Low Readiness Research Articles

Health facility availability and readiness for family planning and maternity and neonatal care services in Nepal: Analysis of cross-sectional survey data.

To determine the availability and readiness of health facilities to provide family planning, antenatal care and basic emergency obstetric and newborn care in Nepal in 2021. Secondary objectives were to identify progress since 2015 and factors associated with readiness. This is a secondary analysis of cross-sectional Nepal Health Facility Survey (NHFS) data collected in 2015 and 2021. The main outcome measures were availability and readiness of family planning, antenatal care, and basic emergency obstetric and newborn care services. Readiness indices were calculated using WHO-recommended service availability and readiness assessment (SARA) methods (score range 0 to 100%, with 100% indicating facilities are fully prepared to provide a specific service). We used independent t-tests to compare readiness indices in 2015 and 2021. Factors potentially associated with readiness (rurality setting, ecological region, managing authority, management meeting, quality assurance activities, and external supervision) were explored using multivariable linear regression. There were 940 and 1565 eligible health facilities in the 2015 and 2021 surveys, respectively. Nearly all health facilities provided family planning (2015: n = 919 (97.8%); 2021: n = 1530 (97.8%)) and antenatal care services (2015: n = 920 (97.8%); 2021: n = 1538 (98.3%)) in both years, but only half provided delivery services (2015: n = 457 (48.6%); 2021: n = 804 (51.4%)). There were suboptimal improvements in readiness indices over time: (2015-21: family planning 68.0% to 70.9%, p<0.001, antenatal care 49.5% to 54.1%, p<0.001 and basic emergency obstetric and newborn care 56.7% to 58.0%, p = 0.115). The regression model comprising combined datasets of both NHFSs indicates facilities with regular management meetings and/or quality assurance activities had significantly greater readiness for all three indices. Similarly, public facilities had greater readiness for family planning and basic emergency obstetric and newborn care while they had lower readiness for antenatal care. Readiness to deliver family planning, antenatal care and basic emergency obstetric and newborn care services in Nepal remains inadequate, with little improvement observed over six years.

Practical and ethical challenges of large language models in education: A systematic scoping review

AbstractEducational technology innovations leveraging large language models (LLMs) have shown the potential to automate the laborious process of generating and analysing textual content. While various innovations have been developed to automate a range of educational tasks (eg, question generation, feedback provision, and essay grading), there are concerns regarding the practicality and ethicality of these innovations. Such concerns may hinder future research and the adoption of LLMs‐based innovations in authentic educational contexts. To address this, we conducted a systematic scoping review of 118 peer‐reviewed papers published since 2017 to pinpoint the current state of research on using LLMs to automate and support educational tasks. The findings revealed 53 use cases for LLMs in automating education tasks, categorised into nine main categories: profiling/labelling, detection, grading, teaching support, prediction, knowledge representation, feedback, content generation, and recommendation. Additionally, we also identified several practical and ethical challenges, including low technological readiness, lack of replicability and transparency and insufficient privacy and beneficence considerations. The findings were summarised into three recommendations for future studies, including updating existing innovations with state‐of‐the‐art models (eg, GPT‐3/4), embracing the initiative of open‐sourcing models/systems, and adopting a human‐centred approach throughout the developmental process. As the intersection of AI and education is continuously evolving, the findings of this study can serve as an essential reference point for researchers, allowing them to leverage the strengths, learn from the limitations, and uncover potential research opportunities enabled by ChatGPT and other generative AI models. Practitioner notesWhat is currently known about this topic Generating and analysing text‐based content are time‐consuming and laborious tasks. Large language models are capable of efficiently analysing an unprecedented amount of textual content and completing complex natural language processing and generation tasks. Large language models have been increasingly used to develop educational technologies that aim to automate the generation and analysis of textual content, such as automated question generation and essay scoring. What this paper adds A comprehensive list of different educational tasks that could potentially benefit from LLMs‐based innovations through automation. A structured assessment of the practicality and ethicality of existing LLMs‐based innovations from seven important aspects using established frameworks. Three recommendations that could potentially support future studies to develop LLMs‐based innovations that are practical and ethical to implement in authentic educational contexts. Implications for practice and/or policy Updating existing innovations with state‐of‐the‐art models may further reduce the amount of manual effort required for adapting existing models to different educational tasks. The reporting standards of empirical research that aims to develop educational technologies using large language models need to be improved. Adopting a human‐centred approach throughout the developmental process could contribute to resolving the practical and ethical challenges of large language models in education.

