Metacognitive Awareness Research Articles

Differentiated Learning Models: Students’ Learning Style, Readiness, and Interest in Learning Regarding the Results of Fiqh

<em>The differentiation learning model is a novel approach that caters to the demands of the 21st- century education system. Studies conducted by Indonesian scholars on this model are scarce, with limited focus on its impact on students' cognitive abilities and metacognitive awareness. Therefore, this study seeks to investigate the impact of incorporating a differentiated learning approach founded on the learning preferences, preparedness, and engagement of pupils on Fiqh's academic performance. An explanatory survey technique employing the Stratified Random Sampling methodology is utilized in this research. The sample comprises all fifth-grade students of the State Islamic Primary School in Tulungagung Regency, amounting to a total of 507 learners. The study's sample comprises four randomly selected State Islamic Primary Schools from the seven Tulungagung Regency, with a total of 276 students studying Fiqh. The data collection instruments used include test sheets for learning outcomes, notes on creative thinking skills, and motivation questionnaires. The data is then analyzed using a two-way Analysis of Variance (ANOVA) with a significance level of 5%. The results of the research indicate that: (1) There is no discernible disparity in Fiqh learning outcomes based on learning style. (2) There is no disparity in Fiqh learning outcomes based on students’ learning readiness. (3) Disparities in Fiqh learning outcomes based on students’ learning interests exist. (4) A noteworthy interaction exists between the implementation of differentiation learning aspects of learning styles, learning readiness, and students’ learning interests on Fiqh learning outcomes. The findings of this study suggest that the differentiation learning model provides an alternative approach to learning that addresses the needs of the modern era.</em>

College Students Recognize Characteristics of Autism, but Struggle to Differentiate Between Characteristics of Autism and Other Disabilities.

The current study evaluates whether college students can identify characteristics of autism as diagnostic for autism, and characteristics of other disabilities as not diagnostic for autism. This study also examines metacognitive awareness of autism knowledge, evaluating whether college students can accurately calibrate their confidence in their beliefs about autistic characteristics. 283 college students completed the Autism Symptomatology Knowledge Assessment (McMahon et al. Research in Autism Spectrum Disorders 71:101499, 2020). In this assessment, participants were presented with characteristics of autism and other disabilities and asked to identify which characteristics could be used to diagnose someone with autism. For each characteristic, participants indicated how certain they were in their response. Participants more accurately categorized characteristics of autism, particularly social interaction and communication challenges, as being consistent with an autism diagnosis. Participants had more difficulty identifying that characteristics of other disabilities, especially anxiety, ADHD, and learning disabilities, were not diagnostic for autism. For autistic characteristics, participants' confidence and accuracy were positively correlated, such that participants who responded accurately were more confident in their response than those who responded inaccurately. For other disability characteristics, confidence and accuracy were typically not correlated or inversely correlated, indicating poor metacognitive awareness. College students confuse autism with other disabilities, which may have important implications in real-world contexts. Furthermore, individuals with poor metacognitive awareness of their autism knowledge may not realize that they are confusing autism with other disabilities, such that they may not seek out additional corrective information about autism.

Delving into the Critical Thinking Skills of Pre-Service Mathematics Teachers with Their Metacognitive Awareness

Metacognitive awareness (MA) and critical thinking (CT) are crucial higher-order thinking skills in mathematics education. MA and CT skills of pre-service teachers are considered important predictors of their future teaching practices in the teaching and learning of mathematics. In this context, the study examines the potential effects of socio-demographic (e.g., gender) and academic variables (e.g., academic year and academic achievement) on MA and CT skills of pre-service mathematics teachers (PSTs). Additionally, the aim of this study is to explore the relationship between the MA and CT skills of PSTs. Employing a quantitative research methodology, the study was structured around a correlational model. It involved 218 PSTs, using the “MA Inventory” and “CT Standards Scale” for data collection. The data were analyzed through independent sample t-test, one-way analysis of variance, correlation analysis, and simple linear regression analysis. The findings indicate that PSTs possess a high level of MA and CT skills. Significant differences in MAs of PSTs were observed with respect to academic year and academic achievement, while the CT skills of PSTs showed significant differences concerning gender and academic achievement. A strong, positive, and significant correlation was found between MA and CT skills of PSTs. Furthermore, the MAs of PSTs were identified as a significant predictor of their CT skills, explaining 38% of the variance in CT skills.

