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Journal of Education and Practice                                                                        www.iiste.org
ISSN 2222-1735 (Paper)      ISSN 2222-288X (Online)
Vol 3, No 11, 2012


 Analysis of Geo-informatics Teaching Capabilities of Teachers in
     Thai High Schools by Geographic Information System
                                            Savittri Ratanopad Suwanlee*
           Department of Geography, Faculty of Humanities and Social Sciences, Mahasarakham University,
                            Kantarawichai District, Maha Sarakham Province 44150, Thailand
                            *E-mail of the corresponding author: savittri.s@msu.ac.th
The research is financed by Faculty of Humanities and Social Sciences Mahasarakham University

Abstract
This study was aimed to create criteria and develop a teaching capability model of geo-informatics in Thai high
Schools. The 19-item-closed questionnaires, developed using key information in social studies strands approved
by the Ministry of Education and weightings of major and minor criteria judged by 10 geo-information experts,
were responded by 57 teachers of geo-informatics as target group and interviews were made with the same group.
The questionnaire data gained were used to construct the GIS Model to assess teaching geo-informatics
capabilities in schools. Weighting criteria as the most important criteria included personnel (73%), tool (16%), and
teaching methods (11%). The most important minor criteria consisted of experience (28%) and training (12%), and
geo-informatics teachers (9%). Based on analysis of geo-informatics teaching capabilities in schools, as a whole,
schools’ capabilities in teaching geo-informatics were found at high (12%), moderate (26%), low (54%), and the
lowest (7%) levels respectively.
Keywords: Geo-informatics, Social Studies Teachers in High Schools, GIS

1. Introduction
Presently, geo-informatics has been a teaching tool for teaching geography from elementary to college levels
(Bednarz & Van der Schee 2006; Demirci & Karaburun 2009; Kemp 1997; Melissa & Bradley 2011). In Thailand,
as stipulated in the High School Curriculum under the National Education Act, and Basic Education Curriculum
B.E. 2551 (2008), the Ministry of Education has emphasized use of geo-informatics tools in Social Studies classes
for Grades 10-12 (Ministry of Education 2008). The aforementioned tools are called “3S” and comprise Remote
Sensing (RS), Geographic Information System (GIS) and Global Positioning System (GPS) (Geo-Informatics and
Space Technology Development Agency 2009).
      The objectives of teaching and learning of geo-informatics are that students will understand issues about
geology more clearly and widely and be able to develop their thinking and learning processes such as environment,
economy, history, society, science, agriculture, and so on (Overman 2008; Johanson 2003; Kerski 2003; Bednarz
2004). In addition, teachers of geography need to teach geo-informatics in school since they will be able to analyze
spatial and attribute data which contribute to image and statistic data. Such data can be used to construct a spatial
model (Taylor & Johnson 1995) and enhance teaching and learning of geography as a tool to verify solutions to
environmental problems which vary according to diverse areas. Geo-informatics then becomes a prominent tool
for business world in the 21st century.
      Digital data from geo-informatics were applied into planning, educational management (Banskota 2009), data
collection including physical and resource allocation, school efficiency and development of the World’s learning
(Suwanlee 2010) as well as environmental analysis and problem resolution at the local level (Bednarz 2004). Such
issues are related to strategies on scientific and technology development.
      From previous literature review, geo-informatics teaching in schools was classified into 2 groups, that is,
“teaching with GIS” referring to teaching and explaining about the GIS and “teaching about GIS” requiring
teaching aids as examples of GIS (Lemberg & Stoltman 2001; Kerski 2003; Bednarz 2004). Evidently, the use of
the GIS in the US in 2000 was less than 5% and the UK, France, Sweden and Finland obtained the GIS (54.9%)
which had not been used (OFSTED 2004). The use of the GIS in New Zealand was about 8% (Olsen 2002), while
the highest usage rate was in Singapore, making 43.8% (Yap et al. 2008). Both developed and developing
countries were likely to encounter curriculum problems (Johanson 2006). Although developing countries,
including Thailand, have added geo-informatics topics to the curriculum since 2002, they do not have
geo-informatics experts, textbooks, computers, equipment and software (Hunter & Lewandowski 2004; Lloyd
2001; Ottesen 2006; Zhang 2007; Keengwe & Onchwari 2008; Suwanlee 2010). Such problems seem to be
obstacles for teaching and learning geo-informatics in those countries.
      However, on the same issues, there has been no research on the assessment of geo-informatics teaching
capabilities at schools in Thailand. Therefore, this research is considered the basic step to develop geo-informatics
teaching in schools in Thailand and Maha Sarakham Province, which is the educational center for teacher



                                                         30
Journal of Education and Practice                                                                       www.iiste.org
ISSN 2222-1735 (Paper)      ISSN 2222-288X (Online)
Vol 3, No 11, 2012

professional learning, was a research site. This study covered prominent criteria used to prioritize geo-informatics
teaching capabilities and develop a database on assessment of teaching capabilities of teachers of social studies
courses. To this respect, the GIS was employed as a tool for assessing geo-informatics teaching capabilities. The
results would be used as guidelines to develop teaching capabilities and to enhance the efficiency of the schools
and teachers.

