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This study uses Panadero et al.'s (2021) Deep Learning Strategies Questionnaire to discover EFL learners' strategies from a new perspective. The questionnaire is a newly designed self-report instrument with ground-breaking features constructed with validity and reliability to measure students' actual strategies in real situations. The current study is the first in an EFL context to use this innovative tool. It investigates self-regulation strategies for learning English as a foreign language (EFL) among 430 male EFL college students in Saudi Arabia. The questionnaire enabled us to adopt a micro-level inspection of strategy functions based on an innovative model that can help identify possible avenues for strategy interventions. The results mostly showed a high use of deep language learning strategies in all four questionnaire categories: basic learning, visual elaboration and summarizing, deep information processing, and social learning. Consequently, all the categories had a strong, positive, and significant correlation. In addition, the most used strategies were basic learning strategies, whereas the least used were visual elaboration and summarizing. Our findings provide useful pedagogical implications for promoting EFL learning strategies and strategy instruction. Successfully replicating the Deep Learning Strategies Questionnaire scrutinizes this methodological instrument's validity and reliability and encourages other researchers to use it.

This article aims to simplify and facilitate the process of practical teaching of enzyme kinetics by utilizing minimal teaching laboratory requirements. Simultaneously, it ensures that students comprehend the enzyme kinetics experiment effectively. The focus is on teaching students how to estimate the maximum velocity (Vmax) and Michaelis constant (Km) of [beta]-fructofuranosidase enzyme (also known as invertase) isolated from dry yeast. The invertase enzyme catalyzes the hydrolysis of sucrose substrate into glucose and fructose, employing the Michaelis-Menten approach of evaluating invertase enzyme kinetics as well as Lineweaver-Burk linear graphic approach of evaluating the Michaelis-Menten enzyme kinetics. The practical experiment seeks to reinforce the concepts of initial velocity dependence on substrate concentration. The data presented in the work were generated from a genuine practical biochemistry course enrolled by second-year undergraduate students in the Department of Pharmacy and the Department of Medical Laboratory Science. While there were minor variations in the invertase enzyme kinetic parameters among students, they successfully carried out the experiment. The students accurately estimated the Vmax and Km of the invertase enzyme in the sucrose hydrolysis chemical reaction. Moreover, they demonstrated an understanding of the meanings of the kinetic parameters (Km and Vmax) and the utility of the Lineweaver-Burk plot.

Mathematical creative thinking skill often becomes the orientation of mathematics learning, aiming to enhance students' creativity in mathematics. Recognizing that creativity encompasses the capacity for thinking creatively and creativity disposition is essential. Building on this conceptual foundation, the primary objective of this study is to develop a comprehensive model illustrating the relationship between students' aptitude for mathematical creative thinking and their creative disposition. The research methodology employed in this study aligned with the framework of cause-and-effect analysis. The study cohort consisted of 36 students, carefully selected by a cluster random sampling technique. The research instruments included a mathematical creative thinking ability assessment and a creative disposition scale. The data was analyzed using the Non-Recursive Structural Equation Modeling. The results showed the reciprocal cause-and-effect dynamic between mathematical creative thinking ability and creative disposition, exhibiting a mutually influential relationship with determination coefficients of 21.83% and 21.05%. This shows that mathematical creative thinking ability is better at explaining mathematical creative disposition than mathematical creative disposition explaining mathematical creative thinking ability, with a relatively small difference (0.78%). This study also concluded that an optimal approach to mathematics pedagogy entails a balanced and simultaneous focus on nurturing mathematical creative thinking ability and disposition.

This study investigated the heterogeneous nature of teachers' perceptions of distinct leadership practices and explored the predictors of teacher- and school-level leadership typologies on teacher self-efficacy and commitment by using a multilevel latent profile mediation analysis of a dataset of 890 teachers from K-12 schools in Turkey. The results revealed three distinct leadership profiles ("limiting," "transitioning," and "integrating") at the teacher level and two profiles ("transitioned" and "integrated") at the school level, providing evidence that integrating teachers and integrated school profiles were associated with greater teacher self-efficacy and commitment. Additionally, both levels of integrated leadership profiles were indirectly related to teacher commitment through teacher self-efficacy vis-a-vis other profile groups. The study concluded that different leadership styles are related and that the impact of leadership on teachers is maximized when multiple leadership types are integrated.

