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…

Recognizing the roles that English vocabulary, social interaction, academic performance, and learning motivation play in language learning can be useful in chiefly enhancing EFL language acquisition. This research explores the challenges that the pre-college EFL students encounter while expanding their word learning knowledge, communicating in the…

To address the problem of poor efficacy in hybrid learning in higher education, this study conducted a mix-method explanatory case study with structural equation modelling to examine a new construct, "perceived pedagogical value" (PPV), and its relationship with the core constructs of the Unified Theory of Acceptance and Use of…

This study investigates the influence of technological literacy in artificial intelligence (AI), augmented/virtual reality (AR/VR), and mobile applications on English as a Foreign Language (EFL) students' engagement and motivation in technology-enhanced classrooms. A total of 357 Chinese EFL students participated in a survey-based quantitative…

This investigation utilized a phenomenological approach to investigate the experience of English language educators in employing artificial intelligence (AI) tools into English language learning. The study used purposive sampling and 20 participants were interviewed. The data analysis was guided by Bronfenbrenner's (1979) ecological systems…

Human-computer collaboration is an effective way to learn programming courses. However, most existing human-computer collaborative programming learning is supported by traditional computers with a relatively low level of personalized interaction, which greatly limits the efficiency of students' efficiency of programming learning and development of…

Purpose: The purpose of this study is to set up an evaluation model to predict massive open online courses (MOOC) learning performance by analyzing MOOC learners' online learning behaviors, and comparing three algorithms -- multiple linear regression (MLR), multilayer perceptron (MLP) and classification and regression tree (CART).…

As a representative practice of the theory of connectivism, cMOOCs emphasize learners' content-based connective learning. Effectively promoting learners' content production is the focus of cMOOC research and practice. This study explores whether and how learners' online interactions affect the content production of courses. Based on 45166…

During the COVID-19 prevention and control period, large-scale online education was the largest digital transformation practice in education in human history. This study launched a questionnaire survey on primary and high school students. The survey was conducted from four aspects: demographics, online learning preparation, the online learning…

Sentiment evolution is a key component of interactions in blended learning. Although interactions have attracted considerable attention in online learning contexts, there is scant research on examining sentiment evolution over different interactions in blended learning environments. Thus, in this study, sentiment evolution at different interaction…

All human being's ways of living, working and studying were significantly impacted by the COVID-19 in 2020. In China, the Ministry of Education reacted fast in ensuring that primary school students could learn online at home by promoting the Sky Class program from February 2020. Educators, parents, and students all faced the challenges of adapting…

Collaborative writing (CW) involves two or more students writing a single text together. Previous studies mainly focused on students' cognitive engagement in CW and investigated their attention to various language-related problems during task interaction. However, little CW research to date has considered that engagement in language-related…

Connectivism, a learning theory that reveals a new learning in the Internet environment, has become a popular academic topic at the forefront of online learning. The MOOC Research Team at the Distance Education Research Centre at Beijing Normal University designed and developed the first massive open online course in China, adapting a connectivist…

Extensive studies have been conducted to diagnose and predict students' academic performance by analyzing a large amount of data related to their learning behaviors in a blended learning environment. But there is a lack of research examining how individualized learning interventions could improve students' academic performance in such a learning…

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…