2. Materials and Methods
Maha Sarakham province, locally known as “Takkasilanakhon” or “Center of Education”, has several higher
educational institutions. It has been a destination of many students from all over Thailand and become the center of
the teacher professional learning. As a result, the researcher chose Maha Sarakham Province as a research site to
develop a geo-informatics teaching database of 57 teachers of Social Studies courses who represented 57 high
schools throughout Maha Sarakham province (Figure 1). To reach the objectives of the present study, the
geo-informatics teaching information for high schools designed in Basic Education Curriculum B.E. 2551 (2008)
by the Ministry of Education was used as descriptors for designing questionnaires.
2.1 Research Tools
To collect latitudes and longitudes of schools, the filed survey tools consisted of the GPS and topographic maps of
scales 1: 50,000 of the Royal Thai Survey Department. Questionnaires were used to collect general information of
schools, teachers and teaching tools. The ArcMap 10 Program with the PC was used to analyze geo-informatics
teaching capabilities.
2.2 Data Analysis
2.2.1 Factor Affecting Prioritization
To test the factors affecting geo-informatics teaching capabilities, variables and weights of factors were
determined by 10 experts comprising the Director of Educational Regional Area, school directors, domestic and
international university lecturers (geography), geo-informatics experts and school teachers. Later, the Analytic
Hierarchy Process (AHP) was conducted and used to determine the factors in the following 3 steps: 1) 10 experts
indicated whether or not they agreed upon the proposed major factors and minor factors (Figure 2); 2) 10 experts
compared pairs of major factors and determined their weights (Table 1); and 3) 10 experts considered the level of
importance of each minor factor and calculated their weights which constituted 100 in total.
3.2.2 Data Analysis (Questionnaire and Interview)
The 19-item-questionnaire in closed and open-ended format was constructed and then piloted to see whether the
items were reliable and understandable. Then, the complete questionnaires were posted to 57 teachers of
geo-informatics as informants. In the same time, telephone and in-person interviews were made with those
teachers to validate the data given as use of triangulation. The data were then analyzed by means of percentage.
3.2.3 Analysis of Geo-informatics Teaching Capabilities in Schools
Data gained in the study was used to prepare the database for the GIS and the process was as follows:
          • Spatial Data included data about administrative boundary and school locations which were
               determined by GPS and such data were compared with topographic map,
          • Attribute Data consisted of descriptive data about major and minor factors which were changed to
               tabulated data and transferred to database management system (DBMS),
          • Analysis of data in DBMS was a process of the data calculated by the GIS and ten experts weighed
               and rated each layer of the factors as shown in Figure 2. Then, the results of weightings and ratings
               were used to create the following equation using ArcMap 10 Program.
                                         S = W1R1 + W2R2 + W3R3 +…+WnRn
           W1…Wn : The weighting mean of the first factor to n
           R1…Rn : The rating of the data class of the first factor to n
With reference to data obtained from the questionnaire, the geo-informatics teaching capabilities of the teachers
who represented schools’ geo-informatics teaching capabilities as a whole were analyzed by the GIS, which was
used to create following the above equation.
Based on the assessment factors and standard scores, the teaching capabilities of the geo-informatics teachers
were divided into 4 levels. The interval scales were set as high level (2.51 - 3.00), moderate level (2.01 - 2.50),
low level (1.51- 2.00) and the lowest level (1.00 - 1.50), respectively.

4. Result
4.1 Analysis of Factors Affecting Geo-informatics Teaching Capabilities
When factors affecting geo-informatics teaching capabilities were assessed by 10 experts, the experts agreed
upon all major and minor criteria and the Analytical Hierarchy Process (AHP) by Expert Choice Program. With




                                                        31
Journal of Education and Practice                                                                      www.iiste.org
ISSN 2222-1735 (Paper)      ISSN 2222-288X (Online)
Vol 3, No 11, 2012

