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This study aims to propose a learning pattern analysis method which can improve a predictive model’s performance, as well as discover hidden insights into micro-level learning pattern. Analyzing student’s learning patterns can help instructors understand how their course design or activities shape learning behaviors; depict students’ beliefs about learning and their motivation; and predict learning performance by analyzing individual students’ learning patterns. Although time-series analysis is one of the most feasible predictive methods for learning pattern analysis, literature-indicated current approaches cannot provide holistic insights about learning patterns for personalized intervention. This study identified at-risk students by micro-level learning pattern analysis and detected pattern types, especially at-risk patterns that existed in the case study. The connections among students’ learning patterns, corresponding self-regulated learning (SRL) strategies and learning performance were finally revealed.

The method used long short-term memory (LSTM)-encoder to process micro-level behavioral patterns for feature extraction and compression, thus the students’ behavior pattern information were saved into encoded series. The encoded time-series data were then used for pattern analysis and performance prediction. Time series clustering were performed to interpret the unique strength of proposed method.

Successful students showed consistent participation levels and balanced behavioral frequency distributions. The successful students also adjusted learning behaviors to meet with course requirements accordingly. The three at-risk patten types showed the low-engagement (R1) the low-interaction (R2) and the non-persistent characteristics (R3). Successful students showed more complete SRL strategies than failed students. Political Science had higher at-risk chances in all three at-risk types. Computer Science, Earth Science and Economics showed higher chances of having R3 students.

The study identified multiple learning patterns which can lead to the at-risk situation. However, more studies are needed to validate whether the same at-risk types can be found in other educational settings. In addition, this case study found the distributions of at-risk types were vary in different subjects. The relationship between subjects and at-risk types is worth further investigation.

This study found the proposed method can effectively extract micro-level behavioral information to generate better prediction outcomes and depict student’s SRL learning strategies in online learning. The authors confirm that the research in their work is original, and that all the data given in the paper are real and authentic. The study has not been submitted to peer review and not has been accepted for publishing in another journal.

For studies in educational data mining or learning Analytics, the prediction of student’s performance or early warning is one of the most popular research topics. However, research gaps indicate a paucity of research using machine learning and deep learning (DL) models in predictive analytics that include both behaviors and text analysis.

This study combined behavioral data and discussion board content to construct early warning models with machine learning and DL algorithms. In total, 680 course sections, 12,869 students and 14,951,368 logs were collected from a K-12 virtual school in the USA. Three rounds of experiments were conducted to demonstrate the effectiveness of the proposed approach.

The DL model performed better than machine learning models and was able to capture 51% of at-risk students in the eighth week with 86.8% overall accuracy. The combination of behavioral and textual data further improved the model’s performance in both recall and accuracy rates. The total word count is a more general indicator than the textual content feature. Successful students showed more words in analytic, and at-risk students showed more words in authentic when text was imported into a linguistic function word analysis tool. The balanced threshold was 0.315, which can capture up to 59% of at-risk students.

The results of this exploratory study indicate that the use of student behaviors and text in a DL approach may improve the predictive power of identifying at-risk learners early enough in the learning process to allow for interventions that can change the course of their trajectory.

Seeks to reflect on the way that truths about commerce and labour have been captured in seemingly “innocent” rhymes.

Fictional prose.

The piece contemplates the trap into which a tradesman might fall when at the mercy of fluctuating demand and tempted to give up his tools. Alternative means of income are weighed up and a moral about managing money is suggested.

Encourages further consideration of the way that common rhymes represent the economic and social truth of their times.

A creative representation of the origins of popular verses that deal with working lives of the past.

This practice paper describes how leadership education faculty and students at Virginia Tech have facilitated change through the use of appreciative inquiry (Ai) at the departmental level, program level, and project level. Appreciative inquiry has been found to be a useful tool for leadership educators, as its foundation in social constructionist philosophy aligns with contemporary leadership and learning theories. This paper outlines (a) the philosophy of Ai as it applies to organizational development (b) illustrates Ai practices associated with a five-stage model, and (c) highlights three examples that can be used as models for leading change in a variety of organizational situations. The authors suggest that leadership educators are uniquely positioned to serve academic communities as facilitators of change by bridging theory and practice in pursuit of new ways of knowing and working together.

Meat substitutes can be environmentally more sustainable alternatives to meat. However, the image of these products in The Netherlands is still low. The purpose of this paper is to explore consumers' experiences and sensory expectations of meat substitutes and the appropriateness of the use of meat substitutes in meals.

