2022
DOI: 10.3991/ijet.v17i05.29851
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Generation and Optimization of Teaching Decision Generation Under a Smart Teaching Environment

Abstract: Teaching decisions need to be optimized to guide learners to stick to the right learning method, and maintain learning interests. However, the existing evaluation systems for college teachers’ teaching decision ability cannot adapt to online teaching decision-making. What is worse, the previous studies on college teachers’ teaching decisions rarely consider online teaching decision-making. Therefore, this paper attempts to optimize college teachers’ teaching decision under the smart teaching environment. Speci… Show more

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Cited by 2 publications
(2 citation statements)
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“…Instead of traditional technology infrastructure, virtualization should be used for better results in educational services [21]. Technology driven assessment can optimise the decisions of college teachers in a smart learning environment [22]. Blended learning combined with self-assessment has the potential to enhance autonomy of learners and critical thinking skills [23].…”
Section: Related Workmentioning
confidence: 99%
“…Instead of traditional technology infrastructure, virtualization should be used for better results in educational services [21]. Technology driven assessment can optimise the decisions of college teachers in a smart learning environment [22]. Blended learning combined with self-assessment has the potential to enhance autonomy of learners and critical thinking skills [23].…”
Section: Related Workmentioning
confidence: 99%
“…Teaching decisions of teachers refer to a series of dynamic processes of determining the most effective teaching plans, in which teachers play their subjective ability [1][2][3][4], through prediction, analysis and reflection on teaching practice and in accordance with their own beliefs, knowledge and constantly formed practical wisdom, thus achieving teaching objectives and completing teaching tasks [5][6][7][8][9][10].…”
Section: Introductionmentioning
confidence: 99%