Kinds Of Questions Research Articles

Qualitative curriculum mapping of technological skills

Most programs in higher education promise to develop some sort of technology or information literacy in their students (Oliver & Jorre de St Jorre, 2018). This may include the ability to use specialised tools in their field or to think critically about the use and development of modern technologies. However, it is not always clear how these skills are actually developed within study units or subjects (Bone & Ross, 2021; Oliver & Jorre de St Jorre, 2018), which are often offered as separate modules within a program. On the other hand, curriculum mapping has become a popular method for tracking skill development throughout educational programs. However, mapping can sometimes result in box-ticking exercises (Bone & Ross, 2021; Spencer et al., 2012), focusing on whether skills are present or absent in different subjects, based on the description of learning outcomes and the topics covered across individual subjects. Approaching curriculum mapping as a qualitative inquiry (Spencer et al., 2012) can help bridge the gap between formal descriptions of learning outcomes at the program and subject level, and the actual learning activities that students engage in. By following a progressive model of curriculum design (Knight, 2001), a qualitative perspective on curriculum mapping aims to identify skills development beyond their mere presence or absence. Instead, it seeks to explore how students are introduced to these skills, the range of opportunities they have to practice them at different levels of complexity, and how different activities connect to one another. Additionally, by combining multiple sources of information such as document and artifact analysis, interviews, and more, the mapping process can help uncovering barriers and enablers for curriculum reform that may not be apparent through simple box-ticking exercises. This poster will present an excerpt of a qualitative curriculum mapping project, focusing on how specialised data analysis tools are taught in two biology majors. It will highlight the challenges of fully integrating these tools across subjects to provide students with progressive opportunities for practice. Based on this specific case, this poster will provide examples of the type of information that can be collected and the kind of questions that can be addressed through a qualitative curriculum mapping process, depending on the particular needs of each program and the technological skills to be incorporated.

A machine learning model based on CHAT-23 for early screening of autism in Chinese children.

Autism spectrum disorder (ASD) is a neurodevelopmental condition that significantly impacts the mental, emotional, and social development of children. Early screening for ASD typically involves the use of a series of questionnaires. With answers to these questionnaires, healthcare professionals can identify whether a child is at risk for developing ASD and refer them for further evaluation and diagnosis. CHAT-23 is an effective and widely used screening test in China for the early screening of ASD, which contains 23 different kinds of questions. We have collected clinical data from Wuxi, China. All the questions of CHAT-23 are regarded as different kinds of features for building machine learning models. We introduce machine learning methods into ASD screening, using the Max-Relevance and Min-Redundancy (mRMR) feature selection method to analyze the most important questions among all 23 from the collected CHAT-23 questionnaires. Seven mainstream supervised machine learning models were built and experiments were conducted. Among the seven supervised machine learning models evaluated, the best-performing model achieved a sensitivity of 0.909 and a specificity of 0.922 when the number of features was reduced to 9. This demonstrates the model's ability to accurately identify children for ASD with high precision, even with a more concise set of features. Our study focuses on the health of Chinese children, introducing machine learning methods to provide more accurate and effective early screening tests for autism. This approach not only enhances the early detection of ASD but also helps in refining the CHAT-23 questionnaire by identifying the most relevant questions for the diagnosis process.

Illusionism and a Posteriori Physicalism: No Fact of the Matter

Illusionists and a posteriori physicalists agree entirely on the metaphysical nature of reality — that all concrete entities are composed of fundamental physical entities. Despite this basic agreement on metaphysics, illusionists hold that phenomenal consciousness does not exist, whereas a posteriori physicalists hold that it does. One explanation for this disagreement would be that either the illusionists have too demanding a view about what consciousness requires, or the a posteriori physicalists have too tolerant a view. However, we will argue that this divergence of opinion is merely an upshot of the semantic indeterminacy of the term 'conscious' and its cognates. We shall back up this diagnosis by showing how semantic indeterminacy of the kind in question is a pervasive feature of language. By illustrating this pattern with a range of historical examples, we shall show how the dispute between the illusionists and a posteriori physicalists is one instance of a common kind of terminological imprecision. The disagreement between them is thus not substantial. In effect, the two sides differ only about how to make an indeterminate term precise. The moral is that they should stop looking for arguments designed to settle the dispute in their favour.

