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Formative assessment is an evaluative practice developed in the classroom for the improvement of learning using evidence on student progression. The objective of this research is to compare sample groups from multigrade and single-grade classrooms on the theme of formative assessment based on the students' opinion of the teacher's performance. The method used was a comparative quantitative method. The sample type is a probability sample of 683 students from 5th to 8th grade from urban and rural schools in the commune of Longaví, located in the Maule Region of Chile. A validated Likert scale questionnaire with a high level of reliability ([alpha] = 0.93) was used. The results of the research showed that, in the six dimensions, the best teacher performance concerning formative assessment is found in multi-grade schools and not in single-grade schools. This can be explained on the basis of several reasons, among them the level of adaptability that teachers have in this type of classroom, the heterogeneous characteristics of the classroom (different ages and learning goals) and the need for teachers to monitor the learning progression of students with different classroom characteristics.

The use of linguistic features in school assessments, as well as the impact of these factors on the outcome of assessments have received limited attention in the literature. With this study I aimed to analyse linguistic features of accounting examinations. A quantitative technique, using tests for correlation, was employed to analyse the Grade 12 National Senior Certificate accounting examinations from 2011 until 2021. Advanced textual analysis software was used to identify connections between specific linguistic features and the marks obtained in these examinations. The findings of this study suggest that increasing the levels of linguistic features associated with analytical thinking, emotional tone and big words, which may be assumed to promote comprehension, may in reality be counterproductive, consequently potentially resulting in poorer marks attained in assessments in the future. The findings of this study are important for the creators of assessment to consider when developing accounting assessment. Given the effect of linguistic features on assessment results as identified in this study, it contributes to the debate on the use of certain linguistic features in assessment.

People's lives tend to the outside world, leading to the waning of cultural preservation values due to the ease with which foreign cultural influences enter and threaten the existence of local culture. To avoid the decline of the younger generation's interest in traditional art, it is necessary to carry out an idea of preservation through education, in this case, social studies subjects at school. This study aims to analyze the relationship between traditional art and social studies as a learning resource. The traditional art discussed in this study is panting music which is traditional arts in South Kalimantan. This is done to get a pattern for preserving traditional arts through social studies subjects. The research method used is qualitative. Data collection is done through observation, interviews, and documentation. Informant this research panting music players, and social studies teachers. The various data obtained are then reduced, presented, and then concluded. The researcher triangulated and extended the observations. The study's results confirmed panting music performance activities could be packaged as social studies learning resources. This is done by integrating class VII textbooks on the theme of cultural and ethnic diversity in the Indonesian traditional musical.

Chinese Gu Shi Ci art songs are a genre that combines ancient Chinese poetry with music, reflecting profound emotional depth and cultural ethos. The primary objective is to investigate the integration of vocal techniques and musical literacy in the performance of Chinese Gu Shi Ci art songs. The study conducted at Nanchang University and the China Conservatory of Music involved interviews and observations with five key informants: professors, vocal coaches, professional singers, music educators, and opera performers. Data analysis included transcribing interviews, coding for recurring themes, and cross-referencing observational data. The findings reveal that precise vocal techniques, such as breath control and tone modulation, and a deep understanding of the poems' contexts significantly enhance performance authenticity and emotional resonance. The study underscores the need for an integrated curriculum in music education that combines technical skills with cultural and literary education. It suggests incorporating historical context modules, technical workshops, interdisciplinary approaches, performance analysis, and practical opportunities to foster a comprehensive understanding of Gu Shi Ci art songs. This approach can deepen students' appreciation and ensure the rich cultural heritage of these songs continues to resonate with contemporary audiences.

This work, framed within a mental health prevention project aimed at early childhood education teacher students, aims to evaluate the suitability of the action to promote, in the educational field, the personal identification of traumatic experiences, incorporating them as vital learning. To this end, a performative action aimed at representing suffering and the capacity to overcome it was created, in which 71 early childhood education teacher students and 3 teachers participated, and which was implemented in Coruña (Spain), in 2022, in the postCOVID stage. In order to achieve the object of study, a research project was designed using public enquiry, documentary observation and participant observation to determine the suitability of the performance to the project's objectives. The results show how, through the representation of trauma, people have experienced that in the difficulties of life there is also learning, improving self-esteem and self-concept.

This research aimed to develop and validate a rubric to assess Artificial Intelligence (AI) chatbots' effectiveness in accomplishing tasks, particularly within educational contexts. Given the rapidly growing integration of AI in various sectors, including education, a systematic and robust tool for evaluating AI chatbot performance is essential. This investigation involved a rigorous process including expert involvement to ensure content validity, as well as the application of statistical tests for assessing internal consistency and reliability. Factor analysis also revealed two significant domains, "Quality of Content" and "Quality of Expression", which further enhanced the construct validity of the evaluation scale. The results from this investigation robustly affirm the reliability and validity of the developed rubric, thus marking a significant advancement in the sphere of AI chatbot performance evaluation within educational contexts. Nonetheless, the study simultaneously emphasizes the requirement for additional validation research, specifically those entailing a variety of tasks and diverse AI chatbots, to further corroborate these findings. The ramifications of this research are profound, offering both researchers and practitioners engaged in chatbot development and evaluation a comprehensive and validated framework for the assessment of chatbot performance.

