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Journal articles on the topic 'Judgement of learning'

Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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1

Hoffmann, Janina A., Bettina von Helversen, Regina A. Weilbächer, and Jörg Rieskamp. "Tracing the path of forgetting in rule abstraction and exemplar retrieval." Quarterly Journal of Experimental Psychology 71, no. 11 (2018): 2261–81. http://dx.doi.org/10.1177/1747021817739861.

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People often forget acquired knowledge over time such as names of former classmates. Which knowledge people can access, however, may modify the judgement process and affect judgement accuracy. Specifically, we hypothesised that judgements based on retrieving past exemplars from long-term memory may be more vulnerable to forgetting than remembering rules that relate the cues to the criterion. Experiment 1 systematically tracked the individual course of forgetting from initial learning to later tests (immediate, 1 day, and 1 week) in a linear judgement task facilitating rule-based strategies and

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2

Luntley, Michael. "Learning, Empowerment and Judgement." Educational Philosophy and Theory 39, no. 4 (2007): 418–31. http://dx.doi.org/10.1111/j.1469-5812.2007.00348.x.

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Foucault, Amélie, Serge Dubé, Nicolas Fernandez, Robert Gagnon, and Bernard Charlin. "The Concordance of Judgement Learning Tool." Medical Education 48, no. 5 (2014): 541–42. http://dx.doi.org/10.1111/medu.12467.

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Guile, David. "Interprofessional Learning: Reasons, Judgement, and Action." Mind, Culture, and Activity 18, no. 4 (2011): 342–64. http://dx.doi.org/10.1080/10749039.2011.573045.

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Hager, Paul. "Workplace judgement and conceptions of learning." Journal of Workplace Learning 13, no. 7/8 (2001): 352–59. http://dx.doi.org/10.1108/eum0000000006123.

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6

Collier, Gerald. "Learning moral judgement in higher education." Studies in Higher Education 18, no. 3 (1993): 287–97. http://dx.doi.org/10.1080/03075079312331382221.

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Mardani, Desak Made Sri, I. Wayan Sadyana, and Putu Hendra Suputra. "Interactive Learning Medium Development for Learning Hiragana and Katakana." JAPANEDU: Jurnal Pendidikan dan Pengajaran Bahasa Jepang 5, no. 1 (2020): 23–30. http://dx.doi.org/10.17509/japanedu.v5i1.19342.

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The ability of college students in X university to use Hiragana and Katakana letters is still weak due to the lack of practice in reading and using these letters in a word/sentence. The ability to use Hiragana and Katakana letters is not only about the ability to understand the order of writing and the differences in the strokes, but also to use Hiragana and Katakana in words/sentences. This research was a descriptive study using R D design based on the Four-D Model. In this study, three stages were carried out out of the four stages of the model. Questionnaires and interviews were used in thi

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Bailey, Charles D., and Sanjay Gupta. "Judgement in learning-curve forecasting: a laboratory study." Journal of Forecasting 18, no. 1 (1999): 39–57. http://dx.doi.org/10.1002/(sici)1099-131x(199901)18:1<39::aid-for683>3.0.co;2-n.

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Frosch, Caren A., C. Philip Beaman, and Rachel Mccloy. "A Little Learning is a Dangerous Thing: An Experimental Demonstration of Ignorance-Driven Inference." Quarterly Journal of Experimental Psychology 60, no. 10 (2007): 1329–36. http://dx.doi.org/10.1080/17470210701507949.

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Studies of ignorance-driven decision making have been employed to analyse when ignorance should prove advantageous on theoretical grounds or else they have been employed to examine whether human behaviour is consistent with an ignorance-driven inference strategy (e.g., the recognition heuristic). In the current study we examine whether—under conditions where such inferences might be expected—the advantages that theoretical analyses predict are evident in human performance data. A single experiment shows that, when asked to make relative wealth judgements, participants reliably use recognition

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Hammond, Lewis, and Vaishak Belle. "Learning tractable probabilistic models for moral responsibility and blame." Data Mining and Knowledge Discovery 35, no. 2 (2021): 621–59. http://dx.doi.org/10.1007/s10618-020-00726-4.

