Science Adaptive Assessment Tool: Kolb’s Learning Style Profile and Student’s Higher Order Thinking Skill Level

Z. Zulfiani, I. P. Suwarna, M. F. Sumantri

Abstract

This study aims to determine students’ profiles of learning styles, levels of higher-order thinking skills, and the effect of differences in students’ competence to various HOTS instruments using the Science Adaptive Assessment Tool application. In this study, researcher used the descriptive survey approach. The subjects of this study were 251 students of grade 8 (Al-Zahra Indonesia Secondary school and MTsN 1 South Tangerang (Islamic Secondary school) academic year of 2019/2020. The research instrument used was a test to measure 21st century skills (HOTS), which varied on the learning styles of students studying natural science (Biology and Physics). The instrument was validated by expert judgment and empirically tested in order to obtain instrument reliability of learning style with adequate to high category variations. The results shows: (1) the profile of the most popular student learning styles is the assimilator (27,50%), while at least it is converger (20,71%); (2) Females tend to have assimilator learning style pattern, while males tend to have an accommodator learning style; (3) The higher-order thinking skills level in the Biology material was moderate (an average score of 39,69 from a maximum score of 70). The physics subject is in the lower category (an average score of 21,28 from a maximum score of 70); (4) The achievement of the HOTS score was influenced by the type of learning style and had average of a very small correlation, (5) There was significant difference incompetence across the Kolb’s learning styles—divergers, assimilators, convergers, and accommodators with the use of various HOTS instruments.

Keywords

learning style; higher order-thinking skill; assessment tool

Full Text:

PDF

References

Abungu, H. E., Okere, M. I., & Wachanga, S. W. (2014). The effect of science process skills teaching approach on secondary school students’ achievement in chemistry in Nyando district, Kenya. Journal of Educational and Social Research, 4(6), 359.

Akram, M., Shahzad, F., Waqas, A. K., Muhammad, L., & Imtiaz, A. W. (2013). An exploration of relationship between perceptual learning style and achievement goals. International Journal of Bussiness and Behavioral Science, 3, 27-35.

Alkooheji, L., & Al-Hattami, A. (2018). Learning Style Preferences among College Students. International Education Studies. 11(10),50-63.

Alsa, A. (2010). Pengaruh Metode Belajar Jigsaw terhadap Keterampilan Hubungan Interpersonal dan Kerjasama Kelompok pada Mahasiswa Fakultas Psikologi. Jurnal Psikologi, 37(2), 165-175.

Ambrose, S. A., Bridges, M. W., DiPietro, M., Lovett, M. C., & Norman, M. K. (2010). How learning works: Seven research-based principles for smart teaching. John Wiley & Sons.

Association for Educational Assessment in Europe (AEA- Europe). (2012). European Framework of Standards for Educational Assessment (Version 1.0). Rome: Edizioni Nuova Cultura.

Atlasi, M. A., Moravveji, A., Nikzad, H., Mehrabadi, V., & Naderian, H. (2017). Learning styles and strategies preferences of Iranian medical students in gross anatomy courses and their correlations with gender. Anatomy & cell biology, 50(4), 255-260.

Azrai, E. P., Ernawati, E., & Sulistianingrum, G. (2017). Pengaruh gaya belajar david kolb (diverger, assimilator, converter, accommodation) terhadap hasil belajar siswa pada materi pencemaran lingkungan. Biosfer: Jurnal Pendidikan Biologi, 10(1), 9-16.

Bhat, M. A. (2018). The effect of learning styles on problem-solving ability among high school students. International Journal of Advances in Social Science and Humanities (IJASSH), 2(7), 1-6.

Bidabadi, F. S., & Yamat, H. (2010). Learning style preferences by Iranian EFL freshman university students. Procedia-Social and Behavioral Sciences, 7, 219-226.

Bryan, C., & Clegg, K. (Eds.). (2019). Innovative Assessment in Higher Education: A Handbook for Academic Practitioners. Routledge.

