1. ABOUT THE DATASET -------------------- Title: Teacher questions in secondary biology classrooms: Making scientific practices meaningful for students Creator(s): Zhongyan Zhang Organisation(s): University of Leeds Rights-holder(s): Unless otherwise stated, Copyright 2023 University of Leeds Publication Year: 2023 Description: This research is a four-year PhD project titled "Teacher Questions in Secondary Biology Classrooms: Making Scientific Practices Meaningful for Students". The data is utilized to investigate how teachers use questions in secondary biology classrooms to engage students in scientific practices and how students perceive these questions in Xi'an City in China. The dataset is divided into three main categories: lesson data, teacher interview data and student interview data. The lesson data consists of transcriptions from 18 lessons taught by the six teachers, accompanied by their associated slides, lesson plans, and other related materials.The teacher interview data encompasses interview transcriptions and specific lesson episodes used during teacher interviews. The student interview data includes intervew transcriptions and lesson episodes used druing student interviews. Cite as: https://doi.org/10.5518/1392 Related publication: The publication are in preparation at the time of deposit. The first paper explores the complexity of teacher questions, drawing from lesson data and teacher interview data (datasets 1 and 2). The second paper examines students' perspectives on teacher questions, using both lesson data and student interview data (datasets 1 and 3). Contact: edzz@leeds.ac.uk 2. TERMS OF USE --------------- Copyright 2023 University of Leeds, Zhongyan Zhang. Unless otherwise stated, this dataset is licensed under a Creative Commons Attribution 4.0 International Licence: https://creativecommons.org/licenses/by/4.0/. 3. PROJECT AND FUNDING INFORMATION ---------------------------------- Title: Teacher Questions in Secondary Biology Classrooms: Making Scientific Practices Meaningful for Students Dates: project 10/2019-09/2023 Funding organisation: Leeds International Doctoral Scholarship 4. CONTENTS ----------- File listing Dataset 1 is about lesson data. Each zip file includes transcriptions of three lessons and some slides, photographs of lesson plans, and related work. For example, "1 Teacher_Helen lesson data" includes transcriptions of three lessons, lessons plans, slides and students' physical models. Dataset 2 is about teacher interviews. Each zip file includes interview transcriptions and lesson episodes used in the interviews. Dataset 3 is about interviews from 8 students. It includes interview transcriptions, students' drawings and episodes used in the interviews. “Coding teachers' reflections on factors influencing teacher questions” pertains to the data analysis process regarding teachers'account of how questions were affected by personal (e.g., teacher knowledge), internal (to the school) and external (e.g., national curriculum policy) factors. Data was analysed by NVivo 12. “Coding what students say about teacher questions” pertains to the data analysis process regarding students' perceptions of teacher questions, the meaning of the codes, and some examples. Data was analysed by NVivo 12. 5. METHODS ---------- - Data collection lasted nine months, beginning in March 2021 and ending in November 2021. The two main data collection methods are lesson data and interviews. All of lessons and interviews were recorded and transcribed for analysis. Slides, photographs of lesson plans, and some related work were collected, because they could provide important information about the context surrounding the questioning and teaching. - Six teachers from four schools in Xi’an City took part in this project. A standard data collection sequence of three lessons and three interviews was conducted for each teacher. Each interview lasted for about one hour, and they were all conducted online. Lesson episodes were used in the interviews. A teaching episode here refers to a classroom teaching and learning sequence that mainly represents language exchanges between the teacher and students. The average length of an episode is about five minutes. - Eight students aged 12 to 16 were selected from three teachers' classes and interviewed one-to-one. Each interview lasted for about 40 minutes, and they were all conducted online. Lesson episodes and students' drawings were used in the interviews. - PhD supervisors (Jim Ryder and Michael Inglis) were involved in study design.