Perception of readiness to manage COVID-19 among hospital workers: An individual, collective, and institutional process.

The coronavirus disease 2019 (COVID-19) pandemic has had adverse effects worldwide and has overwhelmed the health systems of many countries. Yet, to manage sanitary crises as COVID-19 pandemic, skills, commitment, and motivation of hospital workers are essential. However, most research on the preparedness of hospital workers for sani-tary crises shows a mismatch between their level of preparedness, their perceived preparedness, and the estimated needs to manage these situations. After a definition of the concepts mobilized in this study, actual preparedness, de-clared preparedness, perceived preparedness, and perceived readiness, this study aims to explore hospital workers readiness perception to manage a sanitary crisis upcoming (COVID-19 pandemic) and determinants of this perception. Four hundred and eight French hospital workers respond to an online survey containing 11 items about COVID-19. Var-iables studied concern perception of personal preparedness, colleagues' preparedness, and institutional preparedness. Results show that hospital workers have a relatively low readiness perception to manage COVID-19 before it came out. This study proposed a model explaining personal readiness perception to manage COVID-19, and the most important variables are as follows: colleague from the same hospital department (β = .37***), personal preparedness perception (β = .29***), perception of hospital human resources sufficient (β = .22**), perceived capacity for professional action (β = .097***), and perception of personal skills as sufficient (β = .11**). These results show that hospital workers did not feel ready, either individually or collectively, to manage the COVID-19 pandemic before it destabilized their hospital. The preparedness process is not an individual process, and it is necessary to emphasize its collective and institutional side. The results also show that preparedness would benefit from concentrating on exercises such as lessons learned (feedback sessions about the management of anterior sanitary crisis) and simulation exercises ***p < 0.001, ** p < 0.01.

Decontamination of surface water from organic pollutants using graphene membranes

In this paper, we deal with one of the most urgent and relevant topics nowadays, i.e., water pollution. The problem is finding a valid candidate for the absorption and removal of different kinds of pollutants commonly found in water. There are already some indications about graphene oxide as a potential candidate. In the present work, we take a step forward to show how graphene nanoplatelets (rather than the oxide form of this material) are capable of decontaminating water. In this starting step, we use a specific substance as a model pollutant, i.e., acetonitrile, leaving for the future steps, to extend the analysis to additional types of pollutants. In addition to laboratory-produced graphene nanoplatelets, we already examined in the past; now we wish to consider also commercially available ones, so that the new results will not be bound to a laboratory (low technology readiness level) material, but will become interesting also from the industrial point of view, thanks to the scalability of the nanoplatelets production. For this aim, we compare the performance of two types of filters based on two classes of nanomaterials, i.e., those produced by microwave and ultrasound assisted exfoliation, already analyzed in our earlier works, with those commercially distributed by an Italian company, i.e., NANESA, http://www.nanesa.com/. The latter is an innovative SME involved in the production of graphene-based nanomaterials. We focus here in the graphene nanoplatelets, commercially available in industrial batches (GXNan grades). The present study leads to determine which filtering membrane, among the various types of commercial graphene considered, shows the greatest stability, and the lack of breakage of the membrane, concentrating on such accessory features, given that all types of graphene showed excellent adsorption properties.

Telehealth Implementation Response to COVID-19 in the OneFlorida+ Clinical Research Network: Perspectives of Clinicians and Health Systems Leaders.

Introduction: The COVID-19 pandemic forced health systems worldwide to make rapid adjustments to patient care. Nationwide stay-at-home mandates and public health concerns increased demand for telehealth to maintain patients' continuity of care. These circumstances permitted observation of telehealth implementation in real-world settings at a large scale. This study aimed to understand clinician and health system leader (HSL) experiences in expanding, implementing, and sustaining telehealth during COVID-19 in the OneFlorida+ clinical research network. Methods: We conducted semistructured videoconference interviews with 5 primary care providers, 7 specialist providers, and 12 HSLs across 7 OneFlorida+ health systems and settings. Interviews were audiorecorded, transcribed, and summarized using deductive team-based template coding. We then used matrix analysis to organize the qualitative data and identify inductive themes. Results: Rapid telehealth implementation occurred even among sites with low readiness, facilitated by responsive planning, shifts in resource allocation, and training. Common hurdles in routine telehealth use, including technical and reimbursement issues, were also barriers to telehealth implementation. Acceptability of telehealth was influenced by benefits such as the providers' ability to view a patient's home environment and the availability of tools to enhance patient education. Lower acceptability stemmed from the inability to conduct physical examinations during the shutdown. Conclusions: This study identified a broad range of barriers, facilitators, and strategies for implementing telehealth within large clinical research networks. The findings can contribute to optimizing the effectiveness of telehealth implementation in similar settings, and point toward promising directions for telehealth provider training to improve acceptability and promote sustainability.

