According to the standards of engineering education accreditation,the achievement paths and evaluation criteria of course goals are presented,aimed at the objectives of software engineering courses and the characteris...According to the standards of engineering education accreditation,the achievement paths and evaluation criteria of course goals are presented,aimed at the objectives of software engineering courses and the characteristics of hybrid teaching in Kunming University of Science and Technology.Then a multi-dimensional evaluation system for course goal achievement of software engineering is proposed.The practice’s results show that the multi-dimensional course goal achievement evaluation is helpful to the continuous improvement of course teaching,which can effectively support the evaluation of graduation outcomes.展开更多
Sentiment analysis attracts the attention of Egyptian Decisionmakers in the education sector.It offers a viable method to assess education quality services based on the students’feedback as well as that provides an u...Sentiment analysis attracts the attention of Egyptian Decisionmakers in the education sector.It offers a viable method to assess education quality services based on the students’feedback as well as that provides an understanding of their needs.As machine learning techniques offer automated strategies to process big data derived from social media and other digital channels,this research uses a dataset for tweets’sentiments to assess a few machine learning techniques.After dataset preprocessing to remove symbols,necessary stemming and lemmatization is performed for features extraction.This is followed by several machine learning techniques and a proposed Long Short-Term Memory(LSTM)classifier optimized by the Salp Swarm Algorithm(SSA)and measured the corresponding performance.Then,the validity and accuracy of commonly used classifiers,such as Support Vector Machine,Logistic Regression Classifier,and Naive Bayes classifier,were reviewed.Moreover,LSTM based on the SSA classification model was compared with Support Vector Machine(SVM),Logistic Regression(LR),and Naive Bayes(NB).Finally,as LSTM based SSA achieved the highest accuracy,it was applied to predict the sentiments of students’feedback and evaluate their association with the course outcome evaluations for education quality purposes.展开更多
The present paper deals with development of a course evaluation survey (CES) questionnaire regarding evaluation of humanities courses (e.g., Commerce/Economics/Law) and assessment of its validity and reliability. Taki...The present paper deals with development of a course evaluation survey (CES) questionnaire regarding evaluation of humanities courses (e.g., Commerce/Economics/Law) and assessment of its validity and reliability. Taking help from available questionnaires and also incorporating views from the teachers of the related subjects, the relevant Likert type items were selected. The drafted version of the questionnaire was finalized taking into account feedback from the subject experts. The focus was on simple language to ensure clarity to the students to facilitate accuracy of the collected data. The developed questionnaire consists of five domains involving fifteen Likert type items including a global item. For assessment of its reliability and validity, data were collected among two groups of undergraduate students studying two courses namely Accounts (n = 190) and Law (n = 90). For assessing questionnaire, Karl Pearson Correlation Coefficient, Cronbach’s Alpha coefficient and four factor solutions under factor analysis were used. The analytical results were quite consistent across the data sets (that are, accounts, law and pooled together) that exhibit good psychometric properties. It may thus be concluded that the questionnaire is valid, reliable and may measure what it is intended to measure.展开更多
This paper aims to devising an evaluation plan for an Integrated English Course within the RUFDATA framework in an attempt to illuminate the working mechanism of the Framework.
Innovative practice courses are the basis for the implementation of innovation credit and play an important role in cultivating college students'innovative ability.Innovative practice courses should be based on gu...Innovative practice courses are the basis for the implementation of innovation credit and play an important role in cultivating college students'innovative ability.Innovative practice courses should be based on guiding innovation.The construction of courses needs to be carried out comprehensively in the aspects of course content,class organization,and course evaluation methods.Based on the construction of innovative practice courses"Mobile Development Technology Practice",the attempt in the construction of innovative practice courses is introduced.There are still some problems in the development of innovative practice courses in the course selection,evaluation,time setting,and the improvement of innovation,which is needed to be resolved in many ways.In response to the problems,some thoughts and suggestions is given in the paper.展开更多
基金supported by the Undergraduate Education and Teaching Reform Research Project of Yunnan Province(JG2023157)Support Program for Yunnan Talents(CA23138L010A)+2 种基金Yunnan Higher Education Undergraduate Teaching Achievement Project(202246)National First class Undergraduate Course Construction Project of Software Engineering(109620210004)Software Engineering Virtual Teaching and Research Office Construction Project of Kunming University of Science and Technology(109620220031)。
文摘According to the standards of engineering education accreditation,the achievement paths and evaluation criteria of course goals are presented,aimed at the objectives of software engineering courses and the characteristics of hybrid teaching in Kunming University of Science and Technology.Then a multi-dimensional evaluation system for course goal achievement of software engineering is proposed.The practice’s results show that the multi-dimensional course goal achievement evaluation is helpful to the continuous improvement of course teaching,which can effectively support the evaluation of graduation outcomes.
文摘Sentiment analysis attracts the attention of Egyptian Decisionmakers in the education sector.It offers a viable method to assess education quality services based on the students’feedback as well as that provides an understanding of their needs.As machine learning techniques offer automated strategies to process big data derived from social media and other digital channels,this research uses a dataset for tweets’sentiments to assess a few machine learning techniques.After dataset preprocessing to remove symbols,necessary stemming and lemmatization is performed for features extraction.This is followed by several machine learning techniques and a proposed Long Short-Term Memory(LSTM)classifier optimized by the Salp Swarm Algorithm(SSA)and measured the corresponding performance.Then,the validity and accuracy of commonly used classifiers,such as Support Vector Machine,Logistic Regression Classifier,and Naive Bayes classifier,were reviewed.Moreover,LSTM based on the SSA classification model was compared with Support Vector Machine(SVM),Logistic Regression(LR),and Naive Bayes(NB).Finally,as LSTM based SSA achieved the highest accuracy,it was applied to predict the sentiments of students’feedback and evaluate their association with the course outcome evaluations for education quality purposes.
文摘The present paper deals with development of a course evaluation survey (CES) questionnaire regarding evaluation of humanities courses (e.g., Commerce/Economics/Law) and assessment of its validity and reliability. Taking help from available questionnaires and also incorporating views from the teachers of the related subjects, the relevant Likert type items were selected. The drafted version of the questionnaire was finalized taking into account feedback from the subject experts. The focus was on simple language to ensure clarity to the students to facilitate accuracy of the collected data. The developed questionnaire consists of five domains involving fifteen Likert type items including a global item. For assessment of its reliability and validity, data were collected among two groups of undergraduate students studying two courses namely Accounts (n = 190) and Law (n = 90). For assessing questionnaire, Karl Pearson Correlation Coefficient, Cronbach’s Alpha coefficient and four factor solutions under factor analysis were used. The analytical results were quite consistent across the data sets (that are, accounts, law and pooled together) that exhibit good psychometric properties. It may thus be concluded that the questionnaire is valid, reliable and may measure what it is intended to measure.
文摘This paper aims to devising an evaluation plan for an Integrated English Course within the RUFDATA framework in an attempt to illuminate the working mechanism of the Framework.
文摘Innovative practice courses are the basis for the implementation of innovation credit and play an important role in cultivating college students'innovative ability.Innovative practice courses should be based on guiding innovation.The construction of courses needs to be carried out comprehensively in the aspects of course content,class organization,and course evaluation methods.Based on the construction of innovative practice courses"Mobile Development Technology Practice",the attempt in the construction of innovative practice courses is introduced.There are still some problems in the development of innovative practice courses in the course selection,evaluation,time setting,and the improvement of innovation,which is needed to be resolved in many ways.In response to the problems,some thoughts and suggestions is given in the paper.