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  1. Sex differences in mathematical reasoning ability: Causes, consequences, and variability.Brian Mackenzie - 1988 - Behavioral and Brain Sciences 11 (2):201-202.
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  • What we really need is a theory of mathematical ability.Richard E. Mayer - 1988 - Behavioral and Brain Sciences 11 (2):202-203.
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  • Nature/nurture in male/female mathematical giftedness.Nora Newcombe & Mary Ann Baenninger - 1988 - Behavioral and Brain Sciences 11 (2):206-206.
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  • Evaluating explanations of sex differences in mathematical reasoning scores.Robert Rosenthal - 1988 - Behavioral and Brain Sciences 11 (2):207-208.
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  • An Inferential Model of Scientific Understanding.Mark Newman - 2012 - International Studies in the Philosophy of Science 26 (1):1 - 26.
    In this article I argue that two current accounts of scientific understanding are incorrect and I propose an alternative theory. My new account draws on recent research in cognitive psychology which reveals the importance of making causal and logical inferences on the basis of incoming information. To understand a phenomenon we need to make particular kinds of inferences concerning the explanations we are given. Specifically, we come to understand a phenomenon scientifically by developing mental models that incorporate the correct causal (...)
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  • Knowledge of God: The Paradox of Christian Education.M. H. Stannus - 1972 - Educational Philosophy and Theory 4 (1):29-46.
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  • A Comparative Analysis of the Additive and Regressive Effects of "Interest “on Individual’s Critical Thinking Ability from the Viewpoint of the Islamic Traditions.Sajjad Askari Matin, Jaafar Houshyari & Reza Montazeri Moghaddam - 2022 - Applied Issues in Islamic Education 7 (1):123-150.
    ABSTRACT Objective: In the bulk of literature on critical thinking, the influence of interest on cognitive and affective processes of individuals has always been a source of debate and disagreement; a reciprocal relationship to be detrimental or facilitative in the development and enhancement of critical thinking as a skill. The present paper aims at explaining and resolving the observed discrepancy, with the combination of a comparative (agreement method) and a (descriptive-analytical). Method: method, on the additive and regressive effect of “interest” (...)
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  • How Interactive Visualizations Compare to Ethical Frameworks as Stand-Alone Ethics Learning Tools for Health Researchers and Professionals.Joanna Sleigh, Kelly Ormond, Manuel Schneider, Elsbeth Stern & Effy Vayena - 2023 - AJOB Empirical Bioethics 14 (4):197-207.
    Background Despite the bourgeoning of digital tools for bioethics research, education, and engagement, little research has empirically investigated the impact of interactive visualizations as a way to translate ethical frameworks and guidelines. To date, most frameworks take the format of text-only documents that outline and offer ethical guidance on specific contexts. This study’s goal was to determine whether an interactive-visual format supports frameworks in transferring ethical knowledge by improving learning, deliberation, and user experience.Methods An experimental comparative study was conducted with (...)
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  • Proposal for a Five-Step Method to Elicit Expert Judgment.Duco Veen, Diederick Stoel, Mariëlle Zondervan-Zwijnenburg & Rens van de Schoot - 2017 - Frontiers in Psychology 8.
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  • History and physics.Roger H. Stuewer - 1998 - Science & Education 7 (1):13-30.
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  • Neuroanatomical sex differences: Of no consequence for cognition?Sandra F. Witelson - 1988 - Behavioral and Brain Sciences 11 (2):215-217.
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  • Bias and sampling error in sex difference research.Douglas Wahlsten - 1988 - Behavioral and Brain Sciences 11 (2):214-214.
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  • Neuropsychological factors and mathematical reasoning ability.Alan Searleman - 1988 - Behavioral and Brain Sciences 11 (2):209-210.
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  • Sex differences in arithmetic computation and reasoning in prepubertal boys and girls.Arthur R. Jensen - 1988 - Behavioral and Brain Sciences 11 (2):198-199.
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  • Spatial visualization and mathematical reasoning abilities.Sarah A. Burnett - 1988 - Behavioral and Brain Sciences 11 (2):187-188.
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  • From Searle’s Chinese room to the mathematics classroom: technical and cognitive mathematics.Dimitris Gavalas - 2006 - Studies in Philosophy and Education 26 (2):127-146.