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AbstractMoral responsibility is a major concern in autonomous systems, with applications ranging from self-driving cars to kidney exchanges. Although there have been recent attempts to formalise responsibility and blame, among similar notions, the problem of learning within these formalisms has been unaddressed. From the viewpoint of such systems, the urgent questions are: (a) How can models of moral scenarios and blameworthiness be extracted and learnt automatically from data? (b) How can judgements be computed effectively and efficiently, given the split-second decision points faced by some

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Ferdjani, Jason K., Amour BU Patel, and Soram RU Patel. "One-dimensional learning: detrimental to the Situational Judgement Test?" British Journal of General Practice 62, no. 603 (2012): 520.1–520. http://dx.doi.org/10.3399/bjgp12x656766.

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White, Christopher, and Tim Fry. "Satisfaction with teaching and learning and the role of psychological need fulfillment." Education + Training 56, no. 5 (2014): 366–80. http://dx.doi.org/10.1108/et-04-2013-0060.

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Purpose – The purpose of this paper is to develop a model to assess participant satisfaction of a teaching and learning experience. Additionally, the way innate psychological needs influence the satisfaction formation process will be examined. Design/methodology/approach – A cross-sectional, quantitative approach was chosen and path analysis and t-tests were used to analyze the data. Findings – Satisfaction is formed by two related constructs, emotions and perception of quality, and together explained 53 percent of the variance in satisfaction. Higher levels of psychological need fulfillment w

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Catena, Andrés, Antonio Maldonado, Jesús L. Megías, and Bettina Frese. "Judgement Frequency, Belief Revision, and Serial processing of Causal Information." Quarterly Journal of Experimental Psychology Section B 55, no. 3b (2002): 267–81. http://dx.doi.org/10.1080/02724990244000007.

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The main aim of this research was to study the cognitive architecture underlying causal/covariation learning by investigating the frequency of judgement effect. Previous research has shown that decreasing the number of trials between opportunities to make a judgement in a covariation learning task led to a higher score after an a or d type of trial (positive cases) than after b and c trials (negative cases). Experiment 1 replicated this effect using a trial-by-trial procedure and examined the conditions under which it occurs. Experiment 2 demonstrated a similar frequency of judgement effect wh

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Bendixen, Lisa D., Michael E. Dunkle, and Gregory Schraw. "Epistemological Beliefs and Reflective Judgement." Psychological Reports 75, no. 3_suppl (1994): 1595–600. http://dx.doi.org/10.2466/pr0.1994.75.3f.1595.

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We tested the hypothesis that 4 epistemological beliefs, i.e., beliefs about the nature and acquisition of knowledge, proposed by Schommer in 1990, were related to observed differences in epistemological reasoning. Based on their responses to a philosophical dilemma, 125 college undergraduates and graduate students were assigned to 1 of 7 levels of the Reflective Judgement Model by Kitchener and King. 4 independent epistemological beliefs were used to predict reflective judgement. Analysis indicated that beliefs in Fixed Ability, Simple Knowledge, and Quick Learning accurately discriminated be

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Li, Yanlin. "Reality Versus Beliefs About the Effects of the Preview Learning Method." Journal of Education and Learning 10, no. 6 (2021): 1. http://dx.doi.org/10.5539/jel.v10n6p1.

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This study is mainly designed to evaluate a popular learning method: previewing material before classes and to answer two research questions on the learning method. The research questions are &ldquo;Does previewing have benefits in promoting future learning?&rdquo; and &ldquo;Do people have correct metacognitive judgements on the effects of previewing?&rdquo; The hypothesis states that previewing is beneficial in ways other than directly pre-stating answers (e.g., providing context information or keywords) and that, in general, individuals&rsquo; judgements on the effects o

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Song, Mingzhi, Zheng Zhu, Peipei Wang, et al. "An Alternative Rural Housing Management Tool Empowered by a Bayesian Neural Classifier." Sustainability 15, no. 3 (2023): 1785. http://dx.doi.org/10.3390/su15031785.

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In developing countries, decision-making regarding old rural houses significantly relies on expert site investigations, which are criticized for being resource-demanding. This paper aims to construct an efficient Bayesian classifier for house safety and habitability risk evaluations, enabling people with none-civil-engineering backgrounds to make judgements comparable with experts so that house risk levels can be checked regularly at low costs. An initial list of critical risk factors for house safety and habitability was identified with a literature review and verified by expert discussions,

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Mitchell, Chris J., Peter F. Lovibond, Erin Minard, and Yvonna Lavis. "Forward blocking in human learning sometimes reflects the failure to encode a cue–outcome relationship." Quarterly Journal of Experimental Psychology 59, no. 5 (2006): 830–44. http://dx.doi.org/10.1080/17470210500242847.

