Reviewerly/exHarmony huggingface dataset:
Is ChatGPT a Threat to Formative Assessment in College-Level Science? An Analysis of Linguistic and Content-Level Features to Classify Response Types

The impact of OpenAI’s ChatGPT on education has led to a reexamination of traditional pedagogical methods and assessments. However, ChatGPT’s performance capabilities on a wide range of assessments remain to be determined. This study aims to classify ChatGPT-generated and student constructed responses to a college-level environmental science question and explore the linguistic- and content-level features that can be used to address the differential use of language. Coh-Metrix textual analytic tool was implemented to identify and extract linguistic and textual feature. Then we employed random forest feature selection method to determine the best representative and nonredundant text-based features. We also employed TF-IDF metrics to represent the content of written responses. The true performance of classification models for the responses was evaluated and compared in three scenarios: (a) using content-level features alone, (b) using linguistic-level features alone, (c) using the combination of two. The results demonstrated that the accuracy, specificity, sensitivity, and F1-score all increased when we used the combination of two-level features. The results of this study hold promise to provide valuable insights for instructors to detect student responses and integrate ChatGPT into their course development. This study also highlights the significance of linguistic- and content-level features in AI education research.
Working with Reading to Learn in a bilingual primary school: Genres, literacy, inclusion

This article presents the implementation of Reading to Learn pedagogy (Rose, 2018a) in a 5th grade class of pupils learning subjects in English, a foreign language for the children, at a school with a very varied intake. It describes the design of lessons in two subjects (science and history), focusing on key genres for success in these areas: descriptive report and biographical recount. Data were collected at three times: T1 pre-intervention, T2 and T3 after lesson sequences on reading and writing the chosen genres. Ten pupils were selected among those who had completed all the final independent writing tasks, representing four types of learners in the class: three fast, three average, three slow with learning difficulties, and one with special educational needs. Their texts were assessed for the 14 features of the genres as in Rose's protocol, producing a total of 82 observations. The assessment showed considerable progression from T1 to T3 in both genres. The Wilcoxon test for related samples in this quasi-experimental design indicated significant improvement in many features of the genres from T1 to T3. To conclude, all the pupils benefited greatly from the R2L scaffolding cycles for writing in this school from a disadvantaged district.
Analysis And Forecasting of Foodstuffs Prices in Bandung Using Gated Recurrent Unit

Bandung is a city in West Java province, Indonesia. Bandung becomes one of the most densely populated cities in Indonesia. Therefore, predicting and analyzing the prices of foodstuffs based on historical data is necessary to provide useful information for society and government. This paper developed models implementing a gated recurrent unit or GRU which is a specific version of recurrent neural networks (RNN) for forecasting the price of rice, chicken meat, chicken egg, shallot, and garlic in a Bandung traditional market. The GRU models are trained using a dataset from the Information Center for National Strategic Food Price. The data are recorded from January 2018 – February 2023. The experimental results show that GRU was successfully implemented for forecasting the price of rice, chicken meat, chicken egg, shallot, and garlic. The best models produce Mean Absolute Error (MAE) as 4.3, 133.1, 118.3, 341.8, and 338.1 for rice, chicken meat, chicken egg, shallot, and garlic, respectively.
Review of Artificial Intelligence Applications and Modelling AI Framework in Education System

The potential of using artificial intelligence in education to enhance learning, assist teachers and fuel more effective individualized learning is exciting, but also a bit challenging. To even have an intelligent conversation about AI in education, one must first push past imaginary science-fiction scenarios of computers and robots teaching our children, replacing teachers and reducing the human element from what is a fundamentally human activity. AI can automate grading so that the tutor can have more time to teach. AI chatbot can communicate with students as a teaching assistant. This research paper focuses on modelling of AI ingredients in framework of education. AI in future can work as a personal virtual tutor for students, which will be easily accessible at any time and any place.
Efektivitas Penggunaan Media Pembelajaran CardBoard Box Dalam Mengevaluasi Pemahaman Nahwu Siswa MTs Ittihadul Ummah

This study aims to determine how effective the card board box learning media is in knowing and evaluating students' understanding of nahwu subject matter. This research uses quantitative methods. The results of our research regarding the effectiveness of cardboard box learning media for students of MTs Ittihadil Ummah grade 8, totaling 8 students consisting of 4 female students and 4 male students, were unsatisfactory, many of the students did not understand the qowaid material presented, as well as the definition of the material. contained in the cardboard box learning media does not function optimally. One in four female students has good abilities in understanding lessons and using media. While all male students are active in learning. One male student has good abilities and the other is quite good.
Meningkatkan Minat Belajar Bahasa Arab Dengan Metode Ice Breaking Di Madrasah Aliyah Al-Amiriyyah Banyuwangi

