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Creators/Authors contains: "Amoruso, Paul"

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  1. ; ; (, 2025 Florida Online Innovation Summit (FOIS))
    The Academic Vigilance Environment (AVE) presented is a combination of two innovative tools. AchieveUp's micro-credentialing system identifies and showcase students' skills, while KnowGap's provides personalized learning content that fills knowledge gaps. To meet the growing demand for micro-credentials, AchieveUp integrates this capability into established courses using online quizzes to evaluate skills from a predefined test bank. By leveraging responses from digitized quiz-based assessments, we have developed a synergistic approach with online assessment and remediation protocols. Our Python-based toolkit enables undergraduate tutors to identify and address knowledge gaps among at-risk learners in higher-education courses. Through digitized assessments, personalized tutoring, and automated skill analysis scripts integrated into Canvas LMS, students receive skill-specific badges that provide incremental motivation and enhance their self-efficacy. In a required electrical and computer engineering course here at UCF, the implemented software allowed for the distribution of 17 unique digital badges suitable for LinkedIn posting, benefiting both students and employers by verifying skills, while also providing instructors with insights to improve course instruction. 
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    Free, publicly-accessible full text available April 11, 2026
  2. ; ; ; (, Proceedings of 2024 ASEE South East Section Annual Meeting)
    An instructor-facing Graphical User Interface (GUI) for micro-credential formation and tracking within STEM curricula is designed, prototyped, and evaluated. It enables instructors to readily associate skills with response-level elements within digitized assessments of Canvas LMS for issuance of micro-credential badges, without the need for computer programming expertise. An instructor survey of preference and acceptance levels of skill tracking was conducted. Survey results were used to design an input flow and interface to tag skills. The Tkinter Python-based computer coding library was utilized to create rapid check buttons and the Matplotlib backend was deployed to generate pie chart views of instantaneous course performance against tagged skills. A case study demonstrates the process for highest and lowest achieved skills via an auto-appending CSV file, allowing the instructor to identify and react to semester-long performance of learners by tracking badge issuance rates up to 17.3% within a required Computer Engineering undergraduate course. 
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