Educational data mining and learning analytics for 21st century higher education: A review and synthesis
The potential influence of data mining analytics on the students' learning processes and
outcomes has been realized in higher education. Hence, a comprehensive review of …
outcomes has been realized in higher education. Hence, a comprehensive review of …
Learning analytics to support teachers' assessment of problem solving: A novel application for machine learning and graph algorithms
In contrast to well-structured problems which have pre-defined, correct answers, complex
real-world problems are often ill-structured problems (ISPs). The open-ended nature of ISPs …
real-world problems are often ill-structured problems (ISPs). The open-ended nature of ISPs …
[图书][B] Big data for qualitative research
KA Mills - 2019 - library.oapen.org
Big Data for Qualitative Research covers everything small data researchers need to know
about big data, from the potentials of big data analytics to its methodological and ethical …
about big data, from the potentials of big data analytics to its methodological and ethical …
Collocated collaboration analytics: Principles and dilemmas for mining multimodal interaction data
R Martinez-Maldonado, J Kay… - Human–Computer …, 2019 - Taylor & Francis
Learning to collaborate effectively requires practice, awareness of group dynamics, and
reflection; often it benefits from coaching by an expert facilitator. However, in physical …
reflection; often it benefits from coaching by an expert facilitator. However, in physical …
The multimodal matrix as a quantitative ethnography methodology
S Buckingham Shum, V Echeverria… - Advances in Quantitative …, 2019 - Springer
This paper seeks to contribute to the emerging field of Quantitative Ethnography (QE) by
demonstrating its utility to solve a complex challenge in Learning Analytics: the provision of …
demonstrating its utility to solve a complex challenge in Learning Analytics: the provision of …
The role of temporal patterns in students' behavior for predicting course performance: A comparison of two blended learning courses
A van Leeuwen, N Bos… - British Journal of …, 2019 - Wiley Online Library
In higher education, many studies have tried to establish which student activities predict
achievement in blended courses, with the aim of optimizing course design. In this paper, we …
achievement in blended courses, with the aim of optimizing course design. In this paper, we …
A MapReduce solution for incremental mining of sequential patterns from big data
S Saleti, RBV Subramanyam - Expert Systems with Applications, 2019 - Elsevier
Abstract Sequential Pattern Mining (SPM) is a popular data mining task with broad
applications. With the advent of big data, traditional SPM algorithms are not scalable. Hence …
applications. With the advent of big data, traditional SPM algorithms are not scalable. Hence …
Evolving temporal association rules in recommender system
H Zhou, K Hirasawa - Neural Computing and Applications, 2019 - Springer
This research involves implementation of genetic network programming (GNP) and ant
colony optimization (ACO) to solve the sequential rule mining problem for commercial …
colony optimization (ACO) to solve the sequential rule mining problem for commercial …
Does order matter? investigating sequential and cotemporal models of collaboration
Many researchers have argued that models of collaborative processes should account for
temporality, but there exist different approaches for doing so. We compared two specific …
temporality, but there exist different approaches for doing so. We compared two specific …
Knowledge discovery in educational databases in indian educational system: A case study of ghrce, nagpur
India ranks third in the higher education after United States and China. However, advanced
learning management system is not widely used or accepted in India as compared to its …
learning management system is not widely used or accepted in India as compared to its …