Abstract ChatGPT is an artificial intelligence chatbot that utilizes advanced natural language processing technologies, including large models, to produce human‐like responses user queries spanning a wide range of topics from programming mathematics. As emerging generative (GAI) tool, it presents novel opportunities and challenges the ongoing digital transformation education. This article employs systematic review approach summarize viewpoints Chinese scholars experts regarding...

Biochar is a kind of organic matter that can be added into the soil as amendment to improve its quality. What are effects using biochar on purple and soybeans? Can use reduce fertilizers? This our concern. Therefore, we carried out this study. The objectives study were evaluate biochar, inorganic fertilizer application plant growth, chlorophyll content, photosynthetic gas exchange, yield soybean well fertility microbial community in soil, appraise possible reduction rate under application. A...

ChatGPT has received considerable attention in education, particularly programming education because of its capabilities automated code generation and program repairing scoring. However, few empirical studies have investigated the use to customize a learning system for scaffolding students' computational thinking. Therefore, proposed here is an intelligent using following theoretical framework thinking scaffolding. A mixed-method study was conducted investigate affordance ChatGPT, findings...

Organic fertilizer can help replenish fertility in cropland and reduce the use of chemical fertilizers, with biochar is an important soil conditioner. Under premise reduction, whether application organic affect yield nutrient absorption utilization wheat? In this experiment, 7 treatments were set up a randomized field trial each treatment repeated three times: (1) CK1: no fertilizer; (2) CK2: 100% inorganic (3) T1: recommended amount (4) T2: 80% (5) T3: (6) T4: 60% (7) T5: fertilizer. The...

Biochar is a kind of organic matter that can be added into soil to improve quality. To study the effect biochar combined with and inorganic fertilizers on rapeseed growth purple fertility microbial community, completely randomized block design was designed three levels (B0: no biochar, B1: low-rate B2: high-rate biochar); two (F1: fertilizer; F2: fertilizer); (M1: M2: fertilizer). All combinations were repeated times. The application could pH, community richness: pH B1F2M1 increased 0.41...

Many electronic feedback systems have been proposed for writing support. However, most of these only aim at supporting to communicate instead learn, as in the case literature review writing. Trigger questions are potentially forms support but current automatic question generation approaches focus on factual reading comprehension or vocabulary assessment. This article presents a novel Automatic Question Generation (AQG) system, called G-Asks, which generates specific trigger form students'...

Writing an essay is a very important skill for students to master, but difficult task them overcome. It particularly true English as Second Language (ESL) in China. would be useful if could receive timely and effective feedback about their writing. Automatic generation challenging task, which requires understanding the relationship between text features of feedback. In this study, we first analyzed 1,290 teacher comments on 327 Englishmajor annotated seven aspects writing, including grammar,...

Obtaining training data for multi-document Summarization (MDS) is time consuming and resource-intensive, so recent neural models can only be trained limited domains. In this paper, we propose SummPip: an unsupervised method summarization, in which convert the original documents to a sentence graph, taking both linguistic deep representation into account, then apply spectral clustering obtain multiple clusters of sentences, finally compress each cluster generate final summary. Experiments on...

Engagement is critical to the success of learning activities such as writing, and can be promoted with appropriate feedback. Current engagement measures rely mostly on data collected by observers or self-reported participants. In this paper, we describe a analytic system called Tracer, which derives behavioral creates visualizations patterns students writing cloud-based application. The tool records intermediate stages document development uses measure learners' derive three visualizations....

Question generation is an emerging research area of artificial intelligence in education. authoring tools are important educational technologies, e.g., intelligent tutoring systems, as well dialogue systems. Approaches to generate factual questions, i.e., questions that have concrete answers, mainly make use the syntactical and semantic information a declarative sentence, which then transformed into questions. Recently, some has been conducted investigate Chinese question with limited...

Long-document semantic measurement has great significance in many applications such as searchs, plagiarism detection, and automatic technical surveys. However, research efforts have mainly focused on the similarity of short texts. Document-level remains an open issue due to problems omission background knowledge topic transition. In this paper, we propose a novel matching method for long documents academic domain. To accurately represent general meaning article, construct profile which key...

To investigate the adversity quotient (AQ) of Macao undergraduate nursing students and analyse its influencing factors. A cross-section design was used, a convenience sample (n = 158 valid) selected from tertiary institute in Macao. In addition to demographic questions, Chinese versions Adversity Quotient Scale, Emotional Intelligence (EI) Simplified Coping Style Questionnaire Parenting Styles Scale were used assess students' characteristics. The average AQ score 116.72 ± 11.39. scores...

Large language models (LLMs) have shown remarkable capabilities in natural processing. However, knowledge graph question answering tasks (KGQA), there remains the issue of questions that require multi-hop reasoning. Existing methods rely on entity vector matching, but purpose is abstract and difficult to match with specific entities. As a result, it establish reasoning paths purpose, which leads information loss redundancy. To address this issue, inspired by human reverse thinking, we...

Automatic question generation can help teachers to save the time necessary for constructing examination papers. Several approaches were proposed automatically generate multiple-choice questions vocalbuary assessment or grammar exercises. However, most of these studies focused on generating in English with a certain similarity strategy. This paper presents mixed strategy which generates Chinese multiple choice distractors statistical regression model including orthographic, phonological and...