---
title: "Developing instructor training for diverse & scaled contexts: A learning engineering challenge"
description: "eLmL 2022: The 14th International Conference on Mobile, Hybrid, and Online Learning"
---

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# Developing instructor training for diverse & scaled contexts: A learning engineering challenge

## Abstract

Learning engineering provides both a practice and process for solving educational challenges. While the circumstances of each challenge require a unique application of learning engineering, the learning engineering process was designed in such a way to provide guidance across a broad range of contexts. In this paper, the learning engineering process is articulated from the perspective of the developers of online courseware used in higher education. Within this use-case, we exemplify how an initial learning engineering process for the creation of the courseware provided a starting point for iteration, and in this instance, the beginning of an entirely new process on instructor enactment of that courseware. Whereas the initial challenge was to develop the courseware environment, this emergent challenge now focuses on understanding and addressing contextual factors that affect the successful instructor application of the courseware learning environment at scale. 

[Read Publication](https://www.thinkmind.org/index.php?view=article&articleid=elml_2022_2_40_58010)

##### Date

June 26, 2022

##### Authors

- Rachel Van Campenhout
- Aaron Kessler

##### Research Areas

[Teaching & Learning](https://research.vitalsource.com/publications/tag/teaching-learning) [Learning Engineering](https://research.vitalsource.com/publications/tag/learning-engineering)

##### Venue

 The Fourteenth International Conference on Mobile, Hybrid, and On-line Learning

##### Citation

 Van Campenhout, R., & Kessler, A. (2022). Developing instructor training for diverse and scaled contexts: A learning engineering challenge. *Proceedings of eLmL 2022: The Fourteenth International Conference on Mobile, Hybrid, and On-line Learning*, 29–34. IARIA.   
[https://www.thinkmind.org/index.php?view=article&articleid=elml_2022_2_40_58010](https://www.thinkmind.org/index.php?view=article&articleid=elml_2022_2_40_58010)

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