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Year 2021, , 57 - 66, 15.03.2021
https://doi.org/10.17478/jegys.817277

Abstract

References

  • Abante, M. E. R., Almendral, B. C., Manansala, J. R. E., & Mañibo, J. (2014). Learning styles and factors affecting the learning of general engineering students. International Journal of Academic Research in Progressive Education and Development, 3(1), 16-27.
  • Andheska, H., Suparno, S., Dawud, D., & Suyitno, İ. (2020). Writing Motivation and The Ability in Writing a Research Proposal of Generation Z Students Based on Cognitive Style. Journal for the Education of Gifted Young Scientists, 8(1), 87-104.
  • Asrial, A., Syahrial, S., Kurniawan, D. A., & Anandari, Q. S. (2020). Digitalization of Ethno Constructivism Based Module for Elementary School Students. Jurnal Ilmu Pendidikan, 25(1), 33-42.
  • Asrial, A., Syahrial, S., Maison, M., Kurniawan, D. A., & Piyana, S. O. (2020). Ethnoconstructivism E-Module to Improve Perception, Interest, And Motivation of Students in Class V Elementary School. JPI (Jurnal Pendidikan Indonesia), 9(1).
  • Astalini, A., Kurniawan, D. A., Darmaji, D., & Anggraini, L. (2020). Comparison of Students’ Attitudes in Science Subjects In Urban And Rural Areas. Journal of Educational Science and Technology (EST), 6(2).
  • Atkins, L., & Wallace, S. (2012). Qualitative research in education. SAGE publications
  • Azhary, S. A., Supahar, S., Kuswanto, K., Ikhlas, M., & Devi, I. P. (2020). Relationship Between Behavior of Learning and Student Achievement in Physics Subject. Jurnal Pendidikan Fisika Indonesia, 16(1), 1-8.
  • Baid, H., & Lambert, N. (2010). Enjoyable learning: the role of humor, games, and fun activities in nursing and midwifery education. Nurse Education Today, 30(6), 548-552.
  • Bakla, A. (2018). Learner-generated materials in a flipped pronunciation class: A sequential explanatory mixed-methods study. Computers & Education, 125, 14-38.
  • Buckley, P., & Doyle, E. (2017). Individualizing gamification: An investigation of the impact of learning styles and personality traits on the efficacy of gamification using a prediction market. Computers & Education, 106, 43-55.
  • Chang, C. S., Liu, E. Z. F., Sung, H. Y., Lin, C. H., Chen, N. S., & Cheng, S. S. (2014). The effects of online college student’s Internet self-efficacy on learning motivation and performance. Innovations in Education and Teaching International, 51(4), 366-377.
  • Creswell, J. W., & Clark, V. L. P. (2017). Designing and conducting mixed methods research. Sage publications.
  • Darling-Hammond, L., & Snyder, J. (2015). Meaningful learning in a new paradigm for educational accountability: An introduction. education policy analysis archives, 23, 7.
  • Darmaji, Astalini, Kurniawan, D. A., Lumbantoruan, A., & Samosir, S. C. (2019). Mobile Learning in Higher Education for The Industrial Revolution 4.0: Perception and Response of Physics Practicum. International Journal of Interactive Mobile Technologies, 13(9).
  • Darmaji, D., Astalini, A., Kurniawan, D. A., Parasdila, H., Irdianti, I., Susbiyanto, S., Kuswanto & Ikhlas, M. (2019). E-Module Based Problem Solving in Basic Physics Practicum for Science Process Skills. International Journal of Online and Biomedical Engineering (iJOE), 15(15), 4-17.
  • Dogan, U. (2015). Student engagement, academic self-efficacy, and academic motivation as predictors of academic performance. The Anthropologist, 20(3), 553-561.
  • Eisenkopf, G. (2010). Peer effects, motivation, and learning. Economics of Education Review, 29(3), 364-374.
  • Fernandez, M. L. (2010). Investigating how and what prospective teachers learn through microteaching lesson study. Teaching and Teacher Education, 26(2), 351-362.
  • Fujii, T. (2019). Designing and adapting tasks in lesson planning: A critical process of lesson study. In Theory and Practice of Lesson Study in Mathematics (pp. 681-704). Springer, Cham.
  • Gadelshina, G., Vemury, C., & Attar, A. (2018). Meaningful learning and the integration of responsible management education in the business school courses. International Journal of Modern Education Studies, 2(1), 24-33.
  • Ghaedi, Z., & Jam, B. (2014). Relationship between Learning Styles and Motivation for Higher Education in EFL Students. Theory & Practice in Language Studies, 4(6).
  • Gilakjani, A. P. (2012). Visual, auditory, kinesthetic learning styles and their impacts on English language teaching. Journal of Studies in Education, 2(1), 104-113.
  • Gurpinar, E., Alimoglu, M. K., Mamakli, S., & Aktekin, M. (2010). Can learning style predict student satisfaction with different instruction methods and academic achievement in medical education?. Advances in Physiology Education, 34(4), 192-196.
  • Holliday, T. L., & Said, S. H. (2008). Psychophysiological Measures of Learning Comfort: Study Groups' Learning Styles and Pulse Changes. Learning Assistance Review, 13(1), 7-16.
  • Keskitalo, T., Pyykkö, E., & Ruokamo, H. (2011). Exploring the meaningful learning of students in Second Life. Educational Technology & Society, 14(1), 16-26.
