The inorganic chemistry is one of the essential courses in the education of pre-service chemistry teachers. This study investigates the differences between the adopted learning approaches and achievements of Turkish pre-service chemistry teachers' who received the inorganic chemistry course from the same lecturer. The purposes of this study are to explore the relationship between the inorganic chemistry achievements and the adopted learning approaches of pre-service chemistry teachers and to examine the effect of their learning approaches on their inorganic chemistry achievements. This study was conducted with 127 pre-service chemistry teachers from the Department of Chemistry Education at one of the public university in Turkey. “The Study Process Questionnaire” and “The Inorganic Chemistry Achievement Exams” were used as the data collection tools. The descriptive statistics and chi-square test were used for the data analysis. The results of the study displayed that (1) there is a significant relationship between the pre-service chemistry teachers’ inorganic chemistry achievement and their learning approach; (2) their learning approach has 34 % effect on their inorganic chemistry achievements according to Somers'd value.

This study considers the interaction between an e-learning system, the Blackboard system, and the students who use it in Saudi Arabia. While previous work exists, there is limited consideration of the assessment of the preferences of e-learning system usability variables based on students’ perspectives, especially in developing countries such as Saudi Arabia. This paper attempts to fill the gap by investigating the relative importance of the design criteria developed for e-learning system usability evaluation from the students’ perspective in Saudi tertiary education. Based on reviewed literature, a set of usability principles was developed that have had an influence in the students’ learning process and use of the e-learning system. The list includes system navigation, system learnability, visual design, information quality, instructional assessment and system interactivity. An exploratory study was carried out to identify the most important usability design characteristics from a student’s perspective and then evaluate the overall usability of the current e-learning system, based on this subset. A quantitative approach was adopted to weigh usability design characteristics, based on 181 learners’ perceptions. The sample consists of undergraduates who are users of a web-based e-learning system in a university in Saudi Arabia. The research instrument was tested for construct validity and reliability. The analysed results have shown that information quality is the most important dimension followed by the navigation of the e-learning system. The study has also revealed that the system learnability and visual design came third and fourth in order of importance of e-learning system usability assessment. Finally, the least important design categories that influenced the e-learning system usability assessment were instructional assessment and system interactivity. The empirical results of this study may help to provide insights for designers and evaluators leading to a more effective approach to improve the usability and uptake of the e-learning system.

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.

Online counseling is a mental health intervention between the counselee and the counselor using digital technologies computers or smartphones. A growing number of counselors have been providing counseling via the Internet. However, there are mixed findings regarding the effectiveness of online counseling when compared traditional face-to-face counseling and other modalities. Thus, the main purpose of the study was to investigate the effectiveness of online individual counseling compared to face-to-face counseling, and a control group regarding subjective well-being. To that end, a total of 60 college students were assigned to one of the three groups (21 online, 24 face-to-face, and 15 control). The instruments of the study were the Satisfaction with Life Scale, the Positive and Negative Affect Schedule, and the Brief Symptom Inventory. In order to examine the effectiveness of online counseling comparing to face-to-face counseling and control group, Mixed design (split-plot) ANOVA was employed. The findings of mixed ANOVA revealed that there was no significant interaction effect for the subjective well-being of the participants in different groups indicating that the three groups did not differ regarding subjective well-being scores measured over three times (pre-test, post-test, and follow-up). Nevertheless, the main effect for the group was significant indicating that the scores of the participants in the face-to-face counseling group regarding positive and negative affect changed significantly. Findings and implications were discussed regarding the relevant literature and some suggestions were offered.

This study examined information integration cognitive mechanisms underlying the test anxiety judgments of 474 engineering students. The experimental design considered the orthogonal combination of three factors (teaching style, exam type, and test mode), resulting in 12 experimental scenarios. During the experiments, participants were provided one scenario at a time and were asked to rate their anticipated anxiety level in the described situation. Subsequent analyses failed to reveal statistically significant differences in the anxiety levels reported by females and males. However, the factor selection and valuation female students adopted to make their anxiety judgments differed from those employed by their male peers. Cluster analysis identified three groups based on the anxiety level (low, medium, and high). The most relevant factor for all clusters was test mode, and only the medium anxiety group considered a second factor (exam type) to make their anxiety judgments, which was integrated through an additive cognitive rule. These findings suggest that participants place a higher weight on the examination context than its type when making their test anxiety judgments. Identifying these cognitive mechanisms underlying test anxiety could help regulate conditions that undermine the students' ability to cope with test anxiety.

