Questioning is a critical instructional strategy for teachers to support students’ knowledge construction in inquiry-oriented science teaching. Existing literature has delineated the characteristics and functions of effective questioning strategies. However, attention has been primarily cast on the format of questioning like open-ended questions in prompting student interactions or class discourses, but not much on science content embedded in questions and how they guide students toward learning objectives. Insufficient attention has been cast on the connection between a chain of questions used by a teacher in the attempt to scaffold student conceptual understanding, especially when students encounter difficulties. Furthermore, existing methods of question analysis from massive information of class discourses are unwieldy for large-scale analysis. Science teacher education needs an instrument to assess a large sample of Pre-service Teachers’ (PST) competencies of not only asking open-ended questions to solicit students’ thoughts but also analyzing the information collected from students’ responses and determining the logical of consecutive responses. This study presented such an instrument for analyzing patterns of 60 PST’s questioning chains from when they taught a science lesson during a methods course and another lesson during student teaching. Cohen’s Kappa was conducted to examine the inter-rater reliability of the coders. The PST’s orientations from the two videos were determined and the correlation between them was compared to test the validity of this instrument. Consideration of the data from this instrument identified patterns of the PSTs’ science teaching, discussed the importance of guiding questions in inquiry teaching, and suggested quantitative studies with this instrument.
What and how teachers learn through teaching without external guidance has long been of interest to researchers. Yet limited research has been conducted to investigate how learning through teaching occurs. The microgenetic approach (Siegler and Crowley, American Psychologist 46:606–620, 1991) has been useful in identifying the process of student learning. Using this approach, we investigated the development of teacher knowledge through teaching as well as which factors hinder or promote such development.
Our findings suggest that teachers developed various components of teacher knowledge through teaching without external professional guidance. Further, we found that the extent to which teachers gained content-free or content-specific knowledge through teaching depended on their robust understanding of the concept being taught (i.e., content knowledge), the cognitive demand of the tasks used in teaching, and the lesson structure chosen (i.e., student centered vs. teacher centered).
In this study, we explored teacher learning through teaching and identified the sources leading to such learning. Our findings underscore the importance of teachers’ robust understanding of the content being taught, the tasks used in teaching, and a lesson structure that promotes teachers’ learning through teaching on their own.
- PAR ID:
- 10521875
- Publisher / Repository:
- Springer Science + Business Media
- Date Published:
- Journal Name:
- International Journal of STEM Education
- Volume:
- 11
- Issue:
- 1
- ISSN:
- 2196-7822
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Abstract Background STEM instructors who leverage student thinking can positively influence student outcomes and build their own teaching expertise. Leveraging student thinking involves using the substance of student thinking to inform instruction. The ways in which instructors leverage student thinking in undergraduate STEM contexts, and what enables them to do so effectively, remains largely unexplored. We investigated how undergraduate STEM faculty leverage student thinking in their teaching, focusing on faculty who engage students in work during class.
Results From analyzing interviews and video of a class lesson for eight undergraduate STEM instructors, we identified a group of instructors who exhibited high levels of leveraging student thinking (high-leveragers) and a group of instructors who exhibited low levels of leveraging student thinking (low-leveragers). High-leveragers behaved as if student thinking was central to their instruction. We saw this in how they accessed student thinking, worked to interpret it, and responded in the moment and after class. High-leveragers spent about twice as much class time getting access to detailed information about student thinking compared to low-leveragers. High-leveragers then altered instructional plans from lesson to lesson and during a lesson based on their interpretation of student thinking. Critically, high-leveragers also drew on much more extensive knowledge of student thinking, a component of pedagogical content knowledge, than did low-leveragers. High-leveragers used knowledge of student thinking to create access to more substantive student thinking, shape real-time interpretations, and inform how and when to respond. In contrast, low-leveragers accessed student thinking less frequently, interpreted student thinking superficially or not at all, and never discussed adjusting the content or problems for the following lesson.
Conclusions This study revealed that not all undergraduate STEM instructors who actively engage students in work during class are also leveraging student thinking. In other words, not all student-centered instruction is student-thinking-centered instruction. We discuss possible explanations for why some STEM instructors are leveraging student thinking and others are not. In order to realize the benefits of student-centered instruction for undergraduates, we may need to support undergraduate STEM instructors in learning how to learn from their teaching experiences by leveraging student thinking.
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Abstract This inquiry examined the pedagogical practices in mathematics of elementary teachers (
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Background/Context: Schools are increasingly using scripted curricula that limit teacher autonomy. These limitations are exacerbated when scripted curricula are enacted in fully standardized, asynchronous online course environments with no mechanisms for student–teacher communication.
Purpose: This study extends understanding of how teacher discretion, identity, and the relationship between those two components shape students’ educational experiences online.
Research Design: Within a sequential mixed method design, we identified spaces for teacher discretion using critical discourse analysis. By coding lesson transcripts, we developed a typology of common strategies: friendly, directive, personalized, and procedural. We used the resulting typology to run statistical models examining associations among teacher identity, discretionary acts, and student achievement. Lastly, we turned back to the qualitative data to confirm findings, test hypotheses, and provide nuance.
Findings: Teachers presenting as Black were significantly more likely to use a procedural approach and significantly less likely to use friendly strategies. Students scored higher on their end-of-lesson quiz when their teacher used personalized strategies, such as sharing relevant personal experiences, and scored lower when teachers used friendly or directive strategies.
Conclusions: Findings have implications for understanding and enacting equitable educational practices in asynchronous, scripted online environments. The isolation of discretionary acts feasible within the virtual learning environment studied contributes nuance to knowledge of the mechanisms through which teacher discretion might result in more favorable learning outcomes for students belonging to minoritized groups.
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