The COVID-19 pandemic kick-started a new paradigm shift in the way and manner teaching and learning takes place on the global scale due to the lockdown that succeeded in shutting down school activities. As a result, most institutions turned to technology supported e-learning as against the traditional face-to-face teaching and learning in order to cover for lost time. This study therefore tested the effectiveness of game-based learning on students' performance in educational technology. Using a simple repeated measures design, 24 students participated in this study. Using an Educational Technology Achievement Test (ETAT), which was validated and pilot-tested to obtain data, the students were given two separate pre-tests before the commencement of the treatment as well as two different post-tests after the treatment. Data were computed using a mixed design repeated-measures ANOVA. Findings revealed that game-based learning significantly improved students' performance to a large extent (F[subscript (3, 69)] = 170.960; p < 0.05) with an effect size ([partial eta-squared]) of 0.881. The study has some implications for Nigerian teachers and researchers in Educational Technology and Science-related fields on the need to incorporate game-based learning given that it has what it takes to improve students' performance.

We present a new software module, QRCODE (Quantum Research for Calculating Optically Driven Excitations), for massively parallelized real-time time-dependent density functional theory (RT-TDDFT) calculations of periodic systems in the open-source Qbox software package. Our approach utilizes a custom implementation of a fast Fourier transformation scheme that significantly reduces inter-node message passing interface (MPI) communication of the major computational kernel and shows impressive scaling up to 16,344 CPU cores. In addition to improving computational performance, QRCODE contains a suite of various time propagators for accurate RT-TDDFT calculations. As benchmark applications of QRCODE, we calculate the current density and optical absorption spectra of hexagonal boron nitride (h-BN) and photo-driven reaction dynamics of the ozone-oxygen reaction. We also calculate the second and higher harmonic generation of monolayer and multi-layer boron nitride structures as examples of large material systems. Our optimized implementation of RT-TDDFT in QRCODE enables large-scale calculations of real-time electron dynamics of chemical and material systems with enhanced computational performance and impressive scaling across several thousand CPU cores.

Certain species of Mucorales have been identified as causative agents of mucormycosis, a rare yet often lethal fungal infection. Notably, these fungi exhibit intrinsic resistance to common azole drugs, which target lipids. Given the pivotal role of lipids in drug resistance and their contribution to innate resistance to azoles, this study provides a comprehensive overview of key lipid classes, including sphingolipids (SLs), glycerophospholipids (GPLs), and sterols, in Rhizopus delemar 99-880, a well-characterized reference strain among Mucorales. Using shotgun lipidomics as well as liquid- and gas-chromatography-based mass spectrometric analyses, we identified the lipid intermediates and elucidated the biosynthetic pathways of SLs, PGLs, and sterols. The acidic SLs were not found, probably because the acidic branch of the SL biosynthesis pathway terminates at α-hydroxy phytoceramides, as evident by their high abundance. Intermediates in the neutral SL pathway incorporated higher levels of 16:0 fatty acid compared to other pathogenic fungi. A strikingly high phosphatidylethanolamine (PE)/phosphatdylcholine (PC) ratio was observed among GPLs. Ergosterol remains the major sterol, similar to other fungi, and our analysis confirms the existence of alternate ergosterol biosynthesis pathways. The total lipidomic profile of R. delemar 99-880 offers insights into its lipid metabolism and potential implications for studying pathogenesis and drug resistance mechanisms.

This study aims to examine the engineering and design-supported STEM (Science, Technology, Engineering, and Mathematics) experiences of students who participated in the "Design and Innovation Workshop" organized at the Science and Art Center (SAC) during the semester break. The experiences and perceptions of 17 students (10 males and 7 females) were analyzed in depth in this study, which was conducted using a phenomenology design from qualitative research methods. Semi-structured interview form, student diaries, field notes and STEM product drawing form were used as data collection tools. The research findings showed that students' participation in design and engineering-based STEM activities enhanced their problem-solving skills, creativity and teamwork. The theory accompanying the research suggests that these activities increase students' interest and motivation in STEM disciplines. The research results suggest that design and innovation workshops can positively influence students' attitudes and skills towards STEM fields.