Following up: Questions and Talk Moves in Preservice Teachers’ Mathematics Classroom Conversations

<p style="text-align: justify;">Our research aim is to describe how Preservice Teachers (PSTs) can rehearse and prepare for leading productive talks in mathematics and other subjects. Based on literature and previous research on what constitutes productive talks, we focus on questions and talk moves in this case study, where we follow three groups of PSTs during their practicum, practicing conducting productive talks in mathematics. Our research questions are: What kinds of questions do PSTs ask? What kinds of talk moves do they use? How do these questions and talk moves contribute to the PSTs breaking the IRE (Initiation–Response–Evaluation) pattern and moving towards more productive mathematics talks with complex exchanges of questions and responses? And furthermore: How can we use these findings to improve teacher education in this field? We find that leading productive talks in the mathematics classroom is a challenging task, but there is variation between our three groups in what they struggle with. In accordance with previous research, we also find that the third turn in the exchange, following up after a question and a response is a crucial point in the conversation. One recommendation for teacher education is that video filming and analysing classroom talks might help PSTs to become conscious of and improve on this point. Further research is needed both on long term effect of such practice and focus, and on other ways to improve classroom talks in mathematics and other subjects.</p>

For a Pluralism of Climate Modeling Strategies

Abstract The continued development of general circulation models (GCMs) toward increasing resolution and complexity is a predominantly chosen strategy to advance climate science, resulting in channeling of research and funding to meet this aspiration. Yet many other modeling strategies have also been developed and can be used to understand past and present climates, to project future climates, and ultimately to support decision-making. We argue that a plurality of climate modeling strategies and an equitable distribution of funding among them would be an improvement on the current predominant strategy for informing policymaking. To support our claim, we use a philosophy of science approach to compare the increasing resolution and complexity of general circulation models with three alternate examples: the use of machine learning techniques, the physical climate storyline approach, and Earth system models of intermediate complexity. We show that each of these strategies prioritizes a particular set of methodological aims, among which are empirical agreement, realism, comprehensiveness, diversity of process representations, inclusion of the human dimension, reduction of computational expense, and intelligibility. Thus, each strategy may provide adequate information to support different specific kinds of research and decision questions. We conclude that, because climate decision-making consists of different kinds of questions, many modeling strategies are all potentially useful and can be used in a complementary way.

The lived experiences of transformations: The role of sense-making and phenomenology analyses

Studies of transformative change have been making headway in understanding the complexity of societal transformation processes. Yet, we lack understanding of how people’s lived experiences of transformations both shape and are shaped by meaning-making processes. In addressing this gap, we make two assumptions: Firstly, change processes comprise interactions between social actors that shape the way they are made sense of and experienced by the people involved in such interactions. Secondly, such change processes involve transformative experiences, which can bring to light previously taken-for-granted dimensions of lived experience. To address this research gap, we describe two complementary tools for analysing transformations: dialogical sense-making and critical phenomenology. These approaches share a focus on the experiential and sense-making dimensions, yet ask distinctly different kinds of questions and use different methods. Dialogical sense-making explores how people create meanings around transformations through various social interactions. Critical phenomenology analyses subjectivity, lived experience and structures that make possible and help shape experience. When brought into dialogue with each other, they allow for richer analyses of how the sense or meaning of transformations is constituted in experience.

