Browsing by Subject "attention"
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Item The Decorated Learning Environment: Simply Noise or an Opportunity for Incidental Learning?(California Digital Library, 2021) Godwin, Karrie E.; Kaur, FreyaMaintaining attention during instruction is challenging as children face various sources of distraction (peers, announcements, noise) as well as competition from the visual environment itself. Prior studies found decorated environments promote off-task behavior and reduce learning. Additionally, many classroom displays are not relevant to ongoing instruction. This raises the possibility that increasing alignment between displays and instructional content may afford opportunities for incidental learning, reducing the detrimental effects of environmental off-task behavior. To investigate this possibility, participants completed a lesson in which alignment between the lesson content and displays was manipulated (relevant, educational but irrelevant, or no displays). Attention to the lesson and learning gains for content presented in the lesson and/or displays were measured. Results suggest younger children’s learning can benefit from displays that reinforce the lesson content. However, there was no evidence of incidental learning from displays without additional lesson support. Implications for classroom design are discussed.Item Large Scale Taxonomy Classification using BiLSTM with Self-Attention(ACM, 2018-07) Gao, Hang; Oates, Tim; UMBC Faculty Collection; UMBC Student CollectionIn this paper we present a deep learning model for the task of large scale taxonomy classification, where the model is expected to predict the corresponding category ID path given a product title. The proposed approach relies on a Bidirectional Long Short Term Memory Network (BiLSTM) to capture the context information for each word, followed by a multi-head attention model to aggregate useful information from these words as the final representation of the product title. Our model adopts an end-to-end architecture that does not rely on any hand-craft features, and is regulated by various techniques.Item Quality of and Attention to Instructions in Telementoring(ACM, 2020-10-15) Semsar, Azin; McGowan, Hannah; Feng, Yuanyuan; Zahiri, H. Reza; Park, Adrian; Kleinsmith, Andrea; Mentis, HelenaThere is a long-standing interest in CSCW on distributed instruction - both in how it differs from collocated instruction as well as the design of tools to reduce any deficiencies. In this study, we leveraged the unique environment of laparoscopic surgery to compare the efficacy and mechanism of instruction in a collocated and distributed condition. By implementing the same instructional technology in both conditions, we are able to evaluate the effect of distance on instruction without the confounding variable of medium of instruction. Surprisingly, our findings revealed trainees perceived a higher perceived quality of instruction in the distributed condition. Further investigation suggests that in a distributed learning environment, trainees change their behavior to attend more to the provided instructions resulting in this higher perceived quality of instruction. Finally, we discuss our findings with regards to media compensation theory, and we provide both social and technical insights on how to better support a distributed instructional process.