Aim/Purpose: The aim of this project was to explore student perceptions of the value of both the creation of video content and exposure to other students’ work though peer assessment and inclusion of exemplars as unit material. Background: The research was in a first year information technology flipped-learning unit, where the assessment involved students developing video presentations that were peer assessed and exemplars incorporated into the unit as teaching material. Methodology: Data was gathered using a mixed methods approach using an online questionnaire followed by semi-structured interviews with a selection of questionnaire respondents. The interviews were designed to further explore issues identified from the analysis of the questionnaire data. Contribution: Informs on student perceptions of peer review and the integration of student generated content into University teaching. Findings: Most students enjoyed the video assessment (58%) with many preferring it to a written or programming task (55-58%). In the subsequent peer assessment, many liked seeing the work of others (67%) and found the approach engaging (63%) yet some other perceptions were mixed or neutral. Recommendations for Practitioners: University IT students generally enjoyed and perceived peer assessment and found student generated content to be valuable. Recommendation for Researchers: Further investigation of peer review and student generated content in contexts where the student cohort represents a variety of cultures and age categories Impact on Society: Contributes to a body of knowledge regarding peer assessment and student generated educational materials. Future Research: Future work is needed to better understand this domain, in particular the role of learners’ individual differences in order to successfully integrate these approaches into modern learning environments.

Aim/Purpose: Providing both formative and summative assessment that allows students to learn from their mistakes is difficult in large classes. This paper describes an automated assessment system suitable for courses with even 100 or more students. Background: Assessment is a vital part of any course of study. Ideally students should be given formative assessment with feedback during the course so students and tutors can identify weaknesses and focus on what needs improvement before summative assessment, which results in a grade. This paper describes and automated assessment system that lessens the burden of providing formative assessment in large classes. Methodology: We used Checkpoint, a web-based automated assessment system, to grade assignments in a number of different computer science courses. Contribution: The students come from diverse backgrounds, with a wide range of ages, previous qualifications and technical skills, and our approach allows the students to work at their own pace according to their individual needs, submitting their solutions as many times as they wish up to a deadline, using feedback provided by the system to help identify and correct their mistakes before trying again. Findings: Use of automated assessment allows us to achieve the goals of both summative and formative assessment: we allow students to learn from their mistakes without incurring a penalty, while at the same time awarding them a grade to validate their efforts. The students have an overwhelmingly positive view about our use of automated assessment, and their comments support our views on the assessment process. Recommendations for Practitioners: Because of the increasing number of students in today’s courses, we recommend using automated assessment wherever possible.

Return on Investment (ROI) is one of the most popular performance measurement and evaluation metrics. ROI analysis (when applied correctly) is a powerful tool in comparing solutions and making informed decisions on the acquisitions of information systems. The purpose of this study is to provide a systematic research of the accuracy of the ROI evaluations in the context of information systems implementations. Measurements theory and error analysis, specifically propagation of uncertainties methods, were used to derive analytical expressions for ROI errors. Monte Carlo simulation methodology was used to design and deliver a quantitative experiment to model costs and returns estimating errors and calculate ROI accuracies. Spreadsheet simulation (Microsoft Excel spreadsheets enhanced with Visual Basic for Applications) was used to implement Monte Carlo simulations. The main contribution of the study is that this is the first systematic effort to evaluate ROI accuracy. Analytical expressions have been derived for estimating errors of the ROI evaluations. Results of the Monte Carlo simulation will help practitioners in making informed decisions based on explicitly stated factors influencing the ROI uncertainties.