reference to the Pair wise Comparison, the weightings as used for constructing criteria were personnel (73%),
tool (16%) and teaching methods (11%) respectively.
The experts prioritized 19 minor criteria according to percentage because the Pair wise Comparison was not
improper and might provide incorrect results. The weighted average was the multiplication of weighting of
major and minor criteria. For the criteria for personnel in terms of experience and training, teaching hours, the
number of teachers, students, and teaching assistants, weighted averages were 28, 12, 9, and 6 respectively. For
the criteria for tools in aspects of computer and the Internet, the GIS, RS, GPS, textbook and video, and globe,
compass and map, weighted averages were 4, 3, 2, and 1 respectively. According to the criteria for teaching
methods with particular reference to GIS teaching, RS teaching, GPS teaching, content difficulty and teaching
procedures, and student performance, weighted averages were 2 and 1 respectively.
4.2 Geo-informatics Teaching Database
Based on the data gained from the questionnaire responded by 57 geo-informatics teachers of 57 high schools in
Maha Sarakham, the survey results were used to build a databases on geo-informatics teaching capabilities of
each school which were used as guidelines for constructing a model.
4.2.1 General Information of Geo-informatics Teachers
Geo-informatics teachers were female (51%) and male (49%). They aged 41-50 years (53%), followed by 50
years and over (21%) and 31-40 years (14%), respectively. Most of the geo-informatics teachers completed a
bachelor’s degree (81%) in geology, history, social studies, educational management, general management,
social development, psychology, whereas some (19%) held a master degree in educational management,
educational technology and Thai Studies. About 9% of the geo-informatics teachers completed geology
programs, so most of them encountered teaching difficulties. Most geo-informatics teachers have been teaching
Social Studies for more than 20 years (40%), followed by 10-20 years (36%), and 1-5 years (16%), respectively.
The school sizes were small (43%), middle (36%) and large (21%).
4.2.2 Information of Geo-informatics Teachers
The social studies course contents are categorized into 5 groups, namely, (1) contents about religion, morals, and
ethics, (2) contents about citizenship, culture and social living, (3) contents about economics, (4) contents about
history, and (5) contents about geography. Most teachers (70%) had weekly teaching loads of 11-20 hours and the
rest (30%) taught more than 20 hours per week. As a compulsory teaching duty, teachers mostly in small and
middle-sized schools have to teach almost every content which is expected to cover all 5 categories in one
semester. As a result, such teaching loads reduce their time for preparing materials and searching for more
information which turns out to be lack of knowledge and skills for such subjects.
      The teaching experiences of teachers of geo-informatics, usually using a variety of course books which
provided related topics and were approved by the Ministry of Education, were 1-5 years (61%), above 10 years
(16%) and 6-10 years (12%). Also, the number of teachers teaching only geo-informatics courses was more than 3
(44%), followed by 1 (28%) and 2 (19%) respectively. The number of students per class showed about 20 – 30
(40%), 31 – 40 (40%) and above 40 (18%). In terms of geo-informatics teaching, most teachers had never been
trained (82%) and the rest were trained only once two years ago (18%) because these teachers were not informed of
the training workshops and there were shortages of teachers in schools.
4.2.3 Geo-informatics Teaching Tool
In terms of provisions of computers for teaching and learning of geo-informatics, it was found that the ratio of a
computer per a student was at 1:1 – 1:5 (82%), followed by 1:6 – 1:10 (14%) and 1:11 – 1:15 (2%), respectively.
However, such computers were not implemented in most of the geo-informatics classes since they were taken for
computer classes. With reference to the Internet system, most schools had the Internet with normal speed (47%)
and slow speed (37%), while some schools had defected computers (16%). In addition, most schools had
difficulties in getting connected to the Internet system because schools often changed the Internet system which
caused problems on teaching and learning geo-informatics. In terms of use of the geo-informatics tools (GIS, RS,
and GPS), all schools (100%) had no such tools since most of the problems derived from teacher’s lack of
knowledge on using the tools as well as insufficient budgets. In aspects of use of textbooks for geo-informatics
courses, most schools (68%) used neither geo-informatics textbooks nor video, while some schools (32%) used
1-5 geo-informatics textbooks. For teaching aids such as globe, compass and map, most of the schools (91%)
obtained 1-5 pieces of obsolete globes, whereas every school had neither compass nor map, and some schools
(9%) had no teaching aids for geo-informatics at all.
4.2.4 Teaching Methods of Geo-informatics in Classroom
Teachers of geo-informatics of all schools (100%) had not been teaching the GIS program. Teachers of
geo-informatics of most schools (96%) had not been teaching RS, except for only 4% of those teaching this topic
for 1 -2 hours using the information from Google Earth. In a similar manner, the GPS had not been taught in




                                                        32
Journal of Education and Practice                                                                          www.iiste.org
ISSN 2222-1735 (Paper)      ISSN 2222-288X (Online)
Vol 3, No 11, 2012

most schools (98%), while 2% of the teachers of geo-informatics had been practicing for 1-2 hours because of
their own interest.
      In terms of the level of teacher’s understanding of the contents as content difficulty, it was found that 61% for
fairly low level, 32% for moderate level, and 7% for the lowest level. For teaching methods and information
exploitation, most teachers (68%) emphasized textbooks approved by the Ministry of Education as a major
information source, and the rest (32%) looked for another source such as the information on the Internet. As for the
follow-up activities, most teachers (95%) assigned students geo-informatics homework, while some teachers (5%)
did not have any assignment at all.
4.3 Analysis on Schools’ Geo-informatics Teaching Capabilities
According to the Weighting Overlay Model constructed based on obtained school database, it was found that
teachers’ teaching capabilities of geo-informatics were found at the lowest level (7%), the low level (54%), the
moderate level (26%), and the high level (3%) respectively as shown in Figure 3.

5. Conclusions
Both in practice and literature, there has no ranking of the importance level of factors in teaching and learning of
geo-informatics in Thai Educational System so far. This causes doubts and curiosity about why teaching of
geo-informatics has not been advanced in high schools in Thai contexts. The present study then revealed basic
information collected from a survey research. Overall, first, most of the teachers who teach geo-informatics
courses in high schools are about 45 years old on average and seem to be behind the time when new technology as
geo-informatics tools were introduced. Furthermore, they have too many teaching loads and are unable to
participate in the training workshops on geo-informatics tools elsewhere in Thailand. Second, budgets allocated
for new geo-informatics tools, textbooks, or even basic teaching aids such as globe, compass, and map are not
sufficient. To this respect, teachers who are assigned to teach geo-informatics courses manage such classes with
different textbooks and provide students with different information which causes different teaching methods
ending up with different results in term of contents and skills. Third, teaching methods of the geo-informatics
teachers are found limited since the teachers themselves lack content knowledge as well as skills in using
geo-informatics tools. To get these problems solved, most of the teachers turn to rely on what the textbooks
provide which could not give as much geo-informatics information as students are expected to learn. In sum, the
problems on geo-informatics taught in high schools in Maha Sarakham province reflect the skills in teaching
geo-informatics courses which teachers should obtain and what the schools themselves should provide to enhance
such capabilities.
      According to what the present study found as the objectives required, the information about personnel and
geo-informatics tools would be an example of basic guidelines for constructing online database for
geo-informatics teaching capabilities all over a country. In practice, regarding problems on personnel who are
responsible for geo-informatics courses, schools should assign the teachers who completed a program in
geo-informatics to teach such classes. If not, schools should provide teachers who have to take care of those
classes, but do not have much knowledge on geo-informatics with ample opportunity to take part in training
workshops on geo-informatics. In terms of teaching aids, Open Source on the Internet together with Google Earth
which are easy to be downloaded would be alternatives for replacing traditional teaching methods. Moreover, a
complete step of geo-information teaching capabilities requires co-ordinations and co-operations of different
sectors such as educational institutions, university lecturers, school directors, and teachers for improving standards
in teaching and learning geo-informatics in high schools throughout a country.

