assessment tools

Abstract Formative assessment has been often encouraged recently as a pivot component in the methodology of evaluation but the student's view of how this affects the improvement of language learning in some countries is disregarded in a way. Therefore, the following study investigates the experiences of students (pre-service teachers) in formative assessment and the tools used for its implementation. Teaching and evaluation are based on learning outcomes and students' approach to the activities that students are liable to convey in the course of English for teachers in the Department of Education. The study analyzed students' perceptions and their approach to formative assessment utilization. The Formative Assessment appears as a dignified way to raise the quality of learning, and as a result, the students achieve their goal to pass the exam successfully and get high grades. To acquaint their perspectives, 85 students as study respondents took part in the research in which both quantitative and qualitative methods were used. The quantitative research data from the questionnaire were analyzed through the SPSS platform, while the qualitative research data extracted from the focus group are presented through descriptive analysis, in the form of quotations. The findings of the questionnaires evinced the students' views on formative assessment and further, data from focus group discussions validated the reasonableness of what the students perceived in the questionnaire. Implications recommended that in addition to the tiresome work of continuously preparing during the teaching, EFL teachers are able to meet the individual needs of the students depending on the differences they have among themselves.

AI in Language Teaching, Learning, and Assessment (2024), edited by Fang Pan, offers a comprehensive and insightful exploration of how artificial intelligence (AI) is reshaping language education. The book is thoughtfully divided into three well-structured sections Preview, Perspectives, and Practice, each addressing essential dimensions of AI integration. In the Preview section, Pan examines AI's transformative role in enhancing educational delivery and personalizing learning experiences, paving the way for greater efficiency and accessibility. Subsequently, the Perspectives section collates diverse global viewpoints that critically address challenges such as algorithmic bias, data privacy, and equity concerns. Finally, the Practice section offers evidence-based case studies, showcasing tangible innovations such as adaptive tutoring systems and AI-powered assessment tools, which have demonstrated real-world impact. More importantly, Pan strikes an impressive balance between highlighting AI's vast potential and scrutinizing its ethical and practical complexities. By combining theoretical perspectives, empirical findings, and practical applications, this book stands as an essential resource for educators, researchers, and policymakers, aiming to navigate AI-driven developments in language education with both responsibility and clarity.