scholarly journals Eksperimentasi model PBL dan PjBL berbasis schoology terhadap pemecahan masalah matematika ditinjau dari self-efficacy

2020 ◽  
Vol 6 (2) ◽  
pp. 87
Author(s):  
Maylita Hasyim ◽  
Novia Frisda Eldiana
Keyword(s):  
Self Efficacy ◽  
E Learning

Tujuan penelitian ini adalah untuk menganalisis: (1) perbedaan kemampuan pemecahan masalah matematika antara model PBL dan P<sub>J</sub>BL berbasis <em>e-learning </em>berbantuan <em>schoology</em>, (2) kemampuan pemecahan masalah matematika antara tingkat <em>self-efficacy </em>tinggi, sedang, dan rendah, dan (3) interaksi antara model PBL dan P<sub>J</sub>BL berbasis <em>e-learning </em>berbantuan <em>schoology </em>dengan <em>self-efficacy </em>terhadap kemampuan pemecahan masalah matematika. Metode penelitian yang digunakan dalam penelitian ini adalah kuantitatif. Populasi yang digunakan dalam penelitian ini adalah kelas X MIPA SMAN 1 Pakel dan sampel yang digunakan adalah kelas X MIPA 4 dan 5 yang berjumlah 53 siswa. Teknik pengumpulan data yang digunakan adalah angket dan tes. Analisis data yang digunakan adalah uji normalitas dan uji homogenitas sebagai uji prasyarat. Uji hipotesis yang digunakan adalah analisis variansi dua jalur dan dilanjutkan dengan uji komparasi untuk mengetahui perbandingan antara klasifikasi <em>self-efficacy </em>terhadap kemampuan pemecahan masalah. Berdasarkan hasil penelitian diketahui bahwa: (1) Tidak terdapat perbedaan antara model PBL dan P<sub>J</sub>BL berbasis <em>e-learning </em>berbantuan <em>schoology </em>terhadap kemampuan pemecahan masalah matematika dimana F<sub>htung </sub>lebih kecil dari F<sub>tabel</sub> (0,290 &lt; 5,361); (2) Terdapat perbedaan antara klasifikasi <em>self-efficacy </em>siswa terhadap kemampuan pemecahan masalah matematika dimana F<sub>htung </sub>lebih besar dari F<sub>tabel</sub> (41,693 &lt; 3,994); dan (3) Tidak terdapat interaksi antara model PBL dan P<sub>J</sub>BL berbasis <em>e-learning </em>berbantuan <em>schoology </em>ditinjau dari <em>self-efficacy </em>siswa terhadap kemampuan pemecahan masalah matematika dimana F<sub>htung </sub>lebih kecil dari F<sub>tabel</sub> (0,216 &lt; 3,994).

scholarly journals Exploring the relationship between students' learning satisfaction and self-efficacy during the emergency transition to remote learning amid the coronavirus pandemic: A cross-sectional study

2021 ◽  
Author(s):  
Monira I. Aldhahi ◽  
Abdulfattah S. Alqahtani ◽  
Baian A. Baattaiah ◽  
Huda I. Al-Mohammed
Keyword(s):  
Online Learning ◽  
Time Management ◽  
Self Efficacy ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Learning Satisfaction ◽  
High Satisfaction ◽  
E Learning ◽  
Students Satisfaction ◽  
Remote Learning

AbstractThe overarching objective of this study was to assess learning satisfaction among students and to determine whether online-learning self-efficacy was associated with online learning satisfaction during the emergency transition to remote learning. This cross-sectional study involved a survey distributed to 22 Saudi Arabian universities. The survey used in this study consisted of an online learning self-efficacy (OLSE) questionnaire and an electronic learning (e-learning) satisfaction questionnaire. A total of 1,226 respondents voluntarily participated in and completed the survey. Students in medical fields made up 289 (23.6%). A Kruskal–Wallis H test and a chi-square test were used to compare the student’s satisfaction based on the educational variables. Spearman’s correlation and multiple linear regression analyses were performed to assess the association between self-efficacy and satisfaction. The findings revealed degrees of satisfaction ranging between high satisfaction and dissatisfaction. The majority of students (51%) expressed high satisfaction, and 599 students (49%) reported experiencing a low level of satisfaction with e-learning. A comparison of groups with low and high satisfaction scores revealed a significant difference in the OLSE. High satisfaction was positively correlated with the OLSE domains: time management, technology, and learning. The OLSE regression analysis model significantly predicted satisfaction. It showed that the model, corrected for education level and grade point average of the students, significantly predicted e-learning satisfaction (F = 8.04, R2 = 0.59, p = .004). The study concluded that students’ satisfaction with the e-learning experience is influenced by e-learning self-efficacy. The study’s findings lead to the practical implications and identify the need to improve the remote learning, time management and technology self-efficacy to enhance students’ satisfaction.

