Learning Literature Research Articles

Learning Dayak Literature through Information Systems

This study aims to analyze old poetry (mantras) as part of learning literature during the Corona pandemic that is currently hitting Indonesia. Also, this study revitalizes culture by creating an information system application. This study used descriptive qualitative. There were 16 participants, consisting of the village community of Ranyai, cultures, traditional stakeholders, and village heads. This method provided an overview and described the research results on literary culture and an analysis of the structure of prayer/mantra in the Gawai Dayak tradition and its revitalization efforts. The results showed that the structure of the text in the form of mantra utterances was based on the analysis of syntax, rhyme, and rhythm. The context of the Gawai Dayak tradition consists of cultural, situational, social, and ideological contexts. The context of the Gawai Dayak tradition consisted of motion, proxemic, paralinguistic, and material contexts. The design of an information system on Dayak literature could help realize the revitalization of cultural traditions and teaching and learning processes in a directed, effective, and consistent manner during the Corona pandemic. The implication for further research was the opening of further research developments, such as looking for values from tradition. Learning that used information systems was also still wide open to be developed with other more complete applications and under the times.

Students’ Perceptions of Literary Texts, Challenges in Learning, and Learning Strategies

Students’ perceptions are very crucial for improving the quality of teaching and learning. However, the study of students’ perceptions of learning literature is very limited. Therefore, this study aims to explore EFL students’ perceptions of literary texts, challenges in learning literature, and out-of-class learning strategies. The study applied the descriptive quantitative method. The stratified random sampling technique was also employed. The samples (n = 122) were the EFL students at the National University of Battambang. The online survey questionnaire was used as the research instrument with the Likert scale of four choices (strongly disagree, disagree, agree, and strongly agree). The data was analyzed automatically by Google Forms. Three main results were revealed. First, the majority of students have positive perceptions of the literary text used in their class (76,61%), although some viewed vocabulary and grammatical structures as complicated elements. Second, although most of the students do not face many challenges in learning literature (62,38%), a large number of students believed that text difficulty, workload from other classes, and poor English proficiency cause difficulties for them. Third, despite the majority of students having better learning strategies (72.02%), a specific learning schedule, task completion before class, and learning discussion between peers are the learning activities that the rest of the students failed to implement. In conclusion, the literary texts are appropriate despite a few problematic aspects that might be accordingly adapted. Also, the teachers should pay attention to learners’ challenges and suggest better learning strategies to them.

A Carnegie perspective on intermittent risk taking in entrepreneurship.

Varying risk-taking tendency is an important area of inquiry for the Carnegie perspective. Drawing on organizational learning literature, we develop a model to illuminate the mechanisms that can underlie time-varying risk taking tendency in entrepreneurship. In particular, we delineate conditions under which abrupt risk taking punctuates periods of risk-avoiding behaviors, a pattern that we call "intermittent risk taking." We use serial entrepreneurs whose bouts with risk taking are often depicted as driven by an entrepreneurial itch to illustrate our model. In our conceptualization, decision makers engage in an interplay of experiential and vicarious learning as they move into and out of higher-risk self-employment (i.e., venture creation) with in-between stints in lower-risk wage-employment. Using a computational model to simulate the dynamics of this conceptualization, we find that vicarious learning from satisfied risk-avoiding peers can exert a pull that draws disappointed entrepreneurs into periods of risk avoidance (i.e., wage-employment). However, the moment that the satisfaction of these peers fails to convince, this pull wanes. In effect, the entrepreneur vicariously learns that the grass may not be greener on the other side which then leads them to return into self-employment. The itch for risk taking then recurs not necessarily because risky venture creation offers higher payoffs than risk-avoiding options but because decision makers come to see that risk avoidance may not be a satisfactory alternative either - a conceptualization that adds nuance to prior notions of varying risk tendencies and serial entrepreneurship.

