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1. Enhancing distance learning of science—Impacts of remote labs 2.0 on students' behavioural and cognitive engagement

   https://doi.org/10.1111/jcal.12600  

   Sung, Shannon_H ; Li, Chenglu ; Huang, Xudong ; Xie, Charles ( August 2021 , Journal of Computer Assisted Learning)

   With the increasing popularity of distance education, how to engage students in online inquiry‐based laboratories remains challenging for science teachers. Current remote labs mostly adopt a centralized model with limited flexibility left for teachers' just‐in‐time instruction based on students' real‐time science practices.

   The goal of this research is to investigate the impact of a non‐centralized remote lab on students' cognitive and behavioural engagement.

   A mixed‐methods design was adopted. Participants were the high school students enrolled in two virtual chemistry classes. Remote labs 2.0, branded as Telelab, supports a non‐centralized model of remote inquiry that can enact more interactive hands‐on labs anywhere, anytime. Teleinquiry Instructional Model was used to guide the curriculum design. Students' clickstreams logs and instruction timestamps were analysed and visualized. Multiple regression analysis was used to determine whether engagement levels influence their conceptual learning. Behavioural engagement patterns were corroborated with survey responses.

   We found approximate synchronizations between student–teacher–lab interactions in the heatmap. The guided inquiry enabled by Telelab facilitates real‐time communications between instructors and students. Students' conceptual learning is found to be impacted by varying engagement levels. Students' behavioural engagement patterns can be visualized and fed to instructors to inform learning progress and enact just‐in‐time instruction.

   Telelab offers a model of remote labs 2.0 that can be easily customized to live stream hands‐on teleinquiry. It enhances engagement and gives participants a sense of telepresence. Providing a customizable teleinquiry curriculum for practitioners may better prepare them to teach inquiry‐based laboratories online.

    

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2. Supporting middle school students’ science talk: A comparison of physical and virtual labs

   https://doi.org/10.1002/tea.21664  

   Puntambekar, Sadhana ; Gnesdilow, Dana ; Dornfeld Tissenbaum, Catherine ; Narayanan, N. Hari ; Rebello, N. Sanjay ( August 2020 , Journal of Research in Science Teaching)

   Research exploring students’ learning from physical and virtual labs has suggested that on the whole, students learn science content just as well, if not better from virtual labs as they do from physical labs. However, the affordances of physical labs might support the learning of specific skills and competencies that are just as crucial for learning science. In this study, we examined students’ discussions as they worked on physical and virtual labs to better understand how they learned from each, and the kinds of learning that each type of lab supported. One hundred and fifteen 6th grade students from three science teachers’ classes participated in this study. We examined audio data from all available groups as they engaged in physical and virtual labs (n =14 groups; physical,n= 8 groups; virtual,n= 6 groups). We found that students conducting physical labs engaged in a significantly higher proportion of talk related to setting up apparatus and taking measurements and calculating outputs. Students who performed virtual labs, on the other hand, engaged in significantly more discussions about making predictions and understanding patterns of relationships between variables, and interpreting science phenomena. While students in the Virtual condition engaged in discussions that were more focused on the relationships between science ideas, students in the Physical condition learned science practices related to planning and carrying out investigations that are equally valuable. Our findings suggest that learning from one experimental modality may complement and supplement the relative weaknesses of the other, indicating a need for strategically combining the two. Implications and future directions are discussed.

    

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3. Exploring science teaching in interaction at the instructional core

   https://doi.org/10.1002/tea.21790  

   Tekkumru‐Kisa, Miray ; Akcil‐Okan, Ozlem ; Kisa, Zahid ; Southerland, Sherry ( June 2022 , Journal of Research in Science Teaching)

   Recent instructional reforms in science education aim to change the way students engage in learning in the discipline, as they describe that students are to engage with disciplinary core ideas, crosscutting concepts, and the practices of science to make sense of phenomena (NRC, 2012). For such sensemaking to become a reality, there is a need to understand the ways in which students' thinking can be maintained throughout the trajectory of science lessons. Past research in this area tends to foreground either the curriculum or teachers' practices. We propose a more comprehensive view of science instruction, one that requires attention to teachers' practice, the instructional task, and students' engagement. In this study, by examining the implementation of the same lesson across three different classrooms, our analysis of classroom videos and artifacts of students' work revealed how the interaction of teachers' practices, students' intellectual engagement, and a cognitively demanding task together support rigorous instruction. Our analyses shed light on their interaction that shapes opportunities for students' thinking and sensemaking throughout the trajectory of a science lesson. The findings provide implications for ways to promote rigorous opportunities for students' learning in science classrooms.

    

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4. Vectors of CT-ification: Integrating Computational Activities in STEM Classrooms.

   https://doi.org/10.1145/3328778.3372674  

   Bain, C. & ( April 2020 , Proceedings of tThe 51st ACM Technical Symposium on Computer Science Education)

   null (Ed.)

   While the Next Generation Science Standards set an expectation for developing computer science and computational thinking (CT) practices in the context of science subjects, it is an open question as to how to create curriculum and assessments that develop and measure these practices. In this poster, we show one possible solution to this problem: to introduce students to computer science through infusing computational thinking practices ("CT-ifying") science classrooms. To address this gap, our group has worked to explicitly characterize core CT-STEM practices as specific learning objectives and we use these to guide our development of science curriculum and assessments. However, having these learning objectives in mind is not enough to actually create activities that engage students in CT practices. We have developed along with science teachers, a strategy of examining a teacher’s existing curricula and identifying potential activities and concepts to “CT-ify”, rather than creating entirely new curricula from scratch by using the concept of scale as an “attack vector” to design science units that integrate computational thinking practices into traditional science curricula. We demonstrate how we conceptualize four different versions of scale in science, 1. Time, 2. Size, 3. Number, and 4. Repeatability. We also present examples of these concepts in traditional high school science curricula that hundreds of students in a large urban US school district have used. 

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5. Workshops and Co-design Can Help Teachers Integrate Computational Thinking into Their K-12 STEM Classes

   Wu, S. ; Peel, A. ; Bain, C. ; Anton, G. ; Horn, M. ; Wilensky, U. ( April 2020 , Proceedings of International Conference on Computational Thinking Education 2020)

   Kong, S.C. (Ed.)

   This work aims to help high school STEM teachers integrate computational thinking (CT) into their classrooms by engaging teachers as curriculum co-designers. K-12 teachers who are not trained in computer science may not see the value of CT in STEM classrooms and how to engage their students in computational practices that reflect the practices of STEM professionals. To this end, we developed a 4-week professional development workshop for eight science and mathematics high school teachers to co-design computationally enhanced curriculum with our team of researchers. The workshop first provided an introduction to computational practices and tools for STEM education. Then, teachers engaged in co-design to enhance their science and mathematics curricula with computational practices in STEM. Data from surveys and interviews showed that teachers learned about computational thinking, computational tools, coding, and the value of collaboration after the professional development. Further, they were able to integrate multiple computational tools that engage their students in CT-STEM practices. These findings suggest that teachers can learn to use computational practices and tools through workshops, and that teachers collaborating with researchers in co-design to develop computational enhanced STEM curriculum may be a powerful way to engage students and teachers with CT in K-12 classrooms. 

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