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A conceptual framework for designing smart learning environments
Open accessAbstract
The paper deals with the design of Smart Learning Environments (SLEs). Over and above that, it’s about the interconnection between SLEs and the internet of things. With the question of how an interdisciplinary approach can contribute to the design of SLEs together with the disciplines of education, computer science and architecture the study empirically applies data collected in 2016. The empirical research was initiated by consolidating the findings from transdisciplinary analyses of the literature in a hypothetical model for designing SLEs. This model pooled success factors from different spheres of influence and served as a tool for empirical research. A triangulation was used for facilitating a model-validation in the context of 7 expert interviews, 7 questionnaires as well as a workshop with training experts. The data analysis resulted in the development of a holistic, socio-technical framework.
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Design Science in Information Systems Research1
Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004) · MIS Quarterly · doi:10.2307/25148625 · Cited by 10,707
Research works printed but not linked: 30
- E. Aarts, R.S. Harwig, in The invisible future: The seamless integration of technology in everyday life. Ambient intelligence (2002), pp. 235–250
- M. Ashcraft, G. Radvansky, Cognition (Pearson Education, UpperSaddleRiver, 2010)
- P. Brusilovsky, C. Peylo, Adaptive and intelligent web-based educational systems. Int. J. Artif. Intell. Educ (IJAIED). 13, 159–172 (2003) · DOI
- M. G. Domingo, Forner, J. A. M. Expanding the Learning Environment: Combining Physicality and Virtuality - The Internet of Things for eLearning (S. 730–731). IEEE. (2010) https://doi.org/10.1109/ICALT.2010.211 · DOI
- S. Doorley, S. Witthoft, Make Space: How to Set the Stage for Creative Collaboration (John Wiley & Sons, Hoboken, N.J, 2012)
- M. Ebner, S. Schön, BIMS, Lehrbuch für Lernen und Lehren mit Technologien: [L3T] ([Stand:] Mai 2011) (Books on Demand, Norderstedt, 2011)
- O. Eigenbrod, R. Stang, Formierungen von Wissensräumen: Optionen des Zugangs zu Information und Bildung (De Gruyter Saur, Berlin; Boston, 2014) · DOI
- J. Erpenbeck, W. Sauter, So werden wir lernen! Kompetenzentwicklung in einer Welt fühlender Computer, kluger Wolken und sinnsuchender Netze (Springer Berlin Heidelberg, Berlin, Heidelberg, 2013) · DOI
- J. Erpenbeck, W. Sauter, Kompetenzentwicklung mit humanoiden Computern. Die Revolution des Lernens via Cloud Computing und semantischen Netzen (Springer Fachmedien Wiesbaden, Wiesbaden, 2015) · DOI
- D. Estrin, D. Culler, K. Pister, G. Sukhatme, Connecting the physical world with pervasive networks. IEEE Pervasive Computing 1(1), 59–69 (2002) · DOI
- J. Gómez, J.F. Huete, O. Hoyos, L. Perez, & D. Grigori, Interaction System based on Internet of Things as Support for Education. Procedia Computer Science, 21, 132–139 (2013). Accessed 19 Nov. 2016, https://doi.org/10.1016/j.procs.2013.09.019 . · DOI
- B. Gros, The design of smart educational environments. Smart Learning Environments 3(1) (2016). https://doi.org/10.1186/s40561-016-0039-x · DOI
- G.-J. Hwang, Definition, framework and research issues of smart learning environments - a context-aware ubiquitous learning perspective. Smart Learning Environments 1(1) (2014). https://doi.org/10.1186/s40561-014-0004-5 · DOI · Paper page
- S. Kanagarajan, S. Ramakrishnan, Ubiquitous and ambient intelligence assisted learning environment infrastructures development - a review. Educ. Inf. Technol. (2017) https://doi.org/10.1007/s10639-017-9618-x · DOI