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In two “allergist” causal judgement experiments, participants were trained with a blocking design (A + |AB+). The procedure allowed different food cues to be paired with different fictitious allergic reactions. On test, participants were asked to rate the causal efficacy of the target cues and to recall the particular allergic reaction (outcome) that had followed each cue during training. Forward blocking was observed on the causal judgement measure and on the outcome recall measure in both Experiment 1 and Experiment 2. A backward blocking contingency was also trained in Experiment 2 (AB + |A

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Perales, José C., and David R. Shanks. "Normative and Descriptive Accounts of the Influence of Power and Contingency on Causal Judgement." Quarterly Journal of Experimental Psychology Section A 56, no. 6 (2003): 977–1007. http://dx.doi.org/10.1080/02724980244000738.

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The power PC theory (Cheng, 1997) is a normative account of causal inference, which predicts that causal judgements are based on the power p of a potential cause, where p is the cause-effect contingency normalized by the base rate of the effect. In three experiments we demonstrate that both cause-effect contingency and effect base-rate independently affect estimates in causal learning tasks. In Experiment 1, causal strength judgements were directly related to power p in a task in which the effect base-rate was manipulated across two positive and two negative contingency conditions. In Experime

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Jeong, Daehyeon, YoungHo Kim, ChangHyeon Kim, et al. "Judgement of Tear of Fish Farming Nets using Deep Learning." Journal of Institute of Control, Robotics and Systems 24, no. 9 (2018): 822–28. http://dx.doi.org/10.5302/j.icros.2018.18.0113.

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Schröder, Monika J. A., and Sabine McKinnon. "Learning good judgement: young Europeans' perceptions of key consumer skills." International Journal of Consumer Studies 31, no. 2 (2007): 152–59. http://dx.doi.org/10.1111/j.1470-6431.2006.00584.x.

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Frost, Jane, Lori Delaney, and Robert Fitzgerald. "Exploring the application of mixed reality in Nurse education." BMJ Simulation and Technology Enhanced Learning 6, no. 4 (2019): 214–19. http://dx.doi.org/10.1136/bmjstel-2019-000464.

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The aim of this study was to explore the contemporary application, inclusive of advantages and challenges, of mixed reality (MR) technology in the education of nursing students and, its contribution to enhanced learning. A descriptive evaluation design was undertaken to explore the learning experience of second year students enrolled in a 3 year Bachelor of Nursing programme. One hundred per cent of the students stated that the experience assisted them in their learning. The key themes of engagement in learning, and developing clinical judgement emerged from students’ responses, and demonstrat

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Son, Hae Kyoung. "Effects of Team-based Debriefing in Simulation on Clinical Judgement, Critical Thinking and Learning Satisfaction of Undergraduate Health Profession Students: Case Study Based on Tanner’s Clinical Judgement Model." Forum of Public Safety and Culture 19 (November 30, 2022): 143–54. http://dx.doi.org/10.52902/kjsc.2022.19.143.

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With the recent increase in simulation in the field of health profession education, the standardized guidelines for debriefing are required. The purpose of this study was to identify the effects of team-based debriefing in simulation on clinical judgement, critical thinking and learning satisfaction of undergraduate health profession students. This study was conducted from March 2 to April 20, 2022. This study was used a one-group, pretest-posttest, quasi-experimental design. The subjects were third-year students in the department of nursing and dental hygiene at a university in S city. A tota

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Sorato, Enrico, Josefina Zidar, Laura Garnham, Alastair Wilson, and Hanne Løvlie. "Heritabilities and co-variation among cognitive traits in red junglefowl." Philosophical Transactions of the Royal Society B: Biological Sciences 373, no. 1756 (2018): 20170285. http://dx.doi.org/10.1098/rstb.2017.0285.

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Natural selection can act on between-individual variation in cognitive abilities, yet evolutionary responses depend on the presence of underlying genetic variation. It is, therefore, crucial to determine the relative extent of genetic versus environmental control of these among-individual differences in cognitive traits to understand their causes and evolutionary potential. We investigated heritability of associative learning performance and of a cognitive judgement bias (optimism), as well as their covariation, in a captive pedigree-bred population of red junglefowl ( Gallus gallus , n > 3

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Gong, Shuxiao, and Jie Zhang. "Modelling Mandarin speakers’ phonotactic knowledge." Phonology 38, no. 2 (2021): 241–75. http://dx.doi.org/10.1017/s0952675721000166.

