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Pertanika Journal of Science & Technology, Volume J, Issue J, January J

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  • Adams, R. J. (2005). Reliability as a measurement design effect. Studies in Educational Evaluation, 31(2-3), 162-172. https://doi.org/10.1016/j.stueduc.2005.05.008

  • Adams, R. J., & Khoo, S. T. (1996). ACER Quest: the interactive test analysis system (Version 2.10) [Computer software]. Australian Council for Educational Research. https://research.acer.edu.au/measurement/3/

  • Adams, R. J., Wilson, M., & Wang, W. (1997). The multidimensional random coefficient multinomial logit model. Applied Psychological Measurement, 21, 1-23. https://doi.org/10.1177/0146621697211001

  • Adom, D., Mensah, J. A., & Dakes, D. A. (2020). Test, measurement, and evaluation: Understanding and use of the concepts in education. International Journal of Evaluation and Research in Education (IJERE), 9(1), 109-119. https://doi.org/10.11591/ijere.v9i1.20457

  • Briggs, J. B., & Collis, K. F. (1982). Evaluating the quality of learning: The SOLO taxonomy. Academic Press. https://doi.org/10.1016/C2013-0-10375-3

  • Buakhamphu, S., Thawinkarn, D., Vatanasapt, P., Tang, K. N. (2024). Development of digital culture model for small size schools in the northeast region of Thailand. Kurdish Studies, 12(2), 724-732. https://doi.org/10.58262/ks.v12i2.056

  • Clark-Wilson, A., Robutti, O., & Thomas, M. (2020). Teaching with digital technology. ZDM –International Journal of Mathematics Education, 52, 1223-1242. https://doi.org/10.1007/s11858-020-01196-0

  • Michael, D. G., & Ritzelda, D. A. (2021). Improving the least mastered competencies on number sense of Grade 7 learners. International Journal of Advanced Research, 10(10), 127-139. https://doi.org/10.21474/IJAR01/15471

  • Fowler, S., O’Keeffe, L., Cutting, C., & Leonard, S. (2019). The mathematics proficiencies: A doorway into spatial thinking. Annals of Punjab Medical College (APMC), 24(1), 36-40.

  • Harman, M. (2021, May 8). The role of digital learning platforms in the academic growth of students. Kitaboo. https://kitaboo.com/the-role-of-digital-learning-platforms-in-the-academic-growth-of-students/

  • Hayes, A. (2024, February 23). Stratified random sampling. Investopedia. https://www.investopedia.com/terms/stratified_random_sampling.asp

  • International Commission on the Futures of Education. (2020). Education in a post-COVID world: Nine ideas for public action. United Nations Educational, Scientific and Cultural Organization. https://unesdoc.unesco.org/ark:/48223/pf0000373717

  • Inprasitha, M. (2022). Lesson study and open approach development in Thailand: A longitudinal study. International Journal for Lesson and Learning Studies, 11(5) 1-15. https://doi.org/10.1108/IJLLS-04-2021-0029

  • Inprasitha, M. (2023). Blended learning classroom model: A new extended teaching approach for new normal. International Journal for Lesson and Learning Studies, 12(4), 288-300. https://doi.org/10.1108/IJLLS-01-2023-0011

  • Junpeng, P., Inprasitha, M., & Wilson, M. (2018). Modeling of the open-ended items for assessing multiple proficiencies in mathematical problem solving. The Turkish Online Journal of Educational Technology, 2, 142-149.

  • Junpeng, P., Krotha, J., Chanayota, K., Tang, K. N., & Wilson, M. (2019). Constructing progress maps of digital technology for diagnosing mathematical proficiency. Journal of Education and Learning, 8(6), 90−102. https://doi.org/10.5539/jel.v8n6p90

  • Kanjanawasi, S. (2011). New theory of testing (3rd ed.). Chulalongkorn University Press. https://www.car.chula.ac.th/display7.php?bib=b1770973

  • Kantahan, S., Junpeng, P., Punturat, S., Tang, K. N., Gochyyev, P., & Wilson, M. (2020). Designing and verifying a tool for diagnosing scientific misconceptions in genetics topic. International Journal of Evaluation and Research in Education (IJERE), 9(3), 564-571. https://doi.org/10.11591/ijere.v9i3.20544

  • Kepner, H. S., & Huinker, D. A. (2012). Assessing students’ mathematical proficiencies on the common core. Journal of Mathematics Education at Teacher College, 3(1), 26-32. https://doi.org/10.7916/jmetc.v3i1.735

  • Kesorn, K., Junpeng, P., Marwiang, M., Pongboriboon, K., Tang, K. N., Bathia, S., & Wilson, M. (2020). Development of an assessment tool for mathematical reading, analytical thinking and mathematical writing. International Journal of Evaluation and Research in Education (IJERE), 9(4), 955-962. https://doi.org/10.11591/ijere.v9i4.20505

  • Kilpatrick, J., Swafford, J., & Findell, B. (2001). Adding it up: Helping children learn mathematics. National Academy Press. https://doi.org/10.17226/9822

  • Linacre, J. M. (2005). Rasch dichotomous model vs. one-parameter logistic model. Rasch Measurement Transactions, 19(3), Article 1032.

