Relevant bibliographies by topics / Prediction of scholastic success Australia

Academic literature on the topic 'Prediction of scholastic success Australia'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Prediction of scholastic success Australia"

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Shaughnessy, Michael F., Kris Spray, Jack Moore, and Carole Siegel. "Prediction of Success in College Calculus: Personality, Scholastic Aptitude Test, and Screening Scores." Psychological Reports 77, no. 3_suppl (December 1995): 1360–62. http://dx.doi.org/10.2466/pr0.1995.77.3f.1360.

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This study explored the relationship between Scholastic Aptitude Test scores, personality scores as measured by the 16 PF, Fifth Edition, and screening test scores of 87 students to predict success in college calculus. The results are discussed and implications reviewed.
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Meeker, Frank, Daniel Fox, and Bernard E. Whitley. "Predictors of Academic Success in the Undergraduate Psychology Major." Teaching of Psychology 21, no. 4 (December 1994): 238–41. http://dx.doi.org/10.1207/s15328023top2104_9.

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Transcript data were compiled on 288 recent college graduates majoring in psychology to determine the variables that correlated best with grade point average in psychology (PSYGPA). The graduates were a highly diverse group in terms of high school academic backgrounds, grades in high school, and Scholastic Aptitude Test scores. Factor analysis of 26 predictor variables revealed three clusters of variables: high school grades/verbal, general studies, and mathematics. Multiple regression analyses revealed PSYGPA to be predicted by the grade in Introductory Psychology, general studies coursework, and mathematics factors, which together accounted for 67% of the variance. The prediction equation differed somewhat from that obtained for students at another university; consequently, prediction equations used to screen majors should be based only on students at a particular institution.
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Choi, Seongjin, Hwasoo Yeo, and Jiwon Kim. "Network-Wide Vehicle Trajectory Prediction in Urban Traffic Networks using Deep Learning." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 45 (September 7, 2018): 173–84. http://dx.doi.org/10.1177/0361198118794735.

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This paper proposes a deep learning approach to learning and predicting network-wide vehicle movement patterns in urban networks. Inspired by recent success in predicting sequence data using recurrent neural networks (RNN), specifically in language modeling that predicts the next words in a sentence given previous words, this research aims to apply RNN to predict the next locations in a vehicle’s trajectory, given previous locations, by viewing a vehicle trajectory as a sentence and a set of locations in a network as vocabulary in human language. To extract a finite set of “locations,” this study partitions the network into “cells,” which represent subregions, and expresses each vehicle trajectory as a sequence of cells. Using large amounts of Bluetooth vehicle trajectory data collected in Brisbane, Australia, this study trains an RNN model to predict cell sequences. It tests the model’s performance by computing the probability of correctly predicting the next [Formula: see text] consecutive cells. Compared with a base-case model that relies on a simple transition matrix, the proposed RNN model shows substantially better prediction results. Network-level aggregate measures such as total cell visit count and intercell flow are also tested, and the RNN model is observed to be capable of replicating real-world traffic patterns.
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Davis, GP. "Genetic parameters for tropical beef cattle in northern Australia: a review." Australian Journal of Agricultural Research 44, no. 2 (1993): 179. http://dx.doi.org/10.1071/ar9930179.

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This paper reviews published estimates of genetic parameters for traits of growth, reproduction and resistance to environmental stresses for Bos indicus and Zebu derived breeds in northern Australia. Most published estimates of heritabilities for growth and reproduction traits were higher for tropically adapted breeds in northern Australia than for Bos taurus breeds in temperate Australia. Weighted mean estimates of heritabilities for the direct component of weaning weight were 39% for the Brahman breed and 30% for Zebu-derived breeds in northern Australia compared with 13% for Bos taurus breeds in temperate areas of Australia. Mean estimates for the maternal component of weaning weight were 5, 24 and 13% respectively. Mean heritabilities for yearling and 550 day weights for Zebu derived breeds in northern Australia (24 and 25%) were similar to those for Bos taurus breeds in temperate areas, though estimates for Brahmans were higher (39 and 39%). Published estimates of heritabilities of later weights (700 and 900 days), which are most relevant to northern Australian production systems, were rare but averaged between 32 and 45% for Zebu-derived breeds and Brahmans. Weighted mean heritability for female calving success was 14% and for realised bull fertility was 5%. Published estimates of heritabilities of scrota1 circumference averaged 31%, and testosterone response to GNRH stimulation was 52%. Heritabilities of resistance to various environmental stresses were all moderate with weighted means between 20 and 34%. Genetic correlations between growth, reproduction and resistance to environmental stresses are also reviewed. There appears to be predictable variation in estimates of parameters between breeds in different environments which is related to level of resistance to environmental stresses, and this is likely to affect the prediction of breeding values for cattle in northern Australia.
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Borazjani, Sara, David Kulikowski, Khalid Amrouch, and Pavel Bedrikovetsky. "Composition Changes of Hydrocarbons during Secondary Petroleum Migration (Case Study in Cooper Basin, Australia)." Geosciences 9, no. 2 (February 3, 2019): 78. http://dx.doi.org/10.3390/geosciences9020078.

