A Self-Regulated Learning Approach: A Mobile Context-aware and Adaptive Learning Schedule (mCALS) Tool

Abstract

Abstract—Self-regulated students are able to create andmaximize opportunities they have for studying or learning.We combine this learning approach with our MobileContext-aware and Adaptive Learning Schedule (mCALS)tool which will create and enhance opportunities forstudents to study or learn in different locations. Thelearning schedule is used for two purposes, a) to helpstudents organize their work and facilitate timemanagement, and b) for capturing the users’ activitieswhich can be retrieved and translated as learning contextslater by our tool. These contexts are then used as a basis forselecting appropriate learning materials for the students.Using a learning schedule to capture and retrieve contexts isa novel approach in the context-aware mobile learning field.In this paper, we present the conceptual model andpreliminary architecture of our mCALS tool, as well as ourresearch questions and methodology for evaluating it. Thelearning materials we intend to use for our tool will be Javafor novice programmers. This is appropriate because largeamounts of time and motivation are necessary to learn anobject-oriented programming language such as Java, andwe are currently seeking ways to facilitate this for noviceprogrammers