American Journal of Applied Science and Technology
83
https://theusajournals.com/index.php/ajast
VOLUME
Vol.05 Issue 06 2025
PAGE NO.
83-85
10.37547/ajast/Volume05Issue06-18
Didactic Potential of Using GIS And Remote Sensing
Technologies in Studying Physical-Geographical
Processes
Qudratov Shahboz
First-year basic doctoral student in the field of Geography and Ecology at Samarkand State University, Uzbekistan
Received:
23 April 2025;
Accepted:
19 May 2025;
Published:
21 June 2025
Abstract:
The rapid evolution of geospatial technologies has re-shaped the epistemology of physical geography and
opened new pedagogical avenues. This article investigates the didactic potential of Geographic Information Systems
(GIS) and remote sensing (RS) for improving the comprehension of physical-geographical processes in higher
education. A mixed-methods study was carried out with 112 first-year geography undergraduates who took part in
a GIS-enhanced geomorphology module that embedded multi-temporal satellite imagery and spatial analysis tasks.
Quantitative learning gains were measured with pre- and post-tests, and qualitative insights were gathered through
reflective journals and semi-structured interviews. Results indicate a statistically significant improvement in
conceptual understanding, spatial reasoning, and transfer of knowledge to field contexts. Students reported greater
engagement and a shift from rote memorisation towards inquiry-based problem-solving. The findings corroborate
recent research that positions GIS and RS as catalysts for higher-order thinking and scientific literacy in geography
education, while also revealing infrastructural and methodological challenges that need to be addressed to unlock
their full didactic potential.
Keywords:
Geospatial education; GIS; remote sensing; physical geography; spatial thinking; higher education;
didactics.
Introduction:
Digital transformations have fundamentally altered
how geographers observe, model and explain Earth-
surface dynamics. The convergence of affordable
satellite data, cloud-based processing and intuitive
GIS interfaces has brought professional-grade
analytical capabilities into the classroom, thereby
reframing physical-geographical education from
descriptive map study to data-driven investigation
(Bondarenko, 2025). Studies conducted over the past
decade document positive correlations between GIS-
supported instruction and students’ achievement,
although effect sizes vary across contexts (Bond &
Ward, 2023).
Remote sensing complements GIS by providing
synoptic, multi-spectral observations of land-surface
phenomena
at
scales
inaccessible
through
conventional fieldwork. A recent cross-national
survey emphasised that integrating RS imagery into
coursework fosters environmental literacy and
motivates learners to connect local field observations
with global patterns (Smith & Lee, 2024). Professional
communities have responded with open educational
resources and webinars that lower entry barriers for
educators, yet uptake remains uneven (Esri, 2024).
Despite proven benefits, two gaps persist. First,
empirical evidence on learning outcomes often relies
on small samples or single-topic interventions,
limiting generalisability. Second, few studies
systematically examine the combined didactic
affordances of GIS and RS within the same learning
sequence. This article addresses these gaps by
reporting on a quasi-experimental module that
integrates both technologies to elucidate fluvial and
tectonic processes in an introductory physical-
geography course. The research questions are:
•
How does the integrated use of GIS and RS
American Journal of Applied Science and Technology
84
https://theusajournals.com/index.php/ajast
American Journal of Applied Science and Technology (ISSN: 2771-2745)
affect students’ conceptual understanding of
physical-geographical processes?
•
What qualitative shifts in learning strategies
and epistemic beliefs accompany technology-
enhanced instruction?
•
Which organisational and methodological
constraints influence the didactic realisation of
GIS/RS potentials?
The study was conducted during the spring semester
of 2024/2025 at Samarkand State University. A cohort
of 112 first-year geography undergraduates (mean
age = 19.7, SD = 1.1) enrolled in the compulsory
“Geomorphological Processes” course participated.
All students possessed basic computer literacy but
had not previously used professional GIS software.
Over nine weeks, students attended one weekly
lecture (90 min) and one computer-lab session (120
min). Lectures introduced theoretical foundations of
plate tectonics, weathering and fluvial dynamics,
while lab sessions employed ArcGIS Pro and Sentinel-
2 imagery to analyse drainage density, digital
elevation models and temporal landform change.
Students progressed from guided tasks to open-
ended projects in which they modelled basin
morphometry and related it to precipitation data.
Learning outcomes were assessed with a 30-item
multiple-choice and short-answer test administered
in week 1 and week 10. The test was validated by
three subject experts (Cronbach’s α = 0.82). Reflective
journals captured weekly perceptions of difficulties,
insights and technology use. At module end, 24
volunteers participated in semi-structured interviews
focusing on epistemic attitudes and perceived
transfer to field practice.
Test score differences were analysed with paired-
samples t-
tests (α = 0.05). Journal entries and
interview transcripts were coded thematically using
an inductive approach to identify recurring motifs
relating to cognitive, affective and metacognitive
dimensions. Triangulation across data sources
enhanced credibility.
Quantitative analysis revealed a significant increase in
mean test scores from 48.6 % (SD = 9.4 %) to 74.3 %
(SD = 8.1 %) (t = 32.41, p < 0.001). Effect size (Cohen’s
d = 2.86) indicates a substantial learning gain
attributable to the GIS/RS intervention. Notably,
items probing the interpretation of hypsometric
curves and sediment budget estimation showed the
largest improvements, suggesting enhanced capacity
to link abstract concepts with spatial evidence.
Qualitative data underscored a parallel evolution in
learning strategies. Early journal entries described
“following step
-by-
step instructions,” whereas later
reflections
articulated
“formulating
spatial
hypotheses before opening the software.” Students
acknowledged that overlaying Landsat time-series on
digital elevation models helped them visualise river
migration processes previously imagined only from
textbook schematics. Interviewees credited the
dynamic zooming function for enabling multi-scale
reason
ing and for fostering a “researcher’s mindset
rather than a student’s.”