Organizational learning, strategic guanxi networking, co-creation marketing strategy and B2B export performance: evidence from emerging market export venture

PurposeDrawing on the organizational learning and relational governance literature, this study aims to advance a theoretical model to explain the export performance of emerging market export ventures.Design/methodology/approachThis study selects quantitative methodology because the main objective of this study is to explore the role of export ventures’ performance (past) on guanxi networking, co-creation marketing strategies and present performance.FindingsThe empirical evidence suggests that guanxi networking and co-creation strategy can mediate the relationship between export venture performance in the preceding year and export venture performance in the following year. In addition, this study also provides some guidance for emerging market export ventures on how to build a strong guanxi networking and create opportunities for collaboration when the effect of export performance in the preceding year on current performance is absent.Originality/valueThe authors propose the inclusion of strategic guanxi networking-related factors (e.g. top executives’ ties with business-to-business customers, such as distributors in the host market) in the prior performance-current performance paradigm. The outcomes of this study also contribute to extant organizational learning theory research by integrating preceding performance research with the co-creation theory. The study offers new insights into organizational learning and relational governance from the emerging market perspective.

PENERAPAN PENDEKATAN CULTURALLY RESPONSIVE TEACHING (CRT) MELALUI TEKS DRAMA “SULTAN SURIANSYAH”

This study aims to describe the implementation of learning literature to students in class 8C at SMPN 21 Banjarmasin, South Kalimantan, applying the Culturally Responsive Teaching (CRT) approach to the drama text "Sultan Suriansyah". This study uses a qualitative method that produces descriptive data in the form of speech or writing and observes behavior of students. The results showed that learning begins with orientation, apperception, motivation, and giving references. Furthermore, the core activities carried out by educators through the CRT approach are self-identification, culturally understanding, collaboration, critical reflection, and transformative construction. The last part of the learning activities carried out by educators is in the form of reflection and follow-up plans. The assessment carried out is the cognitive assessment of students obtained from assignments in the form of text. Indicators for achieving competency 3.15.1 in the form of analyzing the intrinsic elements of the drama presented have been completed with a percentage of 96.7%. Indicators for achieving competency 3.15.2 in the form of analyzing the interrelationships between elements of the drama presented have been completed with a percentage of 60%. The affective value, in the form of self-confidence shows that the level of self-confidence of students has developed as expected, it is 93.4%. The attitude of responsibility shows that the level of responsibility of 56% of students has developed according to expectations and 43.3% has greatly developed. The attitude of cooperation shows that the level of cooperation of 66.7% of students has developed according to expectations and 33.3% has greatly developed. The psychomotor value, namely the ability to discuss students shows that 63.3% of students have achieved the minimum completeness criterion value. Likewise, the presentation skills of students showing 70% of students have achieved the minimum completeness criterion score of 70.

Learning in unaccredited internship as development of interns’ ‘horizontal expertise’

The rise of internships as a form of work experience that students pursue during their degree or after graduation has been accompanied by an upsurge of discussions, critical and favourable, on the role of internships for interns’ employment opportunities. There is a need, however, to understand the learning that goes in internship as for many students internship is a setting where work practices are encountered for the first time. Recently it has been suggested that unaccredited internship can be seen as constituting a separate work activity that needs to be examined in its own right. The aim of this article is to contribute to this literature by focusing on the learning challenges that arise in unaccredited internship and identifying the capacities that interns develop as a result of tackling these challenges. To that end, I identify a set of analytical concepts from vocational learning literature developed to understand the challenges and opportunities associated with learning across contexts (i.e. education and work): horizontal expertise, boundary-crossing, recontextualisation and identity-renegotiation. Then I analyse data on learning in unaccredited internships collected from five focus groups and two interviews (18 interns). A dialogic discourse analysis of focus group and interview discourses revealed that the interns in unaccredited internship developed an emerging capacity to learn and work competently across multiple contexts and to initiate and coordinate subsequent cycles of boundary-crossing between education and work. The paper proposes the notion of “interns’ horizontal expertise” to describe this emerging capacity that arises from learning in unaccredited internship and continues after the internship and explains how this concept differs from other expressions of horizontal expertise in the literature such as the horizontal expertise of seasoned professionals in inter-professional activities and boundary-crossing in work placements.