Literacy abilities are crucial for economic progress and community welfare, with higher education recognizing them as vital for problem-solving, critical thinking, continuous learning, and effective functioning for both experienced educators and the new student cohorts. The study examined the interplay between organizational learning and departmental performance, and its implications for changes in Ethiopian Public Research Universities. The researchers used the framework that focuses on seven distinct dimensions of organization learning (OL) namely continuous learning, inquiry and dialogue, collective and collaborative efforts of organizational members, empowerment, embedded system, system connection and strategic leadership and departmental performance (DP) which consists of three dimensions teaching-learning, research and community services. The researchers employed embedded mixed methods design (QUAN + qual) to examine the interplay between organizational learning (OL) and departmental performance (DP). The researchers selected four public research universities using simple random sampling technique. Then, they selected 1,176 respondents (969 instructors and 207 department heads) from target population using simple random sampling technique. The researchers adapted standardized questionnaires and collected quantitative data using questionnaires, and analyzed using descriptive statistics (mean & standard deviation), and inferential statistics (multiple correlations, multiple regressions & structural equation modeling). Qualitative data was collected using semistructured interview from 14 key informants who were selected using the purposive sampling technique based on their rich lived experiences of teaching-learning, research and leadership in higher education institutions. The qualitative data was thematically analyzed. The finding of the study showed that the structural equation model fit to the data. It was also found that the correlations between the different dimensions of organizational learning practices and departmental performance ranged between low and moderate. There were positive significant and moderate correlations between each dimension of organizational learning and departmental performance. The organizational dimensions accounted the largest cumulative variance to departmental performance dimensions; research (R[superscript 2] = 40.70%; [beta] = 0.638, p < 0.001); community service (R[superscript 2] = 33.50%; [beta] = 0.579, p < 0.001) and teaching-learning (R[superscript 2] = 24.60%; [beta] = 0.496, p < 0.001). The study showed that the presence of formal and informal organizational learning cultures in universities enhance departmental performances. Therefore, the Ethiopian public research universities should create effective organizational learning systems to improve departmental performances.

This study examined the effects of students' argumentation standpoints on their argumentation learning in the context of socio-scientific issues (SSIs). To that end, four kinds of argumentation standpoints were defined: affirmative standpoints, oppositional standpoints, multiple standpoints, and non-standpoints. These four kinds of standpoints allow for six possible combinations of any two of the different kinds of standpoints, which enabled us to conduct six kinds of 2-team format debates. The resulting differences of students' four types of arguments (i.e., claims, warrants, rebuttals, and qualifiers) generated in six types of debates were examined. This study invited 208 10th-grade students to participate in a quasi-experimental research design. The results showed the affirmative group students demonstrated superior performance in terms of claims and warrants, and the oppositional group students had the largest number of rebuttals. The students in the debate with combinations of affirmative and oppositional groups exhibited the best performance regarding the generation of claims, warrants, and rebuttals. Based on the results, the present study concluded the standpoint had significant effects on the students' argumentation learning, which suggests that teachers can investigate students' standpoint on the learning topic of SSI and their prior knowledge about the standpoint before teaching.

The aim of the research is to investigate the academic achievement of ChatGPT, an artificial intelligence based chatbot, in a national mathematics exam. For this purpose, 3.5 and 4 versions of ChatGPT were asked mathematics questions in a national exam. The method of the research is a case study. In the research, 3.5 and 4 versions of ChatGPT were used as data collection tools. The answers given by both versions of ChatGPT were analyzed separately by three researchers. As a result of the analysis of the data, it was found that ChatGPT-4 was more successful in the exam compared to ChatGPT-3,5 version, was better at understanding the questions asked, understood the instructions better and included more details in the question solution, and at the same time, both versions made common and different mistakes. According to the findings of the study, it was concluded that ChatGPT sometimes worked very well, sometimes only worked well and sometimes failed. In the light of the findings of the study, it can be suggested to use ChatGPT versions in mathematics education to obtain basic information and to get supervised help.

Foreign language anxiety (FLA) is a well-documented phenomenon that can significantly affect academic performance. This study examined the extent to which Taiwanese postgraduate students experienced speaking anxiety during thesis defense presentations, along with potential gender differences and variations across postgraduate programs. It specifically analyzed the correlation between anxiety and thesis presentation performance. A meticulously designed study involving 168 Taiwanese master's students in an oral thesis defense seminar employed a modified Academic Performance Scale and Personal Report of Public Speaking Anxiety instruments to quantitatively evaluate anxiety levels. Statistical analyses unveiled significant associations between anxiety levels and academic performance. The results indicate a high level of anxiety among participants, with a mean anxiety level of 4.05 (N=168, X=2.85) and a moderate level of thesis presentation performance, evidenced by a mean score of 2.85 (N=168, X=2.85). Notably, female postgraduates exhibited higher anxiety levels than their male counterparts. The study identifies a positive, albeit modest, correlation between anxiety and performance, suggesting that a certain level of anxiety may enhance performance. The findings underscore the pervasive influence of anxiety in academic contexts and highlight gender disparities and the impact of diverse postgraduate programs on anxiety and performance. The study challenges conventional assumptions about the negative effects of anxiety on performance, suggesting that moderate anxiety can be a motivating catalyst. This study contributes to a more nuanced understanding of the role of anxiety in learning and performance and prompts the development of targeted interventions to address anxiety and support postgraduate students' academic success.

This narrative qualitative study explored how sorority members negotiated their identities within systems of hegemony with their student communities. Sorority members used women's empowerment discourse to rationalize how they consumed alcohol, engaged in frequent consensual sexual relationships, and navigated relationships with fraternity men and across their campus sorority/fraternity communities. Implications for practice included harm reduction, sex education, and supportive policies.

