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 investigates the use of Large Language Models (LLMs) by undergraduates majoring in Instrumentation and Control Engineering (ICE) at University of Shanghai for Science and Technology. We conducted a questionnaire survey to assess the awareness and usage habits of these LLMs among ICE undergraduates in ICE courses, focusing on the model…

In this paper, a secure exam proctoring assistant 'EMTIHAN' (which means exam in Arabic/Persian/Urdu/Turkish languages) is developed to address concerns related to online exams for handwritten topics by allowing students to submit their answers online securely via their mobile devices. This system is designed with an aim to lessen the student's…

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…

Massive open online courses (MOOCs) are online educational courses that provide learning opportunities without geographical, temporal, or enrollment limitations. However, the adoption of MOOCs in Omani higher education is still in its early stages. Therefore, this study aims to assess how attitudes, self-efficacy, experience with online teaching,…

Purpose: The study is aimed at analyzing the perceptions of students and teachers regarding the effectiveness of massive open online courses (MOOCs) on learning efficiency of students and also evaluating MOOCs as an ideal tool for designing a blended model for education. Design/methodology/approach: The analysis was carried out by using the data…

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,…

Purpose: The purpose of this study is to propose a research model based on the stimulus-organism-response (S-O-R) model to examine whether media richness (MR), human-system interaction (HSI) and human-human interaction (HHI) as technological feature antecedents to medical professionals' learning engagement (LE) can affect their learning…

The content analysis included video lectures posted in 208 MOOCs on the Polish educational platform NAVOICA. The aim was to determine their subject matter and the methods of preparing video lectures. It turned out that video lectures were included in 57% of MOOCs, most often related to "Medical and health sciences" and…

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…