Board 110: Work in Progress: Elementary Students’ Disciplinary Talk in a Classroom with an Explicit Engineering Decision-making Scaffold

Batrouny, Nicole; Miel, Karen; Wendell, Kristen B.

doi:10.18260/1-2--32188

Cited by 1 publication

(1 citation statement)

References 8 publications

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“…With the development of educational technology and changes in social needs, the quality of student training has become increasingly prominent [1][2][3][4][5]. Classroom teaching is the basic form of teaching in colleges and universities.…”

Section: Introductionmentioning

confidence: 99%

Classroom Teaching Decision-Making Optimization for Students’ Personalized Learning Needs

Li¹

2023

Int. J. Emerg. Technol. Learn.

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Classroom teaching is the basic form of teaching in colleges and universities. Teachers need to constantly optimize classroom teaching decision-making to adapt to the ever-changing educational environment. In order to improve the quality of teaching, stimulate students' potential, and promote students' all-round development, it is necessary to fully consider the personalized needs of students in classroom teaching and provide more suitable teaching content and methods for them. To this end, this article takes the accounting major in higher vocational colleges as an example, and conducts a study on the optimization of classroom teaching decision-making for students' personalized learning needs. It introduces the psychological curve function based on expected performance and current performance to measure the satisfaction degree of students' personalized learning needs, and as an evaluation of whether students' personalized learning needs meet expectations, elaborates on the calculation method of expected performance and current performance of personalized learning. A multi-objective decision-making model for classroom teaching is constructed to achieve the three optimization objectives of maximizing the quality of classroom teaching, maximizing the attention of students' personalized learning needs, and maximizing students' dissatisfaction, and the solution method of the model is given. Experimental results verify the effectiveness of the proposed algorithm and the constructed model.

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Section: Introductionmentioning

confidence: 99%

Classroom Teaching Decision-Making Optimization for Students’ Personalized Learning Needs

Li¹

2023

Int. J. Emerg. Technol. Learn.

View full text Add to dashboard Cite

show abstract

Board 110: Work in Progress: Elementary Students’ Disciplinary Talk in a Classroom with an Explicit Engineering Decision-making Scaffold

Cited by 1 publication

References 8 publications

Classroom Teaching Decision-Making Optimization for Students’ Personalized Learning Needs

Classroom Teaching Decision-Making Optimization for Students’ Personalized Learning Needs

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