scholarly journals Factors Affecting Students’ Preferences for Online and Blended Learning: Motivational Vs. Cognitive

2020 ◽  
Vol 22 (2) ◽  
pp. 72-86 ◽  
Author(s):  
Sinan Keskin ◽  
Halil Yurdugül
Keyword(s):  
Learning Environment ◽  
Blended Learning ◽  
Learning Environments ◽  
Self Efficacy ◽  
Teaching And Learning ◽  
Learning Motivation ◽  
Task Value ◽  
Individual Factors ◽  
E Learning ◽  
The Individual

AbstractToday’s educational institutions are expected to create learning opportunities independent of time and place, to offer easily accessible learning environments and interpersonal communication opportunities. Accordingly, higher education institutions develop strategies to meet these expectations through teaching strategies, such as e-learning, blended learning, mobile learning, etc., by using teaching technologies. These new technology-based teaching strategies are mainly shaped by decision-makers in education. This study seeks to analyse the individual factors that affect learners’ mode of teaching and learning delivery preferences. In this study, blended and online learning is considered as preferences of learners’ mode of teaching and learning delivery. The individual factors discussed in this research are cognitive learning strategies, e-learning readiness, and motivation. The data were obtained from the pre-service teachers at the end of the academic semester when they experienced online and blended learning. Data were analysed using optimal scaling analysis. The analysis method provides a two-dimensional centroid graph which shows the correlations between the variable categories. According to study findings, there is a correlation between the preferences of the learning environment, and the constructs of self-efficacy, e-learning motivation, and task value. It can be said that the motivational variables are more effective in the learning environment preference. The students with high task value, e-learning motivation, and self-efficacy preferred studying in blended learning environments. Cognitive strategies, self-directed learning, learner control, and test anxiety factors are independent of the learners’ learning delivery preferences.

scholarly journals The effect of learning style and general self-efficacy on satisfaction of e-Learning in dental students

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tahereh Baherimoghadam ◽  
Shahram Hamedani ◽  
Manoosh mehrabi ◽  
Navid Naseri ◽  
Nooshin Marzban
Keyword(s):  
Online Education ◽  
Learning Style ◽  
Significant Relationship ◽  
Self Efficacy ◽  
Dental Students ◽  
Dental Student ◽  
Satisfaction Questionnaire ◽  
Level Of Satisfaction ◽  
E Learning ◽  
General Self Efficacy

Abstract Introduction The COVID-19 pandemic has had a significant impact on education. e-Learning has been becoming most popular. Satisfaction of the student is one of important goal of e-Learning, therefore factors affecting this satisfaction should be considered extensively. This study aims to evaluate the effect of learning style and General Self-Efficacy (GSE) on satisfaction of e-Learning in dental student. Method Electronic questionnaires were sent to 85 fifth and sixth-year students who had passed the face-to-face orthodontics course in the previous semester and were studying online orthodontics at the time of this study. Three questionnaires were used including Soloman and Felder learning styles index, General self-efficacy questionnaire and Satisfaction questionnaire for online education. Results The results of the reliability test showed that Cronbach’s alpha index for the self-efficacy and satisfaction questionnaire was 0.836 and 0.96, respectively. The correlation between satisfaction and the dimensions of learning style showed that the active dimension of processing information had a significant relationship with the level of satisfaction. In the understanding dimension, a relatively strong correlation was observed in the Global dimension. Moderate significant relationship between the total score of self-efficacy and the level of satisfaction has been found. Conclusion The results of the present study highlight the necessity of more studies regarding defining effective on student satisfaction during e-Learning. GSES and active learning style in the processing dimension and global learning style in the understanding dimension affect students' satisfaction.

Business Process Reengineering of Digital Learning Ecosystems

2022 ◽  
pp. 123-141
Author(s):  
Heru Susanto ◽  
Fadzliwati Mohiddin ◽  
Leu Fang-Yie ◽  
Muhammad Syamim Sanip ◽  
Alifya Kayla Shafa Susanto ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Self Efficacy ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Digital Learning ◽  
Perceived Ease Of Use ◽  
Technology Acceptance Models ◽  
Higher Institution ◽  
E Learning

This study was conducted to investigate e-learning acceptance and factors influencing higher institution students in Brunei Darussalam. Among the factors involved in this study were perceived ease of use, perceived usefulness, self-efficacy, technology availability, and usage and intention to use. Technology acceptance models (TAM) were used as a basis for the study and for hypothesizing the effects of such variables on the use of e-learning. The findings of this study found that there is significant influence of self-efficacy to perceived ease of use and perceived usefulness while perceived ease of use has direct impact to perceived usefulness and perceived usefulness has influence on intention to use towards e-learning systems.

