energy usage and environmental awareness. It presents several such scenarios and specifically highlights the incorporation of seawater sensors into STEM education activities, asserting that this application has not previously been addressed.

Significance. If the scenarios are original and the novelty claim for seawater sensors holds, the work could supply concrete examples for integrating IoT into environmental and STEM curricula. The contribution is primarily conceptual and descriptive; its value would increase if the scenarios were accompanied by implementation details or pilot data, but in its current form the paper offers only high-level scenario outlines without empirical grounding.

major comments (1)
  1. [Abstract] Abstract: the assertion that 'Use of seawater sensors in STEM education, that has not previously been addressed' is presented without any literature review, citations, or comparison to prior work. This claim is load-bearing for the stated novelty of the contribution.
minor comments (3)
  1. [Abstract] Abstract: 'scenaria' is a typographical error and should read 'scenarios'.
  2. [Abstract] Abstract: grammatical issues in the opening sentences ('Addressing climate change and achieve ambitious...') reduce clarity.
  3. The scenarios are described at a high level; adding concrete details on data flows, sensor integration, or activity mechanics would improve usability for educators.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for their constructive feedback. We address the single major comment below and agree that the novelty claim requires substantiation.

read point-by-point responses

  1. Referee: [Abstract] Abstract: the assertion that 'Use of seawater sensors in STEM education, that has not previously been addressed' is presented without any literature review, citations, or comparison to prior work. This claim is load-bearing for the stated novelty of the contribution.

    Authors: We agree that the novelty claim is presented without citations or a literature review and that this weakens the stated contribution. In the revised manuscript we will add a brief related-work discussion (and update the abstract) that reviews prior uses of IoT and marine sensors in STEM education; if no comparable seawater-sensor examples are found we will cite the relevant absence, and if examples exist we will qualify or remove the claim accordingly. revision: yes

Circularity Check

0 steps flagged

No significant circularity

full rationale

The paper is a purely descriptive proposal of educational scenarios and gamification ideas using IoT sensors (including a claim that seawater sensors in STEM education have not been addressed before). It contains no equations, derivations, fitted parameters, predictions, or load-bearing self-citations. All content is narrative scenario construction with no reduction of any claim to its own inputs by construction, so the derivation chain is empty and the circularity score is 0.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

The paper rests on the domain assumption that gamification and IoT data integration can drive behavior change in children, with no free parameters, axioms, or invented entities explicitly introduced or quantified in the abstract.

pith-pipeline@v0.9.0 · 5645 in / 1019 out tokens · 23925 ms · 2026-05-25T19:15:59.684453+00:00 · methodology

discussion (0)

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Reference graph

Works this paper leans on

46 extracted references · 46 canonical work pages

  1. [1]

    Technical report, Statistical Office of the European Union (Eurostat),

    Household structure in the eu. Technical report, Statistical Office of the European Union (Eurostat),

    work page

  2. [2]

    ISBN: 978-92-79-16760-7

    work page

  3. [3]

    Technical report, Buildings Performance Institute Europe (BPIE), 2011

    Europe’s buildings under the microscope: A country-by-country review of the energy performance of buildings. Technical report, Buildings Performance Institute Europe (BPIE), 2011. ISBN: 9789491143014

    work page 2011

  4. [4]

    Technical report, Luxembourg: Publications Office of the European Union, COM (2012) 473 final, 2012

    Green paper marine knowledge 2020, mapping to ocean forecasting. Technical report, Luxembourg: Publications Office of the European Union, COM (2012) 473 final, 2012. ISBN: 9789279-25350-8

    work page 2020

  5. [5]

    Technical report, Education, Audiovisual and Culture Executive Agency (EACEA P9 Eurydice, EUROSTAT), 2012

    Key data on education in europe 2012. Technical report, Education, Audiovisual and Culture Executive Agency (EACEA P9 Eurydice, EUROSTAT), 2012. ISBN 978-92-9201-242-7

    work page 2012

  6. [6]

    ISSN 1725-2237

    Achieving energy efficiency through behaviour change: what does it take? Technical report, Euro- pean Environment Agency (EEA), 2013. ISSN 1725-2237

    work page 2013

  7. [7]

    http://www.school-of-the-future.eu/

    School of the Future FP7 project, 2016. http://www.school-of-the-future.eu/

    work page 2016

  8. [8]

    https://iot.ieee.org/newsletter/november-2017/green-awareness-via-iot- infrastructure-educational-labs-and-games-in-schools-the-gaia-case