The aim of this study is to understand the relationship between teacher and student mindsets in relation to the student's comprehension of mathematics concepts. This study used a qualitative research type with a case study method. Participants in this study were 30 students and one teacher from one of the public junior high schools in Cianjur, Indonesia. Data sources used in this study were collected through teacher and student questionnaires, class observations, and semi-structured interviews. The class observation material was about linear function, and the learning process was carried out using the Complex Instruction (CI) approach based on growth mindset instruction. The questionnaire results show that teachers and students tend to have a fixed mindset. The fixed mindset of both the students and the teacher is particularly evident in their beliefs about the nature of math and their orientation towards student mastery and performance. The results of observations and interviews show a relationship between this mindset and student performance in class. Most students tend to show low performance in understanding linear function concepts. Based on the observations, students experienced problems in algebra thinking, had difficulty understanding mathematical concepts as a whole, and showed a lack of motivation and self-confidence. The results indicate that there is a significant relationship between the fixed mindsets of teachers and students towards students' lower performance in mathematics learning in the classroom.

This study aimed to demonstrate sustainable education practices in the field of amateur guitar education during the COVID-19 pandemic, emphasizing that all lessons were conducted entirely online. The goal of the study was to enhance economic, social, and environmental performance through a comprehensive approach that assessed the effectiveness of activity-based lesson plans focused on scale, chord, and arpeggio instruction. The lesson plans were designed to include introduction, development, and evaluation sections. The instructional intervention involved five beginner-level students over an eight-week period, with performance data evaluated by three expert evaluators using a 5-point Likert scale. The evaluation allocated 40% weight to theoretical knowledge test results and 60% to performance test outcomes, with student achievement scores ranging from 89.2 to 98.8. The success of the study highlights the potential for sustainable education practices in challenging times like the COVID-19 pandemic and serves as a model for others to follow.

This study focuses on the preservation and literacy transmission of the Mor Lam Khon Kaen style by the Rattanasin Intathairat Group and presents insightful findings in three knowledge-related aspects. In terms of knowledge definition, the Mor Lam Khon Kaen performance encompasses the preservation of its distinct identity, the collaborative exchange of knowledge among performers facilitated by Mrs. Chawala, the composer, and the meticulous memorization process of Klon Lam poems. Knowledge management within the performance involves the leadership of Mrs.Chawala, who guides the ensemble to ensure authentic Mor Lam Phuen style preservation over four evolving periods. This process entails systematic storage and retrieval through Klon Lam compilation, utilizing digital platforms for dissemination, and employing collaborative learning techniques. In the literacy transmission process, the Rattanasin Intathairat Group's inclusive approach welcomes disciples, emphasizes Klon Lam memorization, and adapts the timeframe to individual progress. The study's comprehensive insights shed light on the intricate interplay of preservation, literacy transfer, and community engagement within the Mor Lam tradition.

Throughout the history of classical music piano, various schools have emerged, often named after cities such as London, Vienna, and Hamburg. Today, it is widely accepted that there are three major piano schools: the French, German, and Russian schools. This study briefly mentions the history of Russian classical music and the development of the piano school in the country. It explores the individuals who played a significant role in this process and the techniques they employed in piano education. The main objective of the study is to determine the development of the piano school in Russia, the key influencers in this process, and the techniques used in piano education. The study employed a literature review and semi-structured interviews. As a result of the study it can be said that many important artists and teachers, especially Anton and Nicolai Rubinstein, created a classical music culture and tradition in Russia. Piano education based on a solid foundation, combined with the musical talent of the Russian nation, has enabled Russia to become one of the leading countries in piano performance today.

Chinese music has played a significant role in the lives of the Chinese people for generations, being passed down from one generation to the next. Particularly, Changchao Lu's Guqin teaching holds valuable academic insights. Therefore, this study aims to investigate the transmission of Guqin knowledge and literacy by Changchao Lu. The researchers used qualitative approaches, specifically interviews and observations. The study's findings illustrate that Changchao Lu's Guqin playing style exhibits attributes of tranquility, minimalism, strength, and adaptability. The instructor's pedagogical approach integrates conventional and progressive elements, placing significant emphasis on a comprehensive and balanced educational experience. He established the College of Chinese Arts, which aimed to amalgamate conventional and contemporary Guqin education. The institution prioritized several aspects, such as theoretical knowledge, performing skills, pedagogy, and even the craft of instrument-making. The use of online technologies, the promotion of collaborative learning, and the implementation of a student-centered approach all improve the educational experience. Changchao Lu's activities encompass the integration of Guqin, a traditional Chinese musical instrument, into rural schools, the promotion of cultural understanding, and the active engagement of local education officials. In addition, he engages in collaborative efforts with local governmental bodies to rejuvenate rural culture by means of Guqin, therefore nurturing artistic potential and establishing connections between Guqin art and local industry.

Second language (L2) writing researchers have enthusiastically adopted task complexity frameworks in their examination of the effects of complex task features on L2 written performance. However, such research often overlooks the effect(s) of such features on general L2 development as well as L2 writing development. Drawing from Manch?n and William's (2016) perspective of writing as a mechanism for language development, this paper (a) presents a critical review of L2 writing research informed by task-based language teaching and conceptions of task complexity and (b) argues for expanded L2 writing research on task complexity and its effect on L2 production as well as the ways in which complex task features facilitate attention to language, and thus general L2 development, and L2 writing development. Future research is suggested in light of a discussion of research trends to date.

