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This complete research paper details an investigation into the influence of instructors' pedagogical knowledge on their classroom practices in the context of teaching first-year engineering courses. Background and Motivation: First-year engineering courses serve as the foundational setting in which students are introduced to the field of engineering as well as the pedagogies specific to engineering teaching and learning. These courses are pivotal in equipping students with essential knowledge and skills, setting the stage for their success in more advanced engineering topics. Understanding how instructors' pedagogical knowledge affects their teaching practices is crucial. Pedagogical knowledge encompasses a wide range of techniques to effectively manage a classroom and engage students. This includes the use of instructional strategies that cater to diverse student needs, the design of impactful and engaging lesson plans, etc. There is, however, limited research on how instructors’ pedagogical knowledge influences their classroom practices in first-year engineering courses. Hence, it seems opportune and essential to conduct additional research on engineering instructors' classroom practices. Research Question: The central question driving this research is: How does instructors' pedagogical knowledge influence their pedagogical practices for first-year engineering courses? Method: For this study, we chose the model of teacher professional knowledge and skill (TPK&S) that includes pedagogical content knowledge (PCK). The model recognizes the fundamental importance of pedagogical knowledge and contextualizes PCK within that framework, encompassing the intricate nature of teaching and learning. A descriptive case study was utilized as a methodology for this work to delve into the phenomenon. The context of the study was a first-year introductory engineering course offered at a large public research institution. This is a pilot study for an NSF-funded project (blinded for review), the study involved two instructors, Chandler and Joey (pseudonyms), chosen through purposive sampling, with varying levels of teaching experience. Data collection involved direct classroom observation using the Teaching Dimensions Observation Protocol (TDOP) and semi-structured interviews conducted after the observations. The interviews were conducted after classroom observations, allowing the researcher to explore specific findings from the observations. Results: Thematic analysis was used to categorize the data based on the constructs of the theoretical framework. The analysis revealed three major themes: (a) Instructors' topic-specific professional knowledge significantly influences their pedagogical practices. Both instructors adapt their teaching methods based on their understanding of course material and students' difficulties. (b) The interaction between instructors' personal pedagogical content knowledge (PCK) and the classroom context shapes their classroom practices. (c) Instructors' beliefs and prior knowledge act as amplifiers or filters based on the situation. They filter out their teaching practices that do not align with their beliefs and prior knowledge. Conclusion: The findings presented in this paper provide valuable insights into the complex interplay between instructors' pedagogical knowledge and their classroom practices. This work holds significant implications for current and future first-year instructors in that this paper will showcase how instructors use their understanding of the content and their students to teach, which is a critical aspect of helping students successfully integrate into engineering.
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This content will become publicly available on February 7, 2026
How instructors use learning analytics: the pivotal role of pedagogy
Abstract This study fills a gap in knowledge regarding experienced instructors’ use of learning analytics, focusing on differences in their approach, the knowledge and skills they activate, and the development of these knowledge and skills. Through a qualitative analysis of think-aloud interviews with 13 analytics-experienced instructors, two distinct profiles of analytics use emerged. Instructors in the first profile prioritized monitoring student engagement and performance to foster desirable behaviors, using analytics to align students with course expectations. Instructors in the second profile focused on understanding student perceptions of learning, aligning the course design with diverse learning behaviors and needs. To arrive at such use, instructors went beyond mere acquisition of technical knowledge to also integrate pedagogical knowledge into their analytics practices. Lastly, the study uncovered specific learning analytics supports, such as ongoing individual consultations, invaluable for developing the needed technical and pedagogical knowledge. Together, the results of this study reveal the pivotal role of pedagogy in analytics use, calling for refinement of conceptual models and tailoring of practical support for instructors.
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- Award ID(s):
- 1918751
- PAR ID:
- 10630979
- Publisher / Repository:
- Springer
- Date Published:
- Journal Name:
- Journal of Computing in Higher Education
- ISSN:
- 1042-1726
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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