The aim of this research: First, to describe the forms of implementing ice breaking to increase interest in learning Arabic at Madrasah Aliyah Al Amiriyyah Blokagung Tegalsari Banyuwangi in the 2022/2023 academic year. Second, to find out how to prepare for the application of ice-breaking to increase interest in learning Arabic at Madrasa Aliyah Al-Amiriyyah Blokagung Tegalsari Banyuwangi for the 2022/2023 academic year. Third, to find out the evaluation of the application of ice-breaking to increase interest in learning Arabic at Madrasah Aliyah Al-Amiriyyah Blokagung Tegalsari Banyuwangi for the 2022/2023 academic year. The method used in this research is descriptive qualitative, their research design uses inductive data analysis (meaning that specific data is then used to draw general conclusions). The data collection used is by interview, observation, and documentation based on research results and discussion. The result of the research shows that the application of ice breaking at Madrasah Aliyah Al-Amiriyyah Blokagung Tegalsari Banyuwangi for the 2022/2023 school year is very effective in increasing interest in learning Arabic. In addition, this study also concluded that: 1). there are 3 forms of ice breaking used in Madrasah Aliyah Al-Amiriyyah to increase interest in learning Arabic, namely the type clapping, guessing pictures, and singing. 2). Things that need to be prepared to carry out ice-breaking activities include: a). Determine the form of ice breaking that will be used, b). Prepare ice-breaking materials as needed. c). Prepare media or tools to be used, d). Trial, e). Consider interactions with students, f). Involve all students, g). Pay attention to the length of the times or duration of ice-breaking, h). Make sure students feel comfortable. i). Do a review. 3) evaluation of the application of Ice breaking is carried out once every three weeks in oral or written form.
The Teaching Exploration of Linear Algebra under the Background of Artificial Intelligence

With the development of artificial intelligence, the teaching content and teaching methods of mathematics courses represented by linear algebra need to be changed accordingly in order to adapt to the development of artificial intelligence in the new era. Based on the reform of the teaching content, teaching methods and assessment methods of Linear Algebra under the background of artificial intelligence, this paper expounds the importance and necessity of Linear Algebra under the background of artificial intelligence, and puts forward the ideas of course design and reform guided by "stimulating interest" and "cultivating ability". On this basis, this paper expounds the specific content of the course teaching reform of linear algebra in the background of artificial intelligence, by combining the method of combining practical problems as the main line, which provides a reference for the course teaching of Linear Algebra.
Exploration on Classroom Teaching Quality of Intelligent Digital Information and Cloud Model

In the era of information explosion, digital technology has penetrated into every aspect of people's lives. Intelligent digital information and cloud models, as emerging educational technologies, provide new possibilities for improving the quality of classroom teaching. The quality of classroom teaching is influenced by various factors. Among them, teachers' teaching methods, relevant information skills mastered, and school facilities and equipment can all have an impact on the quality of teaching. This article conducted in-depth research on the quality of classroom teaching and applied relevant methods of digital information and cloud models, enabling a deeper understanding of the detection and calculation of classroom teaching quality. This article mainly applied the survey method and AHP (Analytic Hierarchy Process) to analyze the factors that affect the quality of teaching and calculate the consistency of the factors. The data results showed that there was a significant difference between the consistency and random consistency values of teaching effectiveness, which were 0.0046 and 0.0079, respectively.
Research on the influencing factors and improvement path of English teaching quality in colleges and universities

At the present stage, the process of education reform in China's colleges and universities is accelerating, and new standards and requirements have been put forward for English teaching in the context of new liberal arts. In this teaching environment, teaching activities should be carried out with a certain degree of comprehensiveness, to help students consolidate professional knowledge at the same time, create a good classroom atmosphere, cultivate students' independent inquiry ability, effectively improve the applicability of English teaching, and strengthen the core competitiveness of students. In this regard, this paper analyses the factors affecting the quality of English teaching in colleges and universities and the path of improvement, so as to promote the overall improvement of students' English language skills and comprehensive application ability.
Research on Project-Based Teaching Methods in the Introduction to Artificial Intelligence

This study aims to explore the impact of project-based teaching methods in the Introduction to Artificial Intelligence (AI) courses on students' academic performance, practical skill development, and learning experiences. By comparing students in the experimental group who were taught using project-based teaching methods with those in the control group who received traditional teaching, we found that project-based teaching significantly improved students' academic performance, helped them develop practical AI skills, and provided a rich and positive learning experience. The research results offer valuable insights for AI education on how to enhance teaching methods to meet the growing demands of the AI field, providing practical recommendations for higher education institutions and educators.
Pancreatic Cancer Data Classification with Quantum Machine Learning