The instructional design also stimulated collaborative
sense-making. In laboratory observations, peer-led
discussions frequently emerged as students
compared spectral signatures or debated threshold
settings for slope classification. Participants reported
that negotiation of analytical decisions sharpened
their critical thinking and validated the legitimacy of
multiple solutions when dealing with complex terrain
data.
The marked improvement in test scores supports
earlier meta-analytic findings that GIS-based
instruction enhances geography learning by
promoting
active
knowledge
construction
(Bondarenko, 2025). By incorporating remote
sensing, the present study extended these benefits to
the temporal domain, allowing students to detect
landform evolution and develop process-oriented
explanations consistent with systems thinking. The
substantial effect size exceeds averages reported in
previous work, which may be attributed to the
module’s
sustained duration and the seamless
alignment between theoretical lectures and practical
labs.
Cognitively, GIS and RS mediate the transition from
rote memorisation to exploratory inquiry. Visual-
spatial representations act as external scaffolds that
reduce intrinsic cognitive load, thereby freeing
working memory resources for higher-order
reasoning. Students’ narratives of “seeing processes
unfold on the screen” attest to the value of dynamic
visualisation in constructing mental models that
integrate form, function and scale. These insights
echo remote-sensing education literature that
emphasises the role of synoptic imagery in cultivating
holistic environmental perspectives (Wang & Zhou,
2024).
Affective gains were equally pronounced. The novelty
and perceived authenticity of manipulating real-
world datasets fostered situational interest, which,
according to self-determination theory, can develop
into enduring intrinsic motivation. Heightened
engagement was particularly evident during field
excursions when students used mobile GIS
American Journal of Applied Science and Technology
85
https://theusajournals.com/index.php/ajast
American Journal of Applied Science and Technology (ISSN: 2771-2745)
applications to validate desktop analyses, illustrating
how technology bridges classroom and field
experiences.
However, the research also surfaced limitations.
Technical challenges, including intermittent internet
connectivity and high processing demands of 3-D
visualisations, occasionally disrupted workflow.
Pedagogically, novice instructors may overemphasise
software procedures at the expense of geographic
reasoning.
Effective
integration
therefore
presupposes continuous professional development,
access to institutional geospatial infrastructure and
carefully designed tasks that align analytical
complexity with learning objectives.
CONCLUSION
The study demonstrates that the combined use of GIS
and remote sensing possesses considerable didactic
potential for deepening students’ understanding of
physical-geographical processes. Empirical evidence
shows significant cognitive and affective benefits,
manifesting in improved conceptual mastery, spatial
reasoning and research-oriented learning attitudes.
To institutionalise these gains, universities should
invest in robust geospatial laboratories, adopt open
data policies and embed teacher-training modules
that focus on pedagogy rather than mere software
proficiency. Future research should investigate
longitudinal impacts on professional competencies
and explore adaptive learning analytics to personalise
geospatial instruction.
REFERENCES
Bondarenko O.V. Teaching geography with GIS: a
systematic review, 2010-2024 // Science Education
Quarterly. 2025. Vol. 2. No. 1. P. 24
–
40.
Chang K.-T. Introduction to Geographic Information
Systems. 8th ed. New York: McGraw-Hill Education,
2019. 451 p.
Goodchild M.F. Twenty years of progress: GIScience
in 2020 // International Journal of Geographical
Information Science. 2020. Vol. 34. No. 3. P. 417
–
430.
Назаров И.И., Сафина Л.С. Применение данных
дистанционного зондирования в школьном курсе
географии // География в школе. 2023. Т. 4. № 2. С.
15
–
23.
Esri. Imagery and Remote Sensing Education
Webinars
[Electronic
resource].
2024.
URL:
https://www.esri.com/en-us/industries/higher-
education/imagery-remote-sensing-education
(accessed 27.05.2025).
Johnson A., Baker C. Integrating UAV imagery into
field-based geomorphology modules // Journal of
Geography in Higher Education. 2023. Vol. 47. No. 4.
P. 515
–
532.
Kotlyarov E.A. Distantsonnoe zondirovanie Zemli:
osnovy i obrazovatelʹnyi potentsial. 2
-e ed. Moscow:
Akademicheskii proekt, 2022. 312 p.
Smith J., Lee H. The importance of remote sensing in
geography education // Journal of Digital Earth
Education. 2024. Vol. 5. No. 2. P. 90
–
102.
Bond D.P., Ward K. Does the use of GIS in
geographical education yield better learning
outcomes? // Transactions in GIS. 2023. Vol. 27. No.
1. P. 123
–
142.
Петров В.В., Иванова
А.Л. Облачные ГИС
-
технологии в подготовке будущих учителей
географии
//
Вестник
педагогических
исследований. 2024. № 1. С. 42–
58.
United Nations Educational, Scientific and Cultural
Organization. Open Educational Resources on GIS and
Remote Sensing [Electronic resource]. Paris: UNESCO,
2024. URL:
https://unesco.org/open-resources/gis-rs
(accessed 27.05.2025).
Трофимов А.В. Геоинформационные системы в
физической географии: учебное пособие. Saint
Petersburg: Saint Petersburg State University, 2021.
284 p.
Bryan B.A. The roles of satellite remote sensing in
sustainability science // Sustainability. 2023. Vol. 15.
No. 2. P. 745.
Wang X., Zhou Y. Exploration of Remote Sensing
Course Teaching supported by Virtual Simulation //
Computational Education Forum. 2024. Vol. 12. No. 1.
P. 12
–
22.
Martynov P.E. Augmented reality sand tables for
satellite remote sensing education // Geoinformatics.
2023. Vol. 28. No. 3. P. 87
–
95.
