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Joe Olsen; Amy Adair; Janice Gobert; Michael Sao Pedro; Mariel O'Brien – Grantee Submission, 2022
Many national science frameworks (e.g., Next Generation Science Standards) argue that developing mathematical modeling competencies is critical for students' deep understanding of science. However, science teachers may be unprepared to assess these competencies. We are addressing this need by developing virtual lab performance assessments that…
Descriptors: Mathematical Models, Intelligent Tutoring Systems, Performance Based Assessment, Data Collection
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Hardy, Lisa; Dixon, Colin; Hsi, Sherry – Journal of the Learning Sciences, 2020
This paper contributes a theoretical framework informed by historical, philosophical and ethnographic studies of science practice to argue that data should be considered to be actively produced, rather than passively collected. We further argue that traditional school science laboratory investigations misconstrue the nature of data and overly…
Descriptors: Data Collection, Data Analysis, Science Instruction, Grade 9
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Ambrosino, Christine M.; Rivera, Malia Ana J. – Journal of Biological Education, 2022
This high school-level, place-based, inquiry-driven laboratory module familiarises students with techniques used to analyse animal behaviour while facilitating the development of the observational skills highlighted by the Next Generation Science Standards (NGSS). Throughout the module, students observe, quantify, and discuss local invertebrate…
Descriptors: High School Students, Place Based Education, Science Instruction, Science Laboratories
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Grasty, Sarah – Science Teacher, 2020
Fisheries scientists make sure that fish populations ("fisheries") are managed properly, neither over- or under-utilized, to maintain long-term economic and ecological stability. Scientists collect data and conduct surveys to determine fish populations, and then make recommendations about how many fish may be caught by commercial and…
Descriptors: Ichthyology, Animal Husbandry, Science Process Skills, Data Collection
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Wong, Wing-Kwong; Chao, Tsung-Kai; Chang, Ching-Lung; Chen, Kai-Ping – International Journal of Distance Education Technologies, 2019
There has been an ongoing debate of which physical labs or virtual labs are better. To resolve this issue, a remote lab provides an online lab that can do real experiments to obtain real data from a distant physical lab. Instead of relying on a remote lab, this article suggests that students collect experimental data locally with low-cost data…
Descriptors: Foreign Countries, Science Laboratories, Data Analysis, Scaffolding (Teaching Technique)
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Figueiredo, M.; Esteves, L.; Neves, J.; Vicente, H. – Chemistry Education Research and Practice, 2016
This study reports the use of data mining tools in order to examine the influence of the methodology used in chemistry lab classes, on the weight attributed by the students to the lab work on learning and own motivation. The answer frequency analysis was unable to discriminate the opinions expressed by the respondents according to the type of the…
Descriptors: Data Collection, Data Analysis, Chemistry, Science Instruction
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Mungan, Carl E. – Physics Education, 2012
A pair of objects on an inclined plane are connected together by a string. The upper object is then connected to a fixed post via a spring. The situation is first analysed as a classroom exercise in using free-body diagrams to solve Newton's second law for a system of objects upon which many different kinds of force are acting (string tension,…
Descriptors: Physics, Science Instruction, Science Laboratories, Motion
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Hisim, Nusret – Science Teacher, 2005
Probeware is increasingly being implemented in science classrooms because it is less expensive than it used to be and improvements in hardware and software have made it more accessible to students and teachers. Many probes or sensors can now simply be connected to a computer, calculator, or other handheld device, and will immediately begin to…
Descriptors: Teaching Methods, Science Experiments, Science Teachers, Inquiry