Aim/Purpose: This paper presents a study of Virtual Communities of Practice (VCoP) evaluation methods that aims to identify their current status and impact on knowledge sharing. The purposes of the study are as follows: (i) to identify trends and research gaps in VCoP evaluation methods; and, (ii) to assist researchers to position new research activities in this domain. Background: VCoP have become a popular knowledge sharing mechanism for both individuals and organizations. Their evaluation process is complex; however, it is recognized as an essential means to provide evidences of community effectiveness. Moreover, VCoP have introduced additional features to face to face Communities of Practice (CoP) that need to be taken into account in evaluation processes, such as geographical dispersion. The fact that VCoP rely on Information and Communication Technologies (ICT) to execute their practices as well as storing artifacts virtually makes more consistent data analysis possible; thus, the evaluation process can apply automatic data gathering and analysis. Methodology: A systematic mapping study, based on five research questions, was carried out in order to analyze existing studies about VCoP evaluation methods and frameworks. The mapping included searching five research databases resulting in the selection of 1,417 papers over which a formal analysis process was applied. This process led to the preliminary selection of 39 primary studies for complete reading. After reading them, we select 28 relevant primary studies from which data was extracted and synthesized to answer the proposed research questions. Contribution: The authors of the primary studies analyzed along this systematic mapping propose a set of methods and strategies for evaluating VCoP, such as frameworks, processes and maturity models. Our main contribution is the identification of some research gaps present in the body of studies, in order to stimulate projects that can improve VCoP evaluation methods and support its important role in social learning. Findings: The systematic mapping led to the conclusion that most of the approaches for VCoP evaluation do not consider the combination of data structured and unstructured metrics. In addition, there is a lack of guidelines to support community operators’ actions based on evaluation metrics.

Aim/Purpose: This paper aims to empirically quantify the financial distress caused by the COVID-19 pandemic on companies listed on Amman Stock Exchange (ASE). The paper also aims to identify the most important predictors of financial distress pre- and mid-pandemic. Background: The COVID-19 pandemic has had a huge toll, not only on human lives but also on many businesses. This provided the impetus to assess the impact of the pandemic on the financial status of Jordanian companies. Methodology: The initial sample comprised 165 companies, which was cleansed and reduced to 84 companies as per data availability. Financial data pertaining to the 84 companies were collected over a two-year period, 2019 and 2020, to empirically quantify the impact of the pandemic on companies in the dataset. Two approaches were employed. The first approach involved using Multiple Discriminant Analysis (MDA) based on Altman’s (1968) model to obtain the Z-score of each company over the investigation period. The second approach involved developing models using Artificial Neural Networks (ANNs) with 15 standard financial ratios to find out the most important variables in predicting financial distress and create an accurate Financial Distress Prediction (FDP) model. Contribution: This research contributes by providing a better understanding of how financial distress predictors perform during dynamic and risky times. The research confirmed that in spite of the negative impact of COVID-19 on the financial health of companies, the main predictors of financial distress remained relatively steadfast. This indicates that standard financial distress predictors can be regarded as being impervious to extraneous financial and/or health calamities. Findings: Results using MDA indicated that more than 63% of companies in the dataset have a lower Z-score in 2020 when compared to 2019. There was also an 8% increase in distressed companies in 2020, and around 6% of companies came to be no longer healthy. As for the models built using ANNs, results show that the most important variable in predicting financial distress is the Return on Capital. The predictive accuracy for the 2019 and 2020 models measured using the area under the Receiver Operating Characteristic (ROC) graph was 87.5% and 97.6%, respectively. Recommendations for Practitioners: Decision makers and top management are encouraged to focus on the identified highly liquid ratios to make thoughtful decisions and initiate preemptive actions to avoid organizational failure. Recommendation for Researchers: This research can be considered a stepping stone to investigating the impact of COVID-19 on the financial status of companies. Researchers are recommended to replicate the methods used in this research across various business sectors to understand the financial dynamics of companies during uncertain times. Impact on Society: Stakeholders in Jordanian-listed companies should concentrate on the list of most important predictors of financial distress as presented in this study. Future Research: Future research may focus on expanding the scope of this study by including other geographical locations to check for the generalisability of the results. Future research may also include post-COVID-19 data to check for changes in results.

As a result of the rapid development of Information and Communication Technology (ICT) and the growing interest in Internet-based tools for language classroom, it has become a pressing need for educators to locate, evaluate and select the most appropriate language-learning digital resources that foster more communicative and meaningful learning processes. Hence, this paper describes a mixed research project that, on the first hand, aimed at proposing a Checklist for evaluating language websites built on the principles of the Communicative Approach, and on the second hand, sought to strengthen the teachers’ Knowing-how-to-do skill as part of their digital competence. To achieve these goals, a four-phase research procedure was followed that included reviewing relevant literature and administering qualitative and quantitative research methods to participants (i.e., language teachers, an expert in the Computer-Assisted Language Learning (CALL) field and a college professor) in order to gain insights into problematic issues and, thereafter, to contribute to the creation and validation of the Checklist model and the Study Guide. The findings revealed that: (a) evaluating language websites leads to the enhancement of the teachers’ practical skills and their knowledge of the technological language; and (b) having an assessment instrument allows educators to choose the materials that best meet their communicative teaching purposes.

