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1. Exploring social and cognitive engagement in small groups through a community of learners (CoL) lens

   Nennig, H. ; States, N. ; Macrie-Shuck, M. ; Fateh, S. ; Gunes, Z. ; Cole, R. ; Rushton, G. ; Shah, L. ; Talanquer, V. ( June 2023 , Chemistry Education Research and Practice)

   A variety of research studies reveal the advantages of actively engaging students in the learning process through collaborative work in the classroom. However, the complex nature of the learning environment in large college general chemistry courses makes it challenging to identify the different factors that affect students’ cognitive and social engagement while working on in-class tasks. To provide insights into this area, we took a closer look at students’ conversations during in-class activities to characterize typical discourse patterns and expressed chemical thinking in representative student groups in samples collected in five different learning environments across four universities. For this purpose, we adapted and applied a ‘Community of Learners’ (CoL) theoretical perspective to characterize group activity through the analysis of student discourse. Within a CoL perspective, the extent to which a group functions as a community of learners is analyzed along five dimensions including Community of Discourse (CoD), Legitimization of Differences (LoD), Building on Ideas (BoI), Reflective Learning (RL), and Community of Practice (CoP). Our findings make explicit the complexity of analyzing student engagement in large active learning environments where a multitude of variables can affect group work. These include, among others, group size and composition, the cognitive level of the tasks, the types of cognitive processes used to complete tasks, and the motivation and willingness of students to substantively engage in disciplinary reasoning. Our results point to important considerations in the design and implementation of active learning environments that engage more students with chemical ideas at higher levels of reasoning. 

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2. Investigating patterns of student engagement during collaborative activities in undergraduate chemistry courses

   https://doi.org/10.1039/D1RP00227A  

   Reid, Joshua W. ; Kirbulut Gunes, Zubeyde Demet ; Fateh, Shaghayegh ; Fatima, Adan ; Macrie-Shuck, Michael ; Nennig, Hannah T. ; Quintanilla, Fabrizzio ; States, Nicole E. ; Syed, Ahmad ; Cole, Renee ; et al ( January 2022 , Chemistry Education Research and Practice)

   Several studies have highlighted the positive effects that active learning may have on student engagement and performance. However, the influence of active learning strategies is mediated by several factors, including the nature of the learning environment and the cognitive level of in-class tasks. These factors can affect different dimensions of student engagement such as the nature of social processing in student groups, how knowledge is used and elaborated upon by students during in-class tasks, and the amount of student participation in group activities. In this study involving four universities in the US, we explored the association between these different dimensions of student engagement and the cognitive level of assigned tasks in five distinct general chemistry learning environments where students were engaged in group activities in diverse ways. Our analysis revealed a significant association between task level and student engagement. Retrieval tasks often led to a significantly higher number of instances of no interaction between students and individualistic work, and a lower number of knowledge construction and collaborative episodes with full student participation. Analysis tasks, on the other hand, were significantly linked to more instances of knowledge construction and collaboration with full group participation. Tasks at the comprehension level were distinctive in their association with more instances of knowledge application and multiple types of social processing. The results of our study suggest that other factors such as the nature of the curriculum, task timing, and class setting may also affect student engagement during group work. 

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3. “I Understand Their Frustrations a Little Bit Better”: Elementary Teachers’ Affective Stances in Engineering in an Online Learning Program

   https://doi.org/10.18260/1-2--33969  

   Portsmore, Merredith ; Watkins, Jessica ; Swanson, Rebecca ( January 2020 , ASEE annual conference)

