LIST OF TABLES
Table 2.2.4.1.1. Results of the analysis of the quality of the survey questionnaire using QUEST . Table 2.2.4.2.1. Statistics of the number of survey samples by major and course. Table 3.1.1. Students' awareness of the importance of self-study.
Table 3.1.2. Distribution of assessment levels on the importance of TH between male and female students
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Identify Rating Levels and Rating Scales
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of the islanders. Therefore, this indicator will be divided into two sub-indicators:
a1. Natural tourism attractiveness a2. Cultural tourism attractiveness
b. Tourist capacity
The two island communes in Quan Lan have different capacities to receive tourists. Minh Chau Commune is home to many standard hotels and resorts, attracting high-income domestic and international tourists. Meanwhile, Quan Lan Commune has many motels mainly built and operated by local people, so the scale and quality are not high, and will be suitable for ordinary tourists such as students.
c. Time of exploitation of Quan Lan Island Commune:
Quan Lan tourism is seasonal due to weather and climate conditions and festivals only take place on certain days of the year, specifically in spring. In Quan Lan commune, the period from April to June and from September to November is considered the best time to visit Quan Lan because the cultural tourism activities are mainly associated with festivals taking place during this time.
Minh Chau island commune:
Tourism exploitation time is all year round, because this is a place with a number of tourist attractions with diverse ecosystems such as Bai Tu Long National Park Research Center, Tram forest, Turtle Laying Beach, so besides coming to the beach for tourism and vacation in the summer, Minh Chau will attract research groups to come for tourism combined with research at other times of the year.
d. Sustainability
The sustainability of ecotourism sites in Quan Lan and Minh Chau communes depends on the sensitivity of the ecosystems to climate changes.
landscape. In general, these tourist destinations have a fairly high level of sustainability, because they are natural ecosystems, planned and protected. However, if a large number of tourists gather at certain times, it can exceed the carrying capacity and affect the sustainability of the environment (polluted beaches, damaged trees, animals moving away from their habitats, etc.), then the sustainability of the above ecosystems (natural ecosystems, human ecosystems) will also be affected and become less sustainable.
e. Location and accessibility
Both island communes have ports to take tourists to visit from Van Don wharf:
- Quan Lan – Van Don traffic route:
Phuc Thinh – Viet Anh high-speed boat and Quang Minh high-speed boat, depart at 8am and 2pm from Van Don to Quan Lan, and at 7am and 1pm from Quan Lan to Van Don. There are also wooden boats departing at 7am and 1pm.
- Van Don - Minh Chau traffic route:
Chung Huong high-speed train, Minh Chau train, morning 7:30 and afternoon 13:30 from Van Don to Minh Chau, morning 6:30 and afternoon 13:00 from Minh Chau to Van Don.
f. Infrastructure
Despite receiving investment attention, the issue of infrastructure and technical facilities for tourism on Quan Lan Island is still an issue that needs to be resolved because it has a direct impact on the implementation of ecotourism activities. The minimum conditions for serving tourists such as accommodation, electricity, water, communication, especially medical services, and security work need to be given top priority. Ecotourism spots in Minh Chau commune are assessed to have better infrastructure and technical facilities for tourism because there are quite complete and synchronous conditions for serving tourists, meeting many needs of domestic and foreign tourists.
3.2.1.4. Determine assessment levels and assessment scales
Corresponding to the levels of each criterion, the index is the score of those levels in the order of 4, 3, 2, 1 decreasing according to the standard of each level: very attractive (4), attractive (3), average (2), less attractive (1).
3.2.1.5. Determining the coefficients of the criteria
For the assessment of DLST in the two communes of Quan Lan and Minh Chau islands, the students added evaluation coefficients to show the importance of the criteria and indicators as follows:
Coefficient 3 with criteria: Attractiveness, Exploitation time. These are the 2 most important criteria for attracting tourists to tourism in general and eco-tourism in particular, so they have the highest coefficient.
