Relevant bibliographies by topics / Guided Discovery Method

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Guided Discovery Method'

Author: Grafiati
Published: 3 June 2025
Last updated: 23 June 2025

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Journal articles on the topic "Guided Discovery Method"

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Wu, Zhaohui. "A Study of the Application of Guided Discovery Method in English Grammar Teaching in Junior High School." Studies in English Language Teaching 11, no. 4 (2023): p25. http://dx.doi.org/10.22158/selt.v11n4p25.

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Grammar is an important part of language. However, in actual grammar teaching, teachers directly impart grammar rules and students passively accept them. This has led to students’ disinterest in English grammar lessons and unsatisfactory grammar learning results. In order to promote students’ grammar learning, in recent years, some experts and scholars have begun to explore the application of guided discovery method in grammar classrooms. Guided discovery method is a teaching method that emphasizes guidance and focuses on discovery. Through setting up a situation, the teacher guides students to engage in the discovery activity of grammar rules by communicating with each other.This thesis uses questionnaire survey and interviews to analyze the application of guided discovery method in junior high school English grammar classrooms, as well as to analyze the positive effects of junior high school English teachers’ use of the guided discovery method on students’ grammar learning. Based on Bruner’s Discovery Learning Theory and Piaget’s Constructivism Learning Theory, this thesis takes Nanning High-tech Industrial Development Zone Minda Middle School as an example. It was found that under the guidance of guided discovery method, students’ interest and motivation in learning grammar have improved. Also, students’ autonomous learning abilities have been enhanced. Finally, students’ grammar learning strategies were cultivated through guided discovery method. Students can summarize grammar knowledge and solve grammar problems by reasoning and inducting. However, there are a small number of students who still do not have that strong learning ability cannot understand the tasks assigned by the teacher in class, so they do not learn grammar efficiently.
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Batubara, Ismail Hanif. "PENINGKATAN KEMAMPUAN BERPIKIR KRITIS MAHASISWA MELALUI METODE PENEMUAN TERBIMBING BERBANTUAN SOFTWARE GEOGEBRA PADA MATA KULIAH KALKULUS PEUBAH BANYAK DI FKIP UMSU." MES: Journal of Mathematics Education and Science 4, no. 2 (2019): 152–59. http://dx.doi.org/10.30743/mes.v4i2.1291.

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Abstract. The purpose of this study was to find out: (1) Is the increase in mathematical critical thinking abilities of students given the guided discovery method assisted by Geogebra software higher than students who were given guided discovery method learning without Geogebra software, (2) Are their interactions between learning with students 'initial mathematical abilities towards improving students' critical thinking skills. This research is a quasi-experimental study. The population of this study is that all classes in the fourth-semester mathematics education study program are approximately 120 people. Randomly, two classes were chosen from four classes. The experimental class was treated with Geogebra assisted guided discovery methods and the control class was treated with a guided discovery method without the help of Geogebra. Data analysis was performed by analysis of two-way variance (ANAVA). The results showed (1) Improvement of mathematical critical thinking skills of groups of students who obtained guided discovery method learning using GeoGebra software was higher than the group of students who received learning through guided discovery methods without GeoGebra software. (2) There is no interaction between the learning model and the initial ability of students in improving students' critical thinking skills in mathematics.Keywords: Critical Thinking Ability, Guided Discovery Method, Geogebra
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Batubara, Ismail Hanif. "PENINGKATAN KEMAMPUAN PEMAHAMAN KONSEP MELALUI METODE PENEMUAN TERBIMBING BERBANTUAN SOFTWARE AUTOGRAPH PADA MATA KULIAH KALKULUS PEUBAH BANYAK DI FKIP UMSU." MES: Journal of Mathematics Education and Science 4, no. 1 (2018): 51–58. http://dx.doi.org/10.30743/mes.v4i1.869.

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Abstract. The purpose of this study was to find out: (1) Is the improvement in students' understanding of mathematical concepts given guided discovery method assisted by software Autograph higher than students who were given guided discovery method learning without Autograph software, (2) Is there an interaction between learning with students' initial mathematical ability to increase the ability to understand student mathematical concepts. This research is a quasi-experimental study. The population of this study is that all classes in the fourth semester mathematics education study program are approximately 184 people. Randomly, two classes were selected from six classes. The experimental class was treated with a guided discovery method assisted by autograph and control class given a guided discovery method without the help of autograph. The instrument used is a description test. Data analysis was performed by analysis of two-way variance (ANAVA). The results showed (1) Increased ability to understand mathematical concepts of groups of students who obtained guided discovery method learning using Autograph software higher than the group of students who received learning through guided discovery methods without software autograph. (2) There is no interaction between the learning model and the initial ability of students to increase the ability to understand students' mathematical concepts.Keywords: ability of concept understanding, Guided Discovery Method, Autograph Software.
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Kadir, Fitriani, Imam Permana, I. Gede Purwana Edi Saputra, and Azmar. "Effect of Guided Discovery Methods on Students' Motivation and Learning Outcomes." Jurnal Penelitian Pendidikan IPA 9, no. 11 (2023): 9893–98. http://dx.doi.org/10.29303/jppipa.v9i11.4326.

