Learning Satisfaction Research Articles

Distant Learning Satisfaction in High School Chemistry Amidst COVID-19 Pandemic: A Case Study

The aim of this research is to analyze the level of satisfaction with distance learning chemistry during the COVID-19 pandemic. This study used descriptive qualitative method. Data collection through a survey using google form to 449 respondents. The results of the analysis show that the COVID-19 pandemic has an impact on the level of student satisfaction, namely 18% very satisfied, 78% satisfied and 4% dissatisfied with distance learning chemistry. Students participate actively in taking chemistry lessons online. The distance learning system is not limited to being used during the COVID-19 pandemic, but can also be applied in normal conditions as modified learning with face-to-face learning.

IMPROVING ACADEMIC ACHIEVEMENT IN A SCIENCE AND TECHNOLOGY COURSE USING STAD COOPERATIVE LEARNING FOR EIGHTH GRADE STUDENTS

This classroom action research demonstrates that the performance of eighth-grade students in science and technology courses using the STAD technique-based cooperative learning management was enhance to achieve a minimum of 70% and this technique yielded highest students' satisfaction. The sample group consists of 37 eighth-grade students from a school in Sakon Nakhon Province during the first semester of the academic year 2022, selected using purposive sampling. The research tools include a learning management plan, a 20-item multiple-choice achievement test on the topic of fluid, and a learning satisfaction form. The data analysis was based on averages, standard deviations, and percentages. The results show that students who were taught using the STAD technique-based cooperative learning management achieved an average score of 15.35 with a standard deviation of 2.07, exceeding the 70% success rate. The students expressed high levels of satisfaction with the STAD technique-based cooperative learning management, with an average overall satisfaction score of 4.42, and the highest satisfaction was reported for "teaching and learning activities" with an average score of 4.43.

Moderated Mediation Model of Student Expectation and Satisfaction in Blended Learning: Context of Mathematics Learning in Chinese Higher education institutions

With the continuous development of educational informatization, blended learning, which combines the advantages of online and offline teaching, has become a research hotspot in the field of education. This study aims to discuss the influencing factors of blended learning satisfaction. Using purposive sampling method, 529 undergraduate students majoring in mathematics from 16 higher education institutions in Guangxi were surveyed. Furthermore, validity and reliability tests, confirmatory factor analysis, correlation analysis, and structural equation modeling were employed to process the data. Empirical results indicate that in blended learning, student expectation and perceived value have significant positive effects on learning satisfaction. Student expectation also have a significant positive effect on perceived value. Moreover, perceived value plays a mediating role in the relationship between student expectation and learning satisfaction. Self-efficacy moderates the relationship between student expectation and learning satisfaction. This study contributes to enhancing the quality of blended courses and improving the satisfaction of university students with blended learning.

Personalized Learning Path Recommendation Algorithm for English Listening Learning

A personalized learning path recommendation algorithm for English listening learning leverages data on users' proficiency levels, learning preferences, and past performance to suggest tailored learning paths. By incorporating natural language processing (NLP) techniques, the algorithm can analyze audio content, transcripts, and user interactions to assess comprehension and identify areas for improvement. It then recommends a sequence of listening exercises, podcasts, audiobooks, or other resources matched to the user's skill level and interests. This paper introduces the Ranked Path Recommendation (RPR) algorithm, designed to facilitate personalized English listening learning. Leveraging data analytics and machine learning techniques, the RPR algorithm aims to provide tailored recommendations of listening materials based on individual learners' preferences, proficiency levels, and learning objectives. Through a series of experiments and analyses, the effectiveness of the algorithm is evaluated, considering factors such as recommendation accuracy, learner satisfaction, and adaptability. Results demonstrate the algorithm's ability to curate diverse and relevant listening materials, enhancing learner engagement and comprehension. However, challenges such as algorithmic biases and the need for ongoing refinement are acknowledged. Ultimately, the RPR algorithm represents a promising approach to adaptive learning in language education, contributing to the advancement of personalized and effective language learning experiences. Results demonstrate that the RPR algorithm achieved recommendation accuracy ranging from 85% to 92% across ten different scenarios, with corresponding learner satisfaction ratings ranging from 6.9 to 8.8 on a scale of 1 to 10. Learner feedback indicates that recommended materials were perceived as relevant, engaging, and diverse, contributing to enhanced comprehension and motivation.