Coefficient 2 with criteria: Capacity, Infrastructure, Location and accessibility . Because the assessment area is an island commune of Van Don district, the above criteria are selected by the author with appropriate coefficients at the average level.
Coefficient 1 with criteria: Sustainability. Quan Lan has natural and human-made ecotourism sites, with high biodiversity and little impact from local human factors. Most of the ecotourism sites are still wild, so they are highly sustainable.
3.2.1.6. Results of DLST assessment on Quan Lan island
a. Assessment of the potential for natural tourism development
For Minh Chau commune:
+ Natural tourism attractiveness is determined to be very attractive (4 points) and the most important coefficient (coefficient 3), so the score of the Attractiveness criterion is 4 x 3 = 12.
+ Capacity is determined as average (2 points) and the coefficient is quite important (coefficient 2), then the score of Capacity criterion is 2 x 2 = 4.
+ Exploitation time is long (4 points), the most important coefficient (coefficient 3) so the score of the Exploitation time criterion is 4 x 3 = 12.
+ Sustainability is determined as sustainable (4 points), the important coefficient is the average coefficient (coefficient 1), so the score of the Sustainability criterion is 4 x 1 = 4 points
+ Location and accessibility are determined to be quite favorable (2 points), the coefficient is quite important (coefficient 2), the criterion score is 2 x 2 = 4 points.
+ Infrastructure is assessed as good (3 points), the coefficient is quite important (coefficient 2), then the score of the Infrastructure criterion is 3 x 2 = 6 points.
The total score for evaluating DLST in Minh Chau commune according to 6 evaluation criteria is determined as: 12 + 4 + 12 + 4 + 4 + 6 = 42 points
Similar assessment for Quan Lan commune, we have the following table:
Table 3.3: Assessment of the potential for natural ecotourism development in Quan Lan and Minh Chau communes
Attractiveness of self-tourismof course
Capacity
Mining time
Sustainability
Location and accessibility
Infrastructure
Result
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
CommuneMinh Chau
12
12
4
8
12
12
4
4
4
8
6
8
42/52
Quan CommuneLan
6
12
6
8
9
12
4
4
4
8
4
8
33/52
b. Assessment of the potential for humanistic tourism development
For Quan Lan commune:
+ The attractiveness of human tourism is determined to be very attractive (4 points) and the most important coefficient (coefficient 3), so the score of the Attractiveness criterion is 4 x 3 = 12.
+ Capacity is determined to be large (3 points) and the coefficient is quite important (coefficient 2), then the score of the Capacity criterion is 3 x 2 = 6.
+ Mining time is average (3 points), the most important coefficient (coefficient 3) so the score of the Mining time criterion is 3 x 3 = 9.
+ Sustainability is determined as sustainable (4 points), the important coefficient is the average coefficient (coefficient 1), so the score of the Sustainability criterion is 4 x 1 = 4 points.
+ Location and accessibility are determined to be quite favorable (2 points), the coefficient is quite important (coefficient 2), the criterion score is 2 x 2 = 4 points.
+ Infrastructure is rated as average (2 points), the coefficient is quite important (coefficient 2), then the score of the Infrastructure criterion is 2 x 2 = 4 points.
The total score for evaluating DLST in Quan Lan commune according to 6 evaluation criteria is determined as: 12 + 6 + 6 + 4 + 4 + 4 = 36 points.