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This research aimed to determine the effect of guided discovery methods on students' motivation and learning outcomes by compare the result on guided discovery method and conventional learning method at MAN 2 Model Makassar. The research method was true experiment with randomized posttest only control group design. The sample of the research were determined randomly by using group random sampling technique and obtained two classes. The first class was the experiment class which was taught by guided discovery method and the second class was control class which was taught by conventional method. Each class consisted of 42 students. The result obtaint that physics learning motivation and physics learning outcome of the students who were taught by guided discovery learning method is higher than conventional learning method.
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Sari, Sri Riska Ade Permana, Nurhastuti Nurhastuti, and Fitriani Fitriani. "Meningkatkan kemampuan mengenal pecahan pada anak tunagrahita melalui metode Guided Discovery." LITERAL: Disability Studies Journal 2, no. 01 (2024): 8–14. http://dx.doi.org/10.62385/literal.v2i01.101.

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This research is motivated by the issues in SLB N 1 Padang concerning students in class VIII C who have low learning outcomes in understanding fractions. The assessment results found that students have difficulty understanding fractions, thus requiring a method to teach fractions, namely the Guided Learning method. This research aims to improve the process and learning outcomes of understanding fractions through the Guided Learning Method. The research method used is Classroom Action Research with qualitative data analysis. This research was conducted at SLBN 1 Padang with subjects being intellectually disabled children totaling 4 students in class VIII C. Based on the research results, the Guided Learning Method can improve the ability to understand fractions. This is evident from the increased learning outcomes of students in each cycle. This guided learning method could increase participation in learning and help students understand the material well because the teacher guides them at each stage of learning.
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IDOLLO, Ejiro, and Emperor KPANGBAN. "Effects of Guided Discovery Teaching Method on Basic Science Students' Achievement in Secondary Schools in Delta North Senatorial District." FUO-Journal of Educational Research 4, no. 1 (2025): 201–9. https://doi.org/10.5281/zenodo.14873360.

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<strong>Abstract</strong> This study examined the&nbsp;effects of guided discovery teaching method on Basic Science students&rsquo; achievement in secondary schools in Delta North Senatorial District. The study employed a Pre-test, Post-test, Non-Equivalent control group, Quasi-experimental design. <strong>&nbsp;</strong>The total population of the study was six thousand, eight hundred and two (6,802) which consist of all junior secondary school Basic science students in Delta North Senatorial District. The sample of the study is made up of 228 (107 for experimental group and 121 for control group) Basic science students sampled from four (4) local government areas using four (4) schools in the senatorial district, using random sampling technique. Basic Science Achievement Test (BSAT) was used for data collection. BSAT has a reliability coefficient value of 0.77 obtained using Kuder Richardson formula (21). The data obtained was analyzed using mean, standard deviation, t-test and analysis of covariance (ANCOVA). The result of the study showed that: students taught Basic Science using guided discovery performed significantly better than their counterparts taught with lecture method. Additionally, the study concludes that there was no statistically significant interaction effect between instructional method and sex of students taught using guided discovery and the lecture method. The study recommends amongst others that educational authorities and school administrators should integrate the guided discovery teaching method into the Basic Science curriculum, ensuring that teachers are trained to effectively utilize this approach to enhance students learning outcome.
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Dvořáková, I., and V. Koudelková. "Guided Discovery Teacher Training Online." Journal of Physics: Conference Series 2750, no. 1 (2024): 012029. http://dx.doi.org/10.1088/1742-6596/2750/1/012029.

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Abstract This paper presents our experience with online teacher workshops led by the guided discovery method. It gives concrete examples of the different activities we have tried in 2020-2021. The article also specifies the minimum necessary technical equipment of the workplace for online learning and the necessary organizational support. We did not conduct any statistical research on the effectiveness of our work during the online learning process, so here are quotes from teachers from the feedback we collected from each workshop.
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Nasution, Melda, Dodik Mulyono, and Lucy Asri Purwasi. "Penerapan Metode Penemuan Terbimbing pada Pembelajaran Matematika." Journal of Education and Instruction (JOEAI) 1, no. 2 (2018): 66–73. http://dx.doi.org/10.31539/joeai.v1i2.394.

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The purpose of the study was to apply the guided discovery method to the learning of Mathematics of Class VIII Students of Muhammadiyah Middle School 2 Tugumulyo. The research method used was a quasi-experimental method (Quasi experiment) which was carried out in an experimental class without a comparison group (control group). The population was the eighth grade students of junior high school with the total number 127 students. The sample was the students of VIII.b class which was taken randomly by means of gambling. Data analysis used in this research was t test, obtained thit = 2.92&gt; ttab = 1.69, so that students' mathematical learning outcomes after the implimentation of guided discovery methods had been completed. The score of the average learning value of students using guided discovery method was 80.80. In conclusion, the implementation of guided learning methods was very appropriate in mathematics learning.&#x0D; Keywords: Discovery Learning Methods, Learning Outcomes, Mathematics.
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Ishartono, Naufal, Dwi Juniati, and Agung Lukito. "Developing Mathematics Teaching Devices in the Topic of Trigonometry Based on Guided Discovery Teaching Method." JRAMathEdu (Journal of Research and Advances in Mathematics Education) 1, no. 2 (2016): 154–71. http://dx.doi.org/10.23917/jramathedu.v1i2.4827.