  • Kim, C., & Pekrun, R. (2014). Emotions and motivation in learning and performance. In Handbook of research on educational communications and technology (pp. 65-75). Springer, New York, NY.
  • Komarraju, M., Karau, S. J., Schmeck, R. R., & Avdic, A. (2011). The Big Five personality traits, learning styles, and academic achievement. Personality and Individual Differences, 51(4), 472-477.
  • Kuo, C. C., Maker, J., Su, F. L., & Hu, C. (2010). Identifying young gifted children and cultivating problem solving abilities and multiple intelligences. Learning and Individual Differences, 20(4), 365-379.
  • Leasa, M., & Corebima, A. D. (2017). Emotional Intelligence among Auditory, Reading, and Kinesthetic Learning Styles of Elementary School Students in Ambon-Indonesia. International Electronic Journal of Elementary Education, 10(1), 83-91.
  • Lee, Y. J. (2011). Scratch: Multimedia programming environment for young gifted learners. Gifted Child Today, 34(2), 26-31.
  • Lichtman, M. (2012). Qualitative research in education: A user's guide. Sage publications.
  • McMillan, J. H., & Schumacher, S. (2010). Research in Education: Evidence-Based Inquiry, MyEducationLab Series. Pearson.
  • Mendoza, D. J., & Mendoza, D. I. (2018). Information and communication technologies as a didactic tool for the construction of meaningful learning in the area of mathematics. International Electronic Journal of Mathematics Education, 13(3), 261-271.
  • Mooij, T. (2013). Designing instruction and learning for cognitively gifted pupils in preschool and primary school. International Journal of Inclusive Education, 17(6), 597-613.
  • Muijs, D. (2010). Doing quantitative research in education with SPSS. Sage
  • Özgür, S. D., & Yılmaz, A. (2017). The effect of inquiry-based learning on gifted and talented students’ understanding of acids-bases concepts and motivation. Journal of Baltic Science Education, 16(6), 994.
  • Rahman, A., & Ahmar, A. (2017). The relationship between learning styles and learning achievement in mathematics based on genders. World Transactions on Engineering and Technology Education, 15(1).
  • Reeve, J. (2012). A self-determination theory perspective on student engagement. In Handbook of research on student engagement (pp. 149-172). Springer, Boston, MA.
  • Reyes-García, V., Kightley, E., Ruiz-Mallén, I., Fuentes-Peláez, N., Demps, K., Huanca, T., & Martínez-Rodríguez, M. R. (2010). Schooling and local environmental knowledge: Do they complement or substitute each other?. International Journal of Educational Development, 30(3), 305-313.
  • Riener, C., & Willingham, D. (2010). The myth of learning styles. Change: The magazine of higher learning, 42(5), 32-35.
  • Roach, T. (2014). Student perceptions toward flipped learning: New methods to increase interaction and active learning in economics. International Review of Economics Education, 17, 74-84.
  • Romance, N. R., & Vitale, M. R. (2013). A Research-Based Instructional Model for Integrating Meaningful Learning in Elementary Science and Reading Comprehension. Developmental cognitive science goes to school, 127-42.
  • Seber, G. A., & Lee, A. J. (2012). Linear regression analysis (Vol. 329). John Wiley & Sons.
  • Surjono, H. D. (2015). The effects of multimedia and learning style on student achievement in online electronics course. Turkish Online Journal of Educational Technology-TOJET, 14(1), 116-122.
  • Tai, F. M. (2013). Adult EFL students' preferred learning styles and motivation. The Journal of Human Resource and Adult Learning, 9(2), 161.
  • Tanti, Maison, A. Mukminin, Syahrial, A. Habibi and Syamsurizal. (2018). Exploring the Relationship between Preservice Science Teachers’ Beliefs and Self-Regulated Strategies of Studying Physics: A Structural Equation Model. Journal of Turkish Science Education, 15(4), 79-92.
  • Tirri, K., Kuusisto, E., & Aksela, M. (2013). What Kind of Learning is Interactive and Meaningful to Gifted Science Students?. In Interaction in educational domains (pp. 131-145). Sense Publishers, Rotterdam.
  • Tolppanen, S., & Aksela, M. (2013). Important social and academic interactions in supporting gifted youth in non-formal education. LUMAT: International Journal of Math, Science and Technology Education, 1 (3), 279-298.
  • Uğur, B., Akkoyunlu, B., & Kurbanoğlu, S. (2011). Students’ opinions on blended learning and its implementation in terms of their learning styles. Education and Information Technologies, 16(1), 5-23.
  • Ushioda, E. (2012). Motivation: L2 learning as a special case?. In Psychology for language learning (pp. 58-73). Palgrave Macmillan, London.
  • Vachliotis, T., Salta, K., & Tzougraki, C. (2014). Meaningful understanding and systems thinking in organic chemistry: Validating measurement and exploring relationships. Research in Science Education, 44(2), 239-266.
  • Wang, M. T., & Holcombe, R. (2010). Adolescents’ perceptions of school environment, engagement, and academic achievement in middle school. American Educational Research Journal, 47(3), 633-662.

