International Journal of Interactive Mobile Technologies (iJIM) – eISSN: 1865-7923 – Vol. 14, No. 6, 2020 Paper—Multimedia Learning Modules (MLMs) Based on Local Wisdom in Physics Learning to... Multimedia Learning Modules (MLMs) Based on Local Wisdom in Physics Learning to Improve Student Diagram Representations in Realizing the Nature of Science https://doi.org/10.3991/ijim.v14i06.11640 Warsono (), Puji Iman Nursuhud, Rio Sandhika Darma, Supahar, Danis Alif Oktavia, Ahdika Setiyadi, Mas Aji Kurniawan Universitas Negeri Yogyakarta, Yogyakarta, Indonesia warsono@uny.ac.id Abstract—This research was conducted to determine the feasibility of the instrument diagram representation test and the effectiveness of Multimedia Learning Modules (MLMs) integrated local wisdom in physics learning activities. The study design used a pretest-posttest control group design. The research instrument consisted of tests and non-tests. The test instrument was in the form of five items arranged according to the diagram representation indicators, namely drawing diagrams and their components and performing mathematical calculations according to the diagram explanation. The non-test instrument is a questionnaire study of test instruments. The validation of the test instrument was carried out using Aiken's V. The data analysis techniques used the General Linear Model (GLM) with a significance level of 0.05 to test the effectiveness of integrated local wisdom MLMs in improving student diagram representation. The results showed that the overall item items were declared valid with Aiken's V score in the range of 0.88 to 0.92 and the integrated local wisdom MLMs were effectively used in physics learning activities to improve student diagram representation based on Mean Difference (MD) values of - 54,449. Keywords—Diagrams, test instruments, local wisdom, multimedia learning modules, representations 1 Introduction Physics learning in 21st century is very closely related to technological development. Rapidly developing technology makes learning activities more dynamic. Learning activities that require representation ability can be integrated with technologies such as interactive multimedia. The application of interactive multimedia has a positive impact as a support for learning to improve students' understanding of concepts [1]. Agreeing with this, interactive multimedia can also be used to improve problem-solving abilities [2]. In addition, the involvement of multimedia in learning 148 http://www.i-jim.org https://doi.org/10.3991/ijim.v14i06.11640%0d mailto:warsono@uny.ac.id Paper—Multimedia Learning Modules (MLMs) Based on Local Wisdom in Physics Learning to... activities can also improve learning achievement, positive attitudes and student motivation compared to conventional learning [3][4]. This indicates that the development of learning is in harmony with the development of technology so that media is needed that can be used to facilitate the delivery of material concepts. Multimedia Learning Modules (MLMs) are introductory media that aim to motivate students to actively participate and be able to prepare and have preliminary knowledge before learning activities begin [5][6][7]. MLMs are made in the form of multimedia presentations in the form of graphic, text, video, narrative, animation and audio features that are realized with various forms of representation [3][4][7][8][9]. Various forms of representation provided a positive impact in the form of wealth of information from the use of MLMs so as to make learning activities more effective, increase students' understanding and motivation and students can obtain meaningful information and levels of understanding increase if they can link existing representations [3][10][11][12]. MLMs are used as a learning tool to reduce the limitations of the use of less effective textbooks where students only read books without taking more important information [7][13][14][15]. Indonesian Minister of Education and Culture Regulation No. 22 of 2016 concerning the standard process states that learning at primary and secondary levels must be held interactively, inspiratively, fun and can motivate students to actively participate in learning according to their interests and talents. But in reality, the teacher does not understand these aspects so physics tends to be learning that is abstract, difficult to understand and does not motivate students [16]. Learning that is abstract and difficult to understand can lead to negative perceptions related to the learning material. Students' negative perceptions of physics learning