The aim of this study is to examine students’ bullying toward teachers and classroom management skills in terms of various variables. The sample of the study consisted of 422 participant teachers. The ‘Bullying toward Teachers Questionnaire’ and ‘Classroom Management Skills Scale’ were used as data collection instruments. According to the results, it was determined that 57.2% of participant teachers have not been bullied whereas 42.8 % have been bullied by their students. The teachers who have been bullied by their students were mostly woman, had undergraduate degrees and more than 16 years of teaching experience. There was no significant difference of teachers’ total scores and two sub-dimension scores of CMSS according to gender, school type, education level and years of experience variables. There were significant differences between bullied and non-bullied teachers’ total scores and two sub-dimension scores obtained from CMSS. It is evident that non-bullied teachers’ mean scores obtained from two sub-dimensions and total scores of CMSS were significantly higher than those of the bullied teachers.

The purpose of this study is to determine whether or not teachers’ lifelong learning tendencies vary by gender, professional field, educational level of service, professional seniority, and frequency of reading a book, magazine, and newspaper. The study employs a descriptive research model. Its population consists of primary teachers and field teachers working in the central district of Kayseri province, located in the middle part of Turkey, in the 2015-2016 academic year. The study group consists of 380 teachers chosen from this population through stratified sampling. The data were collected through Personal Information Form and Lifelong Learning Tendency Scale developed by Diker-Coskun. The obtained data were analyzed via SPSS 20.00 at 0.05 significance level. The study revealed that the teachers working in the middle part of Turkey have low lifelong learning tendencies. Also, the study determined that the teachers’ lifelong learning tendencies significantly vary by gender, professional field, educational level of service, and frequency of reading a book, magazine, and newspaper, but professional seniority is not a factor that leads to a significant difference in lifelong learning tendency.

This study has experimentally tested how the introduction of simulations, adapting the experience of higher educational institutions of the United States, including the elements of gamification, in the training course Professional Foreign Language stimulates the educational activity of students at higher educational institutions of Ukraine students’ educational activity  through the involvement and creation of activity for constructive competition and cooperation, stimulation of interests and motives, maintaining cognitive attention of students and encouraging feedback. To carry out this research, a script, a methodology for arranging the simulation Coffee Import-Export Procedure was developed. To process the collected statistical information, Covariance-based Structural Equation Modeling (SEM) software, including two-way ANOVA for Mixed Measures, was used, and the Textalyzer software was used to process the answers of the experimental group’s students to the open-type questions. It was found out, that the simulation model Coffee Import-Export Procedure with elements of gamification develops value-motivational, cognitive and activity-reflective components of educational activity of students, develops self-education skills, which are included in the list of key life and career Skills of the 21st Century, moving the formation of competences of self-education from minor to dominant positions, forms the model of future professional activity of students. The scientific and practical results of this research can be used in the practice of corporate training of company’s personnel, professional training of future specialists in management, international business, organizational psychology, law, etc., as well as for the organization of professional training for people with limited access to higher professional education or for those who needs retraining.

Environmental learning in the 21st century requires students to have Higher Order Thinking Skills (HOTS). The purpose of this study was to measure HOTS students using Higher Order Thinking Skills Assessment based on Environmental Problem (HOTS-AEP). The research method used in this study was descriptive method with a total sample of 248 students consisting of Elementary School (ES), Junior High School (JHS), Bachelor Program (BP), and Master Program (MP). The results showed that students overall have a very low HOTS category. HOTS scores scale of 0-100 on ES (22.3) are still higher than JHS (20.2). Whereas at the university level, BP scores (19.9) are lower than MP (21.4). This showed that learning must be oriented towards increasing HOTS through various media development learning, learning materials, learning models, and strategies. This study concludes that the HOTS score of students was still very low and needs to be improved.

