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The article investigates the relationship between online and offline evaluations in search clarification models, emphasizing user engagement as a key metric. Topics discussed include the effectiveness of offline labels in predicting user engagement, the impact of query length on evaluation alignment, and the potential of large language models (LLMs) in enhancing clarification question selection.

Evaluating the credibility of online information, a key component of digital literacy, is challenging for secondary students because they often rely on superficial strategies that do little to help them differentiate between information and disinformation. For example, our research has shown that students are prone to believe sites that appear professional but are in fact of a more nefarious nature (e.g., fake news sites designed to intentionally deceive). For this Description of Classroom Practices report, we describe a series of six lessons that we designed with secondary EAL teachers that help students think critically about online information while supporting their growth as additional language learners. We found that the lessons helped students evaluate the credibility of online sources holistically by evaluating within and across content, source, and context. After reporting the students’ overall positive comments about the materials, we describe their favourite activity in more detail with scaffolding suggestions.

This study investigated how sixth graders' credibility evaluation self-efficacy was associated with their ability to evaluate the credibility of online texts. Students (N = 265, Mage = 12.45) worked in a web-based environment, where they read and evaluated two more credible texts and two less credible texts that required confirming and questioning the texts' credibility, respectively. Students were asked to evaluate the author's expertise, the author's benevolence, and the quality of evidence in each text. They were also asked to assess their credibility evaluation self-efficacy during the task. The structural equation model indicated that students' self-efficacy was positively associated with their ability to confirm the more credible texts but not with their ability to question the less credible texts. The instructional implications of this study are discussed. [ABSTRACT FROM AUTHOR]

Currently, the measurement of guide rail straightness error is basically a direct measurement, which cannot meet the requirements of online straightness error measurement in the machining process of the machine tool. Therefore, this paper proposes a straightness error evaluation model based on the recess pressure, which can realize the online measurement of the straightness error of hydrostatic guideways. To address the nonlinear relationship between the recess pressure and the linear deviation data of the guideway in an experiment, based on deep learning, the hydrostatic guideway straightness error was evaluated. First, the experimental data are analyzed and processed by feature, and a sliding window is processed using the data time sequence. Second, a long short-term memory network model is constructed based on an attention mechanism, the model parameters are obtained through orthogonal experiments, and the theoretical straightness error of the hydrostatic guideway is obtained via training. Finally, the theoretical values and experimental values of straightness error are compared and evaluated with the multilayer perceptron and recurrent neural network models. The results show that the model can effectively evaluate the straightness error of hydrostatic guideways. [ABSTRACT FROM AUTHOR]

This study aims to explore the growth of online evaluation to give a comprehensive overview and identify research in the trending field and recommendations for further research that can be developed. This study used a bibliometric approach with descriptive methods from documents in the last ten years of the Scopus database. Quantitative and qualitative analyses were performed using data collected from numerous scientific reference sources to determine development trends, the most popular subjects, and the contributions of eminent scholars. The analysis’s findings indicated that student evaluations of courses and teachers were the most commonly discussed subjects. However, in subsequent years, interest had changed to e-learning, higher education, assessment, and evaluation. Recent scientific articles further emphasized the significant impact Covid-19 had had on altering the evaluation process, placing particular attention on online learning. With the advancement of research on artificial intelligence in education, this study also outlined prospects and challenges in online evaluation research. We found thirteen publications covering Chat GPT for educational purposes by obtaining data from articles published in the most recent year in the Scopus database. This study offered a comprehensive view of the evolution of online evaluation through a bibliometric method, covered pertinent topics, and provided a basis for academics to carry out the most recent research in this area.

