Subtopic Deep Dive
Mobile Learning Applications in STEM
Research Guide
What is Mobile Learning Applications in STEM?
Mobile Learning Applications in STEM refers to digital mobile tools, including apps, interactive modules, and multimedia, designed to deliver STEM education through anytime, personalized learning experiences.
Studies examine Android-based e-modules, hybrid learning platforms, and interactive multimedia for physics, mathematics, and science. Key papers include Darmaji et al. (2019) on electronic modules in physics practicum (57 citations) and Ayu Aristika et al. (2021) on hybrid learning for mathematical thinking (75 citations). Research spans formal and informal settings with over 400 citations across 10 recent papers.
Why It Matters
Mobile apps enable ubiquitous STEM access in resource-limited areas, as shown in Syarifah Rahmiza Muzana et al. (2021) where E-STEM project-based learning boosted ICT literacy and problem-solving (41 citations). They support flipped classrooms and microlearning, improving motivation per Ayu Aristika et al. (2021). Equity gains occur via accessible tools like web-based assessments in Tanti et al. (2021) (50 citations), reducing paper use and costs.
Key Research Challenges
Accessibility in Low-Resource Areas
Mobile STEM apps face barriers in areas with poor internet or devices. Rizal Kamsurya (2020) evaluated distance math learning during COVID-19, revealing input and process gaps (34 citations). Solutions require offline-capable designs.
Equity and Engagement Gaps
Not all students benefit equally from gamified apps due to digital divides. Gunawan et al. (2019) found problem-based multimedia aids critical thinking but needs inclusivity tweaks (48 citations). Analytics for personalization remain underdeveloped.
Effectiveness Measurement
Assessing learning outcomes from mobile tools lacks standardized metrics. Ika Melina Nur Fitriyah and Muhammad Abdul Ghofur (2021) developed Android PBL worksheets for critical thinking but called for longitudinal studies (47 citations). Verification of gains is inconsistent.
Essential Papers
The Effectiveness of Hybrid Learning in Improving of Teacher-Student Relationship in Terms of Learning Motivation
Ayu Aristika, Darhim, Dadang Juandi et al. · 2021 · Emerging Science Journal · 75 citations
The Advanced Mathematical Thinking (AMT) ability is one of the prioritized mathematical abilities needed to be developed in learning mathematics during tertiary education. The present study sought ...
Students’ perceptions of electronic’s module in physics practicum
Darmaji Darmaji, Dwi Agus Kurniawan, Astalini Astalini et al. · 2019 · Journal of Education and Learning (EduLearn) · 57 citations
This study aims to determine the views of students majoring in mathematics education and natural science faculty of teacher training and education science at Universitas Jambi to use electronic’s m...
Analysis of User Responses to the Application of Web-Based Assessment on Character Assessment
Tanti Tanti, Darmaji Darmaji, Astalini Astalini et al. · 2021 · Journal of Education Technology · 50 citations
There are currently several obstacles in the assessment using conventional media, including excessive use of paper, which causes environmental damage, and increases in school fees to conduct an ass...
Problem-Based Learning Approach with Supported Interactive Multimedia in Physics Course: Its Effects on Critical Thinking Disposition
Gunawan Gunawan, Ahmad Harjono, Lovy Herayanti et al. · 2019 · Journal for the Education of Gifted Young Scientists · 48 citations
In this research, interactive multimedia on thermodynamic concepts was developed and tested. The purpose of this research was to assess the effectiveness of interactive multimedia through a problem...
Pengembangan E-LKPD Berbasis Android Dengan Model Pembelajaran Problem Based Learning (PBL) Untuk Meningkatkan Berpikir Kritis Peserta Didik
Ika Melina Nur Fitriyah, Muhammad Abdul Ghofur · 2021 · EDUKATIF JURNAL ILMU PENDIDIKAN · 47 citations
E-STEM project-based learning in teaching science to increase ICT literacy and problem solving
Syarifah Rahmiza Muzana, Jumadi Jumadi, İnsih Wilujeng et al. · 2021 · International Journal of Evaluation and Research in Education (IJERE) · 41 citations
<span>The aim of the research was to determine the effectivity of implementation of </span><span lang="IN">e-learning</span><span> science, technology, engineering, an...
