In this study, we described and compared an English as a foreign language (EFL) teacher’s pedagogical behaviors in traditional and problem-based learning (PBL) classroom settings in a Chinese university. In spring 2019, we collected six 45-min videos, three in each condition, covering three modules: (a) warm-up and vocabulary, (b) essay structure, and (c) writing. The analyses of the teacher’s pedagogical behaviors and her interaction with students indicated that the instructor spent most of the instructional time delivering higher-order thinking content in both traditional and PBL classes. The teacher’s activity structure influenced students’ communication mode. Although the instructor provided students with more group discussion activities in the PBL classroom, lecturing was observed to be the primary delivery method in both classes. These results suggest that the application of PBL strategies in the EFL classroom did not significantly restructure the teacher’s pedagogical behaviors, and thus, failed to achieve the goal of providing students with more opportunities for improving their expressive English language proficiency. These findings underscore the need to develop an effective PBL-related curriculum and professional development opportunities for EFL teachers to effectively implement the PBL approach in the classroom.
This study compares the science achievement growth trajectories of fifth-grade students in rural and nonrural school districts in Texas. Using a growth hierarchical linear model, we explored the effects of time, school location (rural vs. nonrural), and their interaction on students’ science performance as measured by the high-stakes State of Texas Assessment of Academic Readiness (STAAR) science test over five academic years. We found that rural school students lagged in science at the initial stage when STAAR was first administered in the 2011–2012 school year. With time, the gap between rural and nonrural district students’ science performance persisted. We further added eight district-level factors that might influence students’ academic performance into the model and found that three variables (i.e., student mobility rate, percentage of students identified ELs, and teacher turnover rate) constantly influenced students’ science scores. The implications for teaching pedagogy and research are discussed regarding science education in Texas rural districts.
This study examined psychometric properties and measurement invariance of the Motivated Strategies for Learning Questionnaire for Chinese adult learners, learning strategy scale (MSLQ-CAL-LS). Data were collected from 2499 college students from 15 Chinese universities. Results from factor analysis suggested satisfactory psychometric properties of MSLQ-CAL-LS. We further identified strong evidence to support the configural, metric, scalar and strict invariance across the gender groups, confirming the appropriate use of MSLQ-CAL-LS that can accurately capture the construct of self-regulated learning (SRL) strategies among both female and male Chinese adult learners. This study provides one step forward to measure SRL outside the Western context. Recommendations for future research are discussed.
Mathematics is a core content area in the science, technology, engineering, and mathematics (STEM) fields and is vital to student learning in the other STEM subjects. The purpose of this study was to investigate the math performance of fifth- and eighth-grade students in 1170 Texas school districts. We conducted growth hierarchical linear modeling in SAS 9.4 in order to explore the effects of time, district-level characteristics, and their interaction on student performance as measured by the State of Texas Assessments of Academic Readiness (STAAR) math test across three performance levels (i.e., approaching, meeting, and mastering grade level) over three academic years: 2016–2019. The overall findings indicated that, over time, Texas school districts improved in the percentage of students who approached, met, and mastered grade-level performance on the STAAR math test. The results also indicated that five district-level variables consistently and significantly impacted Grade 5 and 8 students’ math achievement at three performance levels. Significant positive factors included the percentage of English learner students and principal years of experience; significant negative factors were the percentage of economically challenged students, student mobility rate, and teacher turnover rate.
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