In recent years, cyberbullying, which can be considered as a new form of bullying, has emerged as a result of developments in the field of technology and communication. Cyberbullying has become a social problem which has affected individuals’ lives negatively. The key to success in the elimination of cyberbullying and its negative effects lies in cyberbullying sensitivity. The present study aims to analyze teachers’ cyberbullying and cyber victimization experiences and levels of cyberbullying sensitivity based on some variables which are supposed to develop awareness regarding cyberbullying. Using survey as a research model, the present study focused on 346 teachers working at schools affiliated with Ministry of National Education in Tasova District located in Amasya (Turkey). “Personal Information Form”, “The Revised Cyberbullying Inventory for University Students” and “Cyberbullying Sensitivity Scale” were used as data collection tools. SPSS package program was used for data analysis and frequency and percentage values of demographic variables. Independent T test was used for gender and marital status variables, and One-Way ANOVA test was used for age and level of education variables. The findings of the present study revealed that most of the participants used social media websites actively and spent at least 2 or 3 hours on these websites on a daily basis. Teachers usually have a Facebook and/or Instagram account, and benefit from social media for research purposes and playing games. It can be stated that teachers have a significantly high level of cyberbullying sensitivity. However, it was also indicated that even though participants worked as a teacher, they still did cyberbully and suffered from cyber victimization in the past. While a significant difference was observed only in the dimension of cyber sensitivity in terms of marital status, age and level of education, a significant difference wasn’t observed in the dimensions of cyberbullying, cyber victimization and cyber sensitivity in terms of gender.

The following analysis provides evidence from the comparative levels of anxiety towards mathematics of the variables from the categories presented by the AMARS and sociodemographic variables as well. A sample of 381 economics students in Mexico answered the survey. For data analysis, descriptive statistics (x̄, Sd.) was carried out and to identify if there are significant differences of means in the sociodemographic variables, the ANOVA analysis was carried out.  Although in general the anxiety towards mathematics presented in Mexican economics students is “very little”, in the dimension of mathematical evaluation the results of the descriptive analysis show that economics students from the south of Mexico have more anxiety than students from other regions. Regarding gender, women feel more anxiety than men towards mathematics evaluation. Likewise, students from public institutions show greater anxiety towards mathematics in the evaluation processes than those belonging to private. Finally, ANOVA test showed that the variable Region showed values less than 0.05 in two of three dimensions (ANXTASK and ANXCOUR). The ANXEVAL dimension showed values < 0.05 in the variable Gender as the ANXEVAL and ANXCOUR showed values < 0.05 in the variable University, this because there is a difference in means.

This descriptive and correlational study investigated the effects of using PSPP in learning Statistics on students’ attitudes and performance. The respondents of the study were 200 Grade 11 Senior High School students who were enrolled in Probability and Statistics subject during the Second Semester of School Year 2018-2019. The respondents were randomly selected from those classes across the different academic strands that used PSPP in their Probability and Statistics subject through stratified random sampling. The results revealed that the students have favorable attitudes towards learning Statistics with the use of the PSPP software.  The students became more interested and engaged in their learning of statistics which resulted to an improved academic performance.

A sample of 327 engineering bachelor students from a public university in Mexico took part in an information integration study to explore systematic thinking underlying propensity for cheating during a course exam. All study participants were provided with written descriptions of 12 scenarios pertaining to the academic evaluation criteria and were asked to rate the likelihood that they would cheat under such circumstances. The 12 scenarios reflected the experimental manipulation of three orthogonal factors: teacher’s teaching style, type of exam, and modality of assessment. Analysis results revealed four distinct attitudes toward cheating among students, two of which were independent of context (low and high desire to cheat) while the remaining two were context-dependent (low and moderate desire to cheat). All groups showed systematic thinking underlying their possible desire to cheat that was typified by the use of a summative cognitive rule for integrating information related to academic cheating. However, evaluation of factor relevance varied across the groups.

