Digital Assisted Peer Assessment and EFL Speaking Performance: A Descriptive Analysis

In the learning process, speaking is considered as one of the challenging subjects for students. The students perform low competency in speaking and some unsatisfying understanding toward aspects of speaking are noticeably evident. Also, their knowledge of grammar, pronunciation, vocabulary, accuracy, and fluency are not used appropriately. The purpose of this study is to find out the learning activities of English speaking in ways of peer assessment through digital assistance, and to observe the implementation of Digital-Assisted-Peer-Assessment towards students’ speaking performance. The researcher used Google Meet and Google Form as media. Two data collection techniques were used in this research: quantitative data obtained all activity guideline employed by pre-experimental (non-design) and observation, also the secondary qualitative data gained from the semi-structured interview. In analyzing the data, the researcher used data reduction such as coding and written summarization. The analysis of the data was conducted in descriptive analysis. This study involved 6 students in the eight semester from batch 2017 in the Department of English Language Education of Universitas Islam Negeri Ar- Raniry. The sample was chosen by using purposive sampling who fulfilled specific criteria. Yet, the result showed that one of learning media that could assist the users with gaining the utilization of the articulations in the genuine circumstance. All participants can investigate their right thoughts, sentiments, and arguments including any aspect of speaking. Students can also assess each partner's speaking ability with significantly different calculations. This corresponds to the CEFR(Common European Framework of References) rubric pattern, namely proficiency user, independent user, and basic user.