Castro, M. D. B., & Tumibay, G. M. (2019). A literature review: efficacy of online learning courses for higher education institution using metaanalysis. Education and Information Technologies, 1-19.

Chu, S. K. W., Reynolds, R. B., Tavares, N. J., Notari, M., & Lee, C. W. Y. (2017). 21st Century skills development through inquiry-based learning. Springer: Singapore.

Cimer, A. (2012). What makes biology learning difficult and effective: Students’ views. Educational Research and Reviews, 7(3), 61-71.

Cohen, J. (1992). Statistical power analysis. Current directions in psychological science, 1(3), 98-101.

Darling-Hammond, L., Adamson, F., & Abedi, J. (2010). Beyond Basic Skills: The Role of Performance Assessment in Achieving 21st Century Standards Of Learning. Stanford Center for Opportunity Pollcy in Education.

Dascalu, M. I., Nitu, M., Alecu, G., Bodea, C. N., & Moldoveanu, A. D. B. (2017, June). Formative Assessment Application With Social Media Integration Using Computer Adaptive Testing Techniques. In ICEL 2017-Proceedings of the 12th International Conference on e-Learning (p. 56). Academic Conferences and publishing limited.

Fauzi, A.,& Sa’diyah, W. (2019). Students’ Metacognitive Skills From The Viewpoint of Answering Biological Questions: Is It Already Good?. Jurnal Pendidikan IPA Indonesia,8(3), 317–327.

Farooq, M. S., & Regnier, J. C. (2011). Role of Learning Styles in the Quality of Learning at Different Levels. Informatica Economica, 15(3), 28-45.

Ferrão, M. E., & Prata, P. (2014, June). Item response models in computerized adaptive testing: a simulation study. In International Conference on Computational Science and Its Applications (pp. 552-565). Springer, Cham.

Griffin, P., Care, E., Vista, A., & Scoular, C. (2014a). Using Innovative Measurement Tools Based On Big Data Analytics To Assess Collaborative Problem-Solving Skills And Improve Teaching Strategies In Essential Skills For 21st Century Education. In Edulearn14 Proceedings (Pp. 6364-6375). Iated.

Griffin, P., & Care, E. (Eds.). (2014b). Assessment and teaching of 21st century skills: Methods and approach, Springer.

Heong, Y. M., Kiong, T. T., Mohamad, M. M., Yunos, J., & Othinan, W. (2017). The Difference between Polytechnic Student’s Learning Styles and Their Higher Order Thinking Skills Level. Pertanika Journal of Social Sciences & Humanities, 25S, 233-246.

Heong, Y. M., Othman, W. B., Yunos, J. B. M., Kiong, T. T., Hassan, R. B., & Mohamad, M. M. B. (2011). The level of marzano higher order thinking skills among technical education students. International Journal of Social Science and Humanity, 1(2), 121.

Ibe, H. N. (2015). Effects of learning styles on the performances of senior secondary school biology students. African Research Review, 9(1), 214-227.

Johar, R. (2012). Domain Soal PISA untuk Literasi Matematika. Jurnal Peluang,1(1), 30-40.

Kim, J. (2018). School accountability and standard-based education reform: The recall of social efficiency movement and scientific management. International Journal of Educational Development, 60, 80-87.

Kolb, D. A. (2014). Experiential learning: Experience as the source of learning and development. FT press.

Kopsovich, R. D. (2001). A study of correlations between learning styles of students and their mathematics scores on the Texas Assessment of Academic Skills Test.Doctoral dissertation, University of North Texas.

Krathwohl, D. R., & Anderson, L. W. (2001). A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom’s Taxonomy Of Educational Objectives. Longman.

Kurniati, D., Harimukti, R., & Jamil, N.A. (2016). Kemampuan Berpikir Tingkat Tinggi Siswa SMPdi Kabupaten Jember dalam Menyelesaikan SoalBerstandar PISA. Jurnal Penelitian dan Evaluasi Pendidikan, 20(2),142-155.