This study aims to explore whether the creativity of university students in Higher Vocational Education in China can enhance their creative performance through autonomous motivation. The theoretical foundation of this study is interactionist model of creativity, the study employs structural equation modeling for analysis and validation. A survey assessing creativity, creative performance, and autonomous motivation was administered to students from higher vocational schools in China, yielding a valid sample of 392. The overall model results indicate that the creativity of vocational college students has a significant positive impact on creative performance, creativity positively predicted autonomous motivation, which enhanced creative performance. The autonomous motivation partially mediates the relationship between creativity and creative performance. The findings recommend that higher vocational institutions initiate creative activities to foster students' creativity and continuously bolster their autonomous motivation, thus enhancing the creative performance of future technical and skilled professionals -- vocational college students.

Differences in the sequence with which children pass the tasks in Wellman and Liu's (2004) theory of mind (ToM) battery is increasingly bringing into question the universal and cultural specifics of children's developing understanding of others' minds. Children from China, Iran, and Turkey pass the knowledge access (KA) task of the battery earlier than they pass the diverse beliefs (DB) task (e.g., Selcuk et al., 2018). This pattern is the reverse of what has been documented with children from Australia and the US (e.g., Peterson et al., 2005). This paper presents three studies with Turkish samples that explore the possible reasons for developmental sequence and performance differences in the ToM battery. Study 1 investigated Turkish-speaking adults' judgments of appropriateness for different epistemic verbs as used in the DB and false belief (FB) tasks. Study 2 investigated whether adults' performance (i.e., accuracy, reaction time) on FB tasks were affected by culturally preferred uses of these verbs. Collectively these studies showed that adults found different epistemic language ("guess," "think," and the Turkish-specific "falsely think") to be appropriate for different belief-based tasks. However, there was no difference in adults' performance based on epistemic language. In Study 3, Turkish-speaking preschoolers' performance in belief-related tasks based on variations in epistemic language and epistemic features (i.e., presence of evidence) was investigated. Among five modifications, Turkish children benefited only from a modification that involved the manipulation of the epistemological basis for ambiguous beliefs (i.e., visual evidence for belief).

Despite the importance of academic counselling for student success, providing timely and personalized guidance can be challenging for higher education institutions. In this study, we investigate the impact of counselling instances supported by a learning analytics (LA) tool, called TrAC, which provides specific data about the curriculum and grades of each student. To evaluate the tool, we measured changes in students' performance ranking position over 3 years and compared the performance of students who received counselling with and without the tool. Our results show that using the tool is related to an improvement in cohort ranking. We further investigated the characteristics of counselled students using cluster analyses. The findings highlight the potential beneficial influence on academic outcomes arising from the provision of guidance to students regarding their course load decisions via TrAC-mediated counselling. This study contributes to the field of LA by providing evidence of the impact of counselling supported by an LA tool in a real-world setting over a long period of time. Our results suggest that incorporating LA into academic counselling practices can improve student success.

In the modern age, we often consume content at faster than its normal speed. Prior research suggests that watching lecture videos at speeds up to 2x does not significantly affect performance, but the mechanisms by which comprehension is preserved at faster playback speeds are not fully understood. Therefore, we sought to investigate whether there is an effect of speed when the content is audio only, varies in modality (audio-only, audio-visual) and content (textual, pictorial), or is accompanied by distractions. In four experiments, we found that: (1) increasing playback speed to 2.5x speed did not impair test performance (though we still do not advise exceeding 2x speed); (2) having a visual aspect (i.e., presentation slides, instructor images) to learning can be advantageous, especially when processing information at faster speeds; (3) there was a small benefit of receiving textual over pictorial presentations, and the effect did not vary by speed; (4) computer-based distractions (i.e., phone calls, text messages, email notifications) did not impact performance at 1x or 2x speed. Hence, students are more adept at learning at faster speeds than conventional wisdom would suggest, even with distractions present, demonstrating intact comprehension at double the natural speed of to-be-learned material. Furthermore, multimedia presentations can help mitigate the negative costs of accelerated speeds, especially when information is processed by separate working memory components (i.e., narration in the auditory channel, text or pictures in the visual channel), which reduces cognitive load.

Despite the abundance of research linking leadership behaviours to organisational effectiveness in various sectors, there is a lack of empirical studies that investigate how leadership behaviours influence performance in the context of research universities. The present study examined the effects of leadership behaviours on departmental performance in public research universities in Ethiopia. The study employed a quantitatively driven embedded type of mixed methods design. The participants of the study were 1176 academic staff (969 instructors and 207 department heads). They were selected from four public research universities using a simple random sampling technique. In addition, 14 key informants were selected using a purposive sampling technique based on their teaching-learning, research and leadership lived experiences in higher education institutions and interviewed using semi-structured guiding questions. Quantitative data were collected using questionnaires composed of demographic questions and adapted versions of two scales: Multifactor Leadership Questionnaires and a new tool for measuring global academic performance. The quantitative data were analysed using frequency, percentage, multiple correlations and regression, one sample t-test, exploratory factor analysis and confirmatory factor analysis. Version 23.0 of Analysis of Moment Structures (AMOS) and SPSS-23 were used for data analyses. Qualitative data were analysed thematically using open code version 4.03 software. The analyses showed that transactional leadership dimension and teaching-learning dimension of departmental performance were practised predominantly. Dimensions of leadership behaviour were found to be positively and significantly related to dimensions of departmental performance. The joint contributions of dimensions of leadership behaviour were larger than their separate contributions, thereby supporting the formulated alternative hypotheses. Implications of the findings were discussed.