    The GAIA Case, 2017. https://iot.ieee.org/newsletter/november-2017/green-awareness-via-iot- infrastructure-educational-labs-and-games-in-schools-the-gaia-case

    work page 2017

  9. [9]

    Akribopoulos, I

    O. Akribopoulos, I. Chatzigiannakis, C. Koninis, and E. Theodoridis. A web services-oriented architecture for integrating small programmable objects in the web of things. In 2010 Developments in E-systems Engineering , pages 70–75. IEEE, 2010

    work page 2010

  10. [10]

    Akrivopoulos, N

    O. Akrivopoulos, N. Zhu, D. Amaxilatis, C. Tselios, A. Anagnostopoulos, and I. Chatzigiannakis. A fog computing-oriented, highly scalable iot framework for monitoring public educational buildings. In 2018 IEEE International Conference on Communications (ICC) , pages 1–6. IEEE, 2018

    work page 2018

  11. [11]

    Amaxilatis, O

    D. Amaxilatis, O. Akrivopoulos, I. Chatzigiannakis, and C. Tselios. Enabling stream processing for people-centric iot based on the fog computing paradigm. In 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017, Limassol, Cyprus, September 12-15, 2017, pages 1–8, 2017

    work page 2017

  12. [12]

    Amaxilatis, O

    D. Amaxilatis, O. Akrivopoulos, I. Chatzigiannakis, and C. Tselios. Enabling stream processing for people-centric iot based on the fog computing paradigm. In 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) , pages 1–8. IEEE, 2017. 11

    work page 2017

  13. [13]

    Amaxilatis, O

    D. Amaxilatis, O. Akrivopoulos, G. Mylonas, and I. Chatzigiannakis. An iot-based solution for monitoring a fleet of educational buildings focusing on energy efficiency. Sensors, 17(10):2296, 2017

    work page 2017

  14. [14]

    Baichtal

    J. Baichtal. Building Your Own Drones: A Beginners’ Guide to Drones, UAVs, and ROVs . Que Publishing Company, 1st edition, 2015

    work page 2015

  15. [15]

    Baumgartner, I

    T. Baumgartner, I. Chatzigiannakis, M. Danckwardt, C. Koninis, A. Kr¨ oller, G. Mylonas, D. Pfis- terer, and B. Porter. Virtualising testbeds to support large-scale reconfigurable experimental facil- ities. In J. S. Silva, B. Krishnamachari, and F. Boavida, editors, Wireless Sensor Networks , pages 210–223, Berlin, Heidelberg, 2010. Springer Berlin Heidelberg

    work page 2010

  16. [16]

    Brogan and A

    M. Brogan and A. Galata. The veryschool project: Valuable energy for a smart school - intelligent ISO 50001 energy management decision making in school buildings. In Proceedings of the Special Tracks and Workshops at the 11th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2015), Bayonne, France, September 14-17, 2015...

    work page 2015

  17. [17]

    Brossard, B

    D. Brossard, B. Lewenstein, and R. Bonney. Scientific knowledge and attitude change: The impact of a citizen science project. International Journal of Science Education , 27(9):1099–1121, 2005

    work page 2005

  18. [18]

    Burke, D

    J. Burke, D. Estrin, M. Hansen, A. Parker, N. Ramanathan, S. Reddy, and M. B. Srivastava. Participatory sensing. In In: Workshop on World-Sensor-Web (WSW06): Mobile Device Centric Sensor Networks and Applications , pages 117–134, 2006

    work page 2006

  19. [19]

    Capros, L

    P. Capros, L. Mantzos, V. Papandreou, and N. Tasios. European energy and transport trends to

    work page

  20. [20]

    ISBN 978-92-79-07620-6

    Technical report, Institute of Communication and Computer Systems of the National Technical University of Athens (ICCS-NTUA), E3M-Lab, Greece prepared for the Directorate-General for Energy and Transport, Office for Official Publications of the European Communities, 2008. ISBN 978-92-79-07620-6

    work page 2008

  21. [21]

