Abstract Artificial intelligence (AI) provides new opportunities for K-12 English as foreign language (EFL) teachers to improve their teaching. To address the emerging trend of integrating AI into teaching, this study investigated EFL teachers’ perceptions, knowledge, and behavioral intention use support teaching learning in middle schools. This combined relevant aspects Unified Theory Acceptance Use Technology (UTAUT) Technological Pedagogical Content Knowledge (TPACK) theoretical basis. A...

AbstractTo address the emerging trend of language learning with Artificial Intelligence (AI), this study explored junior and senior high school students' behavioral intentions to use AI in second (L2) learning, roles related technological, social, motivational factors. An eight-factor survey was constructed using a 5-point Likert scale. A total 524 valid responses were collected, including 280 from students 244 students. The reliability validity scale satisfactory. technological social...

Abstract Despite the importance of artificial intelligence (AI) for university students to thrive in future workplace, few studies have been conducted assess and foster their intentions learn AI. Guided by situated expectancy–value theory, this study adopted both variable- person-centered approaches explore role supportive environments beliefs fostering students’ The data were drawn from 494 students. In Study 1, variable-centered approach structural equation modeling showed critical...

Teacher education is an important strategy for developing teachers’ technological pedagogical content knowledge (TPACK). Many schools in the world have incorporated training into teacher plans. However, there has been controversy academic circles concerning effects of intervention promoting development TPACK. Therefore, this study used a meta-analysis approach to review published literature on programs determine impact The results showed that positively affected TPACK (d = 0.839, p <...

Background Insecticide treated nets (ITNs) and indoor residual spraying (IRS) have been scaled up for malaria prevention in sub-Saharan Africa. However, there are few studies on the benefit of implementing IRS areas with moderate to high coverage ITNs. We evaluated impact an program related outcomes western Kenya, area intense perennial transmission ITN (55–65% use any net previous night). Methods The Kenya Division Malaria Control, support from US President's Initiative, conducted one...

Digital mathematics textbooks differ from traditional printed in, among other things, their dynamic structural elements, representing a potential that cannot fulfil. Notably, i.e., multimodal representations of mathematics, could be particular importance for learning, which is why the scientific interest in digital has increased recent years and many have been developed. However, research related to predicting teacher usage behavior still limited. Therefore, this aims analyze predictors may...

As artificial intelligence (AI) permeates almost all aspects of our lives, university students need to acquire relevant knowledge, skills, and attitudes adapt the challenges it poses. This study reports development validation a scale called Artificial Intelligence Learning Intention Scale (AILIS). AILIS was designed measure different factors that shape students’ behavioral intentions learn about AI their learning. We recruited 907 Chinese who answered survey. The is comprised 9 are...

Abstract This paper first introduces four research methods of knowledge mapping, using the analysis literature co-words to mine Ming and Qing art history. After Euclidean distance determine inter-point inter-class co-words, are then analyzed by clustering. Finally, Ochia coefficient method Jaccard index, we obtained inclusion index proximity between two times, determined strength association each associated word. The results show that following conclusions co-word method: keywords reflecting...

More sensitive and scalable entomological surveillance tools are required to monitor low levels of transmission that increasingly common across the tropics, particularly where vector control has been successful. A large-scale larviciding programme in urban Dar es Salaam, Tanzania is supported by a community-based (CB) system for trapping adult mosquito densities performance. An intensive extensive CB routine, longitudinal, programmatic malaria vectors other mosquitoes using Ifakara Tent Trap...

Japanese encephalitis (JE) is an acute infectious disease caused by the virus (JEV) and transmitted mosquitoes. Meteorological conditions are known to play a pivotal role in spread of JEV. In this study, zero-inflated generalised additive model long short-term memory were used assess relationship between meteorological factors population density Culex tritaeniorhynchus as well incidence JE predict prevalence dynamics JE, respectively. The previous month, mean air temperature average relative...

Agent-based models (ABMs) have been used to model the behaviour of individual mosquitoes and other aspects malaria. In this paper, a conceptual entomological population dynamics Anopheles gambiae agent-based implementations derived from it are described. Hypothetical vector control interventions (HVCIs) implemented target specific activities in mosquito life cycle, their impacts evaluated.