In total, 46 consumers took part in seven focus group discussions. These discussions consisted of three steps, starting with a general discussion on meat substitutes, followed by a discussion on the appropriateness of the use of meat substitutes as ingredients (minced, in pieces or slices) by using photographs of six different dishes (soup, pasta, rice, wrap, meal salad, and pizza). The discussions were concluded with a taste session of two dishes with meat substitutes.

Consumers in this study regarded health aspects and easy preparation as positive aspects of meat substitutes. Lack of information on the package, and high price were reported as negative. Sensory aspects such as neutral taste or tastiness, crispiness, chicken‐like texture, or granular texture were seen as positive attributes. Negative sensory aspects that were mentioned were uniform taste, compactness, dryness and softness. Most consumers found the use of meat substitutes appropriate in the dishes we presented.

The paper's findings can, together with quantitative consumer and sensory research, be a start towards consumer‐oriented product development of environmentally more sustainable meat substitutes. The central role of meal context and appropriateness is an aspect that has not yet received much attention in food science.

The purpose of this paper is to explore the field of accounting as a nexus between the rise of industrial societies, strategies of elites to preserve and reproduce privilege, practices of state control and the external forces of colonisation and globalisation. The authors explore this field in the context of Cambodia which embodies a particularly diverse range of internal and external influences.

A qualitative research approach is employed. The research methods were an analysis of secondary sources and interviews with key officials former Head of State and academics. An effort was made to interview Khmer Rouge survivors about the nature of the accounting practices, class and state control.

During the pre-colonial and the period of French colonial influence, there was relatively accounting practice or distinctive professional bodies. Under the Khmer Rouge there was both a clear rejection of individuals with accounting skills while there were some attempts to use of elements of accounting as tools of central control. This use of accounting as a tool of control was further normalised under Vietnamese rule and socialism. Following the restoration of independence there was some French influence on the growth of institutional and practices of accounting. However, these institutions and practices have been modified and refined by recent growth of international accounting firms and the Association of Chartered Certified Accountants.

This paper has significant implications for understanding the nature and development of the accounting in developing countries, recognising both national and internal influences.

This paper has practical implications for understanding the nature and changes associated with the accounting profession in a global context.

This paper adds new literature on accounting which recognises the nexus of interests, practices and institutions associated with the field of accounting.

This study aims to fill a distinct gap in the literature on disability-assistance animals (disability-AAs) and inclusive employment by investigating human resource (HR) practitioners’ perceptions of disability-AAs in the staffing process and workplace. HR practitioners play a critical role in accommodation and inclusion, yet their experiences and insights have been largely ignored in prior research.

This study used a phenomenological approach, drawing on signaling theory and employability constructs, to explore insights from 17 HR practitioners’ experiences with assistance animals in the workplace.

The potential for unconscious bias in employment practices was found, as well as a significant percentage of practitioners who were unprepared to handle animal accommodations. First, the potential development of a positive stereotype bias suggests all genuine assistance animals are high functioning. Second, the assumption that employees’ assistance animal requests for invisible disabilities without previous disclosure are presumed fraudulent until proven valid.

As a qualitative study, findings from this study are not generalizable to a larger population but may be transferable to similar employment contexts.

This study extends knowledge from previous studies, which focused predominately on insights from disabled individuals, animal trainers and therapists, to the HR practitioner domain in creating a more inclusive work environment. Findings from this study suggest the need to improve education about disability-AAs and the potential for unconscious bias for HR practitioners and hiring managers when accommodating requests, particularly when those assistance animals are not described as high functioning.

This paper explores accounting presences and absences in the daily life of three Bangladeshi small traders. By exploring the margins of accounting it is possible to better understand why we do and do not do accounting. Two different ideas are explored. Based on the work of Boden it is suggested that the presence or absence of accounting can be explained by the influence of key social and state institutions. Some support was found for this idea, as there was no “external” demand for accounting. The second factor that was explored was the idea that the presence or absence of accounting could be explained by literacy. Again, there was some support for this as two of the cases studied started to keep debtors records once they learnt to read and write. However, we suggest that levels of social capital, defined as norms of reciprocity and trust, could also play an important role in understanding accounting absence in this case, an idea which might be applicable to a wider context.

The estimation of the coliform content is the usual complement to the bacterial count. The value of the coliform examination in the bacteriological analysis of water is well attested by years of experience but the fundamental assumptions on which its interpretation is based do not hold true for milk. The estimation of the coliform organisms in milk is a presumptive and not a positive test. These organisms are not usually found in the udder but are often present in the fore‐milk. They are, however, constantly present in the excrement and on dirty, inefficiently cleansed and sterilised utensils.