learning readiness
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2022 ◽  
Vol 46 (1) ◽  
Humayun Kabir ◽  
Tajrin Tahrin Tonmon ◽  
Md. Kamrul Hasan ◽  
Lila Biswas ◽  
Md. Abul Hasnat Chowdhury ◽  

Abstract Background The COVID-19 pandemic jeopardized the traditional academic learning calendars due to the closing of all educational institutions across the globe. To keep up with the flow of learning, most of the educational institutions shifted toward e-learning. However, the students’ e-learning preference and e-learning readiness did not identify, particularly among the Bangladeshi female nursing students, where those can pose serious challenges. A cross-sectional study was carried out among the female nursing students between December 26, 2020, and January 11, 2021. A total of 237 students were recruited who have enrolled in e-learning at least the last 30 days of the participation. Multivariable linear regression models were fitted to find the association of students’ preference, e-learning readiness domains, and other variables. Results A cross-sectional study was conducted among the female nursing students to assess perceived e-learning readiness in the subdomains of readiness; availability, technology use, self-confidence, acceptance and training. The findings of the study revealed that the prevalence of preference for e-learning was 43.46%. The students did not prefer e-learning compared to ‘prefer group’ has significantly less availability of technology (β = − 3.01, 95% CI − 4.46, − 1.56), less use of technology (β = − 3.08, 95% CI − 5.11, − 1.06), less self-confidence (β = − 4.50, 95% CI − 7.02, − 1.98), less acceptance (β = − 5.96, 95% CI − 7.76, − 4.16) and less training need (β = − 1.86, 95% CI − 2.67, − 1.06). The age, degree, residence, parents’ highest education, having a single room, and having any eye problems were significantly associated with the variation of availability of technology, use of technology, self-confidence, acceptance, and training need of e-learning. Conclusions The outcomes of the study could be helpful while developing an effective and productive e-learning infrastructure regarding the preparedness of nursing colleges for the continuation of academia in any adverse circumstances like the COVID-19 pandemic.

2022 ◽  
pp. 477-498
Ferit Karakoyun ◽  
Bülent Basaran

The purpose of this study was to identify the online learning readiness profiles of university students during the COVID-19 pandemic and to explain their profile membership through their background characteristics. For this purpose, data were collected from a total of 330 university students studying at a state university, and latent profile analysis (LPA) was conducted on these data. As a result of the analyses, two student profiles were identified as “high e-learning readiness” and “low e-learning readiness.” Other findings obtained in the study revealed that student family income level, mother's education level, time and purpose of the internet use, having a computer or not, and their views on whether e-learning compensated for face-to-face education during the COVID-19 pandemic process explained the differences in the probabilities profile membership. On the other hand, gender and father's education level were found to have no relationship with profile membership. The findings were discussed in line with the related literature.

2021 ◽  
Vol 3 (1) ◽  
pp. 84-104
I Komang Sucandra

This research was motivated by the phenomenon that the learning readiness of the fifth grade students of public elementary schools in the Raden Intan cluster was low. The research aimed to determine the influence of learning motivation and parents’ attention on students’ learning readiness. In this research the writer used ex-post facto research. The population of this research consisted 132 students with a sample 56 students who was taken by using probability sampling techniques, namely proportionate stratified random sampling. The data collecting techniques used in this research were observation, interviews, and questionnaires. The data analysis used simple linear regression formula and multiple linear regression. The results showed a positive and significant influence of learning motivation and parents’ attention toward students’ learning readiness at the fifth grade of elementary school.

