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Much research has examined the incorporation of academic and scientific writing in science learning. However, less research has applied a narrative approach that represents events in a time sequence. Furthermore, modern technology has greatly extended students’ modes of science expression beyond the printed texts. Yet, connecting students’ rich experience in digital storytelling with their academic learning in science is still an area of needed research. This study focused on analyzing the products students generated as a way to examine how they integrated science in their multimodal sci-fi narratives. These narratives were created in a program designed to engage adolescents in integrated STEM and digital literacy learning. More specifically, this study developed a two-dimensional framework (science and integration) to evaluate the 35 products produced by 136 participants in 5 iterations of the program. Content and thematic analyses revealed that a wide variety of sophisticated mechanisms was applied for science integration, including: (1) building connections among diverse science topics; (2) leveraging innovative narrative techniques; (3) responding critically to socio-scientific problems; and (4) designing and redesigning multimodal elements.

 

Research focusing on the integration of computational thinking (CT) into science, technology, engineering, and mathematics (STEM) education started to emerge. We conducted a semi-systematic literature review on 55 empirical studies on this topic. Our findings include: (a) the majority of the studies adopted domain-general definitions of CT and a few proposed domain-specific CT definitions in STEM education; (b) the most popular instructional model was problem-based instruction, and the most popular topic contexts included game design, robotics, and computational modelling; (c) while the assessments of student learning in integrated CT and STEM education targeted different objectives with different formats, about a third of them assessed integrated CT and STEM; (d) about a quarter of the studies reported differential learning processes and outcomes between groups, but very few of them investigated how pedagogical design could improve equity. Based on the findings, suggestions for future research and practice in this field are discussed in terms of operationalizing and assessing CT in STEM contexts, instructional strategies for integrating CT in STEM, and research for broadening participation in integrated CT and STEM education. 

Science identity has been widely discussed in recent years; however, research on its development in multimodal composing environments, especially in formal classroom settings, has yet to be fully investigated. This qualitative study unraveled the science identity development of sixth-grade students as they created multimodal science fiction stories in a STEAM course. Thirty-two students enrolled in the course and worked in groups of 3–5, and each student self-selected one of three roles: designer, scientist, or writer. This study focused on the students (n = 9) who took the role of scientist and examined their science identity development. Data sources include digital surveys, semi-structured group interviews, and multimodal artifacts. Our qualitative analysis suggests that (a) composing with modes of choices could drive interests in science; (b) students connected science practices in classrooms with those in professional domains through taking the role of scientist; (c) taking hybrid roles (i.e., a combination of scientist and other roles) while composing with multiple modes contributed to the recognition of science in non-science careers. Based on these findings, we discuss the implications for cultivating positive science identities and engaging early adolescents in career exploration. 

In this paper, we demonstrate how machine learning could be used to quickly assess a student’s multimodal representational thinking. Multimodal representational thinking is the complex construct that encodes how students form conceptual, perceptual, graphical, or mathematical symbols in their mind. The augmented reality (AR) technology is adopted to diversify student’s representations. The AR technology utilized a low-cost, high-resolution thermal camera attached to a smartphone which allows students to explore the unseen world of thermodynamics. Ninth-grade students (N= 314) engaged in a prediction–observation–explanation (POE) inquiry cycle scaffolded to leverage the augmented observation provided by the aforementioned device. The objective is to investigate how machine learning could expedite the automated assessment of multimodal representational thinking of heat energy. Two automated text classification methods were adopted to decode different mental representations students used to explain their haptic perception, thermal imaging, and graph data collected in the lab. Since current automated assessment in science education rarely considers multilabel classification, we resorted to the help of the state-of-the-art deep learning technique—bidirectional encoder representations from transformers (BERT). The BERT model classified open-ended responses into appropriate categories with higher precision than the traditional machine learning method. The satisfactory accuracy of deep learning in assigning multiple labels is revolutionary in processing qualitative data. The complex student construct, such as multimodal representational thinking, is rarely mutually exclusive. The study avails a convenient technique to analyze qualitative data that does not satisfy the mutual-exclusiveness assumption. Implications and future studies are discussed. 

This article describes how middle school students collaborated in small groups to propose creative solutions to a variety of socioscientific issues through composing digital multimodal science fictions. In particular, we illustrate the various ways students explored socioscientific issues (e.g., climate change) through their multimodal sci-fi narratives, embodied different roles (e.g., scientist, designer, and writer) while collaboratively composing, and infused elements of their identities into their sci-fis. We conclude by discussing key strategies for integrating collaborative multimodal sci-fi narratives into different classroom contexts in order to support adolescents in creatively exploring and proposing solutions to challenging socioscientific issues.