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This paper investigates the nature of native Mandarin Chinese speakers’ phonotactic knowledge via an experimental study and formal modelling of the experimental results. Results from a phonological well-formedness judgement experiment suggest that Mandarin speakers’ phonotactic knowledge is sensitive not only to lexical statistics, but also to grammatical principles such as systematic and accidental phonotactic constraints, allophonic restrictions and segment–tone co-occurrence restrictions. We employ the UCLA Phonotactic Learner to model Mandarin speakers’ phonotactic knowledge, and compare t

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Mohd Sanusi, Zuraidah, Takiah Mohd Iskandar, Gary S. Monroe, and Norman Mohd Saleh. "Effects of goal orientation, self-efficacy and task complexity on the audit judgement performance of Malaysian auditors." Accounting, Auditing & Accountability Journal 31, no. 1 (2018): 75–95. http://dx.doi.org/10.1108/aaaj-12-2015-2362.

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Purpose The purpose of this paper is to examine the effects of self-efficacy, goal orientation and task complexity on audit judgement performance in correctly linking audit procedures to audit objectives and types of misstatements. Design/methodology/approach The authors conducted an experiment audit with 154 auditors from small and medium audit firms in Malaysia as participants. The experimental task required them to link audit procedures to audit objectives and types of misstatements. Findings For sample of auditors from small and medium audit firms in Malaysia, the authors found that learni

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Nurwijayanti, Ani, Budiyono Budiyono, and Laila Fitriana. "COMBINING GOOGLE SKETCHUP AND ISPRING SUITE 8: A BREAKTHROUGH TO DEVELOP GEOMETRY LEARNING MEDIA." Journal on Mathematics Education 10, no. 1 (2019): 103–16. http://dx.doi.org/10.22342/jme.10.1.5380.103-116.

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This study aims to develop geometry learning media on curved-solid objects using Ispring Suite 8 with 3D effects supported by Google SketchUp. It also aims to find the effectiveness of the media towards the basic geometry skills and the learning result of 9th-grade students of junior high school. This study is a development study which refers to Budiyono’s development model that includes four stages. These stages are the preliminary, product development, product trial on its effectiveness, dissemination and product implementation. The entire stage was imposed on three different schools in Kara

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Hallin, Karin, Marie Haggstrom, Britt Backstrom, and Lisbeth Kristiansen. "Correlations Between Clinical Judgement and Learning Style Preferences of Nursing Students in the Simulation Room." Global Journal of Health Science 8, no. 6 (2015): 1. http://dx.doi.org/10.5539/gjhs.v8n6p1.

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<p><strong>BACKGROUND: </strong>Health care educators account for variables affecting patient safety and are responsible for developing the highly complex process of education planning. Clinical judgement is a multidimensional process, which may be affected by learning styles. The aim was to explore three specific hypotheses to test correlations between nursing students’ team achievements in clinical judgement and emotional, sociological and physiological learning style preferences.</p> <p><strong>METHODS: </strong>A descriptive cross-sectional study w

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Lopez-Santander, Adan, and Jonathan Lawry. "An Ordinal Model of Risk Based on Mariner's Judgement." Journal of Navigation 70, no. 2 (2016): 309–24. http://dx.doi.org/10.1017/s0373463316000576.

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This paper describes a statistical method for learning and estimating the risk posed by other craft in the vicinity of a vessel and an overview of its possible spatial application, simulating how professional mariners perceive and assess such risk and using navigational data obtained from a standard integrated bridge. We propose a non-linear model for risk estimation which attempts to capture mariners' judgement. Questionnaire data has been collected that captures and quantifies mariners’ judgements of risk for craft in the vicinity, where each craft is described by measurements that can be ob

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Purinanda, Faza Hannan. "Developing an Interactive HTML5-Based Game for Tenses Learning for Senior High School Students." Lingua Pedagogia, Journal of English Teaching Studies 2, no. 1 (2020): 61–67. http://dx.doi.org/10.21831/lingped.v2i1.32881.

