International Journal of Educational Research Open, Год журнала: 2023, Номер 5, С. 100296 - 100296
Опубликована: Окт. 20, 2023
Artificial Intelligence (AI) and academic essay writing merge to create a transformative intersection in education, each reciprocally refining reforming the other. AI, through its innovative technologies flexible learning strategies, elevates by offering dynamic, interactive settings, personalized educational journeys. This study aimed explore students' perceptions of AI usage using case design. It involved 245 undergraduate students from 25 tertiary institutions Eastern Central Indonesian provinces, with data collected via Google form gain insights into attitudes toward tools essays. Findings indicated positive reception AI-powered tools, acknowledging their benefits grammar checks, plagiarism detection, language translation, outlines. was found enhance abilities, self-efficacy, understanding integrity. However, some expressed concerns about potential impacts on creativity, critical thinking, ethical practices. The emphasized balanced approach integration, where collaborates human authors, also identified popular used students. As such, research highlighted AI's significant role supporting while preserving creativity underscoring importance maintaining integration sustain ingenuity thought discourse.
Язык: Английский
Процитировано
140
International Journal of Educational Technology in Higher Education, Год журнала: 2024, Номер 21(1)
Опубликована: Фев. 16, 2024
Abstract While the discussion on generative artificial intelligence, such as ChatGPT, is making waves in academia and popular press, there a need for more insight into use of ChatGPT among students potential harmful or beneficial consequences associated with its usage. Using samples from two studies, current research examined causes usage university students. Study 1 developed validated an eight-item scale to measure by conducting survey (N = 165). 2 used three-wave time-lagged design collect data 494) further validate test study’s hypotheses. also effects academic workload, time pressure, sensitivity rewards, quality students’ levels procrastination, memory loss, performance. provided evidence validity reliability scale. Furthermore, study revealed that when faced higher workload they were likely ChatGPT. In contrast, who sensitive rewards less Not surprisingly, was develop tendencies procrastination loss dampen Finally, had indirect outcomes through
Язык: Английский
Процитировано
106
GSC Advanced Research and Reviews, Год журнала: 2024, Номер 18(2), С. 261 - 271
Опубликована: Фев. 20, 2024
The integration of Artificial Intelligence (AI) in education has ushered a transformative era, redefining traditional teaching and learning methods. This review explores the multifaceted role AI education, with particular focus on personalized educational technology. synergy between promises to address individualized needs, enhance student engagement, optimize outcomes. Personalized learning, enabled by algorithms, tailors experiences unique preferences, pace each student. approach goes beyond one-size-fits-all model, fostering more inclusive effective environment. delves into diverse applications AI-driven ranging from adaptive content delivery real-time feedback intelligent tutoring systems. It analyzes impact these technologies performance, highlighting potential narrow gaps cater styles. Educational technology, powered AI, extends classroom, encompassing online platforms, virtual reality, interactive tools. curriculum development, creation, assessment methods, offering insights how augment experience. Furthermore, examines automating administrative tasks, allowing educators redirect their towards instruction. Challenges ethical considerations associated adoption are also scrutinized. Privacy concerns, algorithmic biases, digital divide discussed, emphasizing importance responsible implementation. underscores need for collaborative efforts among educators, policymakers, technologists establish guidelines ensure equitable distribution AI-enhanced resources. provides comprehensive examination evolving landscape spotlight As symbiosis continues evolve, this synthesis current research trends aims guide future developments, an informed progressive sphere.
Язык: Английский
Процитировано
103
Data and Information Management, Год журнала: 2024, Номер 8(2), С. 100066 - 100066
Опубликована: Фев. 15, 2024
Generative artificial intelligence (GAI) is a rapidly growing field with wide range of applications. In this paper, thorough examination the research landscape in GAI presented, encompassing comprehensive overview prevailing themes and topics within field. The study analyzes corpus 1319 records from Scopus spanning 1985 to 2023 comprises journal articles, books, book chapters, conference papers, selected working papers. analysis revealed seven distinct clusters research: image processing content analysis, generation, emerging use cases, engineering, cognitive inference planning, data privacy security, Pre-Trained Transformer (GPT) academic paper discusses findings identifies some key challenges opportunities research. concludes by calling for further GAI, particularly areas explainability, robustness, cross-modal multi-modal interactive co-creation. also highlights importance addressing security responsible GAI.
Язык: Английский
Процитировано
58
Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(4), С. 1415 - 1430
Опубликована: Апрель 17, 2024
This systematic review explores the advancements and challenges associated with integration of artificial intelligence (AI) in promoting technical literacy. Technical literacy is increasingly important today's digital age, where understanding utilizing technology are essential skills. AI has potential to enhance by providing personalized learning experiences, facilitating hands-on learning, offering innovative tools resources. However, education also presents challenges, such as ensuring equitable access, addressing ethical considerations, overcoming barriers. The examines a range studies literature related for literacy, focusing on key themes tools. It highlights transform tailored experiences that cater individual needs preferences. AI-driven tools, simulations, virtual laboratories, intelligent tutoring systems, have been shown student engagement concepts. Despite benefits, identifies integration, including need teacher training, concerns about data privacy, risk reinforcing existing inequalities. Addressing these requires careful planning, collaboration between educators developers, commitment access educational Overall, this provides insights into current state opportunities approach. By leveraging AI, can prepare students success technology-driven world. Keywords: Advancement, Challenges, Integration, Literacy.