The Impact Of Education Level, Accountancy Comprehension, And Readiness Level Of Micro, Small, And Medium Enterprises (MSMES) In Central Jakarta On The Preparation Of Financial Reports Based On SAK EMKM

This research analyzes the relationship between education level, accounting understanding, and readiness level of micro, small, and medium enterprises (MSMEs) in Central Jakarta in the activity of preparing financial reports according to SAK EMKM. The research is based on the importance of preparing financial reports to support MSMEs and enhance access to capital and markets. However, many MSMEs face difficulties in preparing financial reports, especially due to the low education level, accounting knowledge, and readiness to adopt SAK EMKM. The research employed a survey method, with 260 respondents from MSMEs in Central Jakarta. Data analysis was conducted using multiple regression. The results show that education level and accounting abilities have a significant influence on the ability to prepare financial reports according to SAK EMKM. Furthermore, readiness level does not have a significant influence on the skills of MSMEs in preparing financial reports. Therefore, MSMEs need to improve their education and accounting understanding to effectively prepare financial reports in accordance with SAK EMKM.

Developing Differentiated Learning Devices to Heighten Student Learning Outcome on Light Concepts at SMP Negeri 1 Kwandang

Research development aims to produce differentiated learning tools that are valid, practical, and effective on the sub-theme of Light. The research model uses the ADDIE model. The research was carried out in one of the North Gorontalo Regency Middle Schools in the 2021/2022 academic year. The results of the research show that the differentiated learning tools developed meet the valid, practical, and effective requirements. The average percentage of expert validation results on RPP, LKPD, teaching materials, and learning achievement test instruments with respective categories is around 94%, 94%, 90%, and 90%. The results of the analysis of the implementation of learning and learning activities of students on good criteria were around 96% and 94%, respectively, and the percentage of students' responses in the trial was around 93%. The mean final test score of learning outcomes for each differentiated group has increased, namely for students with high learning readiness (79.43), moderate learning readiness (81.06), and low learning readiness (80.68) with an average percentage of student learning completeness about 94%. Furthermore, the mean N-Gain results of the three differentiated groups were in the high category, above 0.7. with the respective results for groups with high learning readiness at 0.74, groups with moderate learning readiness at 0.77, and groups with low learning readiness at 0.77.

An empirical study to evaluate the student competency of vocational education

The low work readiness of vocational education (VE) graduates is caused by a mismatch of competencies with job demands. The unemployment rate for VE graduates is increasing due to low competency mastery and job absorption. The purpose of this study is to determine the competency needs of architectural engineering graduates according to the current demand for the construction industry. The research sample consisted of 193 respondents consisting of VE teachers and practitioners from the construction industry in Indonesia. The Covariance-Based Structural Equation Modeling (CB-SEM) analysis is used for the evaluation of the structural models of architectural engineering competency demands. The results of the analysis test using Confirmatory Factor Analysis (CFA) show that the construct validity of the evaluation model is in a good category. The evaluation model testing met the statistical criteria of goodness of fit. The model substantially explains 89.75% of the various competencies that must be mastered by architectural engineering graduates and suitable for use in Indonesia and other countries.

Malaysian non-Arabic speaking learners' readiness in a virtual second language learning environment

