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Results for 'F. Abd-Ei-Khalick'

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  1. Inquiry in science education: Intemational perspectives.F. Abd-Ei-Khalick,S. Boujaoude,N. G. Lederman,R. Mamilok-Naaman,A. Hofstein &M. Niaz -2004 -Science Education 88:397-419.
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  2.  40
    The Nature of Science and Science Education: A Bibliography.Randy Bell,Fouad Abd-El-Khalick,Norman G. Lederman,William F. Mccomas &Michael R. Matthews -2001 -Science & Education 10 (1):187-204.
    Research on the nature of science and science education enjoys a longhistory, with its origins in Ernst Mach's work in the late nineteenthcentury and John Dewey's at the beginning of the twentieth century.As early as 1909 the Central Association for Science and MathematicsTeachers published an article – ‘A Consideration of the Principles thatShould Determine the Courses in Biology in Secondary Schools’ – inSchool Science and Mathematics that reflected foundational concernsabout science and how school curricula should be informed by them. Sincethen (...) a large body of literature has developed related to the teaching andlearning about nature of science – see, for example, the Lederman and Meichtry reviews cited below. As well there has been intensephilosophical, historical and philosophical debate about the nature of scienceitself, culminating in the much-publicised ‘Science Wars’ of recent time. Thereferences listed here primarily focus on the empirical research related to thenature of science as an educational goal; along with a few influential philosophicalworks by such authors as Kuhn, Popper, Laudan, Lakatos, and others. Whilenot exhaustive, the list should prove useful to educators, and scholars in otherfields, interested in the nature of science and how its understanding can berealised as a goal of science instruction. The authors welcome correspondenceregarding omissions from the list, and on-going additions that can be made to it. (shrink)
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  3. Abd-El-Khalick, F., 787 Adúriz-Bravo, A., 27 Allchin, D., 315 Astore, WJ, 185.M. W. Aulls,M. Ben-Ari,A. Berarroch,M. Bunge,L. M. Burko,L. Cardellini,M. Cini,A. Cordero,K. C. De Berg &J. Dodick -2003 -Science & Education 12:807-808.
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  4. The nature of science and instructional practice: Making the unnatural natural.Fouad Abd-El-Khalick,Randy L. Bell &Norman G. Lederman -1998 -Science Education 82 (4):417-436.
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  5. On the role and use of “theory” in science education research: A response to Johnston, Southerland, and Sowell.Fouad Abd‐El‐Khalick &Valarie L. Akerson -2007 -Science Education 91 (1):187-194.
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  6. Inquiry in science education: International perspectives.Fouad Abd‐El‐Khalick,Saouma Boujaoude,Richard Duschl,Norman G. Lederman,Rachel Mamlok‐Naaman,Avi Hofstein,Mansoor Niaz,David Treagust &Hsiao‐lin Tuan -2004 -Science Education 88 (3):397-419.
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  7.  34
    Teaching Nature of Scientific Knowledge to Kindergarten Through University Students.Norman G. Lederman,Fouad Abd-El-Khalick &Mike U. Smith -2019 -Science & Education 28 (3):197-203.
  8. Learning as conceptual change: Factors mediating the development of preservice elementary teachers' views of nature of science.Fouad Abd‐El‐Khalick &Valarie L. Akerson -2004 -Science Education 88 (5):785-810.
     
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  9.  66
    Constructivism: Defense or a Continual Critical Appraisal A Response to Gil-Pérez et al.Mansoor Niaz,Fouad Abd-El-Khalick,Alicia Benarroch,Liberato Cardellini,Carlos E. Laburú,Nicolás Marín,Luis A. Montes,Robert Nola,Yuri Orlik,Lawrence C. Scharmann,Chin-Chung Tsai &Georgios Tsaparlis -2003 -Science & Education 12 (8):787-797.
    This commentary is a critical appraisal of Gil-Pérez et al.'s (2002) conceptualization of constructivism. It is argued that the following aspects of their presentation are problematic: (a) Although the role of controversy is recognized, the authors implicitly subscribe to a Kuhnian perspective of `normal' science; (b) Authors fail to recognize the importance of von Glasersfeld's contribution to the understanding of constructivism in science education; (c) The fact that it is not possible to implement a constructivist pedagogy without a constructivist epistemology (...) has been ignored; and (d) Failure to recognize that the metaphor of the `student as a developing scientist' facilitates teaching strategies as students are confronted with alternative/rival/conflicting ideas. Finally, we have shown that constructivism in science education is going through a process of continual critical appraisals. (shrink)
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  10.  30
    Examining the Representations of NOS in Educational Resources.Ryan Summers &Fouad Abd-El-Khalick -2019 -Science & Education 28 (3):269-289.