   As K-12 engineering education becomes more ubiquitous in the U.S, increased attention has been paid to preparing the heterogeneous group of in-service teachers who have taken on the challenge of teaching engineering. Standards have emerged for professional development along with research on teacher learning in engineering that call for teachers to facilitate and support engineering learning environments. Given that many teachers may not have experienced engineering practice calls have been made to engage teaches K-12 teachers in the “doing” of engineering as part of their preparation. However, there is a need for research studying more specific nature of the “doing” and the instructional implications for engaging teachers in “doing” engineering. In general, to date, limited time and constrained resources necessitate that many professional development programs for K-12 teachers to engage participants in the same engineering activities they will enact with their students. While this approach supports teachers’ familiarity with curriculum and ability to anticipate students’ ideas, there is reason to believe that these experiences may not be authentic enough to support teachers in developing a rich understanding of the “doing” of engineering. K-12 teachers are often familiar with the materials and curricular solutions, given their experiences as adults, which means that engaging in the same tasks as their students may not be challenging enough to develop their understandings about engineering. This can then be consequential for their pedagogy: In our prior work, we found that teachers’ linear conceptions of the engineering design process can limit them from recognizing and supporting student engagement in productive design practices. Research on the development of engineering design practices with adults in undergraduate and professional engineering settings has shown significant differences in how adults approach and understand problems. Therefore, we conjectured that engaging teachers in more rigorous engineering challenges designed for adult engineering novices would more readily support their developing rich understandings of the ways in which professional engineers move through the design process. We term this approach meaningful engineering for teachers, and it is informed by work in science education that highlights the importance of learning environments creating a need for learners to develop and engage in disciplinary practices. We explored this approach to teachers’ professional learning experiences in doing engineering in an online graduate program for in-service teachers in engineering education at Tufts University entitled the Teacher Engineering Education Program (teep.tufts.edu). In this exploratory study, we asked: 1. How did teachers respond to engaging in meaningful engineering for teachers in the TEEP program? 2. What did teachers identify as important things they learned about engineering content and pedagogy? This paper focuses on one theme that emerged from teachers’ reflections. Our analysis found that teachers reported that meaningful engineering supported their development of epistemic empathy (“the act of understanding and appreciating someone's cognitive and emotional experience within an epistemic activity”) as a result of their own affective experiences in doing engineering that required significant iteration as well as using novel robotic materials. We consider how epistemic empathy may be an important aspect of teacher learning in K-12 engineering education and the potential implications for designing engineering teacher education. 

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4. Board 418: Understanding Context: Propagation and Effectiveness of the Concept Warehouse in Mechanical Engineering at Five Diverse Institutions and Beyond – Results from Year 4

   Self, B. P. ; Koretsky, M. ; Nolen, S. B. ; Dal Bello, D. J. ; Widmann, J. M. ; Prince, M. J. ; Papadopoulos, C. ( June 2023 , 2023 ASEE Annual Conference & Exposition)

   Several consensus reports cite a critical need to dramatically increase the number and diversity of STEM graduates over the next decade. They conclude that a change to evidence-based instructional practices, such as concept-based active learning, is needed. Concept-based active learning involves the use of activity-based pedagogies whose primary objectives are to make students value deep conceptual understanding (instead of only factual knowledge) and then to facilitate their development of that understanding. Concept-based active learning has been shown to increase academic engagement and student achievement, to significantly improve student retention in academic programs, and to reduce the performance gap of underrepresented students. Fostering students' mastery of fundamental concepts is central to real world problem solving, including several elements of engineering practice. Unfortunately, simply proving that these instructional practices are more effective than traditional methods for promoting student learning, for increasing retention in academic programs, and for improving ability in professional practice is not enough to ensure widespread pedagogical change. In fact, the biggest challenge to improving STEM education is not the need to develop more effective instructional practices, but to find ways to get faculty to adopt the evidence-based pedagogies that already exist. In this project we seek to propagate the Concept Warehouse, a technological innovation designed to foster concept-based active learning, into Mechanical Engineering (ME) and to study student learning with this tool in five diverse institutional settings. The Concept Warehouse (CW) is a web-based instructional tool that we developed for Chemical Engineering (ChE) faculty. It houses over 3,500 ConcepTests, which are short questions that can rapidly be deployed to engage students in concept-oriented thinking and/or to assess students’ conceptual knowledge, along with more extensive concept-based active learning tools. The CW has grown rapidly during this project and now has over 1,600 faculty accounts and over 37,000 student users. New ConcepTests were created during the current reporting period; the current numbers of questions for Statics, Dynamics, and Mechanics of Materials are 342, 410, and 41, respectively. A detailed review process is in progress, and will continue through the no-cost extension year, to refine question clarity and to identify types of new questions to fill gaps in content coverage. There have been 497 new faculty accounts created after June 30, 2018, and 3,035 unique students have answered these mechanics questions in the CW. We continue to analyze instructor interviews, focusing on 11 cases, all of whom participated in the CW Community of Practice (CoP). For six participants, we were able to compare use of the CW both before and after participating in professional development activities (workshops and/or a community or practice). Interview results have been coded and are currently being analyzed. To examine student learning, we recruited faculty to participate in deploying four common questions in both statics and dynamics. In statics, each instructor agreed to deploy the same four questions (one each for Rigid Body Equilibrium, Trusses, Frames, and Friction) among their overall deployments of the CW. In addition to answering the question, students were also asked to provide a written explanation to explain their reasoning, to rate the confidence of their answers, and to rate the degree to which the questions were clear and promoted deep thinking. The analysis to date has resulted in a Work-In-Progress paper presented at ASEE 2022, reporting a cross-case comparison of two instructors and a Work-In-Progress paper to be presented at ASEE 2023 analyzing students’ metacognitive reflections of concept questions. 

