Classification of Engineering Students' Self-Efficacy Towards Visual-Verbal Preferences Using Data Mining Methods

Kurniawan, Citra; Setyosari, Punaji; Kamdi, Waras; Ulfa, Saida

doi:10.33225/pec/19.77.349

Cited by 5 publications

(5 citation statements)

References 14 publications

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“…The new simulation has been made through the visual form of the mask. Students' great interest in visual form images (Kurniawan, Setyosari, Kamdi, & Ulfa, 2019) is in line with the dissertation from Brenner (2010) in the implementation of ABL, actually students who have very little artistic skills can also create great art. Student-centered learning makes it easier to adapt and reduce students' burden in understanding and learning the material presented by the teacher (Putranta & Jumadi, 2019).…”

Section: Discussionmentioning

confidence: 55%

The Effect of Art-Based Learning to Improve Teaching Effectiveness in Pre-Service Teachers

Zakaria¹,

Setyosari

Sulton

et al. 2019

Journal for the Education of Gifted Young Scientists

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This research aims to examine the effect of applying art-based learning model to the learning outcomes of effective teaching behavior of students in microteaching classes. The research design used a quasi-experimental design of non-equivalent control group design. Participants were students' microteaching classes in the Department of Islamic Studies, Universitas Islam Malang academic year 2018/2019. The subjects of this study were 103 pre-service teacher students consisting of 4 classes (2 experimental classes and 2 control classes, (54) in the experimental group, (49) in the control class). The experimental classes are taught art-based learning models and control classes are taught by practice-based models. The data tools used teacher observation instrument connecting descriptions of how effective teaching was. Research data were analyzed by independent sample t-test. It was found that pre-service teacher students' outcomes in the form of effective teaching behavior produced by art-based learning is higher than student learning outcomes used practice-based models.

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Section: Discussionmentioning

confidence: 55%

The Effect of Art-Based Learning to Improve Teaching Effectiveness in Pre-Service Teachers

Zakaria¹,

Setyosari

Sulton

et al. 2019

Journal for the Education of Gifted Young Scientists

Self Cite

View full text Add to dashboard Cite

show abstract

“…The new simulation has been made through the visual form of the mask. Students' great interest in visual form images (Kurniawan et al 2019) is in line with the dissertation from Brenner (2010) in the implementation of ABL, actually students who have very little artistic skills can also create great art. Student-centered learning makes it easier to adapt and reduce students' burden in understanding and learning the material presented by the teacher (Putranta & Jumadi, 2019).…”

Section: Discussionmentioning

confidence: 55%

Scaffolding through cognitive mapping based on diagnosing students difficulties in solving problem

Buhaerah¹

2022

Journal for the Education of Gifted Young Scientists

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This study shows the diagnosis of difficulties faced by students when solving problems with a system of linear equations with three variables and efforts to overcome them by providing scaffolding interventions. The approach used in this study is qualitative. The sample selection using a purposive sampling technique was made by giving three math problems, the topic of a system of linear equations with two variables, then three students were selected to be the research subjects. The selection of students is determined based on the category of communication skills and low, medium, or high mathematical abilities. The research data were obtained from 3 sources: test sheets, semistructured interviews, and the results of student work after scaffolding was given. Several research results show students' difficulties in solving three-variable linear equation systems problems based on Polya-based cognitive mapping: first, the difficulty in understanding the problem. This difficulty arises because of mental holes that students should not have at grade levels, such as knowledge of fractions, algebra, basic concepts of triangles, and others. Second: Difficulty compiling a solution. This can be seen when students cannot correctly model contextual problems into mathematical models. Third, the implementation of the complete plan can be identified through students' mistakes when performing arithmetical algebraic operations and applying appropriate mathematical rules/principles, the leading cause of which can occur due to inaccuracy and misconceptions about mathematical concepts. The researchers tried to overcome these problems by providing Level 2 scaffolding with the techniques proposed by Angirelli, including (explaining, reviewing, and restructuring).

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“…This method uses machine learning software such as Python. An iterative process divides groups to produce a set of clusters (k) of the levels of the succulent attributes [68]. In performing k-means clustering, the average scores of each level must be identified first [69].…”

Section: K-means Clustermentioning

confidence: 99%

Plantitas/Plantitos Preference Analysis on Succulents Attributes and Its Market Segmentation: Integrating Conjoint Analysis and K-means Clustering for Gardening Marketing Strategy

et al. 2022

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Many people have switched to gardening as their new hobby during the COVID-19 pandemic, including Filipinos. With its increasing popularity, Filipinos called the new hobbyists “plantitas” and “plantitos” instead of the old-fashioned term “plant people”. Among different plants, succulents are one of the most popular for plant lovers as they can thrive with even minimal care, making them suitable to be an indoor/outdoor plant. This study aims to determine the various preferences of plantitas and plantitos based on succulent attributes using a conjoint analysis approach, and to discover the market segments using a k-means clustering approach. The attributes presented in this study are the types of succulents, succulent variegation, price, size of the succulent (in terms of diameter), size of the pot, pot material, and payment method. The conjoint analysis results indicated that the price was the attribute that significantly affected consumer buying behavior, followed by the diameter size of the succulent. On the other hand, the k-means cluster analysis identified three customer segments based on the buying frequency of customers, namely high-value customers, core-value customers, and lower-value customers. A marketing strategy for succulent sellers was proposed based on these segmentations, particularly on how to gain and attract more customers. This study is one of the first studies that analyzed the preferences related to succulent attributes. Finally, the conjoint analysis approach and k-means clustering in this study can be utilized to analyze succulent preferences worldwide.

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Classification of Engineering Students' Self-Efficacy Towards Visual-Verbal Preferences Using Data Mining Methods

Cited by 5 publications

References 14 publications

The Effect of Art-Based Learning to Improve Teaching Effectiveness in Pre-Service Teachers

The Effect of Art-Based Learning to Improve Teaching Effectiveness in Pre-Service Teachers

Scaffolding through cognitive mapping based on diagnosing students difficulties in solving problem

Plantitas/Plantitos Preference Analysis on Succulents Attributes and Its Market Segmentation: Integrating Conjoint Analysis and K-means Clustering for Gardening Marketing Strategy

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