Narrative Text Research Articles

Peningkatan Kemampuan Pemahaman Membaca Teks Narrative Bahasa Inggris Melalui Penerapan Media Vidio Terhadap Peserta Didik Kelas XI IPS2 SMAN Negeri 5 Bukittinggi

This study aims to improve the ability to read English narrative texts by applying video media to students of class XI IPS2 at SMA Negeri 5 Bukittingi. This study applies video media in teaching narrative text. The population of this study were students of class XI IPS2 SMA Negeri 5 Bukittinggi for the 2021/2022 academic year, which consisted of 33 students. This Classroom Action Research is expected to improve students' reading comprehension skills in English narrative texts. The findings of Classroom Action Research (PTK) after being analyzed showed that based on the initial scores of students in class XI IPS2 semester 1, they obtained an average score of 53. After the first cycle was carried out, the average value was 67.6 and after the second cycle was carried out, it increased to 84.5. . From the initial data, it can be seen from the 33 students, 2 students obtained completeness, namely 6.06% and 31 students did not achieve completeness, namely 93.9%. In cycle 1, students who obtained mastery increased by 8 people, namely (24.2%) and 25 students who had not achieved mastery, namely 75.7%. In cycle 2 the students who obtained mastery increased to 31 students namely (93.9%) and 2 students who had not achieved completeness namely 6.06%. reading narrative texts in English for class XI IPS2 students at SMA Negeri 5 Bukittinggi.

Interprofessional undergraduate breastfeeding education: A scoping review protocol

Objective To review and summarise interprofessional breastfeeding curricula—educational initiatives involving multiple health professions—that have been proposed for undergraduate or pre-registration health students. This review will help guide the development of future Interprofessional Education (IPE) curricula for undergraduate health students, specifically in the area of breastfeeding care. Introduction Breastfeeding care and support from healthcare professionals are vital for breastfeeding success. To ensure mothers receive high-quality, consistent care, healthcare professionals must receive comprehensive, evidence-based breastfeeding education. However, there is limited understanding of how breastfeeding curricula are delivered across different disciplines in undergraduate health programs, particularly in the context of IPE. Inclusion criteria Primary research designs, including quantitative, qualitative and mixed-method studies and evidence syntheses of primary research including systematic and scoping reviews that meet the inclusion criteria will be considered. Position papers and policy documents will also be considered for inclusion in this scoping review. Methods Medline (Ovid), CINAHL (EBSCO), ERIC (EBSCO), Social Sciences, and Cochrane Databases of Systematic Reviews will be searched with English language and date restrictions (2005-current). Titles and abstracts and full-text articles will be independently screened by two reviewers. The reference lists of the included studies will be searched. A grey literature search will be undertaken on Google scholar, BASE and National Institute for Health and Care Excellence (NICE) website in October 2024. Studies will be screened in Covidence by two independent reviewers. All reviewers will agree on the included studies. Data will be extracted and presented graphically using figures and tables. Narrative summary text will accompany the tables and figures.

PENINGKATAN KEMAMPUAN MEMBACA PEMAHAMAN SISWA SD MELALUI METODE CERITA BERGAMBAR DALAM PEMBELAJARAN BAHASA INDONESIA

The ability to read comprehension is one aspect of the skills that elementary school students need to have. However, many students still experience difficulties in understanding the content of the text they read. This article examines the use of picture story method as a strategy to improve students reading comprehension skills. This method integritas visual element with narrative text,thereby helping students more easily understand the content of the reading. Apart from improving understanding of the illustrated stories also play a role in increasing students interest and motivation to learn. This article advocates the wider application of the picture story method in Indonesia language learning in elementary schools

Teaching Reading Comprehension on Narrative Texts Through Whatsapp Group Features: An E-Learning Implementation in Junior Highs Schools