Intelligent tourism can increase the interest of nomadic tourists in discovering new cities. However, many Points of Interest (POIs) are available, creating an information overload for tourists when choosing POIs to visit. For this reason, CARS (Context-Aware Recommendation Systems) can play an important role by exploiting the experiences of previous tourists and their contexts to recommend attractive POIs. Consequently, choosing the right POI recommendation algorithm (RA) for CARS is crucial because it involves the costly intervention of real tourists during the test phase. In order to make this phase more cost-effective, we can test several RAs simultaneously in order to assess their limitations in terms of cold start and tourist satisfaction. To compare these RAs, we propose in this article an approach called SEPRA (Systematic Evaluation for POI Recommendation Algorithms), which allows us to carry out an initial online evaluation of each tourist during their visit and a second offline evaluation of each CARS after the end of each POI path. To achieve this objective, we designed and implemented a new smart tourism tool that makes POI recommendations using two algorithms: the first is based on tourist/tourist similarity, and the second uses POI/POI similarity. These algorithms use memory-based collaborative filtering and are executed in parallel by our tool in the form of CARSs, incorporating time or weather as context variables. To evaluate these systems during their test phases, Our approach enables: (1) the calculation of prediction accuracy; (2) the examination of the relevance of the recommended POIs; and (3) the estimation of the acceptance rate of the recommendation process. Finally, the experimental results obtained with our approach show that the algorithm based on tourist similarity is more resistant to the cold start problem during the test phase and has a better satisfaction rate than the algorithm based on POI similarity. [ABSTRACT FROM AUTHOR]

Copyright of Rolling Stock (1002-7602) is the property of Rolling Stock Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The COVID-19 epidemic has precipitated a rapid and widespread adoption of online education, leading to its normalization in contemporary society. Online education is evident across several educational levels. However, assessing the efficacy and effectiveness of these training programs can only be achieved by implementing a suitable evaluation methodology. One of the primary challenges associated with online education is the difficulty in assessing its quality and effectiveness. One of the contributing factors to this issue is the instructor's lack of technological skills and knowledge relevant to online teaching. This research aims to develop a scale (Online Evaluation Awareness-OnEvA) to determine the instructors' awareness of online evaluation. 165 participants' data from 63 universities was used for exploratory factor analysis. The items of the scale are designed to measure awareness in both pedagogical and technological dimensions. The items in the pedagogical dimension include the essential competencies that instructors should possess, and alternative evaluation methods offered online. In the technological dimension, the items are created to determine instructors' awareness of the use of technological platforms and tools. For the next step, a confirmatory factor analysis was performed to establish the scale's construct validity with 161 instructors. Additionally, the scale's internal consistency was determined to be high, with a Cronbach's alpha of .964. It is affirmed that this awareness scale developed within the scope of this research will contribute to the development of future models or frameworks related to the dimensions of evaluation knowledge in online learning. [ABSTRACT FROM AUTHOR]

Online evaluation of the accuracy level of the phasor measurement unit (PMU) is very useful in assessing the accuracy ranges of PMU measurements. Such results can be applied to avoid the misoperation of power system protection and control and enhance the accuracy of power system state estimation. Because the theoretical values are unknown, the evaluation indices defined in the IEEE/IEC standard 60255-118-1, such as the total vector error, frequency error, and rate of change of frequency error, cannot be calculated online. To address this concern, a new index named the total waveform error (TWE) is proposed in this paper. It is defined as a ratio of fundamental root-mean-square (RMS) value to fundamental residual RMS, where harmonic components are excluded in the TWE calculation. For a specific window length, two TWE thresholds are set according to the IEEE standard C37.118.1 to divide the PMU measurement into 3 accuracy levels. Theoretical analysis and simulation tests show that the TWE is effective in accuracy-level evaluation. Two examples are given to illustrate the TWE applications of evaluating accuracy levels of PMU measurements.

AbstractThe COVID-19 pandemic has brought about a profound transformation in the educational landscape in recent months. Educators worldwide have been challenged to tackle academic issues they could never have imagined. Among the most stressful situations faced by students and teachers is implementing online assessments. This paper proposes a system that includes exam prototypes for computer architecture modules at the higher education level. This system generates a wide range of questions and variations on the server side, supported by a set of simulators, resulting in many unique examination proposals. This system streamlines the monitoring process for the teacher, as it eliminates the possibility of two students receiving similar exams and reduces student stress by allowing them to practice with a limitless number of exam samples. This paper also highlights several indicators that demonstrate the advantages of this framework.