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5. Intelligence Augmentation for Collaborative Learning

   Roschelle, Jeremy ( January 2021 , HCI International)

   null (Ed.)

   Today’s classrooms are remarkably different from those of yesteryear. In place of individual students responding to the teacher from neat rows of desks, one more typically finds students working in groups on projects, with a teacher circulating among groups. AI applications in learning have been slow to catch up, with most available technologies focusing on personalizing or adapting instruction to learners as isolated individuals. Meanwhile, an established science of Computer Supported Collaborative Learning has come to prominence, with clear implications for how collaborative learning could best be supported. In this contribution, I will consider how intelligence augmentation could evolve to support collaborative learning as well as three signature challenges of this work that could drive AI forward. In conceptualizing collaborative learning, Kirschner and Erkens (2013) provide a useful 3x3 framework in which there are three aspects of learning (cognitive, social and motivational), three levels (community, group/team, and individual) and three kinds of pedagogical supports (discourse-oriented, representation-oriented, and process-oriented). As they engage in this multiply complex space, teachers and learners are both learning to collaborate and collaborating to learn. Further, questions of equity arise as we consider who is able to participate and in which ways. Overall, this analysis helps us see the complexity of today’s classrooms and within this complexity, the opportunities for augmentation or “assistance to become important and even essential. An overarching design concept has emerged in the past 5 years in response to this complexity, the idea of intelligent augmentation for “orchestrating” classrooms (Dillenbourg, et al, 2013). As a metaphor, orchestration can suggest the need for a coordinated performance among many agents who are each playing different roles or voicing different ideas. Practically speaking, orchestration suggests that “intelligence augmentation” could help many smaller things go well, and in doing so, could enable the overall intention of the learning experience to succeed. Those smaller things could include helping the teacher stay aware of students or groups who need attention, supporting formation of groups or transitions from one activity to the next, facilitating productive social interactions in groups, suggesting learning resources that would support teamwork, and more. A recent panel of AI experts identified orchestration as an overarching concept that is an important focus for near-term research and development for intelligence augmentation (Roschelle, Lester & Fusco, 2020). Tackling this challenging area of collaborative learning could also be beneficial for advancing AI technologies overall. Building AI agents that better understand the social context of human activities has broad importance, as does designing AI agents that can appropriately interact within teamwork. Collaborative learning has trajectory over time, and designing AI systems that support teams not just with a short term recommendation or suggestion but in long-term developmental processes is important. Further, classrooms that are engaged in collaborative learning could become very interesting hybrid environments, with multiple human and AI agents present at once and addressing dual outcome goals of learning to collaborate and collaborating to learn; addressing a hybrid environment like this could lead to developing AI systems that more robustly help many types of realistic human activity. In conclusion, the opportunity to make a societal impact by attending to collaborative learning, the availability of growing science of computer-supported collaborative learning and the need to push new boundaries in AI together suggest collaborative learning as a challenge worth tackling in coming years. 

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