The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Student engagement as a function of environmental complexity in high school classrooms
Open accessAbstract
The purpose of this study was to investigate the linkage between the quality of the learning environment and the quality of students' experience in seven high school classrooms in six different subject areas. The quality of the learning environment was conceptualized in terms of environmental complexity, or the simultaneous presence of environmental challenge and environmental support. The students (N = 108) in each class participated in the Experience Sampling Method (ESM) measuring their engagement and related experiential variables. Concurrently, environmental complexity and its subdimensions were observed and rated from video with a new observational instrument, The Optimal Learning Environments – Observational Log and Assessment (OLE-OLA). Using two-level HLM regression models, ratings from the OLE-OLA were utilized to predict student engagement and experiential variables as measured by the ESM. Results showed that environmental complexity predicted student engagement and sense of classroom self-esteem. Implications for research, theory and practice are discussed.
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Cited by
Complex Systems Research in Educational Psychology: Aligning Theory and Method
Hilpert, J. C., & Marchand, G. C. (2018) · Educational Psychologist · doi:10.1080/00461520.2018.1469411 · Cited by 325
Murillo-Zamorano, L. R., López Sánchez, J. Á., & Godoy-Caballero, A. L. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.103608 · Cited by 312
Li, J., & Xue, E. (2023) · Behavioral Sciences · doi:10.3390/bs13010059 · Cited by 280
Engagement as an inherent aspect of the learning process
Boekaerts, M. (2016) · Learning and Instruction · doi:10.1016/j.learninstruc.2016.02.001 · Cited by 217
Cents-Boonstra, M., Lichtwarck-Aschoff, A., Denessen, E., Aelterman, N., & Haerens, L. (2021) · Research Papers in Education · doi:10.1080/02671522.2020.1767184 · Cited by 216
Metadata
- Authors
- Shernoff, D. J., Kelly, S., Tonks, S. M., Anderson, B., Cavanagh, R. F., Sinha, S., & Abdi, B.
- Venue
- Learning and Instruction
- Publisher
- Elsevier BV
- Published
- 2016-06
- Volume
- 43
- Pages
- 52-60
- ISSN
- 0959-4752 (ISSN-L)
- OpenAlex
- W2239165312
- Cited by
- 264
- References
- 67
- FWCI
- 117.96
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