2DVLE: a simulation game for an active learning introduction to vapour–liquid equilibrium

ABSTRACT The authors develop an educational simulation game for basic vapour–liquid equilibrium (VLE) to use in chemical engineering education, basing the design on educational guidelines from the active learning literature. The game is tested in three cohorts totalling 84 students, showing significant increase in a knowledge test of VLE, and positive results of student interest when compared to a traditional classroom. A playable version of the game is made available at (psantos.itch.io/charming-vle-prototype), with the game files being placed in (github.com/pSantosb/2DVLE-CHARMING).

Breaking Boundaries; Exploring New Avenues in Teaching and Learning Literature in Digital Age

Literature and Language are the two faces of a coin. Literature could be a academic instrument to learn language. Language comes following to the nourishment. We are so personally recognizable with it that we take it for allowed like we do breathing or strolling. Literature upgrades the development of the dialect. The present article intends to explore the dialect intuitive and classroom talks that take part in ‘Literature circles’. Literature can offer assistance learners to develop their understanding of other cultures, awareness of contrasts and to create the method of learning and understanding in common. Literature is a written literary works, especially those of high and long-lasting artistic worth. Language - A system of communication made up of sounds, words, and grammar, or the system of communication used by a specific country’s people. Language training is one form of effective expression and communication, but the usage of English as a tool of communication has become a critical prerequisite. Most English teachers who choose to teach English do not know how to educate, but happily, there are certain teachers in our country who have revolutionized their classrooms by incorporating Innovations in English Language Teaching. “Change is the law of Nature,” as the phrase goes, and “Change is the Universe’s greatest boon.” We all know that seasons change, habits change, attitudes change, and so on, and that every living thing goes through countless changes from birth to death. So, in light of this, why can’t the educational system evolve with new techniques, skills, and innovations? We, the educators, feel strongly that we are the builders of the next generation and that we can bring innovation to the teaching and learning of literature.

Machine learning and the optimization of prediction-based policies

We present a procedure for the optimal implementation of public policies that involve predicting an individual behavior or characteristic. By linking prediction errors of any given classification model to the resulting social welfare, we provide a simple measure to rank different models and select the optimal one. Such measure is defined as the difference between the social welfare of a given policy and that of an error-free policy, and it is related to the ROC curve employed in the Machine Learning literature. We extend the cost isometrics approach described in the literature by considering the case of heterogeneous costs of type I and II errors. We apply our approach to the prediction of inaccurate tax returns issued by Italian self-employed and sole proprietorships. We show that the approach can result in substantial increases in revenues, and that random forest models, beyond providing comparatively good predictions, yield important insights. In our case, they both provide empirical support for existing theories on tax evasion — highlighting, for instance, cross-sectoral heterogeneity — and extend our understanding of the phenomenon — such as the role of bunching.

Why can’t you be all talk to get things done? Consumer acceptance of voice-assisted products

PurposeVoice assistant technology represents one of the most radical artificial intelligence innovations. Drawing on the processing fluency theory and consumer learning literature, this study aims to explore how consumer acceptance of new products is influenced by voice assistant function (VAF), along with the impacts of role clarity and learning modality.Design/methodology/approachFour between-subjects experimental studies were conducted. Study 1 tested the main effect of VAF on consumer acceptance. Study 2 included role clarity as a mediator between VAF and consumer acceptance. Study 3 examined the moderation effect of learning modality and contrasted the effectiveness of experiential and verbal learning in helping increase consumer acceptance. Study 4, as a post hoc study, tested serial mediations to validate whether processing fluency was indeed the mechanism explaining the indirect relationship between VAF and consumer acceptance via role clarity.FindingsThe negative impact of VAF on consumer acceptance was demonstrated in all four studies. Studies 2 and 3 showed VAF decreased role clarity which further influenced consumer acceptance. Moreover, Study 3 evidenced that experiential learning was more effective than verbal learning in increasing consumer acceptance of voice-assisted products via role clarity. Study 4 demonstrated that VAF decreased role clarity, which in turn decreased processing fluency, leading to lower consumer acceptance.Originality/valueThis research views the usage of voice-assisted products as a coproduction process between consumers and the VAF. Accordingly, findings provide novel insights into processing fluency of tasks assisted by VAF through the lens of role clarity and learning modality, which enriches the understanding of potential barriers and opportunities for consumers to accept voice-assisted products.

