Explainable AI for data-driven feedback and intelligent action recommendations to support students self-regulation
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 …
researchers have investigated the subject for decades. However, the actual implementation …
Ouroboros: early identification of at-risk students without models based on legacy data
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 …
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 …
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 …
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 …
one of the greatest challenges of institutions. Evidence that students with risk profiles are not …
Achieving data-driven actionability by combining learning and planning
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 …
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 …
class suburban town supported the needs of at-risk students. Using Differentiated Instruction …