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This research is categorized as Research and Development (R &amp; D). As developed in this research is learning device that consists of lesson plan, student worksheet, and test. This research adopts ADDIE as a R &amp; D model that stands for Analysis, Design, Development, Implementation, and Evaluation. The aim of this study are to describe the development process and to produce trigonometry learning device based on guided discovery method for students of grade XI Natural Science, as well as determine the effectiveness of trigonometry learning process using Guided Discovery method. To produce the trigonometry learning device based on guided discovery method for students of grade XI Natural Science, so it requires a validation from the experts and a trial to determine its practicability and effectiveness. According to the result of data analysis, it can be concluded: (1) trigonometry learning device based on guided discovery method for students of grade XI Natural Science fulfills criterion of valid, effective and practically, and (2) trigonometry learning process based on guided discovery method is effective.
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J. N., Jacob,. "Effect of Guided Discovery Instructional Approach on Junior Secondary School Two Students' Interest in Social Studies in Umuahia Education Zone, Abia State." British Journal of Education, Learning and Development Psychology 7, no. 3 (2024): 66–75. http://dx.doi.org/10.52589/bjeldp-5t02ozmw.

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Introduction: Education is critical for both individual and national development, representing the most vital investment for sustainable progress. In Nigeria, social studies at the basic education level aims to foster national consciousness, instill essential values and develop skills for societal contribution. Despite these well-defined objectives, the National Teachers’ Institute has noted that the implementation of social studies has not fully achieved its goals. Therefore, the Guided Discovery Method, one of the powerful instructional approaches designed to achieve these objectives, guides and motivates learners to explore information, build new ideas, and create new models of thinking and behaviour. Aim: The study investigated the effect of Guided Discovery Instructional Approach on the Interest level of Junior Secondary School Students in Social Studies in Umuahia Education Zone of Abia State. Materials and Methods: The design adopted for the study was quasi-experimental design. Three research questions and three hypotheses were formulated respectively. The population of the study was 6,160 and 308 junior secondary students was sampled from the population respectively. The instrument for data collection was Social Studies Interest Scale (SOSIS). The research questions were answered using descriptive statistics of mean and standard deviation. The null hypotheses formulated were tested at 0.05 level of significance using Analysis of Co-variance (ANCOVA). Results: Students taught using the Guided Discovery Instructional Approach (Experimental Group) have higher post-test mean interest scores and greater mean gain in interest compared to those taught using the Expository Method (Control Group). This indicates that the guided discovery instructional approach is more effective in increasing students' interest in social studies. Female students have a higher post-test mean interest score and a greater mean gain in interest compared to male students. This indicates that the guided discovery instructional approach has a more significant impact on the interest levels of female students in social studies. Finally, the result on interaction effects of method of instruction and gender on students’ interest indicated that the guided discovery instructional approach appears to be more effective in increasing interest in social studies for both male and female students, with a particularly strong effect on female students. Conclusion: The study concluded that the guided discovery instructional approach showed to be a better teaching method for increasing students’ interest in social studies, especially among female students, thus sustaining its adoption and implementation in educational settings to achieve the desired educational results.
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Dissertations / Theses on the topic "Guided Discovery Method"

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Brandão, Márcio da Costa Pereira. "An embodiment of Schoenberg's method of teaching musical harmony in a guided discovery learning environment." Thesis, University of Edinburgh, 2002. http://hdl.handle.net/1842/23732.

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Most traditional musical harmony teaching methods in use in undergraduate courses are centred on pedagogical principles that require students to manipulate musical elements, beyond those directly relevant to the subject matter. Beginning harmony students often encounter extra difficulty in the learning process as they usually lack experience in manipulating individual musical elements. In addition, the emphasis on exemplars of the common practice of eighteenth and nineteenth century composers imposes some limitation on the student’s harmonic vocabulary and, in consequence, on the student’s creativity. At the beginning of the twentieth century, Arnold Schoenberg proposed a method of teaching harmony which presented a different set of pedagogical principles: the method required no background knowledge of other musical elements; it encouraged the exploration of the search space of solutions which, in conjunction with a self assessment of them, helps students to develop their own harmonic sense, without the influence of exemplars of the harmonic practice of existing composers. However, although Schoenberg’s method addresses the problems presented above, it has not been widely used, mostly because its fundamental pedagogy and curriculum are buried in lengthy philosophical discussions of polemical arguments and criticism of traditional methods. This thesis investigates the possibility of designing and constructing a computer-based learning environment presenting the pedagogy and curriculum of Schoenberg’s harmonic teaching method while remaining true to its spirit. We present a formalisation of part of the method’s curriculum and associated pedagogical principles, which have been embodied in a prototype learning environment. The results from studies involving the prototype are also presented: a formative evaluation was carried out with music experts aiming to assess its interactive music notation human computer interface and to inform changes and improvements to be made to the prototype; and a summative evaluation was conducted with music lecturers to assess not only the degree of faithfulness of the environment to the method, but also the educational benefits that such an environment can potentially bring to harmony teaching.
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Lohman, Margaret C. "The effects of a guided discovery versus a deductive training method on supervisors' ability to solve problems and facilitate problem- solving skill of subordinates /." Connect to resource, 1994. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1250104650.

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Penny, Lori Lynn. "Mind the Gap: An Integration of Art and Science in Music Theory Pedagogy." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42032.