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This research study aims at developing an interactive HTML5-based game to facilitate senior high school students in learning tenses. This research is a research and development study. The development of the game is carried out through several steps, which are needs analysis, outline of materials design, product development, expert judgement, product revision, and final product development. The result of this study is a web-based game titled The Time Traveller. Based on the results of expert judgement, the game is appropriate for senior high school students based on the mean scores of 3.52, whi

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Haig, Yvonne, and Rhonda Oliver. "Is it a case of mind over matter? Influences on teachers’ judgements of student speech." Australian Review of Applied Linguistics 26, no. 1 (2003): 55–70. http://dx.doi.org/10.1075/aral.26.1.05hai.

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Although language variation is widespread and natural, it is subject to judgement. Where a standard language has developed, other varieties tend to be judged against its ‘standard’. While a number of overseas studies have found that this type of linguistic bias occurs in education and negatively impacts on dialect speakers, there has been little research in Australia. This study investigates how teachers judge the speech of school-aged students and what influences that judgement. Twelve teachers met in four school-based groups to rank tape-recorded samples of speech from students who were not

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Rawles, Joanna. "How social work students develop the skill of professional judgement: Implications for practice educators." Journal of Practice Teaching and Learning 17, no. 3 (2021): 10–30. http://dx.doi.org/10.1921/jpts.v17i3.1445.

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This article is based on findings of research into how social work students begin to develop expertise in professional judgement during their practice placements and what enables, facilitates and supports them to do so. The research sought to understand the ‘authentic professional learning’ that took place for social work students who were at the point of qualification. The findings indicate that the optimal environment for the development of the skill of professional judgement is one in which there is the presence and positive inter-relationship of three domains of learning: professional resp

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Bird, Sarah, and Adam J. L. Harris. "A Judgement and Decision Making Poem." PsyPag Quarterly 1, no. 104 (2017): 59. http://dx.doi.org/10.53841/bpspag.2017.1.104.59.

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I submitted this ‘Ode on a Brain’ on behalf of my late student, Sarah Bird (24/11/1963–26/10/2016). Sarah came to UCL as a mature MSc student in 2011, before commencing a PhD in financial decisionmaking under my supervision in 2012. Enthusiastic would be a most appropriate word with which to describe Sarah. On hearing new talks, or learning new concepts, she would be wide–eyed and always seeking ways to integrate the material into her own research. Before her premature death from cancer in 2016, Sarah had given me access to her Dropbox folder, so that I could continue our research, especially

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Furuta, Daichi, Kyo Kutsuzawa, Sho Sakaino, and Toshiaki Tsuji. "Motion Planning With Success Judgement Model Based on Learning From Demonstration." IEEE Access 8 (2020): 73142–50. http://dx.doi.org/10.1109/access.2020.2987604.

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Koufidis, Charilaos, Katri Manninen, Juha Nieminen, Martin Wohlin, and Charlotte Silén. "Grounding judgement in context: A conceptual learning model of clinical reasoning." Medical Education 54, no. 11 (2020): 1019–28. http://dx.doi.org/10.1111/medu.14222.

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Osuszek, Łukasz, and Stanisław Stanek. "AI for augmenting human judgement in Business Processes Management." Scientific Journal of the Military University of Land Forces 201, no. 3 (2021): 507–18. http://dx.doi.org/10.5604/01.3001.0015.3404.

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The paper outlines the recent trends in the evolution of Business Process Management (BPM) – especially the application of AI for decision support. AI has great potential to augment human judgement. Indeed, Machine Learning might be considered as a supplementary and complimentary solution to enhance and support human productivity throughout all aspects of personal and professional life. The idea of merging technologies for organizational learning and workflow management was first put forward by Wargitsch. Herein, completed business cases stored in an organizational memory are used to configure

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D’Alonzo, Samantha, and Max Tegmark. "Machine-learning media bias." PLOS ONE 17, no. 8 (2022): e0271947. http://dx.doi.org/10.1371/journal.pone.0271947.

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We present an automated method for measuring media bias. Inferring which newspaper published a given article, based only on the frequencies with which it uses different phrases, leads to a conditional probability distribution whose analysis lets us automatically map newspapers and phrases into a bias space. By analyzing roughly a million articles from roughly a hundred newspapers for bias in dozens of news topics, our method maps newspapers into a two-dimensional bias landscape that agrees well with previous bias classifications based on human judgement. One dimension can be interpreted as tra

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Van Graan, Anna C., Martha J. S. Williams, and Magdalena P. Koen. "Professional nurses' understanding of clinical judgement: A contextual inquiry." Health SA Gesondheid 21 (October 11, 2016): 280–93. http://dx.doi.org/10.4102/hsag.v21i0.967.

