By employing learning analytics methodology and big data in Learning Management Systems (LMSs), this volume conducts data-driven research to identify and compare learner interaction patterns in Massive Private Online Courses (MPOCs).
The uncertainties about the temporal and sequential patterns of online interaction, and the lack of specific knowledge and methods to investigate details of LMSs' dynamic interaction traces have affected the improvement of online learning effectiveness. While most research focuses on Massive Open Online Courses (MOOCs), little is investigating the learners’ interaction behaviors in MPOCs. This book attempts to fill in the gaps by including research in the past decades, big data in education presenting micro-level interaction traces, analytics-based learner interaction in massive private open courses, and a case study.
Aiming to bring greater efficiency and deeper engagement to individual learners, instructors, and administrators, the title provides a reference to those who need to evaluate their learning and teaching strategies in online learning. It will be particularly useful to students and researchers in the field of Education.
Author(s): Di Sun, Gang Cheng
Publisher: Routledge
Year: 2022
Language: English
Pages: 108
City: London
Cover
Half Title
Title Page
Copyright Page
Contents
Figures
Tables
Acknowledgements
Introduction
References
1. Online Learning Needs Learning Analytics
The Importance of Learner Interaction in Online Learning
The Limitations of Traditional Interaction Research in Online Learning
The Utility of Attaching Importance to LMS Log Data
The Need for Applying Academically Sound Methods to Investigate Interaction Patterns
The Paucity of Learner Interaction Research in MPOCs
Definition of Key Terms
References
2. Traditional Learner Interaction Research in Online Learning
Online Learner Interaction Theory
Learner-Content Interaction
Learner-Instructor Interaction
Learner-Learner Interaction
Learner-Interface Interaction
Traditional Research on Online Interaction
Research Related to Learner-Content Interaction
Research Related to Learner-Instructor Interaction
Research Related to Learner-Learner Interaction
Research Related to Learner-Interface Interaction
Discussion
References
3. LMS Log Data Presenting Interaction Traces
Two Types of Interaction Data Recorded by LMSs
Temporal and Sequential Characteristics of Interaction Events
References
4. Interaction Research with Learning Analytics
Learning Analytics Methodology
Interaction Research with Data from Discourse, Video, and Brainwave
Interaction Research with Log Data
Interaction Research with Log Data in Particular Topics
Discussion
References
5. Massive Private Open Courses
MOOCs vs MPOCs
Comparative Research of Interaction Patterns, the Lack of MPOCs
Summary
References
6. Research Design of a MPOCs Case
Background and Research Questions
Participants and Data Collection
Data Pre-processing and Analysis
HMMs Measures
HMMs Procedures
Note
References
7. Results and Discussion Based on the Case
Interpretations of HMMs Results
HMMs of High-Achievement Group in Learning Weeks
HMMs of Low-Achievement Group in Learning Weeks
HMMs of High-achievement Group in Exam Weeks
HMMs of Low-Achievement Group in Exam Weeks
Answers for the Research Questions
Research Question 1: High-Learning V.S. Low-Learning
Research Question 2: High-Exam V.S. Low-Exam
Research Question 3: High-Learning V.S. High-Exam
Research Question 4: Low-Learning V.S. Low-Exam
Discussions Based on Four Research Questions
References
8. Reflection and Consideration
Implications for MPOCs
Reflections of the Paradigm Shift of the Research Method
Limitations and Future Plans
References
Index