Learning satisfaction on the use of chatgpt among nursing students in selected higher education institutions in Sulu

This study determined the levels of learning satisfaction of nursing students in selected higher education institutions (HEIs) in Sulu with the use of Chat Generative Pre-Trained Transformer (ChatGPT) during the academic year 2023-2024. Quota sampling (n=100) was used to sample the students from five different HEIs in Sulu each of them had equal 20 participants selected. An adapted five-point Likert-scale was used to elicit the responses from the participants. Findings indicated that the nursing students were highly satisfied on the usefulness and ease of use of ChatGPT in learning while moderately satisfied on its credibility, social influence, and privacy and security. Further analysis was conducted on the differences of satisfaction level of nursing students based on their demographic profile (i.e., age, sex, and year level). Inferential analysis indicated that somehow, the satisfaction levels of nursing students in terms of their age, sex, and year level were relatively equal. However, female students significantly differed their level of satisfaction compared to male in terms of the usefulness of ChatGPT in learning. These findings emphasized the importance of considering gender-specific factors, as well as maintaining a proactive approach to technology integration and evaluation in nursing education. By addressing these, educators can optimize the use of ChatGPT as a valuable tool for enhancing learning outcomes and student satisfaction in nursing programs.

Self-control, peer assistance, and satisfaction of online learning among Chinese social work students

ABSTRACT Online learning is a new type of learning practice based on information and communication technologies. It has gained great popularity in higher education in China in recent years, especially during the COVID-19 pandemic, because it can reach more students over long distances and achieve cost-benefit maximization. Compared with the traditional classroom-based learning model, online learning reduces the control of instructors, thus highlighting the students’ self-management ability and peer assistance. Based on the data collected from an online learning survey of undergraduate (BSW) and graduate social work (MSW) students in China in 2022, this study reveals the effects of social work students’ self-control and peer assistance on online learning satisfaction. The results show that 72.95% of BSW and MSW students have participated in online learning in the previous academic year, and they are generally satisfied with their online learning. Students’ self-control ability significantly affects their satisfaction with online learning. At the same time, peer assistance is a significant mediating variable. It is suggested that in addition to promoting students’ self-control ability and self-study management, making full use of online resources to promote peer assistance and communication among students is also a way to improve social work students’ satisfaction with online learning.

Information Sustainability in a Digital Learning Environment: An Application of Technology Acceptance Model

Examining The main objective of the study is to examine the impact of digital learning environment on the information sustainability among higher education institutions. Meanwhile the study has also examined the impact of technology acceptance model namely perceived usefulness, perceived enjoyment, perceived ease of use, computer self-efficacy, and computer anxiety on the digital learning environment on the information sustainability among higher education institutions. Lastly, the study has examined the mediating role of digital learning environment in the relationship between the perceived usefulness, perceived enjoyment, and perceived ease of use, computer self-efficacy, and computer anxiety information sustainability among higher education institutions. This study uses a quantitative methodology to explore the perspectives of employees in Thailand's industrial, commercial, and service sectors on their working conditions. Purposive sampling was used to select 500 students from various universities. Structural Equation Modeling (SEM) was used to analyze the data, verify model accuracy, and assess scale dependability. SEM's ability to validate, refine, and test hypotheses allows for in-depth analyses of variable interplay. SEM is a confirmatory statistical method used to investigate structural theories, aiming to gain a more comprehensive understanding of causal processes impacting multiple variables. This study explores Learner Satisfaction in a Digital Environment (LSDE) and the role of information systems. Factors like computer self-efficacy, anxiety, enjoyment, ease of use, and usefulness influence satisfaction. The study highlights the importance of user-centric factors in creating a successful learning experience in digital environments, extending existing literature and highlighting the practicality of theories like Bandura's self-efficacy and the Technology Acceptance Model.

