Student success prediction in MOOCs
Predictive models of student success in Massive Open Online Courses (MOOCs) are a
critical component of effective content personalization and adaptive interventions. In this …
critical component of effective content personalization and adaptive interventions. In this …
A comprehensive survey on deep learning techniques in educational data mining
Educational Data Mining (EDM) has emerged as a vital field of research, which harnesses
the power of computational techniques to analyze educational data. With the increasing …
the power of computational techniques to analyze educational data. With the increasing …
[HTML][HTML] Using learning analytics to develop early-warning system for at-risk students
In the current study interaction data of students in an online learning setting was used to
research whether the academic performance of students at the end of term could be …
research whether the academic performance of students at the end of term could be …
[HTML][HTML] Artificial intelligence for the diagnosis of heart failure
DJ Choi, JJ Park, T Ali, S Lee - NPJ digital medicine, 2020 - nature.com
The diagnosis of heart failure can be difficult, even for heart failure specialists. Artificial
Intelligence-Clinical Decision Support System (AI-CDSS) has the potential to assist …
Intelligence-Clinical Decision Support System (AI-CDSS) has the potential to assist …
Mitigating information overload in social media during conflicts and crises: Design and evaluation of a cross-platform alerting system
MA Kaufhold, N Rupp, C Reuter… - Behaviour & Information …, 2020 - Taylor & Francis
The research field of crisis informatics examines, amongst others, the potentials and barriers
of social media use during conflicts and crises. Social media allow emergency services to …
of social media use during conflicts and crises. Social media allow emergency services to …
Accurate multi-criteria decision making methodology for recommending machine learning algorithm
Objective Manual evaluation of machine learning algorithms and selection of a suitable
classifier from the list of available candidate classifiers, is highly time consuming and …
classifier from the list of available candidate classifiers, is highly time consuming and …
Analyzing Early At-Risk Factors in Higher Education E-Learning Courses.
RS Baker, D Lindrum, MJ Lindrum, D Perkowski - … Educational Data Mining …, 2015 - ERIC
College students enrolled in online courses lack many of the supports available to students
in traditional face-to-face classes on a campus such as meeting the instructor, having a set …
in traditional face-to-face classes on a campus such as meeting the instructor, having a set …
A recommendation system for meta-modeling: A meta-learning based approach
Various meta-modeling techniques have been developed to replace computationally
expensive simulation models. The performance of these meta-modeling techniques on …
expensive simulation models. The performance of these meta-modeling techniques on …
Evaluation and selection of group recommendation strategies for collaborative searching of learning objects
Nowadays, there is a wide variety of e-learning repositories that provide digital resources for
education in the form of learning objects. Some of these systems provide recommender …
education in the form of learning objects. Some of these systems provide recommender …
[图书][B] Information refinement technologies for crisis informatics: user expectations and design principles for social media and mobile apps
MA Kaufhold - 2021 - books.google.com
Marc-André Kaufhold explores user expectations and design implications for the utilization
of new media in crisis management and response. He develops a novel framework for …
of new media in crisis management and response. He develops a novel framework for …