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My inquiry, centered on the applied practice of teaching, confronts the detachment that often disassociates the intellectual study of music theory from the physical experience of music. This pedagogical detachment, perceived as a split between opposing views of knowledge, privileges positivist science over interpretive art (Aróstegui, 2003), producing written competencies that have little or no musical meaning (Rogers, 2004). Endeavouring to re-attach music theory and the music it was initially intended to explain (Dirié, 2014), I constructed four Listening Guides to align with the intermediate-level theory curriculum of the Royal Conservatory of Music. Their construction incorporates elements of design research along with an underlying framework derived from the Kodály Method’s four-step instructional process. Given my multi-faceted personal/professional interactions with music theory, my research project is presented in the form of a quest narrative that weaves together my story and the stories of participant teachers who established the Listening Guides’ potential usefulness through reviewing and implementing interactions. This narrative, as a creative representation of arts-based research practices (Leavy, 2015), is derived from the blurring of specific cognitive findings and less definable aesthetic knowings (Greenwood, 2012). My data, both the prototypical data I designed and the empirical data I collected from focus group discussions with my participants, are filtered through an a/r/tographic lens that acknowledges the coexistence of my artist/researcher/teacher identities. The analysis of our aggregate narrative, as an exploration of music theory pedagogy with, about, in, and through music, relies on the evaluative tools of educational criticism (Eisner, 1991). Unfolding in a mostly linear climb, my quest for a fully integrated music/theory (art/science) pedagogy reaches its apex in the understanding that a music-logic organization confounds the subject-logic of traditional teaching approaches. Thus, my inquiry challenges the customary practices of scientific knowledge-building with a model for artistic “ways-of-knowing” in music theory pedagogy.
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Thomas, Sherine Elizabeth. "Targeting Mycobacterium abscessus infection in cystic fibrosis : a structure-guided fragment-based drug discovery approach." Thesis, University of Cambridge, 2019. https://www.repository.cam.ac.uk/handle/1810/289126.

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Recent years have seen the emergence of Mycobacterium abscessus, a highly drug-resistant non-tuberculous mycobacterium, which causes life-threatening infections in people with chronic lung conditions like cystic fibrosis. This opportunistic pathogen is refractory to treatment with standard anti-tuberculosis drugs and most currently available antibiotics, often resulting in accelerated lung function decline. This project aims to use a structure-guided fragment-based drug discovery approach to develop effective drugs to treat M. abscessus infections. During the early stage of the project, three bacterial targets were identified, based on analysis of the structural proteome of M. abscessus and prior knowledge of M. tuberculosis drug targets, followed by gene knockout studies to determine target essentiality for bacterial survival. The three targets from M. abscessus were then cloned, expressed and purified and suitable crystallization conditions were identified leading to the determination of high resolution structures. Further, a large number of starting fragments that hit the three target proteins were determined, using a combination of biophysical screening methods and by defining crystal structures of the complexes. For target 3, PPAT (Phosphopantethiene adenylyl transferase), a chemical linking of two fragments followed by iterative fragment elaboration was carried out to obtain two compounds with low micromolar affinities in vitro. However, these compounds afforded only low inhibitory activity on M. abscessus whole cell. All starting fragments of target 2, PurC (SAICAR synthase), occupied the ATP indole pocket. Efforts were then made to identify further fragment hits by screening diverse libraries. Sub-structure searches of these initial fragment hits and virtual screening helped to identify potential analogues amenable to further medicinal chemistry intervention. While fragment hits of target 1, TrmD (tRNA-(N1G37) methyl transferase), were prioritized, whereby two chemical series were developed using fragment growing and merging approaches. Iterative fragment elaboration cycle, aided by crystallography, biophysical and biochemical assays led to the development of several potential lead candidates having low nano-molar range of in vitro affinities. Two such compounds afforded moderate inhibition of M. abscessus and stronger inhibition of M. tuberculosis and S. aureus cultures. Further chemical modifications of these compounds as well as others are now being done, to optimize cellular and in vivo activities, to be ultimately presented as early stage clinical candidates.
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Lu, Jen-Hau, and 呂焌豪. "Research on applying guided discovery teaching method to the learning effects of students’ awareness of sports safety." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/16526162083261842397.

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碩士<br>國立體育大學<br>運動科學研究所<br>102<br>Sports safety in campus has been always a major concerned. Injure not only hindered students’ physical and mental development but also wasted the medical resources. The purpose of this study is to investigate the effect of students’ awareness through teachers’ guided instruction of sports safety. This study used “D. P. Ausubel’s Advance Organizers,” the teaching model as a theory base, and combined with “J. S. Bruner’s Learning by Discovery”. The researcher conducted the sport safety awareness questionnaire as a pre-test to the students in grade 7 from Taipei City. Then, select two classes composed of 22 boys and 23 girls with no significant difference on their academic performance and form them into the contrast and the control group. At last, “Guided Discovery” teaching method and “Traditional teaching method” are implemented seperately to analyze with independent t-test (α=.05). The findings are: 1. although students’ prior knowledge of sports safety were obviously insufficient; 2. the performance of students significantly improved after these two types of teaching methods. Furthermore, the performance of students from the contrast group was significantly better than the control group. Conclusion: the instruction of sports safety awareness is recommended to be conducted with diverse ways in teaching. When students’ interest and attention increase, learning effects could then be improved and fewer injuries will happen. The philosophy of education” No safety, No teaching; No health, No learning” will therefore be realized.
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Books on the topic "Guided Discovery Method"

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Alexandros, Makriyannis, and Biegel Diane 1952-, eds. Drug discovery strategies and methods. Marcel Dekker, 2004.

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Stokes, Dermot. History projects: The art of discovery : a guide for teachers. CDVEC Curriculum Development Unit, 1986.

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N, Forthofer Ronald, and Lee Eun Sul, eds. Introduction to biostatistics: A guide to design, analysis, and discovery. Academic Press, 1995.

