THE STATE BANK OF VIETNAM MINISTRY OF EDUCATION AND TRAINING HO CHI MINH UNIVERSITY OF BANKING PHÙNG NGỌC VÂN ANH FACTORS INFLUENCING STUDENTS’ BLENDED LEARNING ADOPTION: A CASE STUDY OF WESTERN SYDNEY INTERNATIONAL PARTNERSHIP PROGRAM AT UEH-ISB IN HO CHI MINH CITY MASTER THESIS Major: Business Administration Code: 8 34 01 01 Ho Chi Minh City - 2024 ”THE STATE BANK OF VIETNAM MINISTRY OF EDUCATION AND TRAINING HO CHI MINH UNIVERSITY OF BANKING PHÙNG NGỌC VÂN ANH FACTORS INFLUENCING STUDENTS’ BLENDED LEARNING ADOPTION: A CASE STUDY OF WESTERN SYDNEY INTERNATIONAL PARTNERSHIP PROGRAM AT UEH-ISB IN HO CHI MINH CITY MASTER THESIS Major: Business Administration Code: 8 34 01 01 ADVISOR: ASSOC. TRẦN VĂN ĐẠT Ho Chi Minh City - 2024 i DECLARATION My name is Phùng Ngọc Vân Anh, a master’s student majoring in Business Administration at Ho Chi Minh University of Banking. I hereby declare that the thesis entitled “Factors influencing students’ blended learning adoption: A case study of Western Sydney international partnership program at UEH-ISB in Ho Chi Minh City” is the result of my own work based on research and synthesis, conducted under the supervision of Assoc. Trần Văn Đạt from the Department of Business Administration.
Except for the reference materials cited in this thesis, I declare that the full content of the thesis has not been published or used for any other degree. The survey information and data I have used in this research are completely truthful and have a clear origin. However, given the possibility of some shortcomings during the research process, I look forward to receiving comments from the thesis committee to further improve my thesis. Ho Chi Minh City, August 2024 Student Phùng Ngọc Vân Anh ii ACKNOWLEDGEMENT First and foremost, I would like to express my sincere gratitude to the Lecturers of Ho Chi Minh City University of Banking, who have imparted to me invaluable knowledge in the field of business administration and shared with me their precious experiences, allowing me to enhance my understanding in the business field and apply the knowledge in practice to complete this thesis.
I would like to extend my heartfelt thanks to my thesis advisor - Assoc. Trần Văn Đạt - for his dedicated guidance, detailed feedback, and unwavering support in helping me overcome the difficulties and complete my master’s thesis with the best effort. I am also grateful to the homeroom teacher of class CH8QTKD - Mr. Cao Ngọc Văn - for his enthusiastic assistance in communicating and providing me with important information throughout the process of completing this thesis.
I would like to thank the School management, the staff, the instructors and the students from Western Sydney international partnership program at UEH-ISB for their invaluable support and assistance throughout the data collection process for this thesis. Finally, I extend my deepest appreciation to my family and friends for their wholehearted support and encouragement during my academic journey and the completion of this thesis. Ho Chi Minh City, August 2024 Student Phùng Ngọc Vân Anh iii ABSTRACT Title: Factors influencing students’ blended learning adoption: A case study of Western Sydney international partnership program at UEH-ISB in Ho Chi Minh City. Abstract: In Vietnam, institutions are adopting digital technologies for management and teaching.
Blended learning, which combines e-learning and in- person sessions, has been a priority in recent years. The necessary conditions for successful blended learning adoption still require further investigation in the coming time, so that the blended model can contribute to improving education and training effectiveness in the context of digital transformation. The research purpose is to determine factors influencing students’ blended learning adoption at Western Sydney (WSU) international partnership program at UEH-ISB in Ho Chi Minh City. The research employs both qualitative and quantitative methods.
An online survey using Google Forms was conducted with the participation of 400 undergraduate students at WSU program. The collected data after screening and cleaning were analyzed using SPSS 26. Data analysis methods include descriptive statistics, Cronbach’s Alpha reliability test, exploratory factor analysis, Pearson’s correlation coefficient, multiple linear regression, and One-way ANOVA. The data analysis results on 384 valid responses indicate that all eight independent variables (performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, self efficacy, instructor characteristics, course flexibility) have a positive influence on students’ blended learning adoption.
