Higher-order thinking skills

Iran's National curriculum standards represent the guiding blueprints which provide direction for instruction and assessment nationwide. Iran's official university curriculum standards were designed by Iran's Ministry of Sciences, Research and Technologyto provide a frame of reference and guidance for the instructional materials used and decisions made by university instructors. Using a widely accepted measure of describing cognitive processes, that is,Bloom's revised taxonomy of educational objectives, thispaper aims at comparatively investigatingIran's B.A. official curriculum standards of TEFL (Teaching English as a Foreign Language) and ET (English translation). Thestandardspertaining to TEFL and ET fieldswerecontent analyzed in terms of Bloom's revised taxonomyby using a detailed checklist developedbased on the respective classification of cognitive objectives.The findings showed slight differences between both fields in terms of critical thinking skills and that lower-order cognitive skills were more prevalent than higher-order ones. Furthermore, the English translation standards pertained to critical cognitive skills in general and evaluation and creation in particular to a larger extent. Results of this study have implications for policy makers, curriculum designers, materials developers and instructors involved in language education.

This study addresses a critical need for effective curriculum alignment in higher education, particularly within Teaching English as a Foreign Language (TEFL). As educational institutions strive to enhance the quality of their programs, understanding the interconnections between intended, enacted, and assessed curricula becomes essential. This study examined the alignment among these curricula in the TEFL B.A. program at Shiraz University. Drawing on Anderson and Krathwohl's (2001) taxonomy of educational objectives, the researchers employed a mixed-methods design to analyze the cognitive processes and knowledge types in the curriculum standards, course content of instruction, and achievement tests of language teaching methodology, language testing, and linguistics courses. The qualitative content analysis revealed a notable overemphasis on lower-order thinking skills (LOTs) across all components of the courses studied. Specifically, the presence of higher-order thinking skills (HOTs) was quite limited within the curriculum standards, course content of instruction, and achievement tests. The quantitative analysis, using Porter's (2002) alignment index, further demonstrated a significant alignment (0.50) between the curriculum standards and achievement tests, but an insignificant alignment between the course content of instruction and the other two components. The findings highlight the need for policies that foster HOTs and support professional development for TEFL instructors. Educators should clarify learning objectives and align tasks with students' cognitive needs, thereby enriching TEFL curriculum design. The results advocate for integrating HOTs across the curriculum while ensuring alignment between intended, enacted, and assessed curricula. This study also contributes to ongoing research on curriculum design and implementation in TEFL higher education.

The integration of generative AI like ChatGPT into EFL pedagogy presents both opportunities for fostering higher-order thinking skills and risks to academic integrity. A research gap exists regarding the simultaneous impact of ChatGPT on the crucial triad of critical thinking, creativity, and self-reflection within the Indonesian EFL context. This study aimed to fill this gap by quantitatively measuring the effect of ChatGPT on these skills and qualitatively exploring students' perceptions of the learning process. The study used a mixed-methods sequential explanatory design. Participants were 100 undergraduate students, randomly assigned to either an experimental group (n=50) or a control group (n=50). Data were collected using three validated instruments: the Critical Thinking Scale, the Creative Thinking Scale, and the Reflective Thinking Scale. In addition, a semi-structured interview guide was used to obtain qualitative data. Quantitative data were analyzed using ANCOVA, and qualitative data using thematic analysis. The findings revealed that the ChatGPT group achieved statistically significant gains in critical, creative, and reflective thinking scores compared to the control group. Qualitative results revealed a duality in student perceptions; they valued the AI for fostering skills through idea generation and safe practice, but expressed concerns about risks such as cognitive offloading and skill atrophy.