Laar, E. V., Deursen, A. J. V., Dijk, J. A. V., & Haan, J. D. (2017). The relation between 21st-century skills and digital skills: A systematic literature review. Computers in Human Behavior, 72, 577-588.

Lee, C., Yeung, A. S., & Ip, T. (2016). Use of computer technology for English language learning: do learning styles, gender, and age matter?. Computer Assisted Language Learning, 29(5), 1035-1051.

Louhab, F. E., Bahnasse, A., & Talea, M. (2018). Towards an adaptive formative assessment in context-aware mobile learning. Procedia Computer Science, 135, 441-448.

Madyani, I., Yamtinah, S., & Utomo, S. B. (2019). Profile of Creative Thinking Skills on Junior High school Students in Science Learning by Gender. Scientiae Educatia: Jurnal Pendidikan Sains,8(2), 119-130.

Maulani, N. & Subali, B. (2019). Analisis Kemampuan Rekonstruksi Problem Solving Siswa Melalui Asesmen Higher Order Thinking (HOT) Siswa SMA. Unnes Physics Education Journal,8(3), 319-332.

Marković, S. (2015). Modeling of Adaptive System for Distance Learning with an Emphasis on Student Profile. Journal of Education Research,9(3).283-307.

McNeill, M., Gosper, M., & Xu, J. (2012). Assessment choices to target higher order learning outcomes: the power of academic empowerment. Research in learning Technology, 20, 283-296.

Mohammadi, I., Sayehmiri, K., Tavan, H., & Mohammadi, E. (2013). Learning Styles of Iranian Nursing Students Based On Kolb’s Theory: A Systematic Review and Meta-Analysis Study. Iranian Journal of Medical Education, 13(9), 741-752.

Omidvar, P., & Tan, B. H. (2012). Cultural Variations in Learning and Learning Styles. Turkish Online Journal of Distance Education, 13(4), 269-286.

Orhun, N. (2012). The Relationship between learning styles and achievement in calculus course for engineering students. Procedia-Social and Behavioral Sciences, 47,638-642.

Özyurt, Ö., ÖZyurt, H., & Baki, A. (2013). Design and development of an innovative individualized adaptive and intelligent e-learning system for teaching–learning of probability unit: Details of UZWEBMAT. Expert Systems with Applications, 40(8), 2914-2940.

Özyurt, Ö., Baki, A., Güven, B., & Karal, H. (2012). A fully personalized adaptive and intelligent educational hypermedia system for individual mathematics teaching-learning. Tem Journal, 1(4), 246-257.

Panahi, R., Kazemi, S., & Rezaei, A. (2012). The relationship of learning styles to academic achievement: the role of gender and academic discipline.Development Psychology (Journal of Iranian Psychologists), 8 (30), 189-196.

Palennari, M., Taiyeb, M., & Saenab, S. (2018). Profile of Students’ Metacognitive Skill Based on Their Learning Style. In Journal of Physics: Conference Serie, 1028(1), p.012030. IOP Publishing.

Qian, M., & Clark, K. R. (2016). Game-based Learning and 21st century skills: A review of recent research. Computers in Human Behavior, 63,50-58.

Rahayuningsih, S., & Jayanti, R. (2019). High Order Thinking Skills (HOTS) Students In Solving Group Problem Based Gender. Al-Jabar: Jurnal Pendidikan Matematika, 10(2), 243-250.

Rahmawati, S. Y. D., Ashadi, & Susilowati, E. (2018). Student’s Profile about Critical Thinking Ability on Hydrocarbon Compounds Concept. In AIP Conference Proceedings, (Vol. 2014, No. 1, pp. 020047). AIP Publishing.

Roa, M. L. (2013). Millennial students’ preferred learning style: Evaluation of collaborative learning versus traditional lecture methods. Nova Southeastern University.