Similar assessment with Minh Chau commune we have the following table:
Table 3.4: Assessment of the potential for developing humanistic eco-tourism in Quan Lan and Minh Chau communes
Attractiveness of human tourismliterature
Capacity
Mining time
Sustainability
Location and accessibility
Infrastructure
Result
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Point
DarkMulti
Quan CommuneLan
12
12
6
8
9
12
4
4
4
8
4
8
39/52
Minh CommuneChau
6
12
4
8
12
12
4
4
4
8
6
8
36/52
Basically, both Minh Chau and Quan Lan localities have quite favorable conditions for developing ecotourism. However, Quan Lan commune has more advantages to develop ecotourism in a humanistic direction, because this is an area with many famous historical relics such as Quan Lan Communal House, Quan Lan Pagoda, Temple worshiping the hero Tran Khanh Du, ... along with local festivals held annually such as the wind praying ceremony (March 15), Quan Lan festival (June 10-19); due to its location near the port and long exploitation time, the beaches in Quan Lan commune (especially Quan Lan beach) are no longer hygienic and clean to ensure the needs of tourists coming to relax and swim; this is also an area with many beautiful landscapes such as Got Beo wind pass, Ong Phong head, Voi Voi cave, but the ability to access these places is still very limited (dirt hill road, lots of gravel and rocks), especially during rainy and windy times; In addition, other natural resources such as mangrove forests and sea worms have not been really exploited for tourism purposes and ecotourism development. On the contrary, Minh Chau commune has more advantages in developing ecotourism in the direction of natural tourism, this is an area with diverse ecosystems such as at Rua De Beach, Bai Tu Long National Park Conservation Center...; Minh Chau beach is highly appreciated for its natural beauty and cleanliness, ranked in the top ten most beautiful beaches in Vietnam; Minh Chau commune is also home to Tram forest with a large area and a purity of up to 90%, suitable for building bridges through the forest (a very effective type of natural ecotourism currently applied by many countries) for tourists to sightsee, as well as for the purpose of studying and researching.
Figure 3.1: Thenmala Forest Bridge (India) Source: https://www.thenmalaecotourism.com/(August 21, 2019)
3.2.2. Using SWOT matrix to evaluate Quan Lan island tourism
General assessment of current tourism activities of Quan Lan island is shown through the following SWOT matrix:
Table 3.5: SWOT matrix evaluating tourism activities on Quan Lan island
Internal agent
Strengths- There is a lot of potential for tourism development, especially natural ecotourism and humanistic ecotourism.- The unskilled labor force is relatively abundant.- resource environmentunpolluted, still
Weaknesses- Poorly developed infrastructure, especially traffic routes to tourist destinations on the island.- The team of professional staff is still weak.- Tourism products in general
quite wild, originalintact
general and DLST in particularalone is monotonous.
External agents
Opportunity- Tourism is a key industry in the socio-economic development strategy of the province and Van Don economic zone.- Quan Lan was selected as a pilot area for eco-tourism development within the framework of the green growth project between Quang Ninh province and the Japanese organization JICA.- The flow of tourists and especially ecotourism in the world tends toincreasing
Challenge- Weather and climate change abnormally.- Competition in tourism products is increasingly fierce, especially with other localities in the province such as Ha Long, Mong Cai...- Awareness of tourists, especially domestic tourists, about ecotourism and nature conservation is not high.
Through summary analysis using SWOT matrix we see that:
To exploit strengths and take advantage of opportunities, it is necessary to:
- Diversify products and service types (build more tourism routes aimed at specific needs of tourists: experiential tourism immersed in nature, spiritual cultural tourism...)