come from several factors such as teachers, peers and family, the community environment, and several other internal and external factors [17]. These factors influence the formation of character, attitudes, thought patterns and behavior of students in the development of perception and knowledge into a form of learning experience. This statement agrees with the results of the research by [18] which shows a positive relationship between students' perceptions of physics learning activities. Therefore, physics learning can be carried out well if students have positive perceptions that are able to encourage interactive, inspirational and challenging learning so that it is easier to understand. Good learning suggests linking the concept of learning with the phenomena of everyday life so that the process of knowledge transfer becomes more meaningful. Meaningful learning can be realized by integrating local wisdom in its implementation [19]. The application of local wisdom to learning activities can make learning conditions more enjoyable. This makes students able to feel their experiences in daily life closer to learning [20]. In addition, learning activities by applying local wisdom also have a positive influence on the character of students and are able to improve academic achievement [21]. Positive influences related to increasing student academic achievement in the abstract and difficult to understand physics learning process can be realized by implementing appropriate problem solving strategies. The process of finding a solution to a problem depends on the solution strategy applied [22]. One strategy that iJIM ‒ Vol. 14, No. 6, 2020 149 Paper—Multimedia Learning Modules (MLMs) Based on Local Wisdom in Physics Learning to... can be used in solving problems (problem solving) is to use representation [23]. Representation can be used to solve physics problems [24]. A similar sentiment was also conveyed by Kurnaz and Arslan who explained that the use of representations during physics learning activities can make the learning process more meaningful and enhance students' understanding of concepts [25]. Diagrams are a form of representation that is often used to solve physics problems. The use of diagrams is very important to explain and understand phenomena from various kinds of multidisciplinary science [26]. Physics is learning about natural phenomena which are divided into several parts including kinematics and dynamics [23]. Some physical concepts related to kinematics and dynamics include force, motion, momentum and energy [23]. These materials must be understood and mastered by students because they relate in everyday life. But in reality, students still have difficulty understanding material related to the concepts of kinematics and dynamics. This is because these materials use diagrams as a means of representation in their learning [27]. The results of research show that some students still have difficulty in drawing free diagrams [28][29]. Diagrams as a form of representation help students interpret, represent and implement problem solving strategies to solve problems (problem solving) they face [30]. The representation of diagrams known in physics learning includes free-body diagrams, field line diagrams, energy bar charts [31] and among others. The advantages of using diagrams as representations are: 1. Diagrams help to explain scientific phenomena that occur easily 2. Diagrams provide a means to analyze and understand scientific phenomena 3. The diagram can be used as a means to identify cognitive abilities [32] In addition, several advantages of using diagrams as representations such as: 1. Diagrams showing scientific cases explicitly 2. Diagrams act as bridging representations between real (concrete) and abstract situations 3. Diagrams help to foster intuition [33] This study aims to test the feasibility of the instrument test the ability to represent diagrams and the effectiveness of Multimedia Learning Modules (MLMs) integrated local wisdom in physics learning activities. 