Readiness is an important indicator of learners' willingness to engage productively in a virtual learning environment. Low readiness is believed to be the main reason behind virtual learning failure. The purpose of this present study is to investigate the effects of online readiness on learners’ learning satisfaction and performance in a virtual second language learning environment on a sample of 203 Malaysian Non-Arabic Speaking Learners using a cross-sectional survey. This study further explored which dimension of readiness is found to be the strongest predictor of their level of satisfaction and performance. Partial least square structural equation modeling (PLS-SEM) analysis examined the predictive relationships between readiness, satisfaction, and performance. The results proved that online readiness was statistically a significant predictor of their learning satisfaction and performance, indicating computer and internet self-efficacy in performing activities in the virtual learning environment as the strongest predictor. By identifying the most influential predictors, this groundbreaking study recognizes which key elements of the virtual learning environment language learners would need more to relish learning and achieve their goals. This study offers critical insights that have not been previously explored by conducting a comprehensive analysis of the factors influencing learning satisfaction and performance. The findings, therefore, highlight the paramount importance of assessing the readiness of online learners and their learning environment, providing valuable guidance for higher education institutions seeking to enhance the success of VLLE. In addition, this study sets a precedent for future research in the field. It underscores the need for ongoing efforts to improve virtual language learning environments to serve students’ needs better.

The Effect of Project Names on Escalation of Commitment in Information Systems Projects

This study explores how project names may influence the tendency to escalate commitment through two experiments. Our findings from Experiment 1 show that a positive project name evokes positive affective reactions to the project. These, in turn, are associated with a greater willingness to continue a failing project. Results from Experiment 2 show that a technological project name can similarly evoke more positive affective reactions and a greater willingness to continue but only for decision makers with high technology readiness. For decision makers with low technology readiness the effect was reversed.

Overview of Life Cycle Assessment of Current Emerging Technologies

For its potential to facilitate the development of cutting-edgetechnologies with enhanced environmental performances,projected useat basic levels of life cycle analysis (LCA)technological readiness levels (TRL) has attracted enormousinterest in recent literature. But the normal LCA standardsfind it very difficult to evaluate developing technologies,necessitating methodological advancements in the presentLCA framework due to inadequate data, questionablefunctioning, scale-up problems, and uncertainties. We reviewpublished literature in this paper to identify majormethodological challenges and key research efforts to addressthese issues, with a focus on recent developments in five keyareas: cross-study comparability, data availability and quality,scale-up issues, uncertainty and uncertainty communication,and assessment time. Additionally, we provide a number ofsuggestions for further study to assist in the assessment of newtechnologies at low technical readiness level: (1) the creation of auniform framework and reporting procedures for life cycleassessments (LCAs) of developing technologies; (2) theincorporation of additional tools with LCA; and (3) the creation of adata repository for cutting-edge materials, procedures, andtechnologies. Decision-making techniques, such as multicriteriadecision analysis, risk analysis, and techno-economic analysis.

Smartphone-Enabled Web-Based Simulation of Cellular Neurophysiology for Laboratory Course and its Effectiveness.

The introduction of computer simulations has enhanced the teaching of neurobiology. Many simulators for personal computers are available, but in countries where schools have low school information and communication technology readiness, it is difficult to introduce computer simulations. Even in such countries, however, students often have their own smartphones and are good at operating them. Therefore, we have developed five web-based simulators that cover a wide range of neurophysiology, including single and whole-cell channel currents, membrane potentials and generation and conduction of action potentials using HTML5 and JavaScript. These simulators may be run free of charge on any device, regardless of the model or OS, thereby enabling schools that have no experience in introducing simulations to introduce them easily. These simulators were especially useful in many schools during COVID-19 restrictions. In this paper, we explain the functions of the simulators we have developed and introduce some practical examples. To verify the usefulness of the simulators, we also conducted a survey in the classrooms in which the simulators were used. Understanding and motivation to learn was shown to increase significantly, indicating that these are useful for neurobiology education.

Building awareness, interest, and readiness towards college course through work immersion

Work immersion is required before graduation for senior high school students that aims to prepare the students for college life, particularly for humanities and social sciences (HUMSS) students. Despite the restriction in face-to-face classes and prohibiting industry-based experience, teachers need to build the students’ awareness, ignite their interest and uplift their readiness for college courses. So, teachers decided to implement work immersion via a blended modality wherein students experience school-based and online work immersion. This study aimed to build the HUMSS students’ awareness, interest, and readiness for college courses. A practical action research design was utilized to measure the variables before and after the work immersion implementation. Hence, survey questionnaires and interviews were the data collection tools employed to collect both quantitative measures and qualitative descriptions of experiences. The findings show that the students have low awareness, interest, and readiness for their preferred college courses before implementing work immersion in a blended modality. However, after two months of implementation, all variables become high and significant differences exist before and after the implementation. The work immersion using a blended modality effectively increased students’ awareness, interest, and readiness for college courses. However, they suggested having more webinars and activities, more learning materials, frequent face-to-face interactions, parents’ involvement during the webinar, and a student committee for communication.