Learning style and motivation: gifted young students in meaningful learning

Year 2021, , 57 - 66, 15.03.2021
https://doi.org/10.17478/jegys.817277

Abstract

This study aims to look at how the learning styles of young gifted students in Islamic education which is meaningful learning, then also see how the learning motivation, and how the influence of learning styles of learning motivation of the young gifted students. This research is a mixed study using a sequential explanatory approach. The sample of this study is the children of the young gifted students at Elementary education level, which focuses on Islamic learning. This research was conducted in two different places, namely in urban areas and in rural school areas. Researchers used a purposive sampling technique to get a number of samples, based on the technique were used, obtained by 108 students participating, with 57 students from urban school areas and 51 students from rural school areas based on the grades given by the teacher. Two types of instruments have been used in this study, namely questionnaires relating to learning styles and student motivation, as well as in-depth interview guides. The questionnaire uses a Likert scale of 5 with a Cronbach alpha value of 0.81 for the learning style questionnaire and 0.79 for the student learning motivation questionnaire. Data analysis in the form of descriptive statistics such as mean, frequency, percentage, standard deviation, min and max, and inferential statistics such as simple regression and independent sample t-test was used to answer the question of the study. The results show that the learning styles of the young gifted students in Islamic learning are very varied and good, both urban and rural school areas. Motivational results also show very good results where students feel motivated by meaningful learning both in urban school areas and rural school areas. Furthermore, further analysis shows the significant influence of student learning styles on student motivation. Independent sample t-test also shows that there are differences in the mean of students' learning styles and motivation among students who study in urban areas and students who study in rural areas, which have higher motivation and learning styles in urban students compared to students who study in rural areas. Lastly, researchers hope that further research will examine the Indonesian young gifted students, especially research, such as learning styles with student learning outcomes, or motivation towards learning outcomes, which focus on Islamic learning with the implementation of meaningful learning.