2 Research Methods This research uses a quantitative approach with a pretest-posttest control group design. Field testing was conducted to draw conclusions related to the implementation of Multimedia Learning Modules (MLMs) in physics learning to improve student diagram representation. Field testing was carried out on three classes of Natural Sciences in SMA 2 Batang chosen randomly using the cluster random sampling technique. Table 1 shows the research design used. 150 http://www.i-jim.org Paper—Multimedia Learning Modules (MLMs) Based on Local Wisdom in Physics Learning to... Table 1. Research Design Group Pretest Treatment Postest Y1 Y2 Y1 Y2 Experiment T1 T1 X1 T2 T2 Contrast 1 T1 T1 X2 T2 T2 Contrast 2 T1 T1 X3 T2 T2 Information T1 : Pretest T2 : Postest Y1 : Diagrammatic representation Y2 : Vector Representation X1 : Using Multimedia Learning Modules (MLMs) integrated local wisdom X2 : Using the integrated local wisdom print module X3 : Use common modules used by the teacher The research instrument was in the form of a cognitive ability test consisting of five items arranged according to indicators. Table 2 shows the item grids based on the diagram representation indicators. The test instrument was validated using Aiken’s V based on the number of assessors (rater) and the rating scale used. The test instrument is declared valid if it has a coefficient value of Aiken's V of V ≥ 0.75 with a number of rater 8 people and a rating scale ranging from 1 to 4 [34]. Table 2. Diagram Representation Capability Test Chart Grid Indicator of Diagram Representation Problem Indicator Item Number Bloom's Taxonomic Aspects Draw a diagram with its components Draw a free diagram of the forces acting on a traditional rowing boat that has zero momentum 1 C3 Depicts the motion diagram of a traditional rowing boat 3 C3 Draw a contact force diagram between water and rowing in a traditional rowing competition 2 C3 Perform mathematical calculations according to the diagram explanation Determine the impulsive force based on the concept of the relationship of momentum and impulse 4 C3 Determine the speed of the boat after the impact based on the law of conservation of momentum 5 C3 (Adapted from [35][36]) Data analysis techniques in the study used the General Linear Model (GLM) to infer an increase in students' diagram representation abilities. Improvement of students' diagram representation skills is seen based on the analysis of the pretest and posttest scores by comparing the value of the Mean Difference results of the output of the General Linear Model (GLM) mixed design [37]. iJIM ‒ Vol. 14, No. 6, 2020 151 Paper—Multimedia Learning Modules (MLMs) Based on Local Wisdom in Physics Learning to... 3 Result and Discussion 3.1 Feasibility analysis instrument representation test diagram The feasibility analysis of the diagram representation test instrument uses Aiken's V. The results of the Aiken V analysis show that the diagram representation test instrument is in the valid category. Table 3 shows the results of the analysis of the instrument assessment test representation diagram. Figure 1 shows the instrument of diagrammatic ability test used in this research. Fig. 1. The Instrument of Diagrammatic Representation Ability used in Research Table 3. Assessment Instrument Representation Test Diagram Representation Item Question Aiken’s V score Criteria Diagram 2,5 0,88 Valid 1,3,4 0,92 Valid The assessment of the instrument diagram representation test obtained Aiken's V score in the range of 0.88 to 0.92 which is in the valid criteria. This is in accordance with the validation criteria according to Aiken’s V which states that for 8 validators and a rating scale ranging from 1 to 4, items are declared valid if obtaining an Aiken’s V score ≥ 0.75 [34]. 152 http://www.i-jim.org Paper—Multimedia Learning Modules (MLMs) Based on Local Wisdom in Physics Learning to... 3.2 Analysis of improvement of student diagram representation Data analysis to test the increase in student diagram representation is to use the General Linear Model (GLM). The analysis was carried out based on the students' pretest and posttest scores in doing diagram representation tests by interpreting Mean Difference (MD) and significance (Sig.) outputs on pairwise comparisons output. The results of the analysis are presented in Table 4. Table 4. Pairwise Comparisons of Diagrammatic Representation Group Time (I) Time (J) Mean Difference (I-J) Sig. MLMs integrated local wisdom Pretes Postes -54.449 .000 Integrated local wisdom print module Pretes Postes -15.221 .000 General modules used by the teacher Pretes Postes -13.110 .000 Table 4 shows the GLM output associated with increasing student diagram representation. Conclusions are based on significance (Sig.). Ho is rejected and Ha is accepted if the Sig value < 0.05. Table 4 in the significance column (Sig.) obtained a value of .000 which proves that Ho was rejected and Ha was accepted, meaning that there was a significant increase in the representation of student diagrams in the MLMs class integrated with local wisdom compared to the printed class module in local wisdom and the general