Teacher’s Questioning Effects on Students Communication in Classroom Performance

Classroom questioning has been more of a puzzle regarding its role in learning output among school students. Research studies point to its significance in affecting students’ performance and achievement. The purpose of this study is to investigate how students perceive teachers’ questions in the classroom and relate them to their academic participation. The study also inquires question-types that are more or less favorably received and their consequences. The study is conducted in three schools (Grade V to VIII), and a sample of 50 students was purposively selected and interviewed through semi-structured interviews. A qualitative method is used to analyze the data; where the primary data is supported by secondary information and previous scholarly arguments. The discussion reveals that questioning in the classroom is positively associated. The study recommends that training sessions and workshops should be organized for teachers along with induction of practical courses on how to use effective questions in the classroom. Furthermore, developmental questions can be used by developmental managers in the workplace as they encourage their employees to think for themselves when taking care of customers and increasing productivity. Keywords: Teachers, classroom, questioning, high-order question, low-order question, wait time

Driver Training Based Optimized Fractional Order PI-PDF Controller for Frequency Stabilization of Diverse Hybrid Power System

This work provides an enhanced novel cascaded controller-based frequency stabilization of a two-region interconnected power system incorporating electric vehicles. The proposed controller combines a cascade structure comprising a fractional-order proportional integrator and a proportional derivative with a filter term to handle the frequency regulation challenges of a hybrid power system integrated with renewable energy sources. Driver training-based optimization, an advanced stochastic meta-heuristic method based on human learning, is employed to optimize the gains of the proposed cascaded controller. The performance of the proposed novel controller was compared to that of other control methods. In addition, the results of driver training-based optimization are compared to those of other recent meta-heuristic algorithms, such as the imperialist competitive algorithm and jellyfish swarm optimization. The suggested controller and design technique have been evaluated and validated under a variety of loading circumstances and scenarios, as well as their resistance to power system parameter uncertainties. The results indicate the new controller’s steady operation and frequency regulation capability with an optimal controller coefficient and without the prerequisite for a complex layout procedure. © 2023 by the authors.20100859001This work is supported by the “Young Talent Sub-project of Ningbo Yongjiang Talent Introduction Programme under grant no. 20100859001.