References

  • Abante, M. E. R., Almendral, B. C., Manansala, J. R. E., & Mañibo, J. (2014). Learning styles and factors affecting the learning of general engineering students. International Journal of Academic Research in Progressive Education and Development, 3(1), 16-27.
  • Andheska, H., Suparno, S., Dawud, D., & Suyitno, İ. (2020). Writing Motivation and The Ability in Writing a Research Proposal of Generation Z Students Based on Cognitive Style. Journal for the Education of Gifted Young Scientists, 8(1), 87-104.
  • Asrial, A., Syahrial, S., Kurniawan, D. A., & Anandari, Q. S. (2020). Digitalization of Ethno Constructivism Based Module for Elementary School Students. Jurnal Ilmu Pendidikan, 25(1), 33-42.
  • Asrial, A., Syahrial, S., Maison, M., Kurniawan, D. A., & Piyana, S. O. (2020). Ethnoconstructivism E-Module to Improve Perception, Interest, And Motivation of Students in Class V Elementary School. JPI (Jurnal Pendidikan Indonesia), 9(1).
  • Astalini, A., Kurniawan, D. A., Darmaji, D., & Anggraini, L. (2020). Comparison of Students’ Attitudes in Science Subjects In Urban And Rural Areas. Journal of Educational Science and Technology (EST), 6(2).
  • Atkins, L., & Wallace, S. (2012). Qualitative research in education. SAGE publications
  • Azhary, S. A., Supahar, S., Kuswanto, K., Ikhlas, M., & Devi, I. P. (2020). Relationship Between Behavior of Learning and Student Achievement in Physics Subject. Jurnal Pendidikan Fisika Indonesia, 16(1), 1-8.
  • Baid, H., & Lambert, N. (2010). Enjoyable learning: the role of humor, games, and fun activities in nursing and midwifery education. Nurse Education Today, 30(6), 548-552.
  • Bakla, A. (2018). Learner-generated materials in a flipped pronunciation class: A sequential explanatory mixed-methods study. Computers & Education, 125, 14-38.
  • Buckley, P., & Doyle, E. (2017). Individualizing gamification: An investigation of the impact of learning styles and personality traits on the efficacy of gamification using a prediction market. Computers & Education, 106, 43-55.
  • Chang, C. S., Liu, E. Z. F., Sung, H. Y., Lin, C. H., Chen, N. S., & Cheng, S. S. (2014). The effects of online college student’s Internet self-efficacy on learning motivation and performance. Innovations in Education and Teaching International, 51(4), 366-377.
  • Creswell, J. W., & Clark, V. L. P. (2017). Designing and conducting mixed methods research. Sage publications.
  • Darling-Hammond, L., & Snyder, J. (2015). Meaningful learning in a new paradigm for educational accountability: An introduction. education policy analysis archives, 23, 7.
  • Darmaji, Astalini, Kurniawan, D. A., Lumbantoruan, A., & Samosir, S. C. (2019). Mobile Learning in Higher Education for The Industrial Revolution 4.0: Perception and Response of Physics Practicum. International Journal of Interactive Mobile Technologies, 13(9).
  • Darmaji, D., Astalini, A., Kurniawan, D. A., Parasdila, H., Irdianti, I., Susbiyanto, S., Kuswanto & Ikhlas, M. (2019). E-Module Based Problem Solving in Basic Physics Practicum for Science Process Skills. International Journal of Online and Biomedical Engineering (iJOE), 15(15), 4-17.
  • Dogan, U. (2015). Student engagement, academic self-efficacy, and academic motivation as predictors of academic performance. The Anthropologist, 20(3), 553-561.
  • Eisenkopf, G. (2010). Peer effects, motivation, and learning. Economics of Education Review, 29(3), 364-374.
  • Fernandez, M. L. (2010). Investigating how and what prospective teachers learn through microteaching lesson study. Teaching and Teacher Education, 26(2), 351-362.
  • Fujii, T. (2019). Designing and adapting tasks in lesson planning: A critical process of lesson study. In Theory and Practice of Lesson Study in Mathematics (pp. 681-704). Springer, Cham.
  • Gadelshina, G., Vemury, C., & Attar, A. (2018). Meaningful learning and the integration of responsible management education in the business school courses. International Journal of Modern Education Studies, 2(1), 24-33.
  • Ghaedi, Z., & Jam, B. (2014). Relationship between Learning Styles and Motivation for Higher Education in EFL Students. Theory & Practice in Language Studies, 4(6).
  • Gilakjani, A. P. (2012). Visual, auditory, kinesthetic learning styles and their impacts on English language teaching. Journal of Studies in Education, 2(1), 104-113.
  • Gurpinar, E., Alimoglu, M. K., Mamakli, S., & Aktekin, M. (2010). Can learning style predict student satisfaction with different instruction methods and academic achievement in medical education?. Advances in Physiology Education, 34(4), 192-196.
  • Holliday, T. L., & Said, S. H. (2008). Psychophysiological Measures of Learning Comfort: Study Groups' Learning Styles and Pulse Changes. Learning Assistance Review, 13(1), 7-16.
  • Keskitalo, T., Pyykkö, E., & Ruokamo, H. (2011). Exploring the meaningful learning of students in Second Life. Educational Technology & Society, 14(1), 16-26.