Strategies Used in Cultivating Teaching Ability of Master of Education

This research investigates diverse strategies for enhancing teaching capacity in Master of Education (M.Ed.) programs. Expanding across instruction, research, extension, and professional development dimensions, the study unveils multifaceted approaches to equip educators. Instructional strategies encompass extended learning time, skill training, microteaching, literature review, and teaching competitions. In research, independent projects, engagement in mentor research, and participation in academic events foster research and teaching skills. Extension strategies include family tutoring, workshops, social media engagement, and observing expert teaching. Professional development is promoted through continuing education, qualification certification, expert guidance, reflective practices, and instructional design training. The study highlights how these strategies contribute to a comprehensive, adaptable, and skilled teaching workforce. Ultimately, this research aims to serve as a guide for institutions, educators, and policymakers to elevate teaching quality and address the evolving needs of education.

Learning from machines: How negative feedback from machines improves learning between humans

Prior studies on learning from failure primarily focus on how individuals learn from failure feedback given by other individuals. It is unclear whether and how the advent of machine feedback may influence individuals’ learning from failures. We suggest that failure feedback provided by machines facilitates learning in two ways. First, it focuses individuals’ attention on their failures, leading them to learn from these failures. Second, it serves as a catalyzer, motivating individuals to learn more from failure feedback given to them by other individuals as well. In addition, this catalyzing effect is stronger if the failure feedback from machines and by other individuals pertain to related tasks. Using a dataset of 1.5 million observations from an online programming contest community, we find support for our predictions. We contribute to the learning literature by demonstrating both the direct effect and the catalyzing effect of machine failure feedback on individuals’ learning.

Representation of Local Wisdom in the Ancient Indonesian Manuscript as Literature Learning Materials in School

Literature learning is essential in building students' character and increasing their sensitivity. Local wisdom's importance must be instilled within students in learning literature because its existing values are starting to fade and are not in demand by the current generation. This study aimed to investigate the local wisdom in the ancient Indonesian manuscript "Menak Lare 1" and its application as literature teaching and learning materials in schools. The present research employed a descriptive qualitative design. The object of the study was an ancient Indonesian manuscript entitled "Menak Lare 1". It contained stories about Amir Hamzah's struggle to spread Islam. The research data sources were informants and archives or documents. Data analysis in this study incorporated a flow model. The findings revealed that the elements of local wisdom were contained in the "Menak Lare 1" manuscript so that it could be implemented as literature teaching and learning material in school. The results of this research could help preserve local wisdom through the learning process by engaging varied lesson materials.

Monge–Kantorovich optimal transport through constrictions and flow-rate constraints

We consider the problem to transport resources/mass while abiding by constraints on the flow through constrictions along their path between specified terminal distributions. Constrictions, conceptualized as toll stations at specified points, limit the flow-rate across. We quantify flow-rate constraints via a bound on a sought probability density of the times that mass-elements cross toll stations and cast the transportation scheduling in a Kantorovich-type of formalism. Recent work by our team focused on the existence of Monge maps for similarly constrained transport minimizing average kinetic energy. The present formulation in this paper, besides being substantially more general, is cast as a (generalized) multi-marginal transport problem — a problem of considerable interest in modern-day machine learning literature and motivated extensive computational analyses. An enabling feature of our formalism is the representation of an average quadratic cost on the speed of transport as a convex constraint that involves crossing times.

Kesantunan Berbahasa Novel Rindu Karya Tere Liye serta Implikasinya terhadap Pembelajaran Sastra di SMA

Kesantunan Berbahasa Novel Rindu Karya Tere Liye serta Implikasinya terhadap Pembelajaran Sastra di SMA

Open and distance learning: a bibliometric analysis using scopus database and vosviewer

