Nagymzhanova, Karakat
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Active online learning with remote sensing data in higher education Moldamurat, Khuralay; Atanov, Sabyrzhan; Nagymzhanova, Karakat; Spada, Luigi La; Kalmanova, Dinara; Tazhikenova, Sapiya; Zhanzhigitov, Syrym; Zhakupov, Altynbek; Yessilov, Assylkhan; Bakyt, Makhabbat
International Journal of Evaluation and Research in Education (IJERE) Vol 14, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v14i3.30096

Abstract

The increasing popularity of online learning has created a need for effective methods to enhance educational quality. This study addresses this need by developing and evaluating an active online learning model incorporating remote sensing data (RSD). The study included a pedagogical experiment with 181 students divided into control and experimental groups. The model included an interactive database, a web portal with tools for processing and visualizing RSD, and the implementation of active learning methods. Data were collected through testing, analysis of completed projects, and questionnaires. Quantitative and qualitative analysis methods were used to process the data. The pedagogical experiment showed that the model improved students’ average scores, increased the number of students with high levels of knowledge acquisition, and enhanced motivation. Thus, the use of RSD and active learning methods in online education is a promising approach to improve the quality of the educational process and foster students’ digital competence.
Emotional profile of learners in self-isolation period Kurmangaliyeva, Zhanargul; Nagymzhanova, Karakat; Zhantikeyev, Serik; Nuradinov, Almat
International Journal of Evaluation and Research in Education (IJERE) Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v14i4.33006

Abstract

The purpose of the study was to identify the main factors affecting the emotional state of students in self-isolation. The study was carried out surveys of students of L.N. Gumilyov Eurasian National University. As a result of the study, it was found that the COVID-19 pandemic significantly affected students, causing them stress, anxiety and loneliness due to forced self-isolation and transition to distance learning. The study found that strong family relationships, friend support, and lecturer attention positively impacted students’ stress levels, loneliness, and emotional well-being. The conducted study also revealed that learning factors such as study load, ways of learning and degree of self-efficacy play an important role in students’ emotional well-being. A survey of students revealed that they used various methods of emotional self-regulation such as meditation, breathing exercises, sports and creative activities.