Velu, S., & Gangathulasi, J., & KSA, D. K., & Sankayya, M. (2023, June), Design of self-regulated learning framework for professional development program through Learning Analytics  Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--42957

\bibitem{asee_peer_42957}
  Velu, S., \& Gangathulasi, J., \& KSA, D. K., \& Sankayya, M. (2023, June), \emph{Design of self-regulated learning framework for professional development program through Learning Analytics}
  Paper presented at 2023 ASEE Annual Conference \& Exposition, Baltimore , Maryland.
  10.18260/1-2--42957

Shanmuganeethi Velu, Janardhanan Gangathulasi, Dinesh Kumar KSA, and Muthuramalingam Sankayya.  "Design of self-regulated learning framework for professional development program through Learning Analytics".  2023 ASEE Annual Conference & Exposition, Baltimore , Maryland, 2023, June.  ASEE Conferences, 2023.  https://peer.asee.org/42957 Internet.  16 Apr, 2025

\bibitem{asee_peer_42957}
  Shanmuganeethi Velu, Janardhanan Gangathulasi, Dinesh Kumar KSA, and Muthuramalingam Sankayya.
  "Design of self-regulated learning framework for professional development program through Learning Analytics".
  \emph{2023 ASEE Annual Conference \& Exposition, Baltimore , Maryland, 2023, June}.
  ASEE Conferences, 2023.
  https://peer.asee.org/42957 Internet.  16 Apr, 2025

@INPROCEEDINGS{asee_peer_42957
author = "Shanmuganeethi Velu, Janardhanan Gangathulasi, Dinesh Kumar KSA, and Muthuramalingam Sankayya"
title = "Design of self-regulated learning framework for professional development program through Learning Analytics"
booktitle = "2023 ASEE Annual Conference \& Exposition"
year = "2023"
month = "June"
address = "Baltimore , Maryland"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/42957}
number = {10.18260/1-2--42957}
}

TY  - CPAPER
AB  - Integrating instructional design and educational technology into learning principles shifts the role of the learners and adds a new dimension to Learning Design (LD). The learning design is the logical framework that creates a path for self-regulated learning (SRL) in the hybrid mode. Capturing the learners' details is a critical functionality for preparing the learners' logical learning path. Learning analytics (LA) would provide instructors with critical information that would support the learning design and improve training practice. Capturing learner data and performing learning analytics is a complex process in professional development programmes.  In this paper, a dynamic logical framework is proposed to capture the learner data and provide a better SRL path for the trainees in the professional development programme. In this work, the MOODLE learning management system is used to collect learner data, which is then fed into learning analytics to better understand the various trainee’s characteristics. The proposed framework will group the trainees using the clustering algorithm based on the learning analytics. Each cluster is examined in order to provide a better training path and instructional materials through an appropriate learning design. During the professional development programme, the trainee's learning and learning experiences are analyzed, and the output of assessment data is periodically provided into the framework, which dynamically moves the trainee from one cluster to another to provide a suitable training path. The impact of the proposed framework is assessed through indirect assessment strategy, and the trainee is informed about their level of learning outcome from their professional development programme.
AU  - Shanmuganeethi Velu
AU  - Janardhanan Gangathulasi
AU  - Dinesh Kumar KSA
AU  - Muthuramalingam Sankayya
CY  - Baltimore , Maryland
DA  - 2023/06/25
PB  - ASEE Conferences
TI  - Design of self-regulated learning framework for professional development program through Learning Analytics
UR  - https://peer.asee.org/42957
DO  - 10.18260/1-2--42957
ER  -