Accurate monitoring of performance in problem-solving tasks is an important prerequisite for students' future academic success. A wide variety of interventions aiming to enhance students' monitoring accuracy have been developed, but their effectiveness is not apparent from the individual studies in which they have been examined. This meta-analysis classified these interventions in terms of how they target students' monitoring and investigated their relative effectiveness to improve monitoring accuracy in problem-solving tasks. Findings across the 35 included studies indicated that all interventions combined have a small positive effect on students' monitoring accuracy (g = 0.25). Intervention type moderated the findings. Interventions on the whole task, metacognitive knowledge, and external standards improved monitoring accuracy. On the other hand, interventions targeting the timing of metacognitive judgment negatively impacted monitoring accuracy and significantly differed from all other interventions. Exploratory moderator analyses of study features indicated that secondary school students benefited least from the interventions compared to primary school students and adults, laboratory studies showed larger effects than classroom studies, and interventions were more effective for retrospective confidence judgments than for judgments of learning. For educational practice, interventions targeting the whole task, metacognitive knowledge, and external standards are recommended, while reconsideration and possibly discontinuation of timing interventions is needed.

Creativity is highly valued in both education and the workforce, but assessing and developing creativity can be difficult without psychometrically robust and affordable tools. The open-ended nature of creativity assessments has made them difficult to score, expensive, often imprecise, and therefore impractical for school- or district-wide use. To address this challenge, we developed and validated the Measure of Original Thinking for Elementary School (MOTES) in five phases, including the development of the item pool and test instructions, expert validation, cognitive pilots, and validation of the automated scoring and latent test structure. MOTES consists of three game-like computerized activities (uses, examples, and sentences subscales), with eight items in each for a total of 24 items. Using large language modeling techniques, MOTES is scored for originality by our open-access artificial intelligence platform with a high level of agreement with independent subjective human ratings across all three subscales at the response level (rs = .79, .91, and .85 for uses, examples, and sentences, respectively). Confirmatory factor analyses showed a good fit with three factors corresponding to each game, subsumed under a higher-order originality factor. Internal consistency reliability was strong for both the subscales (H = 0.82, 0.85, and 0.88 for uses, examples, and sentences, respectively) and the higher-order originality factor (H = 0.89). MOTES scores showed moderate positive correlations with external creative performance indicators as well as academic achievement. The implications of these findings are discussed in relation to the challenges of assessing creativity in schools and research.

In this article, student video visualization profiles are analyzed with two objectives: 1) to identify difficult sections in videos and 2) to predict student performance based on their video visualization profiles. For identifying critical sections in videos two novel indicators are proposed. The first one is designed to measure the complexity of the concept being described. The second proposal, identifies video sections that are more visually complex. For the first indicator, the average number of forward and backward passes are used. The higher the number of backward (forward) passes over a region, the more challenging (easy) the section is. For identifying sections with complex visuals, the number of pauses is recorded. Finally, the student performance prediction is carried out with the purpose of detecting the alignment between videos and their related questions. The results show that video visualization profiles are a good tool to identify video and question alignment.

The Music Performance Self-Efficacy Scale (MPSES) is an important scale designed to reflect the four sources of self-efficacy of Bandura by Zelenak, and has been used in many studies of music education in the international literature in recent years. This study was carried out to ensure the validity and reliability of the Turkish translation of the MPSES. Participants (N = 613) were students (men n = 291; women n = 322) in undergraduate-level music education programs in Turkey. The translation process included the following steps, which were performed by a translation group: (1) translation into Turkish, (2) back translation into English, and (3) cross-cultural adaptation. First and second-level confirmatory factor analysis results showed good model-data fit (for one main dimension and four sub-dimensions). Therefore, the Turkish version of MPSES produced satisfactory internal consistency coefficients ([alpha] = 0.75-0.91). Additionally, t-test results and item-total score correlation coefficients also revealed that the items re distinctive. Accordingly, The Turkish version of MPSES is a valid and reliable tool for determining the sources of music performance self-efficacy for those who will do research in Turkish.

Data on attaining indicators of early speech, language, and literacy development, notably phonological awareness, among children with visual impairments (VI) are limited. This U.S. study utilized the "National Survey of Children's Health" (NSCH), 2016-2020, to observe the distinctive population of children with VI and speech, language, and literacy needs. Chi-square bivariate and multivariable logistic regression analyses established differences between children ages 3 to 5 years with VI (n = 186) and without VI (n = 25,354). Significant differences included lower parental education and higher rates of family poverty for children with VI. Significantly fewer children with VI had attained early phonological awareness (identifying initial sounds in words and word rhyming). Nearly three times more children with VI had been diagnosed with a speech or language disorder. Findings affirm that interventions address speech, language, and literacy development among children with VI, including explicit phonological awareness. Communication disorders research based on population health databases can inform evidence-based practice.