This study aimed to reveal the trend of research on e-assessment in the field of educational sciences through scientific mapping and bibliometric analyses. For this purpose, the numerical distribution of research on e-assessment, citation analysis, research themes and the change of trend topics were examined. The publications to be examined were selected from WoS database according to PRISMA model, and 911 studies were included in the analysis. VOSviewer, Biblioshiny, Smart Bibliometrics and Leximancer software were used in data analysis. Apparently, there has been a significant increase in the number of research since 2005, and publications have been mostly produced in form of articles and papers. The most cited and the most productive countries are the USA, the United Kingdom and Australia, while the most cited journals are Assessment & Evaluation in Higher Education and British Journal of Educational Technology. An analysis of the keyword map revealed that the themes of technology and motivation, blended learning and collaboration, interaction and innovative approaches, validity and reliability, higher education, quality, basic disciplines and Covid-19 were frequently emphasized in the studies on e-assessment. An analysis of trend topics by years showed that, between 2010 and 2021, the trend topic distribution changed to include topics such as Covid-19, academic integrity, engagement, cheating, case study, and higher education. All these findings reveal that e-evaluation activities have displayed a development and transformation over time with the effect of developing technology, the pandemic, the spread of e-learning, the expansion of communication opportunities and many other factors. [ABSTRACT FROM AUTHOR]

A capacitive voltage transformer (CVT) is one of the electrical quantities measurement devices, and the state of its internal insulation is the key factor for ensuring the accuracy of its measurement of electrical energy. In view of the fact that the traditional real-time evaluation method of a CVT internal insulation anomaly mainly relies on empirical rules and prior knowledge and lacks the ability to independently mine effective features, an online evaluation method of a CVT internal insulation anomaly based on self-supervised learning is proposed. Firstly, an autoencoder is constructed to extract the residual sequence of the CVT secondary voltage and eliminate the influence of primary voltage fluctuation and power system voltage regulation. Without any prior knowledge, the complex dependence of the residual sequences in time and feature dimensions is learned by using a parallel graph attention layer (GATv2). Finally, a joint optimization based on the prediction and reconstruction model is introduced to obtain the abnormal inference score at each timestamp and realize the evaluation of the CVT internal insulation status. Experimental analysis shows that this method can effectively eliminate the influence of primary voltage fluctuation and power system voltage regulation on the online evaluation of the CVT internal insulation status and independently excavate the abnormal characteristics of the CVT secondary voltage to realize real-time monitoring and early warning of the CVT internal insulation status. [ABSTRACT FROM AUTHOR]

After the large-scale wind power airport is connected to the power grid, the wind farm cannot actively provide inertia support to the system, resulting in a significant decline in the inertia of the power system and weakening the frequency regulation ability of the power system. In order to explore the measurement and evaluation of inertia constant after large-scale wind farm is connected to the power grid. This paper first introduces the composition of inertia of power system at the present stage, then expounds the response process of inertia to disturbance after large disturbance of power system, and then deduces the power system model with large-scale wind power access through the analysis of traditional inertia measurement. Finally, the simulation model is used to compare the traditional measurement estimation with this paper. The maximum error is 9.18%, the minimum error can reach 2.4%, and the minimum error of the traditional estimation method can also reach 18%. Compared with traditional methods, it can be concluded that the error between the theoretical value of inertial time constant and the estimation of inertial time constant of the method described in this paper is significantly reduced.

With the increasing penetration of PV, LV distribution networks experience the condition of reverse power flow and also voltage increase in a part of the network. As a result, the capacity of the installed feeders is approximately within the range of the nominal value defined for them. Therefore, the proper assessment of the impact of PV in distribution networks seems necessary. In this paper, we have investigated the effect of PV systems in low-voltage and medium-voltage (MV) distribution system, and suitable online strategies were presented to alleviate these problems. In this regard, comprehensive modeling and analysis for LV and MV distribution networks have been performed. Therefore; this will allow the proper allocation of PV systems in the network. Using the approach as mentioned above, PV networks can be modeled for medium-voltage three-wire systems and low-voltage four-wire systems, which include Y-Δ transformers and ground impedance. PV systems modeling based on temperature , and ambient radiation data, inverter efficiency, PV panel parameters and V-I feature will be done. By using the above approach, it will be possible to optimally allocate PV systems in LV and MV distribution networks. In addition, a suitable method for carrying out load flow in distribution systems along with PV systems is provided, and in this regard, a suitable design will be proposed to analyze the effect of PV systems in distribution networks. Based on this plan, which was based on stabilizing the voltage of the network feeders at a nominal value, it was shown that the changes in the working conditions for PV systems in the presented algorithm and structure cannot have a negative impact on the network performance. [ABSTRACT FROM AUTHOR]

