El trabajo analiza el estado de la alfabetización en Uruguay y destaca que, la principal inequidad en el acceso a la educación y alfabetización es estar en situación de discapacidad. A pesar de avances normativos que reconocen el derecho a la educación para todos, persiste una brecha significativa entre estas disposiciones y la realidad del país. Según datos de la Encuesta Continua de Hogares (2007-2019), el analfabetismo en Uruguay ha disminuido progresivamente, alcanzando un 98,77% de alfabetización en 2019, superando la media mundial y regional (94,45%). Sin embargo, la relación entre analfabetismo y discapacidad permanece invisibilizada. En Uruguay, el 70% de quienes se identifican como analfabetos también declaran tener alguna discapacidad. Esta realidad refleja barreras significativas derivadas de la falta de medición, recursos especializados y la persistencia de un paradigma excluyente, vinculado al modelo de prescindencia, que se aleja del enfoque social y de derechos hacia la diversidad funcional. Estas barreras limitan el acceso efectivo al derecho a la educación y la alfabetización para personas con discapacidad. El texto concluye que es imperativo implementar un plan de medición e intervención que aborde esta problemática de manera estructural, priorizando recursos humanos y materiales especializados, para garantizar la inclusión educativa y avanzar hacia un modelo de atención que promueva equidad y justicia social. El trabajo busca abordar el estado de la alfabetización en Uruguay y visibilizar el principal factor de inequidad para el acceso a la educación y la alfabetización ser una persona en situación en situación de discapacidad.
Charith Jayasekara, Carlo Kopp, Vincent Lee
et al.
This paper presents the design and refinement of automated Moodle-based Problem-Solving Assessments (PSAs) deployed across large-scale computing units. Developed to replace traditional exams, PSAs assess applied problem-solving skills through parameterised, real-world tasks delivered via Moodle's quiz engine. Integrated with interactive workshops, this approach supports authentic learning, mitigates academic integrity risks, and reduces inconsistencies in marking. Iterative improvements have enhanced scalability, fairness, and alignment with learning outcomes. The model offers a practical and sustainable alternative for modern computing and engineering education.
The article provides a brief description of the MathPartner service. This freely available cloud-based Mathematics is a universal system for symbolic-numeric calculations. Its Mathpar language is a subset of the LaTeX language, but allows you to create mathematical texts that contain "computable" mathematical operators. This opens up completely new opportunities for improving the educational process for all natural science disciplines, for the use of mathematics in scientific and engineering calculations. To save and freely exchange educational and other texts in the Mathpar language, a GitHub repository has been created. It is concluded that cloud mathematics MathPartner is a new breakthrough technology for school and university natural science education, for scientific and engineering applications.
Quantum Information Science and Engineering (QISE) is rapidly gaining interest across a wide range of disciplines. As QISE continues to evolve, engineering will play an increasingly critical role in advancing quantum technologies. While efforts to characterize introductory QISE courses are underway, a comprehensive understanding of QISE education across the United States remains lacking. Developing a broad understanding of the QISE education landscape is crucial for addressing the needs of the growing quantum industry and ensuring equitable access for a diverse range of participants. This paper presents part of an ongoing effort to characterize the current landscape of QISE courses and degree programs in higher education in the US. To achieve this, we used publicly available information from university and college websites to capture information on over 8000 courses that address quantum in some way and nearly 90 QISE specific programs (e.g., degrees, minors, certificates). The majority of these programs are interdisciplinary and include engineering; 14 of them are housed exclusively in engineering departments. We find most programs are offered at research intensive institutions. Our results showcase an opportunity for program developers at non-research intensive institutions to justify the creation of QISE programs, which would also address calls from different stakeholders in QISE education for a more diverse QISE workforce. We suggest strategies based on the findings of this study such as integrating QISE into existing engineering courses, investing in the development of QISE courses and programs at non-PhD-granting institutions, and making courses with QISE content accessible to students from a variety of majors.
