Investigating Students’ Learning Through Co-designing with Technology     

Wu  Jue  Atit  Kinnari  Ramey  Kay E.  Flanagan-Hall  Grace Ann  Vondracek  Mark  Jona  Kemi  Uttal  David H. 《Journal of Science Education and Technology》2021,30(4):529-538

Involving students in the co-design of educational curricula and practices can benefit both students and teachers. Students who participate in co-design may show better learning or increased agency or engagement. In the present study, we investigated what kind of science knowledge or practices can be learned by student co-designers while engaging in co-design practices and how that learning happens with six high school students. We created a model to guide the analysis of students’ learning with technology in co-designing processes. The results revealed that students learned engineering design process even if no explicit instruction on engineering learning was given. Also, our analysis suggested that co-designing with technology enabled learning of the engineering design process and potentially furthered learning of science because it promoted knowledge integration. The results have implications for understanding and enhancing engineering design and science learning through co-designing with technology.

  相似文献   

MOOCs: emerging research     

Kemi Jona 《Distance Education》2014,35(2):141-144

  相似文献   

Lessons with Living Harvest Mice: An empirical study of their effects on intrinsic motivation and knowledge acquisition     

Matthias Wilde  Jona Samuel Hußmann  Simone Lorenzen  Annika Meyer  Christoph Randler 《International Journal of Science Education》2013,35(18):2797-2810

The aim of this study was to evaluate the effects of living animals on pupils’ intrinsic motivation and knowledge. Various studies from the late 1970s and 1980s stress the high effectiveness of authentic learning experiences in pupils’ knowledge acquisition. However, there are only few current empirical studies on this topic. The research question of our study is to assess whether the use of living animals in the biology classroom supports intrinsic motivation and knowledge acquisition. In a pre-/post-test design, 185 fifth graders received two different treatments: the experimental group (N?=?74) was taught with living harvest mice (Micromys minutus) and the control group (N?=?111) received lessons with the same content which was presented in short film clips on laptop computers. Knowledge acquisition was assessed with open-ended and closed questions, while intrinsic motivation was tested with an adapted version of the Intrinsic Motivation Inventory (IMI). There were no differences in knowledge acquisition between the treatments. However, the results of the IMI showed significant differences in favour of the experimental group in interest/enjoyment, perceived competence, and perceived autonomy. Thus, living animals exert a positive influence on motivation.  相似文献   

Defining Computational Thinking for Mathematics and Science Classrooms     

David?WeintropEmail author  Elham?Beheshti  Michael?Horn  Kai?Orton  Kemi?Jona  Laura?Trouille  Uri?Wilensky

《Journal of Science Education and Technology》2016,25(1):127-147

Science and mathematics are becoming computational endeavors. This fact is reflected in the recently released Next Generation Science Standards and the decision to include “computational thinking” as a core scientific practice. With this addition, and the increased presence of computation in mathematics and scientific contexts, a new urgency has come to the challenge of defining computational thinking and providing a theoretical grounding for what form it should take in school science and mathematics classrooms. This paper presents a response to this challenge by proposing a definition of computational thinking for mathematics and science in the form of a taxonomy consisting of four main categories: data practices, modeling and simulation practices, computational problem solving practices, and systems thinking practices. In formulating this taxonomy, we draw on the existing computational thinking literature, interviews with mathematicians and scientists, and exemplary computational thinking instructional materials. This work was undertaken as part of a larger effort to infuse computational thinking into high school science and mathematics curricular materials. In this paper, we argue for the approach of embedding computational thinking in mathematics and science contexts, present the taxonomy, and discuss how we envision the taxonomy being used to bring current educational efforts in line with the increasingly computational nature of modern science and mathematics.  相似文献