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This paper presents four years (2021-2024) of data from a study that aims to understand engineering students' environmental awareness and pro-environmental behavior at different levels in a prominent HBCU. Through extensive surveys developed as part of this project, students' ecological knowledge and higher-level environmental behavior were explored. In this context, the study also investigated their willingness and preparedness to pursue careers in the industries developing sustainable resources. With a focus on imparting these qualities, a pedagogical system with a comprehensive pool of interventions has been designed and implemented in a senior-level mechanical engineering course. The paper summarizes the survey development process and the data that explores the impact of the intervention on students' ecological knowledge, behavior, attitudes, and job decisions. The study indicates that early academic interventions can shape students' environmental attitudes and behavior and help prepare a diverse renewable energy workforce for the future. 

This study meticulously probes the evolution of engineering undergraduates' attitudes and skills related to renewable energy and sustainability over two years at two institutions in the Southeastern United States. Data were intensively collected in two phases – fall 2022 and spring 2024 – amassing over 250 initial and upwards of 200 follow-up responses. This rigorous effort culminated in over 150 complete and matched datasets subjected to detailed examination. A bespoke, five-part survey was employed to capture the complex spectrum of students' attitudes. Our analytical approach incorporated ANOVA; these results indicated minimal group variances across most survey dimensions, hence suggesting a uniformity in perceptions. Paired sample tests brought to light a minor, but statistically significant increase in sustainability-related knowledge. The educational methods employed included hands-on projects, seminars, and group assignments focused on various aspects of renewable energy and sustainability. These incremental yet impactful changes highlight the potential of precise educational strategies to effectively mold student perspectives towards sustainability. By integrating solid statistical techniques and delving into the broader educational implications, this study provides valuable insights into the refinement of a sustainability-centered engineering curricula. 

Abstract Radiation measurement relies on pulse detection, which can be performed using various configurations of high-speed analog-to-digital converters (ADCs) and field-programmable gate arrays (FPGAs). For optimal power consumption, design simplicity, system flexibility, and the availability of DSP slices, we consider the Radio Frequency System-on-Chip (RFSoC) to be a more suitable option than traditional setups. To this end, we have developed custom RFSoC-based electronics and verified its feasibility. The ADCs on RFSoC exhibit a flat frequency response of 1–125 MHz. The root-mean-square (RMS) noise level is 2.1 ADC without any digital signal processing. The digital signal processing improves the RMS noise level to 0.8 ADC (input equivalent 40 μV_rms). Baseline correction via digital signal processing can effectively prevent photomultiplier overshoot after a large pulse. Crosstalk between all channels is less than -55 dB. The measured data transfer speed can support up to 32 kHz trigger rates (corresponding to 750 Mbps). Overall, our RFSoC-based electronics are highly suitable for pulse detection, and after some modifications, they will be employed in the Kamioka Liquid Scintillator Anti-Neutrino Detector (KamLAND).