While large language models (LLMs) have introduced novel paradigms in science and education, their adoption in higher education is constrained by inherent limitations. These include a tendency to produce inaccuracies and high computational requirements, which compromise the strict demands for accurate and reliable knowledge essential in higher education. Small language models (MiniLMs), by contrast, offer distinct advantages in professional education due to their lightweight nature and precise retrieval capabilities. This research takes "Atmospheric Physics" as an example. We established a specialized corpus and image repository by gathering over 550,000 full-text PDFs from over 130 international well-respected journals in Earth and environmental science. From this collection, we extracted over 100 million high-quality sentence-level corpus and more than 3 million high-resolution academic images. Using MiniLMs, these resources were organized into a high-dimensional vector library for precise retrieval and efficient utilization of extensive educational content. Consequently, we systematically redesigned the courses, textbooks, and teaching strategies for "Atmospheric Physics" based on MiniLMs. The course is designed as a "interdisciplinary-frontier" system, breaking down traditional boundaries between atmospheric science, space science, hydrology, and remote sensing. Teaching materials are transformed from static, lagging text formats into a dynamic digital resource library powered by MiniLM. For teaching methods, we have designed a question-based learning pathway. This paradigm promotes a shift from passive knowledge transfer to active cognitive development. Consequently, this MiniLM-driven "Atmospheric Physics" course demonstrates a specific avenue for "AI for education".
Mentoring software is a pivotal innovation in addressing critical challenges in teacher development within educational institutions. This study explores the transformative potential of digital mentoring platforms, evaluating their impact on enhancing traditional mentoring practices through scalable, data-driven, and accessible frameworks. The research synthesizes findings from existing literature to assess the effectiveness of key features, including structured goal setting, progress monitoring, and advanced analytics, in improving teacher satisfaction, retention, and professional growth. Using an integrative literature review approach, this study identifies both the advantages and barriers to implementing mentoring software in education. Financial constraints, limited institutional support, and data privacy concerns remain significant challenges, necessitating strategic interventions. Drawing insights from successful applications in healthcare and corporate sectors, the review highlights adaptive strategies such as leveraging open-source tools, cross-sector collaborations, and integrating mentoring software with existing professional development frameworks. The research emphasizes the necessity of integrating digital mentoring tools with institutional objectives to create enduring support systems for teacher development. Mentoring software not only enhances traditional mentorship but also facilitates broader professional networks that contribute to collective knowledge sharing.
The purpose of this study was to analyze the implications of Islamic religious education for the religiosity of the coastal community in the village of Tanjung Luar. This research method uses a qualitative-phenomenological approach. The research location is located in Tanjung Luar Village, Keruak District, East Lombok Regency. The data sources in this study consist of primary and secondary data. Data was obtained from observation, interviews, and documentation. The population of this research is the coastal fishing community of Tanjung Luar. The research sample was taken from community leaders, religious leaders, youth leaders, and madrasah students proportionally. Data analysis in this study used descriptive qualitative analysis, by collecting data, classifying data, reducing, evaluating, and making conclusions. Based on the results of the study, shows that Islamic religious education in fishermen's families in the village of Tanjung Luar has significant implications for carrying out Islamic worship and law in everyday life. There are two categories of fishing families in implementing Islamic religious education. First, parents who implement Islamic religious values in their family. Second, parents who lack the motivation in implementing Islamic religious values in their family
L’articolo propone una ricostruzione storica degli studi accademici su affetto ed emozione, identificando due correnti principali: la Teoria dell’Affetto e le Scienze Affettive. All’interno di ciascuna di queste correnti, saranno identificate le principali fasi storiche e le implicazioni che questi studi hanno avuto (e stanno avendo) nell’ambito dell’educazione linguistica. L’articolo mette in luce alcune questioni critiche riguardanti la ricerca in questo ambito e le loro implicazioni nella nostra società. Infine, mira a offrire alcuni spunti per ridefinire queste aree di ricerca, fornendo alcuni strumenti da applicare nella pratica dell’insegnamento delle lingue, con un particolare focus sull’insegnamento dell’italiano come lingua seconda .
