Abstract
Learning Analytics is a dynamic interdisciplinary field that encompasses educational sciences and state-of-the-art technology, methods and systems from various fields of computing such as data science, data visualization, software engineering, human-computer interaction, statistics, artificial intelligence, with various stakeholders, e.g. instructors, students, department and college administrators, practitioners, university top managers, computer scientists, IT experts, and software developers. Despite some current achievements and initial developments in Learning Analytics, we are still in a very early stage of development of sophisticated technologies and well-thought practices, tools and applications in this field as well as understanding the impact of Learning Analytics on (a) student learning and privacy, and (b) faculty instruction and autonomy. This paper presents the up-to-date research findings and outcomes of a multi-aspect project on Smart Learning Analytics at Bradley University (USA). It describes the obtained research outcomes about student perception and attitude to Learning Analytics on an academic course level and corresponding Learning Analytics-based pedagogy.
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Acknowledgements
The authors would like to thank Mr. Ashok Shah, Mr. Tim Krock, Ms. Pravallika Vemulapalli, Mr. Cade McPartlin and Mr. Nicholas Hancher - the research associates of the InterLabs Research Institute and graduate and undergraduate students of the Department of Computer Science and Information Systems (CS&IS) at Bradley University - for their valuable contributions to this research, design and development project.
We also would like to thank Dr. Steven Dolins, Professor and Chair of the CS&IS Department for his long-term strong support of our research in SmE, SmU and SmP areas.
This research project is partially supported by grant REC # 1326809 at Bradley University (2015–2018).
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Uskov, V.L. et al. (2019). Learning Analytics Based Smart Pedagogy: Student Feedback. In: Uskov, V., Howlett, R., Jain, L., Vlacic, L. (eds) Smart Education and e-Learning 2018. KES SEEL-18 2018. Smart Innovation, Systems and Technologies, vol 99. Springer, Cham. https://doi.org/10.1007/978-3-319-92363-5_11
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DOI: https://doi.org/10.1007/978-3-319-92363-5_11
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