Acknowledgements
I would like to thank Faculty of Humanities and Social Sciences, Mahasarakham University for its grant. I would
also like to thank Assistant Professor Piboon Bunchai for his valuable advice. Without these, this project would
have not been completed.

References
Banskota, T. R. (2009), “Application of GIS as education decision support system (EDSS)”, Paper presented at
the ESRI Education User Conference, San Diego, CA.
Bednarz, S. W. (2004), “Geographic information systems: A tool to support geography and environmental
education”, GeoJournal, 60, 191-199.
Bednarz, S. W. & Van der Schee, J.(2006), “Europe and the United States: The implementation of geographic
information systems in secondary education in two contexts”, Technology, Pedagogy and Education, 15(2),
191-205.




                                                          33
Journal of Education and Practice                                                                 www.iiste.org
ISSN 2222-1735 (Paper)      ISSN 2222-288X (Online)
Vol 3, No 11, 2012

Demirci, A. & Karaburn, A. (2009), “How to make GIS a common educational tool in schools: Potentials and
implications of the GIS for teachers book for geography education in Turkey?”, Ozean Journal of Applied
Sciences, 2(2), 205-215.
Geo-Informatics and Space Technology Development Agency. (2009), “Space technology and Geo-Informatics”,
Bangkok, Amarin Printing & Publishing Public Company.
Hunter, B. & Lewandowski, A. S. (2004), “How GIS professionals help school teachers and students use GIS? ”,
Paper presented at the ESRI International User Conference, San Diego, CA.
Johanson, T. (2003), “GIS in teacher education-facilitating GIS application in secondary school geography”,
ScanGIS’2003 online Papers, 285-293.
Keengwe, J. & Onchwari, G. (2008), “Computer technology integration and student learning: Barrires and
Promise”, Journal of Science Education and Technology, 17, 560-565.
Kemp. (1997), “The NCGIA core curricula in GIS and remote sensing”, Transactions in GIS, 2(2), 181-190.
Kerski, J. J. (2003), “The implementation and effectiveness of geographic information systems technology and
methods in secondary education”, Journal of Geography, 102(3), 128-137.
Lemberg, D. & Stoltman, J. P. (2001), “Geography teaching and the new technologies: Opportunities and
Challenges”, Journal of Education, 183(3), 63-76.
Lloyd, W. J. (2001), “Integrating GIS into the undergraduate learning environment”, Journal of Geography, 100,
158-163.
Melissa, P. J. & Bradley, W. B. (2011), “The potential and possibilities for utilizing geographic information
systems to inform school library as place”, School Libraries Worldwide, 17(1), 1-10.
Ministry of Education. (2008), “Standards based curriculum in social sciences”, Bangkok, Kurusapa Ladprao
Printing Press.
OFSTED. (2004), “Office of ICT in school - the impact of government initiatives: Secondary geography.
Standards in Education 2004”, Report HMI2193.
Olsen, A. (2002), “Using GIS software in school teaching programmer: An initial survey”, New Zealand Journal
of Geography, 113, 17-19.
Ottesen, E. (2006), “Learning to teach with technology: authoring practiced identities”, Technology, Pedagogy
and Education, 15(3), 275-290.
Overman, H. G. (2008), “The New Palgrave Dictionary of Economics”, Plagrave, McMillan.
Suwanlee, S. R. (2010), “Geo-informatics and guideline on teaching development in higher secondary Schools”,
Paper presented at the Humanities and Social Sciences, Thammasat University, Bangkok, Thailand.
Taylor, P.J. & Johnston, R.J. (1995), “GIS and geography”, Ground truth: the social implications of geographic
information systems, Guilford Press, New York, 51-67.
Yap, Lee Yong, Ivy Tan, Geok Chin, Zhu Xuan & M. C. Wettasinghe. (2008), “An assessment of the use of
geographical information systems (GIS) in teaching geography in Singapore schools”, Journal of Geography,
107(2), 52-60.
Zhang, J. (2007), “A cultural look at information and communication technologies in Eastern education”,
Educational Technology Research and Development, 55, 301-314.

Dr.Savittri Ratanopad Suwanlee, is a full-time lecturer and head of Department of Geography, Faculty of
Humanities and Social Sciences, Mahasarakham University, Thailand. She received Doctoral Degree in Natural
Science in Cartography and Geo-information from University of Vienna, Austria in 2007.




