Automatic multiple choice question (MCQ) generation from a text is a popular research area. MCQs are widely accepted for large-scale assessment in various domains and applications. However, manual generation of MCQs is expensive and time-consuming. Therefore, researchers have been attracted toward automatic MCQ generation since the late 90's.…

In today's world, the university is undergoing profound changes, and it needs digital technologies requiring new cognitive skills. New Information and Communication Technologies, computer and internet literacy, and teacher digital competence are increasingly becoming requirements for teaching. In architecture, teachers do not have tools to help…

In this paper, we propose a novel approach to combine domain modelling and student modelling techniques in a single, automated pipeline which does not require expert knowledge and can be used to predict future student performance. Domain modelling techniques map questions to concepts and student modelling techniques generate a mastery score for a…

The study is aimed to develop the open innovation model of student's research activities based on the adaptation of modern scientific achievements in the context of transition to sustainable development of the education system. It advances a general approach to the design of the structure and implementation of main components of hybrid intelligent…

Improving teachers' online class application ability is a critical issue that needs to be addressed in the Sichuan Cloud Education promotion process. The four-stage training model of Sichuan Cloud Education constructs a reproducible and easy-to-promote online class teacher's application ability model. It provides practical solutions to poor…

Mobile learning or mLearning has become an essential tool in many fields in this digital era, among the ones educational training deserves special attention, that is, applied to both basic and higher education towards active, flexible, effective high-quality and continuous learning. However, despite the advances in Natural Language Processing…

Mplus is a powerful latent variable modeling software program that has become an increasingly popular choice for fitting complex item response theory models. In this short note, we demonstrate that the two-parameter logistic testlet model can be estimated as a constrained bifactor model in Mplus with three estimators encompassing limited- and…

This article reminds readers of the benefits that use cases bring to the software development process. Use cases, as featured in the UML (Unified Modeling Language), are contrasted with the much terser "user stories" favoured by agile methods. With their normal and alternative flows, and extending and included behaviours, use cases…

The "extended Rasch modeling" (eRm) package in R provides users with a comprehensive set of tools for Rasch modeling for scale evaluation and general modeling. We provide a brief introduction to Rasch modeling followed by a review of literature that utilizes the eRm package. Then, the key features of the eRm package for scale evaluation…

Recent work on measuring growth with categorical outcome variables has combined the item response theory (IRT) measurement model with the latent growth curve model and extended the assessment of growth to multidimensional IRT models and higher order IRT models. However, there is a lack of synthetic studies that clearly evaluate the strength and…

Cloud service is an emerging technology in Higher education institutions (HEIs). However, while providing this technology, quality of service (QoS) not given sufficiently important attention especially from the HEIs and decision makers. In this research, previous QoS models and frameworks are reviewed of researches done in this field are…

The Attention, Relevance, Confidence, and Satisfaction (ARCS) model provides a basis for integrating motivational dynamics and technological affordances into the design and implementation of instructions to maintain learner motivation and interest. Little attention has been paid to this potential in teaching the complex and often demotivating…

The objective of this research is to build automated models that emulate VerbNet, a semantic resource for English verbs. VerbNet has been built and expanded by linguists, forming a hierarchical clustering of verbs with common semantic and syntactic expressions, and is useful in semantic tasks. A major drawback is the difficulty of extending a…

This study involves e-learning skills via educational software, compared to instruction via educational software with the mediation of an instructor. In the last two decades, the role of the teacher-lecturer has changed, from teaching to guidance and instruction. The technological tools have changed the nature of the learning space and the manner…

Academic advising plays an important role in students' decision-making in higher education. Data-driven methods provide useful recommendations to students to help them with degree completion. Several course recommendation models have been proposed in the literature to recommend courses for the next semester. One aspect of the data that has yet to…