Science, technology, engineering and mathematics (STEM) education is regarded as one of the formulas to embracing many of our imminent challenges. STEM education benefits the learners by encouraging interest in STEM disciplines. This daunting task needs everyone’s concerted efforts in creating and innovating mathematics teachers’ classroom practices Therefore, a systematic review was conducted to identify best practices for STEM education following the guidelines of the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) by Moher et al. (2015). The reviewed articles were published from 2016 to 2020 and accessed using the Scopus and Web of Science (WoS) databases. Three themes for best practices were identified namely (a) core competencies encompassing 21st-century teaching skills; (b) instructional designs; and (c) requisite STEM execution. Results of PRISMA determined the dominant STEM practices were critical thinking, communication, collaboration, problem-solving, research-based pedagogy, problem-based learning and project-based learning, technological integration, accessibility, professional development and learning support, evidence of effectiveness, access to materials and practitioner support, and scalability. Mathematics teachers should determine the best STEM practices to employ even though there is a lack of studies on integrated STEM domains. When more students are interested in venturing and exploring into the field of STEM, the high demand for STEM related careers could be met by the younger generation.

The research delved into the assessment of integrating Learning Management System as an aid in teaching. Data were collected from 26 students at Rizal Technological University-College of Education, Philippines, through pretest-posttest quasi-experimental and normative survey design of research. Data were statistically tested using the frequency, percentage, mean, standard deviation, t-test for dependent and independent samples, and paired t-test. Results of the research indicate that the respondents have optimistic attitudes towards the integration of learning management system in teaching. The respondents performed poorly in the pretest examination but performed very satisfactorily in the posttest examination. Furthermore, the research found out that there is no significant difference between the performances of the experimental group and control group in pretest and posttest, moreover, there is a significant difference between the pretest and posttest scores of the experimental group and the pretest and posttest scores of the control group.

Online learning during the Coronavirus disease (COVID-19) pandemic has awakened and affirmed the necessity of learning based on digital technology. The article was aimed to analyze the effectiveness of online learning at bachelor’s, master’s, and doctoral degrees of Islamic Religious Education as a reference to develop a learning pattern post-COVID-19 pandemic. The research employed a mixed-method design with a concurrent triangulation model. The samples were taken using stratified random and purposive sampling. Meanwhile, the data were collected through questionnaires, in-depth interviews, and forum group discussion. A descriptive analysis and one-way analysis of variance were used to analyze the quantitative data, while interpretative descriptive for the qualitative data. The research showed that online learning during the COVID-19 pandemic at the bachelor’s, master’s, and doctoral degrees of Islamic Religious Education have been effective. In detail, online learning at the doctoral degree was the most effective among all. On the other hand, face-to-face learning is still necessary. Therefore, the learning pattern developed post-COVID-19 pandemic combines face-to-face and online learning (hybrid learning). The formulation is adjusted to the characteristics, educational purpose and orientation, level of ability, readiness, and learning autonomy of the students at each educational level.

The purpose of this paper is to determine the relevance of turning the camera on or off during distance learning as an argument for active or passive student participation. Seventy-five (75) students participated in the study and were divided into five groups (1-5) according to teaching method (i.e., synchronous instruction online with camera (1) and without camera (2), synchronous transmission of the recording online with camera (3) and without camera (4) and received the online instruction (5)) only. In the beginning and at the end, all students were tested with the same adapted test to determine general physical and motor status. All groups had the same training program twice a week for 45 minutes for 7 weeks. The first training of the week was dedicated to strength development, the second to endurance. In the end, all participants completed a questionnaire to determine their additional physical activity and how they felt about using a camera. The camera being turned on was identified as a factor that made participants uncomfortable but contributed significantly to the effectiveness of the course. However, 94.6 % of all participants cited non-camera methods as their favourite.

