The DOI matches its Crossref record; 91 of the 91 references it cites were found in a registry or an index.
Mobile technology, learning, and achievement: Advances in understanding and measuring the role of mobile technology in education
Abstract
Abstract Studying mobile learning – the use of personal electronic devices to engage in learning across multiple contexts via connections to media, educators, peers, experts, and the larger world – is a relatively new academic enterprise. In this special issue, we interrogated the promise and unexamined expectations of mobile learning, the theories and ideas developing around it, and the devices that afford it. The articles introduce mobile and wearable technologies as key components of empirical research and demonstrate ways that learning conducted with such devices (1) affects the process and products of learning via interactions with other psychological constructs; (2) affords new opportunities to directly influence learning process or outcomes; and (3) provides opportunities to collect previously unobtainable data that improve understanding and modeling of the learning process. In this introduction, we overview the emergence of mobile learning theory and its contemporary conceptualization. Then we highlight ways that mobile technologies can be used to enhance learning processes and an understanding of them. All special issue contributors conceptualize and align their work with both psychological theories of learning and instruction as well as emerging theories of mobile learning. The commentary authors appraise mobile learning research critically and analytically, and recommend ways mobile learning theory might build upon research methodology and knowledge grounded empirically in psychological and sociocultural theories of learning. Overall, we believe this special issue achieved our goal to produce a balanced consideration that highlights the advancements in learning and learning theory mobile devices might afford, and to temper any premature enthusiasm about these potential benefits.
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Cited by
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Artificial intelligence and school leadership: challenges, opportunities and implications
Fullan, M., Azorín, C., Harris, A., & Jones, M. (2024) · School Leadership & Management · doi:10.1080/13632434.2023.2246856 · Cited by 224
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Metadata
- Authors
- Bernacki, M. L., Greene, J. A., & Crompton, H.
- Venue
- Contemporary Educational Psychology
- Publisher
- Elsevier BV
- Published
- 2020-01
- Volume
- 60
- Pages
- 101827
- ISSN
- 0361-476X (ISSN-L)
- OpenAlex
- W2990247485
- Cited by
- 484
- References
- 91
- FWCI
- 45.61
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
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- Bernacki, M. L., Greene, J. A., & Crompton, H. (2020). Mobile technology, learning, and achievement: Advances in understanding and measuring the role of mobile technology in education. Contemporary Educational Psychology. https://doi.org/10.1016/j.cedpsych.2019.101827
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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.