Human‐AI collaboration: Designing artificial agents to facilitate socially shared regulation among learners

AbstractSocially shared regulation of learning (SSRL) is a crucial process for groups of learners to successfully collaborate. Detecting and supporting SSRL is a challenge, especially in real time, but hybrid intelligence approaches such as Artificial Intelligence (AI) agents may make this possible. Leveraging the concept of trigger events which invite SSRL, we present a design of an AI agent, MAI, which can detect SSRL and prompt students to raise their group‐level metacognitive awareness with the aim of facilitating SSRL. We present the methodology we used to design MAI, drawing on the Echeloned DSR (eDSR) Methodological Framework and making use of the Wizard of Oz prototyping paradigm. We likewise present empirical results evaluating our initial prototype of MAI, using lexical alignment between speakers as a quantitative measure of the effect of MAI's prompts on facilitating SSRL, the Partner Model Questionnaire as a quantitative measure of perceptions of MAI, and interviews as qualitative context for these perceptions. We found that the first prototype of MAI did not facilitate SSRL as hoped, possibly owing to mixed perceptions of MAI's reliability and lack of clarity about MAI's role in the collaborative learning task. From these findings, we offer revised prompts for the next iteration of prototyping this agent and a refined set of design requirements for future development of metacognitive AI agents for supporting SSRL. Practitioner notesWhat is already known about this topic Socially Shared Regulation of Learning (SSRL) is recognized as a critical component for the success of collaborative learning, emphasizing the importance of group‐level regulatory processes in achieving shared goals, enacting strategies and monitoring learning progress. Supporting SSRL in face‐to‐face collaborative learning environments presents challenges, including the complexity of coordinating and synchronizing individual contributions and regulatory actions within a group context. What this paper adds This paper introduces the design of Metacognitive Artificial Intelligence (MAI), a novel AI system aimed at enhancing Human‐AI collaboration for supporting and augmenting SSRL processes. Through empirical research, the study offers lessons learned and design considerations for developing artificial agents on facilitating and enhancing SSRL among learners, demonstrating how AI can play a pivotal role in collaborative learning environments. The findings highlight the critical importance of multidisciplinary knowledge in the design of multi‐agent interfaces (MAI) that provide real‐time, adaptive support for group metacognitive processes and decision‐making. Implications for practice and/or policy Educational technologists can utilize the proposed design principles in the development and integration of MAI tools to enhance SSRL. Educators can incorporate the principles of MAI and our relevant findings into their teaching strategies to actively foster and support socially shared regulation of learning among students. Policymakers should consider revising educational frameworks to include the use of AI technologies that support SSRL strategies in collaborative learning.

University students' metacognitive awareness of reading strategies (MARS) in online reading and MARS' role in their English reading comprehension.

Investigation about metacognitive awareness of reading strategies (MARS) has mainly focused on paper-based reading rather than online reading. Gender, reading media preferences, and English proficiency levels (EPL) account for students' differences in MARS. However, existing studies are still debating the predictive power of these variables on MARS. MARS was assumed to influence English reading comprehension even though research that firmly supports this assumption seems rare. Therefore, we examined Indonesian university students' MARS in online reading activities using data from 1412 university students in Indonesia. They were categorized into gender, reading media preferences, and EPL. The One-Way MANOVA results showed students' differences in MARS based on their gender, (F = 20.456, p < 0.05), reading media preferences, (F = 2.82, p < 0.05), and students' EPL, (F = 5.988, p < 0.05). The multiple regression analysis showed that global, support, and problem-solving strategies were simultaneously associated with English reading comprehension scores. This study emphasizes the effect of the variables on students' MARS differences and discloses the association between MARS and English reading comprehension.

