This study investigates the effectiveness of Padlet, a technology-enhanced tool, that supports collaborative and personalized learning, and its success in meeting specific learning outcomes and course objectives. We developed a framework that synthesizes the learning characteristics of technology-enabled collaborative and personalized learning, integrating the strengths of both learning modes. Unlike other studies which typically focus on a single discipline, our framework is evaluated with the use of Padlet across four university courses, spanning three disciplines (Information Systems, Economics and Law). Survey results showed that Padlet enhanced both learning types and achieved the desired outcomes. Linear regression analysis underscored Padlet's effectiveness in facilitating collaborative learning through its aesthetics and user-friendly interface, allowing effortless organization, viewing, and commenting on posts. Interestingly, the results also suggest that male students perceived Padlet as useful for collaboration to a greater degree than female students. As one of the few interdisciplinary investigations into Padlet’s effectiveness, this paper contributes to the existing literature. It is also the first to assess, explicitly, Padlet's effectiveness in facilitating both collaborative and personalized learning, and to propose a framework synthesizing both approaches, which can guide future research on other technological tools.

Authors:
Bei Hong, Singapore Management University, Singapore
Yi Meng Lau, Singapore Management University, Singapore
Wee Ling Loo, Singapore Management University, Singapore
Yuanto Kusnadi, Singapore Management University, Singapore

About the Presenter(s)
Dr Bei Hong is a University Associate Professor/Senior Lecturer at Singapore Management University in Singapore

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