... integrating psychometric modeling through the multidimensional random coefficients multinomial logit model, a decision-tree machine learning algorithm (depth = 3), and adaptive system design. Mathematical proficiency was assessed using the Wright map analysis within a multidimensional Rasch framework...

... features, select appropriate machine learning algorithms to build prediction models and determine suitable early prediction times. We collected learner behavior data at various times in two courses: general information (GI) and data structures and algorithms (DSA), with 746 and 102 learners, respectively...

...Claire M. Mason; Haohui Chen; David Evans; Gavin Walker Purpose This paper aims to demonstrate how skills taxonomies can be used in combination with machine learning to integrate diverse online datasets and reveal skills gaps. The purpose of this study is then to show how the skills gaps revealed...

... objects Web-based mining techniques Fuzzy c-means Clustering algorithm Machine learning Latent semantic analysis (LSA) By understanding these key concepts and their relevance to the study, we will be better equipped to understand the main instruments and methods used in the analysis...

... be detected by teachers and educational designers using the proposed language model and machine learning (ML) classifier at a high accuracy. Human (student)-generated essays can and must be correctly identified with 100% accuracy even if the overall classification accuracy performance is slightly reduced...

... ∈ R are the learning activity features of S_p and C_j ∈ Y is the class to which the learner belongs. Earliness Stability Learning analytics Machine learning k-12 learners Over the past decade, the use of online...

... with statistical approaches. Sometimes, in previous studies, machine learning models were utilized conventionally. Design/methodology/approach In the proposed method, the authors use a novel machine learning-based ensemble approach with severity indexes to evaluate the sustainability of the proposed mobile...

... theory, which are related to machine learning methods as they are currently in use in the workplace. Based on these theoretical insights, the paper presents a qualitative evaluation of the augmentation potential of AI to assist individual and organizational learning in the workplace. Findings...

... with multiple disabilities. Julius T. Nganji can be contacted at: jtanyung@uottawa.ca 04 08 2016 13 03 2017 02 06 2017 © Emerald Publishing Limited 2017 Emerald Publishing Limited Licensed re-use rights only Virtual learning environments Machine learning Personalization...