The influence of COVID-19 has caused a sudden change in learning patterns. Therefore, this research studied the learning achievement modified by online learning patterns affected by COVID-19 at Rajabhat Maha Sarakham University. This research has three objectives. The first objective is to study the cluster of learning outcomes affected by COVID-19 at Rajabhat Maha Sarakham University. The second objective is to develop a predictive model using machine learning and data mining technique for clustering learning outcomes affected by COVID-19. The third objective is to evaluate the predictive model for clustering learning outcomes affected by COVID-19 at Rajabhat Maha Sarakham University. Data collection comprised 139 students from two courses selected by purposive sampling from the Faculty of Information Technology at the Rajabhat Maha Sarakham University during the academic year 2020-2021. Research tools include student educational information, machine learning model development, and data mining-based model performance testing. The research findings revealed the strengths of using educational data mining techniques for developing student relationships, which can effectively manage quality teaching and learning in online patterns. The model developed in the research has a high level of accuracy. Accordingly, the application of machine learning technology obviously supports and promotes learner quality development.

This study focused on the development of teaching aids for the topic of Isometric Transformations for Form 2 students in Malaysia. The first objective was to determine the usability of teaching aids in the isometric transformations kit integrates game-based learning (GBL) Method (KitTI Method) and the second objective was to examine the effectiveness of using the KitTI Method on students’ achievement and motivation. This study was directed by the Design and Development Research (DDR) model with survey and quasi-experimental designs. The sample selection was conducted by cluster sampling involving Form 2 students from schools in the district of Muallim and Batang Padang in the state of Perak. The instruments used were KitTI Method Teaching Aids Usability Questionnaire (KMTAUQ), Isometric Transformations Topic Achievement Test (ITTAT), and KitTI Method Motivation Questionnaire (KMMQ). The findings showed that the mean score of KitTI Method‘s usability was high, the treatment group obtained significantly higher improvement in achievement compared to the control group while the mean scores of pre-test achievement as a covariate and students’ motivation in learning Isometric Transformations were high. Therefore, the KitTI Method is suitable to be implemented as a guide for mathematics teachers in designing dynamic teaching and learning and is able to improve students’ achievement and motivation.

This paper describes an experience based on the use of an active method in which students of a basic physics course prepare multiple choice questions (MCQs) to prepare for exams in the subject. The objective of the research was to provide the students with a method that would enhance their desire to learn physics, and consequently lead to an improvement in their meaningful learning. The participants were 57 first-year students from various engineering degrees. The quasi-experimental design with pre- and post-tests and a control group is described. The results showed that students who use the method of generating MCQs to prepare exams sometimes improve their learning significantly in comparison with the control group. The method also provides a new way to detect students' misconceptions about the concepts covered in class, which thus allows the evolution of their knowledge to be evaluated. Finally, it should be noted that the students valued the method used positively.

Learning geography in Indonesia philosophically aims to develop spatial literacy. Students must improve spatial literacy to form reasoning skills and apply spatial concepts in real life. Applying Gersmehl's spatial learning can improve students' spatial literacy through syntax arranged based on spatial aspects. The use of google earth helps students to complete case studies of disaster mitigation materials without the need to go directly to the field. This quasi-experimental research refers to the posttest-only control group design by comparing the posttest of spatial literacy in the experimental and control classes. This study involved students of class XI IPS SMAN 1 Blitar City. The instrument is a five-point description test based on indicators of spatial literacy in disaster mitigation materials standardized with validity and reliability tests. The research data were analyzed using normality, homogeneity, and hypothesis tests. The data tested were in the form of posttest scores for spatial literacy in the experimental and control classes. The results of Gersmehl's spatial learning influence spatial literacy. The use of LKPD bridges the implementation of spatial learning syntax with Google Earth as a geospatial medium. The implementation of syntax in spatial learning is interrelated with spatial literacy indicators, thereby increasing students' spatial literacy based on experience and spatial recognition.

Teacher knowledge is one of the main factors in the quality of mathematics learning. Many mathematics teachers have difficulty using proportional reasoning. Proportional reasoning is one of the essential aspects of the middle school mathematics curriculum to develop students' mathematical thinking. Teachers should realize that developing proportional reasoning is not an easy task. In this study, we investigated how teachers give proportional reasoning about the concept of proportional and non-proportional situations, especially in making sense of them. The research subjects were mathematics teachers who had taught proportional-related material. Data was collected using task-based interviews outside the teacher's working hours. Data analysis and interpretation were completed using a framework meaning-based approach. The results of the data analysis showed that the teacher is careful in understanding information, is aware of multiple meanings, and knows key information in understanding the contextual structure of proportional and non-proportional situations. Furthermore, they are also able to identify additive and multiplication relationships, have flexibility in understanding proportional and non-proportional situations separately or collectively, and understand problem-solving systematics in detail.