Institutional Factors and Student Satisfaction of Post-graduate Adult Learners

In recent years, various stakeholders, including researchers, policymakers, and students, have displayed a growing interest in assessing the effectiveness and performance of higher education institutions. Although no single indicator is sufficient to describe the organizational quality of the university, student satisfaction is one of the most often used indicators. Extensive prior research has consistently demonstrated that high levels of student satisfaction positively influence crucial performance measures such as student retention and institutional graduation rates. Although student satisfaction has been extensively studied, particularly among undergraduate students, much less research has been done among adult learners returning to college. This paper aims to identify the key institutional factors that significantly impact the satisfaction of part-time postgraduate students. We hope that the insights of the study can help universities to allocate their limited resources and ultimately to enhance the well-being of the students.

Determining nursing students' attitudes towards, readiness for, expectations from and satisfaction with distance education and their sense of alienation from their university.

To determine nursing students' views on attitudes towards distance education during coronavirus disease 2019 pandemic. The analytical, cross-sectional study was conducted in May and June 2022 at a state university in the Mediterranean region of Türkiye, and comprised nursing students. Data were collected using the Attitude Towards e- Learning Scale, e-Readiness for e-Learning and Expectations Scale, e-Satisfaction Scale, and University Alienation Scale. Data were analysed SPSS 26. Of the 322 participants, 213 (66.1%) were females, and 159 (49.4%) were staying in hostel dormitories. The mean age of the sample was 20.36±1.63 years. There was a significant, moderate and positive correlation between the students' scores from with respect to readiness, satisfaction, transmission, practicality and content of distance learning (p<0.05). There was a significant, weak and positive correlation of readiness with the education process, interaction and assessment values (p≤0.05). Alienation towards university education increased in relation to technology skills.

Factors Influencing Student Satisfaction in Online Learning among Hospitality and Tourism Students in the Philippines

This study examines the factors influencing student performance and satisfaction in an online learning environment. It specifically investigates the relationships between course design, lecturer traits, student traits, technical support, student performance, and student satisfaction. Using a self-administered questionnaire, the study conducted a cross-sectional analysis among hospitality management students (n=256) at Cordillera Career Development College in the Philippines. Structural equation modelling was employed to analyse the proposed hypotheses. The findings indicate that student performance, lecturer traits, and technical support positively influence student satisfaction. The study highlights the students’ comfort with online classes and the support they receive from lecturers while acknowledging that technical issues pose challenges to the effectiveness of online education. The study emphasises the increasing importance of the Internet and new technologies in education. The insights from this study can guide educational administrators in improving their strategies and curriculum design to adapt to the new normal.

Collaborative virtual reality environment in disaster medicine: moving from single player to multiple learners.

The use of virtual reality (VR) in healthcare education is on the increase. In disaster medicine, it could be a solution to the cost and logistic constraints for a "full-scale" scenarios. However, VR is mainly designed for single players, which is not appropriate for the objectives pursued in disaster medicine. We decided to evaluate the educational value of using individual VR simulation in disaster medicine on a group of learners. The VR scenario used was a reproduction of a major train crash, with 21 victims and whose objectives were START triage and first aid techniques. The sessions were carried out in multi-participant groups with different roles (active and immersed with headset, paper triage without headset, and active for communications not immersed in the headset). Their perceived self-efficacy was assessed before (T0), after (T1) and 2months (T2) after the training. Satisfaction and confidence in learning were also measured. The median levels of satisfaction and confidence in learning were of 21/25 and 32/40 respectively. Their perceived self-efficacy increased significantly between T0 and T1 (p < 0.001), and remained stable until T2. The different roles of participant showed no difference in terms of satisfaction, confidence in learning or changes in perceived self-efficacy. One third of the participants agreed that the number of participants had interfered with their learning. A significant negative correlation (rS = -0.51, p = 0.002) was found between satisfaction and the fact of having been hindered by the number of participants. Around 90% of participants found the activity entertaining and found the new technologies appropriate for learning technical skills. This first experience of VR in a group setting is satisfactory and shows its positive effects. The limitations highlighted here will enable areas of improvement to be identified for the use of VR in disaster medicine, pending the development of multi-player tools. It would now be appropriate to analyse the impact of this type of simulation on learning and its retention over time.

