درخت حوزه‌های تخصصی

Many scholars have long contributed to making the instruction of oral production more effectively. This study compared three task types (information-gap, reasoning-gap, and opinion-gap tasks) and two cognitive styles (field-independence and field-dependence) regarding their effects on English as a foreign language (EFL( learners’ oral production linguistic complexity. The current study was quantitative in research methodology and followed the comparison group design. Initially, 230 Iranian learners were selected using convenience sampling. After the participants sat the proficiency test, the number of participants was reduced to 180 BA students at the university of Mohaghegh Ardabili and Islamic Azad University, Ardabil Branch. They were randomly divided into six experimental groups. Two groups were randomly assigned to field-independent (FI) and field-dependent (FD) information-gap tasks, the next two groups to FI and FD reasoning-gap tasks, and the other two groups to FI and FD opinion-gap task types. Each group consisted of 30 advanced EFL learners and was taught oral production using one of the above-mentioned task types. Michigan test of English Language Proficiency test (Phakiti, 2003) and group embedded figures test (Witkin et al., 1971) were used to determine proficiency level and measure cognitive styles. A two-way ANCOVA (analysis of covariance) procedure was run to examine the data. The results revealed significant differences among task types and cognitive styles, with FD learners and opinion-gap task being the most effective on EFL Learners' oral production linguistic complexity. The interaction between cognitive styles and task types is more likely to account for language learners’ oral performance.

In early 2020, the coronavirus outbreak compelled higher education institutions worldwide to cancel campus-based teaching and conduct a variety of electronic learning which led to assessment of the quality of e-learning and its results, such as learning and self-efficacy. Thus, this study aimed to determine the effect of problem-based e-learning (PBe-L) on the learning and academic efficacy of students during the COVID-19 pandemic in ‘An Introduction of Educational Technology Course’. The research method was quasi-experimental with pre-test/ post-test design with experimental and control groups. The statistical population of this study consisted of undergraduate students in the field of educational sciences studying in the University of Tehran. 38 students were selected as the research sample using the available sampling method and were randomly divided into experimental and control groups. PBe-L was conducted for the experimental group and the control group experienced the direct learning approach. A researcher-made learning test and Morgan-Jinks Student Efficacy Scale (1999) were used. The results showed that the mean of learning and self-efficacy of the experimental group increased from 7.92 and 57.00 in the pre-test to 18.51 and 76.57 in the post-test respectively. The results of covariance showed that the mean scores of the post-test of the two groups were statistically significant (p≥0.005). The results of this study showed that the use of PBe-L during the COVID-19 pandemic can be effective in increasing the students’ learning and academic efficacy.