Đề tài khoa học và công nghệ cấp cơ sở xây dựng hệ thống quản lý phòng máy thực hành tại trường cđ cntt

ĐẠI HỌC ĐÀ NẴNG TRƯỜNG CĐ CÔNG NGHỆ THÔNG TIN BÁO CÁO TỔNG KẾT ĐỀ TÀI KHOA HỌC VÀ CÔNG NGHỆ ẠI Đ CẤP CƠ SỞ XÂY DỰNG HỆ THỐNG QUẢN LÝ PHÒNG MÁY H C Ọ THỰC HÀNH TẠI TRƯỜNG CĐ CNTT À Đ G ẴN N Mã số: T2017-07-09 Chủ nhiệm đề tài: Th.S Phan Trọng Thanh Thành viên tham gia: ThS Nguyễn Anh Tuấn Đà Nẵng, 12/2017 ĐẠI HỌC ĐÀ NẴNG TRƯỜNG CĐ CÔNG NGHỆ THÔNG TIN BÁO CÁO TỔNG KẾT ĐỀ TÀI KHOA HỌC VÀ CÔNG NGHỆ CẤP CƠ SỞ ẠI Đ Ọ H C XÂY DỰNG HỆ THỐNG QUẢN LÝ PHÒNG MÁY Đ À THỰC HÀNH TẠI TRƯỜNG CĐ CNTT ẴN N G Mã số: T2017-07-09 Xác nhận quan chủ trì đề tài Chủ nhiệm đề tài Phan Trọng Thanh Đà Nẵng, 12/2017 TABLE OF CONTENTS LIST OF FIGURES i LIST OF TABLES ii LIST OF ABBREVIATIONS iii THÔNG TIN KẾT QUẢ NGHIÊN CỨU iv INTRODUCTION 1 Reasons Research objectives and tasks Research subjects Layout CHAPTER RELATED WORK Đ ẠI 1.1 Integrated Module Ọ H 1.2 Software 1.3 Discussion C Đ CHAPTER DESIGN AND BUILD THE SYSTEM À 2.1 Survey the system N ẴN 2.2 Build functions 2.2.1 System Management G 2.2.2 Category Management 2.2.3 Manage the operation of the equipment 2.2.4 Manage your practice calendar registration 2.2.5 Message Management 2.2.6 Statistics - reports 2.5 Some demo system figures CHAPTER EXPERIMENTAL, SURVEY AND EVALUATION 11 3.1 Purposes of studying 11 3.2 Technology acceptance model (TAM) 11 3.2.1 Perceived usefulness (PU) 12 3.2.2 Perceived ease to use (PEU) 13 3.2.3 Attitude toward using (ATU) 13 3.2.4 Behavioral intention to use (BI) 14 3.3 Conceptual model 14 3.4 Research Hypotheses 15 3.5 Operational Definition 16 3.6 Questionnaire Design 17 CHAPTER CONCLUSION 22 4.1 The results of the thesis 22 4.2 Existence, weakness 22 4.3 Future development 22 REFERENCES 23 ẠI Đ C Ọ H À Đ G ẴN N i LIST OF FIGURES Fig The borrowings - check out the lab, lecturers have to write on papers Fig 1.1 Screenshots of tmProx Fig 1.2 Screenshots of iTALC demonstrating the work with it Fig 1.3 Screenshots of iTALC demonstrating the work with it Fig 2.1 Demonstration of laboratory equipment management Fig 2.2 Demonstration of equipment scheduling functionality 10 Fig 3.1 Conceptual model of the survey 15 Fig 3.2 Structural model 18 ẠI Đ C Ọ H À Đ G ẴN N ii LIST OF TABLES Table 2.1 Requirements for a proposed system Table 3.1 Factor definition 16 Table 3.2 Survey questionnaire items 17 Table 3.3 Hypotheses testing result 19 ẠI Đ C Ọ H À Đ G ẴN N iii LIST OF ABBREVIATIONS Lab Room ' staff IT LIMS Laboratory Information Management System TAM Technology acceptance model PU Perceived usefulness PEU Perceived ease to use ATU Attitude toward using Behavioral intention to use BI ẠI Đ C Ọ H À Đ G ẴN N iv ĐẠI HỌC ĐÀ NẴNG CỘNG HÒA XÃ HỘI CHỦ NGHĨA VIỆT NAM TRƯỜNG CĐ CÔNG NGHỆ THÔNG TIN Độc lập – Tự – Hạnh phúc THÔNG TIN KẾT QUẢ NGHIÊN CỨU Thông tin chung: - Tên đề tài: XÂY DỰNG HỆ THỐNG QUẢN LÝ PHÒNG MÁY THỰC HÀNH TẠI TRƯỜNG CĐ CNTT - Mã số: T2017-07-09 Đ ẠI - Chủ nhiệm: Phan Trọng Thanh H - Thành viên tham gia: Nguyễn Anh Tuấn Ọ C - Cơ quan chủ trì: Trường Cao đẳng Công nghệ Thông Tin Đ À - Thời gian thực hiện: 04/2017 đến 12/2017 ẴN N Mục tiêu: - Xây dựng hệ thống website quản lý lịch thực hành, nhờ giảng viên G dễ dàng nắm lịch dạy thực hành mình, biết cán phịng máy trực thời điểm cụ thể Khi có cố bất ngờ xảy ra, giảng viên đăng thơng báo trực tiếp hệ thống, cán phịng máy thơng báo kịp thời đến sinh viên - Hệ thống website cịn quản lý sở vật chất phòng thực hành Nhờ vào hệ thống, cán phòng máy thuận tiện việc quản lý thiết bị phòng máy Khi có cố máy hỏng, giảng viên trực tiếp ghi hệ thống nội dung chi tiết hỏng hóc, tạo điều kiện thuận lợi cho cán phòng máy việc sửa chữa kịp thời - Hệ thống hỗ trợ cho tương tác cán phòng máy giảng viên trở nên thuận tiện dễ dàng v Tính sáng tạo: - Xây dựng hệ thống quản lý phòng máy thực hành phù hợp đáp ứng với đặc thù công tác cán phịng máy trường Cao đẳng Cơng nghệ Thơng Tin Tóm tắt kết nghiên cứu: - Tiến hành tìm hiểu tổng quan nghiên cứu đề tài, khảo sát nhu cầu công việc thực tế cán phịng máy trường Cao đẳng Cơng nghệ Thơng tin - Phân tích, thiết kế tính cần thiết xây dựng hệ thống quản lý phòng máy - Thực nghiệm hệ thống hình thức khảo sát mức độ hài lòng đối tượng sử dụng hệ thống Đ Tên sản phẩm: ẠI Website quản lý phịng máy thực hành trường Cao đẳng Cơng nghệ Thông tin H Ọ Hiệu quả, phương thức chuyển giao kết nghiên cứu khả áp dụng: C Có khả áp dụng vào cơng tác quản lý phòng máy đơn vị À Đ Chủ nhiệm đề tài G ẴN N Cơ quan chủ trì Đà Nẵng ngày 24 tháng 12 năm 2017 Phan Trọng Thanh INTRODUCTION Reasons The current system is just able to work with module that integrated in schedule on the website of official of academic affairs, there is