Life during the pandemic tested the objective assessment of learners' knowledge. By using criteria and grammatical rules for decision-making, the informal evaluation problem is resolved in a variety of unstructured situations. The current study's objective is to evaluate and compare the knowledge that has been acquired and competencies by the learners on the basis of online presented learning material and subsequent online assessment. The achieved results obtained during the evaluation of a test and exclude a constructed course project on the teaching material in the discipline "Web technologies" are compared. A formalized approach based on non-standard application of the one-parameter Rush model with fuzzy evaluations of the criteria was used for the two applied evaluation methods. The model enables program implementation and can be embedded in elearning platforms. [ABSTRACT FROM AUTHOR]

Copyright of China Rural Water & Hydropower is the property of China Rural Water & Hydropower Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Since April 2020 all schools and universities have been running online classes on e-learning platforms and teachers have gradually integrated various educational software into the teaching-learning process. Our target group consists of 114 students of the faculty and college. We wanted to find out their opinions about the geography online assessment, identifying the factors that influenced this process and any differences that occurred between the two categories of subjects. The results of the study showed that students at technical college adapted very well to online evaluation and the numerous chi-square associations with technological factors show the importance students attached to them over pedagogical and social factors. Students felt the need for digitisation of the learning process as most of the associations are between psychological learning factors and technological ones. The university students, unlike students from college, did not respond under the impact of emotions, and appreciated the software design of Kahoot and Google Forms by associating a positive, stimulating connotation with psychological features (motivation, memory, comprehension, relaxation). We conclude that both technical college and university students appreciated the benefits of online assessment through the use of Kahoot and Google Forms tools on both psychological and pedagogical levels. [ABSTRACT FROM AUTHOR]

Recent emerging assessment technologies could be used to support educators in their profession and to make growing. Key challenges for the measurement and evaluation emerging from the scenarios relate to ethical considerations This paper concentrates on the essential attributes of online assessment systems have been determined by systematically analysing the systems that support them, the security mechanisms they offer, and the common features they have. In addition to Gamification is to evaluate learners' abilities, knowledge, or competences, in order to select and/or create an online evaluation method for use in online measurement and evaluation, users, outcome, researchers, and system developers are expected to use trends in the characteristics of online assessment systems as a reference. [ABSTRACT FROM AUTHOR]

In connection with the changes imposed in recent years, the trend in education has been set by forms of education based on the use of digital technologies. Thus, also at the level of pre-college education, forms of online education have emerged that are adapted to the legal requirements, to the subject, but also to the experience of the teaching staff in the field of digital skills. In this sense, we have proposed an analysis of the digital systems used in precollege education. This research is divided into three parts: the analysis of teachers' experiences in the classroom, the use of digital tools, and the process of assessing students using digital methods. The method used in this research is based on a survey based on a questionnaire. The results sought were the opinions of elementary school teachers about the use of digital tools throughout the educational process. The conclusions concerned the degree of use of digital resources in the educational process and proved the reluctance of teachers and parents to use them. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has brought about a profound transformation in the educational landscape in recent months. Educators worldwide have been challenged to tackle academic issues they could never have imagined. Among the most stressful situations faced by students and teachers is implementing online assessments. This paper proposes a system that includes exam prototypes for computer architecture modules at the higher education level. This system generates a wide range of questions and variations on the server side, supported by a set of simulators, resulting in many unique examination proposals. This system streamlines the monitoring process for the teacher, as it eliminates the possibility of two students receiving similar exams and reduces student stress by allowing them to practice with a limitless number of exam samples. This paper also highlights several indicators that demonstrate the advantages of this framework. [ABSTRACT FROM AUTHOR]