This study examines how visual thinking may affect Jordanian female ninth-graders reading abilities. The design had an experimental feel about it. The study included 66 ninth-grade female students who were studying English as a foreign language (EFL). An instructional program was created and put into place, and a pre-post reading exam was created to help the study reach its objective. The results were examined using SPSS. The findings show that there are statistically significant changes in the steps of the visual thinking strategy (VTS) modality between the two groups, with the experimental group benefiting more. VTS has been proven to be a successful strategy for greatly enhancing student attainment of good marks and having an impact on student achievement of course learning outcomes. This study triggered the following reading sub-skills: vocabulary acquisition, imaging, building and activating schema, identifying the main idea and details, questioning, inferring, communicating through oral language, and comprehension. VTS has a real impact on teaching reading sub-skills, which is important for both teachers and curriculum designers. Longitudinal research data is required to further analyze and refine this teaching strategy.

The mathematical literacy ability of Indonesian pupils is still relatively low, as indicated by Indonesia's score of 379 for mathematical literacy in PISA 2018. Paying attention to the learning process such as the teaching materials used in learning, is one of ways to increase mathematical literacy skills. To strengthen students' mathematical literacy skills, it is great for building qualified mathematics teaching materials with the nuances of science, technology, engineering, and mathematics (STEM) which are supported by the information and communication technology (ICT)-assisted Preprospec (Prepare, Problem Solving, Presentation and Conclusion) Learning Model. The research method used in this study is research and development (R&D), with the main reference of 4D-model development by Thiagarajan, whose stages are limited to define, design, and develop. The results showed that the feasibility test on teaching materials obtained the total average percentage of validator I to validator V, respectively, 90.19, 95.45, 93.90, 91.95, and 97.95 with very eligible criteria. It is easy to understand by students with a readability score of ρ = .109 > α = .05 or Cochran's Q = 13.091, and it can improve students' mathematical literacy skills, as evidenced by the Wilcoxon test and a gain normalization result of 485.

This study aims to investigate the perceptions of Generation Z students about ideal learning after the pandemic in Indonesia. This research uses a qualitative design with a phenomenological approach. There were 30 students from 6 different campuses in Serang City, Banten, Indonesia, who used a purposive sampling technique as research participants. Data collection was carried out using semi-structured interviews, which were then analyzed using thematic analysis techniques. The findings of this study state that there are four main themes regarding ideal post-pandemic learning, namely: (a) learning that is not monotonous, (b) equal portions of theory and practice, (c) ideal learning managed by an ideal lecturer, and (d) the need for the application of blended learning. This research contributes to the current literature on designing ideal learning on campus after the COVID-19 pandemic.

Private universities in Indonesia need to urgently enhance the lecturers' organizational citizenship behavior (OCB), especially in overcoming a transition period of learning patterns after the COVID-19 pandemic from online to offline. Therefore, this research explores employability, personality, and talent management affect OCB and proves job involvement mediates employability, personality, and talent management influences OCB. It was conducted through a survey using a Likert scale questionnaire with 230 participants of lecturers from Indonesian private universities. Path analysis supplemented by descriptive and correlational analysis was used as a data analysis technique. The results showed that employability, personality, talent management, and job involvement significantly affect OCB. In addition, job involvement mediates employability, personality, talent management influences OCB. Therefore, a new empirical model regarding employability, personality, and talent management affect OCB with job involvement mediation was developed. Accordingly, researchers and practitioners can utilize for the model in their future activities.

This exploratory and descriptive study aims to theoretically promote the schema of pseudo-thinking processes in mathematical problem-solving by students. The participants in this study were 36 eighth graders and one math teacher. The researchers collected the data using tests and interviews. The results showed that the structure of pseudo-thinking based on the processes of assimilation and accommodation is theoretically composed of five hierarchical components, namely (a) the structure of the problem, (b) the structure of the subject's thinking, (c) the analytic process, (d) the integration of structures or substructures, and (e) the complete integration of structures. When the subject integrates incomplete substructures into existing thinking schemes, assimilation or accommodation becomes imperfect, resulting in cognitive disequilibrium. The results of such a thought process are called pseudo-thinking. Pseudo-thinking processes can be refined and improved into actual thinking processes through reflection and scaffolding. Assimilation and accommodation occur through defragmentation or organization to rearrange the internal schema so that full structural integration occurs. In the end, the subject experiences cognitive equilibrium so that it becomes an actual student thought process.

