Preventing Teacher and Counselor Burnout: Self-Care in Training Programs
A Study of Intervention Math Labs and STAAR Math Growth Scores in a South Texas Rural Middle School
Turkish EFL Teachers' Perceptions of their Pedagogical Digital Competence in an EFL Setting
Brief Report: Targeting the Social Communication Skills of an Autistic Adolescent with a Co-Occurring ADHD Diagnosis using Two Formats of a Social Story
The Effectiveness of GeoGebra Assisted Learning on Students' Mathematical Representation: A Meta-Analysis Study
Towards Quality Higher Education in the Arab World: Challenges of the Present and Aspirations of the Future
Edification Of Multimedia Resources: Aligning Technology For Student Empowerment
Continuous Classroom Assessment At Primary Level
Impact of Computer Technology on Design And Craft Education
Improving Quality In Teaching Statistics Concepts Using Modern Visualization: The Design And Use Of The Flash Application On Pocket PCs
The Roles of Artificial Intelligence in Education: Current Progress and Future Prospects
The Role of Web-Based Simulations In Technology Education
Development Of Learning Resources To Promote Knowledge Sharing In Problem Based Learning
Fishing For Learning With A Podcast Net
An Orientation Assistant (OA) for Guiding Learning through Simulation of Electronics Technology in Technology Education
This study investigates the transformative potential of integrating Artificial Intelligence (AI), animation, and personalized learning in contemporary education. Employing a mixed-methods approach involving interviews and experimental manipulations, the research examines the interconnectedness of these three domains and their collective impact on student engagement and English reading comprehension learning outcomes. The study employed a quasi-experimental design. Participants engaged in an 8-week AI-driven personalized learning intervention that incorporated animated content, with pre- and post-test assessments evaluating reading comprehension outcomes. Qualitative data from interviews provided further insight into the impact of animation and personalized learning on student engagement and comprehension. Findings reveal that AI-driven personalized learning, coupled with engaging animations, leads to enhanced learner motivation, improved knowledge retention, and higher academic performance. The integration of these elements creates an inclusive and adaptable learning environment, addressing the diverse needs of students. This research highlights the significance of interdisciplinary collaboration in educational innovation and emphasizes the vast potential that lies at the intersection of AI, animation, and personalized learning to revolutionize 21st-century education.
The current research is based on two educational changes introduced in an English class for prospective medical doctors. These changes involved a shift in the educational process: first, adopting an English for Medical Purposes (EMP)- based approach that emphasizes communicative skills, designed following a comprehensive needs assessment due to its special focus on EMP. Second, the class was moved to an online platform, delivered both synchronously and asynchronously. Grounded in qualitative case study research, this study aims to explore the perceived usefulness of implementing such an EMP-based English class in an electronic delivery mode by examining the reflections, evaluations, and experiences of English lecturers throughout the course. Evidence was gathered from various sources, including weekly meetings, mobile group chats, informal telephone interviews, and online journals. Overall, the findings indicated that while the change in the program's course content, with its focus on communicative competence in EMP, was highly appreciated, the electronic delivery mode specifically its new educational environment received relatively less positive feedback. Lessons learned from this experience within the context of EMP may benefit future curriculum designers, course teachers, and other stakeholders interested in similar educational innovations.
This paper aims to conduct an in-depth analysis of studies on the relationship between reading and writing skills and digital literacy at the K-12 level, following the PRISMA statement. The analysis included examining subjects, aims, digital materials, methodologies, and learning outcomes of relevant studies. Data were collected from the Web of Science database based on specified inclusion criteria. In total, 23 empirical studies were analyzed: 6 articles exploring the relationship between writing and digital literacy skills, and 17 articles examining the relationship between reading and digital literacy skills. The relationship between reading skills and digital literacy was explored in several contexts: the impact of digital texts on reading processes, comprehension and interpretation skills, effects of digital technologies on traditional reading methods, the influence of digital graphic novels on reading processes, and early literacy education. Findings indicated a relationship between writing skills and digital literacy, covering topics such as digital technologies in traditional writing, critical discourse analysis, writing skills in new media, and writing practices. Various digital tools were employed to enhance reading, writing, and digital literacy skills, including digital tablets, computer software, comics, educational videos, e-books, picture books, digital novels, voice recorders, and mobile devices. The majority of studies utilized qualitative and mixed methods; no studies employed quantitative methods. Overall, these findings highlight the interplay between reading, writing, and digital literacy skills at the K-12 level, providing a foundation for future research.
The study explores the significance of blended learning in higher education, particularly at Ravenshaw University in India. It aims to investigate the effectiveness of blended learning during the COVID-19 pandemic, its impact on the learning process, its suitability for large student groups, and the role of online resources. The study employs a purely qualitative approach and utilizes a descriptive survey design to understand the effectiveness of blended learning as perceived by postgraduate students of Ravenshaw University in their learning process. A sample of 40 students was purposively selected for this study. Data collection involved the use of an open-ended questionnaire, which was analyzed through thick description. The results highlight the adaptability and transformative potential of blended learning, particularly during crises, while also identifying challenges such as the need for basic technical knowledge. The study emphasizes the necessity for institutions to invest in infrastructure, address equity and accessibility concerns, and prioritize faculty development to effectively integrate blended learning into higher education. Embracing blended learning offers an opportunity to create a more inclusive, innovative, and resilient learning environment. However, sustained investment in infrastructure, resources, and professional development remains essential for its successful integration.
Artificial intelligence technology has become widely used in many industries, including healthcare, agriculture, banking, social security, and home furnishings, due to the rise and development of this discipline. One of the newest areas of technology in the education industry is AI in Education, where extensive research supports instructional procedures. Artificial intelligence can analyze human data using feature engineering or feature learning, handling data irrespective of a specific model. Education is a crucial component of the evolution of civilization, encompassing methodology, substance, concepts, and models. Engineers can design, build, and enhance artificial intelligence systems that mimic human intellect and possess intelligence akin to the human brain using basic AI algorithms. This paper aims to provide an overview of AI applications in higher education institutions. The use of AI in education has significantly transformed educational standards. To prepare individuals for a future driven by AI, the study examines various AI applications, emphasizing the critical role that public institutions play in supporting AI skills development, forming alliances, and sponsoring academic achievements.