The act of reading necessitates that student readers employ various cognitive and linguistic tactics to comprehend the meaning embedded within the text. Using an e-learning method through WhatsApp groups to teach reading comprehension on narrative texts can be a new breakthrough. Therefore, the present study aims to find out the effect of WhatsApp groups on narrative text in junior high school students to teach reading comprehension. To reach the research aims, the study used experimental research method. The population of this research was 330 students of grade 9 of junior high school in Pematangsiantar. The researchers divided the samples intor control group and experimental group. The data collection method used was the reading tests employed to the students which covered pre-test, treatment, and post-test. The statistical analysis employed t-test analysis. Comparison of data from both groups indicated superior performance by the experimental group. The findings unequivocally show that the experimental intervention employing WhatsApp have significant effect on students’ reading comprehension of narrative text compared to traditional approaches. While WhatsApp has proven to be an effective tool, researchers must consider the challenges of using it for reading instruction in remote areas with limited internet connectivity. Students cannot access WhatsApp-based reading lessons without internet access, though they can still search for information through text messages. Therefore, it is important to examine the limitations of utilizing WhatsApp for reading education in areas with poor internet infrastructure.

Penerapan Teks Narasi Goa Kreo Berbasis Culturally Responsive Teaching Berbantuan Media Puzzle Upaya Peningkatan Hasil Belajar dan Berpikir Kritis Siswa Kelas III SD

This study aims to analyze the improvement of students' learning outcomes and critical thinking skills through the application of Goa Kreo narrative text based on the Culturally Responsive Teaching (CRT) approach with puzzle media. The subjects of the study were grade III students of SDN Kalibanteng Kidul 01 Semarang. The study used a pre-experimental design with a quantitative and qualitative approach. The results showed an increase in student learning outcomes with an average N-gain of 0.46, included in the moderate category. In addition, students' critical thinking skills also increased significantly based on observation sheets that were analyzed descriptively. The CRT approach has proven effective in integrating local culture into learning.

Studi Inflectional Affixes pada Teks Naratif: Implikasinya untuk Pengajaran Bahasa Inggris

This study aims to examine the use of the inflectional affixes -es and -ed in the narrative text "The Enchanted Fish" and their implications for English language teaching. Employing a descriptive qualitative research method through content analysis, the study identifies the patterns of -es and -ed suffixes attached to verbs in the narrative text. The analysis reveals that the -es suffix represents verbs in the third-person singular form in the present tense, while the -ed suffix represents verbs in the past tense within the narrative. The findings suggest that the use of various tenses in narrative texts enhances storytelling depth and richness, aiding students in understanding contrasts between ongoing events, habitual actions or permanent states, and past occurrences. In this context, the analysis of -es and -ed inflectional affixes on verbs in narrative texts can serve as a resource for teaching students about word formation, which can then be expanded into sentence construction. Furthermore, mastering this grammatical aspect can simultaneously support students' competence in reading and writing narrative texts

Exploring Clause Complexity: A Comprehensive Analysis of a Student’s Narrative Text on Central Kalimantan Folklore

Writing cohesive and engaging narrative texts requires effective use of clause complexity to convey meaning and maintain reader interest. This research examines clause complexity in a narrative text written by a student in the English Education Program at the University of Palangka Raya, focusing on Central Kalimantan folklore. Using a qualitative approach with content analysis and Systemic Functional Linguistics (SFL), the research applies Halliday and Matthiessen’s (2013) framework, emphasizing taxis (parataxis and hypotaxis) and logico-semantic relations, including expansion (elaboration, extension, and enhancement) and projection (locution and idea). The text was chosen for its thematic relevance, generic structure, language features, and clause diversity. Results show paratactic constructions dominate, comprising 77% of the total clauses, reflecting the student’s preference for coordination to ensure readability and clarity. Paratactic extension (27%) and enhancement (17%) highlight effective idea connection and context, while paratactic locution (33%) underscores the role of dialogue in engaging readers. Hypotactic constructions, at 13%, focus on idea projection and enhancement (10%), indicating limited use of subordination for expressing complex relationships. These findings underline the importance of mastering both coordination and subordination techniques for cohesive, meaningful narratives. The research provides insights for educators to enhance students' clause usage in academic writing.

