“…On the other hand, while high-level texts provide students with a versatile and analytical perspective, they also provide their high-level thinking skills such as critical, creative, reflective, lateral thinking, and problem-solving skills. Including high-level texts in the textbooks that will enable students to develop their thinking skills at a sufficient level will enable them to acquire 21st century skills, while contributing to their success in international exams such as PISA (Dolapcioglu, 2020;Ozdemir, 2020;Carkit, 2020).…”
The Education Quarterly Reviews is an Open Access publication. It may be read, copied, and distributed free of charge according to the conditions of the Creative Commons Attribution 4.0 International license.The Asian Institute of Research Education Quarterly Reviews is a peer-reviewed International Journal. The journal covers scholarly articles in the fields of education, linguistics, literature, educational theory, research, and methodologies, curriculum, elementary and secondary education, higher education, foreign language education, teaching and learning, teacher education, education of special groups, and other fields of study related to education. As the journal is Open Access, it ensures high visibility and the increase of citations for all research articles published. The Education Quarterly Reviews aims to facilitate scholarly work on recent theoretical and practical aspects of education.
“…On the other hand, while high-level texts provide students with a versatile and analytical perspective, they also provide their high-level thinking skills such as critical, creative, reflective, lateral thinking, and problem-solving skills. Including high-level texts in the textbooks that will enable students to develop their thinking skills at a sufficient level will enable them to acquire 21st century skills, while contributing to their success in international exams such as PISA (Dolapcioglu, 2020;Ozdemir, 2020;Carkit, 2020).…”
The Education Quarterly Reviews is an Open Access publication. It may be read, copied, and distributed free of charge according to the conditions of the Creative Commons Attribution 4.0 International license.The Asian Institute of Research Education Quarterly Reviews is a peer-reviewed International Journal. The journal covers scholarly articles in the fields of education, linguistics, literature, educational theory, research, and methodologies, curriculum, elementary and secondary education, higher education, foreign language education, teaching and learning, teacher education, education of special groups, and other fields of study related to education. As the journal is Open Access, it ensures high visibility and the increase of citations for all research articles published. The Education Quarterly Reviews aims to facilitate scholarly work on recent theoretical and practical aspects of education.
“…Reflective thinking has attracted considerable recent studies in education (Ayan & Seferoğlu, 2011;Çarkıt, 2020;Ramlal & Augustin, 2020;Yilmaz & Keser, 2016). Ramlal and Augustin (2020) reported on the experiences of 37 participants at an allmale secondary school in Trinidad and Tobago.…”
It has been reported that some teachers mainly lectured while teaching online and students only listened and took notes. As a result, students did not develop highorder thinking skills. The study examined the effects of reflective writing, one of the deep learning approaches on students' learning outcomes. Participants were 103 undergraduate students studying phonetics and phonology at a private university in Vietnam. Students had to submit 481 reflective writings over a tenweek period and did the mid-term and final tests. Five students participated in semi-structured interviews. Findings showed that there was a positive correlation between the number of assignments and their mid-term and final scores. The group that completed more assignments had higher scores. The study also revealed the impact of reflective writings on students' retainment of the lesson content and utilization of higher-order thinking skills. The findings suggest some pedagogical implications for teachers to sustain students' deep learning.
“…The application of DT, [ 35,36 ] a widely used data mining technique, is pervasive in the construction of classification systems reliant on multiple covariates, as well as in the development of prediction algorithms targeting specific variables. This methodology has found extensive adoption across diverse domains, offering substantial benefits in facilitating streamlined analysis and expediting decision‐making processes.…”
Accurately battery state of health (SOH) estimation in electric vehicles (EVs) is crucial for optimal performance and safety. This article presents an in‐depth investigation into the utilization of an optimized decision tree (DT) model for precise SOH estimation. Two aging features (AFs) are extracted through incremental capacity analysis from the partial charging process, and their efficacy is thoroughly validated on both battery cells and packs. To capture the relationship between AFs and capacity degradation, a robust DT model is established. Furthermore, Bayesian optimization is employed to optimize the model hyperparameters, enhancing the learning and generalization capabilities of the DT model. To validate the optimized DT model, a battery management system (BMS) is developed using a hybrid programming approach with LabVIEW and MATLAB, enabling online SOH estimation. The BMS undergoes rigorous evaluation using publicly available aging datasets of battery cells, as well as private datasets of battery packs. The results demonstrate that the optimized DT model outperforms traditional DT models, back propagation neural networks, and support vector machine approaches in accurately estimating battery SOH across diverse datasets. This research contributes to the advancement of BMS and holds profound implications for the efficient utilization of batteries in EVs.
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