Background: Behavioural intention (BI) has been predicted using other variables by adopting the technology acceptance model (TAM). However, few studies have examined whether BI can predict learning performance. Objectives: The present study used an extended TAM to investigate whether students' BI is a predictor of their listening learning performance (LLP) through vocabulary learning performance (VLP) in the context of mobile vocabulary-assisted listening learning by using two mobile learning tools. Methods: A total of 129 college students with a pre-intermediate level of English were recruited as participants, and a 10-week mobile vocabulary-assisted, listening-learning course was conducted in 2022. In each task of this course, the students had to learn target words from a listening passage on Quizlet and then engage in listening activities on Randall's ESL Cyber Listening Lab. Quantitative responses obtained through an online questionnaire were analysed through partial-least-squares structural equation modelling. Results: The analysis results indicated that BI significantly predicted LLP through VLP. Perceived ease of use (PEU) and perceived usefulness (PU) were significant antecedents of BI. However, PEU did not significantly predict PU because of the difficulty of navigating between the two technological tools used in this study. The extended model demonstrated its effectiveness in explaining listening learning performance, as evidenced by an explained variance (R[superscript 2]) of 69%. Conclusion: The extended model validates the influence of BI on learning performance and it can also draw teachers' focus toward the significance of enhancing students' BI to improve their listening learning performance. Pedagogical implications based on the results are provided in this paper.

Academic self-concept plays a central role in successful learning and is substantially shaped by social comparisons. Research on the so-called Big-Fish-Little-Pond Effect (BFLPE) has yielded a highly robust and generalizable pattern of negative effects of higher class/school average achievement on students' self-concept when controlling for individual achievement. However, most BFLPE studies have not provided information about the causes behind or the mechanisms underlying the proposed effects. To address this, we used a fully immersive virtual reality (IVR) classroom to experimentally test the extent to which students recognized performance-related classroom behavior as implicit social comparison information and how these perceptions explained differences in students' self-concepts. Participants (N = 381 sixth-grade students) experienced an authentic yet standardized IVR teaching situation with virtual classmates who exhibited different performance levels (operationalized as 20% vs. 35% vs. 65% vs. 80% of classmates raising their hands). Hand-raising behavior had a significant positive effect on students' perceptions of the class' performance level (d[subscript 20% vs. 65%] = 0.60; d[subscript 20% vs. 80%] = 1.24). In line with the BFLPE, results showed a negative effect of higher performing classmates on students' situational self-concept (d[subscript 20% vs. 80%] = 0.30). Students' perceptions of the class' performance level fully explained the effect of classmates' hand-raising behavior on students' situational self-concept. The study's experimental approach provided new insights into the emergence of social comparison effects in the classroom, highlighting the major role of students' perceptions of their classmates' performance-related behavior, and moreover demonstrated the general potential of using IVR in classroom research.

Attending a concert may prove difficult for individuals with exceptionalities or disabilities and those who support them. While traditional performance environments may not feel welcoming or amenable for individuals with exceptionalities and their families, arts organizations have recently made efforts to produce concerts that address barriers to accessibility. These adaptive concerts, most frequently labeled as Sensory-Friendly Concerts, attempt to create environments suitable for diverse communities, supporting individuals and groups who are frequently underrepresented as audience members in performance contexts. This article explores adaptive music performances, contributing a model for sensory-friendly adaptive concerts supported by caregivers' perspectives through a post-concert survey. The model proposed includes four areas of adaptation: pre-show work, environment audit, extra-musical aids, and programming adjustments. The authors outline the various modifications with data points from a sample of adaptive concert caregiver attendees (n = 15), aligning the theoretical model with practice to provide practical examples and tangible outputs for researchers, presenters, musicians, educators, and policymakers.

Childhood adversity can lead to cognitive deficits or enhancements, depending on many factors. Though progress has been made, two challenges prevent us from integrating and better understanding these patterns. First, studies commonly use and interpret raw performance differences, such as response times, which conflate different stages of cognitive processing. Second, most studies either isolate or aggregate abilities, obscuring the degree to which individual differences reflect task-general (shared) or task-specific (unique) processes. We addressed these challenges using Drift Diffusion Modeling (DDM) and structural equation modeling (SEM). Leveraging a large, representative sample of 9--10 year-olds from the Adolescent Brain Cognitive Development (ABCD) study, we examined how two forms of adversity--material deprivation and household threat--were associated with performance on tasks measuring processing speed, inhibition, attention shifting, and mental rotation. Using DDM, we decomposed performance on each task into three distinct stages of processing: speed of information uptake, response caution, and stimulus encoding/response execution. Using SEM, we isolated task-general and task-specific variances in each processing stage and estimated their associations with the two forms of adversity. Youth with more exposure to household threat (but not material deprivation) showed slower task-general processing speed, but showed intact task-specific abilities. In addition, youth with more exposure to household threat tended to respond more cautiously in general. These findings suggest that traditional assessments might overestimate the extent to which childhood adversity reduces specific abilities. By combining DDM and SEM approaches, we can develop a more nuanced understanding of how adversity affects different aspects of youth's cognitive performance.

This study explores potential disparities between flight instructor evaluations and pilot self-assessments in the context of full flight simulator training. Evaluated performance was based on the Competency-based Training and Assessment framework, a recent development of competency-based education within aviation. Self-assessed performance is derived from survey responses and debriefing interviews. The simulator session involves eight multi-crew pilot training graduates and eight experienced flight captains, encompassing two tasks featuring sudden technical malfunctions during flight. The flight instructor's evaluations reveal no significant differences in pilot performance. However, disparities become apparent when pilots engaged in reflecting their performance. Novice pilots, despite perceiving both tasks as easy, exhibited an overconfidence that led them to underestimate the inherent risks. Conversely, experienced pilots demonstrated greater caution towards the risks and engaged in discussing possible hazards. Furthermore, this study highlights the challenge of designing flight simulator training that incorporates surprise elements. Pilots tend to anticipate anomalies more readily in simulator training than during actual flights. Thus, this study underscores the importance of examining how pilots reflect on their performance, complementing the assessment of observable indicators and predefined competencies.