Writing is very important for learners; it is a dynamic and creative skill. Although studies on students’ problems when writing a dissertation among Native Speakers (NS) are widely done, studies on English as a Foreign Language (EFL) are limited, especially those which examine problems faced while writing dissertations among Ph.D. EFL learners, in particular, Jordanian Ph.D. candidates. Studies on the supervisors' perspectives of writing a dissertation are scarce among EFL learners, particularly Arab learners. This study aims at focusing on supervisors' perspectives of writing dissertations among Jordanian Ph.D. students who are studying abroad. This study is a qualitative case study. The researchers interviewed nine Malaysian supervisors who supervised 21 Jordanian Ph.D. candidates. The results show that six main themes emerged from the supervisors' perspectives, and they are grammatical mistakes, lack of vocabulary and verbs reporting, personal effects, lack of motivation, writing apprehension, and the problem with generic thesis structure. This paper contributes with a comprehensive analysis of the theoretical perspectives on problems Ph.D. students face when writing a dissertation. The study also fills in the gap in the field of supervisors' perspectives of writing a dissertation. Based on the results found, the researchers suggest a number of recommendations and further research that might help supervisors understand the reasons behind such difficulties.

Most research has examined flipped learning within the context of face-to-face (F2F) instruction. However, previous research has not effectively explored the possibility of how online synchronous flipped learning influences pre-service teachers (PSTs) in teacher education programs during Coronavirus disease (COVID-19). Recognizing the gap in the literature, this paper explored three aspects of online synchronous flipped learning by understanding 1) PSTs' learner engagement, 2) self-directed learning, and 3) learner satisfaction in a Korean university. The data was collected from Korean PST's interviews, reflection notes, and course evaluations. The thematic analysis was used to analyze qualitative data sources. The study findings showed that PSTs favored a synchronous online FL because it encouraged them to engage in various collaborative activities through Zoom breakout sessions. Also, pre-class materials from online FL can positively enhance the PSTs' self-directed learning process. Based on these findings, this study provides suggestions on how to effectively implement online synchronous flipped learning in teacher education programs.

During didactic interactions, teachers and students employ competencies and skills that correspond functionally to one another, and several models propose to typify didactic performances in higher education. For this study, we chose the didactic performance interbehavioral model as the substantive theory to identify six pairs of didactic performance criteria through self-evaluations from graduate students. These included: Competency exploration–precurrent learning behaviors, Criteria explicitness–Criteria identification, Illustration–Participation, Practice supervision–Relevant practice, Feedback–Improvement, and Evaluation–Application.309 Peruvian students from an in-person postgraduate course in Education Sciences filled out two scales (via Google Forms) to assess teacher-student performance criteria during online classes. Convergent and divergent validity were obtained separately for six teacher/student performance constructs through a confirmatory analysis using LISREL 8. Moreover, differences according to sex were only significant for the Illustration teacher criterion (favoring men) and the Application student criterion (favoring women). Students rated Explicitness of criteria and Illustration as the teacher performance criteria most frequently seen during online classes. On the other hand, Criteria identification ranked the highest in terms of the students’ performance criteria, followed by Feedback–Improvement. Another conclusion was that the didactic performance interbehavioral model could be empirically supported by the two self-assessment questionnaires, which yielded good convergent and divergent validity of constructs.

The pandemic case has shifted away from face-to-face teaching to online blended learning. This phenomenon certainly causes various problems in the world of education. The online blended learning is good when applied with good internet connections and complete facilities. However, it differs from Indonesian coastal students who do not have supporting facilities. Therefore, this research aims to analyze the experience and readiness of Indonesian coastal students. It determines the facilities of the process using qualitative research with a phenomenological approach. Purposive sampling was used to collect data from 25 students living in coastal areas in Aceh, Indonesia. Furthermore, in-depth interviews were used to obtain instruments and techniques for data collection, observations, field notes, and audio-visuals. Data analysis was carried out qualitatively by reducing, displaying, drawing conclusions, and verifying data. The data processing was conducted using NVivo 12 plus software. The kappa coefficient is used to check the accuracy of the data since there was no bias during coding. The analysis results show that Indonesian coastal students are not ready to conduct the online blended learning process. Furthermore, it is recommended that future research focus on coastal students’ development. A Hypothetical Learning Trajectory design should be created to assist in independent learning and lessen their readiness.