    Researchers have raised concerns about teachers’ ability to embed nature of science in their science instruction, a complicated situation that is certainly impacted by the availability of adequate resources to assist K-12 science teachers. In light of the implementation of the ideas from the Framework for K-12 Science Education and the Next Generation Science Standards in the USA, this study sought to identify and evaluate resources aimed at guiding NOS instruction. A search of the National Science Teachers Association database for (...) Next Generation Science Standards -aligned instructional resources resulted in an analytical sample of eight lessons. All materials accompanying these lessons were analyzed for their representations of 10 NOS aspects. The evaluation of these materials revealed a prevalence of implicit, naïve representations in the sample lessons. Examination of the connections to NOS in these lessons leads to a set of recommendations to improve the quantity and quality of NOS representations in future NGSS-aligned instructional resources. The analytical approach used and the issues raised about the presentation and treatment of NOS in precollege lessons are of interest to the broader science education community. (shrink)
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  11. Ūminu bil-insān.ʻAbd al-Munʻim Muḥammad Khallāf -1945
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  12. Uminu bi-al-insān.ʻAbd al-Munʻim Muḥammad Khallāf -1965 - al-Qāhirah: al-Majlis al-Aʻlá lil-Shuʼūn al-Islāmīyah.
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  13.  41
    Towards a Philosophically Guided Schema for Studying Scientific Explanation in Science Education.Sahar Alameh &Fouad Abd-El-Khalick -2018 -Science & Education 27 (9):831-861.
    Stemming from the realization of the importance of the role of explanation in the science classroom, the Next Generation Science Standards call for appropriately supporting students to learn science, argue from evidence, and provide explanations. Despite the ongoing emphasis on explanations in the science classroom, there seems to be no well-articulated framework that supports students in constructing adequate scientific explanations, or that helps teachers assess student explanations. Our motivation for this article is twofold: First, we think that the ways in (...) which researchers in science education have studied scientific explanation are, at best, leaves much to be desired and, at worst, simply incomplete. Second, we believe that research about the teaching and learning of explanation in science classrooms must be guided by explicit models or frameworks that specify elements involved in constructing explanations particularly applicable to science. More importantly, we think that the development of such models or guidelines should be based on theoretical and philosophical foundations. In order to develop these frameworks or guidelines, we first outline and clarify models of scientific explanation developed by philosophers of science over the last few decades. In the second section of this article, we present a more recent philosophical work on scientific explanation, the pragmatic approach to studying scientific explanations. This approach suggests a toolbox for analyzing scientists’ scientific explanations, which provides a useful instrument to science education. In Section 3, we discuss the ways by which the previous two sections are useful in developing a K-12 scientific explanation schema. Implications for future research on students’ explanations are discussed. (shrink)
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  14.  12
    al-Ḥadīth al-Nabawī al-sharīf wa-atharuhu fī bayān al-jawdah al-shāmilah fī al-iqtiṣād al-Islāmī.ʻAfīf ʻAbd al-Ḥāfiẓ Ghanīmāt -2014 - ʻAmmān: Dār Jalīs al-Zamān lil-Nashr wa-al-Tawzīʻ.
    Total quality; commerce; economics; religious aspects; Islam; Islamic ethics.
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  15. al-Kanz al-thamīn, al-murshid ilá al-manhajīyah al-ʻilmīyah.ʻAbd al-Raḥmān ibn ʻUbayd Allāh Saqqāf -2017 - [Ṣan'āʼ]: ʻAbd al-Raḥmān ibn ʻAbd Allāh al-Saqqāf. Edited by Muḥammad ibn ʻAbd Allāh Imām.
     
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  16.  6
    al-Imām Ibn Ḥazm al-Andalusī wa-masāruhu fī naqd al-Ḥadīth, 384 H-456 H.ʻAfīf ʻAbd al-Ḥāfiẓ Ghanīmāt -2017 - ʻAmmān: Dār Wāʼil lil-Nashr wa-al-Tawzīʻ.
  17.  10
    al-Islām wa-makārim al-akhlāq.ʻAbd al-Laṭīf &Muṣṭafá ʻAbd al-Wahhāb -2016 - Miṣr al-Jadīdah, al-Qāhirah: al-Maktab al-ʻArabī lil-Maʻārif.
    Islamic ethics; Muslims; conduct of life.
