
Interactive Tool in Digital Learning Ecosystem for Adaptive Online Learning Performance
Author(s) -
Tippawan Meepung,
Sajeewan Pratsri,
Prachyanun Nilsook
Publication year - 2021
Publication title -
higher education studies
Language(s) - English
Resource type - Journals
eISSN - 1925-475X
pISSN - 1925-4741
DOI - 10.5539/hes.v11n3p70
Subject(s) - computer science , adaptive learning , digital learning , educational technology , online learning , process (computing) , interactive learning , active learning (machine learning) , multimedia , artificial intelligence , psychology , mathematics education , operating system
The objective of this research was as follows: 1) to develop an interactive tool in a digital learning ecosystem for adaptive online learning performance; 2) to carry out a suitability assessment of this process. The documentary research method was used in this study. The results showed a model of an interactive tool in a digital learning ecosystem for adaptive online learning performance consisted of two phases. Phase 1: The development of an interactive tool in a digital learning ecosystem for adaptive online learning performance. This includes the following four design steps: 1) Reviewed literature and previous studies regarding an interactive tool, a digital learning ecosystem, and adaptive online learning performance to study the model, characteristics, and previous research. 2) Studied relevant research of an interactive tool in a digital learning ecosystem for adaptive online learning performance. 3) Designed an adaptive online learning performance model using an interactive tool in a digital learning ecosystem. 4) Developed a digital learning ecosystem. Phase 2: Evaluated the appropriateness of the interactive tool for an adaptive online learning performance model; this was checked for suitability by twelve experts and resulted in a conclusion. The results of the suitability evaluation revealed that the interactive tool for adaptive online learning performance was at the highest level.