Learning engagement is one of the most important issues facing online learning, which has many distractions beyond the teacher’s control and management. This study examined teachers’ observations of their students’ engagement in online learning and their efforts to engage them. Teachers can evaluate different factors and conditions that affect students’ perceptions, engagement, motivation, and achievement. Language learning is influenced by several factors, such as teachers’ rapport and interaction with their students, students’ interaction and collaboration, and their engagement with social activities in learning situations. This qualitative multi-case study collected data from five language teachers by semi-structured interviews, teachers’ self-reports, and observational notes about their experiences of students’ engagement in their online lessons. It lasted for 15 teaching weeks in a Saudi intermediate school during the second semester of 2020-2021. The thematic analysis results in four main categories; (a) teachers’ challenges, (b) students’ responsibilities, (c) environment and system, and (d) attitude and excuses. These categories are built on 11 themes that provide insights into the factors, challenges, and threats, which influence learning engagement in online courses for teachers and students. The study recommends some techniques to maintain the learning engagement and provides some suggestions for future research.  

The importance of literacy is a competency requirement that must be possessed by students to face competition in the 21st century. This is directly related to the extent to which students' scientific thinking processes understand and solve problems. This study aims to describe how literacy is trained in learning in junior high schools. The approach used is a qualitative approach with the type of phenomenological research. The participants in this study were 5 junior high school teachers who teach in the Special Region of Yogyakarta. Data was collected through virtual interviews with the help of the Google Meet platform. The data analysis model used is the model of Bogdan and Biklen with data collection procedures, data reduction, verification and conclusion. The results showed that literacy was trained on students with the habit of reading textbooks for 15 to 30 minutes every day by reporting their readings in student journals, teacher efforts in changing project and problem-based learning methods and strategies according to student conditions, and teacher habituation in providing HOTS level questions to train students' critical thinking processes, balance theoretical understanding and understand the surrounding environment.

This study aimed to analyze the effect of game-based learning (GBL) through the use of Genially in English as a foreign language (EFL) online instruction. The participants were 61 EFL undergraduate students, who were distributed into an experimental group (32 students), and a control group (29 students). Their ages ranged from 22 to 56 years old, and their English proficiency level was B1, according to the Common European Framework of References (CEFR). The students were enrolled in two pre-intermediate courses that are part of an EFL Teaching program at a private university in southern Ecuador. The courses were delivered in an online remote learning environment due to the COVID-19 pandemic. The study followed a quasi-experimental approach and it took place over a sixteen-week period. The instruments included a diagnostic survey, a pre-test, a post-test, a students’ perceptions survey, and a semi-structured interview. The main findings revealed that Genially games have the potential to enhance EFL learners’ academic performance in online instruction, particularly in aspects related to students’ knowledge of grammar and vocabulary in context. Besides, it was found that according to students’ perceptions, the implementation of games based on their real learning needs increases their motivation, especially when feedback is effectively provided.  

Researchers have recognized the need for updates of test anxiety scales for more measurement accuracy. However, studies that investigated the measurement invariance of the Test Anxiety Inventory (TAI), and identified the latent profiles remain scare not withstanding its wide usage in Nigeria. This might have an impact on how generalizability and reliance on outcomes from such an instrument are handled. We investigated the measurement invariance of TAI and the latent profiles among Nigerian adolescents. Gender constituted our focus in the measurement invariance given its significance in test anxiety research. Adolescent students (n=539) formed the sample of our study. We employed the confirmatory factor analysis (CFA) and the latent profile analysis (LPA) to measure the invariance and identify the class profiles. We found evidence of a measurement invariance across gender in both competing models given that we obtained strict measurement invariance. We also identified a four-class profile model for both male and female students: low (17.50%; 19.00%), moderate (17.50%; 34.40%), high (36.80 %; 32.80%), and very high (12.60%; 13.80%) test anxiety profiles respectively. We concluded that while the composed factors are equivalently scaled across gender that test anxious students were not monolithic given the identified profiles.