A Decision-Tree-Oriented Guidance Mechanism for Conducting Nature Science Observation Activities in a Context-Aware Ubiquitous Learning Environment

TLDR

A context‑aware ubiquitous learning environment offers authentic learning with personalized digital supports, yet researchers note challenges in delivering adaptive, dynamic support to individual students. The study develops a decision‑tree‑oriented mechanism to provide digital guidance for students to observe and classify real‑world objects in natural science courses. The mechanism was implemented in a fourth‑grade butterfly‑and‑ecology unit in Taiwan, engaging 42 students within a context‑aware ubiquitous learning environment. Surveys and interviews indicate the system positively impacted students’ affective learning, boosting participation, motivation, and interaction.

Abstract

A context-aware ubiquitous learning environment is an authentic learning environment with personalized digital supports. While showing the potential of applying such a learning environment, researchers have also indicated the challenges of providing adaptive and dynamic support to individual students. In this paper, a decision-treeoriented mechanism is developed for that purpose, enabling digital guidance for students to observe and classify real-world objects in the learning activities of natural science courses. To show the effectiveness of the innovative approach, a context-aware ubiquitous learning environment was implemented for the “butterfly and ecology” unit of a fourth-grade natural science course in Taiwan, and 42 students participated in the learning activity. From the surveys and interviews that were conducted to understand the functionalities of the system and the learning effectiveness for the students, the results show that the system had a positive impact on students’ learning, especially on the affective domain, including participation, motivation, and interaction.