Nurturing soft skills and metacognition awareness through STEAM projectbased learning: A comprehensive need analysis

This study systematically analyzes educational literature using VOSviewer to explore the potential of developing STEAM Project-Based Learning (STEAMPjBL) for fostering soft skills and metacognitive awareness. Following the VOSviewer analysis, a needs survey was conducted with 36 lecturers and 232 students from Indonesia and Malaysia. This research uses a mixed-methods approach with an exploratory sequential design. Findings indicate a strong potential for STEAMPjBL to enhance students' soft skills and metacognitive awareness. Lecturer survey results highlight significant potential for STEAMPjBL development through collaborative networks among lecturers and institutions. Although most students were unfamiliar with STEAMPjBL, they expressed interest in using it in both classroom and extracurricular STEAM projects. From both the literature review and survey perspectives, the development of STEAMPjBL to promote soft skills and metacognitive awareness is essential.

Metacognitive training for algebra teaching to high school students: An action research study

Metacognition is an essential concept in mathematics education research. Studies indicate that high school students in Turkey must demonstrate expected success in learning mathematics in general and algebra in particular. To this end, the Ministry of National Education has initiated a mathematical mobilization in Turkey. Mathematics mobilization is a project that will adapt the learning of mathematics to daily life skills, making learning more accessible and ensuring that students love this course from an early age. In the initial interviews with teachers as part of this mobilization, teachers stated that high school students needed to exhibit sufficient metacognitive planning and monitoring strategies. Therefore, they required assistance in planning and monitoring their learning processes and motivating them to learn. The literature shows that metacognitive planning and monitoring are effective in teaching algebra. In this context, the research “How can metacognitive strategies be developed in high school students’ algebra learning?” seeks an answer to this problem. Based on preliminary teacher interviews, the researchers created action plans in collaboration with teachers. In the circular model, researchers tested these action plans and revised them. As a result of the cycle being repeated three times, researchers developed a teaching technique based on metacognitive planning and monitoring for high school students. The study’s findings demonstrate that metacognitive training taught students metacognitive planning, monitoring, prediction, awareness, and motivation strategies.

Digitalization as a determinant of transformations in the cognitive subsystem of the psyche

Introduction. The purpose of the work was to study the theoretically and practically urgent problem of transformations of the cognitive and metacognitive spheres of personality under the influence of digitalization factors, as well as to identify and explain the psychological consequences to which they lead in relation to educational activities. Materials and methods of research. The most valid and reliable methods developed in modern metacognitivism were used – the “Metacognitive Awareness of Activity” technique (G. Schrow, R. Denison); MAI method D. Everson; a method for diagnosing an individual measure of the development of reflexivity (A.V. Karpov, V.V. Ponomareva), as well as the author’s methods for diagnosing an individual measure of the development of metathinking and metamemory. Methods of mathematical and statistical processing (ANOVA) and methods based on the methodology of structural psychological analysis were used. The study involved 192 students from different universities in Yaroslavl. Research results. For the first time, it has been established that the determinative influence of digitalization factors on the metacognitive sphere of the individual is fundamentally diversified, since it combines both positive and negative tendencies. In relation to 5 of the 8 parameters studied, it is negative, in relation to 1 – positive and statistically significant at a fairly high level of significance – not lower than p &lt; 0.05, in relation to 2 – neutral. As a result, a fundamentally new, hitherto undescribed phenomenon is established, which is designated as a syndrome of decreased metacognition. Discussion of results and conclusion. A number of new data have been obtained that reveal and explain the general pattern consisting in the existence of a significant determinative influence of digitalization factors on the metacognitive sphere of the individual, both in general and in the context of educational activities. The discovered influence is also fundamentally diversified – complex, since it is carried out at two main levels – analytical and structural. The essence of the analytical level of determination is that there is a significant and quite significant decrease in the degree of development of individual components of the metacognitive sphere – the main secondary cognitive processes and their corresponding qualities. The specificity of the structural level of determination is that similar – also significant and significant transformations occur in terms of general organization – the structuring and integration of these components into integrity.

