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The Vietnamese Government committed to closing all bear farms in the country by 2022. Some researchers have expressed concerns that ending the commercial farming of bears, while demand for bear bile persists, could lead to increased hunting pressure on wild bear populations. In this article, we used mixed methods of questionnaires, Discrete Choice Experiments (DCEs), and interviews to investigate current consumer demand for bear bile in Vietnam, with a specific aim of understanding the potential for consumers to seek out wild bear bile. We sampled at seven areas across the country of Vietnam (total respondents = 2,463). We found low use of farmed and wild bear bile. Despite widespread belief in farmed and wild bear bile’s efficacy, we found that individuals were apathetic about continuing to use bear bile. Coupled with a strong preference for using synthetic bear bile over wild and farmed bear bile found in the DCEs, we posit that bear bile consumers in Vietnam will be willing to use non animal-based products, including bear bile plant and Western medicine, to treat future ailments.

It is now widely believed that classroom dialogue matters as regards student outcomes, with optimal patterns often regarded as requiring some or all of open questions, elaboration of previous contributions, reasoned discussion of competing viewpoints, linkage and coordination across contributions, metacognitive engagement with dialogue, and high student participation. To date, however, the relevance of such features has been most convincingly examined in relation to small-group interaction among students; little is known about their applicability to teacher-student dialogue. This article reports a large-scale study that permits some rebalancing. The study revolved around 2 lessons (covering 2 of mathematics, literacy, and science) that were video recorded in each of 72 demographically diverse classrooms (students' ages 10-11 years). Key measures of teacher-student dialogue were related to 6 indices of student outcome, which jointly covered curriculum mastery, reasoning, and educationally relevant attitudes. Prior attainment and attitudes were considered in analyses, as were other factors (e.g., student demographics and further aspects of classroom practice) that might confound interpretation of dialogue-outcome relations. So long as students participated extensively, elaboration and querying of previous contributions were found to be positively associated with curriculum mastery, and elaboration was also positively associated with attitudes.

Generative learning strategies are intended to improve students’ learning by prompting them to actively make sense of the material to be learned. But are they effective for all students? This review provides an overview of six popular generative learning strategies: concept mapping, explaining, predicting, questioning, testing, and drawing. Its main purpose is to review for what ages the effectiveness of these strategies has been demonstrated and whether there are indications of age-related differences in their effectiveness. The description of each strategy covers (1) how it is supposed to work, (2) the evidence on its effectiveness in different age groups, and (3) if there are age-related differences in its effectiveness. It is found that while all six generative learning strategies reviewed have proven effective for university students, evidence is mixed for younger students. Whereas some strategies (practice testing, predicting) seem to be effective already in lower-elementary-school children, others (drawing, questioning) seem to be largely ineffective until secondary school. The review closes with a call for research on the cognitive and metacognitive prerequisites of generative learning that can explain these differences.

While exam-style questions are a fundamental educational tool serving a variety of purposes, manual construction of questions is a complex process that requires training, experience, and resources. This, in turn, hinders and slows down the use of educational activities (e.g. providing practice questions) and new advances (e.g. adaptive testing) that require a large pool of questions. To reduce the expenses associated with manual construction of questions and to satisfy the need for a continuous supply of new questions, automatic question generation (AQG) techniques were introduced. This review extends a previous review on AQG literature that has been published up to late 2014. It includes 93 papers that were between 2015 and early 2019 and tackle the automatic generation of questions for educational purposes. The aims of this review are to: provide an overview of the AQG community and its activities, summarise the current trends and advances in AQG, highlight the changes that the area has undergone in the recent years, and suggest areas for improvement and future opportunities for AQG. Similar to what was found previously, there is little focus in the current literature on generating questions of controlled difficulty, enriching question forms and structures, automating template construction, improving presentation, and generating feedback. Our findings also suggest the need to further improve experimental reporting, harmonise evaluation metrics, and investigate other evaluation methods that are more feasible.