Affective studies and language education: a synthesis of the studies on affect and emotions and their role in language education
The article proposes a historical synthesis of the academic studies on affect and emotion, identifying two main currents: Affect Theory and Affective Sciences. Within each of these, the main phases, and implications that these studies have had (and are having) in language education will be identified. The article also highlights some critical issues regarding research on affect and emotions and their implications in our society. Finally, it aims to offer some insights to reframe these research areas, providing some tools to be applied in language teaching practice, with a particular focus on teaching Italian as a second language.
Sulfah Muhtar, P. Pattaufi, Farida Febriati
et al.
Rapid advances greatly influence the world of education in technology, information, and communication. Teachers must be able to use technology to create innovative and effective learning. This research aims to identify the need for digital books, design the development of digital books, and measure the validity, practicality, and effectiveness of digital books. This research uses research and development methods focused on developing digital books. The development model refers to the ADDIE development model with five stages: analysis, design, development, implementation, and evaluation. The research was conducted at SMP IT As-Sunnah Makassar with 30 research students, 1 Fiqh subject teacher, and two validators. The digital book developed was declared very valid by media content/design experts and valid by material experts. The level of practicality was measured from questionnaire responses by teachers and students. Both assessments stated that it was convenient. The level of effectiveness of digital books is measured by pretest and posttest, which shows an increase in learning outcomes and that they are declared very effective. Based on the analysis results, it can be concluded that the development of digital fiqh books can be used in the learning process.
Abstrak
Dunia pendidikan sangat dipengaruhi oleh kemajuan pesat dalam teknologi, informasi dan komunikasi. Guru harus mampu menggunakan teknologi untuk membuat pembelajaran inovatif dan efektif. Penelitian ini bertujuan untuk mengidentifikasi kebutuhan buku digital, mendesain pengembangan buku digital dan mengukur tingkat validitas, kepraktisan, dan keefektifan buku digital. Penelitian ini menggunakan metode penelitian pengembangan (Research and Development) yang difokuskan untuk mengembangkan buku digital. Model pengembangan yang digunakan mengacu pada model pengembangan ADDIE dengan lima tahapan; analysis, design, development, implement, dan evaluate. Penelitian dilaksanakan di SMP IT As-Sunnah Makassar dengan penelitian 30 siswa, 1 orang guru mata pelajaran Fiqih, dan 2 orang validator. Buku digital yang dikembangkan dinyatakan sangat valid oleh ahli isi media/desain dan valid oleh ahli materi. Tingkat kepraktisannya diukur dari angket respon oleh guru dan siswa, dari kedua penilaian dinyatakan sangat praktis. Tingkat keefektifan buku digital diukur dengan pretest dan posttest yang menunjukkan terjadinya peningkatan hasil belajar sehingga dinyatakan sangat efektif. Berdasarkan hasil analisis dapat disimpulkan bahwa pengembangan buku digital fiqih dapat digunakan dalam proses pembelajaran.
Kata Kunci: buku digital; fiqih; hasil belajar
Yossi Ben-Zion, Roi Einhorn Zarzecki, Joshua Glazer
et al.
Seemingly we are not so far from Star Trek's food replicator. Generative artificial intelligence is rapidly becoming an integral part of both science and education, offering not only automation of processes but also the dynamic creation of complex, personalized content for educational purposes. With such advancement, educators are now crafting exams, building tutors, creating writing partners for students, and developing an array of other powerful tools for supporting our educational practices and student learning. We share a new class of opportunities for supporting learners and educators through the development of AI-generated simulations of physical phenomena and models. While we are not at the stage of "Computer: make me a mathematical simulation depicting the quantum wave functions of electrons in the hydrogen atom", we are not far off.