Rustaman, N. Y. (2004). Asesmen Pendidikan IPA. Bandung: Nusa Media.

Sambell, K., Brown, S., & Race, P. (2019). Assessment to Support Student Learning: Eight Challenges for 21st Century Practice. AISHE-J: The All Ireland Journal of Teaching and Learning in Higher Education, 11(2).1-16

Saavedra, A. R., & Opfer, V. D. (2012). Learning 21st-century skills requires 21st-century teaching. Phi Delta Kappan, 94(2), 8-13.

Saul, C., & Wuttke, H. D. (2011). Personalized Assessment of Higher-order Thinking Skills. In CSEDU (2) (pp. 425-430).

Shirazi, F., & Heidari, S. (2019). The Relationship Between Critical Thinking Skills and Learning Styles and Academic Achievement of Nursing Students. The Journal of Nursing Research, 27(4),e38.

Siakas, E., & Economides, A. (2012). Adaptive learning: mapping personality types to learning styles. In 17th International Conference on Software Process Improvement-Research into Education and Training.

Spector, J. M., Ifenthaler, D., Sampson, D., Yang, J. L., Mukama, E., Warusavitarana, A., ... & Bridges, S. (2016). Technology enhanced formative assessment for 21st century learning.Journal of Educational Technology & Society, 19(3), 58-71.

Toplis, R. (2012). Students’ views about secondary school science lessons: The role of practical work. Research in Science Education, 42(3), 531-549.

Truong, H. M. (2016). Integrating learning styles and adaptive e-learning system: Current developments, problems and opportunities. Computers in human behavior, 55, 1185-1193.

Tulbure, C. (2012). Learning Styles, Teaching Strategies And Academic Achievement In Higher Education: A Cross-Sectional Investigation. Procedia-Social and Behavioral Sciences,33, 398-402.

Vizeshfar, F., & Torabizadeh, C. (2018). The effect of teaching based on dominant learning style on nursing students’ academic achievement. Nurse education in practice, 28, 103-108.

Wesonga, M. F., & Aurah, C. (2019). Influence Teacher’s Instructional Student’s Learning Syles on Academic Achievement in Kenyan High school Physics. European Journal of Education Studies, 6(8), 190-201.

Wulan, A. R., Isnaeni, A., & Solihat, R. (2018). Penggunaan Asesmen Elektronik Berbasis Edmodo Sebagai Assessment for Learning Keterampilan Abad 21. Indonesian Journal of Educational Assesment, 1(2), 1-10.

Yang, T. C., Hwang, G. J., & Yang, S. J. H. (2013). Development of an adaptive learning system with multiple perspectives based on students’ learning styles and cognitive styles. Journal of Educational Technology & Society, 16(4), 185-200.

Yee, M. H., Md Yunos, J., Hassan, R., Tee, T. K., Mohamad, M. M., & Othman, W. (2015). Disparity of learning styles and higher order thinking skills among technical students. Procedia-Social and Behavioral Sciences, 204, 143-152.

Yusuff, N. A. N., & Idris, I. (2018). Adolescents’ Interests and Aspirations in Science and Scientific Careers, Inquiry Learning and Science Identitiy. International Journal of Business & Management Study, 4 (2), 1-4

Zlatkinâ€Troitschanskaia, O., & Pant, H. A. (2016). Measurement advances and challenges in competency assessment in higher education. Journal of Educational Measurement, 53(3), 253-264.

Zulfiani, Z., Suwarna, I. P., & Miranto, S. (2018). Science Education Adaptive Learning System As A Computer-Based Science Learning With Learning Style Variations. Journal of Baltic Science Education, 7(4), 711-727.

Zulfiani, Z., & Suwarna, I. P. (2019). Pengaruh Science Adaptive Assessment Tool berbasis Gaya Belajar KOLB terhadap Keterampilan Berpikir Tingkat Tinggi. EDUSAINS, 11(2), 310-319.

Refbacks

  • There are currently no refbacks.