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…

Forum discussions in Massive Open Online Courses (MOOCs) play a crucial role in promoting learning engagement and academic achievement. In particular, discussion topics significantly influence learners' emotional and cognitive engagement. However, the complex interrelationships among these factors remain underexplored. This study introduces an…

This study investigates the impact of psychological stimuli on students' continuance intention to use massive open online courses (MOOCs), through the mediation effects of emotions under a stimulus-organism-response framework. Perceived competition, perceived risk, and curiosity are the psychological stimuli. Four emotions (happiness, interest,…

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…

In online learning at scale, wherein instructional videos play a central role, interactive tools are often integrated to counteract passive consumption. For example, the forum or discussion board is widely used, and an emerging functionality, danmaku, which enables messages to be synchronized with video playback, has also been utilized recently.…

This study examined the relationship between an individual learner's background, social network position, and interaction within a Massively Open Online Course (MOOC). Prior research has largely focused on the effects of background and social network position on quantitative features of interaction. This research considered qualitative features…

Sentiments expressed on massive open online course (MOOC) discussion forums significantly influence learning effectiveness and academic performance. The evolution of learning sentiments on MOOC discussion forums is a dynamic process; however, a gap exists in the current understanding of the interplay between evolving sentiments and their impact on…

Background: Learner profiles detected from digital trace data are typically triangulated with survey data to explain those profiles based on learners' internal conditions (e.g., motivation). However, survey data are often analysed with limited consideration of the interconnected nature of learners' internal conditions. Objectives: Aiming to enable…

In spite of the proliferation of Massive Open Online Courses (MOOCs) in higher education, factors influencing user acceptance of MOOCs are not well understood. This study is intended to investigate key characteristics of user acceptance from interface design (i.e. usability), content quality (i.e. perceived quality), and emotional arousal (i.e.…

Massive open online courses (MOOC) have become important in the learning process and have been adopted in higher education, especially during the COVID-19 pandemic. However, few studies investigated MOOC continuance intention (CI) for arts disciplines. Thus, an integrated framework was proposed based on the expectation-confirmation model (ECM) and…

The COVID-19 pandemic has taught us that being able to learn online is now a crucial life skill and cannot be left to chance. Pedagogical interventions are critical to support students in building their digital skills and confidence, given identified links between online learning readiness and academic success. Based on this premise, the purpose…

Massive Open Online Courses (MOOCs) represent a form of large-scale learning that is changing the landscape of higher education. In this paper, we offer a perspective on how advances in artificial intelligence (AI) may enhance learning and research on MOOCs. We focus on emerging AI techniques including how knowledge representation tools can enable…

The Association for the Advancement of Computing in Education (AACE) is an international, non-profit educational organization. The Association's purpose is to advance the knowledge, theory, and quality of teaching and learning at all levels with information technology. The "EdMedia + Innovate Learning" conference took place in Brussels,…