Research Article

[Retracted] Data Analysis and Processing Application of Deep Learning in Engineering Cost Teaching Evaluation

Table 1

Comparison between deep learning and shallow learning.

Comparison itemsDeep learningShallow learning

Learning motivationLearners’ internal knowledge needsIt mainly comes from the external pressure of non-self-demand
Learning objectivesFocus on learners’ ability to understand, transfer, apply, and solve problems, mainly the development of high-order thinking abilityFocus on the acquisition of learners’ basic knowledge and skills, mainly the development of low-level thinking ability
Learning styleMeaning construction, memory, and learning based on understandingDo not use mechanical learning with simple knowledge
Learning environmentLearning resources are very rich and diverseLearning resources are relatively single
Learning effectivenessHigh effect, but low efficiencyHigh efficiency, but the effect is poor
Knowledge systemNew and old knowledge practice, meaningful learning as the goal, deep processing knowledge, etc.A simple concept that is simple, and easy to understand
FocusPay attention to the internal relationship between core knowledge and seek a breakthrough point to solve problemsBasic knowledge of focusing on simple problems
Migration abilityFlexible use of knowledgeMechanical learning cannot effectively transfer to the solution of practical problems
Evaluation methodProcess evaluation and qualitative evaluationSummative evaluation and quantitative evaluation
Learning attitudePositive emotional stateNegative emotional state