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  18.  23
    Breast Cancer Identification from Patients’ Tweet Streaming Using Machine Learning Solution on Spark.Nahla F. Omran,Sara F. Abd-el Ghany,Hager Saleh &Ayman Nabil -2021 -Complexity 2021 (1):6653508.
    Twitter integrates with streaming data technologies and machine learning to add new value to healthcare. This paper presented a real-time system to predict breast cancer based on streaming patient’s health data from Twitter. The proposed system consists of two major components: developing an offline building model and an online prediction pipeline. For the first component, we made a correlation between the features to determine the correlation between features and reduce the number of features from the Breast Cancer Wisconsin Diagnostic dataset. (...) Two feature selection algorithms are recursive feature elimination and univariate feature selection algorithms which are applied to features after correlation to select the essential features. Four decision trees, logistic regression, support vector machine, and random forest classifier have been used on features after correlation and feature selection. Also, hyperparameter tuning and cross-validation have been applied with machine learning to optimize models and enhance accuracy. Apache Spark, Apache Kafka, and Twitter Streaming API are used to develop the second component. The best model with the highest accuracy obtained from the first component predicts breast cancer in real time from tweets’ streaming. The results showed that the best model is the random forest classifier which achieved the best accuracy. (shrink)
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  19. Judhūr al-fikr al-Islāmī fī bīʼāt al-mutakallimīn wa-al-falāsifah al-Mutaṣawwifīn.Abū al-Saʻd &ʻAbd al-Raʼūf -2005 - Dimyāṭ [Egypt]: Maktabat Nānsī.
  20.  10
    Fī al-fikr al-falsafī al-ʻArabī al-muʻāṣir wa-asʼilatahu.Fatḥ al-Dīn &ʻAbd al-Laṭīf -2021 - Bayrūt: Muntadá al-Maʻārif.
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  21.  71
    Applying Deep Learning Methods on Time-Series Data for Forecasting COVID-19 in Egypt, Kuwait, and Saudi Arabia.Nahla F. Omran,Sara F. Abd-el Ghany,Hager Saleh,Abdelmgeid A. Ali,Abdu Gumaei &Mabrook Al-Rakhami -2021 -Complexity 2021 (1):6686745.
    The novel coronavirus disease is regarded as one of the most imminent disease outbreaks which threaten public health on various levels worldwide. Because of the unpredictable outbreak nature and the virus’s pandemic intensity, people are experiencing depression, anxiety, and other strain reactions. The response to prevent and control the new coronavirus pneumonia has reached a crucial point. Therefore, it is essential—for safety and prevention purposes—to promptly predict and forecast the virus outbreak in the course of this troublesome time to have (...) control over its mortality. Recently, deep learning models are playing essential roles in handling time-series data in different applications. This paper presents a comparative study of two deep learning methods to forecast the confirmed cases and death cases of COVID-19. Long short-term memory and gated recurrent unit have been applied on time-series data in three countries: Egypt, Saudi Arabia, and Kuwait, from 1/5/2020 to 6/12/2020. The results show that LSTM has achieved the best performance in confirmed cases in the three countries, and GRU has achieved the best performance in death cases in Egypt and Kuwait. (shrink)
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  22.  16
    ʻAbd al-Laṭīf al-Baġdādīs Bearbeitung von Buch Lambda der aristotelischen Metaphysik.ʻAbd al-Laṭīf al-Baghdādī &Muwaffaq al-Dīn -1976 - Wiesbaden: Steiner. Edited by Aristotle & Angelika Neuwirth.
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  23.  12
    Nature of Science Representations in Textbooks: A Global Perspective.Christine Mcdonald &Fouad Abd ElKhalick (eds.) -2016 - Routledge.
    Bringing together international research on nature of science representations in science textbooks, this unique analysis provides a global perspective on NOS from elementary to college level and discusses the practical implications in various regions across the globe. Contributing authors highlight the similarities and differences in NOS representations and provide recommendations for future science textbooks. This comprehensive analysis is a definitive reference work in science education.
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  24. Asʼilat al-fikr al-falsafī fī al-Maghrib.Kamāl ʻAbd al-Laṭīf -2003 - al-Dār al-Bayḍāʼ: al-Markaz al-Thaqāfī al-ʻArabī.