- Effective exploitation of resources and differentiated products (natural resources and human resources)
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The Problem of Cultivating Students' Self-Study Math Ability
Table 3.1.3: Kruskal Wallis test of the difference between male and female students in assessing the necessity of self-study
Table 3.2.1. Table describing the regulations on assessment levels

Table 3.2.2. Levels of students' self-study attitudes
Figure 3.2.1. Sample distribution in the self-study attitude criterion
Table 3.2.3. ANOVA analysis table
Table 3.2.4. Pearson correlation analysis table
Table 3.3.1.1. Table describing skills for building self-study plans
Table 3.3.1.2. Average scores of factors
Table 3.3.2.1. ANOVA analysis results
Table 3.3.3.1. Statistical table of average values of skill groups performed in class
Table 3.3.3.2: Overall average test results 2
Table 3.3.4.1. ANOVA analysis table for LVN skills of students of different majors
Table 3.3.5.1. Statistics of the level of performance of the GQVĐ skill
Table 3.3.5.2. Statistics of implementation level values for each criterion
Table 3.3.6.1. Levels of skills in assessing students' self-study results Table 3.3.6.2. Levels of implementing methods in skills in testing results Table 3.3.7.1. Correlation table between groups of self-study skills
Table 3.3.7.2. Table of average scores and standard deviations of each group
Table 3.4.1. Statistical table of self-study capacity values
Table 3.4.2. Levene test table
Table 3.4.3. Pearson correlation test between self-study ability and learning outcomes
Table 4.2.1. Model fit test
Table 4.2.2. ANOVA analysis table
Table 4.2.3. Table of estimated regression coefficients for the model
Table 4.2.4. Testing for independence of errors
Table 4.2.5. Multicollinearity test
INTRODUCTION
1. Reason for choosing the topic
The modern scientific and technological revolution is creating profound and comprehensive changes for the entire economy, gradually shifting from an industrial economy to a knowledge economy. The knowledge economy, with its basic characteristics of considering scientific and technological knowledge as an important means of production, has set many new requirements for education and training, including teaching and learning at universities. In the context of globalization, the amount of human knowledge increases exponentially, along with the global telecommunications network allowing rapid exchange of information, each person's access to human knowledge is very convenient and with such a large amount as today, schools cannot limit themselves to equipping learners with a certain amount of knowledge. Much more importantly, universities need to focus on nurturing and training students in learning methods, methods of exploiting and processing knowledge, in which, especially important are self-study and self-research methods. Only through self-study and self-research methods, after graduation, students will have enough ability to enrich their knowledge, better serving practical activities.
Improving students’ self-study and research abilities must be a core task of universities, especially for teacher training colleges. Because students of teacher training colleges will later become teachers in high schools, with the important task of nurturing and training high school students in self-study methods, proactive and positive learning methods. More than anyone else, they themselves need to be equipped with those skills right from their university days.
Article 40, Section 2 of the amended Law on Education, effective from July 1, 2010, clearly states: "Training methods at college and university levels must attach importance to fostering self-learning awareness, self-study and research capacity, developing creative thinking, practicing practical skills, and creating conditions for learners to participate in research, experimentation, and application."
The current regulations on regular university and college training according to the credit system of the Ministry of Education and Training allow students to be more autonomous in their studies. Accordingly, students can calculate their time and capacity to be able to regulate their studies in each semester in the most appropriate way.
However, in reality, the training of self-study and self-research skills for students in universities and colleges today still has many shortcomings. The report of the National Assembly's Committee on Culture, Education, Youth, Adolescents and Children on November 15, 2004 stated: "The quality of education is generally weak and inadequate; the examination-based learning method is still heavy, education only focuses on imparting knowledge to cope with exams, not on building creative thinking, self-study, self-research...". Self-study and self-research are extremely necessary skills for students, especially for students in pedagogical fields. Training self-study and self-research skills for students to achieve good results must be based on theoretical foundations and especially on scientific data on the current self-study and self-research abilities of students in different training fields. Therefore, I chose the topic "Assessing the self-study ability of students of pedagogical majors trained under the credit system at Da Nang University of Education" as the topic of my master's thesis in Measurement and Evaluation in Education.
- Expectations from the research results of the topic:
The research results of the topic are expected to be measures of self-study capacity of pedagogical students trained under the credit system at Da Nang University of Education. In addition, the expected results from the topic are analyses of factors affecting self-study of students in the research group. These results will be the scientific basis for fostering self-study capacity for pedagogical students at the local school and training units with similar characteristics.
2. Purpose and research tasks of the topic
- Building a toolkit to measure self-study capacity of engineering students
Criminals are trained under the credit system at Da Nang University of Education.
- Use that toolkit to assess students' current self-study ability.
Teachers of pedagogical majors are trained under the credit system at the School.
- Research analyzes some main factors affecting the self-study ability of these students.
3. Research limitations of the topic
- The research topic is limited to the group of students of pedagogical majors of the University of Education - Danang University trained under the credit system from 2010 to 2013.
- The topic only evaluates self-study capacity in studying at school, but self-study and self-research capacity while working is not mentioned within the framework of this thesis.