Robotic Process Automation in Small Enterprises: An Investigation into Application Potential

Substantial application potential in enterprises is commonly attributed to Robotic Process Automation (RPA). This potential encompasses automation of routine tasks, improvement of data quality, improvement of process stability, or reduction of monotonous tasks. However, our observation from projects with enterprises is that this potential is visible in bigger companies, but not so obvious in small and medium-sized enterprises (SMEs). SMEs often show a lower readiness to invest time and resources in new technologies and, thus, hesitate to explore new technology applications unless they see a clear business case. This article investigates the application potential of RPA in SMEs by trying to identify typical application scenarios with potentially high benefits that SMEs should focus on. The application potential is primarily addressed from a qualitative perspective, i.e., the aim is not to quantify the potential but to qualify the application fields. The contributions of this article are (1) a structured literature review of the state of RPA use in SMEs, (2) RPA application scenarios visible in the literature and functionality of RPA platforms to support these scenarios, and (3) experiences from implementing three SME-focused use cases with off-the-shelf RPA tools and a concluding evaluation by experts.

Strategi Seorang Ibu Dalam Merawat Bayi Baru Lahir Di Tengah Pandemi Covid-19 (Studi Kasus Keluarga Ibu Alfiatul Maulidah Desa Grenden Puger Jember)

The COVID-19 pandemic has had an impact on society. Things that need to be considered include maintaining a safe distance (physical distancing), wearing masks, and washing hands frequently with soap and running water. Problems in newborns can be minimized by caring for newborns by a mother or her family, which cannot be separated from the role and support of health workers in improving the ability to care for babies. Newborns (BBL) are very susceptible to infections caused by exposure to viruses and germs during labor and shortly after birth. Inappropriate BBL care can cause health problems in infants and even death. The error was due to the lack of knowledge and low readiness of mothers about infant care, in addition to the activity of the Toddler Posyandu being temporarily postponed during the pandemic, information related to the growth and development of infants and toddlers was less than optimal. The results of activities regarding newborn care during this pandemic show satisfaction from the target families. Mothers who have newborns can understand and understand proper newborn care.

Transition readiness in adolescents and young adults with chronic genetic skin conditions.

Healthcare transition (HCT) refers to movement from pediatric to adult healthcare models. Lack of HCT preparation contributes to poor health outcomes. This study measures readiness to transition in individuals with genetic skin conditions. Participants signed IRB-approved consents/assents. Participants ages 14-22 years with genetic skin disorders were surveyed with measures of QoL (Children's Dermatology Life Quality Index/CDLQI or DLQI) and HCT readiness using the Transition Readiness Assessment Questionnaire (TRAQ) and adapted non-validated measures of Skin Knowledge and Psychosocial Factors (5 = highest readiness). Mean TRAQ was compared with historical data on controls and other chronic conditions (t-tests) and correlated (Pearson) with Skin Knowledge and Psychosocial. Multivariable regression compared demographics and QoL with transition readiness. A total of 45 participants were enrolled (mean age 17.8 years, 67% female, 71% White; disorders of cornification [n = 31], ectodermal dysplasias [n = 7], epidermolysis bullosa [n = 4], tuberous sclerosis [n = 3]). Mean TRAQ (3.3 ± 0.9) was lower than controls (3.9; p < .001) and some chronic disorders (sickle cell [3.7; p < .05], type 1 diabetes [3.7; p < .01]), but higher than with spina bifida (2.8; p < .001) and congenital heart disease (2.9; p < .01). Mean Skin Knowledge was 4.2 ± 1.0, and mean Psychosocial was 3.4 ± 0.8. TRAQ correlated strongly with Skin Knowledge (r = .61; p < .05), but not Psychosocial (r = .12; p = .6). Ages 14-17 years versus 18-22 years and public versus private insurance predicted lower TRAQ scores. Poor DLQI predicted higher TRAQ and Skin Knowledge, but poor DLQI and CDLQI predicted lower Psychosocial. Adolescents and young adults with genetic skin disorders demonstrated low transition readiness, especially among younger-aged and lower socioeconomic groups. We recommend a HCT intervention to improve health outcomes.

Integrating Civic Engagement Into a Lifestyle Intervention for Rural Women - A Mixed Methods Process Evaluation.