Parents visiting a gear exhibit at a children's museum were instructed to encourage their children (N = 65; ages 4–6) to explain, explore, or engage as usual. Instructions led to different patterns of play at the exhibit: Encouragement to explain led to greater discussion of gear mechanisms, whereas encouragement to explore led to more time connecting gears. In the explain condition, parents’ questions predicted their children's discussion and further testing of gears. Questions also predicted the amount of time children spent on a follow‐up task. Parents’ exploration predicted an increase in exploration by their children. These data indicate that minimal interventions impact parent–child interaction at a museum exhibit and that prompts to explore or explain uniquely influence parent and child behavior.

The shifting emphases of new national curricula have placed more attention on knowledge generation approaches to learning. Such approaches are centered on the fundamental sense of generative learning where practices and tools for learning become the focus of the learning environment, rather than on the products of learning. This paper, building on from the previous review by Fiorella and Mayer (2015, 2016), focuses on a systematic review of doctoral and master theses of a knowledge generation approach to the learning of science called the science writing heuristic (SWH) approach. The outcomes of examining 81 theses show that students regardless of grade levels and cultural settings were significantly advantage in terms of content knowledge, critical thinking growth, and representational competency. The results also indicate that time in terms of engagement with the approach is critical for achieving student outcomes and for teachers to develop expertise with the approach. Questioning was also noted as being critical. Implications arising from the study are centered on the development and use of writing, the need for interactive dialogical environments, and the importance of questioning as critical elements for success.

This study explored differences in caregiver-child interactions following children's information-seeking questions. Naturalistic speech from thirty-seven 4-year-olds and their caregivers was used to explore children's information-seeking questions, the caregiver's response, and children's subsequent follow-up. Half of the families were low-socioeconomic status (SES) and the other half were mid-SES. Although children across socioeconomic groups asked a similar proportion of questions, mid-SES caregivers offered significantly more explanatory responses to causal questions as well as more noncircular explanations than low-SES caregivers. No differences were found in children's follow-up to responses given to fact-based questions; however, after hearing unsatisfactory responses to causal questions, mid-SES children were significantly more likely to provide their own explanation. Such variability in caregiver-child interaction may have implications for subsequent learning.

Questioning is a core component of formal pedagogy. Parents commonly question children, but do they use questions to teach? This article defines \"pedagogical questions\" as questions for which the questioner already knows the answer and intended to help the questionee learn. Transcripts of parent-child conversations were collected from the CHILDES database to examine the frequency and distribution of pedagogical questions. Analysis of 2,166 questions from 166 mother-child dyads and 64 father-child dyads (child's age between 2 and 6 years) showed that pedagogical questions are commonplace during day-to-day parent-child conversations and vary based on child's age, family environment, and historical era. The results serve as a first step toward understanding the role of parent-child questions in facilitating children's learning.

Analyzing the quality of classroom talk is central to educational research and improvement efforts. In particular, the presence of authentic teacher questions, where answers are not predetermined by the teacher, helps constitute and serves as a marker of productive classroom discourse. Further, authentic questions can be cultivated to improve teaching effectiveness and consequently student achievement. Unfortunately, current methods to measure question authenticity do not scale because they rely on human observations or coding of teacher discourse. To address this challenge, we set out to use automatic speech recognition, natural language processing, and machine learning to train computers to detect authentic questions in real-world classrooms automatically. Our methods were iteratively refined using classroom audio and humancoded observational data from two sources: (a) a large archival database of text transcripts of 451 observations from 112 classrooms; and (b) a newly collected sample of 132 high-quality audio recordings from 27 classrooms, obtained under technical constraints that anticipate large-scale automated data, col lection and analysis. Correlations between humancoded and computer-coded authenticity at the classroom level were sufficiently high (r = .602 for archival transcripts and .687 for audio recordings) to provide a valuable complement to human coding in research efforts.