                                                      34
Journal of Education and Practice                                                                   www.iiste.org
ISSN 2222-1735 (Paper)      ISSN 2222-288X (Online)
Vol 3, No 11, 2012




               Figure 1. A Survey of 57 High Schools in Maha Sarakham Province as a Research Site




                          Figure 2. Factors Affecting Geo-informatics Teaching Capabilities




                                                         35
Journal of Education and Practice                                                                                                   www.iiste.org
ISSN 2222-1735 (Paper)      ISSN 2222-288X (Online)
Vol 3, No 11, 2012



                                                 Table 1. Criteria for level of importance

      No.                            Important A than B                              Important B than A
                  Criteria A                                                                                               Criteria B




                                     Very High




                                                                                                            Very High
                                                           moderate




                                                                                          moderate
                                                                            equal
                                                    High




                                                                                                     High
                                                                      Low



                                                                                    Low
       1      Personal                  9           7      5          3     1       3     5          7           9      Tool
       2      Personal                  9           7      5          3     1       3     5          7           9      Teaching Methods
       3      Tool                      9           7      5          3     1       3     5          7           9      Teaching Methods




            Figure 3. Geo-Informatics Teaching Capabilities of High Schools in Maha Sarakham Province




                                                                            36
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Analysis of geo informatics teaching capabilities of teachers in thai high schools by geographic information system