How Do Famous Artists Write about Their Metacognition, Self-Regulation and Creative Problem-Solving?

Creative metacognition, creative self-regulation, and creative problem-solving are three key concepts stemming from distinct psychological traditions. However, all three involve planning, monitoring, regulation, and self-evaluation in the creative process. Therefore, the objective of the present study was to describe and compare how these three models are exhibited in the cases of five professional artists, as depicted in their autobiographical writings. The artists were selected based on maximum-variation sampling to represent different artistic fields: Stephen King, Salvador Dalí, Patti Smith, Terry Gilliam, and Arnold Schwarzenegger. A theory-driven thematic analysis, using the Metacognitive Awareness Inventory, the Creative Self-Regulation Questionnaire, and Mumford's model of Creative Problem-Solving, revealed both commonalities and differences in the ways these artists apply metacognitive knowledge, and self-regulatory and problem-solving strategies in their creative processes. Furthermore, the study identified several elements not included in these models, such as the need for a psychologically safe environment, the roles of extrinsic and intrinsic motivation, and the perceived value of creativity.

The Effect of Students’ Metacognitive Awareness and Reading Comprehension in Narrative Text of Second-Grade Students

This research aims to determine students’ metacognitive and reading comprehension in narrative text. This study investigates whether metacognitive awareness affects students' reading comprehension of narrative text at SMA N 3 Binjai. This research applied a quantitative approach, the population was the second-grade students at SMA N 3 Binjai in the 2024 academic year, and the sample was XI MIA 1 and XI MIA 2. The first sample involves 34 students for the experimental group (XI MIA 1) and the second sample involves 36 students for the control group (XI MIA 2). The instruments for collecting data were tests and questionnaires. There were pre-tests and post-tests for collecting data and the researcher gave pre-tests and post-tests to both classes. Based on the data, it was found that the result of the t-test (t-calculated) was higher than the t-table value at a significance level of p = 0,05 (2,1 &gt; 1,995). Therefore, the alternative hypothesis (Ha) is accepted and the null hypothesis (Ho) is rejected. This indicates that metacognitive awareness was significantly influence the reading comprehension achievement of second-grade students at SMA N 3 Binjai.

The mediating role of self-directed learning ability in the impact of educational environment, learning motivation, and emotional intelligence on metacognitive awareness in nursing students

PurposeThis study aimed to examine the mechanisms influencing metacognitive awareness among nursing students, encompassing educational environment, learning motivation, emotional intelligence, and self-directed learning ability. These findings could be a theoretical reference for formulating metacognitive awareness intervention strategies specifically designed for nursing students.MethodThrough stratified sampling, 600 nursing students were recruited from two universities in China. Data collection involved five self-report instruments: the Metacognitive Awareness Inventory, Medical Education Environment Evaluation Scale, Learning Motivation Scale, Emotional Intelligence Scale, and Self-Directed Learning Ability Scale. Confirmatory factor analysis was utilized to test the measurement model, while structural equation modeling utilized multiple indices to assess model fit. Bootstrapping was conducted to analyze total, direct, and indirect effects.ResultsAll study variables differed significantly according to age and year level (p < 0.01). Metacognitive awareness positively correlated with the educational environment, learning motivation, emotional intelligence, and self-directed learning ability ( r = 0.493–0.729; all p < 0.01). The test of the measurement model shows good reliability and validity. The model depicting factors influencing metacognitive awareness demonstrated a good fit (χ2/df = 2.42, SRMR = 0.048, RMSEA = 0.049, CFI = 0.947, IFI = 0.935). Path analyses revealed that educational environment (EE), learning motivation (LM), and emotional intelligence (EI) directly impacted self-directed learning ability (SDLA) ( βEE = 0.189, βLM = 0.436; βEI = 0.215; all p < 0.05). Moreover, educational environment and self-directed learning ability directly influenced metacognitive awareness (βEE = 0.224, βSDLA = 0.520; all p < 0.05). Lastly, the educational environment, learning motivation, and emotional intelligence influenced metacognitive awareness by self-directed learning ability.ConclusionMetacognitive awareness in nursing students rises with age and year level. Females exhibit more potent self-directed learning abilities than males. Educational environment, motivation, and emotional intelligence indirectly influence metacognitive awareness via self-directed learning ability. This finding has enriched the ways and perspectives of metacognitive awareness training for nursing students.