Combating contamination and contagion: Embodied and environmental metaphors of misinformation

In recent years, government agencies, information institutions, educators and researchers have paid increasing attention to issues of misinformation, disinformation and conspiracy theorizing. This has prompted a seemingly endless supply of guides, frameworks and approaches to ‘combating’ the problem. In studies of mis- and disinformation, a constellation of analogous concepts are defined in multiple ways across multidisciplinary literatures and institutional contexts. Misinformation, disinformation and conspiracy theory are often conflated, lacking specific, portable definitions across fields of study. Linguistic metaphors are often leveraged in place of this definitional work. The larger conceptual metaphors that they connote contain normative assumptions that often impose values and moral imperatives, imply deficiencies, assume intent, and foreground individual agency or lack thereof. Metaphors are as restrictive as they are illuminating; once used, a metaphor also applies constraints to the way in which a phenomenon can be understood. Metaphors not only shape the ways in which science is communicated to the public, but also the kinds of questions that are asked, the theories and methods used, and the parameters of the research design. By analyzing instances of linguistic metaphor, this exploratory study identifies and develops two conceptual metaphors that are frequently evoked to discuss mis- and disinformation: embodied health metaphors and environmental health metaphors. The former includes linguistic metaphors like viral/virality, infodemic, infobesity, information hygiene, information dysfunction, and information pathology. The latter includes linguistic metaphors like information pollution, infollution, and digital wildfires. Uncritically invoking such metaphors adopts tacit arguments deriving from the original field of study (e.g., public health’s tendency to equate individual embodied health with virtue), or the image of the metaphor itself ( digital wildfires implies quick spread and immediate danger), or both. Widespread and uncritical use of such metaphors, we argue, rewards speed and epistemic homogeneity in mis- and disinformation research – ultimately discouraging in-depth inquiry.

Exploring Students' Difficulties in Answering Reading TOEFL Section Test

Test of English Foreign Language (TOEFL) is widely used as a measurement for standardized English competencies. This study attempted to explore EFL learners' difficulties in dealing question of reading section in TOEFL test. Qualitative case study research design and semi-structured interview as instrument to gain the data. In this study with four participants were purposively selected from the English Education Department of Private University of Jember who has passed the TOEFL test. The findings revealed that there were two factors that become difficulties or obstacle faced by the TOEFL test-takers in completing TOEFL reading questions. First, the factor that is caused from several kind of questions that are difficult to answer for the participants, including; unstated detail question, implied detail question, and vocabulary in context question. Second, the factor that is caused by each participant personally, including ; lack of mastering vocabulary, limitation of time, and unfamiliar vocabularies. The result of this study are expected to have practical contribution on determining the appropriate strategies employed to minimize students' error during answering the TOEFL test.

Values and Evidence in Gender-Affirming Care.

This commentary responds to the article "What Is the Aim of Pediatric 'Gender-Affirming' Care?," by Moti Gorin, in the same issue of the journal. Gender-affirming care is often treated as exceptional and subject to heightened scrutiny. This exceptionalization results in its being held to stricter evidentiary standards than other forms of medical interventions are. But values and value judgments are inextricable from the practice of evidence-based medicine. For gender-affirming care, values shape what counts as "strong" evidence, whether the legitimacy of transgender identity is assumed versus treated as something to be investigated, how to characterize the testimonial accounts of trans and gender-nonconforming patients, and more. We argue that these kinds of questions are part of the practice of medicine, not exceptional to transgender people and gender-affirming care. However, litigation of evidence for gender-affirming care in state and national policy underscores the moral urgency of thinking carefully about what values ought to guide evidence.

Islamic QA with Chatbot System Using Convolutional Neural Network

Many questions and answers about Islamic law are scattered on the internet and have been explained repeatedly by various sites. One solution is presented by the website www.piss-ktb.com, which creates a web-based source of information in the form of Frequently Asked Questions (FAQ). However, web-based FAQs have a weakness: users still have to browse through the available questions one by one according to the questions they want to know the answers to. Browsing through thousands of FAQs is inefficient and exhausting. Thus, a chatbot system can become a better alternative to the FAQ website. Still, chatbots are difficult to use because most of their conversations are hard to understand. A single character error will cause the system to misunderstand its meaning. In reality, users expect a chatbot that can understand everyday language. Thus, it is necessary to develop a chatbot system that can understand various common sentence combinations in everyday language and understand the meaning of words. In addition, it should be able to predict answers automatically to various kinds of questions and requests, even though the initial training data is relatively low. Therefore, this study aims to develop a system that can provide answers automatically based on user commands in natural language using Global Vectors for Word Representations (GloVe), Convolutional Neural Networks (CNN), and Transfer Learning techniques. The result shows that the use of transfer learning and the Nadam optimizer can improve the system’s performance.