Based on these findings, the author proposes implications for the school management to develop strategies that enhance the quality of the blended learning model, ultimately improving students’ performance, commitment, and satisfaction within a blended learning environment. This research is expected to serve as a reference for related studies in the future while acknowledging certain limitations and providing recommendations for further improvement. Keywords: Blended learning, adoption, international partnership program, Western Sydney. iv LIST OF ABBREVIATIONS Abbreviation Term in English Term in Vietnamese ANOVA Analysis of Variance Phân tích phương sai Association to Advance Hiệp hội Phát triển giảng dạy AACSB Collegiate Schools of Business doanh thương bậc Đại học BLAC Blended Learning Acceptance Sự đồng ý học tập kết hợp BI Behavioural Intention Ý định hành vi BL Blended Learning Học tập kết hợp BLA Blended Learning Adoption Sự chấp nhận học tập kết hợp CF Course Flexibility Tính linh hoạt của khóa học CFA Confirmatory Factor Analysis Phân tích nhân tố khẳng định COMF Comfortability Sự thoải mái COMT Commitment Sự cam kết COVID-19 Corona Virus Disease 2019 Dịch vi-rút corona 2019 College and University Kiểm định môi trường lớp CUCEI Classroom Environment học đại học và cao đẳng Inventory CoI Community of Inquiry Cộng đồng tìm hiểu CSE Computer Self Efficacy Hiệu quả của máy tính CQ Course Quality Chất lượng khóa học CE Computer Experience Kinh nghiệm máy tính EE Effort Expectancy Kỳ vọng nỗ lực EFA Exploratory Factor Analysis Phân tích nhân tố khám phá Eil Empowerment in Learning Trao quyền trong học tập FC Facilitating Conditions Điều kiện thuận lợi HE Higher Education Giáo dục đại học HM Hedonic Motivation Động lực thụ hưởng HT Habit Thói quen Information and Communication Công nghệ thông tin và ICT Technology truyền thông ICQ Instructor Quality Chất lượng giảng viên IQ Information Quality Chất lượng thông tin IS Information System Hệ thống thông tin ISB International School of Business Viện Đào tạo Quốc tế IC Instructor Characteristics Đặc điểm của giảng viên IT Information Technology Công nghệ thông tin v Abbreviation Term in English Term in Vietnamese International English Language Hệ thống Kiểm tra Anh ngữ IELTS Testing System Quốc tế Kiểm định Kaiser – Meyer – KMO Kaiser-Meyer-Olkin Test Olkin LS Learner Satisfaction Sự hài lòng của người học LA Learning Attitudes Thái độ học tập LAD Learners’ Adoption Sự chấp nhận của người học LMS Learning Management Systems Hệ thống quản lý học tập LV Learning Value Giá trị học tập Khóa học trực tuyến đại MOOCs Massive Open Online Courses chúng mở Organisation for Economic Tổ chức Hợp tác và Phát OECD Co-operation and Development triển Kinh tế OLV Online Learning Value Giá trị học tập trực tuyến OLA Online Learning Acceptance Chấp nhận học trực tuyến Online Experience Learning Hình thức học trải nghiệm OELM Modality trực tuyến PI Personal Innovativeness Sự đổi mới cá nhân PBC Perceived Behavioral Control Nhận thức kiểm soát hành vi PE Performance Expectancy Kỳ vọng hiệu quả Partial Least Squares-Structural Mô hình cấu trúc bình PLS-SEM Equation Modelling phương nhỏ nhất từng phần PEU Perceived Ease of Use Nhận thức tính dễ sử dụng PU Perceived Usefulness Nhận thức tính hữu ích PV Price Value Giá trị giá cả Q&A Questions and Answers Hỏi và đáp SCT Social Cognitive Theory Lý thuyết nhận thức xã hội SI Social Influence Ảnh hưởng xã hội Statistical Package for the Social Phần mềm thống kê khoa SPSS Sciences học xã hội Niềm tin vào năng lực bản SE Self Efficacy thân SS Student Satisfaction Sự hài lòng của sinh viên SF System Functionality Chức năng hệ thống SIT System Interactivity Tương tác hệ thống SN Subjective Norms Chuẩn mực chủ quan SQ System Quality Chất lượng hệ thống vi Abbreviation Term in English Term in Vietnamese SA Student Acceptance Sự chấp nhận của sinh viên SVQ Service Quality Chất lượng phục vụ TE Technology Experience Trải nghiệm công nghệ Niềm tin vào năng lực giáo TEF Teacher Efficacy viên Mô hình chấp nhận công TAM Technology Acceptance Model nghệ Lý thuyết hành vi có kế TPB Theory of Planned Behavior hoạch TR Trust Niềm tin TRA Theory of Reasoned Action Lý thuyết hành động hợp lý TA Teachers’ Acceptance Sự chấp nhận của giáo viên UA User Acceptance Sự chấp nhận của người dùng University of Economics Ho Chi Đại học Kinh tế Thành phố UEH Minh City Hồ Chí Minh United Nations Educational, Tổ chức Giáo dục, Khoa học UNESCO Scientific and Cultural và Văn hóa Liên Hợp Quốc Organization Trải nghiệm trực tuyến phổ UOX Ubiquitous online experience biến US United States Hoa Kỳ Unified Theory of Acceptance Lý thuyết thống nhất về chấp UTAUT and Use of Technology nhận và sử dụng công nghệ UUM Universiti Utara Malaysia Đại học Utara Malaysia USS User Satisfaction Sự hài lòng của người dùng UE Use Expectancy Kỳ vọng sử dụng WSU Western Sydney University Đại học Western Sydney vii LIST OF CONTENT DECLARATION.
iii LIST OF ABBREVIATIONS. iv LIST OF CONTENT.vii LIST OF TABLES. x LIST OF FIGURES. Research problem statement.
Research subject and scope. Qualitative research method. Quantitative research method. 6 SUMMARY OF CHAPTER 1.
Definition of blended learning. Different approaches to blended learning. Definition of adoption. Principles of adoption.
Different approaches to adoption. International partnership program. Institutional blended learning adoption framework. Social Cognitive Theory.
Theory of Planned Behavior. Technology Acceptance Model. Unified theory of acceptance and use of technology 2. Overview of empirical studies.
Conceptual model and hypotheses. 47 SUMMARY OF CHAPTER 2. Scale development process. Data analysis methods.
Cronbach’s Alpha reliability test. Exploratory factor analysis. Pearson’s correlation coefficient. Multiple linear regression.
One-way ANOVA. 75 ix SUMMARY OF CHAPTER 3. FINDINGS AND DISCUSSIONS. Overview of WSU international partnership program.
Cronbach’s Alpha reliability test. Exploratory factor analysis. Pearson’s correlation coefficient. Multiple linear regression.
One-way ANOVA. 105 SUMMARY OF CHAPTER 4. CONCLUSIONS AND IMPLICATIONS. Limitations and recommendations.
146 SUMMARY OF CHAPTER 5. xxvi x LIST OF TABLES Table 2. Proportion of Content Delivered Online. Summary of empirical studies.
Summary of supported factors in previous studies. Research initial measurement scales. Research official measurement scales. Descriptive statistics results.
Cronbach’s Alpha reliability test results. Reliable observations after Cronbach’s Alpha analysis. Exploratory factor analysis results. Pearson’s correlation coefficient results.
Multiple linear regression results. Descriptive statistics results of observed variables. 115 xi LIST OF FIGURES Figure 2. Scheme Blended Learning.
Social Cognitive Theory. Theory of Planned Behavior. Technology Acceptance Model. Unified Theory of Acceptance and Use of Technology 2.
Research Conceptual Model. Normal P-P plot chart. Final research model. Research problem statement The information and communications technology sector is one of the fastest- evolving products of the modern era, and according to Wu et al.
(2010) “advances in technology offer a multiplicity of possibilities for communication, interaction and multimedia delivery systems in universities”. Due to the prevalence of information technology, blended learning has become the common teaching method in modern education. Blended learning was first introduced by universities in the late 90’s in the US and Canada and is considered to be the third generation of advancement in higher education. The application of the blended learning model in higher education represents a key component of the broad digital transformation efforts to build a modern higher education institution.