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Knowledge Tracing (KT) aims to determine whether students will respond correctly to the next question, which is a crucial task in intelligent tutoring systems (ITS). In educational KT scenarios, transductive ID-based methods often face severe data ...

Accurately judging student on-going performance is crucial for adaptive teaching. In this work, we focus on the task of automatically predicting students' levels of mastery of math questions from teacher-student classroom dialogue data in online one-on-...

Educational recommendation seeks to suggest knowledge concepts that match a learner's ability, thus facilitating a personalized learning experience. In recent years, reinforcement learning (RL) methods have achieved considerable results by taking the ...

As the field of machine reading comprehension (MRC) continues to evolve, it is unlocking enormous potential for its practical application. However, the currently well-performing models predominantly rely on massive pre-trained language models with at ...

Online learning at scale has become dramatically more popular over the last decade. While these programs provide affordable and accessible education, low retention and engagement are persistent problems. Virtual Teaching Assistants (VTAs) offer a ...

Academic procrastination, defined as the tendency of students to delay or postpone completing academic tasks, such as studying for an exam, doing homework, or writing an essay has become very common these days. Studies show that every four out of every ...

Research on the use of mobile applications in language teaching and learning has been extensive, especially since the advent of the COVID-19 pandemic. In this review of articles, we systematically examine 112 empirical studies investigating the ...

Emotional feeling is a phase of neurobiological activity that plays an important role in cognitive thinking and learning, although largely overlooked in complex tutoring fields like Mathematics. This paper introduces an innovative e-learning Mathematics ...

Nowadays, the implementation of projects to create information systems that would allow teachers to easily manage the online learning process is relevant. In this article, an information system for online learning using 3D technologies is created. ...

In order to solve the problems of slow mining speed, high noise and poor data correlation in the existing online education big data mining methods, an online education big data mining method based on association rules is designed. Firstly, the recursive ...

In order to improve the recommendation accuracy of existing online education knowledge sets in universities and shorten the recommendation response time, a recommendation method for online education knowledge sets in universities based on DV-TransE model ...

Due to the pandemic, there has been a drastic change in the advancement of online learning platforms. This article will help us understand the reasons for the increase and decrease of using online learning platforms. Based on the research conducted, it ...

Goal-oriented Learning path recommendation aims to recommend learning items (concepts or exercises) step-by-step to a learner to promote the mastery level of her specific learning goals. By formulating this task as a Markov decision process, ...

COVID-19 has created a dramatic paradigm shift in education methods, which forced schools and universities to abandon the usual in-person education in favor of online education modules. Such a shift has extended the time and use of internet communication ...

Podcasts are a widely-used medium for communication and learning. One advantage of them is the possibility to pursue other activities while listening. Contrasting, Massive Open Online Courses (MOOCs) employ video-based teaching methods. Current research, ...

Online education is convenient and accessible, but also brings new challenges to retention. Prior research has found that students in online programs---including CS programs---are more likely to withdraw both from individual classes as well as the ...

Using a Computer Science affordable degree at scale as a case study, the context of this paper explores the ways in which student life initiatives can humanize the at scale and online distance learning student experience through a holistic and student ...

Students are able to produce correctly functioning program code even though they have a fragile understanding of how it actually works. Questions derived automatically from individual exercise submissions (QLC) can probe if and how well the students ...

As an online digital space parallel to the real world, the metaverse plays an important role in empowering online-merge-offline(OMO) teaching. Through analysis, it is found that the functions of metaverse in integrated teaching are mainly embodied in ...

Online education, known as MOOC, has caused great reflection on traditional education. With the rapid development of online education and the establishment of various online education platforms, in the face of massive curriculum knowledge, how to quickly ...