Quantum computing is a promising new approach to tackle the complex real-world computational problems by harnessing the power of quantum mechanics principles. The inherent parallelism and exponential computational power of quantum systems hold the potential to outpace classical counterparts in solving complex optimization problems, which are pervasive in machine learning. Quantum Support Vector Machine (QSVM) is a quantum machine learning algorithm inspired by classical Support Vector Machine (SVM) that exploits quantum parallelism to efficiently classify data points in high-dimensional feature spaces. We provide a comprehensive overview of the underlying principles of QSVM, elucidating how different quantum feature maps and quantum kernels enable the manipulation of quantum states to perform classification tasks. Through a comparative analysis, we reveal the quantum advantage achieved by these algorithms in terms of speedup and solution quality. As a case study, we explored the potential of quantum paradigms in the context of a real-world problem: classifying pancreatic cancer biomarker data. The Support Vector Classifier (SVC) algorithm was employed for the classical approach while the QSVM algorithm was executed on a quantum simulator provided by the Qiskit quantum computing framework. The classical approach as well as the quantum-based techniques reported similar accuracy. This uniformity suggests that these methods effectively captured similar underlying patterns in the dataset. Remarkably, quantum implementations exhibited substantially reduced execution times demonstrating the potential of quantum approaches in enhancing classification efficiency. This affirms the growing significance of quantum computing as a transformative tool for augmenting machine learning paradigms and also underscores the potency of quantum execution for computational acceleration.
Systematic review of multiliteracies skills, multimodal tools to facilitate learning in early childhood classroom

This systematic review of literature investigates the use of multimodal tools and acquisition of multiliteracies skills to facilitate effective learning in early childhood educational settings. The review covered a total of 15 relevant articles obtained from databases such as ERIC, Education Full Text, PsycINFO, and Web of Science. Having analyzed and synthesized the current evidence, the review provides a significant and valuable insight into the use and acquisition of multiliteracies skills and tools to facilitate learning in early childhood settings. The sole purpose of this review is to add to the body of existing literature in multiliteracies. The study also provides answer to the only research question of the review which was what are the most effective ways to implement multiliteracies and multimodal techniques in the classroom and how early childhood education can benefit from the systematic application of multiliteracies and multimodal learning. The result of the review revealed that, teachers are facing greater challenges than ever in choosing and designing a pedagogy that can engage students in meaningful literacy practices due to the changing literacy needs in the multimedia environment, the changing lifeworld’s of the learners, and the changing dimensions of school literacies. Therefore, the review recommended that policymakers must work to incorporate all multimodal tools and technology into the curriculum, especially for early childhood education. Also, schools and learning centers should provide limitless opportunities in early childhood classrooms and environment to assist, direct, and motivate students to learn.
Developing augmented reality novel games as English learning media for reading narrative texts

Incorporating augmented reality (AR) into education is increasingly vital for fostering engagement and interactivity, particularly in language learning, where narrative text plays a central role. The objectives of this study were to (1) ascertain the participants' target demands, (2) analyze their English-language learning needs, and (3) create an augmented reality novel game as a teaching tool for narrative text. This research and development project (RD) was conducted. Junior high schoolers were the subjects; they were 15 males and 17 females. This study was done using a 4-D model. Participants were given questionnaires to complete, and an English teacher was interviewed as part of the need analysis. The instruments used to collect the data were the needs analysis questionnaire, interview guidelines, expert judgment rating scale, and student review questionnaire. The result of this study is an augmented reality novel game as English learning media, which was created after taking into account the findings of the needs analysis, professional opinion, and student evaluation. It consists of narrative texts in general and augmented reality books that serve as instances of narrative texts. The developed media's overall average score was 3.65. The created interactive learning multimedia was therefore categorized as suitable. According to the students' review findings, most augmented reality novel games are excellent and appropriate.
Implementation of flipped learning with flipbook media assistance on learning outcomes and critical thinking abilities

