Many instrumental analysis students develop limited skills as the course rushes through different instruments to ensure familiarity with as many methodologies as possible. This broad coverage comes at the expense of superficiality of learning and a lack of student confidence and engagement. To mitigate these issues, a peer-led team learning model was developed to give each student in-depth experiences operating and troubleshooting six common instruments. Electronic cigarette solutions were chosen for all work because of their current relevance. Small groups became "class experts" on their assigned instrument. Students were responsible for teaching their peers how to utilize their instrument for experimentation. Each student rotated through their peer's instruments, learned to apply the knowledge they gained from one instrument to others, while they answered questions from peers. The students developed troubleshooting and communication skillsfoundational tools for chemists. This model proved successful in promoting cognitive flexibility and critical thinking about experimental design, as reflected by oral quizzes and peer teaching. This adaptation of peer-led team learning helped engage students, promote confidence, and a facilitate a deeper understanding of instrumentation.
ABSTRACTassessing the impact of management practices on multiple agroecosystem functions. Approaches to assess the effects of management practices on agro-Performance-based indices employ multiobjective ecosystem functions are needed. This paper describes a computer proanalysis principles to quantitatively assess agroecosysgram designed to assess the relative sustainability of management practem performance (Yakowitz et al., 1992; Edwards and tices using agronomic and environmental data. The program, entitled Newman, 1982;Stillwell et al., 1981). These indices use all score that reflects a relative ranking of agroecosystem performance among management practices evaluated in the procedure.
Approaches to assess the effects of management practices on agroecosystem functions are needed. This paper describes a computer program designed to assess the relative sustainability of management practices using agronomic and environmental data. The program, entitled AgroEcosystem Performance Assessment Tool (AEPAT), utilizes performance‐based index methodology to derive a relative ranking of agroecosystem performance among management practices for functions and indicators included in the procedure. The program is organized into eight major steps: Introduction, Input Files, Assign Indicators to Functions, Describe Indicators, Assign Weights, Select Output File, Calculate Agroecosystem Performance Scores, and Save Agroecosystem Project. Help windows as well as a tutorial are provided within the program to assist users through each step. Users must keep in mind the assumptions and drawbacks inherent to performance‐based indices while using AEPAT. Additionally, the program requires data on many indicators to provide useful information on agroecosystem performance. Therefore, its use is intended primarily for clientele conducting long‐term agroecosystem experiments.
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