Taking the next step with generative artificial intelligence: The transformative role of multimodal large language models in science education

Learning and Individual Differences, Год журнала: 2025, Номер 118, С. 102601 - 102601

Опубликована: Янв. 10, 2025

Язык: Английский

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Let's Talk About EdTech! A Topic Modelling Analysis of AI Tools and Pre‐Service Teachers' Perspectives

European Journal of Education, Год журнала: 2025, Номер 60(1)

Опубликована: Янв. 7, 2025

ABSTRACT This study examines pre‐service teachers' understanding of technology integration and the role AI tools in shaping this perspective. Open‐ended responses, analysed using topic modelling, reveal main themes views compare them with topics generated by like ChatGPT, Gemini, Bing AI. Key responses include improving learning quality, adapting to technology, integrating it into education. ChatGPT highlights effective learning, student support, educational while Gemini emphasises accessibility, innovative methods, AI‐supported learning. focuses on practical materials, digital experiences, technological compatibility. Coherence scores show moderate alignment, achieving highest scores, followed Gemini. These findings shed light perceptions how can influence these views, offering insights for future policies practices.

Язык: Английский

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Applications of generative artificial intelligence in the teaching of customs and international law

Región Científica, Год журнала: 2025, Номер unknown

Опубликована: Янв. 3, 2025

This academic work explores the use of generative AI through Chatbot GPT, Gemini, Copilot, and Meta in teaching customs international law. analysis was carried out with a particular focus on education free trade agreements primary laws Mexico. The study's main findings show that Copilot is valuable tool for searching specific information articles trade. purpose achieved by applying prompts to obtain content question. Likewise, favorable results were obtained cases GPT AI. On other hand, Gemini showed unfavorable because it only general topics requested even provided erroneous information. These types tools allow students make more efficient searches save time when However, they can present or force them delve deeper into subject.

Язык: Английский

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Asking Generative Artificial Intelligence the Right Questions Improves Writing Performance

Computers and Education Artificial Intelligence, Год журнала: 2025, Номер 8, С. 100374 - 100374

Опубликована: Фев. 28, 2025

Язык: Английский

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Grading explanations of problem-solving process and generating feedback using large language models at human-level accuracy

Physical Review Physics Education Research, Год журнала: 2025, Номер 21(1)

Опубликована: Март 27, 2025

This study examines the feasibility and potential advantages of using large language models, in particular GPT-4o, to perform partial credit grading numbers student written responses introductory level physics problems. Students were instructed write down verbal explanations their reasoning process when solving one conceptual two numerical calculation problems on exams. The then graded according a three-item rubric with each item as binary (1 or 0). We first demonstrate that machine GPT-4o no examples reference answers can reliably agree human graders 70%–80% all cases, which is equal higher than at other. Two methods are essential for achieving this accuracy: (i) Adding explanation targets errors initial grading. (ii) Running 5 times taking most frequent outcome. Next, we show variation outcomes across five attempts serve confidence index. index allows expert identify ∼40% potentially incorrect gradings by reviewing just 10%–15% highest variation. Finally, it straightforward use clear detailed Those be used feedback students, will allow students understand grades raise different opinions necessary. Almost messages generated rated three above five-point scale instructors who had taught course multiple times. entire generating costs roughly $5 per 100 answers, shows immense promise automating labor-intensive through combination input supervision. Published American Physical Society 2025

Язык: Английский

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Enhancement and assessment in the AI age: An extended mind perspective

Journal of Pacific Rim Psychology, Год журнала: 2025, Номер 19

Опубликована: Янв. 1, 2025

On the verge of AI Age—the Mechanocene—we tend to reproduce past narratives where humans are replaced by machines. This leads us identifying skills and activities that will not be automated soon, prepare both current future generations for those ‘safe’ occupations. However, there is risk set non-automatable tasks becomes empty sooner than expected, preparing new needed in end. Instead this incremental route, paper we imagine a final destination has all have. We argue an age can intensively assisted, augmented coupled with AI, need rethink enhancement assessment under extended mind thesis—a philosophical theory suggesting technological tools become integral parts our cognitive processes. Under perspective, still identify useful age, especially if want understand influence their world. Then, these as goals education, reliably assess they achieved. world ubiquitous extenders generates enormous challenges individuals, when mostly operating part AI-human hybrids collectives. In context, individual, human or machine, must evaluated terms contribution human-machine teams expected embedded in. further takes education from traditional aspiration achieving fully autonomous reality more integrated interdependent scenarios age.