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Sul, Lee Eun, ed. Introduction to biostatistics: A guide to design, analysis, and discovery. Academic Press, 1995.

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Royal Society of Chemistry (Great Britain), ed. Natural product chemistry for drug discovery. Royal Society of Chemistry, 2010.

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Lisa, Minor, ed. Handbook of assay development in drug discovery. Taylor & Francis, 2006.

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Sergey, Ilyin, ed. Functional informatics in drug discovery. CRC Press, 2008.

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Patrick, Bultinck, ed. Computational medicinal chemistry for drug discovery. Marcel Dekker, 2003.

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service), ScienceDirect (Online, ed. Real world drug discovery: A chemist's guide to biotech and pharmaceutical research. Elsevier, 2008.

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1965-, Alvarez Juan, and Shoichet Brian 1963-, eds. Virtual screening in drug discovery. Taylor & Francis, 2005.

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Book chapters on the topic "Guided Discovery Method"

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Neenan, Michael, and Windy Dryden. "Socratic Questioning (A Method Of Guided Discovery)." In Cognitive Behaviour Therapy. Routledge, 2020. http://dx.doi.org/10.4324/9781003134053-66.

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Wright, M., M. Centelles, W. Gedroyc, and M. Thanou. "CHAPTER 1. Image Guided Focused Ultrasound as a New Method of Targeted Drug Delivery." In Drug Discovery. Royal Society of Chemistry, 2018. http://dx.doi.org/10.1039/9781788010597-00001.

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Finkbeiner, Bernd, Niklas Metzger, and Yoram Moses. "Information Flow Guided Synthesis." In Computer Aided Verification. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13188-2_25.

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AbstractCompositional synthesis relies on the discovery of assumptions, i.e., restrictions on the behavior of the remainder of the system that allow a component to realize its specification. In order to avoid losing valid solutions, these assumptions should be necessary conditions for realizability. However, because there are typically many different behaviors that realize the same specification, necessary behavioral restrictions often do not exist. In this paper, we introduce a new class of assumptions for compositional synthesis, which we call information flow assumptions. Such assumptions capture an essential aspect of distributed computing, because components often need to act upon information that is available only in other components. The presence of a certain flow of information is therefore often a necessary requirement, while the actual behavior that establishes the information flow is unconstrained. In contrast to behavioral assumptions, which are properties of individual computation traces, information flow assumptions are hyperproperties, i.e., properties of sets of traces. We present a method for the automatic derivation of information-flow assumptions from a temporal logic specification of the system. We then provide a technique for the automatic synthesis of component implementations based on information flow assumptions. This provides a new compositional approach to the synthesis of distributed systems. We report on encouraging first experiments with the approach, carried out with the BoSyHyper synthesis tool.
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Das, Deepak, and Syed Shafi. "Bioactivity-Guided Fractionation and Identification of Bioactive Molecules: A Basic Method in Drug Discovery." In Drugs and a Methodological Compendium. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7952-1_3.

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Luo, Gaifang, Guowu Yuan, Guoliang Li, Hao Wu, and Liang Dong. "A Noise Reduction Method for Solar Radio Spectrum Based on Improved Guided Filter and Morphological Cascade." In Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32591-6_88.

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Bouajjani, Ahmed, Wael-Amine Boutglay, and Peter Habermehl. "Data-driven Numerical Invariant Synthesis with Automatic Generation of Attributes." In Computer Aided Verification. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13185-1_14.

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AbstractWe propose a data-driven algorithm for numerical invariant synthesis and verification. The algorithm is based on the ICE-DT schema for learning decision trees from samples of positive and negative states and implications corresponding to program transitions. The main issue we address is the discovery of relevant attributes to be used in the learning process of numerical invariants. We define a method for solving this problem guided by the data sample. It is based on the construction of a separator that covers positive states and excludes negative ones, consistent with the implications. The separator is constructed using an abstract domain representation of convex sets. The generalization mechanism of the decision tree learning from the constraints of the separator allows the inference of general invariants, accurate enough for proving the targeted property. We implemented our algorithm and showed its efficiency.
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Sharma, Sahil, and Cynthia M. Sharma. "Identification of RNA Binding Partners of CRISPR-Cas Proteins in Prokaryotes Using RIP-Seq." In Methods in Molecular Biology. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1851-6_6.

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AbstractCRISPR-Cas systems consist of a complex ribonucleoprotein (RNP) machinery encoded in prokaryotic genomes to confer adaptive immunity against foreign mobile genetic elements. Of these, especially the class 2, Type II CRISPR-Cas9 RNA-guided systems with single protein effector modules have recently received much attention for their application as programmable DNA scissors that can be used for genome editing in eukaryotes. While many studies have concentrated their efforts on improving RNA-mediated DNA targeting with these Type II systems, little is known about the factors that modulate processing or binding of the CRISPR RNA (crRNA) guides and the trans-activating tracrRNA to the nuclease protein Cas9, and whether Cas9 can also potentially interact with other endogenous RNAs encoded within the host genome. Here, we describe RIP-seq as a method to globally identify the direct RNA binding partners of CRISPR-Cas RNPs using the Cas9 nuclease as an example. RIP-seq combines co-immunoprecipitation (coIP) of an epitope-tagged Cas9 followed by isolation and deep sequencing analysis of its co-purified bound RNAs. This method can not only be used to study interactions of Cas9 with its known interaction partners, crRNAs and tracrRNA in native systems, but also to reveal potential additional RNA substrates of Cas9. For example, in RIP-seq analysis of Cas9 from the foodborne pathogen Campylobacter jejuni (CjeCas9), we recently identified several endogenous RNAs bound to CjeCas9 RNP in a crRNA-dependent manner, leading to the discovery of PAM-independent RNA cleavage activity of CjeCas9 as well as non-canonical crRNAs. RIP-seq can be easily adapted to any other effector RNP of choice from other CRISPR-Cas systems, allowing for the identification of target RNAs. Deciphering novel RNA-protein interactions for CRISPR-Cas proteins within host bacterial genomes will lead to a better understanding of the molecular mechanisms and functions of these systems and enable us to use the in vivo identified interaction rules as design principles for nucleic acid-targeting applications, fitted to each nuclease of interest.
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Burger, Klaus. "Pharmacogenomic-Guided Drug Development." In Drug Discovery and Evaluation: Methods in Clinical Pharmacology. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-540-89891-7_39.