Identifying the Influential Factors of Knowledge Sharing in E-Learning 2.0 Systems

2020 ◽  
pp. 603-622
Author(s):  
Bing Wu
Keyword(s):  
Organizational Climate ◽  
Knowledge Sharing ◽  
Knowledge Creation ◽  
Self Efficacy ◽  
Structural Equation ◽  
Success Factors ◽  
Influential Factors ◽  
Perceived Usefulness ◽  
Positive Effects ◽  
E Learning

As the E-Learning 2.0 system is a tool to help members manage knowledge in an effective way, this study attempts to verify the constructs of knowledge creation self-efficacy, subjective norms, perceived usefulness, organizational climate, attitudes toward knowledge sharing and the intention to engage in knowledge sharing. A sample of 284 participants from companies in China that have already implemented E-Learning 2.0 systems participated in this study. Structural equation modeling is conducted to test the research hypotheses. Research results show that (1) Knowledge creation self-efficacy, perceived usefulness and organizational climates are found to have positive effects on the intentions toward knowledge sharing in E-Learning 2.0 systems; (2) Meanwhile, system success factors of communication quality and service quality are suggested to influence the perceived usefulness of E-Learning 2.0 systems; (3) As we expected, the intentions toward knowledge sharing in E-Learning 2.0 have positive effects on knowledge-sharing behavior. Therefore, by highlighting the role of the organizational climate, the findings of current research provide practical insights for understanding how organizations should reinforce fairness, innovativeness and affiliation to create a climate of reciprocity.

scholarly journals Online Learning Self-Efficacy: The Role in E-Learning Success

2020 ◽  
Vol 1569 ◽  
pp. 022053
Author(s):  
S A Ithriah ◽  
D Ridwandono ◽  
T L M Suryanto
Keyword(s):  
Online Learning ◽  
Self Efficacy ◽  
Learning Success ◽  
E Learning

scholarly journals Impact of Learning Motivation, Cognitive and Self-Efficacy in Improving Learning Quality E-Learning in Industrial Era 4.0

2019 ◽  
Vol 1339 ◽  
pp. 012081
Author(s):  
Ramdani Bayu Putra ◽  
Elfiswandi ◽  
Muhammad Ridwan ◽  
Sitti Rizki Mulyani ◽  
Dharma Syahrullah Ekajaya ◽  
...  
Keyword(s):  
Self Efficacy ◽  
Learning Motivation ◽  
E Learning

Experimental Analysis of Students’ Satisfaction Factors in E-Learning Environment: A Case Study on Saudi Arabian University

2017 ◽  
Vol 16 (02) ◽  
pp. 1750018 ◽  
Author(s):  
Hussein Abdel-Jaber
Keyword(s):  
Online Education ◽  
Self Efficacy ◽  
Online Courses ◽  
Learning Assessment ◽  
Saudi Students ◽  
Self Regulated Learning ◽  
Perceived Satisfaction ◽  
Regulated Learning ◽  
E Learning ◽  
Students Satisfaction

Despite the proliferation of studies outlining the immense benefits obtained from e-learning, the understanding of students’ satisfaction with e-learning in developing countries is still unclear. Therefore, this paper investigates the relationship between Saudi students’ satisfaction with online courses and a number of individual, as well as institutional characteristics cited as robust predictors of students’ satisfaction in the educational literature. These include: students’ levels of internet self-efficacy, self-regulated learning, assessment of course and instructors’ interactivity and their evaluation of the Learning Management System (LMS) used. The results indicated that students’ internet self-efficacy and self-regulated learning constitute critical factors influencing students’ satisfaction with e-learning. Further, students’ assessment of course, as well as instructors’ interactivity are found to marginally affect perceived satisfaction with e-learning among Saudi students. The LMS used (Blackboard) seemed to be the weakest factor influencing students’ experience with online education. Overall, based on the results obtained and in order to maximise the benefits of e-learning; this paper recommends for Saudi universities to extensively use LMS to increase the interactions among primary stakeholders: students–instructors, students–students and students–LMS.

Sign in / Sign up

Export Citation Format

Share Document