no integrated module yet for lab room’ staff (IT) on the mobile platform In addition, some of the management functions that necessary for IT is not met the requirement such as tracking the number of broken machinery; interaction between lecturers and IT whenever there is an urgent inform, needed installed software or statistics on students' activities on computer room equipment In most cases, the basic ẠI Đ processes for running a computer lab are not computerized at all, this results in the following problems, just to name a few: IT not have effective means to H maintain and query the list of users known for malicious activities (fig 1) C Ọ À Đ G ẴN N Fig The borrowings - check out the lab, lecturers have to write on papers There is no way for a lab assistant to know that a student signing in to use a workstation damaged a huge amount of money of equipment Room occupancy cannot be managed Lab rooms staff in an exactly day cannot tell whether any room are available, whether another is booked for a class, under-occupied or has + Equipment inventory has been liquidated: listed lists of equipment have been liquidated + Equipment damage, loss + Statistics of equipment by type: Statistics by type of equipment, what equipment + Report on equipment efficiency: report on the performance of equipment during use: good quality, reach or not + Statistics check in - check out the practice room 2.5 Some demo system figures ẠI Đ C Ọ H À Đ G ẴN N Fig 2.1 Demonstration of laboratory equipment management 10 ẠI Đ H Fig 2.2 Demonstration of equipment scheduling functionality C Ọ À Đ G ẴN N 11 CHAPTER EXPERIMENTAL, SURVEY AND EVALUATION We have built a web-based interactive system, after that we deploy an experimental setup on the proposed system Finally, we create a survey of system function requirements from lecturers and lab rooms staff, analysis the survey data using SPSS and AMOS software in order to make sure whether lecturers will accept the system 3.1 Purposes of studying First, the purposes of this study provide a comprehensive view of the factors affecting behavioral intention to use – a key factor that user acceptable use lab ẠI Đ management system The main contribution of this study is to show the level of impact of individual factors to attitude and behavioral intent to use Ọ H Second, the objective of the study also has practical implications show that the C important of each element so that the services providers can understand the user À Đ psychology and improve their system Finally, the purposes of this research are: determining the factor responsible for the adoption of lab management system N ẴN 3.2 Technology acceptance model (TAM) G The theory of reasoned action (TRA), created by Fishbein and Ajzen (1975) is the premise for developing a model of the tremendous influence This is technology acceptance model (TAM) Many studies explain and predict human behavior in many different fields through the use of model TRA (Chen, Gllenson & Sherrell, 2002) Fred Davis and Richard Bagozzi is the first person to propose and develop technology acceptance models (Davis 1989, Bagozzi, Davis & Warshaw 1992) Technology acceptance has been defined as “an individual's psychological state with regard to his or her voluntary or intended use of a particular technology” (Gattiker, 1984) The original technology acceptance model is formed by the main components such as perceived ease to use (PEU), perceived usefulness (PU), attitude toward using (ATU), behavioral intention to use (BI), and actual system use (AU) The two most significant 12 components forming the user behavior with the system are perceived ease to use and perceived usefulness The attitude toward using indirectly influences user’s actual system use through behavioral intention to use The technology acceptance model received the attention and support of many researchers since its inception in 1989 (Chen, Fan, & Farn, 2007) TAM is used as a powerful tool to determine the behavior of users on a technology and evaluate this technology (Joo & Sang, 2013) A series successful in predicting and explaining the use of new technology based on technology acceptance model (Rho, Choi, & Lee, 2014) Perceived ease to use and perceived usefulness have been proven to identify the attitude of the users towards a particular technology This has been ẠI Đ confirmed with a lot of research has successfully used model to predict the acceptance of users toward using new technologies Previous researches have Ọ H also proven behavioral intention to use was influenced, either directly or C indirectly, by perceived ease to use through perceived usefulness (Davis 1989, À Đ Jackson, Chow & Leitch, 1997) Many researchers suggest that