This study presents a bibliometric analysis of open and distance learning (ODL) literature to explore the impact of new technologies, temporal trends in research, and the influence of open pedagogy and educational resources on learner engagement and inclusion. Utilizing Scopus as the primary data source for its comprehensive coverage and analytical capabilities, a dataset was curated using specific keywords and analyzed through VosViewer. The results demonstrate a significant increase in ODL publications, indicative of growing scholarly interest and a diverse, global research community. Key findings reveal a network of influential institutions and scholars central to ODL, with highly cited documents highlighting foundational research and prevalent themes. The analysis underscores the importance of technological, pedagogical, strategic, and evaluative themes, signifying the complex and interdisciplinary nature of ODL. Suggestions for future research include qualitative analyses to understand ODL's progression and longitudinal studies to gauge the influence of global events on ODL practices. Collaborative and cross-disciplinary efforts are encouraged to innovate educational modalities. The study’s implications reflect ODL's growing relevance in educational policy and practice, the influence of key scholars and institutions in shaping ODL discourse, and the strategic research focus that may dictate future educational developments. This analysis charts the trajectory of ODL, contributing to its strategic evolution and enduring relevance in education.

Organisaation oppiminen sosiaali- ja terveydenhuolto-organisaatioissa – Kollektiivinen reflektio käytännön strategiatyössä

Organizational learning in social and healthcare organizations-Collective reflection during strategizing This research explores how collective reflection during strategizing supports organizational learning. Strategizing evolves over time as strategy practitioners interact with each other, use different strategy practices, and gain more experience of their strategy work. However, this learning process and the meaning of collective reflection within it has not been given attention in previous research. The theoretical frame of the study consists of strategy-as-practice (SAP), collective reflection, and organizational learning literature. In particular, the 4I-framework of organizational learning developed by Crossan et. al. (1999) is utilized. The empirical data were collected by a survey. According to the findings of the study, collective reflection during strategizing supports organizational learning, which, during strategizing, proceeds through microprocesses of intuition, interpretation, integration, and institutionalization. Furthermore, the study shows that the 4I model is suitable for scrutinizing organizational learning during strategizing.

Implementation of Character Education Values in Children’s Song Literature in Rokan Hulu, Riau Regency

The background of this research is the younger generation, especially students in this digital era, have been heavily influenced by foreign cultures so that the nation’s character has declined. This needs to get the attention of parents and educators in strengthening the character education values ​​of students. These character education values ​​can also be guided by the values ​​contained in the oral literature of children’s songs. Character education values ​​in children’s songs can be implemented in learning literature at school. This type of research is a literature review, namely the process of placing, obtaining, reading, and evaluating research literature related to the researcher’s interest. The benefit of this research is the implementation of character education values ​​in oral literature of children’s songs. The result of this research is a literature study which obtained 10 articles according to the values ​​of character education in accordance with a review of articles regarding the values ​​of character education. Novelty in this study is the values ​​of character education in children’s songs that are applied in learning literature in junior high schools (SMP).

Detecting and Processing Unsuspected Sensitive Variables for Robust Machine Learning

The problem of algorithmic bias in machine learning has recently gained a lot of attention due to its potentially strong impact on our societies. In much the same manner, algorithmic biases can alter industrial and safety-critical machine learning applications, where high-dimensional inputs are used. This issue has, however, been mostly left out of the spotlight in the machine learning literature. Contrary to societal applications, where a set of potentially sensitive variables, such as gender or race, can be defined by common sense or by regulations to draw attention to potential risks, the sensitive variables are often unsuspected in industrial and safety-critical applications. In addition, these unsuspected sensitive variables may be indirectly represented as a latent feature of the input data. For instance, the predictions of an image classifier may be altered by reconstruction artefacts in a small subset of the training images. This raises serious and well-founded concerns about the commercial deployment of AI-based solutions, especially in a context where new regulations address bias issues in AI. The purpose of our paper is, then, to first give a large overview of recent advances in robust machine learning. Then, we propose a new procedure to detect and to treat such unknown biases. As far as we know, no equivalent procedure has been proposed in the literature so far. The procedure is also generic enough to be used in a wide variety of industrial contexts. Its relevance is demonstrated on a set of satellite images used to train a classifier. In this illustration, our technique detects that a subset of the training images has reconstruction faults, leading to systematic prediction errors that would have been unsuspected using conventional cross-validation techniques.

Development Of Teaching Modules Based On Local Wisdom In Learning Literature Writing For Students In Elementary School Teacher Education Program

Development Of Teaching Modules Based On Local Wisdom In Learning Literature Writing For Students In Elementary School Teacher Education Program