The data-intensive research paradigm calls for using educational and learning data to generate actionable insights and improve the instruction and learning quality. Although previous research designed and employed teaching analytics or learning analytics tools, few research had incorporated multiple data sources to assess the overall teaching and…

The need for data-driven decision-making primarily motivates interest in analysing Big Data in higher education. Although there has been considerable research on the value of Big Data in higher education, its application to address critical issues within the sector is still limited. This systematic review, conducted in December 2021 and…

In order to deeply analyze and evaluate the changes in the comprehensive quality of college students' sports dance, the overall idea of systematically evaluating the changes in the comprehensive quality of college students' sports dance was established. Firstly, this article uses the triangular fuzzy number method to measure the evaluation…

This paper presents the first experiences of the use of an online open-source repository with programming exercises. The repository is independent of any specific teaching approach. Students can search for and select an exercise that trains the programming concepts that they want to train and that only uses the programming concepts they already…

The National College English Test Band 4 (CET-4) is a key test to assess the English language ability of Chinese university students, and the success rate of the test is important to improve the quality of their English learning. Artificial intelligence technology can be used to predict and explore the factors influencing the success rate. This…

This study analyzed students' online assignment submission behaviors from the perspectives of temporal learning analytics. This study aimed to model the time-dependent changes in the assignment submission behavior of university students by employing various machine learning methods. Precisely, clustering, Markov Chains, and association rule mining…

The use of online video lectures in universities, primarily for content delivery and learning, is on the rise. Instructors' ability to recognize and understand student learning experiences with online video lectures, identify particularly difficult or disengaging content and thereby assess overall lecture quality can inform their instructional…

Mobile learning or mLearning has become an essential tool in many fields in this digital era, among the ones educational training deserves special attention, that is, applied to both basic and higher education towards active, flexible, effective high-quality and continuous learning. However, despite the advances in Natural Language Processing…

One of the main generic competencies in Higher Education is "Learning to Learn". The key component of this competence is the capacity for self-regulated learning (SRL). For this competence to be developed, peer feedback seems useful because it fosters evaluative judgement. Following the principles of peer feedback processes, an online…

This paper provides a novel instructional methodology that is designed to conceptually address the four main challenges faced by 21st century students, who must learn in a multitude of educational settings (face to face, hybrid and online). The online learning neuroscience supported instructional methodology detailed in this article also provides…

This case study reviews the implementation of a learning analytics (LA) system at a large southeastern university. The LA system uses cloud computing to automate data collection and distribution, providing faculty with insights into student performance and engagement. The system includes weekly alert emails and dashboards offering detailed…

This paper reports on the development and piloting of Classmoto, an online application designed to measure learner engagement. The application enables teachers to collect real-time analytics of student social, affective, and cognitive engagement. The results are immediately visible to the teacher. We investigated and reported on the engagement…

This study aims to reveal the main trends and findings of the studies examining the use of learning analytics in distance education. For this purpose, journal articles indexed in the SSCI index in the Web of Science database were reviewed, and a total of 400 journal articles were analysed within the scope of this study. The systematic review…

Issues of intelligibility may arise amongst English learners when acquiring new words and phrases in North American academic settings, perhaps in part due to limited linguistic data available to the learner for understanding language use patterns. To this end, this paper examines the effects of Data-Driven Learning for Pronunciation (DDLfP) on…

There has been a growing interest in how teaching might be informed by "learning design" (LD), with a promising method for investigating LD being offered by the emerging field of "learning analytics" (LA). In this study, we used a novel LA for LD methodology to investigate the implementation of LD in an online distance learning…