Building and testing a framework of interactive and indirect predictors of student satisfaction would help us understand how to improve student online learning experience. The current study proposed that external predictors such as poor technological, environmental, and pedagogical factors would be internalized as negative psychological traits and…

We consider the problem of assessing the changing performance levels of individual students as they go through online courses. This student performance modeling problem is a critical step for building adaptive online teaching systems. Specifically, we conduct a study of how to utilize various types and large amounts of log data from earlier…

Self-directed learning with mobile technology (SDLMT) is critical to students' learning success. However, only minimal research has been conducted on the manner by which significant aspects (e.g., selfefficacy, student engagement) are related to SDLMT. This study analyzed the answers of 485 Chinese students (seventh to ninth grades) who were…

Recent research has unveiled the critical roles of self-efficacy and buoyancy in teachers' work engagement. However, there has been limited research on the intricate links between teacher self-efficacy, buoyancy and engagement in the online English as a foreign language (EFL) teaching context. To address the underexplored relationships among these…

Engagement plays an important role in students' success in learning. While learner engagement has been widely examined, the degree to which learners engage in online learning and the relationship between online engagement and learning outcomes, particularly in the domain of second/foreign (L2) language learning, still remain under-explored. To…

One-to-one online learning has become pervasive in distance education. However, factors affecting learners' continuance intention toward one-to-one online learning are not well known. This study proposed a model to explain learners' continuance intention toward one-to-one online learning. The model extends previous technology acceptance models and…

Self-regulation and language learning motivation have always been the research focus of foreign language acquisition. In higher education, the heterogeneity of college students creates diversity in SRL abilities, especially with the prevalence of online learning nowadays. The current study investigates the profiles of college EFL learners'…

University students always suffer from technostress and experience burnout during technology-enhanced learning (TEL). Research revealing whether and how university support contributes to eliminate them lacks. This study aims to investigate the structural relationship among "university support" (i.e., "administration support"…

Background: Students' attitudes and satisfaction are important predictors of educational quality, especially under such special situation as large scale home-based online education during the COVID19 epidemic. Objectives: This study investigated middle school students' attitudes and satisfaction about home-based online education during COVID19…

The COVID-19 pandemic has forced many college students in developing countries to engage in online learning for the first time, and the sudden transit has raised concerns regarding students' competencies for, perception of, and attitude towards online learning. To address those concerns, this study measured three essential constructs of online…

Abundant health knowledge resources are available on social media to facilitate technology-enhanced knowledge learning among older adults. The objective of this study is to investigate the predictors and the underlying formation mechanism of older adults' intention to learn health knowledge on social media. We propose a novel model to examine how…

In the spring semester of 2020, all Chinese higher education institutions delivered courses online across the nation in response to the COVID-19. This study explores Chinese college students' self-regulated learning, academic entitlement, and academic achievement during the transitioning from face-to-face to online learning environments during…

Open, flexible and distance learning has become part of mainstream education in China. Using a blended learning program in a Chinese high school as the case, this study adopted data-mining approaches to establish predictive models using personality traits. Results showed that, for students with high OE and low extraversion, and students who are…

This study investigated the effects of interactional, motivational, self-regulatory, and situational factors on university students' online learning outcomes and continuation intentions during the COVID-19 pandemic. Data were collected from 255 students taking a business course at a university in southern China. Hierarchical multiple regression…

A growing concern for online course learning is to what extent learners are concentrated and self-regulated when they are isolated from their classmates and instructors. To address this issue, this study collected both quantitative and qualitative data from a sample of 580 Chinese university learners from varied majors, who were taking online…