In this research, we analyzed COVID-19 distribution patterns based on hotspots and space–time cubes (STC) in East Java, Indonesia. The data were collected based on the East Java COVID-19 Radar report results from a four-month period, namely March, April, May, and June 2020. Hour, day, and date information were used as the basis of the analysis. We used two spatial analysis models: the emerging hotspot analysis and STC. Both techniques allow us to identify the hotspot cluster temporally. Three-dimensional visualizations can be used to determine the direction of spread of COVID-19 hotspots. The results showed that the spread of COVID-19 throughout East Java was centered in Surabaya, then mostly spread towards suburban areas and other cities. An emerging hotspot analysis was carried out to identify the patterns of COVID-19 hotspots in each bin. Both cities featured oscillating patterns and sporadic hotspots that accumulated over four months. This pattern indicates that newly infected patients always follow the recovery of previous COVID-19 patients and that the increase in the number of positive patients is higher when compared to patients who recover. The monthly hotspot analysis results yielded detailed COVID-19 spatiotemporal information and facilitated more in-depth analysis of events and policies in each location/time bin. The COVID-19 hotspot pattern in East Java, visually speaking, has an amoeba-like pattern. Many positive cases tend to be close to the city, in places with high road density, near trade and business facilities, financial storage, transportation, entertainment, and food venues. Determining the spatial and temporal resolution for the STC model is crucial because it affects the level of detail for the information of endemic disease distribution and is important for the emerging hotspot analysis results. We believe that similar research is still rare in Indonesia, although it has been done elsewhere, in different contexts and focuses.

In today’s world the environmental problems call for the serious solutions before they reach the point of no return. University students as scholars must be well informed about the current pressing environmental problems through formal education and informal education and become role models and champions of protecting the environment. The aim of this study was to evaluate the level of environmental awareness and pro-environmental behaviour among undergraduate Geography students at State University of Malang. This study used descriptive qualitative research design using survey method. To collect data, questionnaire was distributed among 100 respondents selected using simple random sampling method. Results on environmental awareness indicated that, most of the students were well informed and possessed higher understanding of environmental problems. However, the findings on self-reported environmentally responsible behaviour indicated otherwise that only few students practiced pro-environmental behaviour. There was a mismatch between students’ awareness on environmental problems and their actions towards environmentally responsible behaviour. That means being environmentally awareness does not necessarily translate directly into environmentally responsible behaviour. There is need to increase rising awareness and enhance university students’ engagement to sustainability activities to establishing sustainable initiatives both on campus and beyond.

High Order Thinking Skills (HOTS) are abilities that students in the 21st century must acquire. Problem-based learning is one of the learning models to improve high order thinking skills. E-module is an innovative teaching tools used in geography education. Geography is the main focus of education in the 21st century, especially related to environmental issues. This study aimed to determine the effect of PBL with e-module based on HOTS to student’s learning interest in studying geography. The research population consisted of second-year students (grade 11) of social class in SMAN 2 Semarang (Public Senior High School). This research used a factorial experimental design. The data was collected using a test measuring HOTS and a questionnaire measuring enthusiasm for learning geography. The data were analysed using statistics, including the normality test, the homogeneity test, and hypothesis testing with the T-test, linear regression, and two-way ANOVA. The results found that: 1) PBL with e-modules had a significant effect on HOTS; 2) student’s interest in studying geography had no significant effect on HOTS; 3) there was no effect between PBL and e-modules with student’s interest in studying geography on HOTS. The HOTS test results were unaffected by the increase or decrease in student’s interest. The HOTS is not influenced by student’s interest in studying geography, but rather by the actual learning; 4) the highest indicator of developing HOTS is the capacity for abstract thought; 5) students conclude that using e-modules in PBL can improve interest for solving environmental issues. The combination of e-module content with project-based learning motivates students to protect the environment.

Jàmbá: Journal of Disaster Risk Studies aims to engage, inform, and catalyse scholarly discourse within research and real-world practices that work towards the minimisation of vulnerabilities and disaster risks throughout developing communities with special emphasis on Africa.

Geography education in the 21st century will require students to think critically to prepare themselves for the dynamic changes in the world in the future. It discusses the ability to think critically in orienting, analyzing, and solving problems with a spatial perspective is one of the fundamental abilities that must be supported by geography students. The spatial problem-based learning model (SPBL) has been developed by Silviariza & Handoyo (2020). This study aims to explore the spatial problem-based learning model of students' critical thinking skills. This study uses a quasi-experimental design with control and experimental groups. The study was conducted at the Department of Geography, State University of Malang. Participants in this study were students of Geography Education Study Program semester 3 with an average age range of 19 years. The control class offers A with 38 students consisting of 16 boys and 22 girls. While the experimental class offered K with 40 students consisting of 12 boys and 28 girls. Data collection is carried out after implementation with the SPBL model. Data obtained from the pretest and posttest activities in the control class and experiment with question sheets that were questioned on the matter of modification expertise from Ennis (2011). Furthermore, an independent sample t-test was conducted to analyze the data using SPSS for Windows version 23. The conclusion of the analysis shows a positive model of spatial problem based learning (SPBL) in Geography education to develop critical thinking skills. Thus, the results of this study can be used as valid data which proves that the Spatial Problem Based Learning Model as one of the learning models in Geography education and can be used by Geography teachers to improve students' critical thinking skills.

This study aims to uncover GST's gaps and patterns (Geospatial Technology) knowledge transformation among Pre-service and experienced geography teachers using GST as an educational tool based on the Technological, Pedagogical, and Content Knowledge (TPACK) framework. GST integration into material content is implemented as a basis for thinking and acting to solve problems and decision-making, especially geographic content. This study is doing a cross-sectional survey with 600 respondents of the population. They were divided into five groups, such as Pre-service teachers, in the beginning, middle, final semester, and then beginner and experienced teachers, and each group consisting of 120 respondents. The measured GST component includes conceptual knowledge, implementation, and reasoning acquired by tests. The obtained test values were analyzed by the SPSS software for statistic descriptive and plotting gap knowledge value in the scatterplot-graph. Then, deviation values were obtained; the transformation model was mapped and interpreted in the Cartesian diagram. The results showed a GST knowledge gap between Pre-service and experienced geography teachers. The low implementation ability of experienced teachers means that GST is not optimal as a pedagogical tool in geography learning with the TPACK framework. Therefore, the TPACK framework needs to be practiced in continuous geography learning and changing the paradigm learning from GST Be learning with GST to strengthen the curriculum.