Deep Learning-Assisted Performance Evaluation System for Teaching SCM in the Higher Education System: Performance Evaluation of Teaching Management

Deep Learning-Assisted Performance Evaluation System for Teaching SCM in the Higher Education System: Performance Evaluation of Teaching Management

Lianghuan Zhong, Chao Qi, Yuhao Gao
Copyright: © 2022 |Pages: 22
DOI: 10.4018/IRMJ.304454
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Abstract

Teacher-training schools, community colleges, and technological institutes are examples of higher education. Teachers utilize various skills and techniques collectively referred to as Teaching Management to keep their students engaged, on task, and academically productive throughout the class. Higher education's greatest difficulty is resisting hard values and assumptions. Hence this paper Machine learning assisted teaching performance evaluation model for supply chain management (ML-TPEM) to help teachers grow personally and professionally, improve teaching and learning, and help schools improve and raise levels of achievement. Faculty employ a machine learning model to identify efficient classroom delivery strategies depending on the students' learning styles. A custom dataset is used to train the model on different styles. As a result, any educational system's effectiveness depends on an effective mechanism for managing deep learning to teach. The system's performance ratio is 90.3 %, its interactivity ratio is 95.1 %, its accessibility ratio is 96 %, its security ratio is 96.9 %.
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Introduction To Teaching Performance Evaluation In Higher Education

Higher education is any variety of educational programs offered by post-secondary educational establishments that provide a degree, diploma, or certificate in higher education following completion of a program(Gao et al. 2020). In addition to universities, community colleges and technical schools provide postsecondary education. Higher education institutions ensure the relevance of their knowledge, identify skills gaps, develop special programs and build the right skills that can help countries improve equality of opportunity unity, adapt workforce development to the economy and change demand for new skills and development relevantly. (Shakeel et al. 2020). It's not a given that an academic credential automatically translates into a well-paying job (Do et al. 2020). Most firms place a larger value on experience than education or training when hiring new employees. Educational programs are designed to help students grow properly. There are apparent benefits to a greater and longer life that can be found in this. Society as a whole can benefit from increased access to quality education. (Abd el-Latif et al. 2020). Creating a society where people understand their responsibilities and rights is an important part of the process.

Teacher effectiveness as measured by student accomplishment test results, observable educational methods, or surveys conducted by employers or students, and Mixed Methods in Evaluating Programs for Teacher Preparation(Chen et al. 2021). Pre-service teachers' practical abilities and knowledge are assessed using a teaching performance assessment (TPA). The last year of a pre-service teacher's initial teacher education program is dedicated to collecting proof of practice to complete a TPA(Manickam et al. 2019; Chi et al. 2021). Teaching standards; multiple measures of teacher performance; training on standards, tools, and measures; trained individuals to evaluate and provide feedback; professional learning opportunities; and an aligned teacher evaluation and professional learning system are the factors considered for measurement of the teaching evaluation system(Billah et al. 2021). Teachers are crucial in ensuring that students acquire the skills they need for future success. Student learning is directly influenced by teacher performance, and the learner's attitude should be judged in light of student development. Teacher assessment is essential for a successful educational system, and studies show that "excellent teachers generate significant economic value" (Thapliyal et al. 2021). Having a strong, fair, research-based, and well-implemented teacher evaluation system may help to enhance the quality of the teaching force and student outcomes. (Nguyen et al. 2020).

Effective teacher assessment is essential for raising the quality of teaching. We may learn from and imitate outstanding instructors' performance by recognizing and rewarding them(Fan et al. 2021). As a bonus, it aids in identifying individuals who need assistance so that further training may be provided so that they can be more successful. Good teachers have many characteristics, even though many successful teaching methods exist(Zughoul et al. 2021). Prepared, clear and fair expectations, positive attitude, tolerance with learners and frequent assessment of their teaching are all characteristics of good teachers. Value-added models and group discussions, two of the most frequently used indicators of teacher effectiveness, are explored in detail. After that, additional approaches—principal assessments, teaching object analyses, holdings, self-reports of performance, and student assessments—are considered (Kumar et al. 2021; Muthu et al. 2020).

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