The Adoption of the Rasch Measurement Approach as a Learning Analytics Tool in Higher Education

2021 ◽  
pp. 137-147
Author(s):  
Allaa Barefah
2021 ◽  
Vol 49 ◽  
pp. 100788
Author(s):  
Kaire Kollom ◽  
Kairit Tammets ◽  
Maren Scheffel ◽  
Yi-Shan Tsai ◽  
Ioana Jivet ◽  
...  

2018 ◽  
Vol 37 (10-11) ◽  
pp. 1142-1155 ◽  
Author(s):  
Jinzhuo Zhang ◽  
Xi Zhang ◽  
Shan Jiang ◽  
Patricia Ordóñez de Pablos ◽  
Yongqiang Sun

2020 ◽  
Author(s):  
Neil Van Der Ploeg ◽  
Kelly Linden ◽  
Ben Hicks ◽  
Prue Gonzalez

Student Retention and Attrition guidelines are part of the Federal Government’s performance based funding framework. One of the recommendations from the Higher Education Standards Panel review is to consider changing students’ enrolment prior to census date when a certain level of engagement is not met. This study investigates this recommendation by trialing and testing a model to see if completely disengaged students are able to be retrospectively identified as at risk of failing all subjects. Using learning analytics alone to create a predictive model at scale proved to be very difficult. When applied to session 1 of 2019, even the strictest criteria included five false positives out of 17 identified students. There is promise, however, that a hybrid model of learning analytics with additional oversight from teaching staff could be a solution, but this needs further research.


Author(s):  
Konstantinos Skampagiannis ◽  
Athanasios Pletsas

This chapter per the authors examines the feasibility of a learning analytics tool in the Chinese Higher Institutions educational environment. At first, the general definition of learning analytics is examined. Additionally, the authors shed light on case studies of universities that have already implemented learning analytics. Moreover, the Chinese educational environment is examined through a thorough analysis of the learning analytics necessity. Based on the literature review, a learning analytics tool is proposed. In a technical basis, the tool is a combination of ELLI or Effective Lifelong Learning Inventory, a dispositional learning analytics tool and a recommender system. The ultimate function of the tool is that it links students with a specific educational profile with successful students with similar profiles. Finally, the author identified the key limitations of the prototype and performed a general analysis on the tools goals and expectations in the Chinese Higher Education Institutions.


Sign in / Sign up

Export Citation Format

Share Document