Due to rapid technological advancement that continues to permeate almost all facets of the education sector, video learning has been explored to enhance performance, but most researchers do not incorporate flipped classroom in mathematical videos, which affects the teaching and learning of the subject in Nigeria. This study checked the effectiveness of video learning in flipped and flipped collaborative classroom on mathematics students' achievement and retention. Using a randomized controlled trial with repeated measures approach, 70 senior secondary school students were purposively sampled from two private secondary schools in Gombe State, Nigeria, out of which they were randomly assigned into two experimental groups: video learning flipped classroom and video learning flipped collaborative classroom (VLFCC). Data was obtained using a 30-item mathematics achievement test, which was validated and pilot-tested (r=0.93). Results were computed using descriptive statistics and two-way mixed design repeated measures analysis of variance. Findings revealed that while the students' within subject performance improved tremendously in the post-test after the four-week treatment, the students in VLFCC performed better in both achievement (F[1, 69]=1,576.362, p=0.000, effect size of ([partial eta-squared]) of 0.954) and retention (F[[subscript 1, 69]]=114. 119, p=0.000, with an effect size ([partial eta-squared]) of 0.785. The finding has some implications for it exposes mathematics teachers, researchers, and policy makers to the credence of deploying video learning in flipped collaborative classroom to improve students' performance by engaging students in collaborative learning in addition to watching pre-class videos, where students discuss in small groups in order to learn through observation, imitation, repetition and behavior modeling, thus making them to learn at their pace in order to construct their own knowledge.

Online learning has been conducted in recent years, especially during crises. There have been some studies to increase its effectiveness. Acceptance of online learning is important and affects learners' comfort and their future use. The purpose of this study was to adopt the acceptance of online learning scale into Turkish culture which was developed to determine students' acceptance of online learning in a developing country Survey model was adapted in this study, and data were collected from 384 participants studying in a public university. Confirmatory Factor Analysis (CFA) was performed to check the validity of the scale and Cronbach's alpha coefficient was calculated to assess the reliability of the adapted scale. Five-factor structure of the scale was confirmed, and multiple goodness-of-fit indices, X[superscript 2]/sd, CFI, RMSEA, SRMR, GFI, and TLI/NNFI were in the range of acceptance levels in the literature. The calculated Cronbach's Alpha values ranged between 0.81 and 0.94 in the total and sub-factors, which were above the recommended value in the literature. The adapted scale could be used by researchers and educators to detect the acceptance of online learning at different intervals.

The study investigated the predictive effect of Emotional intelligence (EI), ICT competence, Financial Stability and Gender on academic performance of distance learners. Descriptive survey design was employed for this study. Purposive stratified sampling technique was used to select 350 participants among third year to sixth year learners. Three research instruments were used for data collection; Emotional Intelligence scale by Shuttle et. al (1998), Financial Stability Scale by CFPB (2016), ICT Competency Scale: Tzafilkou, Perifanou and Economides. Instrument reliability ranged from 0.68 to 0.86. Students' GCPA was used to measure academic performance. Data collected was analysed using Pearson correlation and regression analysis. The result revealed a significant relationship among the independent variables and the dependent variable, it further showed that emotional intelligence is a potent contributor to academic performance prediction while gender was the least predictor. The study recommended that the learner support unit should be well equipped with counselors who are saddled solely with the responsibility of training learners and other stakes holders on emotional intelligence since emotional intelligence is a life skill which is teachable.

Lecturers' academic careers as professional workers have a different process from other workers. Understanding career insights is important for lecturers in carrying out their profession. this research aims to test the moderating effect of managerial support on the influence of career motivation and self-concept on career insight. this research uses quantitative methods, data collection uses instruments with a 1-5 Likert scale. Respondents were 499 lecturers in Jakarta, Indonesia. The data analysis technique uses SEM PLS. The research results show that career motivation and self concept have a positive effect on lecturers' career insight. meanwhile, managerial support does not have a significant moderating effect on the influence of career motivation and self concept on career insight. this research recommends the need for efforts to increase the role of managerial support in increasing lecturers' career insight. this is an opportunity for further research with different theoretical and methodological aspects.