Relationship of Metacognition with Academic Performance of Prospective Teachers: Modeling Mediation Effect of Digital Literacy

This study examines the relationship between metacognition and academic performance among prospective teachers while modelling the mediation effect of digital literacy. The study was quantitative in nature. In the positivistic paradigm of metacognition research, quantitative relational research design was most appropriate for the research design. 9,680 participants enrolled in a four-year program, i.e. BS Education and B. Ed at the Department of Education in the universities of Punjab Province were the population of the study. A sample of 976 prospective teachers was selected through a stratified random sampling technique. Metacognitive awareness inventory and digital literacy scale were adapted. Data was analyzed using SPSS and AMOS. Pearson product-moment relation revealed that metacognition was positively related to the academic performance of prospective teachers. The statistical results found that digital literacy has a strong moderating influence on the association between metacognition and academic achievement among prospective teachers. Metacognition and digital literacy are found to play a significant effect in improving prospective teachers' academic performance. It is recommended for future studies that examining specific aspects of digital literacy in more depth could yield valuable insights. For instance, research might delve into the role of information fluency or the ability to manage online identities in relation to other indicators of academic success.

Evaluating the Value of Eye-Tracking Augmented Debriefing in Medical Simulation-A Pilot Randomized Controlled Trial.

Debriefing after simulation facilitates reflective thinking and learning. Eye-tracking augmented debriefing (ETAD) may provide advantages over traditional debriefing (TD) by leveraging video replay with first-person perspective. This multisite randomized controlled trial compared the impact of ETAD with TD (without eye-tracking and without video) after simulation on 4 outcomes: (1) resident metacognitive awareness (the primary outcome), (2) cognitive load (CL) of residents and debriefers, (3) alignment of resident self-assessment and debriefer assessment scores, and (4) resident and debriefer perceptions of the debriefing experience. Fifty-four emergency medicine residents from 2 institutions were randomized to the experimental (ETAD) or the control (TD) arm. Residents completed 2 simulation stations followed by debriefing. Before station 1 and after station 2, residents completed a Metacognition Awareness Inventory (MAI). After each station, debriefers and residents rated their CL and completed an assessment of performance. After the stations, residents were interviewed and debriefers participated in a focus group. There were no statistically significant differences in mean MAI change, resident CL, or assessment alignment between residents and debriefers. Debriefer CL was lower in the experimental arm. Interviews identified 4 themes: (1) reflections related to debriefing approach, (2) eye-tracking as a metacognitive sensitizer, (3) translation of metacognition to practice, and (4) ETAD as a strategy to manage CL. Residents reported that eye tracking improved the specificity of feedback. Debriefers relied less on notes, leveraged video timestamps, appreciated the structure of the eye-tracking video, and found the video useful when debriefing poor performers. There were no significant quantitative differences in MAI or resident CL scores; qualitative findings suggest that residents appreciated the benefits of the eye-tracking video review. Debriefers expended less CL and reported less perceived mental effort with the new technology. Future research should leverage longitudinal experimental designs to further understand the impact of eye-tracking facilitated debriefing.