modules used by the teacher. Significant improvement is evidenced from the Mean Difference value of -54,449 for the integrated local wisdom class MLMs, -15,221 for the integrated local wisdom module print class and -13,110 for the general module class used by the teacher. The Mean Difference value is used to show how much an increase in the student diagram representation. Mean difference (MD) is obtained from the reduction of the mean pretest score against the posttest score. The increasingly negative MD scores in Table 4 prove that there is a significant increase in the representation of student diagrams based on pretest and posttest scores. The pairwise comparisons output results in Table 4 prove that the MLMs class integrated with local wisdom gives a better score improvement than the printed class integrated local wisdom module and the general module used by the teacher to obtain an MD of -54,449 [37]. MD which has negative value proves that there is an increase in score from pretest to posttest [38]. Improvement of students’ diagram representation ability is determined based on the analysis of the pretest and posttest scores displayed by the Estimated Marginal Means plot graph. The plot of increasing student diagram representation is presented in Figure 2. Figure 2 shows that the use of integrated local wisdom MLMs is able to increase student diagram representation. This is in agreement with the research which states that learning by applying MLMs can improve the ability of representation better than traditional learning [6]. In addition, meaningful learning can be realized by integrating local wisdom so that it can improve student academic achievement [19][20][21]. The intersection of lines between MLMs integrated local wisdom classes with print classes integrated local wisdom modules and the general modules used by the teacher in Figure 2 shows the interaction between MLMs integrated local iJIM ‒ Vol. 14, No. 6, 2020 153 Paper—Multimedia Learning Modules (MLMs) Based on Local Wisdom in Physics Learning to... wisdom classes, print modules integrated with local wisdom, and general modules used by teachers. This shows the influence generated between classes. The causes of the interaction include a number of students in the printed module integrated with local wisdom or the general module used by the teacher asking the experimental class students about the learning material. The effectiveness of MLMs in this study is in accordance with the results of other research which state that MLMs are a solution in overcoming the use of print media that are less effective [7][38]. Fig. 2. Estimation Chart for Increased Student Diagram Representation 4 Conclusion and Future Work In this study, the implementation of the influence of Multimedia Learning Modules (MLMs) integrated local wisdom on physics learning has been carried out to improve the representation ability of student diagrams. The results showed that Multimedia Learning Modules (MLMs) integrated with local wisdom can improve students’ diagram representation abilities. Improved student diagram representation ability is obtained based on the analysis of pretest and posttest scores after using Multimedia Learning Modules (MLMs) in physics learning with General Linear Model (GLM) techniques. Analysis technique using GLM proves that the MLMs class integrated with local wisdom gives improved scores better than the paddle race module class and the general teacher module by obtaining a Mean Difference (MD) score of -54,449. This value proves a significant increase related to student diagram representation. 154 http://www.i-jim.org Paper—Multimedia Learning Modules (MLMs) Based on Local Wisdom in Physics Learning to... Suggestions for further research can be to develop multimedia learning modules based on local wisdom of other regions in Indonesia to improve the ability of physics representation and high-level thinking of students. In addition, it can be integrated with evaluation questions to measure students' high-level representation and thinking skills. 5 Acknowledgement Thank you to the Directorate of Research and Community Service of the Ministry of Research and Higher Education, Indonesia for assisting in funding this research. 