• Corpus ID: 16906479

Learning Analytics: Definitions, Processes and Potential

@inproceedings{Elias2011LearningAD,
  title={Learning Analytics: Definitions, Processes and Potential},
  author={Tanya Elias},
  year={2011}
}
A Comparison of Learning Analytics Frameworks: a Systematic Review
TLDR
The results found that learning analytics frameworks share a number of elements and characteristics such as source, development and application focus, a form of representation, data sources and types, focus and context and while design and process elements of these frameworks may be transferable and scalable to other contexts, users in different contexts will be best-placed to determine their transferability/scalability.
Learning Analytics: Enhancing the Quality of Higher Education
TLDR
The research will discuss the advancement in Big Data and how is it useful in education, along with an overview of the importance of various stakeholders and the challenges that lie ahead.
Learning Analytics in Massive Open Online Courses
TLDR
This dissertation focuses on the integration of learning analytics in MOOCs, and thereafter looks into examining students' behavior on one side and bridging MOOC issues on the other side.
Applying Data Mining Techniques to Game Learning Analytics
LEARNING ANALYTICS TO QUANTIZE AND IMPROVE THE SKILLS DEVELOPMENT AND ATTAINMENT IN LARGE CLASSES
TLDR
This paper proposes and illustrates an algorithmic methodology that shall allow the stakeholders in education to focus more on skills attainment effectively and that relates to the successful and weaker range of attainments of stakeholders.
Virtual learning process environment (VLPE): a BPM-based learning process management architecture
TLDR
This thesis presents an alternative e-learning systems architecture - Virtual Learning Process Environment (VLPE) - that uses the Business Process Management (BPM) conceptual framework to design an architecture that addresses the critical quantitative learning process information gaps associated with the conventional VLE frameworks.
IMPACT OF LEARNING ANALYTICS TOWARDS STUDENTS PERFORMANCE
TLDR
The impact of learning analytics on student’s performance is investigated with main focus on course assessment reports of core course which are (a) technology management and (b) operation management.
Learning Analytics Methods, Benefits, and Challenges in Higher Education: A Systematic Literature Review.
Higher education for the 21st century continues to promote discoveries in the field through learning analytics (LA). The problem is that the rapid embrace of of LA diverts educators’ attention from
Teaching analytics: towards automatic extraction of orchestration graphs using wearable sensors
TLDR
This paper presents a case study exploring the potential of machine learning techniques to automatically extract teaching actions during classroom enactment, from five data sources collected using wearable sensors (eye-tracking, EEG, accelerometer, audio and video).
Three paths for learning analytics and beyond: moving from rhetoric to reality
TLDR
An ongoing learning analytics project – currently used by hundreds of teaching staff to support early interventions to improve student retention - at a regional Australian university is examined in relation to the three paths, and some implications, challenges and future directions are discussed.
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