Cognitive and Metacognitive Reading Strategies for Ethiopian Students in English as a Foreign Language

Purpose. This study's purpose is to investigate the effects of explicit cognitive reading strategy training on reading performance and metacognitive reading strategy awareness of Grade 9 students of Heto Secondary School at Hosanna Town, 232, south-west of Addis Ababa. Methodology. For this quasi-experimental study, two parallel home-made tests, a pre-test and a post-test administered before and after the intervention, respectively, and a metacognitive reading strategy awareness questionnaire were used. Data were gathered from 100 participants of experimental and control groups, 50 students from each group, before and after 14 hours strategy training within 12 weeks. SPSS, version 25, was used to analyse data. Independent Samples Test to compare groups, and Paired Samples Test to compare variables/scores of the groups were employed during analysis. Results. The results showed a statistically significant difference between the pre-test and the post-test scores of reading performance (p=.000) of each group. However, the Experimental Group made an increment in reading performance, whereas the Control Group made the opposite, a decrement in reading performance. The relationship of both groups was strong and positive. However, neither group showed significant changes in metacognitive reading strategy awareness. Conclusion. The study concluded that explicit cognitive reading strategy instruction empowered students to outperform reading comprehension and vice versa, though it did not change students’ strategy awareness. This implies that concerned bodies should give due attention to enhancing the explicit approach to cognitive reading strategy teaching.

When does metacognition evolve in the opt-out paradigm?

Metacognition (awareness of one's own knowledge) is taken for granted in humans, but its evolution in non-human animals is not well understood. While there is experimental evidence of seemingly metacognitive judgements across species, studies rarely focus on why metacognition may have evolved. To address this, I present an evolutionary model of the opt-out paradigm, a common experiment used to assess animal's metacognition. Individuals are repeatedly presented with a task or problem and must decide between opting-out and receiving a fixed payoff or opting-in and receiving a larger reward if they successfully solve the task. Two evolving traits - bias and metacognition - jointly determine whether individuals opt-in. The task's reward, the mean probability of success and the variability in success across trials, and the cost of metacognition were varied. Results identify two scenarios where metacognition evolves: (1) environments where success variability is high; and (2) environments where mean success is low, but rewards are high. Overall, the results support predictions implicating uncertainty in the evolution of metacognition but suggest metacognition may also evolve in conditions where metacognition can be used to identify cases where an otherwise inaccessible high payoff is easy to acquire.

Unskilled and unaware? Differences in metacognitive awareness between high and low-ability students in STEM

IntroductionMetacognition, or the ability to monitor and control one's cognitive processes, is critical for learning in self-regulated contexts, particularly in introductory STEM courses. The ability to accurately make predictions about one's ability and performance can determine the effectiveness in which students effectively prepare for exams and employ good study strategies. The Dunning-Kruger pattern, where low-performing individuals are more overconfident and less accurate at the ability to predict their performance than high-performing individuals, is robustly found in studies examining metacognitive monitoring. The extent to which the Dunning-Kruger pattern can be explained by the lack of metacognitive awareness is not yet established in the literature. In other words, it is unclear from prior work whether low-performing students are “unskilled and unaware” or simply “unskilled but subjectively aware.” In addition, arguments about whether this pattern is a psychological phenomenon or a statistical artifact of the measurement of metacognition can be found in the literature.MethodsStudents enrolled in three different physics courses made predictions about their exam scores immediately before and after taking each of the three exams in the course. Student predictions were compared to their exam scores to exam metacognitive accuracy. A new method for examining the cause of the Dunning-Kruger effect was tested by examining how students adjust their metacognitive predictions after taking exams.ResultsIn all contexts low-performing students were more overconfident and less accurate at making metacognitive predictions than high-performing students. In addition, these students were less able to efficiently adjust their metacognitive predictions after taking an exam.DiscussionThe results of the study provide evidence for the Dunning-Kruger effect being a psychological phenomenon. In addition, findings from this study align with the position that the skills needed to accurately monitor one's performance are the same as those needed for accurate performance in the first place, thus providing support for the “unskilled and unaware” hypothesis.

