Mutlu Cukurova

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Systematic investigation of the collaborative problem solving process in open-ended, hands-on, physical computing design tasks requires a framework that highlights the main process features, stages and actions that then can be used to provide 'meaningful' learning analytics data. This paper presents an analysis framework that can be used to identify crucial(More)
Project Based Learning is a complex concept that is related to Problem Based Learning and Collaborative Problem Solving. These latter concepts are well represented in the literature by models and frameworks that can usefully be adapted to develop a framework for the analysis of Project Based Learning. We present such a framework that has been designed for(More)
Practice-based learning activities are an important aspect of education, particularly for science, technology, engineering and mathematics (STEM) subjects. Their immense importance to STEM curricula is unequivocal and so are the teachers' and students' need for support during those activities. However, considering the open-ended and hands-on nature of(More)
In this paper, we pose the question, can the tracking and analysis of the physical movements of students and teachers within a Practice-Based Learning (PBL) environment reveal information about the learning process that is relevant and informative to Learning Analytics (LA) implementations? Using the example of trials conducted in the design of a LA system,(More)
This poster explores how to develop a working framework for STEM education that uses both human annotated and machine data across a purpose-built learning environment. Our dual approach is to develop a robust framework for analysis and investigate how to design a learning analytics system to support hands-on engineering design tasks. Data from the first(More)
Multimodal Learning Analytics (MMLA) captures, integrates and analyzes learning traces from different sources in order to obtain a more holistic understanding of the learning process, wherever it happens. MMLA leverages the increasingly widespread availability of diverse sensors, high-frequency data collection technologies and sophisticated machine learning(More)
Preface By encouraging interaction, exploration and experimentation in environments that directly represent the domain to the learner, Exploratory Learning Environments (ELE) adhere to constructivist theories of learning that emphasize learners' control to construct their own understanding. More generally, Open-ended Learning Environments (OLEs) offer(More)
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