THE KNOWLEDGE, ATTITUDES, AND PRACTICES OF LIVESTOCK DEALERS IN WASIT PROVINCE, IRAQ REGARDING ZOONOTIC INFECTIONS

This study aims to determine the knowledge, attitudes, and practices about diseases transmitted to humans from animals. The sample of the study is 77 persons working as breeders, fatteners, and sellers of cows and sheep in the countryside of wasit, Iraq. Those people answered some sociodemographic questions in addition to another three kinds of questions (knowledge attitudes and practices), the level score of knowledge was calculated by giving one point to every question. Participants were 72, and their average age was 45 years. The respondents whom had previously been infected were %87.6% of the respondents, however, 58.6% did not know that they infected from a healthy animal. Only 12.6% of the respondents received training on animal husbandry. The participants who had agricultural education were 37.6% of the participants. Those who know un-boiled milk can transmitted diseases were %65 of the and 96% of whom used to consume un-boiled milk. In this study, the lifetime prevalence of contracting diseases from animals was found to be 5.6%. Wearing gloves 36.2% while only % 28 of the participants was wearing masks. Who did not use any personal protective equipment were %13. Using raw milk was common among those who did not know that raw milk would be infected (p = 0.02). The participants were well informed about the disease transmitted from animals but they had less knowledge that poultry was also a source of infection (P <0.001). Participants do not demonstrate simple personal protective behaviour. Zoonotic diseases can be effectively addressed through the practice of occupational pathology, regional protection, the necessity of using personal protective equipment, and participation in training, especially in how to use it.

A critical review of sociological research on sexual pleasure

AbstractSociologists of sexuality often invoke the theme of pleasure, but it is not always clear what scholars believe the implications and importance of pleasure are. To this end, this paper reviews the existing literature on sexual pleasure, specifically within the field of sociology, to demonstrate what questions about sexual pleasure are (and are not) currently being asked. Through a systematic literature review, I demonstrate that scholars often lack a justification for why pleasure is important. I also connect themes between the kind of questions being asked about pleasure and the justifications attached to these studies, relating to risk mitigation, relationship satisfaction and well‐being, power structures, and moral oversight. Based on this review, I make recommendations for the future of sexual pleasure research with the goal of centering pleasure for pleasure's sake and embracing its liberatory possibilities.

Matemática recreativa. Cómo algunos problemas fáciles de entender originan teorías matemáticas complejas

This article presents a historical approach to recreational mathematics and the kinds of questions it deals with. I will present some authors, their works, the problems they contributed, and the fields of knowledge to which they gave rise, from Egyptian mathematics through the Renaissance and the Scientific Revolution to the 19th century, devoting a special section to the work of Leonhard Euler. I will present the problems, but not the solutions, so that the readers can actively participate by solving them or, if they wish, by checking the solutions in the references given.

Symmetries and Representation

AbstractIt is often said in physics that if two models of a theory are related by a symmetry, then the two models provide (or could provide) two different representations of the very same situation, alike the case of two maps of different color for the very same city. It is also said that the situations represented by two models of a theory are indiscernible in some ways when the models in question are related by a symmetry of the theory, just like the situation in the interior of the cabin of a train when the train is at rest in the station is empirically indiscernible from the situation in the interior when the train is moving uniformly (in classical mechanics, these two situations are represented by two models related by a boost). In recent years, philosophers of physics have focused a lot of attention in developing various principles that aim to elucidate these and similar remarks on symmetries, models, physical equivalence, and representation that are widespread in physics practice. The goal of the current article is to provide a critical review of these principles, and suggest a new framework for thinking about these kinds of questions. One important upshot of the paper is that questions of indiscernibility, and questions of the representational capacity of models, must be distinguished from one another.

Evolution of the data and methods in real-world COVID-19 vaccine effectiveness studies on mortality: a scoping review protocol

BackgroundEarly evidence on COVID-19 vaccine efficacy came from randomised trials. Many important questions subsequently about vaccine effectiveness (VE) have been addressed using real-world studies (RWS) and have informed most vaccination...