2021 ◽  
Vol 9 (4) ◽  
pp. 921
Chairini Fathonah ◽  
Ayunda Ramadhani

Penelitian ini bertujuan untuk mengetahui pengaruh persepsi siswa tentang kinerja guru dan kesiapan belajar siswa terhadap prestasi belajar siswa SMA Hidayatullah Bontang. Penelitian menggunakan pendekatan kuantitatif. Subjek penelitian adalah 100 siswa yang dipilih menggunakan teknik total sampling. Metode pengumpulan data adalah nilai rapor untuk prestasi belajar dan skala untuk persepsi siswa tetang kinerja guru dan kesiapan belajar. Analisis data dengan uji analisis regresi berganda menggunakan bantuan program Statistical Package for Social Sciences (SPSS) 25.0 for windows. Hasil penelitian ini menunjukkan bahwa: (1) ada pengaruh yang signifikan antara persepsi siswa tentang kinerja guru dan kesiapan belajar terhadap prestasi belajar siswa SMA dengan nilai diperoleh F hitung > F tabel (11.059 > 3.09) dan nilai p = 0.000 (p < 0.05). Kontribusi pengaruh (R2) sebesar 0.323 (32.3 persen); (2)Terdapat pengaruh signifikan persepsi siswa tentang kinerja guru terhadap prestasi belajar dengan koefisien nilai beta = 0.496, t hitung > t tabel (3.176 > 1.984) dengan nilai p = 0.000, (p < 0.05); (3) ada pengaruh signifikan kesiapan belajar dengan prestasi belajar dengan koefisien nilai beta = 0.520, t hitung > t tabel (2.102 > 1.984) dan nilai p = 0.000 (p < 0.05). This study aims to determine the effect of student perceptions of teacher performance and student learning readiness on student achievement at Hidayatullah Bontang High School. The research uses a quantitative approach. The research subjects were 100 students who were selected using total sampling technique. Data collection methods are report cards for learning achievement and a scale for students' perceptions of teacher performance and learning readiness. Data analysis using multiple regression analysis using the Statistical Package for Social Sciences (SPSS) 25.0 for windows program. The results of this study indicate that: (1) there is a significant effect between students' perceptions of teacher performance and learning readiness on high school students' learning achievement with the value obtained by F arithmetic > F tabel (11.059 > 3.09) and p value = 0.000 (p < 0.05) . The influence contribution (R2) is 0.323 (32.3 percent); (2) There is a significant effect of students' perceptions of teacher performance on learning achievement with a coefficient of beta = 0.496, t count > t tabel (3.176 > 1.984) with p value = 0.000, (p < 0.05); (3) there is a significant effect of learning readiness with learning achievement with a coefficient of beta = 0.520, t count > t tabel (2.102 > 1.984) and p value = 0.000 (p < 0.05).

Dyah Sugandini ◽  
Trestina Ekawati ◽  
Rahajeng Arundati ◽  
Holimin Holimin

Penelitian ini bertujuan untuk menganalisis kembali intention to use e-learning yang dipengaruhi oleh e-learning readiness, innovation, performance expectancy dan perceived usefullness. perceived usefullness memediasi hubungan antara e-learning readiness dan innovation terhadap intention to use e-learning. Penelitian ini memiliki jumlah sampel sebanyak 31 perguruan tinggi di Yogyakarta. Partial Least Square digunakan untuk menguji hipotesis pada penelitian kuantitatif ini. Hasil uji menemukan bahwa intention to use e-learning secara positif dan signifikan dipengaruhi oleh e-learning readiness, innovation, performance expectancy dan perceived usefulness. Perceived usefulness secara positif dan signifikan memediasi hubungan antara antara e-learning readiness dan innovation terhadap intention to use e-learning.

2021 ◽  
Moch. Bambang Sulistio ◽  

As the global pandemic of COVID-19 spreads enormously, educational institutions were forced to close down in most countries, affecting 91% of pupils and causing massive disruption to the education sector. In Indonesia, 62, 5 million students from pre-primary to higher education are forced to shift from conventional learning to a complete move into e-Learning. This study sought to explore students' readiness to cope with online learning both in urban and rural areas of Indonesia and to find the relation whether socio-economic factors during pandemic affect their e-learning readiness. The theory underpinning the study was the e-Learning Readiness theory which measures eight dimensions: human resource, financial, technological, equipment, content, psychological, sociological, and environmental readiness. An online survey was conducted, and a total of 1.260 million students in urban and 846 students in rural areas participated in the study. The data were analyzed using multiple regression and confirmatory factor analysis (CFA). This study reveals that students in urban areas are categorized as ready, but they need improvements in several aspects with the readiness index 3, 47. In contrast, students are not ready in rural areas and need several improvements with index 3,01. The study also highlights that basic IT skills competencies are critical for the preparedness of e-learning and should be taught to students. Future studies could analyze whether ICT training will significantly impact their perceives and acceptance of students' e-learning readiness, especially in rural areas, after training has been conducted.

Jamaris ◽  
Hendra Hidayat ◽  
Anggarda Paramita Muji

The use of mobile learning applications in current conditions and the challenges of learning in the digital era has become a necessity and cannot be avoided for efficiency and effectiveness in learning anywhere and anytime. This study aims to analyze the Effect of Learning Readiness and Community Learning Toward Technology Management and Mobile Learning. Besides that, it also looks at how effective the application of mobile learning applications is in learning. This research is quasi-experimental research. The research design used is a posttest-only design, with a sample of 150 people and selected by proportional stratified random sampling technique. Data were analyzed using one-way Multivariate Analysis of Variance (One-way MANOVA). Analysis of the implementation of the mobile learning application using descriptive statistics. The results of this study reveal that community learning and readiness to learn together can be factors that influence student mobile learning and technology management. The application of Technology Management and Mobile Learning is very helpful in overcoming educational gaps and barriers in society and higher education, the results of the use of mobile learning applications have a very effective impact on the education process for better quality education.

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