The Correlation Between Students’ Reading Speed and Their Reading Comprehension in Narrative Text at the Ninth Grade of SMPN 1 Ampek Angkek

The Correlation Between Students’ Reading Speed and Their Reading Comprehension in Narrative Text at the Ninth Grade of SMPN 1 Ampek Angkek

Penerapan Modul Ajar Literasi Inovatif Berbantuan Teks Narasi Imajinatif untuk Peningkatan Kemampuan Membaca Pemahaman Siswa Kelas 2 SD

This research aims to improve students' reading comprehension skills in material on maintaining personal health in the Indonesian language subject for grade 2 students at SDN Wates 01 through the application of innovative literacy teaching modules assisted by imaginative narrative texts. This research uses a mix method which combines quantitative and qualitative approaches. The research results showed a significant increase in the average student score from 65 (42% completeness with quite effective criteria) on the pretest to 85 (85% completeness with very effective criteria) on the posttest. Innovative literacy teaching modules assisted by imaginative narrative texts have been proven to improve students' reading skills and understanding of material on maintaining personal health, especially dental health, Indonesian language subjects.

The Impact of Informative and Narrative Texts on Arabic Language Comprehension in Islamic Education

This study investigates the impact of narrative and informative texts on Arabic reading comprehension in the context of Islamic education. Arabic proficiency is crucial for understanding Islamic teachings, yet the differential effects of narrative and informative texts on comprehension have not been extensively explored. While narrative texts engage students through storytelling, fostering emotional connections and intuitive understanding, informative texts provide factual knowledge, supporting analytical thinking and academic comprehension. The gap in literature lies in the comparative analysis of these two types of texts in Arabic language learning within Islamic education. The primary objective of this study was to evaluate how narrative and informative texts affect Arabic comprehension in 12th-grade students. A comparative methodology was employed, using pre- and post-test assessments to measure reading comprehension after exposure to both text types. Statistical analysis was applied to determine the significance of differences in comprehension scores between narrative and informative texts. The results indicated a significant difference in students' comprehension scores, with narrative texts yielding higher mean scores (87.81) compared to informative texts (73.77), suggesting that narrative texts may be more engaging for students. However, no significant correlation was found between the two text types and overall comprehension, highlighting the influence of factors such as teaching methods and student engagement. The study’s limitation includes its small sample size, which may affect the generalizability of the results. The originality of this study lies in its focus on Arabic language learning in Islamic education, providing insights into how different text types can enhance reading comprehension and support language development in this specific educational context.

Utility of ChatGPT as a preparation tool for the Orthopaedic In-Training Examination.

Chat Generative Pre-Trained Transformer (ChatGPT) may have implications as a novel educational resource. There are differences in opinion on the best resource for the Orthopaedic In-Training Exam (OITE) as information changes from year to year. This study assesses ChatGPT's performance on the OITE for use as a potential study resource for residents. Questions for the OITE data set were sourced from the American Academy of Orthopaedic Surgeons (AAOS) website. All questions from the 2022 OITE were included. All questions, including those with images, were included in the analysis. The questions were formatted in the same manner as presented on the AAOS website, with the question, narrative text and answer choices separated by a line. Each question was evaluated in a new chat session to minimize confounding variables. Answers from ChatGPT were characterized by whether they contained logical, internal or external information. Incorrect responses were further categorized into logical, informational or explicit fallacies. ChatGPT yielded an overall success rate of 48.3% based on the 2022 AAOS OITE. ChatGPT demonstrated the ability to apply logic and stepwise thinking in 67.6% of the questions. ChatGPT effectively utilized internal information from the question stem in 68.1% of the questions. ChatGPT also demonstrated the ability to incorporate external information in 68.1% of the questions. The utilization of logical reasoning (p < 0.001), internal information (p = 0.004) and external information (p = 0.009) was greater among correct responses than incorrect responses. Informational fallacy was the most common shortcoming of ChatGPT's responses. There was no difference in correct responses based on whether or not an image was present (p = 0.320). ChatGPT demonstrates logical, informational and explicit fallacies which, at this time, may lead to misinformation and hinder resident education. Level V.