Philosophy in Technology: Objectives, Questions, Methods, and Issues

Philosophy in technology is a research program aimed at studying the philosophical roots of engineering and technology, and it asserts that the resolutions to problems need to be based on an understanding of these philosophical roots. In this paper, we define the objectives of philosophy in technology, the kinds of questions it seeks to explore, the methods it applies, and the ways in which it differs from the philosophy of technology. We then examine six selected problems to illustrate how the philosophical perspective can shine new light onto technology.

Analisis Efektifitas Program Penurunan Stunting Di Mlangsen Kecamatan Blora Kabupaten Blora

Kelurahan Mlangsen, Kec. Blora, Kab. Blora is one of the locations with stunting cases. Mlangsen is one of the target areas for implementing the stunting reduction programme policy, because there are still many children suffering from stunting (short stature, stunted body). The role of the posyandu team is very important in reducing stunting in Mlangsen. The stunting reduction programme carried out by the Mlangsen posyandu team, is by providing counseling and counselling to prospective mothers and mothers of toddlers about nutritional health and child food management once a month by going from house to house, distributing PMT (Supplementary Feeding) for 3 months, giving Vitamin A and Zinc to toddlers. The purpose of this study was to analyse the stunting reduction program in Mlangsen, Blora sub-district, Blora district. The type of research used is descriptive research, with the population being identified and positive stunting families in Mlangsen as many as 22 informants, namely 12 identified stunting family informants and 10 stunting family informants. The sampling technique used a census technique, the data collection technique was carried out by observation, interview, questionnaire & documentation. The data analysis technique used uses complementary descriptive qualitative methods, in order to produce strong data analysis to respond to various kinds of questions and research objectives, besides that it is equipped with percentage data. The results of this study conclude that the level of efficiency in achieving the objectives and precisely the target group of the stunting reduction programme is good / high, namely 72.5% based on the cumulative score calculation. In addition, the use of posyandu team resources and the infrastructure used to generate awareness of families at risk of stunting. The Stunting Reduction Programme is doing the rights things (Druker). Meanwhile, Duncan's 3 important points of effectiveness in the Stunting Reduction Programme in Mlangsen, namely in achieving programme objectives, integrating the programme and the adaptability of families at risk of stunting, the level of effectiveness is also good/high.

Philosophy in Technology: Objectives, Questions, Methods, and Issues

Philosophy in technology is a research program that studies the philosophical roots of engineering and technology. Philosophy in technology asserts that the resolutions to these problems need to be based on an understanding of their philosophical roots. In åthis paper, we define the objectives of philosophy in technology, the kinds of questions it explores, the methods it uses, and how it differs from the philosophy of technology. We then look at six selected problems to illustrate how the philosophical perspective shines new light onto technology.

Effects of internal versus external distinctive facial features on eyewitness identification

AbstractMany criminals have distinctive facial features such as tattoos, yet the potential impact on eyewitness memory has received little research attention. Does such a feature harm memory for the face at encoding, and can police do anything about this when constructing the lineup? Does it matter whether the feature is on the interior (e.g., tattoo on face) or exterior (e.g., tattoo on neck)? These are the kinds of questions that we investigated by randomly assigning a large nationwide sample of online participants to conditions within an experimental design in which we manipulated target exposure time, presence (and location) of a distinctive feature, and whether it is replicated or removed from lineup members. Results indicate that a distinctive feature harms memory for the face regardless of location, but replicating the feature in the lineup may attenuate this effect. Fortunately, high confidence was indicative of high accuracy regardless of our manipulations.

Philosophy in technology: A research program

Philosophy in technology is a research program that studies the philosophical roots of engineering and technology. Technologists, by virtue of their education, believe that the limits, goals, possibilities, and effects of technology on society and humankind are exclusively technological problems, hence their solutions must lie exclusively in technology. In contrast, philosophy in technology asserts that the resolutions to these problems need to be rooted in an understanding of their philosophical origins. This program paper defines the objectives of philosophy in technology, the kinds of questions it explores, the methods it uses, and how it differs from the philosophy of technology.