Improving Students’ Moral Logical Thinking and Preventing Violent Acts Through Group Counseling in Senior High Schools

Firman, Firman; Karneli, Yeni; Hariko, Rezki

doi:10.1166/asl.2018.11908

Cited by 11 publications

(11 citation statements)

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“…The possible causes are evaluated, the solutions are set up, and the processes are checked and evaluated. These processes are similar to the prior studies [4], [38]- [40] that analyzed to find the real reasons for the success and failure in seeking knowledge on digital media.…”

Section: Factor Validity and Average Variance Extracted (Ave) Of Dkel...mentioning

confidence: 53%

Digital Knowledge Engineering Learning Model for Undergraduates in Thai Educational Institutions

Suwanroj¹,

Saeung²

2022

IJIET

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Efficient learning management is the learning that can reflect students' identities through creating work following desirable competencies. It can develop students by providing opportunities to practice thinking about, using, and applying knowledge to real-life situations under the learning management in the digital age. The objectives of this research were to study and analyze the factors of the Digital Knowledge Engineering Learning Model: DKELM discussed by the group of experts who are all teachers from the government educational institutions in Thailand covering all undergraduate programs. The research instrument was a five-point Likert scale questionnaire about DKELM factors for undergraduates. Data were collected from 1,126 questionnaires from the sample group of 1,126 experts. The researchers used IBM SPSS Statistics 14.0 for descriptive statistical analysis and LISREL 8.72 for the second-order confirmatory factor analysis (CFA). Each aspect's content validity and reliability were .95 - .97, and each factor's content validity and reliability were .93 - .98. The research was employed by the Nakhon Si Thammarat Rajabhat University students, Nakhon Si Thammarat Province, Thailand, in 2019-2020. The discovery of the research was DKELM consisting of six knowledge-related processes gained from 18 variables: 1) Creation, 2) Storing, 3) Acquisition, 4) Access, 5) Sharing, and 6) Application. The findings are important and valuable because they can improve DKELM to develop digital and logical thinking skills for undergraduates in Thai educational institutions in the following research phase. Also, they can be used as a model to manage the learning in the digital age to emphasize and reflect the identities of each student through practical experience.

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Section: Factor Validity and Average Variance Extracted (Ave) Of Dkel...mentioning

confidence: 53%

Digital Knowledge Engineering Learning Model for Undergraduates in Thai Educational Institutions

Suwanroj¹,

Saeung²

2022

IJIET

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“…Efforts to overcome the problems experienced by students, one of which is through guidance and counseling services in schools, namely group guidance services. The use of group guidance is more for overcoming learning, personal, social and career problems (Firman, Karneli, & Hariko, 2018).…”

Section: Introductionmentioning

confidence: 99%

Improving Student Adjustment in Learning in the New Normal Era through Group Guidance Using a Behavioristic Approach with Modeling Techniques

Sandi

Firman

2022

Int. Jour. App. Couns. SocSciences

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This study aims to: (1) analyze the differences in students' self-adjustment in learning the experimental group before and after attending the group guidance service using a behavioristic approach with modeling techniques, (2) analyzing the differences in student adjustment in learning the control group before and after attending the group guidance service. without special treatment, (3) analyzing the difference between students' adjustment in learning the experimental group and the control group after participating in group guidance services using a behavioristic approach with modeling techniques compared to the control group following group guidance without special treatment. The research method used is quantitative research. This type of research is Quasi Experiment Design. The population in this study was 218 students, using the Slovin formula to 141 students, then from the results of the overall data taken 22 students who were divided into 11 students for the experimental group and 11 students for the control group. Sampling used Simple Random Sampling. The research instrument used a Likert Scale model, the data were analyzed using the Wilcoxon Signed Ranks Test and the Kolmogorov-Smirnov with the help of SPSS version 20.00. The results showed that (1) there were differences in students' self-adjustment in learning the experimental group before and after taking group guidance using a behavioristic approach with modeling techniques, (2) there were differences in student adjustment in learning the control group before and after taking group guidance without special treatment. , (3) there are differences in student adjustment in learning the experimental group who followed group guidance using a behavioristic approach with modeling techniques compared to the control group who was given group guidance without special treatment.

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“…The implementation of group guidance services has been carried out, but has experienced limitations in overcoming student resilience problems. The use of group guidance is more for overcoming learning, personal, social and career problems (Firman, Karneli, & Hariko, 2018).…”

Section: Introductionmentioning

confidence: 99%

Improving student resilience in the era new normal through group guidance using Cognitive Restructuring Techniques

Hastuti

Firman

Neviyarni

et al. 2022

Int. Jour. App. Couns. SocSciences

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Today the world of education has changed from offline to online so that students cannot escape the crush that causes students to procrastinate a lot of assignments, be late in collecting assignments, cannot manage study time, do not dare to ask questions when they have difficulty understanding the subject matter, have difficulty understanding teacher instructions, students must provide quota packages, this causes students to like to complain, be confused, despair and give up easily, students are anxious, worried about missing lessons, and feel bored, this condition shows problems that come from resilience. Various crushes experienced by students in the new normal era have not been effective by being given group guidance to overcome it. Therefore, this study aims to (1) analyze differences in student resilience before being compared after taking group guidance using cognitive restructuring techniques, (2) analyzing differences before compared to after taking group guidance without special treatment, (3) analyzing differences in student resilience after attending group guidance using cognitive restructuring techniques compared to those following group guidance without special treatment.The research method used is quantitative research. This type of research is a Quasi Experiment Design with a pretest posttest control group design. The population in this study was 192 students, and 20 students were taken which were divided into 10 students for the experimental group and 10 students for the control group. Sampling used simple random sampling. The research instrument used was a Likert Scale model.The results showed that (1) there was a significant difference in student resilience before and after taking group guidance using cognitive restructuring techniques, (2) there was a significant difference in student resilience before and after taking group guidance without special treatment, (3) there was a significant difference resilience of students who follow group guidance using cognitive restructuring techniques and follow group guidance without special treatment. Therefore, group guidance on cognitive restructuring techniques is effective in increasing student resilience in the era new normal.

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Improving Students’ Moral Logical Thinking and Preventing Violent Acts Through Group Counseling in Senior High Schools

Cited by 11 publications

References 0 publications

Digital Knowledge Engineering Learning Model for Undergraduates in Thai Educational Institutions

Digital Knowledge Engineering Learning Model for Undergraduates in Thai Educational Institutions

Improving Student Adjustment in Learning in the New Normal Era through Group Guidance Using a Behavioristic Approach with Modeling Techniques

Improving student resilience in the era new normal through group guidance using Cognitive Restructuring Techniques

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