Objective. While myoelectric control has been commercialized in prosthetics for decades, its adoption for more general human-machine interaction has been slow. Although high accuracies can be achieved across many gestures, current control approaches are prone to false activations in real-world conditions. This is because the same electromyogram (EMG) signals generated during the elicitation of gestures are also naturally activated when performing activities of daily living (ADLs), such as when driving to work or while typing on a keyboard. This can lead the myoelectric control system, which is trained on a closed set of gestures and thus unaware of the muscle activity associated with these ADLs, to be falsely activated, leading to erroneous inputs and user frustration. Approach. To overcome this problem, the concept of wake gestures, whereby users could switch between a dedicated control mode and a sleep mode by snapping their fingers, was explored. Using a simple dynamic time warping model, the real-world user-in-the-loop efficacy of wake gestures as a toggle for myoelectric interfaces was demonstrated through two online ubiquitous control tasks with varying levels of difficulty: (1) dismissing an alarm and (2) controlling a robot. Main results. During these online evaluations, the designed system ignored almost all (>99.9%) non-target EMG activity generated during a set of ADLs (i.e. walking, typing, writing, phone use, and driving), ignored all control gestures (i.e. wrist flexion, wrist extension, hand open, and hand close), and enabled reliable mode switching during intentional wake gesture elicitation. Additionally, questionnaires revealed that participants responded well to the use of wake gestures and generally preferred false negatives over false positives, providing valuable insights into the future design of these systems. Significance. These results highlight the real-world viability of wake gestures for enabling the intermittent use of myoelectric control, opening up new interaction possibilities for EMG-based inputs., (Creative Commons Attribution license.)

The challenges of online learning during the Covid-19 pandemic require creativity and learning innovation, so online learning evaluation is very much needed. The purpose of this paper is to explore the implementation of Quizizz-based online evaluation in universities as a fun alternative to evaluation. Quizizz has adequate features to serve as a means of evaluating online learning such as quizzes and daily assessments. However, most of them only use Quizizz as a learning game, whereas through Quizizz various formal learning evaluations can be carried out such as quizzes, daily assessments, surveys and so on. This research method is a qualitative method. Methods of collecting data with literature review, observation, and interviews. Sampling was selected by purposive sampling method, There are 56 students from the class of 2021 who are taking electronic components lectures, of which 21 are male and 35 are female, ranging in age from 19 to 20 years. The results of the study found that the implementation of Quizizz is easy to use, has many features and many facilities that support learning evaluation activities. Furthermore, the use of features on Quizizz, such as Live Quiz, gives the impression of live evaluation which is fun. Learning evaluation through Quizizz can make it easier for lecturers to make detailed and objective assessments. So, with the current Covid-19 pandemic, learning evaluation with Quizizz is the right alternative.

Copyright of Revista Complutense de Educación is the property of Universidad Complutense de Madrid and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The onset of Covid-19 pandemic prompted educational institutions to adapt flexible learning system where students have the option for online or blended learning. This is one concern of the Practicum courses since face-to-face meeting with training supervisors and hands-on experience of work are usually done. With the quarantine restrictions prohibiting students to hold their on-the-job trainings in offices and only have the option to do it online, educational institutions may conveniently monitor and assess the practicum experiences of their students even without doing onsite monitoring. Through a web-based evaluation system, an educational institution can systematically and conveniently conduct a 3600 feedback from practicum supervisors and practicum students that provides input in the monitoring performance of students and feedback on learning experiences in training stations. The conducted system testing and evaluation among the target users yielded favorable points on pursuing a project that can be simultaneously utilized by students, faculty, and training stations for a faster and easier way of data collection and generation in the course Practicum across different disciplines. [ABSTRACT FROM AUTHOR]