This research was conducted as a sort of classroom action research with two learning cycles to examine whether flipped learning aided by flipbook media may enhance students' cognitive learning outcomes and critical thinking skills. This research's population consisted of tenth-grade Madrasah Aliyah Al Misri Curahmalang students for the academic year 2021-2022. Methods for collecting data include interviews, tests, observations, and documentation. The classical completeness of cognitive learning outcomes increased from 19% in the first cycle to 97% in the second cycle, according to the research findings. Whereas critical thinking abilities were acquired in the first cycle, just one student met critical criteria. In contrast, six students exceeded crucial criteria, and twenty students exceeded critical criteria in the second cycle. Based on the analyzed research findings, it is possible to conclude that flipped learning aided by flipbook media can enhance students' cognitive learning outcomes and critical thinking skills.
Non-Financial Incentives and Employee Retention in Bank of Kigali Plc, Rwanda

The general objective of this research examined effect of non-financial incentives on workers retention in banking sector using a case of the Bank of Kigali Plc in Kigali City. The specific objectives were to assess effect of flexible working arrangement, career development, employee recognition, and job promotion on employee performance in the bank of Kigali. The study targeted 370 persons from which a sample of 193. The research tools were a questionnaire, and interview guide. The researcher used descriptive statistics to generate frequencies, percentage, mean, and standard deviation for dependent and independent variables. The study used inferential statistics to produce correlation between variables and to establish a regression size effect based on specific research objectives. Qualitative information was assessed through the use of content analysis in term of items developed from interview transcript. Results show that 40.7% strongly agree that&nbsp;&nbsp; the use of shift work in the bank of Kigali, 50.9% strongly agreed the application of part time.&nbsp; Results on flexi time demonstrated a negative and insignificant correlation between flexi time and team work (r=0.976, p-value =0.002). To the second objective, 37.0% strongly agree that they have received training after its design and planning, 42. 8% strongly disagree that it was very important to have scholarship. Results for the correlation between the scholarship and team work (r=-0.134, p-value= 0.041) was negatively statistically significant. Thirdly, results show that 36.6%, contend that they were appreciated by the bank of Kigali, 54.9% contended an increase in responsibility. Appreciation was not associate with effectiveness (r=0.076, p-value =0.249) and appreciation and project commitment (r=0.028, p-value=0.667). The fourth objective established that 37.0% strongly agree the existence of an increase in responsibility, 42.8% strongly disagree that it was very important of change of facilities, 34.0% strongly agree that they change of positions. Results on change of facilities, demonstrated a negative and insignificant correlation between change of facilities and team work (r=0.776, p-value=0.002).&nbsp; The study recommends that the Bank of Kigali should offer trainings programs and comply with factors that encourage the spirit of turning over. The management should be provided training to enhance and ameliorate their managing styles. The management should involve their employees when they make decisions, once you involve people in decision making they put in more effort because they are part and parcel&nbsp; of decisions that have been taken and that may increase their level of commitment in the organization. Further researches&nbsp; should done&nbsp; within further domain of activities&nbsp; in to participate&nbsp; in acquiring more and accurate data related to the turnover rate&nbsp; and to adopt more adequate and conducive retention strategies. Keywords: Non-Financial Incentives, Employee Retention, Bank of Kigali Plc, Rwanda
NATLOC: Natural Language Object Localization

This paper presents a novel approach for interacting with a robot in a virtual environment based on one-shot object localization using an image generator model, an image matching model, and a differentially trained robot. The user provides a textual description of an object, which is used by the image generator model to generate a corresponding image. This generated image is then compared with the visual input from a camera mounted on the differential robot, enabling precise object localization when the object is within the camera’s field of view. The robot is trained using Reinforcement Learning techniques to align itself with the requested object. In this way, the robot locates a wide variety of objects solely based on natural language input.
Developing Genre-based English Worksheet for Vocational Students by Using 4-D Development Model to Improve Writing Skill

The research aims to develop genre-based English worksheets for the Basic English course and assess the validity of student worksheets of vocational students. This study explores worksheet development using a 4-D development model with stages of definition, design, development, and dissemination. This study employed research and development design. The instrument used was an observation by analyzing student needs involving vocational students at Akademi Komunitas Negeri Putra Sang Fajar Blitar, Universitas Sumatera Utara, Politeknik Negeri Medan, and Universitas Bengkulu. In define stage, this writing worksheets are emphasized with a reflective thinking approach so that students understand the material presented without obstacles. The independent learning curriculum is the basis for enriching the quality of learning to create education with more character. In design stage, reflective thinking strategies are designed to train students' reflective thinking skills in writing texts in the form of long, genre-based functional texts. In development stage, material feasibility tests, language use, and appearance are tested by validators through a validation process. The development of this worksheet began to develop through criticism and ideas on the validator sheet that had been provided. Further revisions and analysis are carried out to then produce the final writing worksheet. In disseminate stage, Module distribution was also carried out for vocational higher education in English to disseminate student writing worksheets to other vocational universities in the form of e-books and printed books.