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The distributed inference paradigm enables the computation workload to be distributed across multiple devices, facilitating the implementation of deep learning based intelligent services on extremely resource-constrained Internet of Things (IoT) ...

With an emphasis on interdisciplinary teaching models in education, this study designed and implemented an “AI+elementary science” interdisciplinary teaching model based on big ideas, to improve students’ core literacy. The model was applied to the “...

Positive emotional design has been shown to have an important impact on multimedia learning. However, before learning multimedia materials, students may inevitably be stressed by external factors such as learning uncertainties brought about by ...

Online course discussions contain abundant cognitive information from learners. Previous models required a large amount of labeled data to classify cognitive engagement from the perspective of semantic features alone. However, these models only ...

In the MOOC forum discussions, emotional and cognitive engagement are two prominent aspects of learning engagement. Moreover, emotional and cognitive engagement have an interactive relationship and can jointly predict learning ...

• A deep learning model for detecting emotional and cognitive engagement is developed.

The design of social learning analytics (SLA) tools has become a practical means to make available learning information with a goal to improve students' regulation, reflection, and engagement in online learning. This design-based research uses the ...

Large quantities of textual posts are increasingly generated in course discussion forums, and the accumulation of these data greatly increases the cognitive loads on online participants. It is imperative for them to automatically identify the potential ...

In the discussion forums of massive open online courses (MOOCs), cognitive processing (e.g., insight, certain) is considered an essential factor that can affect learners' learning outcomes, but the relationship between them has not been thoroughly ...

Knowledge tracing (KT) is essential for adaptive learning to obtain learners’ current states of knowledge for the purpose of providing adaptive service. Generally, the knowledge construction procedure is constantly evolving because students ...

In MOOCs, course reviews serve as a new interactive tool that has not yet been sufficiently exploited. Therefore, this study investigated learners' explicit behaviors and implicit discourse content derived from reviews by using a mixed ...

• Significant differences are shown in discourse behaviors and focused topics between completers and non-completers.

Nowadays, Massive Open Online Courses MOOC has obtained a rapid development and drawn much attention from the areas of learning analytics and artificial intelligence. There are lots of unstructured data being generated in online reviews area. The ...

Locality-sensitive hashing (LSH) considered as an efficient algorithm for large-scale similarity search has become increasingly popular. Recently, many of its variants have been applied widely in high-dimensional similarity search. To overcome the ...

Sentiment recognition of online course reviews is valuable to understand emotions and feelings of learners. Nowadays, an increasing number of course reviews are being generated with the emergence of Massive Open Online Courses (MOOCs), which offers ...

Cloud computing technology provides a convenient way for the distribution and application of educational resource, which becomes the hotspot of ICT in education. Based on in-depth study of standards in cloud computing and E-Learning, the paper analyzes ...

To regulate the switch effect induced by NH anion substitution at the H8 site of the guanine-cytosine (GC) watson-crick pair and investigate the actual state in the solution, 1-9 water molecules attached G^NH C derivatives are probed in the present ...