| Instructional evaluation is an important part of teaching,also the important measure for guarantee the high-quality of education.In the current,the university students’ achievement assessment system is forcing students to remember facts in order to excel in tests.Most of the students adopt surface learning.As a result,many students,even those with high scores,often do poorly when it comes to the practical application of what they’ve learned.Shift to deeper learning approaches have gained the recognition.Teaching evaluation is one of the influences on learning method.The processing evaluation compares one praised highly at present to the new curriculum reform.while its teaching application is difficult.Such as the eportfolio add teachers and students Workload and pressure.For that,the author increases processing evaluation efficiency with the help of information technology.Through the experiment,we study the three aspects.The first,the inner relationship between deep learning and on-line micro-testing.The second,deep learning and shallow learning to students’ Teaching objectives to achieve the level of impact.The third different forms of online micro-testing for students to deep learning different stimulating effect.The paper is divided into three parts,the background and research status of the problem,test hypotheses,build on-line micro-testing mode based on the experimental results.In the first part of the thesis,the first chapter describes the process evaluation of college students’ academic evaluation which is mainly based on the summative evaluation,and does not play its due role and value through a great deal of literature reading and analysis.Resulting in students’ grinding,through rote pass the examination,leading to the phenomenon of high goals and low energy seriousness.As a way of process evaluation,micro-testing is convenient for online micro-testing based on online test system and mobile intelligent terminal.It can evaluate students ’learning process more objectively and comprehensively,and can improve students’ classroom engagement without increasing teacher workload.It is feasible and meaningful to use the online micro-testing to realize the change of students’ learning styles,and summarizes the domestic and foreign research on the impact of process evaluation on students’ deep learning.The second chapter is to sort out the theoretical basis of the thesis.Deep learning refers to students’ active learning,which aims at cultivating critical thinking ability and high-order thinking ability on the basis of understanding the learning content.Combined with the small steps of teaching small steps of fast feedback and other principles to explain what is online micro-testing and different distinguish forms of online micro-test.The second part of the dissertation tries to test hypotheses.In chapter 3,cooperate with the teachers of Virtual Instruments Technology course,and 87 students in this course are studied in the experimental research.On the basis of two kinds of common micro-testing:in-class quizzes and after-class test,the compared experimentally to explore the intrinsic relationship between the online micro-testing and deep learning,and the difference on academic achievement when the students on the deep learning or shallow learning.By analyzing the questionnaire and the experimental data,it is concluded that the online micro-testing compared with the traditional test and evaluation mode could stimulate the students to move to deeper learning.The students use deep learning method could get higher academic achievement and achieve higher teaching goal level.While different forms of micro-testing is basically the same on students shifting to deep learning approaches.The third part of the paper combines the teaching theory of small steps.When the micro-testing at least once a week and feedback in time,it could eliminate the rote to pass the examination.In the end,construct on-line micro-testing model for teaching.The fourth chapter points out the steps of on-line micro-testing.First,classify the each objectives of knowledge.Then design test questions for different knowledge contents and teaching objectives.Finally feedback test results in time for the student further study.In addition to guiding the implementation of online micro-testing in the course of teaching practice to improve learning outcomes.The study results can be used to create an adaptive online evaluation system. |