‘But, is it supposed to be a straight line?’ Scaffolding students’ experiences with pressure sensors and material resistance in a high school biology classroom
Bibliographic Data
| ID | 21589804 |
|---|---|
| Authors | Natalya St Clair (0000-0003-0654-1652, The Concord Consortium, Concord, MA, USA, corresponding author), A Lynn Stephens (0000-0002-4343-340X, The Concord Consortium, Concord, MA, USA), Hee‐sun Lee (0000-0002-4673-5008, The Concord Consortium, Concord, MA, USA) |
| Year | 2024 |
| Volume | 46 |
| Issue | 8 |
| Pages | 815-838 |
| Publication date | 2024-05-23 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Science Education, Part B (JOURNAL) |
| Journal identifiers | ISSN: 2154-8455 • E-ISSN: 2154-8463 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/09500693.2023.2260064 |
| OpenAlex | W4388010263 |
| Language | EN |
| Citations received | 2 |
| References cited | 25 |
This case study examines how material resistance (limitations posed by the physical world) and graph interpretation intersected during a high school biology investigation using digital sensors. We use an extended episode from a small group to illustrate how, in an inquiry-based unit, measuring near the resolution limit of a sensor caused scaling issues in graphs. Qualitative videotape analysis focuses on both the students' attempts to make sense of a perceived lack of variation in the collected data and the teacher's and classroom researchers' misinterpretation of the students' difficulties with graph interpretation. We suggest that these educators, though experienced, could have benefited from additional strategies to help them recognise and respond to graph interpretation issues introduced by digital representations of real-world data, and that the students could have benefited from explicit prompts to discuss the limitations of their equipment. We describe several implications for researchers, teachers, and curriculum developers interested in implementing inquiry-based biology investigations using sensor data. We argue that students should be supported to recognise that encountering unexpected results from their investigations and working to understand what these results have to say about the real world is an important and valid part of the practice of real science
Biology · Mathematics education · Pedagogy · Scaffold · Science education · Computer Science · Innovative Teaching Methods · Mobile Learning in Education · Psychology · Science Education and Pedagogy · Ecology
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| Citations per year | 1 |
|---|---|
| Citation span | 2024 - 2025 (2) |
| Highly cited | No |