M-learning in the COVID-19 era: physical vs digital class.

Area of Science:

• Educational Technology
• Human-Computer Interaction
• Digital Learning

Background:

• Emerging technologies like the Internet of Things and smartphones have revolutionized various sectors, including education.
• Mobile learning (m-learning) has evolved from early feature phone limitations to smartphone-driven transformations.
• The COVID-19 pandemic accelerated the growth of intelligent tutoring systems and online courses via social networks.

Purpose of the Study:

• To present key research parameters in m-learning over the past decade.
• To introduce a novel empirical study within the m-learning domain.
• To explore the utilization of educational data for enhancing digital classroom interaction.

Main Methods:

• Review of significant m-learning research parameters from the last ten years.
• Inclusion of a novel empirical study focused on mobile learning applications.
• Analysis of educational data to identify improvements for human interaction in digital classrooms.

Main Results:

• Identification of critical research trends and parameters in m-learning.
• Empirical evidence from a new study on the effectiveness of mobile learning strategies.
• Insights into leveraging educational data to foster better engagement in online learning environments.

Conclusions:

• Mobile learning is a rapidly evolving field with significant potential to reshape education.
• Further research and empirical studies are crucial for optimizing m-learning strategies.
• Utilizing educational data effectively can enhance human interaction and learning outcomes in digital classrooms.