Explainable AI for data-driven feedback and intelligent action recommendations to support students self-regulation

M Afzaal, J Nouri, A Zia, P Papapetrou… - Frontiers in Artificial …, 2021 - frontiersin.org
Formative feedback has long been recognised as an effective tool for student learning, and
researchers have investigated the subject for decades. However, the actual implementation …

Ouroboros: early identification of at-risk students without models based on legacy data

M Hlosta, Z Zdrahal, J Zendulka - Proceedings of the seventh …, 2017 - dl.acm.org
This paper focuses on the problem of identifying students, who are at risk of failing their
course. The presented method proposes a solution in the absence of data from previous …

A conceptual model to identify vulnerable undergraduate learners at higher-education institutions

N Mngadi, R Ajoodha, A Jadhav - 2020 2nd International …, 2020 - ieeexplore.ieee.org
There is a growing concern around student attrition worldwide, including South African
universities. More often than not, the reasons for students not completing their degree in the …

[PDF][PDF] A theoretical model to predict undergraduate learner attrition using background, individual, and schooling attributes

N Mngadi - PhD diss, 2020 - wiredspace.wits.ac.za
There is a growing concern around student attrition worldwide, including South African
universities. More often than not, the reasons for students not completing their degree in the …

[PDF][PDF] A theoretical model to predict undergraduate attrition based on background and enrollment characteristics

MR Mathye - 2020 - escience.ac.za
Developing graduate readiness amongst students who enters university with risk factors is
one of the greatest challenges of institutions. Evidence that students with risk profiles are not …

Achieving data-driven actionability by combining learning and planning

Q Lv, Y Chen, Z Li, Z Cui, L Chen, X Zhang… - Frontiers of Computer …, 2018 - Springer
A main focus of machine learning research has been improving the generalization accuracy
and efficiency of prediction models. However, what emerges as missing in many …

The Role of Differentiated Instruction in Meeting the Needs of At-Risk Students: A Case Study

KA Gibson - 2021 - search.proquest.com
This qualitative case study explored how an alternative education high school in an upper-
class suburban town supported the needs of at-risk students. Using Differentiated Instruction …

[引用][C] Data driven approach for predicting student dropout in secondary schools

N Mduma - 2020 - NM-AIST