As a non-intellectual factor, Mathematics Adversity Quotient plays crucial role in students’ learning of mathematics. This study adopts the modified mathematics adversity quotient table measuring left-behind and non-left-behind Chetian Minority Junior High School Ziyuan, Guilin, Guangxi. It is found that junior high school students generally higher than students, so there significant difference between them. Based on this situation, questionnaire survey in-depth interview are adopted to...

In agent-based modeling (ABM), an explicit spatial representation may be required for certain aspects of the system to modeled realistically. A ABM includes landscapes in which agents seek resources necessary their survival. The heterogeneity underlying landscape plays a crucial role resource-seeking process. This study describes previous model malaria, and its extension. both models, all mosquito are represented individually. new model, also possess information. Within landscape, adult...

Anopheles gambiae is the primary mosquito species that serves as a vector for transmission of Plasmodium falciparum malaria parasite among humans in endemic areas. This paper introduces an agent-based model representing life cycle and its C++ implementation called AGiLESim. explicitly simulates eight distinct stages handles female male mosquitoes aquatic adult phases individually. In this paper, we discuss daily mortality rate development time at each stage, oviposition rule guides egglaying...

The outbreak of the COVID-19 epidemic has promoted popularity online learning, but also exposed some problems, such as a lack interaction, resulting in loneliness. Against this background, students' attitudes toward peer interaction may have become even more important. In order to explore impact attitude on mindset including learning motivation and critical thinking practice that could affect their problem-solving self-efficacy during pandemic, we developed administered questionnaire,...

In this paper, using the technique of docking, we perform verification & validation (V&V) agent-based simulation models that simulate life cycle Anopheles gambiae, primary vector for malaria transmission. Working with one (out several) particular version core conceptual model, perform: (1) between two separate implementations (Java C++) built independently from and (2) by comparing these to model. Incremental agreement in model output iterative docking serves purpose increasing confidence...

In agent-based modeling (ABM), an explicit spatial representation may be required in some cases for certain aspects of the system to modeled more realistically. this paper, we describe space a previous model malaria. new model, all agents (mosquitoes and aquatic habitats) possess information. The habitat locations mosquitoes are specified according different patterns, or landscapes. We use three types landscapes: regular, random, hybrid. context, mosquito agents' movement, event oviposition...

Survey data from a large and diverse urban university in the US revealed significant commitment among incoming students to value of multi‐ethnic student body; who were children immigrants expressed this most strongly. However, follow‐up interviews with these second‐generation Americans, now their third year at university, found them avoiding interaction unlike themselves, particularly those first‐generation American. These complained about self‐segregation native‐language maintenance...

Verification and validation (V&V) techniques are used in agent-based modeling (ABM) to determine whether the model is an accurate representation of real system. Docking a form V&V that tries align multiple simulation models. In previous paper, we described docking process ABM simulates life cycle Anopheles gambiae. Results showed implementations were docked for adult but not aquatic mosquito populations. this following ‘Divide Conquer’ paradigm, compartmentalize world prohibit propagation...

Verification and validation (V&V) techniques are used in agent-based modeling (ABM) to determine whether the model is an accurate representation of real system. Docking a form V&V that tries align multiple simulation models. In previous paper, we described docking process ABM simulates life cycle Anopheles gambiae. Results showed implementations were docked for adult but not aquatic mosquito populations. this following `Divide Conquer' paradigm, compartmentalize world prohibit propagation...

Using mobile devices, such as personal digital assistants (PDAs), smartphones, tablet computers, etc., to electronically collect malaria-related field data is the way for questionnaires in future. This case study seeks design a generic survey framework PDA-based geo-tagged collection tool (PGMS) that can be used not only large-scale community-level electronic surveys, but also wide variety of collections other infectious diseases. The includes two parts: database designed subsequent...

Computational thinking is a way of that helps people “think like computer scientist” to solve practical problems. However, practicing computational through programming dependent on the problem solvers’ metacognition. This study investigated students’ metacognitive planning and problem-solving performance in two quantitative studies. First, we analyzed solving 21 freshmen, found related “problem description” “program comprehension” was significantly correlated with performance. Second,...