This research study explored the perspectives of 20 educational technologists from four Saudi Arabian universities regarding the integration of AI-powered technology, particularly ChatGPT, into online higher education. The study used a qualitative research method that relied on the principles of theoretical sampling to select participants and conducted in-depth interviews to collect their insights. The approach taken for data analysis was thematic analysis, which uncovered a rich range of insights on both the challenges and opportunities associated with students' use of AI-integrated technology in the context of online higher education. Ten significant challenges emerged that shed light on the complexities and intricacies of integrating AI-powered technology into educational environments. These challenges included issues related to technological infrastructure, pedagogical adaptation, and the need for comprehensive training programs to empower both teachers and learners. Additionally, eight threats were examined that highlighted concerns about data security, privacy, and potential risks associated with AI technology in educational institutions. This study not only provided a comprehensive overview of the current landscape of AI-integrated technology in Saudi Arabian higher education, but also provided valuable insights for education stakeholders, technologists, and policy makers. It underscored the necessity of proactive measures to mitigate challenges and threats while harnessing the opportunities presented by AI technology to enhance the quality and effectiveness of online higher education.

The release of ChatGPT has marked the dawn of a new information revolution that will transform how people communicate and make meaning. However, to date, little is known about the implications of ChatGPT for L2 composition instruction. To address this gap, the present study uses a systematic review design to synthesize available research on the educational potentials of ChatGPT as an instructional assistant, outline the implications of these potentials for L2 writing instruction, and discuss their practical applications. The findings, based on a meta-analysis of 42 research articles, demonstrate that ChatGPT can enhance L2 writing instruction by boosting learners' motivation, automating instructional tasks, and offering instantaneous, personalized feedback to learners. These findings have important implications for harnessing the instructional potential of generative AI in L2 writing classes.

The emergence of ChatGPT, an AI-powered language model, has sparked numerous debates and discussions. In educational research, scholars have raised significant questions regarding the potential, limitations, and ethical concerns around the use of this technology. While research on the application and implications of ChatGPT in academic settings exists, analysis of the perspectives of high-school students are limited. In this study, we use qualitative content analysis to explore the perspectives of high-school students regarding the integration or ban of ChatGPT in their schools through the lens of the Technology Acceptance Model (TAM2). Data was sourced from students' comments to a New York Times Learning Network article. Findings revealed that students' perceptions about integrating or banning ChatGPT in schools are influenced by their assessments of the technology's usefulness, personal experiences, societal technology trends, and ethical considerations. Our findings suggest that student perspectives in this study align with those of educators and policymakers while also possessing unique perspectives that cater to their specific needs and experiences. Implications emphasize the significance of an inclusive decision-making process around the integration of AI schools in educational contexts, including students alongside other stakeholders.

This study aims to examine the effectiveness of collaborative learning, augmented reality, and learning cycle models on students' language success. This study employed meta-analysis methodologies to examine data derived from 54 studies with a sample size of 2,837 participants in Turkey. The data sources were obtained from online database searches on national and international databases from 2008 to 2022, published in Turkey. Through the random effects model, data analysis was done by Stata software to determine the overall effect size and the heterogeneity of the studies. The findings showed that all instructional methods were positively effective, including collaborative learning (g = 0.895) and augmented reality (g = 0.856), which had a high effect, while the overall effect of learning cycle models (1.485) had an excellent effect on the language success of students. Additionally, in the moderator analysis, there were no significant differences according to the type of publication, target class, sample sizes, or practice time. The investigators found that the significant positive effects were present for all three contemporary instructional methods. Therefore, these findings highlight that the use of the three examined instructional methods has the potential to improve student language achievement, and suggest that teachers should strongly consider implementing collaborative, augmented reality, and learning cycle activities within their language classrooms.

The purpose of this research is to evaluate the effectiveness of Duolingo's game-based methodology in improving speaking proficiency within mobile language learning, while also examining the specific attributes and strategies contributing to its success and exploring implications for language education and learner optimization. Given the growing prevalence of mobile language learning platforms, the research meticulously scrutinizes the specific attributes and strategies employed by Duolingo that contribute to the refinement of oral fluency. This study employs a mixed methods design, integrating phenomenological and experimental approaches through a pre, post and attainment speaking tests with a control group design supported with metaphorical perceptions. The findings underscore the pivotal role of assimilating technological advancements and gamified pedagogical approaches within language education to expedite effective intercultural communication across multifarious linguistic landscapes. Furthermore, the results emphasize the importance of continuously adapting language learning methodologies to leverage emerging technologies and gamification strategies in order to foster effective communication skills in diverse linguistic contexts. The implications for prospective inquiries advocate for longitudinal investigations delving into the enduring implications of mobile game-based language learning on comprehensive linguistic acquisition, necessitating comparative inquiries to ascertain the comparative efficacy of diverse mobile applications in fostering distinct language proficiencies. Additionally, probing the influence of individual learner attributes and predilections in optimizing the utilization of mobile language learning applications could yield valuable insights for tailoring language acquisition paradigms.