Many instructors use a syllabus quiz to ensure that students learn and understand the content of the syllabus. In this project, I move beyond this exercise's primary function and examine students' syllabus quiz scores to see if they can predict how well students perform in the course overall. Using data from 495 students enrolled in 18 sections of an Introduction to Sociology course, I find that students who do not earn a maximum score on the syllabus quiz are more likely to receive a lower final course grade and are less likely to pass the course than their top-scoring counterparts. These findings allow instructors to identify struggling students as early as the first week of the semester and design interventions that will match up with students' particular needs and strengths. Furthermore, this project demonstrates the pedagogical usefulness of the syllabus quiz beyond its initial purpose of testing students' knowledge of course policies and procedures.

This study's purpose is to extend our understanding of school leadership for student learning by identifying high-leverage teacher evaluation practices that improve teaching. A partnership with a state education agency administered a teacher questionnaire regarding evaluation practices multiple times in one semester, then linked teacher responses to their next within-semester observation score. Broadly, teachers reported on scoring practices, the facilitation of post-observation conferences, feedback characteristics, and post-conference supports for evaluation-informed professional learning. Fixed effect regressions effectively compare observation scores and teacher-reported evaluation practices within the same teacher or teacher-by-evaluator pairing over four months while controlling for month-to-month influences on performance. The methods remove several serious confounders plausibly affecting related estimates in prior work. The analysis identifies six high-leverage teacher-reported evaluation practices, most of which apply to post-conference practices linking evaluation to professional learning. The evidence refines the academic understanding of leadership for student learning and implies that leadership preparation and in-service programs might emphasize the six high-leverage evaluation practices to promote active use among practicing leaders. Policymakers might ensure that aspiring and in-service leaders can develop these practices and that there are strong links between teacher evaluation and professional learning systems for school leaders to use.

Recently, several studies have suggested that metacognition emerges early in infancy and toddlerhood. However, to date, the developmental trajectory of these early metacognitive monitoring and control processes and their influence on children's later memory functioning remains poorly understood. The aim of this study was to longitudinally document the development of metacognition between the ages of 2.5 and 4.5 years and to examine the link between these early metacognitive skills and later memory performance. To do so, 69 children initially aged 29-33 months old (N[subscript T0] = 69; 32 females; M[subscript age] = 32.3 months; SD = 1.6) were tested at three time points (12-month intervals) with a recognition memory paradigm designed to assess both metacognitive monitoring, through retrospective confidence judgment, and metacognitive control, through a cue selection task (i.e., children had the opportunity to ask for a cue to help them change their memory decision). In addition, at the last session, an episodic memory task (story recall) was also administered. Our results revealed an improvement in monitoring and control processes between 2.5 and 4.5 years with above-chance performance from around age 3.5. Mixed-effects modeling also indicated that metacognitive monitoring at ages 2.5 and 4.5, but not--unexpectedly--metacognitive control, was related to children's memory performance at age 4.5. Overall, our results provide evidence to enhance our understanding of the developmental course of metacognition from toddlerhood to early childhood and suggest that metacognitive processes are involved in memory performance much earlier than had previously been shown.

Machine learning (ML) models are fundamentally shaped by data, and building inclusive ML systems requires significant considerations around how to design representative datasets. Yet, few novice-oriented ML modeling tools are designed to foster hands-on learning of dataset design practices, including how to design for data diversity and inspect for data quality. To this end, we outline a set of four data design practices (DDPs) for designing inclusive ML models and share how we designed a tablet-based application called Co-ML to foster learning of DDPs through a collaborative ML model building experience. With Co-ML, beginners can build image classifiers through a distributed experience where data is synchronized across multiple devices, enabling multiple users to iteratively refine ML datasets in discussion and coordination with their peers. We deployed Co-ML in a 2-week-long educational AIML Summer Camp, where youth ages 13-18 worked in groups to build custom ML-powered mobile applications. Our analysis reveals how multi-user model building with Co-ML, in the context of student-driven projects created during the summer camp, supported development of DDPs including incorporating data diversity, evaluating model performance, and inspecting for data quality. Additionally, we found that students' attempts to improve model performance often prioritized learnability over class balance. Through this work, we highlight how the combination of collaboration, model testing interfaces, and student-driven projects can empower learners to actively engage in exploring the role of data in ML systems.

This study investigates the transformative potential of integrating Artificial Intelligence (AI), animation, and personalized learning in contemporary education. Employing a mixed-methods approach involving interviews and experimental manipulations, the research examines the interconnectedness of these three domains and their collective impact on student engagement and English reading comprehension learning outcomes. The study employed a quasi-experimental design. Participants engaged in an 8-week AI-driven personalized learning intervention that incorporated animated content, with pre- and post-test assessments evaluating reading comprehension outcomes. Qualitative data from interviews provided further insight into the impact of animation and personalized learning on student engagement and comprehension. Findings reveal that AI-driven personalized learning, coupled with engaging animations, leads to enhanced learner motivation, improved knowledge retention, and higher academic performance. The integration of these elements creates an inclusive and adaptable learning environment, addressing the diverse needs of students. This research highlights the significance of interdisciplinary collaboration in educational innovation and emphasizes the vast potential that lies at the intersection of AI, animation, and personalized learning to revolutionize 21st-century education.