- M. Kerres. E-Learning vs. Digitalisierung der Bildung: Neues Label oder neues Paradigma? In: A. Hohenstein, & K. Wilbers (Hrsg.) Handbuch E-Learning, Köln: Fachverlag Deutscher Wirtschaftsdienst, Ergänzungslieferung, ISBN 978-3-87156-298-3, 61 (2016)
- J.H. Knoll, Architektur und Erwachsenenbildung, in Internationales Jahrbuch der Erwachsenenbildung 23, (Böhlau, Köln, 1995) · DOI
- C. Kohls, G. Münster, in Bildungsräume 2017 (S. 39–50), ed. by C. Igel, C. Ullrich, W. Martin. Hybride Lernräume für Innovationsprozesse (Gesellschaft für Informatik, Bonn, 2017)
- R. Koper, Conditions for effective smart learning environments. Smart Learning Environments 1(1), 1–17 (2014) · DOI · Paper page
- C.-U. Lei, K. Wan, K.L. Man, Developing a smart learning environment in universities via cyber-physical systems. Procedia Computer Science 17, 583–585 (2013) https://doi.org/10.1016/j.procs.2013.05.075 · DOI
- U. Lucke, C. Rensing, A survey on pervasive education. Pervasive and Mobile Computing 14, 3–16 (2014) · DOI
- F. Mattern, E. Fleisch, Das Internet der Dinge. Ubiquitous Computing und RFID in der Praxis: Visionen, Technologien, Anwendungen, Handlungsanleitungen. (Springer-Verlag, Berlin Heidelberg, 2005) · DOI
- P. Mayring, Qualitative Inhaltsanalyse. Handbuch qualitative Forschung in der Psychologie, 601–613Sesink, W. (2007). Raum und Lernen. Education Permanente. Schweizerische Zeitschrift für Weiterbildung 41(1), 16–18 (2010) · DOI · Paper page
- J.M. Spector, Conceptualizing the emerging field of smart learning environments. Smart Learning Environments 1(1), 1–10 (2014) · DOI · Paper page
- W. Sesink, Raum und Lernen. Education Permanente. Schweizerische Zeitschrift für Weiterbildung, 41(1), 16–18 (2007).
- H. Stachowiak, Allgemeine Modelltheorie. (Springer-Verlag, Wien, New York, 1973) · DOI
- A. Uzelac, N. Gligoric, S. Krco, A comprehensive study of parameters in physical environment that impact students’ focus during lecture using internet of things. Comput. Hum. Behav. 53, 427–434 (2015) · DOI
- O. Vermesan, Friess, P. Building the Hyperconnected Society - Internet of Things Research and Innovation Value Chains, Ecosystems and Markets. (River Publishers, Aalborg, 2015)
- M. Weiser, The computer for the 21 st century. Sci. Am. 265(3), 94–105 (1991) · DOI · Paper page
- T. Winkler, F. Scharf, M. Herczeg, Ambiente Lernräume: Lernen mit vernetzten, interaktiven, körper- und raumbezogenen Medien. Informatik-Spektrum 37(5), 445–448 (2014) https://doi.org/10.1007/s00287-014-0817-1 · DOI
- Z.-T. Zhu, M.-H. Yu, P. Riezebos, A research framework of smart education. Smart Learning Environments 3(1) (2016). https://doi.org/10.1186/s40561-016-0026-2 · DOI · Paper page
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Metadata
- Authors
- Freigang, S., Schlenker, L., & Köhler, T.
- Affiliations
- Technische Universität Dresden (DE)
- Corresponding author
- Freigang, Sirkka
- Venue
- Smart Learning Environments
- Published
- 2018-10-24
- Volume
- 5
- Issue
- 1
- ISSN
- 2196-7091 (ISSN-L)
- OpenAlex
- W2898362519
- Cited by
- 52
- References
- 1
- Citations by year
- 2026: 5 · 2025: 2 · 2024: 8 · 2023: 6 · 2022: 6 · 2021: 11 · 2020: 9 · 2019: 5
- FWCI
- 16.26
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Smart Learning Environments (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Education › Educational Environments and Student Outcomes
- Social Sciences › Education › Education and Learning Interventions
- Physical Sciences › Computer Science › Information Systems › Engineering Education and Technology
- Keywords
- Internet of Things, design framework, interdisciplinary design, socio-technical framework, success factors, educational technology, design model validation
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