Reviewerly/exHarmony huggingface dataset:
Exploration and Reflection on Modern Apprenticeship Talent Cultivation Mode in Higher Vocational Colleges and Universities

Modern apprenticeship is a talent cultivation mode of deep integration between schools and enterprises, and an effective way for higher vocational colleges and universities to improve the quality of talent cultivation and realize professional service to society. Guangxi College for Preschool Education of Special Education College of Applied Behavior Analysis cooperates with Guangxi Youzhuan Special Children Care Service Center to coeducate rehabilitation teachers of autistic children using the modern apprenticeship mode, constructs school-enterprise synergistic cultivation mechanism, promotes the integration of enrollment and recruitment, improves the system and standard of talent cultivation, builds the faculty team that is mutually employed by the school and enterprise, establishes the guarantee for the management system of modern apprenticeship, and so on. The practice has been carried out with the initial experience gained. However, the construction of a long-term operation mechanism of the modern apprenticeship mode still requires consideration of the contradiction with the traditional cultivation mode and the construction of a perfect evaluation system.
EXPLORING THE CHALLENGES OF DIGITAL TEXTBOOKS IN READING COMPREHENSION

Reading is a crucial skill that contributes to the language, mind, social, and cultural development of students. In addition, in the digital era technology is widely found and can be used properly. Digital textbooks have become an inevitable part of leisure time, study assignments, and work duties, facilitating online learning and blended learning. But there are also individuals who reject the existence of new technology. This study highlights the challenges of digital textbooks in reading comprehension. This study utilized literature review research, which is a survey of scholarly sources on a specific topic. The researchers reviewed 24 articles published between 2018 and 2023 from ERIC Journal and Google Scholar, analyzing the content and information in the articles. The study found that digital textbooks can impact students' focus ability, as they can be easily distracted by social media, notifications, and web browsing. This could explain why paper-based media appears to favor reading comprehension in unsupervised settings where learners are less exposed to such distractions. The use of digital textbooks must be accompanied by information literacy from digital technology. Digital textbooks offer a new experience in reading, but they also present challenges in terms of social-economic status, focus ability, and information literacy.
THE EFFECTIVENESS OF LEARNING VIDEOS ON INFORMATION PROCESSING IN MOSLEM STUDENTS

This study aims to determine the effectiveness of audio-visual learning on information processing abilities in moslem students. The existence of this research is because there are still many students who have difficulty understanding learning material. The hypothesis put forward is that there is an effect on the effectiveness of learning videos on the information processing abilities of moslem students. The research method used is One Group Pretest-Posttest Design. The subjects in this study were 30 moslem students. Data collection techniques using a questionnaire designed with a scale.
A Systematic Overview of Reviews of the Use of Immersive Virtual Reality in Higher Education

Objectives: Immersive virtual reality (IVR) provides opportunities to learn within a nonphysical, digital world. The purpose of this critical review was to examine published systematic reviews regarding the benefits and challenges of IVR in higher education to inform best practices. Method: We followed the Preferred Reporting Items for Overviews of Reviews (PRIOR) to ensure transparency and to afford an evidence-based approach for synthesizing insights from a broad range of research. We analyzed and synthesized 10 reviews that include 332 studies with over 9,878 participants, following an integrated synthesis design process using thematic analysis and emergent coding. Results: Results confirmed the various benefits and challenges of IVR. The benefits include improved student learning and behaviours, while challenges include technology issues, behaviours that inhibit learning, and learning how to use IVR. Conclusions: IVR holds considerable potential in disciplines requiring practical applications such as simulation-based training and testing. However, further research into contexts such as participant age, gender, instructional design or learning theory, and longitudinal study is required. Finally, higher education stakeholders will benefit from budgeting time and costs, aligning IVR use with real-world applications, maintaining an adaptive mindset, and developing scaffolded instructional design. Implications for Theory and/or Practice: The primary benefits of student learning through IVR include enhanced skill acquisition, experiences, and learning outcomes. In addition, while immersive platforms housed in static rooms may present financial challenges, the emergence of—and increased investment into—untethered headsets and haptic controllers can reduce operational costs and increase student access to high-quality learning experiences.
Real-Time Switched Capacitor Based Power Side-Channel Attack Detection

