Journal of Science Education and Technology最新文献

Abstract

Students who learn the language of instruction as an additional language represent a heterogeneous group with varying linguistic and cultural backgrounds, contributing to classroom diversity. Because of the manifold challenges these students encounter while learning the language of instruction, additional barriers arise for them when engaging in chemistry classes. Adapting teaching practices to the language skills of these students, for instance, in formative assessments, is essential to promote equity and inclusivity in chemistry learning. For this reason, novel educational practices are needed to meet each student’s unique set of language capabilities, irrespective of course size. In this study, we propose and validate several approaches to allow undergraduate chemistry students who are not yet fluent in the language of instruction to complete a formative assessment in their preferred language. A technically easy-to-implement option for instructors is to use translation tools to translate students’ reasoning in any language into the instructor’s language. Besides, instructors could also establish multilingual machine learning models capable of automatically analyzing students’ reasoning regardless of the applied language. Herein, we evaluated both opportunities by comparing the reliability of three translation tools and determining the degree to which multilingual machine learning models can simultaneously assess written arguments in different languages. The findings illustrate opportunities to apply machine learning for analyzing students’ reasoning in multiple languages, demonstrating the potential of such techniques in ensuring equal access for learners of the language of instruction.

In this descriptive analysis, we consider the experiences of students who prefer face-to-face (F2F) classes but, due to the COVID-19 pandemic, had no alternative other than taking their introductory biology class online during the 2020–2021 academic year. We conducted focus group interviews with 12 college students who enrolled in an asynchronous online introductory biology course for non-majors. We interpret their experiences through the theoretical framing of student engagement, which generally centers students as the directors of their learning experiences. However, when reflecting on their online, technologically mediated experience, our participants regarded their instructors as the hub or convener of their interactions with content, technology, and other learners. We explore the implications of these findings for engaging other students who may find themselves involuntarily online, and make recommendations for pedagogy and communication around the culture of online learning.

Abstract

There is tension about teachers’ professional use of social media platforms, such as Pinterest, to access instructional resources for teaching science. Teachers’ frequent use of Pinterest signals their perceived value despite concerns about the quality of the resources found there. These resources can constitute a part of teachers’ network of resources, contributing in some ways and constraining in others. This study seeks to contribute to the discussion about online resources through an in-depth content analysis of 438 websites on Pinterest related to two elementary science topics: adaptation and force. Findings indicate the potential of Pinterest to expand the number and variety of examples available to teachers for both topics. However, findings also demonstrate ways resources for both topics could constrain teachers’ knowledge systems: they may narrow teachers’ vision of quality science instruction to engaging in activities and the resources for both topics may constrain teachers’ knowledge of the science subject matter.

Using videos as tools for reflection has a strong grounding in the research literature. Traditionally, these videos provide representations of K-12 students interacting with one another and their teacher during small or whole group instruction and come from teachers’ own or their peers’ classrooms. More recently, online simulated classrooms have been used as practice spaces to support teachers in learning how to engage in core teaching practices, such as facilitating discussions. The purpose of this study was to explore the potential usefulness of video records generated from online simulations as a tool for self-reflection. To do so, we examined the nature of in-service elementary teachers’ self-reflections from video records of them facilitating argumentation-focused discussions with five student avatars in an online simulated classroom. Findings suggest that most teachers’ reflections on their discussion practice tended to be positive in nature. In addition, findings suggest that most in-service teachers used multiple pieces of evidence to justify their overall quality assessment of their discussion on five key dimensions of argumentation-focused discussions. The types of evidence they used were aligned with how a scoring rubric defined these dimensions but varied in nature across the participants. Finally, findings show that study participants tend to draw upon both what they and students say and do during these discussions as evidence to support their overall assertions about how well they attended to specific discussion dimensions. Implications for using videos from online teaching simulations as tools for reflection are discussed.