Failure to exercise self-control is one of the leading causes of substance and behavioral addictions. Problematic social media usage (PSMU), a type of behavioral addiction, has become an increasingly serious problem with a significant impact on the lives of individuals of all generations. Therefore, it is crucial to understand the underlying mechanism of PSMU to effectively address the issue. This study performed a meta-analysis, which systematically synthesized existing research in the field, to establish the current empirical state of the relationship between self-control and PSMU. The study included 57 independent samples that met the inclusion and exclusion criteria (N = 29.576). The analysis results indicated a moderate negative association between self-control and PSMU (r = -0.29). Furthermore, the moderator analysis outcomes suggested that the association between self-control and PSMU did not differ significantly based on variables such as developmental period, educational stage, geographic region, and publication status. The study's findings are expected to inspire future investigations and therapeutic approaches.

This study aims to evaluate word callers attending the fourth grade of primary school in terms of rapid naming, verbal working memory, and attention skills, and to examine the effect of the reciprocal teaching approach on the development of word callers' reading comprehension skills. The study group consisted of 25 word callers and 21 independent readers. Fourth-grade students who are at the independent level in word recognition skills and at the level of frustration in reading comprehension skills are defined as word callers. On the other hand, students who are at the independent level in both word recognition and reading comprehension skills are defined as independent readers. According to the findings, difficulties in rapid naming, verbal working memory and attention skills are common characteristics of word callers. On the other hand, with the reciprocal teaching approach applied for 12 weeks, significant improvements were achieved in the reading comprehension skills of word callers. In this direction, it can be interpreted that the reciprocal teaching approach eliminated the difficulties experienced by word callers.

With the prominence of assessments in education, there is an increasing need to create new forms of assessment that more accurately reflect the needs of the entire student population, particularly neurodivergent learners. To address this challenge, this paper explores the potential for using eye tracking data in a game-based learning environment to assess student's implicit knowledge. Data was collected from a sample of 66 neurodivergent college students playing the physics game Impulse while their eye movements and game play behaviors were recorded. The results indicate that gaze allocation patterns were predictive of students' physics knowledge and aligned with previously identified behavior indicators of learning. These findings provide evidence for further development of eye movement-based assessments in computer-based instruction and demonstrate how these data can be collected, organized, and analyzed.

The aim of this research is to determine the opinions of Social Studies teachers about teaching students the skills in the curriculum. Obtaining the opinions of Social Studies teachers regarding the acquisition of the skills in the program will contribute to the improvement of the infrastructure and practices of the skills that are difficult to acquire. A qualitative research method was adopted to collect data in the study. Consistent with the research method, a phenomenological approach was followed. The study group of the research consists of a total of 16 Social Studies teachers who are work in middle schools, 11 of whom are female and 5 of whom are male. A form containing both closed and open-ended questions prepared by the researchers was used as a data collection tool in the study. These data were analyzed using the descriptive analysis method. According to the findings of the research, among these skills, the ability to recognize stereotypes and prejudice (N = 12) and empathy (N = 8) are among the most difficult skills to acquire; cooperation (N = 11) and social participation (N = 9) skills were found to be in the category of skills that are most easily acquired. As a result of the research, it was seen that the skills that the participants had the most difficulty in acquiring were the ability to recognize stereotypes and prejudices and the skill of empathy, whereas they did not have difficulty in gaining cooperation and social participation skills. At the end of the research, the factors affecting the acquisition of skills were interpreted in line with the findings and contexts were established.