TAM needs to be upgraded and developed further in order to become stronger and more N ẴN effective in assessing technology (Legris & Ingham, 2003) TAM was used to G examine the adoption of lab management system and likely to show connections between components in the model Thus, this study used technology acceptance model such as method to identify the role of psychological factors in the acceptance of users toward lab management system 3.2.1 Perceived usefulness (PU) Perceived usefulness (PU) was defined by Fred Davis as "the degree to which a person believes that using a particular system would enhance his or her job performance" (Davis, 1989) Schultz and Slevin (1975) and Robey (1979) had proposed the perceived usefulness have a tremendous impact to the using system of user (Davis, 1989) Perceived usefulness has been proven by technology acceptance model is strong determinant of attitudes and behaviors using toward specific service and systems (Davis, 1989) Many previous studies (e.g., Jooand Sang, 2013; Wu and Wang, 2005; Park and Kim, 2013, 2014) have used TAM and demonstrate once again 13 the attitude toward using and behavioral intention to use are positive impacts from perceived usefulness In human psychology, the characteristics of perceived usefulness mean is: users tend to decide using applications based on the functionality which it provides for them, and secondarily system is easy or difficult to perform functions and provide utility to users (Davis, 1989) 3.2.2 Perceived ease to use (PEU) Perceived ease-of-use (PEU) - Davis defined this as "the degree to which a person believes that using a particular system would be free from effort" (Davis 1989) The perceived ease to use is one of the important factors that greatly influenced the attitude and behavior using toward specific service and systems In the awareness of users, perceived ease to use is an indispensable component Đ ẠI assesses the usefulness of the technology The users will also easily be H discouraged if service too difficult to use Many studies on the application of C Ọ new technology has also demonstrated enormous role of perceived ease to use Đ (Davis, 1989) Every new technology is quite difficult to understand and use, À this thing creates the importance of ease of use for the user's awareness and it N greatly affects the adoption of using technology According to some previous ẴN researches, PEU is constituted from elements such as cognitive absorption, G intrinsic motivation and computer anxiety (Saadé & Kira, 2007) 3.2.3 Attitude toward using (ATU) In the theory of reasoned action, attitude toward using (ATU) is an important component (Ajzen & Fishbein, 1977) The theory of reasoned action (TRA) mentioned that subjective perception and attitude of a person create their intention to engage in a particular behavior (Ajzen, 1991; Ajzen and Fishbein, 1977) TRA also indicates that attitude is consent or objection to a specific object or just feelings about particular target (Ajzen, 1991; Ajzen and Fishbein, 1977) Attitude towards using a technology was defined as “the degree of evaluative affect that an individual associate with using a system in his or her job” (Davis, 1989) In some previous studies, many researchers believe that before system development when users listen about that system, they had formed a vague beliefs and attitudes toward this system The technology acceptance 14 model (TAM) has demonstrated strong correlation between attitude toward using and behavioral intention to use (Park & Kim, 2013) Thus, this study applied and expands the correlation between attitude toward using and behavioral intention to use 3.2.4 Behavioral intention to use (BI) Behavioral intention (BI) is defined as cognitive abilities of a person and the probability that they will participate in a certain behavior (Davis, 1989) In addition, behavioral intention was also defined as planning intentions of a person to perform or not perform a certain behavior in the future (Warshaw and Davis, 1985) According to Theory of Planned behavior (Ajzen, 1991) and the Theory of Reasoned Action (Fishbein & Ajzen, 1975) which indicated that behavioral intention is a is an important factor used to determine actual behavior Performance expectancy, social influence, ẠI Đ effort expectancy, and facilitating conditions are the factors establish behavioral intention of user to use a technology (Venkatesh et al, 2008) Behavioral intention has H the ability to change behavior in the future (Walker et al., 2001, McLachlan et al., Ọ C 2011 and Eccles et al., 2012) and identify the specific action to perform some certain À Đ behaviors (Walker et al., 2001) According to Theory of Planned Behaviour (TPB), intention is a prerequisite and motivation to build the behavior of a person (McLachlan N ẴN et al., 2011 and Eccles et al., 2012) Behavioural intention is affected by many factors such as self-efficacy, constructs of attitude, and social norm (Yvonne J et al, 2014) G 3.3 Conceptual model The model of this research was built from technology acceptance model (Davis, 1989) The term “behavioral intention to use” determines the acceptance of user with a new technology Thus, behavioral intention to use like a most important factor which make fundamental to develop the model There is reason to say behavioral intention to use is significant factor because it decided the number of user which influences directly to reputation and profits of service providers Therefore, determining behavioral intention to use will help service vendors upgrade and improve services more appropriate to users Moreover, they can increase revenue and maintain competitive advantage 15 Attitude toward using is a multidimensional factors including affection, awareness, behavioral and it directly influence on the behavior intention to use (Fishbein & Ajzen, 1975) Many previous studies have proven that attitude toward using positively correlated behavioral intention to use (Davis, 1989; Yuvaraj, 2013; Park and Kim, 2014) Thus, other elements were used to make relation to attitude toward using like, perceived usefulness, perceived ease to use As a result, based on the above analysis and interact the influence on relationship between research construct, this research selects to integrate the perceived usefulness, perceived ease to use, attitude toward using behavioral ẠI Đ intention to use from original technology acceptance model in lab management system and establishes the model for this study We have built a web-based Ọ H interactive system, after that we deploy an experimental setup on the proposed C system Finally, we create a survey of system function requirements from À Đ lecturers and lab rooms staff, analysis the survey data using SPSS and AMOS software in order to make sure whether lecturers will accept the system The N G ẴN conceptual model of this study is presented in figure below: The conceptual model of this study is presented in figure below: Fig 3.1 Conceptual model of the survey 3.4 Research Hypotheses Based on the above conceptual model the following five hypotheses will be used to check: Based on the above conceptual model the following five hypotheses will be used to check: 16 - H1: Perceived ease to use will have positive effect on perceived usefulness in the computer lab management system - H2: Perceived usefulness will have positive effect on attitude toward using in the computer lab management system - H3: Perceived ease to use will have positive effect on attitude toward using in the computer lab management system - H4: Perceived usefulness will have positive effect on behavioral intention to use in in the computer lab management system - H5: Attitude toward using will have positive effect on behavioral intention to use in in the computer lab management system ẠI Đ 3.5 Operational Definition In the context of this study, the elements of the research model are defined in the Ọ H table below: C Table 3.1 Factor definition Đ Factor Definition À ease to use using the computer lab management system improves G Perceived Perceived usefulness is the degree to which users believe that ẴN usefulness N Perceived effectiveness of their life and job performance Perceived ease to use is the degree to which users believes that using the computer lab management system would be free from effort Attitude Attitude toward using is the degree of evaluative affect that toward users with using the computer lab management system in using their life Behavioural Behavioural intention to use is the degree to which users has intention to formulated conscious plans to use or not use the computer use lab management system in future 17 3.6 Questionnaire Design The questionnaire design followed a sequential step by step process Firstly, this study refers to the different previous literatures to design the questionnaire items for the survey Then, the pre-test was implementing on lecturers who will use the computer lab management system Table 3.2 Survey questionnaire items Construct Reference Item Perceived PU I think the computer lab management system are useful to my usefulness (1) teaching time The computer lab management system improves my work Đ performance ẠI The computer lab management system enhances the effectiveness of H my teaching C Ọ The computer lab management system helps my teaching more convenient Using the computer lab management system does not require a lot of