Subtopic Deep Dive
Physics Student Attitudes and Conceptions
Research Guide
What is Physics Student Attitudes and Conceptions?
Physics Student Attitudes and Conceptions examines Indonesian students' attitudes toward physics, conceptual understanding, and misconceptions in topics like force, energy, and mechanics using surveys, interviews, and diagnostic instruments.
Studies focus on Indonesian high school and pre-service teachers, revealing low scientific literacy and persistent misconceptions in physics concepts (El Islami & Nuangchalerm, 2020, 45 citations). Interventions like e-modules, Android apps, and Ethno-STEM models target higher-order thinking skills and attitude improvement (Astalini et al., 2019, 150 citations; Martawijaya et al., 2023, 44 citations). Over 10 papers since 2017 document these efforts, with meta-analyses confirming cognitive conflict's role in reducing misconceptions (Mufit et al., 2020, 38 citations).
Why It Matters
Addressing physics misconceptions enhances STEM engagement in Indonesia, where students score low on scientific literacy benchmarks (El Islami & Nuangchalerm, 2020). E-modules and Android-based media improve attitudes and higher-order thinking, boosting learning outcomes in resource-limited schools (Astalini et al., 2019; Dasilva et al., 2019). Ethno-STEM approaches link local contexts like Lake Tempe to physics concepts, reducing misconceptions and fostering cultural relevance (Martawijaya et al., 2023). Meta-analysis shows cognitive conflict strategies effectively remediate errors across mechanics topics (Mufit et al., 2020).
Key Research Challenges
Persistent Misconceptions
Students hold entrenched errors in force, energy, and mechanics despite instruction (Mufit et al., 2020). Cognitive conflict strategies show moderate effect sizes in meta-analysis (ES=0.72). Diagnostic instruments are needed for precise identification.
Low Attitudes Toward Physics
Indonesian students exhibit negative attitudes, limiting engagement (Astalini et al., 2019). E-assessments improve motivation but require scalability. Cultural factors hinder STEM interest (Sumarni et al., 2020).
Measurement Instrument Validity
Surveys and interviews lack reliability for attitudes and conceptions (El Islami & Nuangchalerm, 2020). Developing valid diagnostics for HOTS remains challenging (Dasilva et al., 2019). Standardization across regions is inconsistent.
Essential Papers
Effectivenes of Using E-Module and E-Assessment
Astalini Astalini, Darmaji Darmaji, Wawan Kurniawan et al. · 2019 · International Journal of Interactive Mobile Technologies (iJIM) · 150 citations
4.0 industrial revolution gives opportunity for education through learning technology. Mobile learning is the use of technology in the learning process using tablets, PCs or smartphones. Technologi...
Development of Android-Based Interactive Physics Mobile Learning Media (IPMLM) with Scaffolding Learning Approach to Improve HOTS of high school students in Indonesia
Beatrix Elvi Dasilva, Tiara Kusuma Ardiyati, Suparno Suparno et al. · 2019 · Journal for the Education of Gifted Young Scientists · 47 citations
The objectives of this study are to: a) Produce an Android-based Interactive Physics Mobile Learning Media (IPMLM) that is eligible for improving Higher-order Thinking Skills (HOTS) of high school ...
Comparative study of scientific literacy: Indonesian and Thai pre-service science teachers report
R. Ahmad Zaky El Islami, Prasart Nuangchalerm · 2020 · International Journal of Evaluation and Research in Education (IJERE) · 45 citations
The changing world needs literate citizens to live with creative society. This study aimed to compare science literacy of novice science teacher students from Thailand and Indonesia. Panel particip...
The Effect of Applying the Ethno-STEM-Project-based Learning Model on Students' Higher-order Thinking Skill and Misconception of Physics Topics Related to Lake Tempe, Indonesia
M. A. Martawijaya, S. Rahmadhanningsih, Ahmad Swandi et al. · 2023 · Jurnal Pendidikan IPA Indonesia · 44 citations
This study aims to determine the effect of applying the Ethno-STEM-Project Based Learning model about the concept of physics related to Lake Tempe on students’ conceptual understanding of physics, ...
THE EFFECTIVENESS OF INQUIRY BASED LEARNING FOR NATURAL SCIENCE LEARNING IN ELEMENTARY SCHOOL
Dek Ngurah Laba Laksana · 2017 · Journal of Education Technology · 40 citations
This paper primarily emphasized on describing the use of inquiry in natural science learning at primary school. This study also exposed the validity of inquiry strategy in natural science learning ...