    Chatzigiannakis, H

    I. Chatzigiannakis, H. Hasemann, M. Karnstedt, O. Kleine, A. Kr¨ oller, M. Leggieri, D. Pfisterer, K. R¨ omer, and C. Truong. True self-configuration for the iot. In3rd IEEE International Conference on the Internet of Things IOT , pages 9–15, 2012

    work page 2012

  22. [22]

    Chatzigiannakis, A

    I. Chatzigiannakis, A. Kinalis, and S. E. Nikoletseas. Power conservation schemes for energy efficient data propagation in heterogeneous wireless sensor networks. In Proceedings 38th Annual Simulation Symposium (ANSS-38 2005), 4-6 April 2005, San Diego, CA, USA , pages 60–71. IEEE Computer Society, 2005

    work page 2005

  23. [23]

    Chatzigiannakis, G

    I. Chatzigiannakis, G. Mylonas, and S. Nikoletseas. jWebDust: A java-based generic application environment for wireless sensor networks. In Distributed Computing in Sensor Systems, First IEEE International Conference, DCOSS 2005, Marina del Rey, CA, USA, June 30 - July 1, 2005, Pro- ceedings, volume 3560 of Lecture Notes in Computer Science , pages 376–38...

    work page 2005

  24. [24]

    Chatzigiannakis, G

    I. Chatzigiannakis, G. Mylonas, and S. Nikoletseas. Modeling and evaluation of the effect of obstacles on the performance of wireless sensor networks. In 39th Annual Simulation Symposium (ANSS’06) , pages 11 pp.–60, April 2006

    work page 2006

  25. [25]

    Chatzigiannakis, G

    I. Chatzigiannakis, G. Mylonas, and S. E. Nikoletseas. 50 ways to build your application: A survey of middleware and systems for wireless sensor networks. In Proceedings of 12th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2007, September 25-28, 2007, Patras, Greece, pages 466–473. IEEE, 2007

    work page 2007

  26. [26]

    Chatzigiannakis, G

    I. Chatzigiannakis, G. Mylonas, and A. Vitaletti. Urban pervasive applications: Challenges, scenar- ios and case studies. Computer Science Review, 5(1):103–118, 2011

    work page 2011

  27. [27]

    Crosby and A

    K. Crosby and A. B. Metzger. Powering down: A toolkit for behavior-based energy conservation in k-12 schools. Technical report, U.S. Green Building Council (USGBC), Washington DC, USA, 2012. 12

    work page 2012

  28. [28]

    Gaitani, L

    N. Gaitani, L. Cases, E. Mastrapostoli, and E. Eliopoulou. Paving the way to nearly zero energy schools in mediterranean region - zemeds project. Energy Procedia, 78:3348 – 3353, 2015. 6th International Building Physics Conference, IBPC 2015

    work page 2015

  29. [29]

    Garcia-Garcia, F

    C. Garcia-Garcia, F. Terroso-Saenz, F. Gonzalez-Burgos, and A. F. Skarmeta. Integration of serious games and iot data management platforms to motivate behavioural change for energy efficient lifestyles. In Global Internet of Things Summit, GIoTS 2017, Geneva, Switzerland, June 6-9, 2017 , pages 1–6. IEEE, 2017

    work page 2017

  30. [30]

    G¨ obel, S

    S. G¨ obel, S. Hardy, V. Wendel, F. Mehm, and R. Steinmetz. Serious games for health: personalized exergames. In Proceedings of the international conference on Multimedia , pages 1663–1666. ACM, 2010

    work page 2010

  31. [31]

    Guti´ errez, D

    V. Guti´ errez, D. Amaxilatis, G. Mylonas, and L. Mu˜ noz. Empowering citizens toward the co-creation of sustainable cities. IEEE Internet of Things Journal , 5(2):668–676, 2018

    work page 2018

  32. [32]

    S. Heggen. Participatory sensing: Repurposing a scientific tool for stem education. interactions, 20(1):18–21, Jan. 2013

    work page 2013

  33. [33]

    Kotovirta, T

    V. Kotovirta, T. Toivanen, R. Tergujeff, and M. Huttunen. Participatory sensing in environmental monitoring – experiences. In 2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing , pages 155–162, July 2012

    work page 2012

  34. [34]