  • Kim, C., & Pekrun, R. (2014). Emotions and motivation in learning and performance. In Handbook of research on educational communications and technology (pp. 65-75). Springer, New York, NY.
  • Komarraju, M., Karau, S. J., Schmeck, R. R., & Avdic, A. (2011). The Big Five personality traits, learning styles, and academic achievement. Personality and Individual Differences, 51(4), 472-477.
  • Kuo, C. C., Maker, J., Su, F. L., & Hu, C. (2010). Identifying young gifted children and cultivating problem solving abilities and multiple intelligences. Learning and Individual Differences, 20(4), 365-379.
  • Leasa, M., & Corebima, A. D. (2017). Emotional Intelligence among Auditory, Reading, and Kinesthetic Learning Styles of Elementary School Students in Ambon-Indonesia. International Electronic Journal of Elementary Education, 10(1), 83-91.
  • Lee, Y. J. (2011). Scratch: Multimedia programming environment for young gifted learners. Gifted Child Today, 34(2), 26-31.
  • Lichtman, M. (2012). Qualitative research in education: A user's guide. Sage publications.
  • McMillan, J. H., & Schumacher, S. (2010). Research in Education: Evidence-Based Inquiry, MyEducationLab Series. Pearson.
  • Mendoza, D. J., & Mendoza, D. I. (2018). Information and communication technologies as a didactic tool for the construction of meaningful learning in the area of mathematics. International Electronic Journal of Mathematics Education, 13(3), 261-271.
  • Mooij, T. (2013). Designing instruction and learning for cognitively gifted pupils in preschool and primary school. International Journal of Inclusive Education, 17(6), 597-613.
  • Muijs, D. (2010). Doing quantitative research in education with SPSS. Sage
  • Özgür, S. D., & Yılmaz, A. (2017). The effect of inquiry-based learning on gifted and talented students’ understanding of acids-bases concepts and motivation. Journal of Baltic Science Education, 16(6), 994.
  • Rahman, A., & Ahmar, A. (2017). The relationship between learning styles and learning achievement in mathematics based on genders. World Transactions on Engineering and Technology Education, 15(1).
  • Reeve, J. (2012). A self-determination theory perspective on student engagement. In Handbook of research on student engagement (pp. 149-172). Springer, Boston, MA.
  • Reyes-García, V., Kightley, E., Ruiz-Mallén, I., Fuentes-Peláez, N., Demps, K., Huanca, T., & Martínez-Rodríguez, M. R. (2010). Schooling and local environmental knowledge: Do they complement or substitute each other?. International Journal of Educational Development, 30(3), 305-313.
  • Riener, C., & Willingham, D. (2010). The myth of learning styles. Change: The magazine of higher learning, 42(5), 32-35.
  • Roach, T. (2014). Student perceptions toward flipped learning: New methods to increase interaction and active learning in economics. International Review of Economics Education, 17, 74-84.
  • Romance, N. R., & Vitale, M. R. (2013). A Research-Based Instructional Model for Integrating Meaningful Learning in Elementary Science and Reading Comprehension. Developmental cognitive science goes to school, 127-42.
  • Seber, G. A., & Lee, A. J. (2012). Linear regression analysis (Vol. 329). John Wiley & Sons.
  • Surjono, H. D. (2015). The effects of multimedia and learning style on student achievement in online electronics course. Turkish Online Journal of Educational Technology-TOJET, 14(1), 116-122.
  • Tai, F. M. (2013). Adult EFL students' preferred learning styles and motivation. The Journal of Human Resource and Adult Learning, 9(2), 161.
  • Tanti, Maison, A. Mukminin, Syahrial, A. Habibi and Syamsurizal. (2018). Exploring the Relationship between Preservice Science Teachers’ Beliefs and Self-Regulated Strategies of Studying Physics: A Structural Equation Model. Journal of Turkish Science Education, 15(4), 79-92.
  • Tirri, K., Kuusisto, E., & Aksela, M. (2013). What Kind of Learning is Interactive and Meaningful to Gifted Science Students?. In Interaction in educational domains (pp. 131-145). Sense Publishers, Rotterdam.
  • Tolppanen, S., & Aksela, M. (2013). Important social and academic interactions in supporting gifted youth in non-formal education. LUMAT: International Journal of Math, Science and Technology Education, 1 (3), 279-298.
  • Uğur, B., Akkoyunlu, B., & Kurbanoğlu, S. (2011). Students’ opinions on blended learning and its implementation in terms of their learning styles. Education and Information Technologies, 16(1), 5-23.
  • Ushioda, E. (2012). Motivation: L2 learning as a special case?. In Psychology for language learning (pp. 58-73). Palgrave Macmillan, London.
  • Vachliotis, T., Salta, K., & Tzougraki, C. (2014). Meaningful understanding and systems thinking in organic chemistry: Validating measurement and exploring relationships. Research in Science Education, 44(2), 239-266.
  • Wang, M. T., & Holcombe, R. (2010). Adolescents’ perceptions of school environment, engagement, and academic achievement in middle school. American Educational Research Journal, 47(3), 633-662.
There are 52 citations in total.