Learning Electricity using Arduino-Android based Game to Improve STEM Literacy
Alifa Irna Yasin, Eka Cahya Prima, Hayat Sholihin · 2018 · Journal of Science Learning · 40 citations
The STEM is an interdisciplinary approach provided learning atmosphere where students can use science, technology, engineering and math in daily life. The aim of the STEM is educating the students ...
Meta-Analysis of the Effect of Cognitive Conflict on Physics Learning
Fatni Mufit, Asrizal Asrizal, Reni Puspitasari · 2020 · Jurnal Penelitian & Pengembangan Pendidikan Fisika · 38 citations
Problems often experienced by students in learning physics are misconceptions and low understanding of concepts. One solution to this problem is to apply conflict cognitive learning. The purpose of...
Reading Guide
Foundational Papers
No pre-2015 foundational papers available; start with Astalini et al. (2019) for baseline e-learning attitudes (150 citations).
Recent Advances
Martawijaya et al. (2023) Ethno-STEM for local misconceptions; Mufit et al. (2020) cognitive conflict meta-analysis.
Core Methods
Surveys/interviews for attitudes; diagnostic tests for misconceptions; cognitive conflict, e-modules, Android apps, Ethno-STEM for remediation (Mufit et al., 2020; Dasilva et al., 2019).
How PapersFlow Helps You Research Physics Student Attitudes and Conceptions
Discover & Search
Research Agent uses searchPapers and exaSearch to find Indonesian physics misconception studies, revealing Astalini et al. (2019) as top-cited (150 citations). citationGraph traces cognitive conflict lineage from Mufit et al. (2020) meta-analysis. findSimilarPapers expands from Martawijaya et al. (2023) Ethno-STEM to 20+ local interventions.
Analyze & Verify
Analysis Agent applies readPaperContent to extract misconception rates from Mufit et al. (2020), then verifyResponse with CoVe checks effect sizes against meta-data. runPythonAnalysis computes pooled ES from 15 studies using pandas, graded A via GRADE for statistical rigor. Validates attitude survey reliabilities from Astalini et al. (2019).
Synthesize & Write
Synthesis Agent detects gaps like untested rural attitudes post-2020, flags contradictions in HOTS gains between Dasilva et al. (2019) and Martawijaya et al. (2023). Writing Agent uses latexEditText for survey tables, latexSyncCitations for 10-paper review, latexCompile for submission-ready manuscript, exportMermaid for intervention flowcharts.
Use Cases
"Analyze misconception reduction effect sizes from Indonesian physics papers."
Research Agent → searchPapers('physics misconceptions Indonesia') → Analysis Agent → runPythonAnalysis(pandas meta-analysis on ES from Mufit et al. 2020) → CSV export of pooled results with GRADE scores.
"Draft LaTeX review on Ethno-STEM for physics attitudes."
Synthesis Agent → gap detection on Martawijaya et al. (2023) → Writing Agent → latexEditText(intro) → latexSyncCitations(10 papers) → latexCompile → PDF with diagrams.
"Find code for physics diagnostic apps in Indonesia."
Research Agent → paperExtractUrls(Dasilva et al. 2019 Android IPMLM) → Code Discovery → paperFindGithubRepo → githubRepoInspect → runnable Arduino-Android STEM literacy code.
Automated Workflows
Deep Research workflow conducts systematic review of 50+ Indonesian physics attitude papers, chaining searchPapers → citationGraph → GRADE-graded summary report on misconceptions. DeepScan applies 7-step analysis to Mufit et al. (2020), verifying cognitive conflict ES via CoVe and Python stats. Theorizer generates theory linking attitudes to Ethno-STEM from Martawijaya et al. (2023) and Sumarni et al. (2020).
Frequently Asked Questions
What defines Physics Student Attitudes and Conceptions?
It studies Indonesian students' physics attitudes, conceptual grasp, and misconceptions via surveys and diagnostics on force, energy, mechanics (Astalini et al., 2019). Focuses on interventions like e-modules.
What methods identify misconceptions?
Diagnostic instruments, interviews, cognitive conflict strategies, and meta-analysis (Mufit et al., 2020). Android scaffolding and Ethno-STEM projects assess HOTS (Dasilva et al., 2019; Martawijaya et al., 2023).
What are key papers?
Astalini et al. (2019, 150 citations) on e-modules; Mufit et al. (2020, 38 citations) meta-analysis; Martawijaya et al. (2023, 44 citations) Ethno-STEM.
What open problems exist?
Scaling valid diagnostics to rural areas; integrating cultural science without diluting STEM rigor (Sumarni et al., 2020). Long-term attitude retention post-intervention untested.
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Part of the Educational Methods and Outcomes Research Guide