ẴN computer skills N (1) I found that the computer lab management system easy to use À PEU Đ Perceived ease to use It is easy for me to remember how to using the computer lab G management system My interactions with the computer lab management system are clear and understandable Attitude toward using ATU (2) I think using the computer lab management system is beneficial to me I think using the computer lab management system is a good idea I feel excited when I use the computer lab management system Behavioural intention to use BI (1) ;(3) I intend to continue using the computer lab management system in future I intend to the computer lab management system as often as possible I will continue to use the computer lab management system if I have access to the service I will recommend my colleagues to use the computer lab management system 18 Questionnaires were designed and delivered know lecturers’ feeling and thinking about usefulness, ease to use, attitude toward using, behavioral intention to use the computer lab management system The final questionnaire has 15 items which all are measured on a 5- point Likert scale, with for “extremely disagree”, for “disagree”, for “natural”, for “agree” and for “extremely agree” as well The next step is testing the structural model through AMOS software The structural model determines the interaction between the constructs or latent variables ẠI Đ C Ọ H À Đ G ẴN N Fig 3.2 Structural model First, this research again examines the model fit index of model The Normed Chisquare (χ²⁄df) is used to test in this step and it equal to 2.392 The χ²⁄df less than value of and matches to the requirements of model fit index The Adjusted Goodness-ofFit Index (AGFI) and Goodness-of-Fit index (GFI) follow requirement is great than value of 0.9 to achieve good model fit In this study, AGFI only equal to 0.852 and GFI equal to 0.885, but these two indexes can still be accepted when they great than value of 0.8 (Doll, Xia and Torkzadeh, 1994; MacCallum and Hong, 1997) The Comparative Fit Index (CFI) equal to 0.908 and match the theory is great than 0.9 The Root Mean Square Error of Approximation (RMSEA) is 0.072 and coincides with 19 theory is less than 0.08 Thus, these results pointed out that the model provides a fit to conduct the testing hypotheses Second, this study again examines the hypotheses The result shown that perceived ease to use had significant positive effects on perceived usefulness (H1, β = 0.401, t-value = 5.186, p-value < 0.001) Moreover, perceived ease to use also positive effects on attitude toward using (H3, β = 0.123, t-value = 2.283, p-value < 0.05) Perceived usefulness is found to have significant relationship with attitude toward using (H2, β = 0.196, t-value = 3.441, p-value < 0.001) Behavioural intention to use was significant positive influence from perceived usefulness and attitude toward using (H4, β = 0.479, t-value = 6.620, ẠI Đ p-value < 0.001; H5, β = 0.609, t-value = 7.939, p-value < 0.001) Description Supported / Not C Hypotheses Ọ H Table 3.3 Hypotheses testing result Đ supported PEU → PU H2 PU → ATU H3 PEU → ATU H4 PU → BI H5 ATU→ BI À H1 Supported Supported G ẴN N Supported Supported Supported Hypothesis one is perceived ease to use will have positive effect on perceived usefulness the computer lab management system The result indicated that perceived ease to use have a strongly positive influence to perceived usefulness In fact, a new technology that is easy to use or not is first concern that users learn about this technology The computer lab management system is improved and upgraded for easier to use on a regular basis by developers and this helps the using service gain maximum benefit that the user wishes Hypothesis two is perceived usefulness will have positive effect on attitude toward using in the usefulness the computer lab management system The result indicated that 20 perceived usefulness has a strongly positive influence to attitude toward using Attitudes of users evaluate that a technology is good or bad largely depends on the usefulness of this technology Hypothesis three is perceived ease to use will have positive effect on attitude toward using in usefulness the computer lab management system The perceived ease to use is also a significant factor making the attitude of user about the certain technology In fact, the psychology of human will feel depressed or tired when certain service is too difficult to learn and to use Hypothesis four is perceived usefulness will have positive effect on behavioral intention to use in the computer lab management system Perceived usefulness not only decides to attitude toward using but also influence to behavioral intention to use