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The reliable mathematical modelling of secondary petroleum migration that incorporates structural geology and mature source rocks in the basin model, allows for prediction of the reservoir location, yielding the significant enhancement of the probability of exploration success. We investigate secondary petroleum migration with a significant composition difference between the source and oil pools. In our case study, the secondary migration period is significantly shorter than the time of the hydrocarbon pulse generation. Therefore, neither adsorption nor dispersion of components can explain the concentration difference between the source rock and the reservoir. For the first time, the present paper proposes deep bed filtration of hydrocarbons with component kinetics retention by the rock as a physics mechanism explaining compositional grading. Introduction of the component capture rate into mass balance transport equation facilitates matching the concentration difference for heavy hydrocarbons, and the tuned filtration coefficients vary in their common range. The obtained values of filtration coefficients monotonically increase with molecular weight and consequently affects the size of the oleic component, as predicted by the analytical model of deep bed filtration. The modelling shows a negligible effect of component dispersion on the compositional grading.
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SHAFAPOURTEHRANY, Mahyat. "Exploring the Risky Areas Due to Landslide Using Decision Tree Analysis: Case Study Tasmania, Australia." Eurasia Proceedings of Science Technology Engineering and Mathematics 18 (October 20, 2022): 86–101. http://dx.doi.org/10.55549/epstem.1192352.

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Landslide is one of the natural hazards that considers a serious threat to both humans’ lives and properties. Tasmania, Australia is one of those regions where landslides caused considerable damage to people and the State. Landslide damages can be reduced, even stopped, if proper land condition and planning assessment has been done. The main influencing parameters in landslide occurrences are topography, precipitation, and geological formation. Those parameters along with other influencing parameters have been used in landslide susceptibility mapping. In order to have a reliable analysis, a robust method of Decision Tree (DT) has been used to perform susceptibility mapping. According to the hierarchy structure of DT, geology and slope have been selected as the most influential parameters in landslide susceptibility. In order to evaluate the reliability of the outcomes, Area Under the Curve (AUC) has been utilized. Success and prediction rates were 87.64% and 84% respectively. Subsequently, risky features such as buildings, schools, hotels, etc. have been used in overlay analysis in a GIS environment with “very high” and “high” susceptibility classes. The outcome of this research can assist planning parties to secure vulnerable regions and consider those areas in their future decision-making strategies.
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Pazhwak, Hashimi M. "The Impact of Homeschooling on Students’ Social Skills and Psychological wellbeing: Perspective from Afghanistan." Journal of Education 5, no. 4 (October 10, 2022): 16–26. http://dx.doi.org/10.53819/81018102t4083.

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There is strong evidence that homeschooling has made noteworthy gains in absolute numbers as well as percent of the school-age population in countries as diverse as Australia, Brazil, Canada, England, Japan, Mexico, South Africa, South Korea, Scotland, and also Russia. Home education's rejuvenation after regarding a century of calm has surprised lots of teachers, sociologists, political scientists, chroniclers, and also theologians, and also has actually captured the creative imagination and also interaction of numerous countless households. One of one of the most typical and extensively approved methods to evaluate the knowing of pupils as well as the performance of their instructional environments is through scholastic achievement as measured by standardized examinations. With literary works evaluation, via scholarly write-ups, meetings, as well as a study, research reveals that homeschooling will certainly continue to get on the increase. Therefore, homeschooled youngsters often tend to rack up higher or similar contrasted to normal children attending public institutions. Kids become much more in charge of themselves, and also have control of their education. Homeschooling is an alternative to education and learning for youngsters that do not readjust well. While homeschooling allows trainees to concentrate just on what is necessary to them, it makes finding out more delightful, given that they are learning at their very own rate, as well as at the same time impacts their scholastic success in many ways. There were an approximated 4.5 to 5.0 million homeschool pupils in grades K-12 in the AFGHANISTAN throughout March of 2021 (approximately 8% to 9% of school-age children). There were about 2.5 million homeschool pupils in spring 2019 (or 3% to 4% of school-age children). The homeschool population had actually been growing at an approximated 2% to 8% per year over the past several years, yet it grew dramatically from 2019-2020 to 2020-2021. There is boosting proof on the beauty sleep needed in teen years, yet the conventional institution system often calls for pupils to keep up late finishing research and also stand up early to rush to their morning classes. Homeschool supplies some wonderful advantages when it comes to organizing: much less entering the early morning sets youngsters up for much less stress overall in their day, longer sleep ins are very important for psychological as well as physical wellness in addition to better focus and work ethic throughout the day as well as homeschooled kids can take breaks throughout the day as needed and also are much less likely to fatigue and also kind unfavorable associations with school as well as discovering. Homeschoolers are coming to be popular for college. Several institution of higher learnings have started to customize their admission practices to not only allow for, but to motivate, homeschoolers to request admission. Keywords: Homeschooling, Learners’, Academic, Achievement, Afghanistan.
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Korn, B. E., R. P. Teakle, D. M. Maughan, and P. B. Siffleet. "THE GERYON, ORTHRUS, MAENAD AND URANIA GAS FIELDS, CARNARVON BASIN, WESTERN AUSTRALIA." APPEA Journal 43, no. 1 (2003): 285. http://dx.doi.org/10.1071/aj02015.

