Implementation of Web-based Character Assessment on Students' Character Outcomes: A Review on Perception and Gender

Asrial, Asrial; Syahrial, Syahrial; Kurniawan, Dwi Agus; Aldila, Febri Tia; Iqbal, Muhammad

doi:10.3926/jotse.1564

Cited by 24 publications

(3 citation statements)

References 136 publications

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“…The proposed AGS-MLS model analysis includes the ML algorithms like NB [23], DT [24], RF [25], SVM [26], LR [27], KNN [28]. The analysis of these algorithm with respect to the parameters like MAE, MSE, RMSE and R^2 are given in table 4.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Design and Implementation of Machine Learning Algorithms in Automatic Grading of Students' Assignments

Fang Xu

2024

jes

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This study introduces machine learning methods for automatically grading students' assignments, catering to the changing demands of education in the digital age. By utilizing diverse techniques, the aim is to simplify the grading process, give prompt feedback, and improve overall efficiency in assessment practices. The research delves into the different types of assignments such as written responses and coding tasks, and presents a range of ML algorithms including NB, Decision Trees (DT), RF, SVM, Linear Regression (LR), KNN, and Ensemble Methods (EMs). The implementation involves extracting relevant features from assignments, preprocessing data to handle noise and outliers, and training models on a varied set of examples. The grading system prioritizes interpretability, accuracy, and efficiency while aligning with educational objectives and grading policies. Evaluation is done using suitable metrics like recall, accuracy, precision, F1 score for each algorithm. The study contributes to the progress of automated grading systems by providing valuable insights for educators on the potential impact of machine learning in enhancing assessment processes. Additionally, the designed algorithms demonstrate adaptability for different types of assignments and serve as a foundation for future enhancements in grading precision and efficiency.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

Design and Implementation of Machine Learning Algorithms in Automatic Grading of Students' Assignments

Fang Xu

2024

jes

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“…The curiosity character questionnaire was adapted from Herwin & Nurhayati (2021) which consisted of 30 valid statements using a Likert scale of 4 with a Cronbach alpha value of 0.701. The student response questionnaire to web-based assessment was adapted from research by Asrial et al (2023), which consisted of 26 valid statements using a Likert scale of 5 with a Cronbach alpha value of 0.724.…”

Section: Methodsmentioning

confidence: 99%

Quantitative Analysis Of Elementary School Students' Curiosity and Web-Based Assessment Responses

Asrial

Syahrial

Sabil

et al. 2023

IJOLAE

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The use of web-based assessment at the elementary school level is a novelty in this research. The purpose of this research is to find out the comparison of the character of curiosity and the comparison of student responses to the use of web-based assessment. In addition, it is also to determine the effect of the character of curiosity on student responses in using web-based assessments. This research is quantitative research with associative and comparative research types. The sample used in this study were high school elementary school students at 64 Muara Bulian elementary school and 80 Muara Bulian elementary school. The sam-pling technique in this study was random sampling. The data analysis technique in this study is a quantita-tive analysis technique using data processing assistance. The results of the t test with sig. (2-tailed) less than 0.05, it can be seen that there are differences in the character of students' curiosity and there are differences in student responses to the use of web-based assessments. The results of the regression test with a signifi-cance value of 0.009 which means less than 0.05 so that the character of curiosity influences student re-sponses in using web-based assessments. The significant influence here means that students who have a good character of curiosity will also respond well to the use of web-based assessment.

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“…International Journal of Instruction, April 2023• Vol.16, No.2 Alessio et al, 2019Syahrial et al, 2022;Asrial et al, 2023). Thus, science process skills and critical thinking skills need to be improved.…”

Section: Impact Of Science Process Skills On Thinking Skills In Rural …mentioning

confidence: 99%

Impact of Science Process Skills on Thinking Skills in Rural and Urban Schools

Astalini¹,

Kurniawan²,

Kurniawan³

et al. 2023

INT J INSTRUCTION

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Implementation of Web-based Character Assessment on Students' Character Outcomes: A Review on Perception and Gender

Cited by 24 publications

References 136 publications

Design and Implementation of Machine Learning Algorithms in Automatic Grading of Students' Assignments

Design and Implementation of Machine Learning Algorithms in Automatic Grading of Students' Assignments

Quantitative Analysis Of Elementary School Students' Curiosity and Web-Based Assessment Responses

Impact of Science Process Skills on Thinking Skills in Rural and Urban Schools

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