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Moura, Matthew, Linda Broadbelt, and Keith Tyo. "Computational Tools for Guided Discovery and Engineering of Metabolic Pathways." In Methods in Molecular Biology. Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-299-5_8.

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Burges, Christopher J. C. "Geometric Methods for Feature Extraction and Dimensional Reduction - A Guided Tour." In Data Mining and Knowledge Discovery Handbook. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-09823-4_4.

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Conference papers on the topic "Guided Discovery Method"

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Eliezer, A., and J. Haddad. "The Role of Advanced Electrochemical Research Methods for New Magnesium Alloys Products." In CORROSION 2005. NACE International, 2005. https://doi.org/10.5006/c2005-05473.

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Abstract The guide direction today is reduction of vehicle weight and saving of fuel consumption. Magnesium is the lightest of all the commonly used metals and is very attractive for applications in automotive industry. However, environmentally assisted fracture significantly decreases the fatigue and creep resistance, mechanical stability and durability of high-strength Mg alloys. For example, such magnesium applications as wheels, transmission housings, pedals, etc. require good fatigue resistance in corrosive atmosphere. In order to produce parts for the automotive industry it is necessary to develop alloys with formability and durability in active environments. Until recently, corrosion resistance and creep resistance have been considered to be the main issues for long-term durability, reliability and applicability of Mg-based structural materials. These problems traditionally have been separated as corrosion behavior in non-stressed states and creep in non-corrosive conditions. In recent years the importance of environmental effects in many types of fracture processes has been recognized and it seems worthwhile therefore to examine more closely the role of environment in creep rupture as combined stress-environmental effects. So, the investigation of environmental assisted creep is very important as a tool to discover a mechanism of processes going in the tip of a crack and as the phenomenon very influencing mechanical stability of alloys in real service conditions. However, mechanical and corrosion processes develop simultaneously in real environment conditions, and inevitably lead to the appearance of new synergistic effects which significantly reduce the lifetime of Mg-alloys.
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Obeyesekere, Nihal, and Thusitha Wickramarachchi. "Transition from Combinatorial Chemistry to Present Day Robotics in Product Development for Oil Field Chemicals." In MECC 2023. AMPP, 2023. https://doi.org/10.5006/mecc2023-20245.

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Abstract In this paper, the slow evolution of combinatorial chemistry from its dawn in 1980’s to today’s oil field product development is discussed. Combinatorial chemistry comprises chemical synthetic methods that make it possible to prepare a vast number of compounds in a single process. These compound libraries can be made as mixtures, sets of individual compounds or chemical structures generated by computer software. This phenomenon was first invented by Arpad Furka (Lorand University, Budapest) in 1982. He described the principle of it, the combinatorial synthesis and a deconvolution procedure. The methodology was first used in drug discovery using a wide range of linear or wide range of macrocyclic chemical molecules: peptides, non-peptide oligomers, peptidomimetics, small-molecules, and natural product-like organic molecules. However, handling vast amounts of data and extremely small chemical recovery were a very difficult endeavor. To avoid this problem and help to refine the size of the chemical libraries, various software programs were utilized. This was achieved by utilizing a tool known as Design of Experiment (DoE). In this paper, the high throughput product screening to identify corrosion inhibitors was performed by utilizing critical micelle concentration (CMC). CMC was used to differentiate performance of libraries of chemical blends. Combinatorial synthesis (or blends) and combinatorial screening were performed by utilizing robotics methodologies. The corrosion inhibitor formulations predicted by DoE were built out by using combinatorial chemical methods and the arrays of chemical formulations were screened by utilizing high throughput robotics, using CMC as the selection guide. To validate the concept, several known corrosion inhibitor formulas were selected to optimize their efficacy. Each formula contained several active ingredients and a solvent package. These raw materials were blended in random but in a control, manner using combinatorial methodologies. After formulation of a vast array of formulation by using Design Expert solvent package. These raw materials were blended in random but in a control, manner using combinatorial methodologies. After formulation of a vast array of formulation by using Design Expert (DE) software, the products were screened for by CMC using automated surface tension workstation. Several formulations with lower CMC than the reference products were selected. The selected corrosion inhibitor formulations were identified and blended in larger scales. The efficacy of these products was tested by classical laboratory testing methods such as rotating cylinder electrode (RCE) and rotating cage autoclave (RCA) to determine their performance as anti-corrosion agents. These tests were performed against the original reference corrosion inhibitor. The testing indicated that several corrosion inhibitor formulations outperform the original blend thus validating the proof of concept.
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Abbas, Nurhayati, Perry Zakaria, Dwi Hardianty Djoyosuroto, and Nurmala Ododay. "Designing a Problem-Based Mathematics Learning with the Integration of Guided Discovery Method." In First International Conference on Science, Technology, Engineering and Industrial Revolution (ICSTEIR 2020). Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210312.066.