This study aims to identify the level of science misconceptions about plant parts and their function in fourth-grade students of Batumarta Public Elementary School. This study uses descriptive research with the quantitative method. The research was conducted at Batumarta Public Elementary School. The sampling using a saturated sampling technique. The sample of this study consisted of 28 students. The data collection instrument used two-tier multiple-choice questions that had previously been tested for construct validation with biologists, other lecturers, or supervisors. The data analysis technique uses data grouping and data interpretation. This misconception will be identified using a diagnostic test with a research instrument in the form of two-tier multiple-choice questions. Based on the results of the study, it was found that students who experienced misconceptions in the material of plant parts and their functions in the category of knowing concepts as much as 16.42%, students in the category of pure misconceptions as much as 18.03%, student category of misconceptions guessing as much as 15.88%, and students in the category of not understanding as much as 49.63%. the conclusion was that the students of Batumarta Public Elementary School experienced misconceptions in the very low category, namely as much as 18.03%.
Kerstin Denecke, Robin Glauser, Daniel Reichenpfader
Recent developments related to tools based on artificial intelligence (AI) have raised interests in many areas, including higher education. While machine translation tools have been available and in use for many years in teaching and learning, generative AI models have sparked concerns within the academic community. The objective of this paper is to identify the strengths, weaknesses, opportunities and threats (SWOT) of using AI-based tools (ABTs) in higher education contexts. We employed a mixed methods approach to achieve our objectives; we conducted a survey and used the results to perform a SWOT analysis. For the survey, we asked lecturers and students to answer 27 questions (Likert scale, free text, etc.) on their experiences and viewpoints related to AI-based tools in higher education. A total of 305 people from different countries and with different backgrounds answered the questionnaire. The results show that a moderate to high future impact of ABTs on teaching, learning and exams is expected by the participants. ABT strengths are seen as the personalization of the learning experience or increased efficiency via automation of repetitive tasks. Several use cases are envisioned but are still not yet used in daily practice. Challenges include skills teaching, data protection and bias. We conclude that research is needed to study the unintended consequences of ABT usage in higher education in particular for developing countermeasures and to demonstrate the benefits of ABT usage in higher education. Furthermore, we suggest defining a competence model specifying the required skills that ensure the responsible and efficient use of ABTs by students and lecturers.
Education (General), Theory and practice of education
Generative AI technologies such as large language models show novel potentials to enhance educational research. For example, generative large language models were shown to be capable to solve quantitative reasoning tasks in physics and concept tests such as the Force Concept Inventory. Given the importance of such concept inventories for physics education research, and the challenges in developing them such as field testing with representative populations, this study seeks to examine to what extent a generative large language model could be utilized to generate a synthetic data set for the FCI that exhibits content-related variability in responses. We use the recently introduced ChatGPT based on the GPT 4 generative large language model and investigate to what extent ChatGPT could solve the FCI accurately (RQ1) and could be prompted to solve the FCI as-if it were a student belonging to a different cohort (RQ2). Furthermore, we study, to what extent ChatGPT could be prompted to solve the FCI as-if it were a student having a different force- and mechanics-related misconception (RQ3). In alignment with other research, we found the ChatGPT could accurately solve the FCI. We furthermore found that prompting ChatGPT to respond to the inventory as-if it belonged to a different cohort yielded no variance in responses, however, responding as-if it had a certain misconception introduced much variance in responses that approximate real human responses on the FCI in some regards.
This study aims to examine the perspectives of students from the 2019 Health Physical Education and Recreation (PJKR) Program Study of the Faculty of Sport Science in State University of Malang regarding lectures using offline and online systems in the motion theory course and the martial arts practice course. The study used a quantitative descriptive survey design. The population of this study amounted to 227 students of the year 2019 PJKR Study Program. The sample of this study was 94 students and the analysis technique used was quantitative descriptive statistics. The results showed that student responses in offline lectures for theory courses were mostly positive as much as 94%, 79% positively agree with offline lectures for practical subjects, 70% respondents agree with online lectures for theory courses, and 89% students positively responded on online lectures for practical courses. Based on the research results obtained, it can be concluded that the response of the class of 2019 students to offline and online system lectures in theory and practice courses can be said to have been good and effective because they are in accordance with good learning principles.