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  25.  11
    Iṣlāḥ al-nafs bayna al-Rāzī fī al-Ṭibb al-rūḥānī, wa-al-Kirmānī fī al-Aqwāl al-dhahabīyah.ʻAbd al-Laṭīf Muḥammad ʻAbd -1986 - al-Qāhirah: Dār al-Thaqāfah al-ʻArabīyah. Edited by Abū Bakr Muḥammad ibn Zakarīyā Rāzī & Ḥamīd al-Dīn Aḥmad ibn ʻAbd Allāh Kirmānī.
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  26. Rihānat al-falsafah wa-bīdāghūjiyā al-qiyam al-insānīyah: qaḍāyā wa-ishkālāt.ʻAbd al-Laṭīf Khamsī -2013 - al-Rabāṭ: Dār al-Tawḥīdī.
     
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  27. al-Fikr al-falsafī fī al-Islām.ʻAbd al-Laṭīf Muḥammad ʻAbd -1986 - al-Qāhirah: Dār al-Thaqāfah al-ʻArabīyah.
  28. al-Fikr al-falsafī fī al-Maghrib: qirāʼāt fī aʻmāl al-ʻArawī wa-al-Jābirī.Kamāl ʻAbd al-Laṭīf -2003 - al-Dār al-Bayḍāʼ: Afrīqiyā al-Sharq.
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  29.  11
    al-Fikr al-tarbawī ʻinda al-Kindī.Maḥmūd ʻAbd al-Laṭīf -2012 - Dimashq: Manshūrāt Ittiḥād al-Kuttāb al-ʻArab.
  30. al-Insān fī fikr Ikhwān al-Ṣafāʼ.ʻAbd al-Laṭīf Muḥammad ʻAbd -1976 - [al-Qāhirah]: Maktabat al-Anjlū al-Miṣrīyah.
  31. Fī al-falsafah al-ʻArabīyah al-muʻāṣirah.Kamāl ʻAbd al-Laṭīf -1992 - al-Kuwayt: Dār Suʻād al-Ṣabāḥ.
     
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  32. Qirāʼāt fī al-falsafah al-ʻArabīyah al-muʻāṣirah.Kamāl ʻAbd al-Laṭīf -1994 - Bayrūt: Dār al-Ṭalīʻah.
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  33.  7
    Suʼāl al-manhaj fī al-ʻulūm al-ijtimāʻīyah: bayna al-kharāʼiṭ al-falsafīyah wa-al-ijrāʼāt al-baḥthīyah.al-Sharīf Zarūkhī &ʻAbd al-Razzāq Balʻaqrūz (eds.) -2019 - Bayrūt: Muntadá al-Maʻārif.
  34. Madhāhib al-tafkīr al-ʻilmī wa-al-falsafī al-Islāmī wa-al-ʻArabī al-ḥadīth wa-al-muʻāṣir: manẓūr ḥaḍārī.Abū Qaḥf &Muḥammad Maḥmūd ʻAbd al-Ḥamīd -2000 - Ṭanṭā: Dār al-Ḥaḍārah lil-Ṭabāʻah wa-al-Nashr wa-al-Tawzīʻ.
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  35.  37
    Nashʼat al-taṣawwuf al-Islāmī: maṣādiruhu wa-taṭawwuruhu wa-marāḥiluhu al-falsafīyah wa-ʻulūmuhu ḥattá al-ʻuṣūr al-mutaʼakhkhirah.Abū Qaḥf &Muḥammad Maḥmūd ʻAbd al-Ḥamīd -2023 - al-Iskandarīyah: Dār al-Wafāʼ li-Dunyā al-Ṭibāʻah wa-al-Nashr.
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  36. Dawr al-qiyam fī al-taghyīr al-ijtimāʻī: ḥālat Jamʻīyat al-ʻAfāf al-Khayrīyah fī al-Urdun.ʻAbd al-Laṭīf ʻArabīyāt -2004 - ʻAmmān: Jamʻīyat al-ʻAfāf al-Khayrīyah.
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  37. al-Madhāhib al-falsafīyah al-ilḥādīyah al-rūḥīyah wa-taṭbīqātihā al-muʻāṣirah.Fawz Bint ʻabd Al-LaṭĪF Ibn KāMil Kurdī -2015 - Jiddah: Markaz al-Taʼṣīl lil-Dirāsāt wa-al-Buḥūth.