Side-channel attacks (SCAs) are regarded as significant risks to the hardware implementation of cryptographic systems. Side-channel information, such as timing, power, and electromagnetic radiation, is leaked through the system and can be exploited for secret key extraction. This work proposes a real-time and compatible detection method for power SCAs. The technique utilizes a switched capacitor DC-DC (SC-DCDC) converter in conjunction with a lightweight artificial intelligence engine for power SCA detection. The proposed system, referred to as EoH, possesses the capability to perform dynamic voltage scaling and learn the behaviors of the cryptographic system to identify potential attacks. The switching activities of the SC-DCDC converter can be viewed as measurements of the cryptographic function. Therefore, a recurrent neural network was chosen as it processes time-series data most effectively. The technique is system-specific, meaning that during the enrollment phase, the normal operation of the system is learned. Furthermore, the technique can be expanded to include other types of SCAs and is not limited to power.
Work-in-Progress: Python Code Critiquer, a Machine Learning Approach

This research is part of a larger development project that is working on a multi-programming language code critiquer called WebTA. The WebTA code-critiquing software is designed to be used in courses for novice programmers, e.g., CS1 a first engineering course. The authors report on a component of the project that makes initial steps towards a automating the identification of common student mistakes, or antipatterns in code. Antipatterns can be errors, inefficiencies, or incorrect style choices in the code. This works is aimed at Python and uses the machine learning algorithm, Random Forests, to identify a stylistic antipattern of crowded operators.
Crystal Viewpoints: Virtual Reality Viewpoint Design for Analytical Measurement of Crystal Structures in Materials Science and Engineering

This Work-in-Progress Research paper provides an exploration of viewpoints that are feasible candidates for visualizing the crystal structures in a Virtual Reality Learning Environment (VRLE). Visualization of crystal structures in Materials Science and Engineering is an important topic for various STEM disciplines. Traditional approaches to visualize these structures are limited to two-dimensional representations via paper sheets or computer screens. Beyond traditional methods, VRLEs are a promising approach for teaching about crystal structures, as their visualization is inherently three-dimensional and can afford a more immersive user experience. However, the optimal selection of viewpoints and perspectives that promote effective exploration and enhanced interactions with the crystal structures inside the VRLEs remains unclear. Our work addresses this gap by comparing three distinct viewing configurations in a VRLE: (A) from the bottom base of the structure, (B) hovering on top of the stacked crystal structure, and (C) from the center of the structure. To compare the viewpoints, we analyze the user preferences between the visualization approaches. Overall, this paper provides guidelines on the design of experiences related to crystalline structures in VRLEs for better student engagement and enjoyment with Materials Science content.
The development study of an automated scoring program for Korean essays, PASTA-I

In this study, we developed PASTA-I, an automated scoring program for Korean essays, to solve the problems of scoring burden and objectivity and consistency of scoring. PASTA-I builds a scoring model based on data on three topics from the ‘Essay Writing Evaluation Data’ released by the National Information society Agency(NIA) The scoring was done with 3 points scale across 10 scoring areas, and accordingly, the automated scoring model was implemented in this study so that scoring was done for each of the 10 scoring areas. The algorithm used to implement the scoring model was electra-kor-base, which was trained on Korean data based on the ELECTRA model, and the performance of the automated scoring model was verified using testing data set on three topics, including ‘The biography’, ‘Movie/reading review,’ and ‘My personality strengths and weaknesses,’ and the results showed an accuracy of .7 or higher in almost all areas.
Influence of digital literacy competence on academic achievement in nursing students: The mediating effect of self-directed learning ability

Objectives The purpose of this study was to examine the role of self-directed learning ability as a mediating factor between digital literacy competence and academic achievement among nursing students.&#x0D; Methods Employing a descriptive correlation design, the study engaged 144 nursing students from two universities in two different cities. A self-report questionnaire was used to measure digital literacy competence, academic achievement (reflected by grade point average, GPA), and self-directed learning ability. Analysis was performed using SPSS 23.0 and the mediating effects were verified through the bootstrapping method by using the PROCESS macro for SPSS.&#x0D; Results The mean scores of digital literacy competence and self-directed learning ability were 4.03±0.44, 3.60±0.49, and academic achievement was 3.62±0.44 respectively. Digital literacy competence did not have a direct effect on academic achievement (B=-.10, p=.286). However, it had a direct effect on self-directed learning ability (B=.57, p&lt;.001). Self-directed learning ability had a direct effect on academic achievement (B=.30, p=.001). Furthermore, digital literacy competence had an indirect effect on academic achievement through self-directed learning (B=.18, 95% CI=.05~.31). Self-directed learning ability had a mediating effect on the relationship between digital literacy competence and academic achievement of nursing students.&#x0D; Conclusions Digital literacy competence did not have a direct effect, but instead an indirect effect on academic achievement through self-directed learning. These results suggests that educationl programs which consider the level of digital literacy competence and self-directed learning ability are essential to improve the academic performance of nursing students.&#x0D;
Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis

In computer science and related technical fields, researchers, educators, and practitioners are continuously automating recurring tasks for high efficiency in a wide variety of fields. In higher education, such tasks that educators face are the recurring review and assessment process of students' programming coursework. Thus, various attempts exist to automate the assessment and feedback generation for course homework and practicals in higher education. Those approaches for automated programming task assessment often comprise running automated tests to check for limited functional correctness and potentially style checking for various violations (LINTing). Educators familiar with large-scale automated task assessment are likely used to seeing hard-coded solutions specifically or accidentally designed to just pass the required tests, ignoring or misinterpreting the actual task requirements. Detecting such issues in arbitrary code is non-trivial and an ongoing research topic in software engineering. Software engineering research has yielded various semantic analysis frameworks, such as GitHub's CodeQL, which can be adapted for programming task assessment. We present a work-in-progress programming task analysis framework which employs CodeQL's analysis technology to identify the actual use of task-description-mandated syntactic and semantic elements such as loop structures or the use of mandated data blocks in branching conditions. This allows extending existing course work analysis frameworks to include a semantic check of an uploaded program which exceeds the relatively simple set of input-output test cases provided by unit tests. We use a running example of entry level programming tasks and several solution attempts to introduce and explain our proposed control flow and data flow -based analysis method. We discuss the benefits of including semantic analysis as an additional method in the automated programming task assessment toolbox. Our main contribution is the adaptation of an semantic analysis code framework to analyse syntactic and semantic components in students' programming coursework.
Insights Into Student Attention During Online Lectures: A Classification Approach Using Eye Data

With the growing prevalence of online learning, ensuring student engagement and attention during online lectures has become a challenge. Unlike traditional classroom settings, where students are physically present and can interact with their peers and the instructor, online lectures can feel more passive and isolating. To address this challenge, we investigate the use of eye-tracking data to identify distractions during online lectures. By analyzing this data, it becomes possible to gain insights into a person's attention and focus. To achieve this, we employed a technique to approximate the raw gaze data using piecewise linear functions, where each segment represents an eye movement event such as fixation and saccade. These segments are then used to extract important features that distinguish between eye gaze time series before and after the distractor stimuli in the online lecture. We then train a binary classifier using the extracted features and also rank the importance of the features. The classifier achieves an accuracy of 73.6 % in classifying gaze timeseries as a distraction or no distraction.
Enhanced 3D Visuo-Haptic Simulators to Understand the Nature of Friction Forces

Visuo-haptic simulators (VHS) incorporate the sense of touch into a visual simulator to enrich the learning experience of the user. Through haptic feedback, VHS allow manipulating bodies in a visual simulator and feel the forces applied to them as if they were real. This work presents the design and implementation of a 3D VHS update aimed to support the understanding of friction forces, using the VIS-HAPT methodology proposed by our group. The simulator presents a block on an incline, where the values of the block's mass, incline angle, and the static and kinetic friction coefficients can be changed. The interface also shows dynamically the forces acting on the block in a free-body diagram. The VHS was tested in the August-December 2022 term, with a sample of 309 undergraduate engineering students, distributed in experimental and control groups with 164 and 145 students, respectively. A comparison of pre and post-tests applied to both groups showed that the experimental group obtained larger learning gains than the control group to a statistical significance level ofp = 0.014. This result suggests that the addition of the sense of touch in the VHS promoted a better student understanding of the nature of friction forces. By means of a perception questionnaire, students of the experimental group highly expressed opinions about the haptic activity and that it supported their learning of friction forces. All these findings motivate authors to design additional appropriate visuo-haptic scenarios to foster students learning of real-life physical forces.
The Training of Online Quiz as Gamification and Assessment in Virtual Learning

