Learner-Generated Visualizations and Their Evaluation:
A Generative Learning Perspective
Frank Cerreto
Stockton University, USA
Jung Lee
Stockton University, USA
Abstract
According to the generative learning model, learning with understanding is a generative process. During this process, humans construct meanings by creating mental structures to store and retrieve new information and building processes to relate new information to prior knowledge. This article provides a theoretical framework of learner-generated visualizations from text through the lens of generative learning and discusses the evaluation of student-generated work, movie trailers. Once students generate their own visualizations, evaluating their products is complex. To facilitate this evaluation, we adapted Richard Mayer’s SOI Model (Select, Organize, and Integrate) describing the cognitive stages involved in generative learning in multimedia development. The application of the model to the evaluation of student work and an analysis of student reflections is discussed.
Keywords: Movie Trailer, Generative Learning, SOI model