How to improve students’ experience in blending learning? Evidence from the perceptions of students in a Postgraduate Master’s Degree

[EN] This paper examines the perceptions of a group of students of a Postgraduate Master’s Degree in Cosmetics Industry at the Universitat de València, delivered with a blended learning modality, in relation to their experience in face-to-face learning and differentiating between those with or without a previous background in a remote online learning environment, with the added purpose of identifying strategies to enhance that experience, while offering further evidence for scholars, educators and institutions in this field. To this end, a survey with open questions devised ad hoc leaning on our literature review was submitted to a group of 114 students of the Master’s Degree in the period 2017-2020. Students were enquired about the pros and cons of their blended learning experience in relation to the traditional face-to-face learning, and which modality they would choose next time if both were offered, only considering the achievement, experience and satisfaction, regardless of the price. 77 students of our initial sample participated in the questionnaire, 38 of them without previous experience in blended or distance learning. The results show a certain predilection for face-to-face learning, especially in the group of newbies in blended or distance learning. They highlight how they miss a closer interaction with their peers and professors and the difficulties to assimilate certain content, while appraising the flexibility, autonomy, and the self-pace of the blended learning modality. Correspondingly, students with experience in remote online education settings generally show a better predisposal and find fewer disadvantages in blended learning. 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Unravelling the dynamics of learning design within and between disciplines in higher education using learning analytics

Designing effective learning experience in virtual learning environment (VLE) can be supported by learning analytics (LA) through explicit feedback on how learning design (LD) influences students’ engagement, satisfaction and performance. Marrying LA with LD not only puts existing pedagogical theories in instructional design to the test with actual learning data, but also provides the context of learning which helps educators translate established LA findings to direct interventions. My dissertation aims at unpacking the complexity of LD and its impact on students’ engagement, satisfaction and performance on VLE using LA. The context of this study is 400+ online and blended learning modules at the Open University (OU) UK. This research combines multiple sources of data from the OU Learning Design Initiative (OULDI), system log data, self-reported surveys, and performance data. Given the scope of this study, a wide range of visualization techniques, social network analysis, multi-level modelling, and machine learning will be used