THE APPLICATION OF THE STUDENT TEAM ACHIEVEMENT DIVISION (STAD) METHOD SUPPORTED BY SKETCHFAB TO IMPROVE STUDENTS’ COLLABORATION SKILLS AND LEARNING OUTCOMES
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چکیده
Collaboration skills and learning outcomes are important aspects that support students’ success in science learning. However, these competencies are often not optimally developed through conventional learning approaches. This study aimed to examine the level, improvement, and significance of the increase in collaboration skills and learning outcomes of Grade VIII students at SMPN 27 Makassar through the implementation of the Student Teams Achievement Division (STAD) model assisted by Sketchfab. The study employed a pre-experimental method with a one-group pretest-posttest design. The sample consisted of 34 students from Class VIII.10 selected through purposive sampling. Data were collected using a collaboration skills questionnaire and a learning outcomes test and were analyzed using descriptive and inferential statistics. The results showed that the average collaboration skills score increased from 61.06 to 73.91, while the average learning outcomes score increased from 8.26 to 11.97. The N-Gain values indicated a moderate improvement in collaboration skills (0.32) and learning outcomes (0.55). In addition, the t-test results revealed a statistically significant increase in both variables (p < 0.05). Therefore, the STAD model assisted by Sketchfab can effectively enhance students’ collaboration skills and learning outcomes in science learning.
Husain, S. A., Muhiddin, N. H., Arif, R. N. H., Safitri, R. Y., & Nurfadila. (2026). THE APPLICATION OF THE STUDENT TEAM ACHIEVEMENT DIVISION (STAD) METHOD SUPPORTED BY SKETCHFAB TO IMPROVE STUDENTS’ COLLABORATION SKILLS AND LEARNING OUTCOMES. Jurnal IPA Terpadu, 10(2), 326–338. https://doi.org/10.35580/84gt3w40
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گزارش نوشتهی نامناسب: اگر نوشتهای حاوی نقض محرمانگی، محتوای آسیبزا، توهین، تبلیغ یا تخلف از این قوانین است، گزینهی «گزارش» را انتخاب کنید تا تیم سایت بررسی کند.
Students’ learning outcomes in Informatics remain a challenge when conventional instructional media offer limited interaction, contributing to passive engagement and difficulties understanding learning materials. This study examined changes in Grade X students’ learning outcomes after the implementation of Wordwall-assisted interactive learning media for the Computer Systems topic at SMAN 1 Sawahlunto, Indonesia. A quantitative approach was employed using a pre-experimental one-group pretest–posttest design involving 30 students from class X E4. Students completed a multiple-choice achievement test before instruction, participated in Computer Systems learning activities supported by Wordwall, and completed a posttest afterward. The intervention incorporated game-based activities to support practice and engagement; however, the research records did not specify its duration. Data were analyzed using descriptive statistics and a paired-samples t-test, with normalized gain (N-Gain) used to assess the level of improvement. The mean score increased from 53.67 on the pretest to 77.67 on the posttest, a difference of 24.00 points. The paired-samples t-test identified a statistically significant difference between scores (t = 8.664, df = 29, p < 0.001). The mean N-Gain was 0.538, indicating moderate improvement. These results show that students’ scores were higher after the Wordwall-assisted learning intervention. Nevertheless, the study did not include a control group, the observed change cannot be attributed to Wordwall alone; instructional or testing-related factors may also have contributed. Wordwall therefore be considered a useful supplementary medium for Informatics instruction, while further studies using control groups, larger samples, and documented intervention durations are needed to strengthen conclusions about its effectiveness.
Insecurity has become a significant threat to the effective delivery of basic education in Nigeria, particularly in communities affected by banditry, kidnapping, armed attacks, and communal violence. This study examined the influence of insecurity on teaching-learning outcomes in Universal Basic Education primary schools in Kagarko Local Government Area, Kaduna State, Nigeria. Specifically, it investigated the effects of insecurity on pupils’ academic performance and school attendance and identified strategies for reducing its adverse effects. The study adopted a qualitative documentary research design and relied on secondary data obtained from government publications, policy documents, institutional reports, international organisations, and peer-reviewed journal articles. The selected documents were analysed using qualitative content analysis and organised according to the study’s major themes. The findings revealed that insecurity negatively affects pupils’ academic performance by reducing instructional time, disrupting curriculum coverage, weakening concentration, and creating fear within the learning environment. It also reduces school attendance as parents may prevent their children from attending school because of kidnapping, attacks, unsafe travel routes, and instability within surrounding communities. Consequently, insecurity undermines the implementation of Universal Basic Education by limiting regular participation and disrupting stable teaching and learning conditions. The study concludes that ensuring school safety is essential for achieving the objectives of free and compulsory basic education. It recommends strengthening school security, implementing the Minimum Standards for Safe Schools, improving community participation, providing psychosocial support, protecting routes to school, establishing emergency response systems, and adopting flexible learning arrangements during periods of disruption.