    Employing Searle’s views, I begin by arguing that students of Mathematics behave similarly to machines that manage symbols using a set of rules. I then consider two types of Mathematics, which I call Cognitive Mathematics and Technical Mathematics respectively. The former type relates to concepts and meanings, logic and sense, whilst the latter relates to algorithms, heuristics, rules and application of various techniques. I claim that an upgrade in the school teaching of Cognitive Mathematics is necessary. The aim is to (...)
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  • Predicting who our future scientists and mathematicians will be.Helen S. Farmer - 1988 - Behavioral and Brain Sciences 11 (2):190-191.
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  • The new math: Is XY ≥ XX?Patricia S. Goldman-Rakic & Ann S. Clark - 1988 - Behavioral and Brain Sciences 11 (2):191-191.
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  • Sex differences in mathematical reasoning ability in intellectually talented preadolescents: Their nature, effects, and possible causes.Camilla Persson Benbow - 1988 - Behavioral and Brain Sciences 11 (2):169-183.
    Several hundred thousand intellectually talented 12-to 13-year-olds have been tested nationwide over the past 16 years with the mathematics and verbal sections of the Scholastic Aptitude Test (SAT). Although no sex differences in verbal ability have been found, there have been consistent sex differences favoring males in mathematical reasoning ability, as measured by the mathematics section of the SAT (SAT-M). These differences are most pronounced at the highest levels of mathematical reasoning, they are stable over time, and they are observed (...)
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  • The forgotten realm of genetic differences.Ada Zohar & Ruth Guttman - 1988 - Behavioral and Brain Sciences 11 (2):217-217.
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  • Sex differences in mathematics: Why the fuss?Lionel Tiger - 1988 - Behavioral and Brain Sciences 11 (2):212-212.
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  • Could these sex differences be due to genes?Steven G. Vandenberg - 1988 - Behavioral and Brain Sciences 11 (2):212-214.
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  • Hormones and sexual differentiation.Heidi H. Swanson - 1988 - Behavioral and Brain Sciences 11 (2):211-212.
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  • Creative mathematics: Do SAT-M sex effects matter?Diana Eugenie Kornbrot - 1988 - Behavioral and Brain Sciences 11 (2):200-201.
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  • Sex differences in mathematics: Is there any news here?Lila Ghent Braine - 1988 - Behavioral and Brain Sciences 11 (2):185-186.
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  • Learning in Virtual Reality: Bridging the Motivation Gap by Adding Annotations.Andrea Vogt, Patrick Albus & Tina Seufert - 2021 - Frontiers in Psychology 12.
    One challenge while learning scientific concepts is to select relevant information and to integrate different representations of the learning content into one coherent mental model. Virtual reality learning environments offer new possibilities to support learners and foster learning processes. Whether learning in VR is successful, however, depends to a large extent on the design of the VRLE and the learners themselves. Hence, adding supportive elements in VRLEs, such as annotations, might facilitate the learning process by guiding attention and supporting the (...)
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  • Factors influencing educational productivity.Herbert J. Walberg - 1988 - Behavioral and Brain Sciences 11 (2):214-215.
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  • Sex differences in mathematical talents remain unexplained.Earl Hunt - 1988 - Behavioral and Brain Sciences 11 (2):196-197.
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  • Sex differences in mathematical reasoning ability: Let me count the ways.Diane F. Halpern - 1988 - Behavioral and Brain Sciences 11 (2):191-192.
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  • Hormonal influences on human cognition: What they might tell us about encouraging mathematical ability and precocity in boys and girls.Melissa Hines - 1988 - Behavioral and Brain Sciences 11 (2):194-195.
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  • Sex-related differences in precocious mathematical reasoning ability: Not illusory, not easily explained.Camilla Persson Benbow - 1988 - Behavioral and Brain Sciences 11 (2):217-232.
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  • O Tempora, O Mores!H. J. Eysenck - 1988 - Behavioral and Brain Sciences 11 (2):189-190.
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  • A variety of brains?Richard A. Harshman - 1988 - Behavioral and Brain Sciences 11 (2):193-194.