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Higher cognitive skills are essential competencies for nurses joining the technologically and increasingly complex health care environment to provide safe and effective nursing care. Educators and clinical facilitators have recognised that newly qualified nurses do not meet the expectations for entry level clinical judgement and are held accountable for finding adequate learning experiences as preparation for such practice demands. An explorative and descriptive qualitative design was followed in this study to reach an understanding of clinical judgement in the clinical nursing environment fro

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Maeda, Tomoki, Osamu Kobayashi, Kenji Ihara, and Arend Frederik Bos. "Fidgety Movements Assessment Accuracy Survey in Japan." International Journal of Environmental Research and Public Health 18, no. 24 (2021): 13428. http://dx.doi.org/10.3390/ijerph182413428.

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To investigate the accuracy of fidgety movements (FMs) assessment in Japanese assessors. Sixty specialists participated in the first survey. Of the participants, 18 were assessors certified by the GMs basic-training course. The surveys were composed of FMs assessment of 20 video clips. The correct assessment rates (CARs) were investigated. The survey videos were judged into three types: normal (F + +, F +), abnormal (AF) and absent (F + -, F -). After the first survey, each participant performed a self-learning exercise using clips of the first survey. The follow-up survey was conducted three

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Dowding, Dawn, Russell Gurbutt, Monica Murphy, Margaret Lascelles, Alan Pearman, and Barbara Summers. "Conceptualising decision making in nursing education." Journal of Research in Nursing 17, no. 4 (2012): 348–60. http://dx.doi.org/10.1177/1744987112449963.

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The ability to exhibit sound judgement and decision-making skills is a fundamental requirement of undergraduate nursing curricula. In order to acquire such skills, students need to develop critical thinking ability, as well as an understanding of how judgements and decisions are reached in complex healthcare environments. The use of techniques such as problem-based learning, simulation and feedback has been hypothesised to help with the development of critical thinking skills. In addition, a curriculum that incorporates teaching on different ways in which judgements and decisions are reached c

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Scott, Deborah. "Creatively expanding research from work-based learning." Journal of Work-Applied Management 12, no. 2 (2020): 115–25. http://dx.doi.org/10.1108/jwam-03-2020-0015.

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PurposeThe purpose of this paper is to explore the potential of creativity in work-based research and practice to yield deeper understanding of practice situations. Unexpected insights can lead one (or a team) to identify new approaches, tackling workplace issues differently, leading to unexpected outcomes of long-term impact.Design/methodology/approachThis paper draws on work conducted for a doctoral thesis, investigating the impact of work-based learning for recent masters graduates of a work-based learning programme. Fiction was incorporated into analysis of the data, creating play scripts

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Bialystok, Ellen, and Barry Miller. "The problem of age in second-language acquisition: Influences from language, structure, and task." Bilingualism: Language and Cognition 2, no. 2 (1999): 127–45. http://dx.doi.org/10.1017/s1366728999000231.

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Three groups of participants were given a grammaticality judgement test based on five structures of English grammar in both an oral and written form. The first group consisted of native speakers of Chinese, the second, native speakers of Spanish, and the third, native English speakers. The two learner groups were divided into those who had begun learning English at a younger (less than 15 years) or older (more than 15 years) age. Performance was measured for both accuracy of judgement and time taken to respond. The results showed that performance patterns were different for the two learner gro

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Franceschelli, Giorgio, and Mirco Musolesi. "DeepCreativity: measuring creativity with deep learning techniques." Intelligenza Artificiale 16, no. 2 (2022): 151–63. http://dx.doi.org/10.3233/ia-220136.

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Measuring machine creativity is one of the most fascinating challenges in Artificial Intelligence. This paper explores the possibility of using generative learning techniques for automatic assessment of creativity. The proposed solution does not involve human judgement, it is modular and of general applicability. We introduce a new measure, namely DeepCreativity, based on Margaret Boden’s definition of creativity as composed by value, novelty and surprise. We evaluate our methodology (and related measure) considering a case study, i.e., the generation of 19th century American poetry, showing i

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Nisa, Yunita Faela, Jahja Umar, Puspita Dian Arista, Helena Widaningrum, and Bahrul Hayat. "Development and Validation of Situational Judgement Test to Measure Continuous Learning Competency." JP3I (Jurnal Pengukuran Psikologi dan Pendidikan Indonesia) 11, no. 1 (2022): 34–44. http://dx.doi.org/10.15408/jp3i.v11i1.25302.

