Jinhee Kim

Abstract Preparing students to collaborate with AI remains a challenging goal. As AI technologies are new to K-12 schools, there is a lack of studies that inform how to design learning when AI is introduced as a collaborative learning agent to classrooms. The present study, therefore, aimed to explore teachers’ perspectives on what (1) curriculum design, (2) student-AI interaction, and (3) learning environments are required to design student-AI collaboration (SAC) in learning and (4) how SAC wou

Abstract The rapid development of generative artificial intelligence (GenAI), including large language models (LLM), has merged to support students in their academic writing process. Keeping pace with the technical and educational landscape requires careful consideration of the opportunities and challenges that GenAI-assisted systems create within education. This serves as a useful and necessary starting point for fully leveraging its potential for learning and teaching. Hence, it is crucial to

For scaling up pedagogical innovation with information and communications technology (ICT), governments around the world put a concerted effort into teachers’ acceptance of ICTs and the actual use of ICTs for instruction, yet there is limited literature about the conceptual framework of teachers accepting the ICTs and their usage for instruction typically in the Asia-Pacific region. To fill such gaps in the current literature, this study aims to construct a conceptual model of teachers’ effectiv

The microbiome has emerged as a key player contributing significantly to the human physiology over the past decades. The potential microbial niche is largely unexplored in the context of exercise enhancing capacity and the related mitochondrial functions. Physical exercise can influence the gut microbiota composition and diversity, whereas a sedentary lifestyle in association with dysbiosis can lead to reduced well-being and diseases. Here, we have elucidated the importance of diverse microbiota

Abstract The advancing power and capabilities of artificial intelligence (AI) have expanded the roles of AI in education and have created the possibility for teachers to collaborate with AI in classroom instruction. However, the potential types of teacher-AI collaboration (TAC) in classroom instruction and the benefits and challenges of implementing TAC are still elusive. This study, therefore, aimed to explore different types of TAC and the potential benefits and obstacles of TAC through Focus

The increase of generative artificial intelligence (GenAI) in education has emphasized prompt literacy and design, influencing the experience of GenAI-assisted learning. However, there is limited understanding regarding the various prompt patterns that emerge during student-GenAI interaction (SAI) within the context of navigating learning tasks at different levels of AI Literacy or how these patterns are associated with task performance. This study analyzed 19 university students’ prompt pattern

Two cross-cultural studies were conducted to explore how affective states from viewing favorite entertainment messages vary as a function of culture. Koreans were more likely than U.S. Americans to prefer entertainment messages that induce conflicting responses (e.g., feeling positive and negative, laughing and crying). Furthermore, this cultural difference was larger for positively valenced (i.e., comedy) than for negatively valenced message (i.e., sad films). Naive dialecticism held by East As

Educators expect artificial intelligence (AI) to augment student capabilities and rapidly transform teaching and learning practices. However, little is known about students’ perceptions of AI and what they expect from AI in student-AI teaming. There is a lack of holistic understanding of the nature, effects, and areas of improvement in teamwork by students and AI on learning. This study aims to explore students’ perceptions and experiences about student-AI collaboration (SAC) to provide effectiv

Although the constitutively activated break-point cluster region-Abelson (ABL) tyrosine kinase is known to cause chronic myelogenous leukemia (CML), the prevalence of drug-resistant ABL mutants has made it difficult to develop effective anti-CML drugs. With the aim to identify new lead compounds for anti-CML drugs, we carried out a structure-based de novo design using the scoring function improved by implementing an accurate solvation free energy term. This approach led to the identification of

Recent advances and applications of artificial intelligence (AI) have increased the opportunities for students to interact with AI in their learning tasks. Although various fields of scholarly research have investigated human-AI collaboration, the underlying processes of how students collaborate with AI in a student-AI teaming scenario have been scarcely investigated. To develop effective AI applications in education, it is necessary to understand differences in the student-AI interaction (SAI)

Abstract Considering both the transformative opportunities and challenges presented by generative AI (GenAI) in academic writing, effectively integrating GenAI into the academic setting becomes a significant need requiring prioritization. Yet, there is limited understanding regarding the nature of interactions between different types of students, what behavioral patterns students exhibit during a student-GenAI interaction (SAI) on a given task, and how these different SAI patterns relate to the

Leaf senescence is a developmentally programmed event, but the initiation and progression of leaf senescence are affected by a range of plant hormones including abscisic acid (ABA),ethylene and methyl jasmonate (MeJA). To investigate plant hormone crosstalk during leaf senescence, hormone-induced senescence phenotypes were analyzed in three leaf senescence mutants [ore1 (oresara1), ore3 and ore9] showing delayed senescence phenotypes in age-dependent and dark-induced senescence. The ore mutants

Adenophora triphylla is commonly used in food materials and oriental medicine as an analgesic, anti-inflammatory, and antitussive. In the present study, the leaves and roots of A. triphylla were extracted with water and ethanol, respectively, to examine the extracts' in vitro antioxidant activities and total phenolic contents, as well as A. triphylla's potential as a new functional food source and safe and inexpensive supply of antioxidants. Different antioxidant tests were employed and the resu