Details

Primary Language English
Subjects Other Fields of Education, Studies on Education
Journal Section Thinking Skills
Authors

Zubaedi Zubaedi 0000-0003-0681-8770

Alfauzan Amin 0000-0003-4304-1040

Asiyah Asiyah This is me 0000-0001-8508-3746

Suhirman Suhirman This is me 0000-0001-7573-4613

Alimni Alimni This is me

Aam Amaliyah This is me

Dwi Agus Kurniawan 0000-0002-0130-2436

Publication Date March 15, 2021
Published in Issue Year 2021

Cite

APA Zubaedi, Z., Amin, A., Asiyah, A., Suhirman, S., et al. (2021). Learning style and motivation: gifted young students in meaningful learning. Journal for the Education of Gifted Young Scientists, 9(1), 57-66. https://doi.org/10.17478/jegys.817277
AMA Zubaedi Z, Amin A, Asiyah A, Suhirman S, Alimni A, Amaliyah A, Agus Kurniawan D. Learning style and motivation: gifted young students in meaningful learning. JEGYS. March 2021;9(1):57-66. doi:10.17478/jegys.817277
Chicago Zubaedi, Zubaedi, Alfauzan Amin, Asiyah Asiyah, Suhirman Suhirman, Alimni Alimni, Aam Amaliyah, and Dwi Agus Kurniawan. “Learning Style and Motivation: Gifted Young Students in Meaningful Learning”. Journal for the Education of Gifted Young Scientists 9, no. 1 (March 2021): 57-66. https://doi.org/10.17478/jegys.817277.
EndNote Zubaedi Z, Amin A, Asiyah A, Suhirman S, Alimni A, Amaliyah A, Agus Kurniawan D (March 1, 2021) Learning style and motivation: gifted young students in meaningful learning. Journal for the Education of Gifted Young Scientists 9 1 57–66.
IEEE Z. Zubaedi, A. Amin, A. Asiyah, S. Suhirman, A. Alimni, A. Amaliyah, and D. Agus Kurniawan, “Learning style and motivation: gifted young students in meaningful learning”, JEGYS, vol. 9, no. 1, pp. 57–66, 2021, doi: 10.17478/jegys.817277.
ISNAD Zubaedi, Zubaedi et al. “Learning Style and Motivation: Gifted Young Students in Meaningful Learning”. Journal for the Education of Gifted Young Scientists 9/1 (March 2021), 57-66. https://doi.org/10.17478/jegys.817277.
JAMA Zubaedi Z, Amin A, Asiyah A, Suhirman S, Alimni A, Amaliyah A, Agus Kurniawan D. Learning style and motivation: gifted young students in meaningful learning. JEGYS. 2021;9:57–66.
MLA Zubaedi, Zubaedi et al. “Learning Style and Motivation: Gifted Young Students in Meaningful Learning”. Journal for the Education of Gifted Young Scientists, vol. 9, no. 1, 2021, pp. 57-66, doi:10.17478/jegys.817277.
Vancouver Zubaedi Z, Amin A, Asiyah A, Suhirman S, Alimni A, Amaliyah A, Agus Kurniawan D. Learning style and motivation: gifted young students in meaningful learning. JEGYS. 2021;9(1):57-66.
By introducing the concept of the "Gifted Young Scientist," JEGYS has initiated a new research trend at the intersection of science-field education and gifted education.