The physical factors, which were studied less often than the other factors affecting students' learning, were considered in this study. The present study investigated the effect of the flexibility and non-flexibity of the physical classroom setting on undergraduate students' learning. The study adopted a mixed-method research design. The quantitative phase of the study employed the quasi-experimental method of research utilizing the pretest-posttest non-equivalent groups design. T Test and the Repeated Measures ANOVA test was used to compare the group means. In the qualitative phase of the study, the students received a questionnaire with open-ended questions to gather their opinions, and the data were analysed in NVIVO 11. There was no significant difference between the experimental and control groups in terms of learning; however, the achievement scores of both groups were found to be high. Furthermore, the views received from both groups indicated that the physical environment influenced learning in terms of motivation and enthusiasm.

The current study aimed to adopt and assess the psychometric properties and measurement invariance of Grit-S among Omani and American students (N = 487) using Exploratory Factor Analysis (EFA) and Multi-Group Confirmatory Factor Analysis (CFA). The scale’s construct validity was estimated by investigating its associations with achievement goal orientations (AGOs). EFA results suggested that a two-factor solution (i.e., perseverance of effort [G_PE] and consistency of interest [G_CI]) was the best factorial structure, explaining 47.74% and 51.02% of the variance in the Omani and American samples, respectively. The factors had good reliability coefficients in the two samples. Related to the intercultural differences, G_PE explained more variance among Omanis (31.02%) relative to American sample, whereas G_CI explained a larger proportion of variance among Americans (36.86%) compared with Omani sample. The first level of measurement invariance, configural invariance, was not supported, necessitating the investigation of the other levels of measurement invariance using a new sample. Grit correlated positively with mastery and performance-approach goals (r = .29 and .12, respectively) and negatively with avoidance goals (r = -.25), supporting the scale’s construct validity. These findings showed that Grit-S scale can be used as valid and reliable assessment tool to assess student interest and perseverance in the academic context in Arabic/Omani and American cultures.

The purpose of the study was to examine and evaluate the impact the “flipped classroom” model-based learning environment accompanied by multimedia-based textbook entitled “Ukrainian language (for professional purposes)” provides for the language proficiency and learning styles of the university students majoring in language and literature teaching. A multimedia textbook “Ukrainian for Special Purposes” was designed for the study. A multi method approach was used to gather feedback and quantitative methods were used to analyze the data. Specifically, a 2X2 split-plot design was used to analyze the quantitative data and the two-way ANOVA for Mixed Measures was used to designate the main effects for column and row factors and their interaction effect related to the efficacy of the experiment. Textalyzer software was used to process the students’ responses to survey questions. The results reported a shift in student preferences in learning, including a greater desire to engage independently with computer-assisted work, quicker problem solving, increased motivation to study, and improved time management and lifelong learning skills. The study may better inform building the learning process for the students with limited learning opportunities or studying the distance learning model. Despite the experimental group involving only the students majoring in Economics, this methodology could be applicable to teaching Ukrainian for specific purposes to other majors, such as: Psychology, Educational Management, etc. The research is advancing the knowledge of integration multimedia tools into teaching, and specifically the use of multimedia textbooks in the “flipped classroom” settings to deliver the language course to the students majoring in literature and language teaching.

Studies have acknowledged computational thinking (CT) as an efficient approach for problem-solving particularly required in digital workplaces. This research aims to identify indicators for a holistic CT assessment instrument for undergraduate students. A three-round fuzzy Delphi study has been conducted to gain comprehensive opinions and consensus from undergraduate lecturers of computer science disciplines and experts from the information technology industry. In round 1, the experts judged a set of predefined indicators describing CT skills and attitudes identified from the literature, while rounds 2 and 3 focused on variables selection. The consensus was achieved on holistic CT, and the indicators are teamwork, communication, spiritual intelligence, generalization, problem-solving, algorithmic thinking, evaluation, abstraction, decomposition, and debugging. Results demonstrate the importance of attitudes in the process of solving a problem and suggest higher education institutions to consider holistic CT in preparing qualified future graduates. Many CT studies focused only on the skills of CT. This study outlines the assessment indicators that consider both CT skills and attitudes, particularly at the undergraduate level.