Using a metacognitive awareness approach to improve perception of the fundamental biological principle – homeostasis

ABSTRACT This study investigates the process of students’ metacognitive learning about homeostasis, a fundamental biological principle. The research aimed to determine how the metacognitive awareness learning approach (MCLA) affects student perceptions of homeostasis. The research participants were 146 Israeli 10th-grade students (ages 15–16) who were divided into two groups: The MCLA group (MCLAG) (n = 92) received guidance according to the MCLA. The control group (CG) (n = 54) did not receive such guidance. Results disclose the contribution of the MCLA to a better understanding of homeostasis, a fundamental biological principle. Quantitative findings indicate higher achievements by students in the intervention group. Qualitative findings showed differential conceptual understandings regarding homeostasis characteristics, as follows: the MCLA distinctively promoted the following characteristics of homeostasis: efficiency, dynamics of a homeostatic process, and environments. Other characteristics, such as coordination and lack of randomness, control regulation, feedback mechanisms, and multi-systems, were partially promoted by the MCLA. Regarding the energy characteristics, however, the students faced significant challenges in understanding the energy element in the context of homeostasis, indicating a potential for future research. We can deduce that the MCLA can potentially promote the students’ understanding of homeostasis. These results may guide teachers to convey fundamental principles in biology more effectively.

Moving beyond cognition: an exploration into the metacognitive awareness of science teachers on STEM education

Moving beyond cognition: an exploration into the metacognitive awareness of science teachers on STEM education

Strengthening the Culture of Learning Outcome Assessment in LIS Programs through Student Self- Assessments

Self-assessment empowers students to take ownership of their learning by assessing strengths and weaknesses in each area of competence they expect to achieve. This poster will illustrate perspectives gathered from a comprehensive examination and literature review to explore how LIS programs employ self-assessments, empowering students to understand their learning and competencies. Additionally, it aims to determine what lessons LIS programs can learn from other disciplines when creating an effective platform for facilitating student self-assessment. The review revealed that LIS programs use self-assessment tools such as self-reflective essays and journals, often combined with other direct assessment methods. Other professional disciplines, such as Medicine and Engineering, employ technology-based personalized self-assessment tools, aiding students in self-assessing at different program milestones. However, literature and best practices emphasize that self-assessment should not be individualistic but should be collaborative, involving peers and instructors. In addition to self-assessment methods, the review highlighted the importance of metacognitive awareness to ensure the accuracy of self-assessments and help students become more mindful of their learning. Many professional programs support students by facilitating rubric-guided judgments, self-rating, self-efficacy inventories, and metacognitive awareness inventories. LIS programs can adopt best practices from other disciplines to enhance the effectiveness and accuracy of student self-assessment practices.

Determining the Influence of Digital Literacy on Learning Personal Competence: The Moderating Role of Fear of Missing Out

&lt;p style="text-align:justify"&gt;&lt;span style="font-size:9.0pt"&gt;One of the ways to enhance and improve the quality of learning delivery is through the use of technology, particularly the Internet, which facilitates faster and easier access to information. This research aims to explore the degree to which factors such as digital literacy, metacognitive awareness, meaningful learning, habits of using smartphones, and personal learning competence are related to one another. Both the relationship between metacognitive awareness and personal learning competence, as well as the relationship between smartphone habits and personal learning competence, are moderated by a moderating variable known as the fear of missing out. Fear of missing out is a moderating variable. Structural equation modeling, specifically partial least squares, was employed to analyze data from 597 engineering students. SmartPLS version 4 was the tool used for this analysis. The study found that the moderating variable, fear of missing out, significantly impacts metacognitive awareness, learning personal competence, and smartphone habits, making it a crucial factor to investigate. This result is significant because it is a variable that influences the learning that students go through for their education and because it is an extremely important thing to investigate.&lt;/span&gt;&lt;/p&gt;