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1. A New Paradigm for Research-Based Assessment Development

   https://doi.org/10.1119/perc.2022.pr.Laverty  

   Laverty, James T.; Sirnoorkar, Amogh; Jambuge, Amali Priyanka; Rainey, Katherine D.; Weaver, Joshua; Adamson, Alexander; Wilcox, Bethany R. (January 2022, Physics Education Research Conference Proceedings)

   Research based assessments have a productive and storied history in PER. While useful for conducting research on student learning, their utility is limited for instructors interested in improving their own courses. We have developed a new assessment design process that leverages three-dimensional learning, evidence-centered design, and self-regulated learning to deliver actionable feedback to instructors about supporting their students' learning. We are using this approach to design the Thermal and Statistical Physics Assessment (TaSPA), which also allows instructors to choose learning goals that align with their teaching. Perhaps more importantly, this system will be completely automated when it is completed, making the assessment scalable with minimal burden on instructors and researchers. This work represents an advancement in how we assess physics learning at a large scale and how the PER community can better support physics instructors and students. 

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2. Board 110: Work in Progress: Elementary Students’ Disciplinary Talk in a Classroom with an Explicit Engineering Decision-making Scaffold

   https://doi.org/10.18260/1-2--32188  

   Batrouny, Nicole; Miel, Karen; Wendell, Kristen (June 2019, ASEE Conferences)

   While engineering grows as a part of elementary education, important questions arise about the skills and practices we ask of students. Both collaboration and decision making are complex and critical to the engineering design process, but come with social and emotional work that can be difficult for elementary students to navigate. Productive engagement in collaborative teams has been seen to be highly variable; for some teams, interpersonal conflicts move the design process forward, while for others they stall the process. In this work in progress, we are investigating the research question, what is the nature of students’ disciplinary talk during scaffolded decision making? We explore this research question via a case study of one student group in a 4th-grade classroom enrolled in an outreach program run by a private university in a Northeastern city. This program sends pairs of university students into local elementary schools to facilitate engineering in the classroom for one hour per week. This is the only engineering instruction the elementary students receive and the engineering curriculum is planned by the university students. For the implementation examined in this study, the curriculum was designed by two researchers to scaffold collaborative groupwork and decision making. The instruction was provided by an undergraduate and one of the researchers, a graduate student. The scaffolds designed for this semester of outreach include a set of groupwork norms and a decision matrix. The groupwork norms were introduced on the first day of instruction; the instructors read them aloud, proposed groupwork scenarios to facilitate a whole class discussion about whether or not the norms were followed and how the students could act to follow the norms, and provided time for students to practice the norms in their engineering design groups for the first project. For the rest of the semester, an anchor chart of the norms was displayed in the classroom and referenced to encourage consensus. The researchers designed the decision matrix scaffold to encourage design decisions between multiple prototypes based on problem criteria and test results. Instructors modeled the use of this decision matrix on the third day of instruction, and students utilized the matrix in both design projects of the semester. Data sources for this descriptive study include students’ written artifacts, photos of their design constructions, and video records of whole-class and team discourse. We employ qualitative case study and microethnographic analysis techniques to explore the influence of the intentional discourse scaffolds on students’ collaborative and decision-making practices. Our analysis allowed us to characterize the linguistic resources (including the decision matrix) that the students used to complete four social acts during decision making: design evaluation, disagreeing with a teammate, arguing for a novel idea, and sympathizing with a design. This research has implications for the design of instructional scaffolds for engineering curricula at the elementary school level, whether taking place in an outreach program or in regular classroom instruction. 

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3. Knowledge-Based Design Analytics for Authoring Courses with Smart Learning Content

   https://doi.org/10.1007/s40593-021-00253-3  

   Albó, Laia; Barria-Pineda, Jordan; Brusilovsky, Peter; Hernández-Leo, Davinia (May 2021, International Journal of Artificial Intelligence in Education)

   null (Ed.)

