This mixed-methods research was carried out to investigate the effect of screencast video feedback on the writing of freshmen, studying academic writing course at a university in Egypt, and explore their perception towards receiving screencast feedback. Two classes of 63 students were chosen to participate in this study and were assigned into two groups; an experimental group (33 students) and a control one (30 students). While the control group received written comments, the experimental group received video feedback to the higher order concerns of writing (content, organization and structure) and written feedback to the lower order concerns (accuracy) of their writings. Two writing tests were administered to the two groups before and after the experiment. To investigate the perception towards screencast feedback, an online questionnaire was applied to the experimental group after the experiment. Results showed that the experimental group outperformed the control group in the higher order concerns of writing as well as the overall writing skill in the writing posttest. Findings also revealed that the majority of students in the experimental group perceived screencast feedback positively for being clear, personal, specific, supportive, multimodal, constructive, and engaging. However, they reported few challenges such as slow loading time and inability to download videos to their computers. The research concludes with implications for practitioners and researchers.

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This study examined the effects of Internet Reciprocal Teaching (IRT) on improving EFL secondary students' new literacies of online research and comprehension and selfefficacy on Internet. 133 students were assigned randomly to two experimental groups (n = 68) and two control groups (n = 65). The experimental groups' students received Internet reciprocal teaching instruction for 12 weeks; meanwhile, the control groups received regular reading instruction. Two formats of Online Reading Comprehension Assessment (ORCA) were used to assess students' reading comprehension before and after the experiment. A survey for Internet use was also administered to measure changes in students' frequency of Internet use and self-efficacy on Internet before and after the treatment. Independent samples t-test results of the ORCA posttest showed a significant difference between the experimental and control groups on the overall online reading comprehension and its four subskills in favor of the experimental groups. Moreover, comparing the results of the experimental and control groups on the survey after the experiment revealed that students of the experimental groups outperformed students in the control groups in self-efficacy on Internet but not on the frequency of Internet use. Pearson product-moment formula indicated that there was a significant relation between self-efficacy and reading comprehension. In addition, readers' self-efficacy was different with their proficiency levels. The study demonstrated that IRT has positive effects on improving The Effects of Internet Reciprocal Teaching on EFL Students' New Literacies of Online Comprehension and Self-Efficacy ‫بية‬ ‫الرت‬ ‫كلية‬ ‫جملة‬-‫مشس‬ ‫عني‬ ‫جامعة‬) 58) ‫العدد‬ ‫الواحد‬ ‫واألربعون‬ ‫(اجلزء‬ ‫الثان‬) 2017 students' new literacies of online research and comprehension as well as their self-efficacy on Internet use.

With the spread of the Covid-19 pandemic, many universities adopted a hybrid learning model as a substitute for a traditional one. Predicting students’ performance in hybrid environments is a complex task because it depends on extracting and analyzing different types of data: log data, self-reports, and face-to-face interactions. Students must develop Self-Regulated Learning (SRL) strategies to monitor their learning in hybrid contexts. This study aimed to predict the achievement of 82 undergraduates enrolled in a hybrid English for Business Communication course using data mining techniques. While clustering techniques were used to understand SRL patterns through classifying students with similar SRL data into clusters, classification algorithms were utilized to predict students' achievement by integrating the log files and course engagement factors. Clustering results showed that the group with high SRL achieved higher grades than the groups with medium SRL and low SRL. Classification results revealed that log data and engagement activities successfully predicted students’ academic performance with more than 88% accuracy. Therefore, this study contributes to the literature of SRL and hybrid classrooms by interpreting the predictive power of log data, self-reports, and face-to-face engagement to predict students’ achievement, a relatively unexplored area. This study recommended practical implications to promote students’ SRL and achievement in hybrid environments.

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