data-driven learning

پژوهش حاضر به بررسی تاثیر داده محور بر تشخیص و تولید هم آیی ها ی زبان آموزان با سطح توانش انگلیسی بالا و پایین متوسط پرداخت. همچنین تاثیر ثانویه داده محور بر هم آیی های ثانویه (هم آیی هایی که در واژه یاب گنجانده نشده بودند ولی به صورت مستتر در تکالیف استفاده شده بودند) نیز مورد بررسی قرار گرفت. نگرش زبان آموزان نسبت به نقش واژه یاب در یادگیری هم آیی ها و تغییر نگرش آنها در طی فرایند پژوهش نیز از طریق مصاحبه مورد ارزیابی قرار گرفت. حدود 40 زبان آموز ایرانی به دو گروه آزمایشی و گواه تقسیم شدند. هر گروه به دو زیرگروه سطح توانش بالا و پایین نیز تقسیم شدند. گروه آزمایشی به مدت 10 جلسه به واژه یاب دسترسی داشتند تا تکلیف دوباره نویسی را انجام دهند. نتایج حاکی از آن است که زبان آموزان با سطح توانش بالا بیشتر از زبان آموزان با سطح توانش پایین از تاثیر اولیه و ثانویه واژه یاب بهره مند شدند. هر دو زیرگروه، نگرش مثبتی به تاثیر واژه یاب در یادگیری هم آیی ها داشتند و این نگرش با گذر زمان پررنگتر شد.

Today, the use of technology in teaching foreign language has become a matter of considerable interest to language teachers in all over the world. The current study tried to investigate the suitability of data-driven learning in flipped and blended classes vs the conventional ones on students’ grammar learning. To run this study, 48 homogenized students were selected and divided into three groups, including two experimental and one control group, 16 in each. Before the treatment, a grammar pre-test was administered. The two experimental groups received 12 sessions of data-driven instruction in the flipped and blended classes but the control group received grammar instruction based on the textbook. At the end, statistical analysis showed that the participants in both flipped and blended groups had better performance in the post-test. It also was concluded that the usage of data-driven learning had significant impact on both experimental groups. The results of this study can be beneficial for teachers, learners, syllabus designers, managers in learning environments, and policy makers to use data driven learning.

Technology-mediated instructional activities have received increasing attention in second language acquisition (SLA) studies. Yet, research on the role of technology in language learners’ emotional intelligence has been limited. More specifically, the role of data-driven learning (DDL) using concordancing, as a technology-mediated approach to learning English, in developing emotional intelligence has been left unattended. Through a mixed-methods explanatory sequential design within a quasi-experimental comparison group pretest-posttest design, the present study examined if DDL statistically significantly influenced the English learners’ trait emotional intelligence (TEI) and its attributes, including emotionality, self-control, well-being, and sociability. The results of questionnaires, open-ended surveys, and semi-structured interviews with 92 female undergraduate English learners indicated that DDL did not statistically significantly influence their TEI and its attributes. However, in terms of well-being, learners in the experimental group were slightly higher than learners in the control group. Finally, analysis of the qualitative data pointed to an increase in the learners’ TEI through enhancing self-confidence, stress management, and emotional perception.