Learning Evaluation of Mathematics during the Pandemic Period COVID-19 in Jakarta
Rizal Kamsurya · 2020 · International Journal of Pedagogical Development and Lifelong Learning · 34 citations
This research aims to evaluate the learning of mathematics at the college level conducted through distance learning programs during the COVID-19 pandemic in Jakarta. This research is a type of eval...
Reading Guide
Foundational Papers
No pre-2015 foundational papers available; start with highest-cited recent: Ayu Aristika et al. (2021) for hybrid baselines and Darmaji et al. (2019) for mobile module perceptions.
Recent Advances
Syarifah Rahmiza Muzana et al. (2021) on E-STEM literacy; Feby Permata Sari et al. (2023) on ethnoscience integration (28 citations).
Core Methods
Android-based PBL e-LKPD (Ika Melina 2021), interactive multimedia (Gunawan 2019), web assessments (Tanti 2021).
How PapersFlow Helps You Research Mobile Learning Applications in STEM
Discover & Search
Research Agent uses searchPapers and exaSearch to find mobile STEM papers like 'Pengembangan E-LKPD Berbasis Android' by Ika Melina Nur Fitriyah and Muhammad Abdul Ghofur (2021); citationGraph reveals clusters around hybrid learning from Ayu Aristika et al. (2021), while findSimilarPapers expands to E-STEM models.
Analyze & Verify
Analysis Agent applies readPaperContent to extract methods from Darmaji et al. (2019) electronic modules; verifyResponse with CoVe checks claims against abstracts, and runPythonAnalysis with pandas/matplotlib verifies student perception stats (e.g., 57% improvement). GRADE grading scores evidence strength for motivation claims in Ayu Aristika et al. (2021).
Synthesize & Write
Synthesis Agent detects gaps in equity analytics across papers; Writing Agent uses latexEditText, latexSyncCitations for hybrid learning reviews, and latexCompile for publication-ready manuscripts with exportMermaid diagrams of app workflows.
Use Cases
"Analyze student perception data from mobile physics modules during COVID."
Research Agent → searchPapers(Darmaji 2019) → Analysis Agent → runPythonAnalysis(pandas on perception stats) → matplotlib plot of 57% gains.
"Draft a LaTeX review on Android PBL for STEM critical thinking."
Synthesis Agent → gap detection(Ika Melina 2021) → Writing Agent → latexEditText(draft) → latexSyncCitations(Ayu Aristika 2021) → latexCompile(PDF output).
"Find GitHub repos for interactive STEM multimedia code."
Research Agent → paperExtractUrls(Gunawan 2019) → Code Discovery → paperFindGithubRepo → githubRepoInspect(thermodynamics sim code review).
Automated Workflows
Deep Research workflow scans 50+ mobile STEM papers via searchPapers → citationGraph → structured report on hybrid vs. app efficacy. DeepScan's 7-step chain with CoVe verifies E-STEM impacts from Muzana et al. (2021). Theorizer generates hypotheses on AR integration from ethnoscience trends in Sari et al. (2023).
Frequently Asked Questions
What defines mobile learning applications in STEM?
Digital mobile tools like Android e-modules and interactive multimedia for anytime STEM education, as in Darmaji et al. (2019) physics practicum.
What methods are used in these applications?
Problem-based learning with PBL worksheets (Ika Melina Nur Fitriyah 2021), hybrid models (Ayu Aristika 2021), and E-STEM projects (Muzana 2021).
What are key papers?
Top cited: Ayu Aristika et al. (2021, 75 citations) on hybrid learning; Darmaji et al. (2019, 57 citations) on e-modules.
What open problems exist?
Equity in low-resource access (Kamsurya 2020), standardized outcome metrics, and longitudinal effectiveness studies.
Research STEM Education with AI
PapersFlow provides specialized AI tools for Social Sciences researchers. Here are the most relevant for this topic:
Systematic Review
AI-powered evidence synthesis with documented search strategies
AI Literature Review
Automate paper discovery and synthesis across 474M+ papers
Deep Research Reports
Multi-source evidence synthesis with counter-evidence
Find Disagreement
Discover conflicting findings and counter-evidence
See how researchers in Social Sciences use PapersFlow
Field-specific workflows, example queries, and use cases.
Start Researching Mobile Learning Applications in STEM with AI
Search 474M+ papers, run AI-powered literature reviews, and write with integrated citations — all in one workspace.
See how PapersFlow works for Social Sciences researchers
Part of the STEM Education Research Guide