The impact of text format on the quality of students' reading performance

Introduction. The rapid proliferation of digital technologies and the widespread adoption of electronic texts in the educational process have raised the question of the impact of text presentation mode on the quality of students' reading. This issue is especially important during the period of development of reading skills in primary school. This article describes the results of an experimental study conducted to investigate the influence of text presentation mode on the reading performance of primary and secondary school students. Materials and methods. To achieve the research goals and objectives, an experimental design with repeated measures and control of additional variables using counterbalancing was developed. Participants were asked to read simplified and complicated texts in electronic and print formats sequentially. The experiment was conducted in two stages to assess the reading quality of simplified narrative texts and texts with a complex rhetorical structure. The experiment involved 107 primary school students aged 7 to 10 years (mean age = 9.33, 53.33% girls) and 30 secondary school students aged 11 to 15 years (mean age = 12.33, 53.33% girls). Results. The study found no significant differences in younger students' reading speed, memorization performance, and comprehension of simple narrative texts presented in electronic and print formats (163≤T≤648; 0,24≤p≤0,97). As students matured, they showed higher memorization performance for simple electronic texts compared to printed texts (χ 2 =5,98; p=0,047 – text «MA»; χ 2 =8,79; p=0,012 – text «AA»). However, the text format did not affect reading speed. The significance of the text presentation mode was amplified when perceiving complex texts. Girls showed a slower reading speed for complex electronic texts (T=89,5; p=0,0097), boys – lower remembering (T=12; p=0,019) and comprehension (T=56; p=0,039). All the groups showed lower memorization quality of electronic texts compared to printed texts (T=292; p=0,024). Conclusion. The study results demonstrated that the text presentation format (electronic/print) influences the reading performance of primary and secondary school students. However, this influence is not uniform and depends on several factors, such as the content of the text, its complexity, age, gender, and individual psychological characteristics of the readers. The results highlight the importance of a selective approach to the use of electronic texts in school education.

Islamic Society in the Digital Era: The Role of Celebgrams in the Development of Generation Z in Lampung

Abstract The purpose of the research is to analyze and understand the role of Muslim celebrities/influencers in Lampung in shaping Islamic values in society for generation Z, promoting Islamic preaching through social media , contributing to the development of Islamic society amidst the challenges of globalization for generation Z. The research method uses qualitative with a phenomenological research type. The research location is in Bandar Lampung City. The research subjects are famous Muslim celebrities or influencers who live or have influence in the Lampung area, especially Bandar Lampung City, totaling 1 person. Data collection techniques are semi-structured interviews and non-participant observation. Data analysis includes several stages, namely data reduction (the process of determining, cutting attention, and simplifying data carried out by making an outline of the data that researchers obtain from the field); data presentation (in the form of descriptions or narrative texts); drawing conclusions (concluding that the given conclusions are temporary and can be changed if the supporting evidence is strong). The results of the study indicate that Muslim celebrities in Lampung, especially Els Warouw, play a significant role in shaping Islamic values among the younger generation. The use of social media as a platform for preaching allows celebrities to reach a wider audience in a creative and interactive way. Through interesting content such as educational videos, halal lifestyle inspiration, and motivational messages, celebrities have succeeded in encouraging active audience participation in religious discussions.

The Impact of the Zuvio Blended Literature Circle on EFL Students' Motivation and Self-Efficacy

This study investigates the integration of Zuvio Blended Literature Circle in English language instruction, focusing on enhancing learning motivation and self-efficacy among lower-intermediate students in large classrooms. The quasi-experimental research involved 105 university students over a semester, using mixed methods. Quantitative findings showed significant improvements in learning motivation (average scores rising from 75.07 to 81.91, p&amp;lt;.001) and self-efficacy (scores increasing from 90.11 to 94.70, p&amp;lt;.001). Qualitative data revealed enhanced classroom dynamics, with students showing greater initiative and supportive peer interactions. The incorporation of both expository and narrative texts enriched linguistic input and prompted discussions on various themes. Results indicate that the Zuvio Blended Literature Circle effectively addresses instructional challenges in large-class settings, significantly boosting students' motivation and self-efficacy in language learning. This study provides valuable insights for improving English education in similar contexts.