ẠI Đ The result presented that perceived usefulness have a strongly positive influence to behavioral intention to use The psychology of human would definitely not try to use H the service that can be considered not beneficial for them Ọ C Hypothesis five is attitude toward using will have positive effect on behavioral À Đ intention to use in use the computer lab management system Same as usefulness, attitude toward using is the key ingredient forming behavior intention to use of users N ẴN use the computer lab management system With a positive attitude, the user will make positive behavior and with a negative attitude, the user certainly gives a negative G behavior Based on their good evaluation about the system, the lecturers always have the intention to use the computer lab management system long-term in the future The hypotheses of this study indicate that CIT lecturers has a positive behavior in the using the computer lab management The behavior of users was strongly affected by perceived usefulness and attitude toward using This research has some limitation such as: First, the sample size of this study is not really big as there are not enough lecturers to collect larger sample size, so the sample size of the research only has averaged allows approved for use to conduct research With a larger sample size, the research will be achieved with higher reliability and validity levels Future research should collect more data to produce results in order to reflect more accurately about study Second, the study was conducted with data 21 collected in Danang Colleague of Information Technology only The study’s results might be different if the model was retested in a different college of universities ẠI Đ C Ọ H À Đ G ẴN N 22 CHAPTER CONCLUSION 4.1 The results of the thesis The topic was to study current machine room management solutions (both at home and abroad), then to analyze and analyze the system functions of lecturers and IT The thesis proposed to build a lab management system supporting a number of tasks for the management of laboratory rooms in Danang College of Information Technology The system has met a number of requirements that the current lab room cannot be resolved yet In addition, we have conducted some experiments, evaluating the system of a number of criteria and taking surveys ẠI Đ from lecturers Survey results are processed by AMOS and SPSS software and it showed that the system meets the initial criteria, the next task is to continue to Ọ H improve other platforms (mobile / offline) to have better support for laboratory C management Moreover, this implemented system will significantly reduce the À Đ number of paperwork and replace it with electronic work The system users noticed that the system provides results that were not available when the work N G 4.2 Existence, weakness ẴN was done manually using the traditional paper system Due to the limited development time of the system, some modules of the project have not been developed such as synchronous management of the laboratory in the laboratory together with the training system In addition, the author has not built a mobile application for users, currently only built in web applications 4.3 Future development We will continue to study and complete the current modules such as: Equipment management; Lab room, equipment scheduling; Interactive faculty with IT 23 REFERENCES Davis, F (1989) “Perceived usefulness, perceived ease of use, and user acceptance of information technology.”, MIS quarterly, 13(3), 319-340 Davis, F (1993) “User acceptance of information technology: system characteristics, user perceptions and behavioral impacts.”, International journal of man-machine studies, 38, 475-487 Davis, F., Bagozzi, R., & Warsahw, P (1989) “User acceptance of computer technology: a comparison of two theoretical models.”, Management science, 35(8), 982-1003 Software Development Center - University of Da Nang (SDC), (2014), “Training UD software Đ management Train”, ẠI http://software.sdc.udn.vn/en/industries/education Ọ H VietIntel Software Solutions, (2007), “TmProx training management software”, http://www.vietintel.vn/default?key=tmprox C Đ Sapio Sciences, (2010): Laboratory Information Management: So what is a LIMS?, À http://sapiosciences.blogspot.com/2010/07/so-what-is-lims.html Inc, (2014), Lab and (2005), "Netop School G Management, ẴN http://www.labandresourcescheduler.com/ Classroom Resource N LPC Scheduler and Netop System, Vision Pro",http://www.netop.com/ Tobias Doerffel, (2004), “iTALC - OpenSource classroom management, https://sourceforge.net/u/tobydox/profile/ 10 LabStats Software, (2004), “Computer Lab Monitoring and Reporting Software”, http://www.labstats.com