Existing studies on Massive Open Online Courses (MOOCs) examine learners' engagement processes but have not explored links between them and motivations to enroll. In our previous work, we identified intrinsic, professional, and prosocial motivations for taking MOOCs. In this study, we used process mining to compare the course engagement patterns…

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…

Neural networks are ubiquitous in applied machine learning for education. Their pervasive success in predictive performance comes alongside a severe weakness, the lack of explainability of their decisions, especially relevant in humancentric fields. We implement five state-of-the-art methodologies for explaining black-box machine learning models…

As education increasingly shifts towards a technology-driven model, artificial intelligence systems like ChatGPT are gaining recognition for their potential to enhance educational support. In university education and MOOC environments, students often select courses that align with their specific needs. During this process, access to information…

Massive Open Online Courses (MOOCs) make high-quality learning accessible to students from all over the world. On the other hand, they are known to exhibit low student performance and high dropout rates. Early prediction of student performance in MOOCs can help teachers intervene in time in order to improve learners' future performance. This is…

ChatGPT and Bard, two chatbots powered by Large Language Models (LLMs), are propelling the educational sector towards a new era of instructional innovation. Within this educational paradigm, the present investigation conducts a comparative analysis of these groundbreaking chatbots, scrutinizing their distinct operational characteristics and…

A social demand in today's digital society is digital literacy of citizens throughout their lives. That aim has to be done without any discrimination on the grounds of disability. It is necessary to motivate all citizens to participate on such literacy, particularly including the population sector on which we focus and designing educational…

Data literacy is the ability to collect, manage, evaluate, and apply data, in a critical manner. It is a relatively new field of study, dating only from the 2010s. It includes the skills necessary to discover and access data, manipulate data, evaluate data quality, conduct analysis using data, interpret results of analyses, and understand the…

This work explores how population-based engagement prediction can address cold-start at scale in large learning resource collections. The paper introduces: (1) VLE, a novel dataset that consists of content and video based features extracted from publicly available scientific video lectures coupled with implicit and explicit signals related to…

The challenge of learning programming in a MOOC is twofold: acquiring programming skills and learning online, independently. Automated testing and feedback systems, often offered in programming courses, may scaffold MOOC learners by providing immediate feedback and unlimited re-submissions of code assignments. However, research still lacks…

The paper presents ideas and initiatives from two ongoing Erasmus+ projects funded by the European Commission. Both projects use e-Learning as an enabler for communicating interesting and important learning contents that are believed to increase and improve employability prospects for the targeted groups of learners. The WINnovators project…

This article intends to investigate the consistency between a few popular generative AI robots in the evaluation of massive open online course (MOOC) platforms. The four robots experimented with in the study were Claude+, GPT-4, Sage, and Dragonfly, which were tasked with awarding rating scores to the eight major dimensions, namely (1)…

Massive Open Online Course (MOOC) is among the innovations in online learning environments that attract a significant interest among students but they have a high drop rate. Due to MOOC's high attrition rates, this study investigated the relationship between academic engagement in MOOCs and self-regulation learning strategies. The correlation…

The present study does have a great contribution to Vietnamese higher education institutions that adopted blended learning using Coursera MOOCs, especially blending the courses with offline mentors in brick-and-mortar classrooms. In the current study, the perceived value of constructs of the extended UTAUT2 model with additional variables of…

From the standpoint of a MOOC practitioner (i.e., a MOOC provider) instead of a rigorous comparative law researcher, this article attempts to analyze the potential legal issues and risks underlying instruction via MOOCs and compare these legal issues and risks between the small jurisdiction Macao and such major jurisdictions as the United States,…