Aim/Purpose: As online video lectures rapidly gain popularity in formal and informal learning environments, one of their main challenges is student retention. This study investigates the influence of adding interactivity to online video lectures on students’ attention span. Background: Interactivity is perceived as increasing the attention span of learners and improving the quality of learning. However, interactivity may be regarded as an interruption, which distracts students. Furthermore, adding interactive elements to online video lectures requires additional investment of various resources. Therefore, it is important to investigate the impact of adding interactivity to online video lectures on the attention span of learners. Methodology: This study employed a learning analytics approach, obtained data from Google Analytics, and analyzed data of two Massive Open Online Courses (MOOCs) that were developed by the Open University of Israel in order to make English for academic purposes (EAP) courses freely accessible. Contribution: The paper provides important insights, based on quantitative empirical research, on: integrating interactive elements in online videos; the impact of video length; and differences between two groups of advanced and basic learners. Furthermore, it demonstrates how learning analytics may be used for improving instructional design. Findings: The findings suggest that interactivity may increase the attention span of learners, as measured by the average online video lecture viewing completion percentage, before and after the addition of interactivity. However, when the lecture is longer than about 15 minutes, the completion percentages decrease, even after adding interactive elements. Recommendations for Practitioners: Adding interactivity to online video lectures and controlling their length is expected to increase the attention span of learners. Recommendation for Researchers: Learning analytics is a powerful quantitative methodology for identifying ways to improve learning processes. Impact on Society: Providing practical insights on mechanisms for increasing the attention span of learners is expected to improve social inclusion. Future Research: Discovering further best practices to improve the effectiveness of online video lectures for diverse learners.

The all-pervasive Internet has created serious problems, such as Internet overuse, which has triggered considerable debate over its relationship with addiction. To further explore its genetic susceptibilities and alternative explanations for Internet overuse, we proposed and evaluated four hypotheses, each based on existing knowledge of the biological bases of addiction, inattention, novelty-seeking, and harm-avoidance. Four genetic loci including DRD4 VNTR, DRD2 Taq1A, COMT Val158Met and 5-HTTLPR length polymorphisms were screened from seventy-three individuals. Our results showed that the DRD4 4R/4R individuals scored significantly higher than the 2R or 7R carriers in Internet Addiction Test (IAT). The 5-HTTLPR short/short males scored significantly higher in IAT than the long variant carriers. Bayesian analysis showed the most compatible hypothesis with the observed genetic results was based on attention (69.8%), whereas hypotheses based harm-avoidance (21.6%), novelty-seeking (7.8%) and addiction (0.9%) received little support. Our study suggests that carriers of alleles (DRD4 2R and 7R, 5-HTTLPR long) associated with inattentiveness are more likely to experience disrupted patterns and reduced durations of Internet use, protecting them from Internet overuse. Furthermore, our study suggests that Internet overuse should be categorized differently from addiction due to the lack of shared genetic contributions.

Data envelopment analysis (DEA) is widely used in various fields and for various models. Inverted data envelopment analysis (inverted DEA) is an extended model of DEA. Regression analysis (RA) is a statistical process for estimating the relationships among variables based on the model of averaged image. There are no essential relations among DEA and RA and inverted DEA. We creatively combine DEA, RA and inverted DEA to propose a new model: DEA-RA-Inverted DEA model. The model realises the efficiency estimation and evaluation through a discussion of the residual variables and the residual ratio coefficients. In addition, we will demonstrate the effectiveness of the model by applying it to efficiency estimation and evaluation of 16 Chinese logistics enterprises.

This article examines the conditions under which organizations publicly respond to unfavorable consumer evaluations that challenge their market identity. Because organizations' market identities are certified by expert evaluations, consumers' devaluations that challenge these expert evaluations represent an identity threat. However, organizations do not always react to consumers' devaluations because of the risks associated to public responses. Hence, we first predict that organizations are more likely to respond to severe devaluations than to weaker ones; second, we propose that organizations, when faced with severe devaluations, are more likely to craft responses that justify their actions and behaviors. We further contend that, for any market identity under consideration, an organization's reputation amplifies these relationships. Analyses of a dataset of London hoteliers' responses to online reviews posted on TripAdvisor during the period 2002-2012 lend substantial support to our hypotheses.