The article reveals the problem of empirical research of training higher education institutions teachers in the context of the master’s degree programme. This study specifies and adapts the methods of diagnostics, criteria for conducting teacher training which are reasonable, psychologically and pedagogically approved and could be implemented in the institutions of higher education of different profiles. It was found out that the training of a teacher within the boundaries of the master’s degree programme of institutions of higher education is an actual task of three-level training of a specialist in Ukraine and requires a differentiated approach for institutions of higher education of various profiles. The components of the programme, based on their comparative characteristics, the status of teacher training in higher education institutions of different profiles with the application of certain criteria, indicators and levels were determined. Comparative analysis of the results of determining the levels of activity empathy and pedagogical reflection formation at the final stage of the study showed objective differences in teacher training in the context of the master’s degree programme of institutions of higher education of different profiles. The perspective directions of the problem under consideration are the study of the didactic conditions of effective teacher training for the master's degree in higher education and the development of the Concept of master’s training in higher education institutions on this basis, the analysis of the influence of the main factors on the formation of a teacher of a higher educational institution in the context of a master’s degree programme, in the profile professional training.

This study aimed to describe seven indicators of students’ verbal linguistic intelligence in reading subject. It used a qualitative research method. The subjects of this study were 30 students consisted of 9 male and 21 female students. They took the reading subject in the second semester of the first year. They were given a test of verbal-linguistic intelligence. Seven students were selected to be interviewed because they have verbal-linguistic intelligence and good communication. To find out the validity of the data, the researchers used triangulation of the test results and the results of interviews and triangulation of the second researcher and research assistants. Furthermore, the data were analyzed using the content analysis method which consisted of three steps, they were data reduction, data presentation, and conclusion drawing/verification. The results of the study show that there were seven indicators of verbal-linguistic intelligence of students in reading subject, first, having excellent initial knowledge in mentioning words, second, enjoying wordplay with Scrabble, third, entertaining themselves and other students by playing tongue twisters, fourth, explaining the meaning of the words written and discussed, fifth, having difficulties in mathematics lesson, sixth, their conversation refers to something they have read and heard, and the last, having the ability to write poetry based on personal experience.

The article addresses the problem of gainful employment undertaken during full-time studies. It analyzes the importance of students’ motivations to work and the selected effects of combining studies and work. It refers to areas that have not yet been investigated by other researchers. The data used in the article come from the survey conducted by the author at the Faculty of Economics, at the University of Economics in Katowice through 2014-2017. The study revealed a strong relationship between the motivations to start work during studies and the following factors: the alignment of a chosen job to the field of study, the opportunity to develop new skills and competencies valued on the labor market, the willingness to continue working for the same employer after graduation, and an employer’s intention to employ a student after graduation. Another connection was identified between the character of the work performed by students and their readiness to change if given another opportunity. The relationship, albeit relatively weak, was also confirmed between the character of the work performed and difficulties experienced by students with combining work with studies and the ability to maintain a balance between time assigned to studying, work and leisure.

The purpose of this study is to evaluate the psychometric and structural instruments of the Physics Metacognition Inventory (PMI) developed by Taasoobshirazi, Bailey, and Farley (2015). The PMI consists of 26 items in six factors. The English and Indonesian versions were tested on an English course (N = 37) in the Geophysics study program at Tadulako University. The trials were conducted separately within a two-week interval. The data collected from 364 students of the Physics Education Department, University of Tadulako were analyzed using the Exploratory Factor Analysis (EFA). Later, data were collected from 351 students of some Indonesian universities which have physics education study programs, and the data were analyzed using the Confirmatory Factor Analysis (CFA). The EFA result reveals six factors based on the rotation result with the maximum loading factor. The CFA result shows the RMSEA values of .018, 2 (284) = 316.32 (χ2 / df = 1,11), GFI = .93, CFI = .99, AGFI = .92 and NFI = .93 which meet the cut-off statistic value, and therefore, the model is considered fit, with the Construct Reliability Estimation (CR) of .93, Composite Reliability of  = .95, and maximum reliability of Ω = .96. The results obtained reveal that the PMI scale has good, valid and reliable psychometric properties. Therefore, PMI can be used to measure the level of metacognition of students when solving physics problems. Future studies using PMI are also discussed.