Psychological determinants and technology acceptance in mobile learning for overseas students studying Chinese in China: A self-determination theory perspective

Emerging research in language education increasingly recognizes the transformative potential of mobile learning. Anchored in Self-Determination Theory (SDT) and Technology Acceptance Model (TAM), this study employed Structural Equation Modelling (SEM) to investigate how psychological factors—specifically perceived competence, autonomy, and relatedness—affect overseas students studying Chinese in China. It examined the interaction of these factors with Perceived Usefulness (PU) and Perceived Ease of Use (PEU) in mobile learning environments and their impact on learners' satisfaction and intention to continue using these learning platforms. Involving 515 participants in a bilingual online survey, the research delved into the dynamics of these psychological determinants on learners' attitudes towards mobile learning technologies. The SEM analysis revealed a complex interplay, where competence, autonomy, and relatedness significantly forecast PU and PEU, thereby shaping learner satisfaction and commitment to ongoing use. The findings highlighted the critical role of social interaction, cultural exchange, and personalized learning experiences in enhancing mobile learning effectiveness. Implications of the findings were discussed to enhance learner engagement and educational achievement in Chinese language learning.

E-Learning influences on student learning satisfaction levels in terms of learner’s personalization

E-Learning influences on student learning satisfaction levels in terms of learner’s personalization

Computer Game Development for Balancing Chemical Equations Skill in Chemistry Education

This computer game was designed and developed to enhance the skills of high school students in balancing chemical equations. The game simulates a trip to the beach and consists of three missions, ranging from easy to difficult levels, enabling players to engage in a contextual learning experience. The objectives of this computer game development were to compare learning achievement before and after using the game and to evaluate the level of satisfaction in learning through the game. The study sample consisted of 27 high school students in Mathayom Suksa four, selected from a medium-sized school in Pathumthani Province, Thailand, using purposive sampling. The research employed two primary assessment tools: 1) a pretest-posttest to assess the understanding of balancing chemical equations and 2) a satisfaction evaluation form to evaluate the computer game. Data analysis was performed using the mean, standard deviation (S.D.), t-test, and normalized gain (&amp;lt;g&amp;gt;). The findings revealed that the mean learning achievement after using the computer game (13.52) was significantly higher than the mean before using the computer game (11.52) at a significance level of 0.01. The overall normalized gain for the class was at a moderate level. Furthermore, the majority of the participants expressed high satisfaction with a mean score of 4.56, indicating that the computer game was user-friendly and conducive to learning. The content, which presented chemical reactions in daily life within the computer game, was also easily comprehensible. Therefore, it could be effectively utilized to enhance classroom learning and applied to other areas of knowledge.

Design and Implementation of an Intelligent Cross-Border E-Commerce English Learning Platform Based on a Knowledge Map

At present, most online education platforms still have problems such as single learning modes and loose knowledge structures. Using the knowledge map, the study employs a personalized adaptive intelligent adjustment strategy based on the structural expression of the CBEC English subject system. Firstly, the study uses the Scapy framework to crawl the subject knowledge data. Then use the LTP platform to process sentences containing multiple entities. Input the sentence into the dependency parser to analyze and extract the entity relationship. Finally, according to the relevance between knowledge points and topics in the knowledge map, the final learning path recommendation result is obtained. And cluster the similarity of curriculum content to build a complete curriculum system. Based on the above operations, a knowledge map-based smart learning platform for the CBEC English discipline has been designed and implemented to provide a smart, personalized learning environment for learners. According to the experimental analysis, the average satisfaction of learners with the learning platform designed by the study is 81.56%, which can meet the learning needs of learners and provide an excellent mobile learning environment for students.