6 References [1] Andarini, H. D., Swasty, W., Hidayat, D., & Media, A. L. (2016). Designing the interactive multimedia learning for elementary students grade 1 st -3 rd a case of plants ( Natural Science Subject ). Fourth International Conference on Information and Communication Technologies, 4(c), 1–5. https://doi.org/10.1109/icoict.2016.7571873 [2] Ramganesh, E. (2012). Effect of self-regulatory strategies with interactive multimedia on problem solving ability of higher secondary students in physics. Shodh Sanchayan, 3(2), 1–5. [3] Leow, M. F., & Neo, M. (2014). Interactive multimedia learning: innovating classroom education in a Malaysian University, The Turkish Online Journal of Educational Technology, 13(2), 99–110. [4] Li, Y. W. (2014). Transforming Conventional Teaching Classroom to Learner-Centred Teaching Classroom Using Multimedia-Mediated Learning Module. International Journal of Information and Education Technology, 6(2), 105–112. https://doi.org/10.7763/ijiet.20 16.v6.667 [5] Chen, Z., Stelzer, T., & Gladding, G. (2010). Using multimedia modules to better prepare students for introductory physics lecture. Physical Review Special Topics - Physics Education Research, 6(1), 1–5. https://doi.org/10.1103/PhysRevSTPER.6.010108 [6] Hill, M., Sharma, M. D., & Johnston, H. (2015). How online learning modules can improve the representational fluency and conceptual understanding of university physics students. European Journal of Physics, 36(4), 45019. https://doi.org/10.1088/0143-0807/3 6/4/045019 [7] Sadaghiani, H. R. (2012). Controlled study on the effectiveness of multimedia learning modules for teaching mechanics. Physical Review Special Topics - Physics Education Research, 8(1), 1–7. https://doi.org/10.1103/PhysRevSTPER.8.010103 [8] Hazra, A. K., Patnaik, P., & Suar, D. (2013). Relation of modal preference with performance in adaptive hypermedia context: An exploration using visual, verbal and multimedia learning modules. Proceedings - 2013 IEEE 5th International Conference on Technology for Education, T4E 2013, 163–166. https://doi.org/10.1109/T4E.2013.47 [9] Sadaghiani, H. R. (2011). Using multimedia learning modules in a hybrid-online course in electricity and magnetism. Physical Review Special Topics - Physics Education Research, 7(1), 1–7. https://doi.org/10.1103/PhysRevSTPER.7.010102 iJIM ‒ Vol. 14, No. 6, 2020 155 https://doi.org/10.1109/icoict.2016.7571873 https://doi.org/10.7763/ijiet.2016.v6.667 https://doi.org/10.7763/ijiet.2016.v6.667 https://doi.org/10.1103/PhysRevSTPER.6.010108 https://doi.org/10.1088/0143-0807/36/4/045019 https://doi.org/10.1088/0143-0807/36/4/045019 https://doi.org/10.1103/PhysRevSTPER.8.010103 https://doi.org/10.1109/T4E.2013.47 https://doi.org/10.1103/PhysRevSTPER.7.010102 Paper—Multimedia Learning Modules (MLMs) Based on Local Wisdom in Physics Learning to... [10] Lee, T. T., & Osman, K. (2012). Interactive multimedia module in the learning of electrochemistry: effects on students’ understanding and motivation. Procedia - Social and Behavioral Sciences, 46, 1323–1327. https://doi.org/10.1016/j.sbspro.2012.05.295 [11] Li, Y. W., Mai, N., & Tse-Kian, N. (2014). Impact of learner-centred teaching environment with the use of multimedia-mediated learning modules in improving learning experience. Jurnal Teknologi (Sciences and Engineering), 68(2), 65–71. https://doi.org/10. 11113/jt.v68.2911 [12] Mayer, E.R. (2016). Multimedia learning (2nd ed). New York: Cambridge University Press. [13] Nursuhud, P. I., Oktavia, D. A., Kurniawan, M. A., & Wilujeng, I. (2019). Multimedia Learning Modules Development based on Android Assisted in Light Diffraction Concept. Journal of Physics: Conference Series. https://doi.org/10.1088/1742-6596/1233/1/012056 [14] Oktavia, D. A., Nursuhud, P. I., Kurniawan, M. A., Jumadi, Wilujeng, I., & Kuswanto, H. (2019). Application of Multimedia Learning Modules assisted by “Tracker” Virtual Laboratory to Train Verbal Representation of Class XI High School Students. Journal of Physics: Conference Series, 1233, 012055. https://doi.org/10.1088/1742-6596/1233/1/012 055 [15] Stelzer, T., Gladding, G., Mestre, J., & Brookes, D. T. (2008). Comparing the efficacy of multimedia modules with traditional textbooks for learning introductory physics content. American Journal of Physics, 184(2009), 184-190. https://doi.org/10.1119/1.3028204 [16] Arief, M. K., Handayani, L., & Dwijananti, P. (2012). Identifikasi kesulitan belajar fisika pada siswa RSBI: studi kasus di RSMABI se kota Semarang. Unnes Physics Education Journal, 1(2), 5-10. Retrieved from http://journal.unnes.ac.id/sju/index.php/upej [17] Checkley, D. (2010). High school students’ perception of physics, (February). Tesis, tidak diterbitkan, University of Lethbridge, Alberta. [18] Yoon, S. Y., Suh, J. K., & Park, S. (2014). Korean students perceptions of scientific practices and understanding of nature of science. International Journal of Science Education, 36(16), 