  • Lunz, M. E. (2010). Measurement research associates test insights. https://www.rasch.org/mra/mra-01-10.htm

  • Maisa, S. D., & Musthfa, B. (2021). Charging personal growth of preservice teachers with 21st century career and life skill during the COVID-19 pandemic and new era. The Asian ESP Journal, 17(7.2), 60-82.

  • Maoto, S., Masha, K., & Mokwana, L. (2018). Teachers’ learning and assessing of mathematical processes with emphasis on representations, reasoning and proof. Pythagoras – Journal of the Association for Mathematics Education of South Africa, 39(1), 1−10. https://doi.org/10.4102/pythagoras.v39i1.373

  • Manmai, T., Inprasitha, M., & Changsri, N. (2021). Cognitive aspects of students’ mathematical reasoning habits: A study on utilizing lesson study and open approach. Pertanika Journal of Social Sciences & Humanities, 29(4), 2591-2614. https://doi.org/10.47836/pjssh.29.4.27

  • Milgram, R. J. (2007). What is mathematical proficiency? In A. H. Schoenfeld (Ed.), Assessing mathematical proficiency (pp. 31-58). Cambridge University Press. https://doi.org/10.1017/CBO9780511755378.007

  • Phaniew, S., Junpeng, P., & Tang, K. N. (2021). Designing standards-setting for levels of mathematical proficiency in measurement and geometry: Multidimensional item response model. Journal of Education and Learning, 10(6), 103-111. https://doi.org/10.5539/jel.v10n6p103

  • Rasch, G. (1960). Probabilistic models for some intelligence and attainment tests. University of Chicago Press. https://archive.org/details/probabilisticmod0000rasc

  • Seo, K., Tang, J., Roll, I., Fels, S., & Yoon, D. (2021). The impact of artificial intelligence on learner-instructor interaction in online learning. International Journal of Educational Technology in Higher Education, 18, Article 54. https://doi.org/10.1186/s41239-021-00292-9

  • Thailand Ministry of Education. (2008). The basic education core curriculum. http://academic.obec.go.th/images/document/1525235513_d_1.pdf

  • Thailand Ministry of Education. (2017). Learning standards and indicators learning of mathematics (revised edition) according to the Core Curriculum of Basic Education, 2008. Agricultural Cooperative of Thailand. https://drive.google.com/file/d/1MDQEDkqGs01PnyzqEnyTVVNTS776ObCz/view

  • Thisopha, P., Thawinkarn, D., Wachrakul, C., & Tang K. N. (2023). An investigation on coding educational management for small-sized elementary schools in northeastern of Thailand. Remittances Review, 8(4), 3057-3071. https://doi.org/10.33182/rr.v8i4.211

  • Vongvanich, S. (2020). Design research in education. Chulalongkorn University Printing House. https://www.chulabook.com/education/102930

  • Wilson, M. (2005). Constructing measures: An item response modeling approach. Routledge. https://doi.org/10.4324/9781410611697

  • Wilson, M., Allen, D. D., & Li, J. C. (2006). Improving measurement in health education and health behavioral research using item response modeling: Comparison with the Classical Test Theory Approach. Health Education Research, 21, 19-32. https://doi.org/10.1093/her/cyl108

  • Wilson, M., & De Boeck, P. (Eds.). (2004). Descriptive and explanatory item response models. Explanatory item models: A generalized linear and nonlinear (pp. 43-41). Springer. https://link.springer.com/book/10.1007/978-1-4757-3990-9

  • Wilson, M., & Sloane, K. (2000). From principles to practice: An embedded assessment system. Applied Measurement in Education, 13(2), 181-208. https://doi.org/10.1207/S15324818AME1302_4

  • Wright, B. D., & Stone, M. H. (1979). Best test design: Rasch measurement. Mesa Press. https://research.acer.edu.au/measurement/1/

  • Wu, M. L., Adams, R. J., Wilson, M. R., & Haldane, S. A. (2007). ACERConQuest Version 2: Generalized item response modeling software. Australian Council for Educational Research. https://www.researchgate.net/publication/262187496_ConQuest_Version_2_Generalised_Item_Response_Modelling_Software

  • Yao, L., & Schwarz, R. D. (2006). A multidimensional partial credit model with associated item and test statistics: An application to mixed-format tests. Applied Psychological Measurement, 30(6), 469-492. https://doi.org/10.1177/0146621605284537

  • Yulian, V. R., & Wahyudin. (2018). Analyzing categories of mathematical proficiency based on Kilpatrick opinion in junior high school. Journal of Physics: Conference Series, 1132, Article 012052. https://doi.org/10.1088/1742-6596/1132/1/012052

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