The researcher assessed the subject teachers’ levels of satisfaction and/or dissatisfaction using the Herzberg Two-Factor Theory. The study assesses employee motivation and hygiene, as discussed in the first part of the study about exploring the socio-demographic profile and job satisfaction level among teachers in Alaska. Frederick Herzberg (1923–2000) was a well-known author, and his work was praised by the Harvard Business Review. His theory has been widely accepted by many different groups and studies, with many people adapting and applying the theory to business management. For many years, teachers have been leaving school districts, particularly in Alaska, and this project seeks to investigate the causes of this phenomenon. Running a school is like running a business, except your clients or customers are students and parents. You must be able to choose what type of education they require. Schools have a system structure that is like a business. A school district that oversees several schools is analogous to a conglomerate that oversees a group of businesses. The study was conducted in the Bering Strait School District, in northwest Alaska, which serves fifteen isolated villages and two islands. Various methods including survey questionnaires, interviews and data gathering, were used and implemented. Out of 30 targeted respondents, 13 had high hygiene and high motivator factor (HHHM) scores and were further analyzed through interviews, with the data gathered subjected to thematic analysis. It was noted that some of the factors that affected the respondents in leaving their school are professional-related reasons, professional growth, job stability, physiological growth, no consistent reliable childcare options or childcare, very cold weather, and emotional reasons. Lack of these factors can influence the participants to seek such services elsewhere—from another workplace that can provide them with these services, and thus give them comfort, and peace of mind as well.

Pedagogical content knowledge (PCK) consists of a set of understandings, knowledge, skills, and dispositions necessary for effective performance in specific teaching and learning situations. Using Scopus, EBSCO, and Web of Science databases, the study examines the progress of the PCK in science teacher education between 2011 and 2021. In total, 59 articles were reviewed, and 13 were selected according to the inclusion criteria. Among the findings, it stands out that the articles emphasize a series of tools used when teaching applied sciences, such as the use of educational technologies beyond the textbook or the integration of students' thinking. The articles state that PCK transcends subject knowledge and leads to subject knowledge for teaching. Finally, the literature has tried to answer how science teachers use PCK in the classroom, demonstrating strategies and practical value, both of which are vital for the functioning and application of their educational work.

This study aims to evaluate cognitive conflict in constructing mathematical concepts, based on thinking errors. The data were collected through observations of words or sentences, leading to the derivation of qualitative outputs. Furthermore, the results showed that the two selected subjects experienced cognitive conflicts regarding thinking errors in mathematical concept construction. This selection process was conducted through the provision of the questions obtained in the first semester of mathematics, at Universitas Negeri Makassar, Indonesia. These questions consisted of several indicators, with each of them having three components, namely the main, tracking, and supporting items. Based on the results, two subjects experienced thinking errors in constructing the concept of algebraic root form addition. This emphasized the errors in placing concepts (misplaced), pseudo-thinking, and misanalogy. A conflict was also observed between the initial concept knowledge of using variables in algebraic addition and the new principles understood through the root summation in algebra. Furthermore, there was also a conflict between the concept understanding he had in terms of the addition operation of the root form and a new understanding of the addition operation of the root form in algebra.

Active learning (AL) techniques invite students to participate actively, either physically or mentally, in the learning process so that they can change their behavior efficiently to achieve great achievement. Still, there is insufficient knowledge concerning the dimensions of AL techniques for business subjects of secondary school students in Malaysia. Thus, the research’s goal is to assist in the determination of the instruments’ reliability to measure the AL techniques measurement scale for business subjects’ students using exploratory factor analysis (EFA) as well as reliability analysis. Moreover, this research conducted a self-administered survey among secondary school students who have taken business subjects as their elective subjects. From secondary schools in Negeri Sembilan, Malaysia, 123 respondents were randomly chosen for the sample. To measure the AL constructs, the study retained 30 items developed because no items have been omitted since the factor loading turned out higher than the 0.50 cut-off point and was used as a tool for data collection. Essentially, this research empirically validates the dimension which helps lead to AL techniques in business subjects that are improved, and the findings are particularly beneficial to secondary school students in Malaysia.

This descriptive phenomenological study looks into the lived experiences of teacher education college students on what it is like to learn math online during the COVID-19 pandemic. Due to the pandemic, online math learning may pose even more significant challenges. Hence, the researchers conducted the study to better understand and support the students in these challenging times. They interviewed 16 college student participants, who consented to participate in the study, to share their actual experiences - the challenges, struggles, and opportunities – in learning math online during the pandemic. The interview transcripts were analyzed following Colaizzi's method. Results revealed the following themes: (a) The hurdles: poor internet connection, unconducive learning space, difficulty in understanding the topics, financial problems, and health problems; (b) The upper hands: ease of access to varied resources, staying at home, and flexibility of the teaching and learning process; (c) The key takeaways: improved time management, self-discipline, resourcefulness, and growth mindset. The researchers recommend that the management of educational institutions consider the students' demographic data, financial level, available resources, and mental and emotional health while designing and implementing online programs. Further, future research may be conducted on the teachers' concerns that may influence students' online learning experiences with Math and other disciplines.

