Development of an instrument measuring the multi representation ability of senior high school students

Adawiyah, Rabiatul; Istiyono, Edi; Wilujeng, Insih; Hardiyanti, Siti

doi:10.1088/1742-6596/1440/1/012028

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…They are comprised of performance tests and diagnostic tests. Performance tests are designed to measure diverse forms of students' performance on physics learning, including cognitive test [97], higher order thinking skills (HOTS) [95,158,159], critical thinking skill [160], representation [161][162][163][164][165][166], data literacy [167], digital literacy [168], science process skills [169,170], problem solving skills [171,172], inductive thinking [173], visual literacy [174], communication skills [175], analytical thinking skills [176], and scientific literacy [177]. Moreover, several diagnos-tic tests are also established by the Indonesian PER authors to detect potential students' misconceptions [178][179][180][181][182], lack of representation ability [183][184][185], lack of higher order thinking skills (HOTS) [186], lack of critical thinking skills [160], lack of problem-solving skills [184], lack of data literacy [187], as well as the lack of understanding throughout astronomy class [188].…”

Section: Topic 2: Assessmentmentioning

confidence: 99%

Thematic Analysis of Indonesian Physics Education Research Literature Using Machine Learning

Santoso

Istiyono

Haryanto

et al. 2022

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Abundant physics education research (PER) literature has been disseminated through academic publications. Over the years, the growing body of literature challenges Indonesian PER scholars to understand how the research community has progressed and possible future work that should be encouraged. Nevertheless, the previous traditional method of thematic analysis possesses limitations when the amount of PER literature exponentially increases. In order to deal with this plethora of publications, one of the machine learning (ML) algorithms from natural language processing (NLP) studies was employed in this paper to automate a thematic analysis of Indonesian PER literature that still needs to be explored within the community. One of the well-known NLP algorithms, latent Dirichlet allocation (LDA), was used in this study to extract Indonesian PER topics and their evolution between 2014 and 2021. A total of 852 papers (~4 to 8 pages each) were collectively downloaded from five international conference proceedings organized, peer reviewed, and published by Indonesian PER researchers. Before their topics were modeled through the LDA algorithm, our data corpus was preprocessed through several common procedures of established NLP studies. The findings revealed that LDA had thematically quantified Indonesian PER topics and described their distinct development over a certain period. The identified topics from this study recommended that the Indonesian PER community establish robust development in eight distinct topics to the present. Here, we commenced with an initial interest focusing on research on physics laboratories and followed the research-based instruction in late 2015. For the past few years, the Indonesian PER scholars have mostly studied 21st century skills which have given way to a focus on developing relevant educational technologies and promoting the interdisciplinary aspects of physics education. We suggest an open room for Indonesian PER scholars to address the qualitative aspects of physics teaching and learning that is still scant within the literature.

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Section: Topic 2: Assessmentmentioning

confidence: 99%

Thematic Analysis of Indonesian Physics Education Research Literature Using Machine Learning

Santoso

Istiyono

Haryanto

et al. 2022

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“…If you want to know the representation ability of students in solving problems in the matter of representation, it is necessary to develop an instrument to measure that ability. However, school teachers more often develop assessment instruments to measure and train students' high-level thinking skills, assessment instruments to measure and practice representation skills are rarely developed [27]. Therefore, it is very important to develop instruments and know their characteristics in order to measure and know the abilities of students, especially the most basic representations namely, verbal representations as a form of qualitative problem solving [27] [30].…”

Section: Introductionmentioning

confidence: 99%

Assessment Instrument on Measuring Physics Verbal Representation Ability of Senior High School Students

Adawiyah¹,

Istiyono²

2021

Advances in Social Science, Education and Humanities Research

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The problem questions used in the physics learning assessment process do not only require the ability of students to apply concepts only in solving problems. But more than that, these questions measure how the concept can be applied in various situations, and how students make sense in solving the problems. Representing the same concept and then conveying it in a different form is the meaning of multiple representations. The ability of multi representation is one of the most important abilities to be mastered by students. For this reason, this study aims to develop a question instrument and to determine the characteristics of the verbal representation questions of Physics on Particle Dynamics, Newton's Law of Gravity, and Work and Energy. A total of 39 verbal representation questions were developed and tested on 322 students in Yogyakarta. The selection of the trial subjects was done by using the purposive sampling method. The steps for developing the instrument are, (1) Determination of test objectives, (2) Determination of test materials, (3) Designing test blueprints, (4) Writing test questions based on verbal indicators, (5) Content Validation, (6) Determination test subjects, (7) test implementation, and (8) analyzing test results. A total of 39 verbal representation questions have been developed with the format of two-tier multiple-choice questions. Valid items based on the results of content validation analysis using Aiken's V based on expert judgment and empirically, according to the PCM model. The difficulty index of all items on the test instrument is in a good category between -0.49 to 1.9. Test questions are very suitable for measuring verbal representation skills with an ability range of -2.3≤ θ ≤ 1.9. The results of this test item analysis can be used as a guide in assembling and presenting questions to measure the verbal representation ability of high school students in physics learning.

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Development of an instrument measuring the multi representation ability of senior high school students

Cited by 2 publications

References 13 publications

Thematic Analysis of Indonesian Physics Education Research Literature Using Machine Learning

Thematic Analysis of Indonesian Physics Education Research Literature Using Machine Learning

Assessment Instrument on Measuring Physics Verbal Representation Ability of Senior High School Students

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