#4355

Presentation

Triangulating Assessment with Cloud-Based Tools for Collaborative Learning

Time not set

This presentation showcases how cloud computing can streamline multifaceted assessment (instructor, self, and peer) for group and individual language learning activities, such as oral presentations. Traditional reliance on instructor-only evaluation often overlooks collaborative dynamics and ignores other feedback opportunities. Peer and self evaluations augment the saliency and legitimacy of the assessment of students’ efforts. Moreover, they provide a useful means for instructors to determine whether students are perceiving the requirements of a given assignment such as the instructor envisioned. Using Google Workspace (Forms, Sheets, Drive), we will demonstrate a practical system to collect, weigh, and analyze diverse feedback sources efficiently. Rubrics guide peer and self-assessments, while Sheets calculate weighted scores, ensuring fairness and transparency. Drawing from our tertiary-level experience, we will share strategies to process data meaningfully, showing which inputs best reflect student achievement. Our presentation will explain and demonstrate a technology-enabled approach that aims to triangulate assessment and enhance feedback’s educational impact. We will demonstrate how to use cloud tools to create multi-faceted feedback from the perspectives of the teacher and peers, and how to deliver this on a timely basis. Participants will explore hands-on templates and leave with actionable insights to refine assessment practices in their classrooms.

  • George MacLean

    George MacLean is a professor at the University of the Ryukyus. He has taught at primary-junior high and university levels in Japan and in the international school system. His research interests include SLA and ICT implementation. He is active in the Japan Association of Language Teachers (JALT) at a local and national level, and regularly presents at national and international language teaching and technology events.

  • Norman Fewell

    Norman Fewell has been teaching English at several universities in Japan for the past thirty years. He is a professor of applied linguistics and TESOL in the Department of International Cultural Studies at Meio University. His current research interests are peer feedback and assessment, and multimodal collaborative language learning.