Dynamic Interaction Model of E-Learning Readiness, Self-Regulated Learning, and Student-Student Dialogue to Assess E-Learning Efetive-Ness

EasyChair Preprint no. 10566

Abstract

Since the late 1990s, a significant learning management systems (LMS) research stream has included reviewing and analyzing existing online readiness surveys. A substantial portion of the current research examined (1) the number of factors in e-learning readiness, (2) the number of items/indicators in each factor, and (3) empirically tested the relationships among predefined factors and indicators. This paper attempts to answer two following research questions. How has the online learning readiness (OLR) research stream changed over the past decades? Does our contemporary OLR research address relevant topics that can affect the current online learner's success?

This paper expanded the domain of e-learning readiness research to replace SDL with  SRL and to add dialogues (student-student and student-instructor) variables into a new research domain. We present a dynamic interaction model of e-learning readiness, SRL, and student-student dialogue to assess e-learning effectiveness. By integrating SRL and student-student dialogue, this study empirically tested a model of the effectiveness of LMS. The research model is tested using WarpPLS (version 8), which is the structural equation modeling (SEM)-based Partial Least Squares (PLS) methodology. It provided statistically significant evidence to suggest that students' readiness for e-learning significantly affected three areas: self-regulated learning (H1), learning effectiveness (H2), and student-student dialogue (H3).

Keyphrases: Critical Success Factors (CSF), distance learning, effectiveness, learner readiness, Learning Management Systems (LMS), user satisfaction

@Booklet{EasyChair:10566,
  author = {Sean Eom},
  title = {Dynamic Interaction Model of E-Learning Readiness, Self-Regulated Learning, and Student-Student Dialogue to Assess E-Learning Efetive-Ness},
  howpublished = {EasyChair Preprint no. 10566},

  year = {EasyChair, 2023}}