2022
DOI: 10.3991/ijet.v17i23.35937
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A Dynamic Learning Interest Model for a Personalized Learning Requirement Analysis of College Students

Abstract: The randomness in college students’ participation of online learning causes common problems such as improper learning resource allocation or unbalanced supply and demand to online education platforms, thus scientifically predicting college students’ learning requirements, triggering their dynamic learning interest, and effectively improving their learning effect are important prerequisites for ensuring these platforms to develop stably, efficiently, and sustainably. Existing prediction models generally ignored… Show more

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Cited by 2 publications
(1 citation statement)
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“…Teachers need to constantly optimize classroom teaching decision-making to adapt to the ever-changing educational environment [6][7][8][9]. Paying attention to and meeting students' personalized learning needs is the basic way to understand classroom teaching effects and is also an important source of driving teachers to improve teaching decisions [10][11][12][13][14][15].…”
Section: Introductionmentioning
confidence: 99%
“…Teachers need to constantly optimize classroom teaching decision-making to adapt to the ever-changing educational environment [6][7][8][9]. Paying attention to and meeting students' personalized learning needs is the basic way to understand classroom teaching effects and is also an important source of driving teachers to improve teaching decisions [10][11][12][13][14][15].…”
Section: Introductionmentioning
confidence: 99%