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Jumantini, Entin, Novi Satriapradja, Pupu Rahmat, and Ghaida Amalia. "The Effect of Guided Discovery Learning Method and Guided Inquiry Learning in Improving Students Critical Thinking Ability with Students 'Self-Effication Variable Moderator." In Proceedings of the 2nd Universitas Kuningan International Conference on System, Engineering, and Technology, UNISET 2021, 2 December 2021, Kuningan, West Java, Indonesia. EAI, 2022. http://dx.doi.org/10.4108/eai.2-12-2021.2320305.

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Nagao, Masahiro, Wenyue Sun, and Sathish Sankaran. "Data-Driven Discovery of Physics for Reservoir Surveillance." In SPE Western Regional Meeting. SPE, 2022. http://dx.doi.org/10.2118/209300-ms.

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Abstract Understanding well production performance in hydrocarbon reservoirs in a timely manner is essential for closed loop reservoir management, improving operational efficiency, and maximizing value. It is desirable to have a robust and scalable method for estimating well productivity index and reservoir pressure, which can be applied in a practical and automated manner. Traditional surveillance methods are interpretive and do not scale for manual surveillance of either large fields or those with large data volumes. In this work, we propose a machine learning approach to discover physics that can be built using routine field measurements (downhole pressure and rates) and used for estimating well productivity, real-time production rates, pressure depletion and short-term forecasts. The relationship between rates and pressure evolution is guided by nonlinear diffusivity equation. We seek methods for projecting the nonlinear state problem onto a linear (or weakly linear) space based on several methods – namely, time delay embedding, physics-inspired features, and dynamic mode decomposition (DMD). This augments the information contained in the system state with measurements of the state history. We also developed a background signal decomposition method to extrapolate routine buildup pressure data to estimate average reservoir pressure based on two different methods – optDMD (optimized DMD) and SINDy (sparse identification of nonlinear dynamics). The background signal decomposition method was validated on several heterogeneous reservoir cases to estimate average reservoir pressure from buildup data, where our results outperformed traditional methods. In cases where multiphase flow meter rates were available, the proposed hybrid reservoir model was used to predict pressure with a virtual shut-in simulation. By offsetting the need for shutting in the well and associated production deferment, the virtual shut-in predictions were used to estimate reservoir properties. The results were validated on both pressures and pressure derivatives, typically used for pressure transient analysis. Next, we observed that the model can be used to provide accurate multiphase production rate forecasting (virtual metering) by reversing the model inputs and outputs. Based on the hybrid model, a workflow for tracking reservoir properties was developed to capture the decline of average reservoir pressure and productivity index, which was applied to both synthetic and field cases with reasonable accuracy. The proposed hybrid reservoir modeling approach automates routine surveillance at field scale with high computational efficiency. By learning from natural operational variations continuously, it decreases planned downtime and associated production loss. It also enables detecting well performance issues much earlier to plan timely remedial actions. It provides a practical way of combining data-driven methods with our understanding of physics, while keeping the analysis interpretable and enabling closed loop reservoir management.
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Susanti and I. Made Arnawa. "Analysis Validation of Math Learning Devices Based on Guided Discovery Method to Improve Problem-Solving Ability of Grade VII Students of Junior High School." In Proceedings of the 2nd International Conference on Mathematics and Mathematics Education 2018 (ICM2E 2018). Atlantis Press, 2018. http://dx.doi.org/10.2991/icm2e-18.2018.74.

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Egan, Paul, Jonathan Cagan, Christian Schunn, Philip LeDuc, Jeffrey Moore, and Felix Chiu. "The D3 Science-to-Design Methodology: Automated and Cognitive-Based Processes for Discovering, Describing, and Designing Complex Nanomechanical Biosystems." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47466.

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New opportunities in design often surface with scientific advances, however, the rapid pace of scientific findings in biological domains, and their complexity, may impede effective technological design. This paper addresses such challenges through weaving phases of scientific discovery, analytical description, and technological design in an integrative “d3 Methodology.” The method is implemented using human-guided automated processes developed with cognitive-based considerations. A case study of designing myosin bio-libraries is specifically investigated, and optimization results suggest that bio-libraries of designed synthetic isoforms have advantages over natural isoforms. The findings are motivating for future scientific endeavors to investigate the benefits of designed myosins, thus demonstrating reciprocity among design and science. The successes in implementing each d3 phase suggests the methodology is a feasible approach for nanoscale biosystems design, and is well-suited for driving the scientific inquiries of today towards the novel technologies of tomorrow.
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Aguilar-Jiménez, Alba Soraya, Maria Teresa Mantilla-Niño, and Maria Fernanda Silva-Rojas. "Semilleros de investigación como estrategia de formación investigativa. Caso de estudio: Colegio Reina de la Paz." In INNODOCT 2021. Editorial Universitat Politècnica de València, 2021. http://dx.doi.org/10.4995/inn2021.2021.13439.