2666-2693. https://doi.org/10.1080/09500693.2014.928834 [19] Prasetyo, Z. K. (2013). Pembelajaran sains berbasis kearifan lokal. Makalah disajikan dalam Seminar Nasional Fisika dan Pendidikan Fisika, di Universitas Sebelas Maret. https://doi.org/10.25273/jems.v2i1.172 [20] Dewi, I. N., Poedjiastoeti, S., Prahani, K., & Sri Poedjiastoeti. (2017). Elsii learning model based local wisdom to improve students’ problem solving skills and scientific communication. International Journal of Education and Research, 5(1), 107–118. https:// doi.org/10.1088/1742-6596/1157/2/022014 [21] Subali, B., Sopyan, A., & Ellianawati, E. (2015). Developing local wisdom based science learning design to establish positive character in elementary school. Jurnal Pendidikan Fisika Indonesia, 11(1), 1–7. https://doi.org/10.15294/jpfi.v11i1.3998 [22] Schoenfeld, A. H. (2013). Reflections on problem solving theory and practice reflections on problem solving theory and practice. The Mathematics Enthusiast, 10(1), 9-34. [23] Docktor, J. L., & Mestre, J. P. (2014). Synthesis of discipline-based education research in physics. Physical Review Special Topics - Physics Education Research, 10(2), 1–58. https ://doi.org/10.1103/PhysRevSTPER.10.020119 [24] De Cock, M. (2012). Representation use and strategy choice in physics problem solving. Physical Review Special Topics - Physics Education Research, 8(2), 1–15. https://doi.org/ 10.1103/PhysRevSTPER.8.020117 [25] Kurnaz, M. A., & Arslan, Ğ. L. A. M. (2014). Effectiveness of multiple representations for learning energy concepts : Case of Turkey, Procedia - Social and Behavioral Sciences, 116, 627–632. https://doi.org/10.1016/j.sbspro.2014.01.269 156 http://www.i-jim.org https://doi.org/10.1016/j.sbspro.2012.05.295 https://doi.org/10.11113/jt.v68.2911 https://doi.org/10.11113/jt.v68.2911 https://doi.org/10.1088/1742-6596/1233/1/012056 https://doi.org/10.1088/1742-6596/1233/1/012055 https://doi.org/10.1088/1742-6596/1233/1/012055 https://doi.org/10.1119/1.3028204 http://journal.unnes.ac.id/sju/index.php/upej https://doi.org/10.1080/09500693.2014.928834 https://doi.org/10.25273/jems.v2i1.172 https://doi.org/10.1088/1742-6596/1157/2/022014 https://doi.org/10.1088/1742-6596/1157/2/022014 https://doi.org/10.15294/jpfi.v11i1.3998 https://doi.org/10.1103/PhysRevSTPER.10.020119 https://doi.org/10.1103/PhysRevSTPER.10.020119 https://doi.org/10.1103/PhysRevSTPER.8.020117 https://doi.org/10.1103/PhysRevSTPER.8.020117 https://doi.org/10.1016/j.sbspro.2014.01.269 Paper—Multimedia Learning Modules (MLMs) Based on Local Wisdom in Physics Learning to... [26] Purchase, H. C. (2014). Journal of Visual Languages and Computing Twelve years of diagrams research. Journal of Visual Language and Computing, 25(2), 57–75. https://doi. org/10.1016/j.jvlc.2013.11.004 [27] Manalo, E., Uesaka, Y., Pérez-kriz, S., & Fukaya, T. (2013). Science and engineering students ’ use of diagrams during note taking versus explanation, Educational Studies, 39(1), 37–41. https://doi.org/10.1080/03055698.2012.680577 [28] Nieminen, P., & Viiri, J. (2013). Does using a visual-representation tool foster students ’ ability to identify forces and construct free-body diagrams, Physical Review Special Topics - Physics Education Research, 010104, 1–11. https://doi.org/10.1103/PhysRevSTP ER.9.010104 [29] Ardi, F. L. (2017). Pengembangan perangkat pembelajaran fisika berbasis kearifan lokal (andong) berbantuan android untuk meningkatkan kemampuan representasi diagram dan representasi vektor. Tesis, tidak diterbitkan, Universitas Negeri Yogyakarta, Yogyakarta. https://doi.org/10.25157/.v1i2.545 [30] Chu, J., Rittle-Johnson, B., & Fyfe, E. R. (2017). Diagrams benefit symbolic problem- solving. British Journal of Educational Psychology, 87(2), 273–287. https://doi.org/10.11 11/bjep.12149 [31] Docktor, J. L., Strand, N. E., Mestre, J. P., & Ross, B. H. (2015). Conceptual problem solving in high school physics. Physical Review Special Topics - Physics Education Research, 11(2), 1–13. https://doi.org/10.1103/PhysRevSTPER.11.020106 [32] Sheredos, B., Burnston, D., Abrahamsen, A., & Bechtel, W. (2014). Why do biologists use so many diagrams. Philosophy of Science, 80(5), 931–944. https://doi.org/10.1086/674047 [33] Savinainen, A., Mäkynen, A., Nieminen, P., & Viiri, J. (2013). Does using a visual- representation tool foster students’ ability to identify forces and construct free-body diagrams. Physical Review Special Topics - Physics Education Research, 9(1), 1–11. https://doi.org/10.1103/PhysRevSTPER.9.010104 [34] Aiken, L. R. (1985). Three coeffiecient for analyzing the reliability