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The Geryon, Orthrus, Maenad and Urania Gas Fields are located in permit WA-267-P in approximately 1,200 m of water, and between 35 km northwest and 70 km north of the Gorgon Gas Field in the offshore Carnarvon Basin of Western Australia. Five wells were drilled in these fields between August 1999 and February 2001 as part of a six-well, three-year obligatory drilling program. The primary objectives were late Triassic sandstones of the upper Mungaroo Formation. The Geryon and Urania Fields are three-way footwall structures, while the Orthrus and Maenad Fields comprise four-way horst structures where progressively older units subcrop against the Callovian Unconformity. All objective reservoirs were amplitude associated and had strong AVO signatures, which was instrumental in the high exploration success rate and excellent exploration prediction of OGIP from seismic data.This paper will briefly discuss the description of late Triassic and early Jurassic reservoirs and the transition of the AA sand of the Mungaroo Formation from fluvial to marginal marine facies in the Greater Gorgon Area, the recent drilling results of the Triassic Prospects in WA-267-P, and the geophysical attributes of the AA sand Mungaroo Formation reservoirs.The WA-267-P Triassic Gas Fields are estimated to contain approximately 210 billion m3 (7.4 TCF) recoverable sales gas. The close proximity of these Triassic gas fields to each other, the clean gas composition and size of resource base suggests these fields are excellent candidates for a future gas development in Western Australia.
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Jenkins, Meaghan E., Michael Bedward, Owen Price, and Ross A. Bradstock. "Modelling Bushfire Fuel Hazard Using Biophysical Parameters." Forests 11, no. 9 (August 24, 2020): 925. http://dx.doi.org/10.3390/f11090925.

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Environmental gradients or biophysical parameters such as climate, topography and geology drive landscape-scale vegetation structure, species distribution and productivity. These gradients have the potential to provide detailed, fine-scale spatial prediction of the accumulation of bushfire fuels and hence fire hazard by elucidating patterns in field information in a consistent and repeatable way. Rapid visual assessment of bushfire fuel hazard via ratings provides fire and land management agencies with a measure of the probability of first attack success and general suppression difficulty of bushfires at a location. This study used generalised additive modelling to examine how measures of fuel hazard, recorded for locations in New South Wales, Australia, varied in response to environmental gradients and whether these gradients could be used to predict fuel hazard at a landscape scale. We found that time since last fire, temperature and precipitation were strong predictors of fuel hazard. Our model predictions for fuel hazard outperformed current operational methods; however, both methods tended to overestimate lower fuel hazard and underestimate higher fuel hazard. Biophysical modelling of fuel hazard provides significant advancement for predicting fuel hazard. These models have the capability to be improved and developed as additional fuel hazard data, fire history mapping and remote sensing of environmental variables advance both spatially and temporally.
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binti Abd Razak, Janatul Aziera, Shuib bin Rambat, Faizah binti Che Ros, Zhongchao Shi, and Saiful Amri bin Mazlan. "Seismic Vulnerability Assessment in Ranau, Sabah, Using Two Different Models." ISPRS International Journal of Geo-Information 10, no. 5 (April 23, 2021): 271. http://dx.doi.org/10.3390/ijgi10050271.