Preschoolers' questions may play an important role in cognitive development. When children encounter a problem with their current knowledge state (a gap in their knowledge, some ambiguity they do not know how to resolve, some inconsistency they have detected), asking a question allows them to get targeted information exactly when they need it. This information is available to them when they are particularly receptive to it, and because it comes as the result of their own disequilibrium, it may have depth of processing benefits. In that questions allow children to get information they need to move their knowledge structures closer to adult-like states, the ability to ask questions to gather needed information constitutes an efficient mechanism for cognitive development (referred to in this paper as the Information Requesting Mechanism [IRM]; this term is used because it includes question-asking and other information recruiting behaviors such as gestures, expressions, and vocalizations). However, the role of children's questions in their cognitive development has been largely overlooked. If questions are a force in cognitive development, the following must be true: (1) children must actually ask questions that gather information; (2) children must receive informative answers to their questions if they are able to be of use to cognitive development; (3) children must be motivated to get the information they request, rather than asking questions for other purposes such as attention; (4) the questions children ask must be relevant and of potential use to their cognitive development; (5) we must see evidence that children's questions help them in some way--that is, that they can ask questions for a purpose, and use the information they receive purposefully to successfully achieve some change of knowledge state. This monograph reports data on these points. Study 1 analyzed questions taken from four children's transcripts in the CHILDES database (age 1;2-5;1). This methodology allowed detailed, veridical analysis of every question asked by the children during their recording sessions. Results indicate that children ask many information-seeking questions and get informative answers. When they do not get an informative response, they keep asking; attention is not enough. Results also indicate that the content of children's questions parallel their conceptual advances, and shift within an exchange and over the course of development to reflect the learning process. So, these data suggest that the components of the IRM are in place and are used by children from very early in development, and the information they seek changes with time. Study 2 asked whether preverbal children who are not yet asking linguistic questions can recruit information via gestures, expressions, and vocalizations, in addition to further investigating the linguistic questions of older children. This study analyzed questions from a cross-sectional diary study, kept by 68 parents of their children's questions (aged 1;0-5;0). Also, this methodology allowed for data collection over a large number of children, a large range of situational contexts, and allows for the collection of low frequency, high-salience events. Results from Study 2 suggest that all of the components of the IRM are in place, and extends these findings down to younger, preverbal children who recruit information using gesture and vocalizations. Study 3 investigated the questions asked in one specific domain, biological knowledge, and examined the impact that different stimulus types have on children's questions. This study gathered data from 112 parent/child dyads (children aged 2, 3, and 4 years) walking through one of three zoos (one with real animals, one with drawings of animals, and one with three-dimensional replicas of animals), looking at the animals together. Results from this study also suggest that all of the components of the IRM are in place from the earliest age, further supporting the findings from Studies 1 and 2. In addition, while children still ask many nonbiological questions about the animals (\"what is its name?\"), biological information (\"how do babies grow their bees?\") is requested with much greater frequency in this study, although this need not necessarily be the case. Further, the nature of these questions suggests they may support the building of conceptual structures within the domain of biological knowledge, at a time just before the age when children make important conceptual changes in this area. Further, the type of stimulus materials used has an impact on the questions children ask; children are less likely to ask deep conceptual questions when looking at drawings or replicas of objects than when looking at the real thing. Finally, Study 4 examines the causal relation between children's questions and change in knowledge state by investigating whether or not children can ask questions in order to gain information that allows them to solve a problem. Sixty-seven 4-year-olds were asked to figure out which of two items were hidden in a box. Half of the children were allowed to ask questions to help them figure this out. Despite many ways in which they could fail to use questions correctly, children who were allowed to ask questions were significantly more likely to identify the object hidden in the box, an overt indication of their change in knowledge state. Further, children relied on their existing conceptual information about the objects to help generate disambiguating questions; even though they had a faster \"dumb\" method of disambiguating the objects via nonconceptual perceptual information (\"is it purple?\"), they were just as likely to generate questions that tapped into nonvisible conceptual information (\"does it purr?\"). These results suggest that children are capable of using their existing knowledge structures to generate questions that change their knowledge state in a way that allows them to productively solve a problem; they further suggest that tapping into existing conceptual knowledge to help process a current situation, and use that knowledge to generate appropriate questions, is an integral part of question asking. (Contains 20 tables, 45 figures and 10 notes.)