and validity of ratings. Educational and Phychological Measurement, 45, 131–142. https://doi.org/10.1177/0013 164485451012 [35] Samkoff, A., Lai, Y., & Weber, K. (2016). Research in Mathematics Education On the different ways that mathematicians use diagrams in proof construction. Research in Mathematics Education, 14(1), 49-67. https://doi.org/10.1080/14794802.2012.657438 [36] Savinainen, A., Mäkynen, A., Nieminen, P., & Viiri, J. (2017). The effect of using a visual representation tool in a teaching-learning sequence for teaching Newton’s Third Law. Research in Science Education, 47(1), 119–135. https://doi.org/10.1007/s11165-015-9492- 8 [37] Widhiarso, W. (2011). Aplikasi anava campuran untuk desain eksperimen pre-posttest design. Yogyakarta: Fakultas Psikologi UGM. [38] Moore, J. C. (2014). Efficacy of multimedia learning modules as preparation for lecture- based tutorials in electromagnetism. Education Sciences, 8(23), 1-14. https://doi.org/10.33 90/educsci8010023 7 Authors Warsono is a lecturer in the postgraduate program in physics education at Yogyakarta State University. The undergraduate education program was completed at Yogyakarta State University. Masters and doctoral programs are completed at Gadjah iJIM ‒ Vol. 14, No. 6, 2020 157 https://doi.org/10.1016/j.jvlc.2013.11.004 https://doi.org/10.1016/j.jvlc.2013.11.004 https://doi.org/10.1080/03055698.2012.680577 https://doi.org/10.1103/PhysRevSTPER.9.010104 https://doi.org/10.1103/PhysRevSTPER.9.010104 https://doi.org/10.25157/.v1i2.545 https://doi.org/10.1111/bjep.12149 https://doi.org/10.1111/bjep.12149 https://doi.org/10.1103/PhysRevSTPER.11.020106 https://doi.org/10.1103/PhysRevSTPER.9.010104 https://doi.org/10.1177/0013164485451012 https://doi.org/10.1177/0013164485451012 https://doi.org/10.1080/14794802.2012.657438 https://doi.org/10.1007/s11165-015-9492-8 https://doi.org/10.1007/s11165-015-9492-8 https://doi.org/10.3390/educsci8010023 https://doi.org/10.3390/educsci8010023 Paper—Multimedia Learning Modules (MLMs) Based on Local Wisdom in Physics Learning to... Mada University. Research carried out related to physics education, learning evaluation, mobile learning (Email: warsono@uny.ac.id). Puji Iman Nursuhud is a graduate student in a physics education program at Yogyakarta State University. Undergraduate education was completed at Semarang State University. Research carried out related to physics education, learning evaluation, mobile learning (Email: nursuhudofficial@gmail.com). Rio Sandhika Darma is a graduate student in physics education at Yogyakarta State University. The undergraduate education program was completed at Mulawarman University. Research conducted related to physics education, learning evaluation, mobile learning (Email: riodarma58.2017@student.uny.ac.id). Supahar is a lecturer in the postgraduate program in physics education at Yogyakarta State University. The undergraduate education program was completed at Yogyakarta State University. The master's program is completed at the Bandung Institute of Technology and the doctoral program is completed at Yogyakarta State University. Research conducted related to physics education, evaluation and learning assessment, mobile learning (Email: supahar@uny.ac.id). Danis Alif Oktavia is a graduate student in physics education at Yogyakarta State University. Undergraduate education was completed at Semarang State University. Research conducted related to physics education, evaluation of learning, mobile learning (Email: danisalifoktavia.2017@student.uny.ac.id). Ahdika Setiyadi is a graduate student in the physics education program at Yogyakarta State University. The undergraduate education program was completed at Yogyakarta State University. Research conducted related to physics education, learning evaluation, mobile learning (Email: adika.setiyadi.2017@student.uny.ac.id). Mas Aji Kurniawan is a graduate student in the physics education program at Yogyakarta State University. Undergraduate education was completed at Yogyakarta State University. Research conducted related to physics education, learning evaluation, mobile learning (Email: kurniawan.masaji.2017@student.uny.ac.id). Article submitted 2019-09-08. Resubmitted 2019-12-23. Final acceptance 2019-12-23. Final version published as submitted by the authors. 158 http://www.i-jim.org mailto:warsono@uny.ac.id mailto:nursuhudofficial@gmail.com mailto:riodarma58.2017@student.uny.ac.id mailto:supahar@uny.ac.id mailto:danisalifoktavia.2017@student.uny.ac.id mailto:adika.setiyadi.2017@student.uny.ac.id mailto:kurniawan.masaji.2017@student.uny.ac.id