Knowledge-based economy is an economic model students need to be prepared for a future economic model that uses knowledge as its main resource. Therefore, this study developed and validated instruments for constructing knowledge-based economy readiness among undergraduate students. This study used an online questionnaire with 120 respondents of economic education students in educational universities in East Java, Indonesia, for exploratory factor analysis and 417 respondents for confirmatory factor analysis. Then, statistical analysis was conducted using exploratory factor analysis in SPSS and confirmatory factor analysis in AMOS. This study first developed five factors of knowledge of economics, readiness for economic challenges, readiness for education, readiness for infrastructure, and readiness for innovation, consisting of 27 items. However, one item was removed because the loading factor was below .50. Consequently, 26 items were retained because the loading factor was significantly greater than .50. The Cronbach's alpha value for each item of the knowledge-based economy readiness construct was >.60 and met all goodness of fit index criteria, which means that it meets the requirements and can measure the construct of knowledge-based economy readiness. Since this study meets the validity and reliability requirements of the constructs leading to knowledge-based economy readiness, these results will help students prepare for the current and future knowledge-based economy. They can be used in developing economic education curricula in higher education.

The iNaturalist application has been gaining traction in both biodiversity research and education. Increasingly more research is being carried out, looking into using the iNaturalist application in biology education, to promote biodiversity and educate students about this topic. We used the PRISMA systematic literature review method to examine research carried out using the iNaturalist application in biology education by searching Web of Science and Scopus, and including citizen science in the process. We searched through the iNaturalist forum, where users contribute research performed using iNaturalist. We found that an increasing number of articles have been published on this topic over the years. Researchers are using iNaturalist to improve BioBlitz activities, to enhance outdoor education activities, and to help make herbaria. Summarizing the work performed in this area, we suggest guidelines for including and preparing the iNaturalist application in a school context to be used by teachers and researchers alike.

Many education and learning experts currently recommend the flipped classroom model as an alternative to learning after the COVID-19 pandemic. This study aims to explore the impact of the flipped classroom model on social skills and problem-solving skills for cadets. This research used a sequential mix method involving 50 maritime students in semester 7 of the Engineering Study Program at the Maritime Sciences Polytechnic Makassar, South Sulawesi, Indonesia. Researchers used two main instruments, namely problem-solving skill tests and interviews. Furthermore, in the quantitative analysis, the researcher ran paired sample t-tests and one-way Multivariate Analysis of Covariance (MANCOVA) using the SPSS 25.00 program. In addition, researchers also analysed qualitative data from interviews using thematic analysis techniques. The results showed that the flipped classroom model proved to have a positive effect on the problem-solving skills of maritime students. Other findings state that the cadets also respond positively to the flipped classroom model. Researchers recommend that teachers use the flipped classroom model, especially in dealing with learning in the post-pandemic era, like today.

Based on institutional theory, this study explores the causal relationship between teacher professional identity, perceived institutional norms, and teachers’ conformity behavior in colleges and universities in Hunan Province. A questionnaire survey was conducted on 500 teachers from two universities in Hunan Province. The reliability and validity test results and structural equation modeling analysis show that the professional identity of college teachers positively affects their conformity behavior, and that perceived institutional norms partially mediate the relationship between teacher professional identity and teacher conformity behavior. The research enriches the application of institutional theory in university organization and provides an empirical basis for universities to improve teachers’ conformity behavior.

This study investigated the influence of CThink4CS² Module on computational thinking (CT) skills of form four chemistry students. The CThink4CS² Module integrated CT with the Engineering Design Process (EDP) in chemistry class. This study utilized quantitative research methods and quasi-experimental design. Quantitative data were collected using the Computational Thinking Skill Test (CTST) which consisted of algorithmic reasoning, abstraction, decomposition, and pattern recognition constructs. A total of 73 students were in the treatment group (n=39) and control group (n=34). Experimental data were described by means of descriptive analysis and inferential analysis employing two-way MANOVA analysis. The results of the analysis indicated significant differences in CT skills between groups; students in the treatment group demonstrated better results compared to those in the control group. The paper provides insight into the integration of CT and EDP as effective pedagogical strategies for inculcating CT skills.