  • 1. Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol 3, No 11, 2012 Analysis of Geo-informatics Teaching Capabilities of Teachers in Thai High Schools by Geographic Information System Savittri Ratanopad Suwanlee* Department of Geography, Faculty of Humanities and Social Sciences, Mahasarakham University, Kantarawichai District, Maha Sarakham Province 44150, Thailand *E-mail of the corresponding author: savittri.s@msu.ac.th The research is financed by Faculty of Humanities and Social Sciences Mahasarakham University Abstract This study was aimed to create criteria and develop a teaching capability model of geo-informatics in Thai high Schools. The 19-item-closed questionnaires, developed using key information in social studies strands approved by the Ministry of Education and weightings of major and minor criteria judged by 10 geo-information experts, were responded by 57 teachers of geo-informatics as target group and interviews were made with the same group. The questionnaire data gained were used to construct the GIS Model to assess teaching geo-informatics capabilities in schools. Weighting criteria as the most important criteria included personnel (73%), tool (16%), and teaching methods (11%). The most important minor criteria consisted of experience (28%) and training (12%), and geo-informatics teachers (9%). Based on analysis of geo-informatics teaching capabilities in schools, as a whole, schools’ capabilities in teaching geo-informatics were found at high (12%), moderate (26%), low (54%), and the lowest (7%) levels respectively. Keywords: Geo-informatics, Social Studies Teachers in High Schools, GIS 1. Introduction Presently, geo-informatics has been a teaching tool for teaching geography from elementary to college levels (Bednarz & Van der Schee 2006; Demirci & Karaburun 2009; Kemp 1997; Melissa & Bradley 2011). In Thailand, as stipulated in the High School Curriculum under the National Education Act, and Basic Education Curriculum B.E. 2551 (2008), the Ministry of Education has emphasized use of geo-informatics tools in Social Studies classes for Grades 10-12 (Ministry of Education 2008). The aforementioned tools are called “3S” and comprise Remote Sensing (RS), Geographic Information System (GIS) and Global Positioning System (GPS) (Geo-Informatics and Space Technology Development Agency 2009). The objectives of teaching and learning of geo-informatics are that students will understand issues about geology more clearly and widely and be able to develop their thinking and learning processes such as environment, economy, history, society, science, agriculture, and so on (Overman 2008; Johanson 2003; Kerski 2003; Bednarz 2004). In addition, teachers of geography need to teach geo-informatics in school since they will be able to analyze spatial and attribute data which contribute to image and statistic data. Such data can be used to construct a spatial model (Taylor & Johnson 1995) and enhance teaching and learning of geography as a tool to verify solutions to environmental problems which vary according to diverse areas. Geo-informatics then becomes a prominent tool for business world in the 21st century. Digital data from geo-informatics were applied into planning, educational management (Banskota 2009), data collection including physical and resource allocation, school efficiency and development of the World’s learning (Suwanlee 2010) as well as environmental analysis and problem resolution at the local level (Bednarz 2004). Such issues are related to strategies on scientific and technology development. From previous literature review, geo-informatics teaching in schools was classified into 2 groups, that is, “teaching with GIS” referring to teaching and explaining about the GIS and “teaching about GIS” requiring teaching aids as examples of GIS (Lemberg & Stoltman 2001; Kerski 2003; Bednarz 2004). Evidently, the use of the GIS in the US in 2000 was less than 5% and the UK, France, Sweden and Finland obtained the GIS (54.9%) which had not been used (OFSTED 2004). The use of the GIS in New Zealand was about 8% (Olsen 2002), while the highest usage rate was in Singapore, making 43.8% (Yap et al. 2008). Both developed and developing countries were likely to encounter curriculum problems (Johanson 2006). Although developing countries, including Thailand, have added geo-informatics topics to the curriculum since 2002, they do not have geo-informatics experts, textbooks, computers, equipment and software (Hunter & Lewandowski 2004; Lloyd 2001; Ottesen 2006; Zhang 2007; Keengwe & Onchwari 2008; Suwanlee 2010). Such problems seem to be obstacles for teaching and learning geo-informatics in those countries. However, on the same issues, there has been no research on the assessment of geo-informatics teaching capabilities at schools in Thailand. Therefore, this research is considered the basic step to develop geo-informatics teaching in schools in Thailand and Maha Sarakham Province, which is the educational center for teacher 30
  • 2. Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol 3, No 11, 2012 professional learning, was a research site. This study covered prominent criteria used to prioritize geo-informatics teaching capabilities and develop a database on assessment of teaching capabilities of teachers of social studies courses. To this respect, the GIS was employed as a tool for assessing geo-informatics teaching capabilities. The results would be used as guidelines to develop teaching capabilities and to enhance the efficiency of the schools and teachers. 2. Materials and Methods Maha Sarakham province, locally known as “Takkasilanakhon” or “Center of Education”, has several higher educational institutions. It has been a destination of many students from all over Thailand and become the center of the teacher professional learning. As a result, the researcher chose Maha Sarakham Province as a research site to develop a geo-informatics teaching database of 57 teachers of Social Studies courses who represented 57 high schools throughout Maha Sarakham province (Figure 1). To reach the objectives of the present study, the geo-informatics teaching information for high schools designed in Basic Education Curriculum B.E. 2551 (2008) by the Ministry of Education was used as descriptors for designing questionnaires. 2.1 Research Tools To collect latitudes and longitudes of schools, the filed survey tools consisted of the GPS and topographic maps of scales 1: 50,000 of the Royal Thai Survey Department. Questionnaires were used to collect general information of schools, teachers and teaching tools. The ArcMap 10 Program with the PC was used to analyze geo-informatics teaching capabilities. 2.2 Data Analysis 2.2.1 Factor Affecting Prioritization To test the factors affecting geo-informatics teaching capabilities, variables and weights of factors were determined by 10 experts comprising the Director of Educational Regional Area, school directors, domestic and international university lecturers (geography), geo-informatics experts and school teachers. Later, the Analytic Hierarchy Process (AHP) was conducted and used to determine the factors in the following 3 steps: 1) 10 experts indicated whether or not they agreed upon the proposed major factors and minor factors (Figure 2); 2) 10 experts compared pairs of major factors and determined their weights (Table 1); and 3) 10 experts considered the level of importance of each minor factor and calculated their weights which constituted 100 in total. 3.2.2 Data Analysis (Questionnaire and Interview) The 19-item-questionnaire in closed and open-ended format was constructed and then piloted to see whether the items were reliable and understandable. Then, the complete questionnaires were posted to 57 teachers of geo-informatics as informants. In the same time, telephone and in-person interviews were made with those teachers to validate the data given as use of triangulation. The data were then analyzed by means of percentage. 