Context: For many businesses, one of the key indicators in their management is the adaptation of Information Technology in their operations. In Kenya, there has been a phenomenal growth in access to mobile phones, by June 2023, over 66 million mobile phones were connected to various telecommunication operators of which 58.3% were smart phones constituting 67.1% of internet connections. There are many digital technologies which can be adapted to facilitate the processing, dissemination, and access of information. The modern world has become competitive due to the uptake of Information Technology as one of the main business management skill, with the availability of smart phones and many applications that are easily available and easy to use. One of the main beneficiaries of Information Communication Technologies (ICTs) is the Jua Kali artisans who are a key player in the Kenyan economy. Entrepreneurial competencies help the growth of businesses along the dimension of innovation. Kenya intends to entrench the use of Information Technology for public service delivery, business, skills, and innovation. The Jua Kali sector cannot be ignored, it contributes more than 80% of the total employment in Kenya. Approach: This research was carried out in the Eastlands of Nairobi, Kenya. Data were collected using a questionnaire, an interview and observation schedule. The study used an interview schedule to collect data from Jua Kali artisans carrying out their artisan businesses in the Eastlands of Nairobi and a questionnaire survey to collect data from a sample of identified Nairobi residents who had engaged an artisan to work for them six months prior to the research. Findings: The research established that most Jua Kali artisans acquired their skills in the Jua Kali sector by apprenticeship (86.3%) while a small percentage (12.7%) trained in Technical Vocational Education Training (TVET) institutions while a further one percent were trained by their former employers. Most of the artisans had attained the basic formal education qualifications i.e. primary education (27.9%) and secondary education (47.6%). The Chi-square (?²) test was used to test the relationship between use of the basic social media digital platforms in business management and the formal education attained by artisans owning artisan businesses. Conclusion: At 0.05 level of significance (a) the research established that there is a significant relationship between the adaptation of digital platforms in business management and the formal education attained by the artisans.

This study attempts to replicate Pawlak's (2018) Grammar Learning Strategy Inventory (GLSI). It explores the use of GLSI by Saudi students of English as a Foreign Language (EFL) in their college preparation year. The re-emergence of GLSI after a long period of neglect is a significant development in Language Learning Strategies. Consequently, due to the shortage of GLSI studies in Arab countries, this study was conducted. Participants were assessed using the GLSI with its four categories of metacognitive, cognitive, affective, and social strategies. 419 EFL students participated in this study. The findings generally showed a high use of grammar strategies in all four categories of GLSI among EFL learners. As a result, a strong, positive, and significant correlation was found between all the categories of strategies. Furthermore, students' Grade Point Average (GPA) did not appear to affect their use of GLS.

Background/purpose: ChatGPT has become one of the groundbreaking examples of artificial intelligence-based chatbots with its capacity to produce texts and engage in human-like conversations. Therefore, it has garnered the attention of people with diverse backgrounds, including educational professionals. The current study aims to investigate how school principals and teachers perceived the use of ChatGPT in education and reveal their attitudes towards using AI-based tools to facilitate the teaching-learning experience. Materials/methods: The study was designed using the qualitative case study method since it aimed to gather detailed information regarding school principals' and teachers' perceptions of ChatGPT. Data was collected from 80 teachers and school principals selected purposefully from public primary, secondary, and high schools. Data was analyzed using content analysis techniques by synthesizing codes into categories and themes. Results: The study revealed four major themes regarding school principals' and teachers' perceptions of ChatGPT: overall perceptions, perceived opportunities, perceived risks, and the effective use of ChatGPT. The participants referred to several advantages of using ChatGPT in education such as lesson planning, offering customized learning, and enabling easy and fast access to information. They were also cautious about some risks such as ethical and responsible use, the likelihood of encouraging dishonesty, free-riding, cheating, or plagiarism as well as weakening students' cognitive skills. Due to its potential to provide inaccurate information depending on the reliability of its data source, they were also doubtful that it could provide students with false guidance in its current form. The participants also made some recommendations to make better and more effective use of ChatGPT in education such as providing ongoing training for both teachers and students on recent developments, increasing the reliability of its data sources through continuous tests, and aligning its capacity with the readiness and age of students. Conclusion: The current study showed that school principals and teachers had sufficient knowledge of ChatGPT and mostly had a positive attitude towards its use in education despite some risks. Combined with the findings of prior studies, the current results suggest taking several steps to minimize the risks and offering both pre-and in-service training to teachers for more effective use.