The present study aimed to evaluate the implementation of a civic engagement curriculum (HEART Club) designed to catalyze positive environmental change in rural communities. The HEART Club curriculum was integrated into a six-month community-based health behavior intervention to reduce cardiovascular disease risk. Participants were recruited from eight rural towns in Montana and New York. 101 midlife and older women. Participants worked to address an issue related to their local food or physical activity environment and establish progress monitoring benchmarks. Evaluation components included after-class surveys, program leader interviews (n = 15), participant focus groups (n = 8), and post-intervention surveys. Intervention sites reported high fidelity (78%) to the curriculum. Average attendance was 69% and program classes were rated as highly effective (4.1 out of 5). Despite positive participant feedback, low readiness for civic engagement and insufficient time were implementation challenges. The majority of HEART Club groups had accomplished two or more benchmarks post-intervention. Facilitators of progress included community support, effective leadership, and collective effort. Participants also indicated that trying to affect community change while simultaneously making personal health improvements likely stalled initial progress. These findings highlight the potential and challenges associated with civic engagement within the context of rural lifestyle interventions. Future implementation efforts should focus on reframing civic engagement as an approach to support and maintain behavior change.

Ground Zero in Lifestyle Medicine: Changing Mindsets to Change Behavior.

The aspiration of lifestyle medicine practitioners is a healthy population engaged daily in lifestyle behaviors that generate the vitality needed to live a good life. That said, we are aware that there is a high population prevalence of low readiness to change behavior. This article proposes that we can improve readiness to change by shifting our expert mindsets to coaching mindsets. We focus first on helping others mobilize resources that improve readiness to change, including motivation and confidence-rather than beginning with expert education and training on new skills and behaviors. We call this coaching activity tilling the (patient's) ground, which then germinates an interest in a mindset shift from an unresolved state (e.g., I don't have time to exercise) to a new state (e.g., I might feel better and be more productive, if I exercise). In a generative conversation, moving from unresolved to resolved improves confidence in behavior change. This mindset shift is called integration-connecting and integrating an unresolved state to new thoughts, ideas, or perspectives (the ah-hah experience). We use the ground zero metaphor in multiple ways, and invite readers to till their own ground, generate potential, and enable integration as role models.

A Systematic Review of Syngas Bioconversion to Value-Added Products from 2012 to 2022

Synthesis gas (syngas) fermentation is a biological carbon fixation process through which carboxydotrophic acetogenic bacteria convert CO, CO2, and H2 into platform chemicals. To obtain an accurate overview of the syngas fermentation research and innovation from 2012 to 2022, a systematic search was performed on Web of Science and The Lens, focusing on academic publications and patents that were published or granted during this period. Overall, the research focus was centered on process optimization, the genetic manipulation of microorganisms, and bioreactor design, in order to increase the plethora of fermentation products and expand their possible applications. Most of the published research was initially funded and developed in the United States of America. However, over the years, European countries have become the major contributors to syngas fermentation research, followed by China. Syngas fermentation seems to be developing at “two-speeds”, with a small number of companies controlling the technology that is needed for large-scale applications, while academia still focuses on low technology readiness level (TRL) research. This systematic review also showed that the fermentation of raw syngas, the effects of syngas impurities on acetogen viability and product distribution, and the process integration of gasification and fermentation are currently underdeveloped research topics, in which an investment is needed to achieve technological breakthroughs.

Exploring Students’ Readiness in Blended Leraning in EFL Context

Nowadays, technology is widely viewed as a platform in EFL teaching that integrates online and offline. Although much of the study investigates the Blended Learning method in EFL teaching, relatively little empirical evidence reports students' readiness for Blended Learning. To fill this gap, this study is aimed to know how students' readiness for Blended Learning is situated in the Senior High School context. Grounded in qualitative research with survey design, this survey is distributed to 108 students from SMAN l Indramayu in the academic year 2021 / 2022. This research showed that students have low readiness levels in the English language Blended Learning in which they scored 2.71 out of 4.00. These indicate that senior high school students are not ready to learn English using Blended Learning. This can be seen from the students' attitude. The student's attitude showed that 1). most students want to access the teaching materials and the English lessons without limits of time and place. 2). most students felt that they got bored when studying online. 3). most of them stated they missed assignment due dates in an online learning activity. 4). most students said they like the fast feedback when they meet their teacher in person. However, they have a positive opinion Web is a helpful platform for learning.