Analysis Dropout Situation of Business Computer Students at University of Phayao

Nuankaew, Pratya; Nuankaew, Wongpanya; Phanniphong, Kanakarn; Fooprateepsiri, Rerkchai; Bussaman, Sittichai

doi:10.1007/978-3-030-40274-7_42

Cited by 7 publications

(13 citation statements)

References 11 publications

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“…The goal of the evaluation is to evaluate the performance of the results, which aims to construct the significant relationship models [19], [33]. The tools are used in the research, including the cross-validation techniques as shown in Figure 3, and the calculation of confusion matrix as mentioned in Figure 4.…”

Section: Discussionmentioning

confidence: 99%

“…In the second example, they attempted to present the concept of the compatibility of the mentor and the receiver by comparing it to a jigsaw. The last example is research that studies the impact of unsuccessful studies or dropouts, in which these researches are discussed in many dimensions and perceptions of the researchers [19], [33].…”

Section: Student Academic Performancementioning

confidence: 99%

“…There are also researchers who study the tools for applying the concepts for measuring and evaluating student performance [33]- [35]. Tools used in their studies include the use of statistical tools and data mining tools: basic statistical tools, decision tree techniques, k-means and k-medoids algorithms, confusion matrix performance, and cross-validation methods.…”

Section: Student Academic Performancementioning

confidence: 99%

“…Generally, researchers in various fields have studied research and development in the science of educational quality development [5], [14], [36]- [38], in which the objectives of each research group are different in methods and perspectives. Some research groups want to study the factors that support and change learners' behavior and instructional methods [3], [13], [31], [33]. Some research groups want to study and develop tools that support the efficiency of teaching and learning [35], [37], [39].…”

Section: Improving Academic Achievementmentioning

confidence: 99%

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Clustering of Mindset towards Self-Regulated Learning of Undergraduate Students at the University of Phayao

Nuankaew¹

2020

Adv. sci. technol. eng. syst. j.

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The effects of Covid-19 severely affected the Thai higher education model. Therefore, there are three significant objectives in this research: (1) to cluster the mindsets and attitudes toward self-regulated learning styles of undergraduate students at the University of Phayao. (2) to construct a predictive model for recommending an appropriate student learning clusters. (3) to evaluate the predictive model that has been constructed. Samples collected a compilation of 472 student satisfaction with questionnaires from three schools, with seven disciplines at the University of Phayao, Thailand. Research tools consisted of statistical and machine learning techniques as follows: frequency, percentage, average, standard deviation, k-means clustering, decision tree techniques, cross-validation methods, confusion matrix performance, accuracy, precision, and recall measurement. Researcher found that the k-means model with the highest accuracy is the decision tree model that was classified into three clusters by dividing the model testing into the leave-one-out crossvalidation method with a depth of seven levels of the decision tree model and an accuracy of 98.73%. From the results and studies, it can be concluded that the developed model is effective and reasonable to be further developed as an application for further organizational development.

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Section: Discussionmentioning

confidence: 99%

Section: Student Academic Performancementioning

confidence: 99%

Section: Student Academic Performancementioning

confidence: 99%

Section: Improving Academic Achievementmentioning

confidence: 99%

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Clustering of Mindset towards Self-Regulated Learning of Undergraduate Students at the University of Phayao

Nuankaew¹

2020

Adv. sci. technol. eng. syst. j.

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“…The first part is used for modeling and the remainder is applied to test the model. In addition, model evaluation requires a tool called a confusion matrix [27], [28] to test the model's performance, with the principles shown in Figure 6. Figure 5 presents the composition of the confusion matrix performance, which is composed of the actual class and the predicted class.…”

Section: C) Model Performancementioning

confidence: 99%

Mentoring Model in an Active Learning Culture for Undergraduate Projects

Nuankaew¹,

Phanniphong²,

Bussaman³

et al. 2020

Adv. sci. technol. eng. syst. j.

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Senior projects allow students to move the learning process from basic knowledge to an interdisciplinary approach. The purpose of this research is (1) to analysis attitude and perception, which is a collaboration between teachers and students to develop a model for clustering of appropriate advisors and advisee who cooperate in senior project, and (2) to develop factors that are significant to predict the right match in senior projects course. Data collection was a questionnaire consisting of 463 samples from 7 administrators, 68 lecturers, 26 staff and 362 students from two institutions: The Rajabhat Mahasarakham University, and the University of Phayao. The research methodology was designed and divided into three sections: preparation, implementation, and conclusion. The result shows that the satisfaction and the overall acceptance level were at a high level (mean = 4.04, S.D. = 0.88). Moreover, the developed model has the highest level of efficiency (accuracy = 98.06%). While the factors that are important for matching recommendations consists of 9 factors: policies of the organization, vision of the organization, mission of the organization, experience and achievements of researchers, qualifications of research team, interest in the research topics, impressions and examples in the past, technology and laboratory support, and budget support. For the future, the researchers are aimed to research on the development of students' academic achievement and aims to promote a learning culture based on the results of this research.

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Proactive Learning Culture: Practical Learning and Experience from Research into Senior Projects

Nuankaew¹,

Bussaman²,

Teeraputon³

et al. 2021

IJIET

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Senior projects allow students to move the learning process from basic knowledge to an interdisciplinary approach. The purpose of the research is to survey the attitude and perception as collaboration between researchers and students to develop a clustering model for advisors and students, and to develop factors that are significant to predict the right match in the senior projects course. Data collection was with a questionnaire consisting of 463 samples from 7 administrators, 68 lecturers, 26 staff and 362 students from two universities: The Rajabhat Mahasarakham University, and the University of Phayao. The research methodology is designed and divided into three sections: preparation, implementation, and conclusion. The result shows that the satisfaction and the overall acceptance level were at a high level (mean = 4.04, S.D. = 0.88). Moreover, the developed model has the highest level of efficiency (accuracy = 98.06%). For future research projects, the researchers are committed on the development of learners’ achievement and aims to promote a learning culture based on the results of this research, and active learning of educational institutions.

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Analysis Dropout Situation of Business Computer Students at University of Phayao

Cited by 7 publications

References 11 publications

Clustering of Mindset towards Self-Regulated Learning of Undergraduate Students at the University of Phayao

Clustering of Mindset towards Self-Regulated Learning of Undergraduate Students at the University of Phayao

Mentoring Model in an Active Learning Culture for Undergraduate Projects

Proactive Learning Culture: Practical Learning and Experience from Research into Senior Projects

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