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Background: Despite the many advantages of flipped learning, it is challenging for educators to ensure that students complete the pre‐class learning assignments before the in‐class session. Objectives: Using a learning analytics approach, this study analysed students' pre‐class video‐watching behaviour in flipped learning with a focus on learners' resource management strategies, procrastination, and repeated video‐watching. Methods: For the empirical study, three types of data (i.e., log data, survey and exam) were obtained from 70 undergraduate students who were enrolled in pre‐service teacher program designed in a flipped classroom including pre‐class videos and in‐class session. Results and conclusions: The findings showed significant differences between the non‐procrastination group and procrastination group in their video watching time and resource management strategies. Those who watched the pre‐class videos at home/dorm greatly outnumbered those who did not, and they performed better than students who watched the pre‐class videos in other locations. What are the major takeaways from the study?: This finding highlights the importance of resource management strategies in terms of the time and study environment to promote success in flipped learning courses. However, the number of times students accessed the pre‐class videos or watched the videos before class was not correlated with learning achievement. The reason for re‐watching pre‐class videos is a suggested future direction so instructors can design effective flipped learning courses. Lay Description: What is already known about this topic?: Flipped learning is a type of blended learning that combines two teaching and learning modes: face‐to‐face learning and online learning. The effectiveness of flipped learning has also been demonstrated in many empirical studies and meta‐analyses.Despite the many advantages of flipped learning, it is challenging to ensure that students complete the pre‐class materials before class.Data‐driven decisions based on the learning analytics approach can help instructors revise the in‐class activities more adoptively and individual learners can be more engaged in flipped learning. What this paper adds?: Using a learning analytics approach, this study analysed students' pre‐class video‐watching behaviour in flipped learning with a focus on learners' resource management strategies, procrastination, and repeated video‐watching.We also examined the correlations among pre‐class video‐watching behaviour variables and learning achievement.This study highlights the following: (1) The no‐procrastination group had better resource management strategies than the procrastination group; (2) students who watched pre‐class videos at home outperformed those who watched them in other locations: (3) the number of times students accessed pre‐class videos was not correlated with learning achievement; and (4) whether or not students watched pre‐class videos prior to the in‐class sessions was not correlated with learning achievement. Implications for practise and/or policy: Although flipped learning gives students considerable autonomy in terms of when and where to watch pre‐class videos at their convenience, it is necessary to help students develop resource management strategies by providing role models, best practises, and statistics in previous flipped learning classes.Research findings suggest that instructors should provide guidelines and learning strategies on how to review or repeat the pre‐class videos to improve the quality of learning.To encourage students to repeat the videos, the pre‐class videos should be short and concise. [ABSTRACT FROM AUTHOR]

Background: This study aims to establish the mechanism by which virtual reality (VR) media characteristics affect learning transfer in a VR‐based job‐training environment. The two main determinants of learning transfer are the technology and the learner, but not many studies have considered both factors simultaneously. Objectives: This study aims to ascertain the mechanism by which VR media characteristics affect learning transfer with flow as a mediator, and to explore whether presence moderates the effect of VR media characteristics on flow. Methods: A survey of semiconductor facilities engineers who received VR‐based job training was conducted. A total of 106 responses were used in the statistical analysis. A path analysis was conducted to determine the promotional mechanism that connects VR media characteristics, flow, and learning transfer. Results and Conclusions: The results were as follows. First, VR media characteristics had a positive impact on learning transfer. Second, flow acted as a mediator in the relationship between VR media characteristics and learning transfer. Third, presence played a moderating role in the relationship between VR media characteristics and flow. Key takeaways: This study is significant as it identifies elements to consider in relation to both the technological and learner aspects of VR while designing a VR‐based job‐training programme. A corporation should consider VR media characteristics from a technological perspective, and flow and presence from a learner's perspective. Lay Description: What is already known about this topic: Corporations provide virtual reality (VR)‐based job training because of its positive impact.Interactions between the VR environment and learners impact flow.Presence is important as learner's subjective awareness affects efficacy. What this paper adds: VR media characteristics influence learning transfer in VR‐based job training.VR media characteristics affect flow, which, in turn, affects learning transfer.Presence moderates the relationship between VR media characteristics and flow. Implications for practice and/or policy: VR media characteristics influence learning transfer in VR‐based job training.VR media characteristics affect flow, which, in turn, affects learning transfer.Presence moderates the relationship between VR media characteristics and flow. [ABSTRACT FROM AUTHOR]