3.2.3 Analysis of Geo-informatics Teaching Capabilities in Schools Data gained in the study was used to prepare the database for the GIS and the process was as follows: • Spatial Data included data about administrative boundary and school locations which were determined by GPS and such data were compared with topographic map, • Attribute Data consisted of descriptive data about major and minor factors which were changed to tabulated data and transferred to database management system (DBMS), • Analysis of data in DBMS was a process of the data calculated by the GIS and ten experts weighed and rated each layer of the factors as shown in Figure 2. Then, the results of weightings and ratings were used to create the following equation using ArcMap 10 Program. S = W1R1 + W2R2 + W3R3 +…+WnRn W1…Wn : The weighting mean of the first factor to n R1…Rn : The rating of the data class of the first factor to n With reference to data obtained from the questionnaire, the geo-informatics teaching capabilities of the teachers who represented schools’ geo-informatics teaching capabilities as a whole were analyzed by the GIS, which was used to create following the above equation. Based on the assessment factors and standard scores, the teaching capabilities of the geo-informatics teachers were divided into 4 levels. The interval scales were set as high level (2.51 - 3.00), moderate level (2.01 - 2.50), low level (1.51- 2.00) and the lowest level (1.00 - 1.50), respectively. 4. Result 4.1 Analysis of Factors Affecting Geo-informatics Teaching Capabilities When factors affecting geo-informatics teaching capabilities were assessed by 10 experts, the experts agreed upon all major and minor criteria and the Analytical Hierarchy Process (AHP) by Expert Choice Program. With 31
  • 3. Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol 3, No 11, 2012 reference to the Pair wise Comparison, the weightings as used for constructing criteria were personnel (73%), tool (16%) and teaching methods (11%) respectively. The experts prioritized 19 minor criteria according to percentage because the Pair wise Comparison was not improper and might provide incorrect results. The weighted average was the multiplication of weighting of major and minor criteria. For the criteria for personnel in terms of experience and training, teaching hours, the number of teachers, students, and teaching assistants, weighted averages were 28, 12, 9, and 6 respectively. For the criteria for tools in aspects of computer and the Internet, the GIS, RS, GPS, textbook and video, and globe, compass and map, weighted averages were 4, 3, 2, and 1 respectively. According to the criteria for teaching methods with particular reference to GIS teaching, RS teaching, GPS teaching, content difficulty and teaching procedures, and student performance, weighted averages were 2 and 1 respectively. 4.2 Geo-informatics Teaching Database Based on the data gained from the questionnaire responded by 57 geo-informatics teachers of 57 high schools in Maha Sarakham, the survey results were used to build a databases on geo-informatics teaching capabilities of each school which were used as guidelines for constructing a model. 4.2.1 General Information of Geo-informatics Teachers Geo-informatics teachers were female (51%) and male (49%). They aged 41-50 years (53%), followed by 50 years and over (21%) and 31-40 years (14%), respectively. Most of the geo-informatics teachers completed a bachelor’s degree (81%) in geology, history, social studies, educational management, general management, social development, psychology, whereas some (19%) held a master degree in educational management, educational technology and Thai Studies. About 9% of the geo-informatics teachers completed geology programs, so most of them encountered teaching difficulties. Most geo-informatics teachers have been teaching Social Studies for more than 20 years (40%), followed by 10-20 years (36%), and 1-5 years (16%), respectively. The school sizes were small (43%), middle (36%) and large (21%). 4.2.2 Information of Geo-informatics Teachers The social studies course contents are categorized into 5 groups, namely, (1) contents about religion, morals, and ethics, (2) contents about citizenship, culture and social living, (3) contents about economics, (4) contents about history, and (5) contents about geography. Most teachers (70%) had weekly teaching loads of 11-20 hours and the rest (30%) taught more than 20 hours per week. As a compulsory teaching duty, teachers mostly in small and middle-sized schools have to teach almost every content which is expected to cover all 5 categories in one semester. As a result, such teaching loads reduce their time for preparing materials and searching for more information which turns out to be lack of knowledge and skills for such subjects. The teaching experiences of teachers of geo-informatics, usually using a variety of course books which provided related topics and were approved by the Ministry of Education, were 1-5 years (61%), above 10 years (16%) and 6-10 years (12%). Also, the number of teachers teaching only geo-informatics courses was more than 3 (44%), followed by 1 (28%) and 2 (19%) respectively. The number of students per class showed about 20 – 30 (40%), 31 – 40 (40%) and above 40 (18%). In terms of geo-informatics teaching, most teachers had never been trained (82%) and the rest were trained only once two years ago (18%) because these teachers were not informed of the training workshops and there were shortages of teachers in schools. 4.2.3 Geo-informatics Teaching Tool In terms of provisions of computers for teaching and learning of geo-informatics, it was found that the ratio of a computer per a student was at 1:1 – 1:5 (82%), followed by 1:6 – 1:10 (14%) and 1:11 – 1:15 (2%), respectively. However, such computers were not implemented in most of the geo-informatics classes since they were taken for computer classes. With reference to the Internet system, most schools had the Internet with normal speed (47%) and slow speed (37%), while some schools had defected computers (16%). In addition, most schools had difficulties in getting connected to the Internet system because schools often changed the Internet system which caused problems on teaching and learning geo-informatics. In terms of use of the geo-informatics tools (GIS, RS, and GPS), all schools (100%) had no such tools since most of the problems derived from teacher’s lack of knowledge on using the tools as well as insufficient budgets. In aspects of use of textbooks for geo-informatics courses, most schools (68%) used neither geo-informatics textbooks nor video, while some schools (32%) used 1-5 geo-informatics textbooks. For teaching aids such as globe, compass and map, most of the schools (91%) obtained 1-5 pieces of obsolete globes, whereas every school had neither compass nor map, and some schools (9%) had no teaching aids for geo-informatics at all. 4.2.4 Teaching Methods of Geo-informatics in Classroom Teachers of geo-informatics of all schools (100%) had not been teaching the GIS program. Teachers of geo-informatics of most schools (96%) had not been teaching RS, except for only 4% of those teaching this topic for 1 -2 hours using the information from Google Earth. In a similar manner, the GPS had not been taught in 32