Studies suggest that category-spanning organizations receive lower evaluation and perform worse than organizations focused on a single category. We propose that (1) these effects are contingent on clients' theory of value and that as clients expect more sophisticated services, they tend to value category spanners more positively and (2) the evaluation of producers mediates the relationship between category spanning and performance. We test our hypotheses using original data on corporate legal services in three markets (London, New York City, and Paris) over the decade 2000-2010. We find that (1) category spanners receive a better evaluation, and more so when their categorical combination is more inclusive and (2) evaluation mediates significantly the relationship between category spanning and performance. This study enriches our understanding of how audiences apprehend a whole market category system and why organizations span categories.

Spain's Civil Protection Agency sent a mass alert to phones warning of an "extreme risk of rainfall".

MALAYSIAN consumer associations have been around since the 1960s. However, today we have few that are active and serve consumer interest.

They should continue to fight for consumer rights nationwide and address issues that require better consumer education, stronger laws and enhanced regulatory frameworks, especially in commerce.

Many of these associations face several challenges when it comes to consumer protection, despite existing legal frameworks such as the Consumer Protection Act 1999. The main issues stem from a combination of factors, including:

Limited awareness: Many consumers are not fully aware of their rights under consumer protection laws. This lack of awareness leads to consumers not filing complaints or pursuing justice when their rights are violated.

Weak enforcement: While there are laws in place, the enforcement of these laws can be inconsistent. Regulatory agencies sometimes lack the resources or the will to take effective action against businesses that violate consumer rights.

Online transactions: With the rise of e-commerce, there have been increasing complaints about fraud, counterfeit goods and scams. Consumer protection laws are still catching up to fully address issues arising from online transactions, leaving many consumers vulnerable.

Delayed resolutions: Consumers often face long wait-times when filing complaints or seeking compensation. Dispute resolution mechanisms can be slow, which discourages consumers from pursuing complaints.

Misleading advertisements: There have been cases of misleading or false advertising where consumers end up buying products or services that do not meet expectations. The penalties for businesses engaging in such practices are not always strong enough to act as a deterrent.

Price gouging: In certain industries, especially during times of crisis, for example, the Covid-19 pandemic, price gouging can be a significant issue, with some businesses exploiting consumers by drastically raising prices on essential goods.

The government also has a duty to see that consumer associations function as they should and continue to stay active, and that they are fully supported.

Consumers should take action to defend their rights and ensure they are not violated while pursuing consumer protection.

Bulbir is a former president of the Negeri Sembilan Consumers Association. Comments: letters@thesundaily.com

PUTRAJAYA: Active collaboration from industry players is needed for the Technical and Vocational Education and Training (TVET) institution to offer programmes that are of a higher quality and more relevant to market needs.

Deputy Prime Minister Datuk Seri Fadillah Yusof said strong cooperation between the industry players and the TVET institution was crucial to ensure the comprehensive matching of demand and supply.

He said consistent input from the industry players on the workforce skills and needs was also needed by the TVET institution to develop suitable curricula and programmes.

“Forging close cooperation with industry players can create a new skilled workforce to master the latest technology, which will have a spillover effect on encouraging economic growth.

“I call for the active involvement of industry players in Malaysia to collaborate with the government in supporting the agenda to empower TVET,” he said at the 2024 Prime Minister’s Gold Hand Award and Skilled Person Award ceremony here today.

Meanwhile, Fadillah said the government is aware that the TVET stream in Malaysia needs to be improved for it to be more systematic and effective.

He said the organisation of skills competitions was one of the government’s efforts to promote and ensure the quality of delivery of TVET training in Malaysia is in line with international standards.

“I call on all TVET agencies to hold skills competitions at institutional levels so that we can pick the best talent for national and international-level competitions,” he said.

In his speech, Fadillah also thanked and congratulated the national contingent which made sure the Jalur Gemilang was hoisted proudly at the WorldSkills Competition Lyon 2024 at the Euroexpo Lyon in France from Sept 10-15.

In the competition, Malaysia, represented by 15 participants across 14 categories, captured five medals - one bronze medal in the Beauty Therapy category through Wong Hsun Wei and four Medallion for Excellence.

The four Medallion for Excellence recipients were Muhammad Nasran Ahmad in the Hairdressing category; Ahmad Muizuddin Mohd Razi in the Bricklaying category; Muhammad Hakimi Abu Bakar in Electrical Installations; and Stephen Sim Shan Siong in the IT Software Solutions for Business category.