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  • Causes of mathematical giftedness: Beware of left-handed compliments.Curtis Hardyck - 1988 - Behavioral and Brain Sciences 11 (2):192-193.
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  • Development and Evaluation of Affective Domain Using Student’s Feedback in Entrepreneurial Massive Open Online Courses.Wen-Hsiung Wu, Hao-Yun Kao, Sheng-Hsiu Wu & Chun-Wang Wei - 2019 - Frontiers in Psychology 10.
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  • Essentially Point-Less: The Influence Of Alternative, Non Points-Based Grading On Teachers' Instructional Practices.Jay C. Percell - unknown
    Grading is often a time-consuming, laborious task for teachers continuously required to document student performance. Simultaneously, among students there is intense competition for grades, which determine class ranks, college entrances, scholarship opportunities, as well as satisfy parental and societal expectations . Due to the importance of grades, some educators have sought to determine whether or not traditional grading systems are truly indicative of students' abilities . This study investigated alternative grading systems, especially those that were non points-based, and the influence (...)
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  • Mathematics, sex hormones, and brain function.Helmuth Nyborg - 1988 - Behavioral and Brain Sciences 11 (2):206-207.
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  • The Cartesian Heritage of Bloom’s Taxonomy.Brett Bertucio - 2017 - Studies in Philosophy and Education 36 (4):477-497.
    This essay seeks to contribute to the critical reception of Bloom’s Taxonomy of Educational Objectives by tracing the Taxonomy’s underlying philosophical assumptions. Identifying Bloom’s work as consistent with the legacy of Cartesian thought, I argue that its hierarchy of behavioral objectives provides a framework for certainty and communicability in ascertaining student learning. However, its implicit rejection of intuitive knowledge as well as its antagonism between the human subject and the known object promote the Enlightenment ideal of education as “intellectual work.” (...)
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  • The male/female difference is there: Should we care?Robert J. Steinberg - 1988 - Behavioral and Brain Sciences 11 (2):210-211.
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  • Biological influences on cognitive function.Doreen Kimura - 1988 - Behavioral and Brain Sciences 11 (2):200-200.
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  • Gamification of Learning Deactivates the Default Mode Network.Paul A. Howard-Jones, Tim Jay, Alice Mason & Harvey Jones - 2015 - Frontiers in Psychology 6.
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  • Mathematics as male pathology.John Money - 1988 - Behavioral and Brain Sciences 11 (2):205-206.
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  • Sex differences in variability may be more important than sex differences in means.Lloyd G. Humphreys - 1988 - Behavioral and Brain Sciences 11 (2):195-196.
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  • On throwing bones to environmentalists.Donald Symons - 1988 - Behavioral and Brain Sciences 11 (2):212-212.
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  • Causes of things and nature of things: Advice from Hughlings Jackson.Daniel W. Smothergill - 1988 - Behavioral and Brain Sciences 11 (2):210-210.
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  • Developing meaningful links between higher education and training.Reginald Melton - 1995 - British Journal of Educational Studies 43 (1):43-56.
    This paper examines ways in which inter-relationships between knowledge and skills can lead to important links between education and training to the considerable benefit of each. In particular it reviews the variety of ways in which the acquisition of knowledge can contribute to the development of competences and conversely the variety of ways in which the development of a broad range of skills can contribute to the acquisition of knowledge.
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  • Cerebral organization and mathematical ability.M. P. Bryden - 1988 - Behavioral and Brain Sciences 11 (2):186-187.
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  • Developing Meaningful Links between Higher Education and Training.Reginald Melton - 1995 - British Journal of Educational Studies 43 (1):43 - 56.
    This paper examines ways in which inter-relationships between knowledge and skills can lead to important links between education and training to the considerable benefit of each. In particular it reviews the variety of ways in which the acquisition of knowledge (in the widest sense of the term) can contribute to the development of competences and conversely the variety of ways in which the development of a broad range of skills (including competences) can contribute to the acquisition of knowledge.
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  • To understand sex differences we must understand reasoning processes.Nancy Ewald Jackson - 1988 - Behavioral and Brain Sciences 11 (2):197-198.
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  • The effects of selection and variability in studies of gender differences.Betsy Jane Backer & Larry V. Hedges - 1988 - Behavioral and Brain Sciences 11 (2):183-184.
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