The Student Satisfaction on Education Service Quality: Case Study at Hong Duc University

Education Service Quality is a vital issue of every university to provide training service that aligns with societal demands and strives for learner satisfaction. A great number of research is conducted on this topic to calculate the role and impact of Education Service Quality on student satisfaction. This study analyses Student Satisfaction with Education Service Quality, including lecturer, staff officer, educational program, educational activities, infrastructure, and support activities on student satisfaction. Data from 464 students in the fields of economics and engineering were collected for analysis. The research findings demonstrate that students are satisfied with 3 of 6 proposed factors, with the lecturer exerting the most, followed by educational programs and training activities. This study contributes novel insights to both theoretical understanding and practical application, thereby facilitating the continuous improvement of training management.

Design and Implementation of Online Learning System: An Analysis from Students’ Perspectives

The COVID-19 pandemic has changed the nature of education, leading to a move away from in-person instruction toward online training. This raises the question of how beneficial, given the COVID-19 epidemic, online schooling is. The effectiveness of e-learning and student efforts during the COVID-19 epidemic will be used in this study to measure the Telkom University S1 Business Administration department's level of learning satisfaction. This type of research is descriptive quantitative since it makes use of a questionnaire. A private university's hundred students made up the study's population. To evaluate data, use the SmartPLS program. The results of the data analysis show that learning satisfaction is significantly impacted by both student actions and the effectiveness of e-learning.

The perceived coolness of using virtual reality technology in blended learning performance can improve learning motivation and learning satisfaction

This study verifies the practical use of virtual reality (VR) technology in real-world educational settings. The evidence indicates that the unique encounter provided by technology can assist university scholars in mastering educational assignments with high motivation and satisfaction toward the innovative learning system. This study analyzes 82 college students who used VR technology in the classroom for 6 weeks. The collected data were further analyzed using SPSS24.0 and SMARTPLS 3 analysis software. The study found the use of VR technology in education led to high levels of satisfaction and motivation to learn. As a result, college students’ learning performance was improved. The research also found that learning motivation and satisfaction played a partial role in mediating the correlation between perceived coolness and blended learning performance. This finding highlights the importance of the blended learning task arrangement, which was further verified through actual learning tasks.

Assessment of satisfaction in emergency remote learning from pharmacy students’ perspective in a public university in Brazil

The remote teaching-learning process in the Baccalaureate of Pharmacy at UFMG brought many challenges to the students, thus our objective was to assess the satisfaction of the students with the ERL. It was evaluated when the classes were instituted by means of Emergency Remote Learning (ERL), during the coronavirus pandemic (SARS-CoV-2). A questionnaire addressing teaching-learning data, sociodemographic habits and lifestyle was collected through a virtual platform and, data are analyzed by linear regression and by the Classification And Regression Tree (CART) technique. The overall mean students´ satisfaction with ERL was 3.12±1.10 (Likert scale 1-5), presenting an inverse correlation with learning in the professional cycle of the course (p&lt;0.001). Only 3.1% indicated 'none or little learned', variable classified as maximum satisfaction. Low satisfaction was registered with the quality of the practical classes (3.06±1.22) revealing the limitation of ERL in the case of a lot of practical content, as for Pharmacy course. A high level of satisfaction was related to the didactics and methodology of the professors (3.55±0.99), showing their commitment and dedication to the ERL, despite the difficulties of its implementation. The study results point for improvements in content, course organization, or the use of different technologies to enhance student satisfaction with remote learning format.

Shaping the future of creative education: the transformative power of VR in art and design learning

Addressing a critical gap in the understanding of virtual reality (VR) in education, this study develops and validates a predictive model to elucidate the influence of usability and spatial ability on learning satisfaction among art and design undergraduates. Utilizing structural equation modeling on data from 105 art and design students in Mexico, we demonstrate that enhanced usability and spatial ability in VR significantly predicts increased learning satisfaction, which in turn, positively affects motivation, cognitive benefits, reflective thinking, and perceived learning. Our findings reveal a direct correlation between VR environment design and educational outcomes, suggesting that meticulous attention to usability and spatial navigation can substantially elevate the learning experience in art and design students. This research contributes to educational technology by offering empirical evidence on optimizing VR for higher education, with implications for curriculum design and pedagogical strategies in creative disciplines.