Students in Focus -Moving Towards Human-Centred Learning Analytics (original) (raw)
2023, Practicable Learning Analytics
Human-centred design is a well-established approach within research fields such as human-computer interaction, ergonomics, and human factors. Recently Learning Analytics (LA) researchers and practitioners have manifested great interest in exploring methods and techniques associated with this approach to manage the design process in ways that can enhance human interaction with LA technology. The project "Learning Analytics-Students in Focus" aims to use student-related data to support the learning and teaching process in a higher educational context. Our interdisciplinary team investigates LA tools that leverage students' academic success by acquiring or developing self-regulated learning skills. We adopted a Human-Centred Learning Analytics (HCLA) approach involving students, teachers, and other educational stakeholders in the iterative design of our LA tools. This article contributes to the discussion on how to design LA tools using a human-centred approach. We describe the analysis, design, implementation, and evaluation process of three LA tools comprised in our students' dashboard, i.e., the planner, the activity graph, and the learning diary. In addition, we present key results gained in several empirical studies which had an implication on the tools' design. Finally, we provide insights about our experience with the HCLA approach, pointing out benefits and limitations in practice.
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Learning Analytics (LA) researchers and practitioners are growing interested in applying human-centred design methods and techniques to design LA technology. This approach finds solutions by involving the perspectives of students, teachers, and other educational stakeholders in all process steps. It enables the creation of technology that resonates and is tailored to the end-users needs. The "Learning Analytics-Students in Focus" project aims to support the learning and teaching process in the higher education context. Our interdisciplinary team focuses on LA technology that facilitates acquiring and developing students' self-regulated learning skills, such as goal setting, planning, monitoring progress, and reflecting. We embraced a Human-Centred Learning Analytics (HCLA) approach since the start of our project, and it helped us to understand students' points of view and needs and find solutions together. This article summarises the design process of a LA tool named Planner, which aims to support students in planning and monitoring coursework. We share our experience with various methods and techniques applied in our research and present insights about the benefits and limitations of the HCLA approach. Finally, we highlight how the HCLA approach helped to build a LA community at our university and promote trust towards LA.
2018
Teachers design learning activities purposefully to improve student learning. However, the impact of this is usually only evaluated after a course has ended by making use of self-reported data and assessment results. Learning analytics offers the opportunity to collect, analyse and visualise feedback on activities using authentic data in real-time. Incorporating learning analytics into the learning design makes just-in-time interventions attainable. This paper presents the first steps of the development of a Learning Analytics for Learning Design (LA4LD) tool that is co-created with students and teachers, using a design-based research methodology. Both teachers and students express the need to personalise feedback on learning activities in order to increase the quality of the learning process and want that embedded in the tool.
Using Learning Design to Unleash the Power of Learning Analytics.
New learning technologies require designers and faculty to take a fresh approach to the design of the learner experience. Adaptive learning, and responsive and predicative learning systems, are emerging with advances in learning analytics. This process of collecting, measuring, analysing and reporting data has the intention of optimising the student learning experience itself and/or the environment in which the experience of learning occurs. However, it is suggested here that no matter how sophisticated the learning analytics platforms, algorithms and user interfaces may become, it is the fundamentals of the learning design, exercised by individual learning designers and faculty, that will ensure that technology solutions will deliver significant and sustainable benefits. This paper argues that effective learning analytics is contingent on well structured and effectively mapped learning designs.
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