Megan wrote on Instagram, “NEVA PLAY WITH RM OUT FRIDAY HOTTIES X ARMY #MEGJOON.”

Chris Evans 'excited' to start family with wife Alba Baptista

Chris Evans has expressed his desire to start a family with his wife, Alba Baptista.

During an interview with Access Hollywood, the 43-year-old actor was asked if he'll become a "superhero" dad one day, like his Red One...

A representational image shows an illustration of the WhatsApp logo. — Unsplash

WhatsApp is set to revamp its feature for muting notifications from group chats in an upcoming update, making it simpler for users to better understand how this feature works.

cna

Evangelism Now-Reaching Without Preaching covers the common difficulties many Christians experience and offers natural outreach solutions. Learn to be a witness and share faith in Jesus without seeming to judge or confront.

EU BON site data management workshop and Memorandum of Understanding

A joint workshop of the Sierra Nevada LTER site and EU BON was held on 29-31 January 2014 in Granada, Spain and was hosted by the University of Granada. The aim of this meeting was to bring together the Spanish members of the Sierra Nevada LTER site and test site partners from EU BON (WP1, WP2 and WP5) to discuss and develop a closer relationship in exchanging datasets and experiences in site management, long-term monitoring activities and technical requirements for data management.

During the first day of the workshop, 19 participants from EU BON, the Sierra Nevada LTER site (e.g. Regino Zamora Rodriguez and Francisco Bonet) and guests from the remote sensing EU project BIO_SOS and GBIF Spain gave an overview of their activities to obtain information on their projects and to point out likely synergies and linkages. First, the Sierra Nevada LTER site was introduced, particularly the methodologies to monitor and evaluate biodiversity and the structure of the information system Linaria was shown. Thereafter EU BON testing sites (Doñana, Rhine-Main, Amvrakikos) outlined their current activities regarding data collection, data processing and data integration, in addition to that the results of a recently conducted gap analysis of the test sites were presented. In the afternoon session of the meeting, the planned information architecture of EU BON was explained and ways outlined of how biodiversity data could be integrated.

At the second day, the participants visited a highly monitored area located in the southern part of Sierra Nevada (Alpujarras) that is covered mainly by Quercus pyrenaica forests. The field trip included stops at a meteorological station, a traditional hydrological system was visited to show former human impact in the area and the functionality of a field NDVI camera was shown. This site-trip was also used to officially hand-over the Memorandum of Understanding, signed between the University of Granada and EU BON, to strengthen the cooperation between the Sierra Nevada LTER and the EU BON test sites. Anke Hoffmann on behalf of EU BON handed the MoU to Professor Regino Zamora Rodriguez, the scientific coordinator of the Sierra Nevada Global Change Observatory. The University of Granada is now a new associate partner of EU BON, a consortium with currently 30 partners from 18 countries.

At the last day local scientists gave an overview of the research conducted in Sierra Nevada. After that session, the workshop aimed to discuss the functionality of the envisaged MetaCat (dataprovider for Metadata) approach for the EU BON test sites and the advantages of self-developed information system Linaria of the Sierra Nevada LTER site.

EU BON will further intensify the dialogue with the University of Granada and the Sierra Nevada LTER site. It is scheduled to have a further meeting at the upcoming General Meeting of EU BON (Greece, 30 March-2 April 2014) to strengthen the partnership with the LTER test site.

For further questions please contact Anke Hoffmann or Florian Wetzel

Presentations from the meeting:

Day 1

1. Zamora - Ramos - Sierra Nevada global change obs
2. Bonet - The Linaria information system
3. Hoffmann - Häuser - Introduction to EU BON
4. Juan Negro  - CSIC-EBD
4. Juan Negro Donana 2
4. Juan Negro Donana 3
5. Stoll - test site Rhein - Main
6. Dailianis - test site Amvrakikos
7. Wetzel - Gap analysis
8. Palma Blonda - BIO_SOS and remote sensing
9. Pando - EU BON GBIF Granada 2014
10. Kunin- EU BON Work package 3

Day 3

1. Megia - Mendenez - Climate Change andd elevational range shifts
2. Gomez - Hybridization
3. Villar - Argaiz  Long time series in high mountain lakes
4. Moreno - Vegetation changes during Holocene

Workshop Agenda

Workshop Minutes

Workshop Photos (Google+ | Facebook)