Improving the Reading Skills of Students with Mild Intellectual Disabilities through Repeated and Paired Reading Techniques

This study aims to analyze the effectiveness of fluent reading strategies, specifically "paired reading" and "repeated reading," on the development of reading skills of two students with mild intellectual disability. In the study, two fourth-grade students with mild intellectual disabilities participated in an intervention program aimed at improving their reading skills. Two 4th grade students, one girl and one boy, who attended the support education room as well as the regular classes of the primary school, were included in the intervention programme. The AB single-case design was utilized, as this design is the most commonly used for detecting the effects of. The study employed purposeful sampling to select participants based on specific criteria. The criteria for inclusion in the study were having a mild intellectual disability, attending the support class, and experiencing difficulty in reading and comprehension. The processes lasted for 7 weeks, equating to 35 class hours. Data were collected through instruments such as the Error Analysis Inventory, video recordings, narrative, and informative texts, and reading comprehension achievement tests. The results revealed improvements in students' word definitions, reading speeds, reading skills, and comprehension levels. These results suggest that the study recommends employing paired and repeated reading strategies to enhance the reading and comprehension skills of students facing reading and learning difficulties.

Fabricating a spiral of Islamophobia through Kashmir issue. A Critical Discourse Analysis on two Bollywood films

Since the 1930s, India, one of the worldly recognized democratic countries, has been successfully developing its film industry. Nowadays, Indian films, namely Bollywood films, are being watched throughout the world. But this industry has been noticed an aberration from its history of highly acclaimed film creation. Many films are banned in many Muslim countries, and many are taking part in widely controversial talks from internationally recognized film experts. As a national film industry, Bollywood is trying to show the problems existing in the disputed land of Kashmir. Apparently, the films are exploring what is happening in Kashmir and what has already happened there against the Hindu community, but the narrative and visuals of the film are explicitly Islamophobic. Here, the researcher has selected two Kashmir-related films purposively. This study will try to explore both the text and signs of the selected films in the light of critical discourse analysis. How used contents (signs and text) narrative, i.e., storyline are fabricating Islamophobic discourses will be examined critically to prove relationship among text, social condition, ideologies, and power.

Automated redaction of names in adverse event reports using transformer-based neural networks

Abstract Background Automated recognition and redaction of personal identifiers in free text can enable organisations to share data while protecting privacy. This is important in the context of pharmacovigilance since relevant detailed information on the clinical course of events, differential diagnosis, and patient-reported reflections may often only be conveyed in narrative form. The aim of this study is to develop and evaluate a method for automated redaction of person names in English narrative text on adverse event reports. The target domain for this study was case narratives from the United Kingdom’s Yellow Card scheme, which collects and monitors information on suspected side effects to medicines and vaccines. Methods We finetuned BERT – a transformer-based neural network – for recognising names in case narratives. Training data consisted of newly annotated records from the Yellow Card data and of the i2b2 2014 deidentification challenge. Because the Yellow Card data contained few names, we used predictive models to select narratives for training. Performance was evaluated on a separate set of annotated narratives from the Yellow Card scheme. In-depth review determined whether (parts of) person names missed by the de-identification method could enable re-identification of the individual, and whether de-identification reduced the clinical utility of narratives by collaterally masking relevant information. Results Recall on held-out Yellow Card data was 87% (155/179) at a precision of 55% (155/282) and a false-positive rate of 0.05% (127/ 263,451). Considering tokens longer than three characters separately, recall was 94% (102/108) and precision 58% (102/175). For 13 of the 5,042 narratives in Yellow Card test data (71 with person names), the method failed to flag at least one name token. According to in-depth review, the leaked information could enable direct identification for one narrative and indirect identification for two narratives. Clinically relevant information was removed in less than 1% of the 5,042 processed narratives; 97% of the narratives were completely untouched. Conclusions Automated redaction of names in free-text narratives of adverse event reports can achieve sufficient recall including shorter tokens like patient initials. In-depth review shows that the rare leaks that occur tend not to compromise patient confidentiality. Precision and false positive rates are acceptable with almost all clinically relevant information retained.