Abstract. The COVID-19 pandemic has led to the emergence of policies regarding the transition from face-to-face learning systems to virtual ones. It impacts changes in the implementation and readiness of teachers in the learning process, especially in terms of learning evaluation. One of the teacher's efforts is to master the use of online quiz applications for valid assessment purposes. Evaluation activities are innovatively modified into gamified online quizzes to make the assessment process more fun. The structure of this service activity includes training and assistance in utilizing online quiz applications. The service activities were carried out from August 30 to October 30, 2021. The number of participants in the service activities was 44 MGMP biology teachers from East Oku Regency. The action begins with the preparation and implementation stages of training, followed by mentoring activities. This activity starts with determining the type of test and the design of the questions given in the learning evaluation activity. Furthermore, the questions are adjusted to the essential competencies in the learning activities that the teacher has prepared. The values obtained by the participants before and after the training showed an increase in participants' scores by 22.7%. The results of the pretest and posttest indicate that teachers have gained an understanding of the use of online quiz applications. This training can assist teachers in providing interactive learning evaluation
GAMIFICATION IN THE LEARNING EVALUATION ON STUDENTS' LEARNING OUTCOMES OF ENGLISH EDUCATION STUDENTS

This research sets the goals to find out the form of gamification in the learning evaluation on the learning outcomes of English Education students and the effectiveness of using gamification in the learning evaluation on the learning outcomes of English Education students. English Book Grammar Application and Cue Card used as the media in implementing the gamification. Quantitative research with pre-experimental was conducted in this research. The research was conducted at English Education Study Program Islamic Institute of Muhammadiyah (IAIM) Sinjai and English Education Study Program of Makassar Islamic University (UIM). The sample of this research were 25 students from IAIM Sinjai and UIM by using purposive sampling technique. Test and documentation techniques were combined to obtain the data. The collected data then analyzed by descriptive statistics and inferential statistic. The result showed that: (1) the form of gamification in the learning evaluation of English Education students using the English Book Grammar application and Cue Card is like playing the game with its components, such as grouping the students, explaining the rules, giving question to the students, the students competing answer the question by using English Book Grammar App and Cue Card, scoring the result, and giving rewards to the winner. (2) the use of gamification in the learning evaluation is effective on the learning outcomes of English Education students. It can be seen from the result of data analysis by using t-test where sig. 0,000 &lt; 0,05 means H1 is accepted.
A basic epistemic logic and its algebraic model

In this paper we propose an algebraic model for a modal epistemic logic. Although it is known the existence of algebraic models for modal logics, considering that there are so many different modal logics, so it is not usual to give an algebraic model for each such system. The basic epistemic logic used in the paper is bimodal and we can show that the epistemic algebra introduced in the paper is an adequate model for it.
Process Visibility and Work Stress: Exposure the relationship with Service Quality to attain Customer Satisfaction in Hospitality Industry

This study investigates the relationship between process visibility, work stress management practices, service quality, and their collective influence on customer satisfaction within service-oriented industries. Employing a comprehensive research framework, encompassing both qualitative and quantitative methodologies, the study examines how the level of process visibility affects employees' stress levels, and subsequently, the quality-of-service delivery. This empirical study employs a descriptive research design, employing the advanced statistical tool SmartPLS 4.0, to investigate the relationship between process visibility, work stress, and service quality in the context of the vibrant hospitality sector in Dubai, United Arab Emirates. With a robust sample size of 246 respondents drawn from top hotels and restaurants in Dubai, this research delves into the factors that shape service quality within this dynamic and competitive industry. The research's findings are intended to make a substantial impact on both academia and business. It offers useful insights for service managers and policymakers by illuminating the complex relationships between process visibility, job stress management, service quality, and customer happiness. The findings provide research-based recommendations for boosting service quality through process visibility optimisation and the application of efficient stress management techniques. In the end, our research aims to support service organisations in developing strategies that not only meet but also surpass consumer expectations, promoting long-term success and sustained customer happiness.
Usability in a Mixed Cryptography and Hardware Security System

Cryptography attempts to provide a private and secure transmission channel for communication between sender and receiver, through a secret key, so that, if an intruder manages to intercept this transmission, they cannot understand the content of the information. Cryptography is not a new or recent technology, it is as old as writing, which has adapted to the times, and to all the different means of communication such as the telephone, radio and current networks. At first, cryptography was only used in military environments to protect communications during war, but today with the development of multiple ways of communication, particularly the Internet, it became common for people to be more interested in protecting their information, from private information of an individual to protect information between communication channels to resolve government issues. In this work we will talk about cryptography application and its development, and how to apply all of this to a security system, which can be applied to locks, whether residential, cars or any other lock.