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…

Considering the ubiquity, large volume of similar courses, and the huge cost of a course, it becomes imperative to understand factors affecting MOOCs course enrolments. This paper aims to investigate how the home page elements of a MOOC influence students' enrolments. The elements in the home page include course category, course description, team…

This study involved 51 Chinese universities from the Quacquarelli Symonds (QS) World University Ranking 2021. With based the resource-based view (RBV) as a framework, it aimed to identify the determinants of human resource capital that were related to universities' production of MOOCs. Three determinants were detected--size, lifelong learning, and…

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,…

Despite the growing importance of MOOCs and their application in face-to-face classes since 2020, driven by the COVID-19 pandemic, existing literature offers limited research on the factors affecting the quality of hybrid MOOC (hMOOC) learning, particularly from a psychological perspective. Thus, based on the 3P model of teaching and learning,…

This study aims to understand the perception of university teachers on MOOCs and explore the critical drives that impact teachers to work with MOOCs based on an incorporated model of theory of planned behaviour (TPB) and Playbour (PL). Besides, this study also adopts Hofstede's Cultural Dimensions Theory to include the culture as a moderator to…

The rise of Massive Open Online Courses (MOOCs) has democratised education, yet student dropout remains a persistent challenge. This research tackles this issue by analysing 1,273 publications on MOOC dropout rates (2020-2023) from the Scopus database using VOSviewer, a bibliometric analysis tool. By mapping the intellectual landscape, the study…

This study adopted the Latent Dirichlet Allocation (LDA) to extract learners' needs based on 70,145 reviews from online course designed for software design and development in China and then applied Quality Function Deployment (QFD) to map learners' differentiated needs into quality attributes. Taking national first-class courses as the…

The aim of this study is to gain insight into the interplay between attitudes, motivation, learning engagement, and perceived learning outcomes in massive open online courses (MOOCs). An online survey was administered to 232 MOOC learners. This study provided comprehensive explanations for individual differences in learning engagement and…

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…

This study employs Structural Equation Modeling (SEM) and the Technology Acceptance Model (TAM) framework to explore the factors influencing Massive Open Online Courses (MOOCs) usage among college students in Southwest China. Using probability sampling, data were collected from 602 participants through an online survey distributed over a period of…

Purpose: This study intends to investigate the determinants of learners' continuance intention to use massive open online courses (MOOCs) for personal or professional development. Design/methodology/approach: This study employed quantitative research design. The respondents were individual learners from six selected universities in China who used…

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…

Scoping studies are a methodological approach that reviews the existing body of literature on a selected field of study. This case study draws on a recent piece of research (Yuan & Wu, 2021) that borrows this methodological framework to analyze and evaluate Massive Open Online Courses (MOOCs) offered by Chinese universities with the goal of…

The enduring challenges faced by MOOCs have consistently revolved around the low completion and high dropout rates. To explore the factors that affect the continuance intention of MOOCs, this study constructed a new theoretical model to analyze how the social and technical factors influenced the intention to continue using MOOCs through attachment…