Environmental learning in the 21st century must be contextual and require the ability of Higher Order Thinking Skills (HOTS) to solve environmental problems such as green consumerism. The purpose of this study was to implement an Android-based Supplementary Book of Green Consumerism (SBGC) to improve students' HOTS abilities in environmental learning. The method used experiment with a sample of 144 students in 8th grade of Junior High School. Students divided into 72 students in control classes and 72 students in experimental classes. The treatment given was in the form of using SBGC in the experimental classes. The results showed that the students HOTS score increased significantly in the pre-post test in the experimental class or when compared to the control class. Increased in the experimental classes from a score 15.7 (very low) to 32.73 (low). Meanwhile, when compared between the experimental classes with a score 32.73 (low) and control classes with a score 25.25 (very low). This showed that SBGC is easy to understand. SBGC is also interesting so that makes students become active in learning. The conclusion of this study was that SBGC can increased students' HOTS in environmental learning.

Stress is inevitable in the world of teaching and practicum training and therefore, student teachers naturally incur a certain level of stress due to the demands for them to use various knowledge and skills in real school and classroom environment. Hence, practicum stress needs to be addressed accordingly. The central focus of this study is using a partial least square-structural equation modeling to explore the inter-relationships among the student teachers’ personal resources to mitigate practicum stress. A sample of 200 student teachers selected by purposive sampling from teacher education institutions in Sabah, Malaysia was used in this study. This study collected data via survey methods using a questionnaire developed from several existing scales. Findings showed that emotional intelligence, self-efficacy, and subjective well-being were able to explain resilience with good predictive accuracy and relevance but poorly for practicum stress. These findings were suggestive of the need to include additional constructs to explain perceived practicum stress better in future exploratory research.

Some of the most important skills of university students is to develop the capacity to resolve problems posed by their communities, which implies that students become independent, autonomous and self-regulated. Also they need to be capable of monitor, asses and modify their learning through their own process of metacognition, this way they can develop the required knowledge and improve their learning. To analyze it, the objective of this research is to evaluate the psychometric properties of the Metacognitive State Inventory in Mexican university students. For this reason, the Metacognitive State Inventory was applied to 908 students. To confirm a second order hierarchy model with four first order factors, confirmatory factor analysis was used (CFA).Four items were eliminated to obtain a better model fit. Internal consistency was accessed through McDonald's omega coefficient. In this way, evidence of the construct validity and reliability of the instrument was provided. The Inventory of the Metacognitive State was correlated with the CEVEAPEU Questionnaire, obtaining significant positive correlations between both instruments, thus providing certainty of convergent validity.

Research productivity plays an important role in the prestige and reputation among higher education institutions. However, the time spent to do research among Filipino academics is the most pressing issue since they can barely meet the requirement for research productivity. Further, the lack of time for data gathering aggravated the drawbacks for research productivity. Data gathering is at the core of almost all research activity, the absence of factual and reliable data will lead to an invalid and illogical inference. In research years, there has been a massive agglomeration of data in large volumes coming from diverse sources pertaining to almost all facets of human activity which is worthy of investigation- known today as Big Data. This research has two (2) main objectives; the first is to find out the underlying reasons why Filipino academics are not enthusiastic to do research. The second is to evaluate the value of big data utilization for research productivity based on the assessment of the faculty members. This research used the Rasch model to measure the responses of Filipino academics with regards to their reasons for not doing enough research work as well as on their assessment for value creation of big data utilization using a polytomous item response selection scale.