    Mallon and P

    E. Mallon and P. Beddows. The cave pearl project: developing a summersible data logger systemfor long term environmental monitoring. https://thecavepearlproject.org

    work page

  35. [35]

    Medina, M

    J. Medina, M. Nina, and lvaro Oliveira. Smart campus - building-user interaction towards energy efficiency through ict-based intelligent energy management systems. In European Project Space on Information and Communication Systems - EPS Barcelona, , pages 11–30. INSTICC, ScitePress, 2014

    work page 2014

  36. [36]

    Mylonas, D

    G. Mylonas, D. Amaxilatis, I. Chatzigiannakis, A. Anagnostopoulos, and F. Paganelli. Enabling sustainability and energy awareness in schools based on iot and real-world data. IEEE Pervasive Computing, 17(4):53–63, 2018

    work page 2018

  37. [37]

    Mylonas, D

    G. Mylonas, D. Amaxilatis, H. Leligou, T. B. Zahariadis, E. Zacharioudakis, J. Hofstaetter, A. Friedl, F. Paganelli, G. Cuffaro, and J. Lerch. Addressing behavioral change towards energy efficiency in european educational buildings. In Global Internet of Things Summit, GIoTS 2017, Geneva, Switzerland, June 6-9, 2017 , pages 1–6. IEEE, 2017

    work page 2017

  38. [38]

    T. G. Papaioannou, D. Kotsopoulos, C. Bardaki, S. Lounis, N. Dimitriou, G. Boultadakis, A. Garbi, and A. Schoofs. Iot-enabled gamification for energy conservation in public buildings. In Global Internet of Things Summit, GIoTS 2017, Geneva, Switzerland, June 6-9, 2017 , pages 1–6. IEEE, 2017

    work page 2017

  39. [39]

    Petrioli, J

    C. Petrioli, J. Potter, and R. Petroccia. Sunrise sensing, monitoring and actuating on the underwater world through a federated research infrastructure extending the future internet. In Proceedings of EMSO 2013, Rome, Italy, November, 17 2013. Demo also presented

    work page 2013

  40. [40]

    Pierce and E

    J. Pierce and E. Paulos. Materializing energy. In Proceedings of the 8th ACM Conference on Designing Interactive Systems , pages 113–122. ACM, 2010

    work page 2010

  41. [41]

    Pocero, D

    L. Pocero, D. Amaxilatis, G. Mylonas, and I. Chatzigiannakis. Open source iot meter devices for smart and energy-efficient school buildings. HardwareX, 2017

    work page 2017

  42. [42]

    Schelly, J

    C. Schelly, J. E. Cross, W. S. Franzen, P. Hall, and S. Reeve. How to go green: Creating a conservation culture in a public high school through education, modeling, and communication. Journal of Environmental Education , 43(3):143–161, 2012

    work page 2012

  43. [43]

    W. Sun, Q. Li, and C. K. Tham. Wireless deployed and participatory sensing system for environ- mental monitoring. In 2014 Eleventh Annual IEEE International Conference on Sensing, Commu- nication, and Networking (SECON) , pages 158–160, June 2014. 13

    work page 2014

  44. [44]

    Tziortzioti, D

    C. Tziortzioti, D. Amaxilatis, I. Mavrommati, and I. Chatzigiannakis. Iot sensors in sea water envi- ronment: Ahoy! experiences from a short summer trial. Electronic Notes in Theoretical Computer Science, 343:117 – 130, 2019. The proceedings of AmI, the 2018 European Conference on Ambient Intelligence

    work page 2019

  45. [45]

    Tziortzioti, G

    C. Tziortzioti, G. Andreetti, L. Rodin` o, I. Mavrommati, A. Vitaletti, and I. Chatzigiannakis. Raising awareness for water polution based on game activities using internet of things. In A. Kameas and K. Stathis, editors, Ambient Intelligence, pages 171–187, Cham, 2018. Springer International Publishing

    work page 2018

  46. [46]

    Tziortzioti, I

    C. Tziortzioti, I. Mavrommati, G. Mylonas, A. Vitaletti, and I. Chatzigiannakis. Scenarios for educa- tional and game activities using internet of things data. In 2018 IEEE Conference on Computational Intelligence and Games (CIG) , pages 1–8, Aug 2018. 14

    work page 2018