Suciati Suciati
Universitas Sebelas Maret, Indonesia

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Effect of Dao Jiang Ping (DJP) Model Based Module on Learning Result of XI Class Students Suciati Suciati; Maridi Maridi; Nurul Kusuma Dewi; Dedy Subandowo; Anggit Sasmito
Journal of Innovation in Educational and Cultural Research Vol 1, No 1 (2020)
Publisher : Yayasan Keluarga Guru Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (683.076 KB) | DOI: 10.46843/jiecr.v1i1.6

Abstract

Learning outcomes are an evaluation mechanism in the curriculum to achieve graduates competency standards. Student learning outcomes include cognitive, affective, and psychomotor aspects. The purpose of this research is to know the effect of DJP Model based module to student learning result of class XI. The research used experimental method with pretest-posttest control group design. The research population is all of the XI MIA class of SMA Negeri 1 Geger with a total number of 192 students scattered into six classes. The sample which is taken by using simple random sampling technique resulted in two classes, namely XI MIA 3 class (experimental class using DJP Model module) which consist of 34 students and XI MIA 6 (control class using teaching material in school) which consist of 34 students. Data collection techniques are done through test (measuring cognitive learning outcomes) and non-tests (measuring affective and psychomotor learning outcomes). The research instruments used in this research were multiple choice questions, observation sheets, and documentation. The data were analyzed using SPSS 18 t-test with significance level of 0.05. The result of the analysis showed the experimental cognitive learning result of experimental class is higher (75,29 with 76,47% completeness) than control class (59,12 with 8,82% completeness) with significance level 0,000. The affective learning outcomes of experimental class were higher (89.78) than the control class (23.43) with significance level of 0.000. The experimental psychomotor learning outcomes of experimental class were higher (90.72) than control class (9,84) with a significance level of 0.000. Based on the results of the research can be concluded that the DJP Model-based Module gives positive effect on student learning outcomes of XI graders.
Innovating IoT instruction through simulation-based modules: An R&D study in higher education Kadek Dwi Hendratma Gunawan; Budi Utami; Bramastia Bramastia; Suciati Suciati; Muhammad Nur Hudha; Jovita Ridhani; Dyah Ayu Saraswati Adimudra
Momentum: Physics Education Journal Vol. 9 No. 2 (2025)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/mpej.v9i2.12897

Abstract

This study developed and evaluated a computer simulation–based Internet of Things (IoT) lecture module for the Artificial Intelligence for Science Education course to address the gap between abstract IoT concepts and classroom practice in science teacher education. Adopting an R&D approach with the ADDIE model, the module was structured into five subtopics aligned with explicit learning outcomes and supported by simulations, examples, and authentic projects. Expert validation (five validators: content, media, instructional, and evaluation) examined content, language, and presentation using Aiken’s V and Percentage of Agreement. Practicality was assessed via expert questionnaires (ease of use, attractiveness, usefulness, contextual relevance). Implementation involved a trial with 40 prospective science teachers, including a 5-point Likert readability survey. Content validity increased from 0.860 (valid) to 0.960 (very valid), and inter-rater reliability rose from 0.712 (fair) to 0.757 (good) after systematic revisions. Language validity improved from 0.833 to 0.950 (very valid); presentation remained strong at 0.893 (very valid) with qualitative enhancements to visual design. Expected practicality averaged 92% across dimensions (ease of use 91%; attractiveness 92%; usefulness 92%; contextual relevance 92%). Readability scores were consistently “highly readable” across seven dimensions (4.44–4.56), indicating clear language and style, logical sequencing, effective multimodal supports, manageable cognitive load, strong contextual relevance, and robust technical accessibility. The module is ready for classroom adoption, offering a scalable template for integrating IoT through simulations and authentic cases in preservice teacher education.