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Responsive Dashboard as a Component of Learning Analytics System for Evaluation in Emergency Remote Teaching
Emilia Corina Corbu1, Eduard Edelhauser2
1Department of Mathematics and Informatics, University of Petrosani, 332003 Petrosani, Romania.
The study introduces a new model for evaluating online teaching and assessment, the Learning Analytics and Evaluation Model (LAEM), and a supporting software tool, EvalMathI. This system helps address challenges in emergency remote teaching and optimizes online course evaluation.
Area of Science:
- Educational Technology
- Learning Analytics
- Online Education
Background:
- The COVID-19 pandemic necessitated a rapid shift to online teaching and evaluation, creating significant challenges for educational institutions, instructors, and students.
- Emergency remote teaching (ERT) highlighted the need for robust systems to evaluate online educational processes effectively.
Purpose of the Study:
- To develop a comprehensive model for evaluating online teaching and assessment processes, termed the Learning Analytics and Evaluation Model (LAEM).
- To validate a novel software instrument, the EvalMathI system, designed to support the LAEM and address ERT challenges.
- To assess the influence of online education during the COVID-19 pandemic on the overall educational process.
Main Methods:
- Development and validation of the Learning Analytics and Evaluation Model (LAEM).
- Design, testing, and integration of the EvalMathI software system with a responsive dashboard.
- Monitoring six online courses across two academic years (2019/2020, 2020/2021) using the EvalMathI dashboard.
- Analysis of curriculum components (content, adaptability, skills, involvement) and data collection via interview guides.
Main Results:
- The EvalMathI system, integrated with a dashboard, effectively monitored and evaluated online courses, providing insights into curriculum components.
- Data analysis revealed the impact of online education during the pandemic on various aspects of the educational process.
- The developed LAEM and associated software tools offered solutions to problems encountered in emergency remote teaching environments.
Conclusions:
- The LAEM, supported by the EvalMathI system, provides an effective framework for evaluating online teaching and learning.
- The study demonstrates the utility of learning analytics and dedicated software in optimizing online education and addressing ERT challenges.
- The findings offer valuable insights for improving the quality and effectiveness of online education in crisis situations and beyond.
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