The Covid-19 pandemic, since March 2020, has "challenged" early childhood education services, forcing them to work for a long period in emergency: regulations to contain the contagion have forced education professionals in the zero-to-six age group to rethink the educational relationship by downsizing the role of physical contact, revising spaces, methodologies and routines. Both during the closure of services (in 2020) and in the following two years, the use of digital technologies has been a necessity in order to be able to maintain contact with children (first) and families (later): the contribution, starting from the analysis of some experiences, reflects on the challenges opened up by the emergency and the new perspectives that are being inaugurated with a view to integrating digital experiences alongside traditional ones within educational services.
The article is devoted to the analysis of the state of readiness of heads of general secondary education institutions for innovative activities in the context of professional culture. The purpose of the study was to theoretically substantiate and experimentally test the state of readiness for innovation of heads of general secondary education institutions as part of professional culture. The hypothesis of the study was based on the premise that the readiness of GSEI leaders to implement innovative educational and management technologies is based on such a component of professional culture as continuous training in formal, non-formal and informal education. Objectives of the study: to analyze the state of readiness of the leaders of GSEI for innovation; experimentally prove the research hypothesis; identify the most important pedagogical conditions and make recommendations to increase the readiness of GSEI leaders to innovate at the level of GSEI. It was found that GSEI leaders have a sufficient and high level of readiness for innovation. The pedagogical conditions include the presence of positive motivation for professional development and self-development of GSEI leaders in the conditions of formal, non-formal and informal postgraduate education. The necessity of creation and implementation in each GSEI of the program and methods of development of readiness for innovative activity of pedagogical collective which would be directed on improvement of professional-pedagogical, scientific-methodical and administrative skill and self-educational activity of heads and teachers is proved. An important recommendation is to create a modern communicative environment in GSEI, in which the subject-subject interaction of the head with teachers in the system of «tutoring – coaching» will take place. We see the prospect of scientific research in the development of innovative technologies, forms and methods of professional development of leaders of GSEI in the context of globalization of education.
Game dynamics theory, as a field of science, the consistency of theory and experiment is essential. In the past 10 years, important progress has been made in the merging of the theory and experiment in this field, in which dynamics cycle is the presentation. However, the merging works have not got rid of the constraints of Euclidean two-dimensional cycle so far. This paper uses a classic four-strategy game to study the dynamic structure (non-Euclidean superplane cycle). The consistency is in significant between the three ways: (1) the analytical results from evolutionary dynamics equations, (2) agent-based simulation results from learning models and (3) laboratory results from human subjects game experiments. The consistency suggests that, game dynamic structure could be quantitatively predictable, observable and controllable in general.
Decifrar um modelo das coisas perpassa por três circunstâncias observáveis: intuição, deliberação e tomada de decisão. Segundo Jaques Lacan, o tempo lógico é definido em três atos: o instante de ver, o tempo de compreender e o momento de concluir. A interpretação de um modelo matemático segue em três partes analisáveis: a noção intuitiva, o pensamento matemático e a resolução do problema. Este estudo objetivou identificar as verdadeiras relações entre os princípios da descodificação de um modelo da natureza, as etapas de execução do tempo lógico de Lacan e a as fases da explicação de um modelo matemático. A ordem é ressignificar o processo de ensino e aprendizagem de matemática utilizando uma abordagem Lacaniana. Abordagens pedagógicas que fortalecem a intuição e o pensamento matemático são indispensáveis para aprimorar o desenvolvimento metacognitivo do sujeito envolvido.
Special aspects of education, Theory and practice of education
This paper aims to highlight the importance and the possibilities of developing creativity and creative thinking in mathematics instruction. One of the key tasks of the educational process in schools is the stimulation and development of students' creative abilities. Students' creative abilities and divergent forms of working with them are not restricted to specific areas and fields of human activity; rather, it is a matter of the specific and distinctive qualities of the development of creativity and creative expression in certain areas, or school subjects. The paper examines the need and the possibilities of developing creative thinking in children of primary school age and in mathematics instruction in the lower and upper grades of primary school, since creativity is not linked exclusively to art or certain fields or school subjects, nor is it the privilege only of gifted and talented children and students.