Differences in the Ability to Write Narrative Texts Using the Wattpad Application Media and Without Using the Wattpad Application Media in Grade VIII Junior High School Students

Purpose of the study: The purpose of this study was to determine the differences in the ability to write narrative texts using the Wattpad application media and without using the Wattpad application media in class VIII students of State Junior High School 01 North Bengkulu. Methodology: This study used a quantitative experimental method with a sample of 32 students of class VIII of State Junior High School 01 North Bengkulu, selected through purposive sampling. Data were collected through a narrative text writing test assessed based on content, text structure, effective sentences, diction, and spelling. Data analysis used Paired Sample t-Test. Main Findings: The results: (1) the ability to write narrative texts of class VIII students of SMP Negeri 01 Bengkulu Utara using the Wattpad application is in the good category with an average value of 78.8, (2) without using the Wattpad application, students' ability to write narrative texts is in the sufficient category with an average value of 55.0, and (3) there is a significant difference between the two groups. The results of the t-test show \( t_count = 8.048 &gt; t_table = 2.039 \) (p = 0.000 &lt; 0.05), so that the average writing ability with the Wattpad application is higher than without the application. Novelty/Originality of this study: This study offers a new perspective on the effectiveness of digital application media, such as Wattpad, in improving narrative text writing skills among Junior High School students, which has not been widely explored before in the context of Indonesian education.

Understanding Daily Care Experience Preferences Across the Lifespan of Older Adults: Application of Natural Language Processing.

Older adults are a heterogeneous group, and their care experience preferences are likely to be diverse and individualized. Thus, the aim of this study was to identify categories of older adults' care experience preferences and to examine similarities and differences across different age groups. The initial categories of older adults' care experience preferences were identified through a qualitative review of narrative text (n = 3134) in the ADVault data set. A natural language processing (NLP) algorithm was used to automatically and accurately define older adults' care experience preference categories. Descriptive statistics were used to examine similarities and differences in care experience preference categories across different age groups. The overall average performance of NLP algorithms was relatively high (average F-score = 0.88; range: 0.77-0.96). Through a qualitative review of 350 randomly selected texts, a total of 11 categories were identified. The most frequent category was music, followed by photographs, entertainment, family/friends, religion-related, atmosphere, flower/plants, pet, bed/bedding, hobby, and other. After applying the best performing NLP algorithm to each category, older adults' care experience preference categories were music (41.32%), followed by photographs (28.47%), entertainment (13.46%), religion-related (n = 12.69%), pet (12.22%), flower/plants (11.51%), family/friends (8.45%), atmosphere (7.75%), bed/bedding (6.12%), and hobby (5.45%). Young-old and old-old adults had similar care experience preferences with music being the most frequent category while old-old adults had photographs as the most frequent category for their care experience preference. Clinicians must understand the distinct categories of care experience preferences and incorporate them into personalized care planning.

Efficient analysis of drug interactions in liver injury: a retrospective study leveraging natural language processing and machine learning

BackgroundLiver injury from drug-drug interactions (DDIs), notably with anti-tuberculosis drugs such as isoniazid, poses a significant safety concern. Electronic medical records contain comprehensive clinical information and have gained increasing attention as a potential resource for DDI detection. However, a substantial portion of adverse drug reaction (ADR) information is hidden in unstructured narrative text, which has yet to be efficiently harnessed, thereby introducing bias into the research. There is a significant need for an efficient framework for the DDI assessment.MethodsUsing a Chinese natural language processing (NLP) model, we extracted 25,130 adverse drug reaction (ADR) records, dividing them into sets for training an automated normalization model. The trained models, in conjunction with liver function laboratory tests, were used to thoroughly and efficiently identify liver injury cases. Ultimately, we applied a case-control study design to detect DDI signals increasing isoniazid’s liver injury risk.ResultsThe Logistic Regression model demonstrated stable and superior performance in classification task. Based on laboratory criteria and NLP, we identified 128 liver injury cases among a cohort of 3,209 patients treated with isoniazid. Preliminary screening of 113 drug combinations with isoniazid highlighted 20 potential signal drugs, with antibacterials constituting 25%. Sensitivity analysis confirmed the robustness of signal drugs, especially in cardiac therapy and antibacterials.ConclusionOur NLP and machine learning approach effectively identifies isoniazid-related DDIs that increase the risk of liver injury, identifying 20 signal drugs, mainly antibacterials. Further research is required to validate these DDI signals.