Assessment in Arabic language learning as a foreign language (Arabic as a Foreign Language) is currently undergoing a significant paradigm shift. This transformation is influenced by the development of digital technology, the utilization of Artificial Intelligence (AI), and the implementation of the Merdeka Curriculum in Indonesia, which emphasizes flexibility, differentiation, and learning personalization. This article presents a Systematic Literature Review (SLR) aimed at identifying, examining, and synthesizing developments, innovations, methodological approaches, and various challenges in the assessment of the four Arabic language skills, namely listening, speaking, reading, and writing, during the period from 2020 to early 2026. The review employed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) protocol to identify and analyze relevant literature. The findings indicate a shift from conventional evaluation systems based on discrete tests toward the implementation of Technology-Enhanced Assessment (TEA) and more authentic forms of assessment. The literature synthesis reveals several key findings. First, diagnostic assessment, encompassing both cognitive and non-cognitive aspects, plays an important role in designing differentiated learning within the framework of the Merdeka Curriculum. Second, the development of assessment instruments for Arabic language maharah is increasingly oriented toward measuring higher-order thinking skills (Higher Order Thinking Skills/HOTS). Third, the utilization of Generative AI, including ChatGPT, as well as various gamification-based learning platforms, has introduced new approaches to providing faster, more adaptive, and interactive feedback. Based on the synthesis, the effectiveness of modern assessment is not determined solely by the sophistication of the technology employed, but also by the alignment between technology and pedagogical objectives, the transparency of assessment procedures, and its ability to comprehensively represent learners' communicative competence while maintaining the principles of academic integrity.
Slovak Republic has accumulated significant experience in integrating digital technologies into the professional development of educators, and a systematic analysis of this experience could serve as a resource for modernising the Ukrainian system of postgraduate education. The aim of this article is to provide a theoretical analysis, systematisation and classification of digital technologies for professional development of educators in Slovakia and to justify a model for professional development of educators using digital technologies. General scientific methods such as analysis, classification and systematisation of the results of scientific publications, as well as content analysis of strategic and regulatory documents of the EU and the SR, were employed. The article highlights the results of national and international projects implemented at Comenius University in Bratislava, which are aimed at supporting the professional development of teachers in digital environment. Strategic and regulatory documents, project materials, methodological resources and practices developed within the framework of national and international initiatives have been analysed, with particular attention paid to the DiTEdu project and the digital professional development of educators. Based on the systematisation and comparative analysis of the identified practices, an original structural-functional model of professional development for educators using digital technologies has been developed, and a classification of the main types of digital tools used in the Slovak context has been proposed. The findings have made it possible to identify the key organisational, pedagogical and technological conditions for effective digital professional development, in particular personalised learning, blended formats, professional networking, learning using artificial intelligence, the development of digital competence and ongoing methodological support. Recommendations are proposed at the national, institutional and individual levels for Ukrainian postgraduate education regarding the implementation of the Slovak experience in the using of digital technologies in the professional development of educators.
The emergence of generative artificial intelligence (Generative AI), such as ChatGPT, has brought significant changes to higher education, including Arabic language learning for non-native speakers (Arabic as a Foreign Language). Writing skills (Maharah al-Kitabah) are considered a relatively complex productive skill. Learners are required not only to master word formation (Sarf) and Arabic grammar (Nahwu), but also to organize ideas coherently and logically. This article employs a Systematic Literature Review (SLR) approach based on the PRISMA 2020 standards to map the use of ChatGPT in Arabic writing, examine the reliability of AI in Arabic grammar, and identify research gaps that remain underexplored. The review findings indicate that ChatGPT can serve as a useful writing partner (human-AI co-writer), particularly for generating ideas, enriching vocabulary, and correcting basic grammatical errors. However, AI still frequently produces errors or “hallucinations” when dealing with morphologically complex words, variations in Arabic dialects, and unvocalized texts. As a result, AI-generated writing may appear linguistically polished on the surface while containing grammatical inaccuracies. Furthermore, excessive reliance on AI may pose risks to academic integrity, while AI detection tools themselves often produce inaccurate results when identifying Arabic-language texts (false positives). This review also finds that existing research remains overly focused on English, tends to examine only the final writing outcomes without investigating students’ cognitive processes, and has paid limited attention to AI models specifically developed for the Arab region, such as ALLaM and Jais. Therefore, the approach to AI-assisted learning needs to shift from merely using AI toward purposeful and reflective utilization through frameworks such as the Spiral Learning Model and Genre-Based Pedagogy, so that AI functions as a scaffold without diminishing students’ autonomy and critical thinking.