Research has shown that students differ in their abilities to evaluate the credibility of online texts, and, in general, many perform poorly on online evaluation tasks. This study extended current knowledge by examining students' abilities to justify the credibility of online texts from different perspectives, thus providing a more nuanced understanding of students' credibility evaluation ability. We examined how upper secondary school students (N = 73; aged 16 to 17) evaluated author expertise, author intention, the publication venue, and the quality of evidence when reading four texts about the effects of sugar consumption in a web-based environment. Additionally, we examined how students' prior topic knowledge, Internet-specific justification beliefs, and time on task were associated with their credibility justifications. Students evaluated author expertise, author intention, the venue, and the quality of evidence for each text on a six-point scale and provided written justifications for their evaluations. While students' credibility evaluations were quite accurate, their credibility justifications lacked sophistication. Inter-individual differences were considerable, however. Regression analysis revealed that time on task was a statistically significant unique predictor of students' credibility justifications. Instructional implications are discussed. [ABSTRACT FROM AUTHOR]

The application and management system of scientific research projects adopts the mature B/S mode, and uses the technologies of jqGrid, Layui, jQuery, PHP and MYSQL to design and realize the function modules of project application, online evaluation, project process management and project query statistics. At present, as a comprehensive management system of Weinan science and technology business, the system has been officially put into use, and has completed the application and evaluation of Weinan science and technology plan projects since 2018. The system is stable, beautiful interface, easy to operate, and can meet the daily needs of science and technology project management. It has produced certain economic and social benefits, and the system has certain application and promotion value in colleges and universities, scientific research institutes, science and technology management departments and other similar units. [ABSTRACT FROM AUTHOR]

Copyright of Erzincan University Journal of Education Faculty / Erzincan Üniversitesi Egitim Fakültesi Dergisi is the property of Erzincan University Faculty of Education Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Online assessment became an important part of the assessment of students after March 2020 in the COVID-Time. Traditional face-to-face evaluations were no more possible, therefore the use of solutions like Google Suite Educational became mandatory. In this paper we explore the strengths and weaknesses of some applications for student evaluation. Also, we will present a Web-based evaluation software that we have developed and which allows to schedule questions at random with a given time for students to answer the question and without the possibility to come back to a previous question. [ABSTRACT FROM AUTHOR]

Since April 2020 all schools and universities have been running online classes on e-learning platforms and teachers have gradually integrated various educational software into the teaching-learning process. Our target group consists of 114 students of the faculty and college. We wanted to find out their opinions about the geography online assessment, identifying the factors that influenced this process and any differences that occurred between the two categories of subjects. The results of the study showed that students at technical college adapted very well to online evaluation and the numerous chi-square associations with technological factors show the importance students attached to them over pedagogical and social factors. Students felt the need for digitisation of the learning process as most of the associations are between psychological learning factors and technological ones. The university students, unlike students from college, did not respond under the impact of emotions, and appreciated the software design of Kahoot and Google Forms by associating a positive, stimulating connotation with psychological features (motivation, memory, comprehension, relaxation). We conclude that both technical college and university students appreciated the benefits of online assessment through the use of Kahoot and Google Forms tools on both psychological and pedagogical levels.

The performance evaluation method based on data envelopment analysis (DEA) is one of the important tools to measure the competitiveness and productivity of enterprises. However, the input and output of enterprises may contain negative data and the essence of DEA is an iterative optimization model, resulting in a low applicability of the DEA-based performance evaluation method in the real word, especially for the dilemma of evaluating enterprise performance within a limited time for new enterprises. Therefore, this study firstly develops a DEA model that can handle negative data for enterprise performance evaluation, and then further establishes a new method base on the extended belief rule-base (EBRB) model for enterprise performance online evaluation. A case study about 35 Chinese state-owned enterprises are conducted to verify the effectiveness of the proposed enterprise performance online evaluation method. Experimental results showed that the proposed method has capable of evaluating enterprise performance with accurate efficiency values better than some existing performance evaluation methods, and its computation time is significantly less than the DEA-based performance evaluation method, which guarantee that the proposed enterprise performance online evaluation method can serve as a reference for the promotion of enterprise productivity and sustainable economic development. [ABSTRACT FROM AUTHOR]