Results 11 to 20 of about 7,562,562 (305)
Academic Analytics and Data Mining in Higher Education [PDF]
International Journal for the Scholarship of Teaching and Learning, 2010 The emerging fields of academic analytics and educational data mining are rapidly producing new possibilities for gathering, analyzing, and presenting student data.
Paul Baepler, Cynthia Murdoch
doaj +2 more sources
Natural Language Processing: Writing Analytics [PDF]
, 2022 Writing analytics uses computational techniques to analyse written texts for the purposes of improving learning. This chapter provides an introduction to writing analytics, through the discussion of linguistic and domain orientations to the analysis of
Shibani, A, Gibson, A
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Safety in Numbers: Developing a Shared Analytics Services for Academic Libraries [PDF]
, 2015 Purpose It is clear that libraries consider the use of data to inform decision making a top priority in the next five years. Jisc’s considerable work on activity data has highlighted the lack of tools and services for libraries to exploit this data.
Showers, Ben, Stone, Graham
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AI-enabled routine H&E image based prognostic marker for early-stage luminal breast cancer
npj Precision Oncology, 2023 Breast cancer (BC) grade is a well-established subjective prognostic indicator of tumour aggressiveness. Tumour heterogeneity and subjective assessment result in high degree of variability among observers in BC grading.
Noorul Wahab +16 more
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Metabolites, 2022 The metabolic profiling of a wide range of chemical classes relevant to understanding sarcopenia under conditions in which sample availability is limited, e.g., from mouse models, small muscles, or muscle biopsies, is desired.
Yupeng He +10 more
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Broadening the Scope and Increasing the Usefulness of Learning Analytics: The Case for Assessment Analytics [PDF]
, 2013 This paper argues that the role that assessment could play within a learning analytics strategy is both significant and, as yet, underdeveloped and underexplored.
Ellis, Cath
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Text Analytics for Android Project [PDF]
, 2014 Most advanced text analytics and text mining tasks include text classification, text clustering, building ontology, concept/entity extraction, summarization, deriving patterns within the structured data, production of granular taxonomies, sentiment and ...
Jackute, Ieva +9 more
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Learning Analytics to Validate Academic Performance Analysis
2023 International Conference on Engineering and Emerging Technologies (ICEET), 2023 The learning prodcess is increasingly on the agenda. As well as the mechanisms that can be used to optimize it, both in terms of improving student performance, as well as improving teacher performance. On this subject, there has been continuous research, and increasingly trying to take advantage of technological development, and thus be able to take ...
Oliveira, Pedro Filipe, Matos, Paulo
openaire +2 more sources
Safety in Numbers: Developing a Shared Analytics Service for Academic Libraries [PDF]
, 2014 Purpose It is clear that libraries consider the use of data to inform decision making a top priority in the next five years. Jisc’s considerable work on activity data has highlighted the lack of tools and services for libraries to exploit this data.
Showers, Ben, Stone, Graham
core +1 more source
International Review of Research in Open and Distributed Learning, 2016 The prediction and classification of student performance has always been a central concern within higher education institutions. It is therefore natural for higher education institutions to harvest and analyse student data to inform decisions on ...
Angelo Fynn
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