Self-regulated learning is a crucial skill that may enable massive numbers of learners to thrive in MOOCs, but MOOC learners differ in their self-regulated learning skills, as low self-regulated learners need support to regulate their learning process in MOOCs. Designing self-regulated learning scaffoldings builds upon an accurate appraisal of…

Datasets are critical for emotion analysis in the machine learning field. This study aims to explore emotion analysis datasets and related benchmarks in online learning, since, currently, there are very few studies that explore the same. We have scientifically labeled the topic and nine-category emotion of 4715 comment texts in online learning…

To address three issues identified in previous research this study proposes a clustering-based MOOC dropout identification method and an early prediction model based on deep learning. The MOOC learning behavior of self-paced students was analyzed, and two well-known MOOC datasets were used for analysis and validation. The findings are as follows:…

Recently, researchers have proposed to leverage technology-supported data (log files) to investigate temporal and sequential patterns of interaction behaviors in learning processes. There are two major challenges to be addressed: clarifying the positioning of interaction levels and identifying the evolution of the interaction action patterns in…

Business Process Model and Notation (BPMN) is a standard formalism for business process modeling that is very popular in professional practices due to its expressiveness, the well-defined meta-model, and its easiness of use by non-technical users. For instance, BPMN2.0 is used for business processes in commercial areas such as banks, shops,…

Connectionist MOOC (cMOOC) is a type of MOOC, which can provide an online learning space for learners to sustainable connect. This study analyzed the learning behavior and motivation of repeat learners in the cMOOC "Internet + Education: a dialogue between theory and practice" to study the repeat learning needs and characteristics of…

Due to its outstanding advantages of openness, unrestraint and low cost, MOOCs have been growing rapidly in recent years. However, this new self-directed online learning model faces the challenge of the low course completion rate. Based on self-determination theory, this paper combines learners' intrinsic motivation and extrinsic motivation, and…

Massive Open Online Courses (MOOCs) are platforms teachers can use to seek guidance on different strategies to update their teaching skills. This study finds the effectiveness of MOOCs in developing professional performance and skills of school teachers. It tries to show the extent to which school teachers can benefit from these courses and how…

Massive Open Online Courses (MOOCs) are the product of "internet + education", offering open educational resources to global students. This study analyzed the factors influencing students' intention to continue using MOOCs based on their satisfaction. To achieve research objectives this study integrates the unified theory of acceptance…

This study takes the value-based adoption model and CIE model of the learning process as the theoretical basis and combines them to explore the influencing factors and mechanisms of learners' online interaction and perceived value. Based on the questionnaire survey data of 81 learners' potential factors and their 45,166 real-time behavior data on…

With the ever-increasing adoption of MOOCs, the study of MOOCs learning behavior has been paid more and more attention, both in practice and in academia. This study aims to understand the impact of resource integration (including platform resources, teacher resources, and learner resources) on learners' perception of value co-creation (including…

The current era of (e-)learning invests heavily on Massive Open Online Courses (MOOCs). Various dedicated MOOC platforms are used, such as Coursera, Udacity, and Open edX. Moodle, one of the most popular open-source Learning Management Systems (LMS), has been also used for MOOC implementations. Usability and user experience (UX) are very important…

High dropout rate exists universally in massive open online courses (MOOCs) due to the separation of teachers and learners in space and time. Dropout prediction using the machine learning method is an extremely important prerequisite to identify potential at-risk learners to improve learning. It has attracted much attention and there have emerged…

This study attempted to assess public perceptions of and interest in MOOCs by examining how Weibo increases public discussion of MOOCs as well as by interpreting how individual learners talk about their learning experiences. Over 4,000 microblog posts were collected and analysed between 2013 and 2018. The findings showed that Weibo is used as a…

Since the advent of massive open online courses (MOOC), it has been the focus of educators and learners around the world, however the high dropout rate of MOOC has had a serious negative impact on its popularity and promotion. How to effectively predict students' dropout status in MOOC for early intervention has become a hot topic in MOOC…