     
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  38.  8
    Sharḥ al-Qaṣīdah al-ʻaynīyah fī al-nafs wa-al-rūḥ li-Ibn Sīnā: yalīhā thalāth rasāʼil dhayyala bi-hā al-Munāwī kitābah: Risālat al-Ṭayr, wa-Risālah fī al-mabdaʼ wa-al-miʻād li-Ibn Sīnā wa-Risālah fī sharḥ Ḥadīth "al-Nās niyām fa-idhā mātū intabahū" lil-Munāwī.ʻAbd al-Raʼūf ibn Tāj al-ʻĀrifīn Munāwī -2021 - al-Qāhirah: Dār al-Iḥsān lil-Nashr wa-al-Tawzīʻ. Edited by ʻAmr Yūsuf Muṣṭafá Jundī, Avicenna & ʻAbd al-Raʼūf ibn Tāj al-ʻĀrifīn Munāwī.
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  39.  6
    Ḥafrīyāt fī al-hīrmūnīṭīqā: abḥāth wa-dirāsāt.ʻĀmir ʻAbd Zayd Wāʼilī,Bin Dūbah &Sharīf al-Dīn (eds.) -2020 - Baghdād, al-ʻIrāq: Bayt al-Ḥikmah.
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  40.  13
    Mawsūʻat ʻilm al-kalām al-wasīṭ wa-al-muʻāṣir.ʻĀmir ʻAbd Zayd Wāʼilī,Bin Dūbah &Sharīf al-Dīn (eds.) -2017 - Bayrūt: Dār al-Rawāfid al-Thaqāfīyah - Nāshirūn.
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  41.  8
    al-Dīn wa-al-insān wa-al-ʻālam L.Aḥmad ʻAbd al-Jawād Zāyidah &Hibah Raʼūf ʻIzzat (eds.) -2017 - al-Qāhirah: Dār al-Marāyā lil-Intāj al-Thaqāfī.
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  42.  11
    al-Jawāhir al-maḍīyah fī bayān al-ādāb al-sulṭānīyah.ʻAbd al-Raʼūf ibn Tāj al-ʻĀrifīn Munāwī -2013 - al-Riyāḍ: Jāmiʻat al-Malik Saʻūd, al-Nashr al-ʻIlmī wa-al-Maṭābiʻ. Edited by ʻAbd al-ʻAzīz ibn Ibrāhīm ibn ʻAbd al-ʻAzīz Nāṣir.
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  43. al-Islām wa-nazʻat al-fiṭrah.Muḥammad ʻAbd al-Raʼūf Bahnasī -1962
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  44.  5
    Buḥūth fī madrasat al-Ṣadr: bayna al-Khaldūnīyah wa-al-Hayghalīyah, tarbiyah wāqiʻīyah wa-falsafah muntaṣirah.ʻAbd al-Laṭīf Ḥirz -2010 - Bayrūt: Dār al-Fārābī.
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  45. Istirātījīyat taʼwīl al-khiṭāb al-dīnī ʻinda Muḥammad Arkūn.ʻAbd al-Laṭīf Badādī -2024 - al-Shāriqah, Dawlah al-Imārāt al-ʻArabiyah al-Mutaḥidah: Ṣafaḥāt lil-Dirāsāt wa-al-Nashr.
     
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  46. Hamāhangī-i afkār-i dū faylasūf: Aflāṭūn va Arisṭū.Abd Al-Muhsin Farabi &Mishkat Al-Dini -1975 - [Tehran]: Shūrā-yi ʻĀlī-i Farhang va Hunar. Edited by Mishkāt al-Dīnī & ʻAbd al-Muḥsin.
  47. Hākadhā takallama al-Qaṣīmī: al-baḥth ʻan al-insān.ʻAbd al-Laṭīf Ṣiddīqī -2014 - al-Dār al-Bayḍāʼ: Afrīqiyā al-Sharq.
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  48.  13
    al-Intāj al-falsafī fī al-fikr al-ʻArabī al-muʻāṣir fī uṭrūḥāt Nāṣīf Naṣṣār =.ʻAbd al-Wāḥid Āyat Zayn -2020 - Bayrūt: Markaz Dirāsāt al-Waḥdah al-ʻArabīyah. Edited by Nāṣīf Naṣṣār.
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  49.  8
    al-Jafāf al-rūḥī: qirāʻah fī al-asbāb wa-al-ʻilājāt (fī thawbihi al-jadīd).ʻAbd Allāh Ghurayfī -2021 - [Beirut?]: Maktabat al-Imām al-Muntaẓar (ʻAjj) al-Thaqāfīyah.
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  50. al-Ḥaqq al-Islāmī fī al-ikhtilāf al-fikrī.Ṭāhā ʻAbd al-Raḥmān -2005 - al-Dār al-Bayḍāʼ: al-Markaz al-Thaqāfī al-ʻArabī.
     
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