The paradoxical effects of contextual interference (CI) assume that high CI practices hinder performances during the acquisition phase of learning, while providing more permanent enhancement during the retention phase. This meta-analysis evaluates the possible generalizability of the CI phenomenon in physical education (PE) and sports contexts, with regard to the acute and relatively permanent gains in performance outcomes. A total of 933 records from five electronic databases were screened using the PICOS criteria, of which 36 studies were selected. Outcomes evaluating the performance changes ([dellta]) from pre-post, post-retention, and pre-retention tests were included. Out of 183 overall pooled outcomes, [delta] in only 37 performance outcomes (20%) agreed with the paradoxical CI effects on the acquisition or the relatively permanent gains. No statistically significant overall difference was detected for "[delta] pre-post" between low (blocked) (28.9 ± 59.5%) and high (random/serial) (27.9 ± 52.8%) CI (effect size (ES) = 0.1, p = 0.35). An overall significant difference (p = 0.001) in favor of high CI practice was detected in "[delta] post-retention." However, this difference was not large enough (ES = -0.35) to produce an overall greater long-term gain following high (24.56 ± 4.4%), compared to low (21.9 ± 9.8%) CI (ES = -0.13, p = 0.18). Out of 10 tested variables, only the age significantly moderated both CI effects (p < 0.0001 for both [delta] pre-post and [delta] pre-retention) and the female proportion significantly moderated only the first CI effect (p = 0.009 for [delta] pre-post). These findings found very limited evidence supporting the recommendation to employ high CI practices to gain a longer-term performance advantage, calling into question the generalization of the CI model to PE and sports practices. High-quality follow-up research evaluating alternative motor-learning models are therefore needed.

For assessment scales applied to different groups (e.g., students from different states; patients in different countries), multigroup differential item functioning (MG-DIF) needs to be evaluated in order to ensure that respondents with the same trait level but from different groups have equal response probabilities on a particular item. The current study compares two approaches for DIF detection: a multiple-group item response theory (MG-IRT) model and a generalized linear mixed model (GLMM). In the MG-IRT model approach, item parameters are constrained to be equal across groups and DIF is evaluated for each item in each group. In the GLMM, groups are treated as random, and item difficulties are modeled as correlated random effects with a joint multivariate normal distribution. Its nested structure allows the estimation of item difficulty variances and covariances at the group level. We use an excerpt from the PISA 2015 reading domain as an exemplary empirical investigation, and conduct a simulation study to compare the performance of the two approaches. Results from the empirical investigation show that the detection of countries with DIF is similar in both approaches. Results from the simulation study confirm this finding and indicate slight advantages of the MG-IRT model approach.

Objective: This study aimed to evaluate how health educators use emotional appeals on the social media site TikTok to promote well-being, engage audiences and reduce mental health stigma. Design/Method: Our research team conducted a quantitative content analysis of 400 TikTok videos centred on health education. We evaluated the frequency of mental health content compared with general health education content and associated views, engagement and use of emotional appeals. Results: Mental health content frequently appeared in #EduTok health videos and earned significantly greater reach than general health content. However, videos discussing mental health earned less engagement and relied less on emotional appeals. Mental health content mainly relied on affiliation, hope and sorrow message appeals, although the presence of these appeals did not significantly affect engagement. General health content utilised personal stories, expert credentials and emotional appeals more frequently than mental health content. Conclusion: Evidence from this research suggests that mental health educational content underperforms general health videos and underutilises emotional appeals on TikTok. Health educators must critically analyse and adjust message strategies to enhance audience reception, taking note of success across health topics. We discuss the implications for how practitioners can use TikTok to reduce stigma and promote positive mental health with emotionally engaging content, especially among young audiences.

Purpose: Autism spectrum disorder (ASD) is a complex developmental condition including persistent challenges with social communication, restricted interests, and repetitive behavior. Though prospective memory failures are commonly observed in ASD population it has been less studied among adults with ASD. Prospective memory (PM) refers to the execution of delayed intentions. There are contradictory findings of regular and irregular prospective memory task among autistic adults. The present study is an attempt to investigate prospective memory performance among adults with autism spectrum disorder using the Virtual Week board game. Method: Virtual Week (Rendell & Craik, 2000) (3-day Version) is a computerized board game in which participants after rolling a die move token clockwise around the board. Each round of the board represents one virtual "day." Adults between 16 and 25 years of age who were diagnosed with ASD (N = 23) were compared with non-ASD (N = 26) adults. Results: Analyses of variance were used to analyze the data. Results revealed that autistic adults as compared to normal adults showed poorer performance on time-based task than on event-based task. A significant difference was evident between regular and irregular prospective memory tasks across both tasks among autistic adults. Results also revealed that ASD difficulties are associated with the prospective component of the irregular task. Conclusions: Prospective memory failures are widely observed in ASD group, and have important implications for functional independence. The findings of this study provide insight into prospective memory challenges that adults with autism spectrum disorder face in a daily basis.

Based on the Achievement Goals Theory and Students' Approaches to Learning, we proposed a model in which students' self-efficacy acts as a mediator between students' performance-approach goals orientation and their approach to learning in dealing with academic tasks throughout an academic year. We used structural equation modelling (SEM) to test the model on a sample of 565 first-year university students at three different moments. The results showed that self-efficacy in academic tasks at T2 totally mediated the relationship between performance-approach goals at T1 and the deep approach at T3 and partially the relationship with the surface approach at T3. The results underline that if the direct effect of performance-approach goals is that of the surface approach intensification without any impact on the deep approach, an increase in the deep approach and a decline in the surface approach can be observed through self-efficacy in academic tasks.