Using Digital Badges to Design a Comprehensive Model for High-Impact Experiential Learning

This chapter details the design, implementation, and promise of the Project Portal, a co-curricular badge system, as an exciting example of how digital badges can transcend traditional notions of credentialing. The authors begin by detailing their design approach, which frames goals within hypotheses and research questions, allowing for optimizing implementation based on student outcomes and ongoing data collection. The authors then share a comprehensive model through five primary functional lenses: (1) generating diverse applied learning opportunities, (2) incentivizing, (3) facilitating and (4) assessing student engagement, and (5) leveraging related impacts. Although still in its infancy, the model suggests that these functionalities are individually important and collectively sufficient to activate the promise of high-impact experiential learning as a driver for student and community impact along with key institutional priorities.

Are You a Werewolf? Teaching Symbolic Interaction Theory through Game Play

In this article, we report on the implementation of using the game Werewolf as a student-centered applied-learning activity to teach symbolic interaction theory and concepts. Engaging with symbolic interaction theory can be a powerful experience for students due to its potential to challenge taken-for-granted assumptions and analyze students’ everyday life experiences. However, some students may have difficulty grasping the specific details and overall significance underlying the perspective. Moreover, research has shown that undergraduate students often have significant levels of anxiety when confronted with sociological theory in both introductory and upper division theory courses. We aim to address recommendations to incorporate more active learning approaches to social theory by outlining an applied-learning activity based on the role-playing game Werewolf. In the article, we review Werewolf and provide a step-by-step guide on how to implement the activity in the classroom and summarize findings from student assessments and classroom evaluations.

UPAYA MENINGKATKAN HASIL BELAJAR SISWA DENGAN METODE STEM PADA PEMBELAJARAN REAKSI REDOKS DI KELAS XII.MIPA1 SMAN 1 CIGUGUR

The purpose of this study was to improve student learning outcomes in the subject matter of Redox Reaction by using the STEM method in class XII.MIPA1 of SMAN 1 Cigugur, Kuningan Regency. The STEM method is an applied learning method that combines knowledge and skills so that students easily understand learning well and obtain the expected learning outcomes. This research uses Classroom Action Research (CAR) with Kurt Lewin's model in 2 cycles. This research was conducted in class XII.MIPA1 SMAN 1 Cigugur which has 30 students. Data collection techniques used are observation, questionnaires, and tests. Furthermore, the data from the observations and questionnaires were processed using a qualitative approach, while the test data were processed using a quantitative approach. The results showed that the activities of students and teachers were included in the very good category. Student response to learning is very positive. Then student learning outcomes increased from an average value of 65 to 87 with the number of students who met the KKM more than 90%.

Reframing educator preparation to collaboratively prepare teachers and administrators: challenges and advantages

Purpose This study examines reframing an organization that permitted three typically siloed university programs to collaborate around a shared experience focused on teaching, leadership, evaluation, and applied learning. Design Participants were seven faculty members who designed and implemented the shared experience. Data sources included participants’ responses to a feedback survey, meeting notes, and project documents. The data were coded and grouped based on themes. Findings Themes revealed challenges and advantages faculty experienced during the project. Challenges included creating shared expectations, technology, and continuity with student evaluators. Advantages included reflecting on teaching practices, frameworks, instructional strategies, and professional goals. Originality Despite the difficulty and rarity of cross-program collaborations, this study demonstrates how such efforts may incorporate best practices in preparing educators.

Machine Learning MOSA Monitoring System

This research paper deals with the problem of Metal-Oxide Surge Arrester (MOSA) condition monitoring and a new methodology in surge arrester monitoring and diagnostics is presented. A machine learning algorithm (back propagation regression) is used to estimate the non-linearity coefficient of the surge arrester, based on operating voltage and leakage current of the arrester. Using a simulated system, this research investigates the possibility of application and efficiency of machine learning. It is shown that the applied learning algorithm results are competitive with the model results parameters calculated as R2 = 0.999 and mean absolute real error computed as 0.005 which has shown that the proposed model can be used for MOSA monitoring and diagnostic purposes.