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The research hotbeds have been treated as a pedagogical strategy by means of which the traditional teaching-learning model can be transformed into a model that allows students to build their own knowledge from the discovery that the formative research processes allow Accompanied by the teacher as a facilitator. This premise is applicable to training in elementary and middle schools, so this work proposes a strategy for the creation and management of research seedbeds through the case study of the Reina de la Paz School in Floridablanca Colombia. To carry out this project, we worked on a pilot level with elementary and high school students from the school, who developed, based on the scientific method, specific projects in the environmental area guided by teachers from the areas of Technology and Natural Sciences. Qualitative information gathering techniques were used both with students and with teachers and school administrators and it was possible to propose concrete strategies that are articulated with its pedagogical model and allow the consolidation of research seedbeds that contribute to the integral development of the student.
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Li, Hang, Chen Ma, Wei Xu, and Xue Liu. "Feature Statistics Guided Efficient Filter Pruning." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/363.

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Building compact convolutional neural networks (CNNs) with reliable performance is a critical but challenging task, especially when deploying them in real-world applications. As a common approach to reduce the size of CNNs, pruning methods delete part of the CNN filters according to some metrics such as l1-norm. However, previous methods hardly leverage the information variance in a single feature map and the similarity characteristics among feature maps. In this paper, we propose a novel filter pruning method, which incorporates two kinds of feature map selections: diversity-aware selection (DFS) and similarity-aware selection (SFS). DFS aims to discover features with low information diversity while SFS removes features that have high similarities with others. We conduct extensive empirical experiments with various CNN architectures on publicly available datasets. The experimental results demonstrate that our model obtains up to 91.6% parameter decrease and 83.7% FLOPs reduction with almost no accuracy loss.
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"Improving Mathematical Reasoning Ability Through Guided Discovery Methods Assisted By Autograph Software." In International Conference of Science Management Art Research Technology. RSF Press & RESEARCH SYNERGY FOUNDATION, 2020. http://dx.doi.org/10.31098/ic-smart.v1i1.29.

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Reports on the topic "Guided Discovery Method"

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Teo, Chua Tee, and Khiok Seng Quek. Pedagogical change for training teachers: Adapted flipped classroom approach. National Institute of Education, Nanyang Technological University, Singapore, 2020. https://doi.org/10.32658/10497/23256.

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This pilot quasi-experimental project examines the effectiveness of an adapted flipped classroom approach for the teaching of 2 teacher education courses over a semester of 13 weeks. Both the experimental and control groups would be matched at programme level. The control group would be two comparable classes not using the flipped classroom approach but using the didactic or traditional approach of teaching. The flipped classroom approach is also known as the Thayer Method or the inverted classroom or reverse teaching. It involves interactive student-centred engagement pedagogy with individualised online learning before the course. In the adapted flipped classroom, additional guiding questions and power-point slides would be deployed. Students learn content online through e-worksheets and guided discovery before face-to-face classroom time. Students worked through activities, watched videos, navigate websites, read up on articles and answered questions posed to them in the lesson worksheets. In class, students would share their prior learning with each other and they would be encouraged to ask questions of each other and with the tutor. Concepts, theories, controversies and ambiguities will be discussed with the aid of power-point slides. The students in the control group would receive lectures through power-point slides during class time, and learning activities would be conducted. Students in the control group would have no pre-lesson learning activities. The effectiveness of the flipped classroom lessons will be assessed through newly developed surveys, focus group discussions and semi-structured interviews of participants in the experimental and control groups. Results will be analysed using paired sample t tests, ANCOVA and thematic analyses. Findings will enable the lecturers to review and re-design the flipped classroom lessons and thus make evidence based pedagogical changes for the following semester.
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Paynter, Robin A., Gaelen P. Adam, Allison Hedden-Gross, Claire Twose, and Christiane Voisin. Systematic Review Search Strategy Development Tools: A Practical Guide for Expert Searchers. Agency for Healthcare Research and Quality (AHRQ), 2025. https://doi.org/10.23970/ahrqepcwhitepapersearch.

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Background. The explosive growth in the number of original biomedical research publications and subsequent systematic reviews has driven the increase in the number of software tools created to automate many of the processes involved in the conduct of systematic reviews, particularly search strategy design and execution. However, this growth in software tools has not been accompanied by a systematic approach for providing expert review of these tools and their utility in supporting search strategy development. Objectives. Our goal was to provide practical guidance and information about automation tools for literature searching by conducting a descriptive comparative analysis of the free search strategy tools listed on the Systematic Review Toolbox1,2 (SR Toolbox) website. We plan to make our analysis freely available through web-based distribution. Methods. Our search expert panel is composed of five biomedical librarians currently active in the Agency for Healthcare Research and Quality (AHRQ) Effective Health Care Program Evidence-based Practice Centers (EPC). After screening, members of our expert panel dual reviewed included tools based on these criteria with any assessment disagreements resolved via consensus. Further, we categorized each tool by search-process step; tools could be applicable to more than one step. Results. Search strategy tools were identified from the SR Toolbox website. Of the 102 total tools listed on their search software webpage (initial search September 2021 N=78; update search February 2023 N=24 new tools), we determined 21 to be search strategy development tools and eligible for review. Based on our expert review, we found the preponderance of the 21 chosen tools are designed for the initial strategy development steps (i.e., scoping, keyword/phrase, and subject term discovery), though there are tools in most steps, except for strategy logic evaluation. From our review score sheets, we created a table of tools, arranged them by search process step, and rated their performance across our key criteria. Conclusion. We created what we believe is a quick and intuitive guide for expert searchers that organizes the tools by search strategy development phase, evaluates key features, and provides advice on how to use the tool effectively.
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