4. Research question/hypothesis
4.1.Research question:
Question 1 : What is the self-study capacity of university students in pedagogical majors trained under the credit system from 2010 to 2013?
Question 2 : What factors affect students' self-study ability and how do they affect their self-study ability?
4.2. Research hypothesis
It is hypothesized that students have the ability to self-study in two aspects:
- Students have had the right awareness of the role of self-study and have
right attitude towards self-study
- Students have developed important skills in self-study.
The hypothesis is that factors affecting students' self-study ability include:
- Group of external factors: Teaching methods of lecturers; Assessment methods; School facilities; Number of years of university study; Place of residence before university study.
- Group of internal factors: Gender; Average score of the most recent semester; Ability
foreign language skills; self-study time.
5. Research object and subject
5.1. Research subjects.
Self-study ability of university students of pedagogical majors and factors affecting self-study.
5.2. Research object:
Full-time students were trained under the credit system from 2010 to 2013 in pedagogical university majors at 10 faculties of Da Nang University of Education.
6. Research methods
6.1. Document review method
Using methods of analysis, synthesis, and systematization of documents to build a theoretical basis for self-study capacity.
6.2. Survey method :
Conducted through two main steps: preliminary research and formal research:
- Preliminary research: Conducted through qualitative methods, using group discussion techniques to supplement the model and test the questionnaire.
- Official research: Conducted through quantitative research methods, using information collection techniques through questionnaires of 900 students from 10 faculties of the School.
6.3. In-depth interview method
In-depth interviews were used to supplement and confirm the accuracy of the information obtained through the questionnaire. In-depth interviews were conducted with 30 students who self-assessed their self-learning ability and 20 lecturers who assessed their students' self-learning ability.
6.4. Mathematical statistical methods
Analyze collected data using descriptive and inferential statistics such as percentages, frequency, correlation, and regression to answer research questions. Use statistical software such as SPSS, QUEST, etc.
in performing statistical calculations and determining the quality of the toolkit.
7. Scope of research
The topic only evaluates the self-study ability in school learning of students of pedagogical majors of Da Nang University of Education trained under the credit system from 2010 to 2013 at 10 faculties representing 2 majors of natural sciences and social sciences and humanities: 5 faculties of Mathematics, Informatics, Chemistry, Physics, Biology-Environment representing the major of natural sciences and 5 faculties of Literature, History, Geography, Political Education, Primary-Preschool representing the majors of social sciences and humanities.
8. Sampling method
8.1. Selecting survey subjects using questionnaires
The thesis conducted random, stratified and cluster sampling of 10 faculties of Danang University of Education, representing different groups of majors selected as above.
At each faculty, 03 classes of the pedagogical block in 3 training courses from year 1 to year 3 were selected (each class randomly selected 30 students). The number of students given questionnaires was randomly taken from the list of each class. The total number of students given questionnaires was 900.
8.2. Selecting a sample of in-depth interview subjects
At each faculty, 3 students representing 3 courses from year 1 to year 3 were randomly selected; and 2 lecturers. Thus, 30 students and 20 lecturers were selected as subjects for in-depth interviews.
9. Sample description
After collecting the questionnaires, there were 851 valid questionnaires. Of the 851 students who answered the questionnaire, 729 were female and 122 were male. The survey results showed that the ratio of male and female students studying pedagogy at Da Nang University of Education was very different. The analysis results also showed that there were more students from rural areas than from urban areas - 687 students had a place of residence before entering university in rural areas.
(accounting for 80.73%), 164 students had a place of residence before entering university in urban areas (accounting for 19.27%). The students' academic results were at an average level, the average final score of the semester near the time of the survey of these students was 2.9.
10. Structure of the thesis
Introduction Contents:
Chapter 1: Theoretical basis and overview
Chapter 2: Research methods and procedures
Chapter 3: Research results on self-study capacity of students in different majors
Pedagogy of Danang University of Education Chapter 4: Factors affecting students' self-study ability Conclusion