Science teachers have been urged to use emerging technologies, such as robots, in ways that empower K-12 students as active participants responsible for their learning and knowledge development within the scientific domain. And yet, little is known about whether the use of robots effectively supports students’ epistemic agency in science learning. The purpose of this qualitative case study was to investigate to what extent elementary preservice teachers use educational robots in ways that promote epistemic agency in science lessons. Seven data sources were gathered for this study: individual reflections about lesson planning and lesson design, team reflection about teaching with robots, robotics-enhanced science lessons, posters, video-recorded presentations about designed lessons, and participant interview. A framework of epistemic practices for science inquiry was adopted to analyze the data followed by qualitative thematic analysis. Results indicate that the use of robots in science lessons promotes content assimilation rather than self-driven inquiry, robot movement rather than evidence drives science explanations, science activities with robots are situated in a social vacuum, and robot assembly and programming are underutilized in the lessons. Implications for preservice science teacher education and future research are discussed.

In the early years, it has become essential to support the acquisition of computational thinking, which is seen as a 21st-century skill and new literacy. A valid and reliable measurement tool is needed to develop and evaluate educational practices related to these skills. TechCheck is a validated unplugged assessment of computational thinking skills for young children. (Relkin & Bers in IEEE Global Engineering Education Conference (EDUCON) in 2021 (pp. 1696–1702), 2021; Relkin et al. in Journal of Science Education and Technology 29(4):482–498, 2020). This study aims to adapt and characterize a Turkish version of TechCheck-K for children aged 5–6. Validity and reliability of the Turkish version were established through classical test theory and item response theory, as had been done for the original English language version. Based on classical test theory, the confirmatory factor analysis used A tetrachoric weighted matrix to test the instrument’s structure. The one-dimensional structure of the instrument was verified. The KR-20 reliability coefficient for the scale consisting of one dimension and 15 items was .87, which is considered an acceptable level of reliability. Rasch and 2PL models were compared with M2 statistics to determine the item and test parameters based on item response theory (IRT). The 2PL model was chosen as the best fit. Mean TechCheck scores differed based on gender, socio-economic status, past exposure to computers, and coding experience. These results indicate that the Turkish version of TechCheck-K has acceptable psychometric properties for measuring computational thinking skills in children between 5 and 6 years of age.

Involving students in laboratory and inquiry-based activities can help them understand the concepts of physics. However the learning process should not only focus on the concepts. Moreover, the advantages of using virtual or physical labs are still under examination. The purpose of this study is to analyse which of the two modes (virtual or physical) is the most effective for high-school students, in terms of conceptual understanding and attitudes. The criteria for this comparison are (a) the contribution of these two modes to the improvement of conceptual understanding and (b) the students’ attitudes towards both modes of laboratory. The participants were high-school students of 3rd grade in two different groups. For the purpose of the study, four educational scenarios were created: two in the field of Mechanics and two in that of Electricity. The study revealed no statistically significant difference regarding students’ experimenting in either lab mode. Moreover, students’ attitudes towards both virtual and physical labs were similarly positive. We assume that these results may contribute to a broader perspective on choosing the lab mode when designing activities, given the fact that both the understanding and attitudes of the students are similar in the cases examined. Thus, the final choice of modality should be based on other factors, such as the adequacy of equipment, the educational conditions (e.g. distance education) and the specific learning goals set by the teacher.

Issues-based science education represents a suite of approaches for science teaching and learning that prioritizes contextualization of learning experiences in real-world issues that are societal problems. These approaches have grown in prominence in terms of research and classroom applications over the last decade, but issues-based teaching remains challenging and has not been fully realized in educational settings. The gap between the positive potential of issues-based science education and the reality of science learning spaces creates opportunities for innovation. The purpose of this special issue is to explore ways in which educational technologies can be used to promote innovations that narrow this gap. This introduction to the special issue offers a brief overview of how technologies could be used to enhance issues-based teaching and summarizes trends that emerge across the seven articles that make up the special issue.