Язык: Английский
Процитировано
45
Open Praxis, Год журнала: 2023, Номер 15(4), С. 261 - 270
Опубликована: Янв. 1, 2023
In the rapidly evolving landscape of education, pivotal axis around which transformation revolves is human-AI interaction. this sense, paper adopts a data mining and analytic approach to understand what related literature tells us regarding trends patterns generative AI research in educational praxis. Accordingly, systematic exploration spotlights following themes: Interaction communication with AI-powered chatbots; impact LLMs on teaching learning, conversational agents their opportunities, challenges, implications; leveraging Generative for enhancing social cognitive learning processes; promoting literacy unleashing future opportunities; harnessing expand academic capabilities, lastly, augmenting experiences through Beyond identified themes patterns, argues that emotional intelligence, literacy, prompt engineering are trending topics require further exploration. it's praxis intelligence emerges as attribute, systems' ability discern respond nuanced cues plays substantial role efficacy interactions. then takes center stage, becoming an indispensable asset era permeated technologies, equipping students tools critically engage systems, thereby ensuring they become active, discerning users these powerful tools. Concurrently, engineering, art crafting queries yield precise valuable responses from empowers both educators maximize utility AI-driven resources.
Язык: Английский
Процитировано
41
Journal of University Teaching and Learning Practice, Год журнала: 2024, Номер 21(06)
Опубликована: Апрель 19, 2024
Recent developments in Generative Artificial Intelligence (GenAI) have created a paradigm shift multiple areas of society, and the use these technologies is likely to become defining feature education coming decades. GenAI offers transformative pedagogical opportunities, while simultaneously posing ethical academic challenges. Against this backdrop, we outline practical, simple, sufficiently comprehensive tool allow for integration tools into educational assessment: AI Assessment Scale (AIAS). The AIAS empowers educators select appropriate level usage assessments based on learning outcomes they seek address. greater clarity transparency students educators, provides fair equitable policy institutions work with, nuanced approach which embraces opportunities recognising that there are instances where such may not be pedagogically or necessary. By adopting flexible can implemented quickly, form much-needed starting point address current uncertainty anxiety regarding education. As secondary objective, engage with literature advocate refocused discourse education, one foregrounds how help support enhance teaching learning, contrasts focus as facilitator misconduct.
Язык: Английский
Процитировано
27
Medical Teacher, Год журнала: 2024, Номер 46(6), С. 752 - 756
Опубликована: Янв. 29, 2024
The custom GPT is the latest powerful feature added to ChatGPT. Non-programmers can create and share their own GPTs ("chat bots"), allowing Health Professions Educators apply capabilities of ChatGPT administrative assistants, online tutors, virtual patients, more, support clinical non-clinical teaching environments. To achieve this correctly, however, requires some skills, 12-Tips paper provides those: we explain how construct data sources, build relevant GPTs, basic security.
Язык: Английский
Процитировано
25
Education Sciences, Год журнала: 2024, Номер 14(6), С. 636 - 636
Опубликована: Июнь 13, 2024
The use of generative artificial intelligence (GenAI) in academia is a subjective and hotly debated topic. Currently, there are no agreed guidelines towards the usage GenAI systems higher education (HE) and, thus, it still unclear how to make effective technology for teaching learning practice. This paper provides an overview current state research on HE. To this end, study conducted systematic review relevant studies indexed by Scopus, using preferred reporting items reviews meta-analyses (PRISMA) guidelines. search criteria revealed total 625 papers, which 355 met final inclusion criteria. findings from showed future trends documents, citations, document sources/authors, keywords, co-authorship. gaps identified suggest that while some authors have looked at understanding detection AI-generated text, may be beneficial understand can incorporated into supporting educational curriculum assessments, teaching, delivery. Furthermore, need additional interdisciplinary, multidimensional HE through collaboration. will strengthen awareness students, tutors, other stakeholders, instrumental formulating guidelines, frameworks, policies usage.
Язык: Английский
Процитировано
25
Sustainability, Год журнала: 2024, Номер 16(14), С. 6118 - 6118
Опубликована: Июль 17, 2024
Artificial intelligence (AI) advances and the rapid adoption of generative AI tools, like ChatGPT, present new opportunities challenges for higher education. While substantial literature discusses in education, there is a lack systems approach that captures holistic view structure dynamics transformation education institutions (HEIs). To fill this gap, article develops causal loop diagram (CLD) to map feedback mechanisms typical HEI. We identify important variables their relationships multiple reinforcing balancing loops accounting forces drive its impact on value creation The model shows how, motivated by technology advances, HEI can invest improve student learning, research, administration while dealing with academic integrity problems adapting job market changes emphasizing AI-complementary skills. explore insights, scenarios, policy interventions recommend leaders become thinkers manage complexity benefit from avoiding traps may lead decline. also discuss notion HEIs influencing direction directions future research sustainability HEIs.
Язык: Английский
Процитировано
18