  • 4. Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol 3, No 11, 2012 most schools (98%), while 2% of the teachers of geo-informatics had been practicing for 1-2 hours because of their own interest. In terms of the level of teacher’s understanding of the contents as content difficulty, it was found that 61% for fairly low level, 32% for moderate level, and 7% for the lowest level. For teaching methods and information exploitation, most teachers (68%) emphasized textbooks approved by the Ministry of Education as a major information source, and the rest (32%) looked for another source such as the information on the Internet. As for the follow-up activities, most teachers (95%) assigned students geo-informatics homework, while some teachers (5%) did not have any assignment at all. 4.3 Analysis on Schools’ Geo-informatics Teaching Capabilities According to the Weighting Overlay Model constructed based on obtained school database, it was found that teachers’ teaching capabilities of geo-informatics were found at the lowest level (7%), the low level (54%), the moderate level (26%), and the high level (3%) respectively as shown in Figure 3. 5. Conclusions Both in practice and literature, there has no ranking of the importance level of factors in teaching and learning of geo-informatics in Thai Educational System so far. This causes doubts and curiosity about why teaching of geo-informatics has not been advanced in high schools in Thai contexts. The present study then revealed basic information collected from a survey research. Overall, first, most of the teachers who teach geo-informatics courses in high schools are about 45 years old on average and seem to be behind the time when new technology as geo-informatics tools were introduced. Furthermore, they have too many teaching loads and are unable to participate in the training workshops on geo-informatics tools elsewhere in Thailand. Second, budgets allocated for new geo-informatics tools, textbooks, or even basic teaching aids such as globe, compass, and map are not sufficient. To this respect, teachers who are assigned to teach geo-informatics courses manage such classes with different textbooks and provide students with different information which causes different teaching methods ending up with different results in term of contents and skills. Third, teaching methods of the geo-informatics teachers are found limited since the teachers themselves lack content knowledge as well as skills in using geo-informatics tools. To get these problems solved, most of the teachers turn to rely on what the textbooks provide which could not give as much geo-informatics information as students are expected to learn. In sum, the problems on geo-informatics taught in high schools in Maha Sarakham province reflect the skills in teaching geo-informatics courses which teachers should obtain and what the schools themselves should provide to enhance such capabilities. According to what the present study found as the objectives required, the information about personnel and geo-informatics tools would be an example of basic guidelines for constructing online database for geo-informatics teaching capabilities all over a country. In practice, regarding problems on personnel who are responsible for geo-informatics courses, schools should assign the teachers who completed a program in geo-informatics to teach such classes. If not, schools should provide teachers who have to take care of those classes, but do not have much knowledge on geo-informatics with ample opportunity to take part in training workshops on geo-informatics. In terms of teaching aids, Open Source on the Internet together with Google Earth which are easy to be downloaded would be alternatives for replacing traditional teaching methods. Moreover, a complete step of geo-information teaching capabilities requires co-ordinations and co-operations of different sectors such as educational institutions, university lecturers, school directors, and teachers for improving standards in teaching and learning geo-informatics in high schools throughout a country. Acknowledgements I would like to thank Faculty of Humanities and Social Sciences, Mahasarakham University for its grant. I would also like to thank Assistant Professor Piboon Bunchai for his valuable advice. Without these, this project would have not been completed. References Banskota, T. R. (2009), “Application of GIS as education decision support system (EDSS)”, Paper presented at the ESRI Education User Conference, San Diego, CA. Bednarz, S. W. (2004), “Geographic information systems: A tool to support geography and environmental education”, GeoJournal, 60, 191-199. Bednarz, S. W. & Van der Schee, J.(2006), “Europe and the United States: The implementation of geographic information systems in secondary education in two contexts”, Technology, Pedagogy and Education, 15(2), 191-205. 33
  • 5. Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol 3, No 11, 2012 Demirci, A. & Karaburn, A. (2009), “How to make GIS a common educational tool in schools: Potentials and implications of the GIS for teachers book for geography education in Turkey?”, Ozean Journal of Applied Sciences, 2(2), 205-215. Geo-Informatics and Space Technology Development Agency. (2009), “Space technology and Geo-Informatics”, Bangkok, Amarin Printing & Publishing Public Company. Hunter, B. & Lewandowski, A. S. (2004), “How GIS professionals help school teachers and students use GIS? ”, Paper presented at the ESRI International User Conference, San Diego, CA. Johanson, T. (2003), “GIS in teacher education-facilitating GIS application in secondary school geography”, ScanGIS’2003 online Papers, 285-293. Keengwe, J. & Onchwari, G. (2008), “Computer technology integration and student learning: Barrires and Promise”, Journal of Science Education and Technology, 17, 560-565. Kemp. (1997), “The NCGIA core curricula in GIS and remote sensing”, Transactions in GIS, 2(2), 181-190. Kerski, J. J. (2003), “The implementation and effectiveness of geographic information systems technology and methods in secondary education”, Journal of Geography, 102(3), 128-137. Lemberg, D. & Stoltman, J. P. (2001), “Geography teaching and the new technologies: Opportunities and Challenges”, Journal of Education, 183(3), 63-76. Lloyd, W. J. (2001), “Integrating GIS into the undergraduate learning environment”, Journal of Geography, 100, 158-163. Melissa, P. J. & Bradley, W. B. (2011), “The potential and possibilities for utilizing geographic information systems to inform school library as place”, School Libraries Worldwide, 17(1), 1-10. Ministry of Education. (2008), “Standards based curriculum in social sciences”, Bangkok, Kurusapa Ladprao Printing Press. OFSTED. (2004), “Office of ICT in school - the impact of government initiatives: Secondary geography. Standards in Education 2004”, Report HMI2193. Olsen, A. (2002), “Using GIS software in school teaching programmer: An initial survey”, New Zealand Journal of Geography, 113, 17-19. Ottesen, E. (2006), “Learning to teach with technology: authoring practiced identities”, Technology, Pedagogy and Education, 15(3), 275-290. Overman, H. G. (2008), “The New Palgrave Dictionary of Economics”, Plagrave, McMillan. Suwanlee, S. R. (2010), “Geo-informatics and guideline on teaching development in higher secondary Schools”, Paper presented at the Humanities and Social Sciences, Thammasat University, Bangkok, Thailand. Taylor, P.J. & Johnston, R.J. (1995), “GIS and geography”, Ground truth: the social implications of geographic information systems, Guilford Press, New York, 51-67. Yap, Lee Yong, Ivy Tan, Geok Chin, Zhu Xuan & M. C. Wettasinghe. (2008), “An assessment of the use of geographical information systems (GIS) in teaching geography in Singapore schools”, Journal of Geography, 107(2), 52-60. Zhang, J. (2007), “A cultural look at information and communication technologies in Eastern education”, Educational Technology Research and Development, 55, 301-314. Dr.Savittri Ratanopad Suwanlee, is a full-time lecturer and head of Department of Geography, Faculty of Humanities and Social Sciences, Mahasarakham University, Thailand. She received Doctoral Degree in Natural Science in Cartography and Geo-information from University of Vienna, Austria in 2007. 34
  • 6. Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol 3, No 11, 2012 Figure 1. A Survey of 57 High Schools in Maha Sarakham Province as a Research Site Figure 2. Factors Affecting Geo-informatics Teaching Capabilities 35
  • 7. Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol 3, No 11, 2012 Table 1. Criteria for level of importance No. Important A than B Important B than A Criteria A Criteria B Very High Very High moderate moderate equal High High Low Low 1 Personal 9 7 5 3 1 3 5 7 9 Tool 2 Personal 9 7 5 3 1 3 5 7 9 Teaching Methods 3 Tool 9 7 5 3 1 3 5 7 9 Teaching Methods Figure 3. Geo-Informatics Teaching Capabilities of High Schools in Maha Sarakham Province 36
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