Язык: Английский

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Navigating the Future of Educational Research: Leveraging Generative AI for Improved Insights

The Clearing House A Journal of Educational Strategies Issues and Ideas, Год журнала: 2025, Номер unknown, С. 1 - 8

Опубликована: Янв. 11, 2025

This paper examines the transformative potential of Generative AI (GenAI) in enhancing data collection and analysis methodologies within educational research. By utilizing automated techniques such as web scraping sentiment analysis, researchers can efficiently gather substantial amounts while minimizing human error bias, thereby improving validity their findings. Furthermore, advanced analytical approaches, including predictive analytics natural language processing, enable deeper insights into complex phenomena that traditional methods may overlook. The underscores ethical considerations associated with GenAI, particularly concerning privacy, informed consent, bias mitigation. It advocates for ongoing innovation research to adapt these technological advancements highlights importance interdisciplinary collaboration refining practices. responsibly integrating enhance outcomes promote equitable learning experiences. Ultimately, this work encourages scholars reflect on future integration GenAI practices consider how innovations reshape landscape.

Язык: Английский

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Building Proficiency in GAI: Key Competencies for Success

Опубликована: Янв. 17, 2025

The rapid proliferation and adoption of generative Artificial Intelligence (GAI) underscores its ease use. However, there has been limited research exploring what constitutes proficient use GAI competencies underpin it. In this study, we adopt a grounded approach semi-structured interviews to explore how twenty-five expert users (all knowledge workers) define, exemplify, explain proficiency. A purposive sampling was adopted with the aim capturing input from experts range occupations sectors towards answering three questions. First, can identify characteristics that differentiate (more effective) GAI? Second, are seen underlie Third, benefits associated more tools? Analysis descriptions shared by revealed four aspects proficiency: effective prompting, informed responsible choices, diversity use, complexity frequency addition, following themes emerged analysis supporting GAI: literacy, domain expertise, communication skills, metacognition curiosity inquisitiveness, flexibility adaptability, diligence, (in some contexts) information technology skills. More have ranging improved productivity, higher quality output, original work. By offering comprehensive framework for GAI, in real-world experience, study guides further substantiates continuing relevance human knowledge, mindsets when working tools.

Язык: Английский

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Algorithmic - authors in academia: blurring the boundaries of human and machine knowledge production

Learning Media and Technology, Год журнала: 2025, Номер unknown, С. 1 - 14

Опубликована: Янв. 27, 2025

Язык: Английский

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Opportunities and Challenges in Harnessing Digital Technology for Effective Teaching and Learning

Trends in Higher Education, Год журнала: 2025, Номер 4(1), С. 6 - 6

Опубликована: Янв. 27, 2025

Most of today’s educators are in no shortage digital and online learning technologies available at their fingertips, ranging from Learning Management Systems such as Canvas, Blackboard, or Moodle, meeting tools, homework, tutoring systems, exam proctoring platforms, computer simulations, even virtual reality/augmented reality technologies. Furthermore, with the rapid development wide availability generative artificial intelligence (GenAI) services ChatGPT, we just beginning harnessing potential to transform higher education. Yet, facing large number options provided by cutting-edge technology, an imminent question on mind most is following: how should I choose integrate them into my teaching process so that they would best support student learning? We contemplate over these types important timely questions share our reflections evidence-based approaches tools using a Self-regulated Engaged Framework have employed research physics education can be valuable for other disciplines.

Язык: Английский

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