Background: Language learners are taking advantage of the increased accuracy afforded by machine translation (MT) tools like Google Translate. There is a growing debate as to whether these tools support or hinder English as a foreign language (EFL) education. Some EFL students are drawn to MT tools to save time and energy when communicating, but how this use relates to second language acquisition needs to be clarified. Objective: This study investigated the perceptions and practices of MT tools among university EFL students in Saudi Arabia and South Korea. Methods: The study surveyed Saudi (n = 310) and South Korean (n = 160) university students to explore the use of MT tools in EFL learning. It used mean scores, correlation analysis, and structural equation modelling to understand the perceived benefits and limitations of MT tools and their influence on the use of translation websites. The findings were triangulated using content analysis of open‐ended items. Results and Conclusion: Findings indicate students showed a high level of acceptance and utilization of MT tools. English avoidance behaviour (B = 0.43), benefits (B = 0.32), and foreign language proficiency (B = −0.19) predicted 61% of actual use of MT tools like Google Translate. Further, students frequently used MT tools despite the reported concerns about accuracy mistakes. Saudi students listed a more comprehensive array of why they use MT tools than Korean students, while Saudis and Koreans frequently used MT tools for individual word and sentence translations. Implications: Students should edit MT output when writing and are encouraged to use the voice recording and other functions of MT tools to learn language skills. Instructors must prevent overuse and dependency on MT tools, especially among low‐proficiency students who want to avoid using English. Lay Description: What is currently known about the subject matter: Students use translation tools to complete foreign language assignmentsStudents have a positive view towards translation toolsInstructors have mixed feelings on their students' use of translation tools What their paper adds to this: A mixed method study to learn strengths and limitations with translation toolsCross‐cultural study to compare perceptions from two regionsIdentified benefits to pronunciation skills through voice recording functionsLimitations with translation accuracy did not negatively influence actual use Implications of study findings for practitioners: Identified benefits with translation tools can be applied to writing instructionLimitations identified including over‐dependency and cheating should be avoidedStudents are recommended to use the speech function to practice pronunciationPost‐editing (revising) is an important part of using translation tools [ABSTRACT FROM AUTHOR]

Background: Due to the global COVID‐19 pandemic, online learning became the only way to learn during this unprecedented crisis. This study began with a simple but vital question: What factors influenced the success of online learning during the COVID‐19 pandemic with a focus on online learning self‐efficacy? Objectives: The purpose of this study was to examine the structural relationship among self‐efficacy (SE) in time management, SE in technology use, SE in an online learning environment, and learning engagement. Methods: The participants of the study were 1205 undergraduates who were enrolled in a residential undergraduate program in South Korea in spring semester, 2020. The online survey was administered to collect data for this research and the survey results were analyzed using structural equation modeling. Results and Conclusions: SE in technology use had a significant but negative influence on learning engagement and had a positive impact on SE in an online learning environment. SE in time management had a significant positive impact on SE in an online learning environment and learning engagement. SE in an online learning environment also significantly influenced learning engagement. Implications: SE in technology use itself did not enhance learning engagement. In addition, indirect effects of SE in technology use and SE in time management on learning engagement through SE in an online learning environment were confirmed in this study. This indicates the influential role of SE in an online learning environment on learning engagement of online learners. Lay Description: What is already known about this topic: COVID‐19 forced almost all students to learn online.Time management plays a major role in the success of online learning.Technology self‐efficacy is a requirement in online learning.The learning engagement variable explains learning achievement and attitudes. What this paper adds: Self‐efficacy (SE) in time management and SE in technology use enhanced SE in an online learning environment.SE in technology use itself did not enhance learning engagement.SE in time management and in SE an online learning environment significantly influenced learning engagement.SE in an online learning environment mediated the relationship between SE in technology use and learning engagement as well as between SE in time management and learning engagement. Implications for practice and/or policy: It is important to promote students' online learning self‐efficacy to enhance learning engagement in online learning.Practitioners should be aware that SE in technology use improves learning engagement through SE in an online learning environment.SE in time management should be promoted for successful online learning. [ABSTRACT FROM AUTHOR]

During the COVID‐19 outbreak, students had to cope with succeeding in video‐conferencing classes susceptible to technical problems like choppy audio, frozen screens and poor Internet connection, leading to interrupted delivery of facial expressions and eye‐contact. For these reasons, agentic engagement during video‐conferencing became critical for successful learning outcomes. This study explores the mediating effect agentic engagement has on collaborative language learning orientations (CLLO) within an EFL video‐conferencing course to understand better how interactions influence academic learning expectations. A total of 329 (Male = 132, Female = 197) students were recruited from four South Korean universities to participate in this questionnaire study. Data analysis was carried out using the statistical software packages SPSS, and a series of data screening procedures were carried out. Findings revealed that collaborative language learning orientations were a statistically significant predictor of academic learning expectations, but this relationship was fully mediated when agentic engagement was added to the model. Students with a propensity for social language learning strategies believe they will succeed; however, this relationship is explained by their propensity to interact with the instructor when video‐conferencing. An assortment of learning activities should be provided to support both collaborative and individual learning orientations for academic success. Students with collaborative learning tendencies and a propensity to actively engage the instructor during video conference classes are active participants in the eLearning context, possibly leading to positive course expectations. Lay Description: What is already known about this topic: Students are unwilling to speak up during videoconference classes.Agentic engagement predicts academic achievement.Collaborative language learning orientation (CLLO) fosters second language acquisition.Learning expectations predict course satisfaction. What this paper adds: Videoconference class expectations depends on collaborative and extravert behavior.Engaging others during videoconference class increases learning expectations.Agentic engagement mediates path between CLLO and learning expectations.Collaborative, extravert learners have an inherent advantage when videoconferencing. Implications for practice and/or policy: Videoconference classes need to train students early on how to engage others.Videoconference lesson plans must consider agentic, collaborative learning tasks.Instructors facilitate engagement by creating a safe space for participation. [ABSTRACT FROM AUTHOR]