Piliouras, T., & Wu, M., & Crasto, S. N., & Yu, P. L. R., & Gupta, N. (2023, June), An Evidence-Based Approach for Deeper Understanding of Student, Teacher, and Learning Dynamics  Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--42615

\bibitem{asee_peer_42615}
  Piliouras, T., \& Wu, M., \& Crasto, S. N., \& Yu, P. L. R., \& Gupta, N. (2023, June), \emph{An Evidence-Based Approach for Deeper Understanding of Student, Teacher, and Learning Dynamics}
  Paper presented at 2023 ASEE Annual Conference \& Exposition, Baltimore , Maryland.
  10.18260/1-2--42615

Teresa Piliouras, Mengqian Wu, Steffi N. Crasto, Pui Lam (Raymond) Yu, and Navarun Gupta.  "An Evidence-Based Approach for Deeper Understanding of Student, Teacher, and Learning Dynamics".  2023 ASEE Annual Conference & Exposition, Baltimore , Maryland, 2023, June.  ASEE Conferences, 2023.  https://peer.asee.org/42615 Internet.  11 May, 2024

\bibitem{asee_peer_42615}
  Teresa Piliouras, Mengqian Wu, Steffi N. Crasto, Pui Lam (Raymond) Yu, and Navarun Gupta.
  "An Evidence-Based Approach for Deeper Understanding of Student, Teacher, and Learning Dynamics".
  \emph{2023 ASEE Annual Conference \& Exposition, Baltimore , Maryland, 2023, June}.
  ASEE Conferences, 2023.
  https://peer.asee.org/42615 Internet.  11 May, 2024

@INPROCEEDINGS{asee_peer_42615
author = "Teresa Piliouras, Mengqian Wu, Steffi N. Crasto, Pui Lam (Raymond) Yu, and Navarun Gupta"
title = "An Evidence-Based Approach for Deeper Understanding of Student, Teacher, and Learning Dynamics"
booktitle = "2023 ASEE Annual Conference \& Exposition"
year = "2023"
month = "June"
address = "Baltimore , Maryland"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/42615}
number = {10.18260/1-2--42615}
}

TY  - CPAPER
AB  - Abstract. Learning Management System (LMS) technology, and a Customer Relationship Management (CRM) perspective, can deepen understanding of the dynamics between students, teachers, and their learning environment. In addition to content delivery, LMS technology can capture data about students while they are taking classes. This capability provides a way to gather data on factors impacting student learning so they can be analyzed scientifically. Learning Management Systems are widely used in a variety of learning settings – high school, college, and workplace – and can be adapted to introduce a CRM perspective into the classroom.

Broad adoption of LMS and CRM technology requires a paradigm shift towards a student-centric model of education – and vice versa. This paper offers theoretical and practical suggestions to get started with this shift in mindset: i) using Activity Theory to create a descriptive framework to anchor and highlight interrelationships between students, teachers, and their learning environment; ii) managing the LMS-CRM system development process; iii) implementing a CRM perspective with LMS technology; iv) generating LMS and CRM-collected course statistics to support Instructional Design frameworks, such as ADDIE (Analysis, Design, Development, Implementation, and Evaluation) and others; and v) challenges and limitations using LMS and CRM technology.

AU  - Teresa Piliouras
AU  - Mengqian Wu
AU  - Steffi N. Crasto
AU  - Pui Lam (Raymond) Yu
AU  - Navarun Gupta
CY  - Baltimore , Maryland
DA  - 2023/06/25
PB  - ASEE Conferences
TI  - An Evidence-Based Approach for Deeper Understanding of Student, Teacher, and Learning Dynamics
UR  - https://peer.asee.org/42615
DO  - 10.18260/1-2--42615
ER  -