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Measuring continuous learning (CL) competency is beneficial to achieving success for individuals and organizations. For this reason, the availability of a brief but valid instrument is crucial. This study aims to develop a valid instrument to measure the CL using a situational judgment test (SJT). The instrument was developed and validated using respondents of 502 employees at the supervisory level in the electrical industry (with age M=30.13, SD=6.17). For content validity, we first held focus group discussions with supervisors and managers to identify and develop some essential characteristi

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Fitzgerald, Kylie, Brett Vaughan, and Joanna Hong-Meng Tai. "Multiple feedback sources in learning clinical history-taking skills: Developing evaluative judgement." Focus on Health Professional Education: A Multi-Professional Journal 22, no. 3 (2021): 33–50. http://dx.doi.org/10.11157/fohpe.v22i3.441.

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Introduction: Contemporary feedback models emphasise the value of multiple feedback opportunities. Effective feedback participation requires evaluative judgement—the ability to discern the quality of one’s own and others’ work. Self and peer assessment may enable repeated practice and feedback for developing evaluative judgement. However, attitudes to self and peer assessment may present a barrier to effective implementation. This study explored whether congruence between marks from self and peer assessment improved with assessment task participation. Participants’ attitudes towards self and p

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Fujiwara, Kyosuke, Takayuki Yamamoto, Lindsey Tate, Kazuya Kibune, and Hiroki Tamura. "Judgement on Shunt Sounds from Vascular Access using YOLO Deep Learning Model." Proceedings of International Conference on Artificial Life and Robotics 27 (January 20, 2022): 544–49. http://dx.doi.org/10.5954/icarob.2022.gs2-4.

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Salas, Carlos R., Katsumi Minakata, and William L. Kelemen. "Walking before study enhances free recall but not judgement-of-learning magnitude." Journal of Cognitive Psychology 23, no. 4 (2011): 507–13. http://dx.doi.org/10.1080/20445911.2011.532207.

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Balatsoukas, Panos, Emmanouel Garoufallou, Anne Morris, et al. "Learners' perceptions on the importance of learning object metadata for relevance judgement." International Journal of Metadata, Semantics and Ontologies 7, no. 4 (2012): 283. http://dx.doi.org/10.1504/ijmso.2012.051490.

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Ting, Ming Hwa, Chi Meng Chu, Gerald Zeng, Dongdong Li, and Grace S. Chng. "Predicting recidivism among youth offenders: Augmenting professional judgement with machine learning algorithms." Journal of Social Work 18, no. 6 (2017): 631–49. http://dx.doi.org/10.1177/1468017317743137.

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Alhassan, Mohammed-Awal. "Teachers’ Moral Evaluation of Students in an Inclusive Secondary School: A Study of Minority Students’ Behaviour and School Performance." ATHENS JOURNAL OF EDUCATION 9, no. 2 (2022): 325–38. http://dx.doi.org/10.30958/aje.9-2-8.

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This study aims to analyze the issue of morality in a teaching and learning set up. After discussion and answering the question “Is it ever the case that teachers hold students morally blameworthy or praiseworthy for factors that are known to be beyond their control?” the study concludes that teachers hold students to be morally blameworthy or praiseworthy for factors that are beyond their control, because they do not fully comprehend their lack of control over their situation, which is still bad. The study also found that most teachers do not have a clear cross-cultural knowledge of minority

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Grant, L., P. Joo, B. Eng, A. Carrington, M. Nemnom, and V. Thiruganasambandamoorthy. "LO22: Risk-stratification of emergency department syncope by artificial intelligence using machine learning: human, statistics or machine." CJEM 22, S1 (2020): S15. http://dx.doi.org/10.1017/cem.2020.78.

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Introduction: The Canadian Syncope Risk Score (CSRS) is a validated risk tool developed using the best practices of conventional biostatistics, for predicting 30-day serious adverse events (SAE) after an Emergency Department (ED) visit for syncope. We sought to improve on the prediction ability of the CSRS and compared it to physician judgement using artificial intelligence (AI) research with modern machine learning (ML) methods. Methods: We used the prospective multicenter cohort data collected for the CSRS derivation and validation at 11 EDs across Canada over an 8-year period. The same 43 c

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