   Over the last 10 years, learning analytics have provided educators with both dashboards and tools to understand student behaviors within specific technological environments. However, there is a lack of work to support educators in making data-informed design decisions when designing a blended course and planning appropriate learning activities. In this paper, we introduce knowledge-based design analytics that uncover facets of the learning activities that are being created. A knowledge-based visualization is integrated into edCrumble, a (blended) learning design authoring tool. This new approach is explored in the context of a higher education programming course, where instructors design labs and home practice sessions with online smart learning content on a weekly basis. We performed a within-subjects user study to compare the use of the design tool both with and without visualization. We studied the differences in terms of cognitive load, controllability, confidence and ease of choice, design outcomes, and user actions within the system to compare both conditions with the objective of evaluating the impact of using design analytics during the decision-making phase of course design. Our results indicate that the use of a knowledge-based visualization allows the teachers to reduce the cognitive load (especially in terms of mental demand) and that it facilitates the choice of the most appropriate activities without affecting the overall design time. In conclusion, the use of knowledge-based design analytics improves the overall learning design quality and helps teachers avoid committing design errors. 

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4. WIP: Instances of Dynamic Pedagogical Decision Making in the Uptake of a Technology Tool

   Harpreet Auby; John Galisky; Susan Nolen; Milo Koretsky (June 2022, ASEE Annual Conference proceedings)

   In this work-in-progress paper, we continue investigation into the propagation of the Concept Warehouse within mechanical engineering (Friedrichsen et al., 2017; Koretsky et al., 2019a). Even before the pandemic forced most instruction online, educational technology was a growing element in classroom culture (Koretsky & Magana, 2019b). However, adoption of technology tools for widespread use is often conceived from a turn-key lens, with professional development focused on procedural competencies and fidelity of implementation as the goal (Mills & Ragan, 2000; O’Donnell, 2008). Educators are given the tool with initial operating instructions, then left on their own to implement it in particular instructional contexts. There is little emphasis on the inevitable instructional decisions around incorporating the tool (Hodge, 2019) or on sustainable incorporation of technologies into existing instructional practice (Forkosh-Baruch et al., 2021). We consider the take-up of a technology tool as an emergent, rather than a prescribed process (Henderson et al., 2011). In this WIP paper, we examine how two instructors who we call Al and Joe reason through their adoption of a technology tool, focusing on interactions among instructors, tool, and students within and across contexts. The Concept Warehouse (CW) is a widely-available, web-based, open educational technology tool used to facilitate concept-based active learning in different contexts (Friedrichsen et al., 2017; Koretsky et al., 2014). Development of the CW is ongoing and collaboration-driven, where user-instructors from different institutions and disciplines can develop conceptual questions (called ConcepTests) and other learning and assessment tools that can be shared with other users. Currently there are around 3,500 ConcepTests, 1,500 faculty users, and 36,000 student users. About 700 ConcepTests have been developed for mechanics (statics and dynamics). The tool’s spectrum of affordances allows different entry points for instructor engagement, but also allows their use to grow and change as they become familiar with the tool and take up ideas from the contexts around them. Part of a larger study of propagation and use across five diverse institutions (Nolen & Koretsky, 2020), instructors were introduced to the tool, offered an introductory workshop and opportunity to participate in a community of practice (CoP), then interviewed early and later in their adoption. For this paper, we explore a bounded case study of the two instructors, Al and Joe, who took up the CW to teach Introductory Statics. Al and Joe were experienced instructors, committed to active learning, who presented examples from their ongoing adaptation of the tool for discussion in the community of practice. However, their decisions about how to integrate the tool fundamentally differed, including the aspects of the tool they took up and the ways they made sense of their use. In analyzing these two cases, we begin to uncover how these instructors navigated the dynamic nature of pedagogical decision making in and across contexts. 

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5. Meta-AR-App: An Authoring Platform for Collaborative Augmented Reality in STEM Classrooms

   https://doi.org/10.1145/3313831.3376146  

   Ana Villanueva, Zhengzhe Zhu (April 2020, Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems)

   null (Ed.)

   Augmented Reality (AR) has become a valuable tool for education and training processes. Meanwhile, cloud-based technologies can foster collaboration and other interaction modalities to enhance learning. We combine the cloud capabilities with AR technologies to present Meta-AR-App, an authoring platform for collaborative AR, which enables authoring between instructors and students. Additionally, we introduce a new application of an established collaboration process, the pull-based development model, to enable sharing and retrieving of AR learning content. We customize this model and create two modalities of interaction for the classroom: local (student to student) and global (instructor to class) pull. Based on observations from our user studies, we organize a four-category classroom model which implements our system: Work, Design, Collaboration, and Technology. Further, our system enables an iterative improvement workflow of the class content and enables synergistic collaboration that empowers students to be active agents in the learning process. 

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