Learning evaluation is a complex task, and this study illustrates the Constructive Assessment of Learning as a complementary alternative to evaluate the computational cognition schema construction. The authors designed a mental representational task under the Chronometric Constructive Cognitive Learning Evaluation Model. Control and experimental groups performed a conceptual definition task based on the Natural Semantic Network technique (NSN). They defined ten target concepts related to computational cognition theory, using verbs, nouns, and adjectives as definers. Afterward, the participants rated the conceptual quality of each definer one by one, on a scale of one to ten; the higher the rating, the greater the quality of the definer to define the target concept. The results indicate that the NSN technique was sensitive to measuring and discriminating cognitive changes in knowledge structures produced by the specific learning of computational cognition theory. In contrast, the learning of broad psychology subjects produced general cognitive changes without organization related to the specific learning of the evaluated course. Data showed more sophisticated cognitive change patterns on the evaluated schema in the experimental group than in the control group. The findings of this study suggest that cognitive assessment techniques can be helpful in the formative assessment of learning and provide clear indicators of students' knowledge management skills.

In the future, vocational students will face all changes and developments in technology and information. In this context, students' digital literacy skills need to be trained to adapt to the demands of the world of work. This article aims to present the results of a study on factors that can improve the digital literacy practice for vocational students as a roadmap for digital learning in the current era. The sampling technique used purposive random sampling of 8 Vocational Schools in East Java Province, Indonesia. The number of respondents in this study amounted to 355 second-year students. The study has found that online learning, motivation, and technology introduction are influenced by students' digital literacy practices, while teacher readiness and infrastructure must be mediated by online learning. The findings in this study indicate that collaboration from various parties is needed from teachers, school administrators, and policymakers in planning learning that focuses on students' digital abilities.

Some Indonesians may still regard online education as a novel, although they frequently engage in online-related activities without even realizing it. The quality of learning, satisfaction, achievement, retention, and, more broadly, personal growth are all favorably correlated with student engagement. For students to provide their best effort and succeed in online learning, it is crucial to have good psychological engagement in them. This engagement will help their psychological processes and dispositions to improve. The quantitative research methodology was utilized in this research. In addition, 800 high school students from South Sumatra participated in this research as a sample. The structural equation model is analyzed (SEM). The findings indicated that 85.9 percent of the time, a psychological commitment is influenced by information communications technology (ICT) proficiency, psychosocial processes, and student performance. Thus, the value of .713 indicates that psychological involvement, psychosocial processes, and ICT proficiency all impact student performance. This study demonstrates that every hypothesis has a favorable and significant impact. These circumstances suggest that students who are proficient in ICT and psychosocial processes will be able to enhance their performance through challenging and dry learning. The interaction between students while learning strengthens this condition.

The outbreak of COVID-19 has affected the educational sector globally. One of the impacts of this outbreak is observed in the implementation of digital learning, which involves problems such as poor internet connection and a lack of information technology facilities. However, university youth could be seen as resilient if they could keep up with good academic performance despite going through various challenges of digital learning. Thus, this research would like to explore the resilience of university youth while undergoing the challenges of digital learning during the COVID-19 pandemic. This research adopted a qualitative approach, and data were collected through semi-structured interviews. Purposive sampling was used, where five respondents among the University Malaysia Terengganu (UMT) youth with a cumulative grade point average (CGPA) of 3.50 and above were selected in this research. The research found that the challenges faced by the majority of the respondents during digital learning were the non-conducive learning environment and the poor internet connection. In addition, findings also found two protective factors that helped the respondents be resilient, identified as the internal factor (i.e., self-concept and cultural sensitivity) and the external factor (i.e., parents' support and positive peer relationships). The research findings showed that the university youth also need support and help from various parties alongside their own efforts in academics in order to face any kinds of risky situations and grow as resilient youth.

The study presents a semantic correlation model (SCM) of socioformative data, which is designed to support the evaluation of curriculum planning (CPE) that is developed from indicators derived from curriculum components such as graduate profile, study plan, area plan and subject plan. The objective of the research was to design a semantic correlation model of socio-formative data to support the evaluation of curriculum planning in accordance with the objectives of sustainable development in education. The study is a quasi-experimental research based in a Likert questionnaire applied on a group of 10 students (16 and 18 years old) belonging to the eleventh grade of the urban official educational institutions of Marsella, in the department of Risaralda in Colombia. The results indicate that the model has an impact on the evaluation of curricular planning, concluding that the design and implementation of a semantic correlation model of sociodemographic data does have an impact on the evaluation of curricular planning of a classroom subject in an educational institution in Marsella.