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Sabah is prone to seismic activities due to its location, being geographically located near the boundaries of three major active tectonic plates; the Eurasian, India-Australia, and Philippine-Pacific plates. The 6.0 Mw earthquake that occurred in Ranau, Sabah, on 15 June 2015 which caused 18 casualties, all of them climbers of Mount Kinabalu, raised many issues, primarily the requirements for seismic vulnerability assessment for this region. This study employed frequency ratio (FR)–index of entropy (IoE) and a combination of (FR-IoE) with an analytical hierarchy process (AHP) to map seismic vulnerability for Ranau, Sabah. The results showed that the success rate and prediction rate for the areas under the relative operating characteristic (ROC) curves were 0.853; 0.856 for the FR-IoE model and 0.863; 0.906 for (FR-IoE) AHP, respectively, with the highest performance achieved using the (FR-IoE) AHP model. The vulnerability maps produced were classified into five classes; very low, low, moderate, high, and very high seismic vulnerability. Seismic activities density ratio analysis performed on the final seismic vulnerability maps showed that high seismic activity density ratios were observed for high vulnerability zones with the values of 9.119 and 8.687 for FR-IoE and (FR-IoE) AHP models, respectively.
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Dissertations / Theses on the topic "Prediction of scholastic success Australia"

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Oliver, Clive P. "Some determinants of success and failure in first-year university business units at private colleges." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 1999. https://ro.ecu.edu.au/theses/1202.

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This study investigates some of the determinates of academic success and failure (and dropout) from first year university level Business units at two private business colleges in Perth, Western Australia. Private business colleges are convenient vehicles for international and Western Australian students who do not possess adequate academic assessments for direct entry into university, and for students who might benefit from an enhanced pastoral support system, in the transition from secondary education to tertiary education. The study is important to private providers and to universities who are trying to help students succeed at university. The study utilises a model of two dependent variables (achievement at first attempt and achievement at second attempt); five independent variables (motivation to achieve, outside work commitments, performance to expectations, family problems, and attendance); and three situation variables (age, gender and whether English is the first language of the student). The variables in the model were identified from various studies in the literature, as likely to be most strongly related to academic success or failure. The model suggests a number of bivariate relationships between the dependent variables andthe independent variables and between the dependent variables and the situation variables. The model also suggests a number of joint relationships between the dependent, independent and situation variables. The dependent variables were measured for eight first year units of study which are generic to Bachelor Degree programmes at most universities for Business or Commerce; Accounting, Economics, Finance, Information Systems, Legal Framework, Management, Marketing and Statistics. The sample consists of 195 students from private provider A and 92 students from private provider B in Perth, Western Australia (a total of 287 students). Data were collected by means of a questionnaire which was distributed to students in both private colleges in mid-semester 1996, and which students completed on a voluntary basis. Each of the independent variables were measured from student self-report data and the private colleges provided the individual student results in each of the eight Business subjects to use as measures of the dependent variables. Analysis took the form of cross-tabulations, zero-order correlations and multiple regression to test the relationships between the dependent and independent variables, as suggested by the model. The computer package SPSS (Statistical Package for the Social Sciences) was used for the analysis. The conclusions relating to the zero-order correlations are presented in two parts: those relating Achievement at the first attempt and Achievement at the second attempt (as dependent variables) with the five independent variables and those relating the dependent variables with the three situation variables. (i) The five independent variables have small or no correlations with the two dependent variables. (ii) The three situation variables have small or no correlations with the two dependent variables. In each case, the amount of explained variance in the dependent variable was 7% or less and hence the relationships are of no practical significance for any of the eight Business subjects, for students or private providers. The conclusions relating to the multiple regression analysis are presented in three parts: those relating the dependent variables with the independent variables, those relating the dependent variables with the situation variables, and those relating the dependent variables with the independent and situation variables together. (iii) The five independent variables together account for less than 9% variance in the dependent variables. (iv) The three situation variables together account for less than 10% of variance in the dependent variables. (v) The five independent variables and the three situation variables together account for less than 15% of variance in the dependent variables. These relationships are so small that they are of no practical significance for any of the eight Business subjects, for students or private providers. While there do not appear to be any direct implications for private providers or students, flowing from this study, there are direct implications for further research. In particular, a better model needs to be developed that uses variables that can explain more of the variance in achievement at the first and second attempts. This may mean that different and better measures of the independent variables need to be made and that new independent variables need to be uncovered, perhaps, by interviewing students at private providers.
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Hutto, Rodney Dean. "Teacher evaluation and development and student performance." Thesis, Full text (PDF) from UMI/Dissertation Abstracts International, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3008259.

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陳衍輝 and Hin-fai Gregory Chan. "Selection for admission to the undergraduate programmes of the University of Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1990. http://hub.hku.hk/bib/B29910857.

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Hoveland, Carole Munson. "Relationships between learning and study strategies and academic achievement in associate degree nursing students." Laramie, Wyo. : University of Wyoming, 2006. http://proquest.umi.com/pqdweb?did=1136092611&sid=3&Fmt=2&clientId=18949&RQT=309&VName=PQD.

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DeFelice, Carol Esselborn. "The relationship between self-efficacy and academic achievement in associate degree nursing programs /." Access Digital Full Text version, 1989. http://pocketknowledge.tc.columbia.edu/home.php/bybib/10901449.

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Thesis (Ed.D.)--Teachers College, Columbia University, 1989.
Typescript; issued also on microfilm. Sponsor: Elizabeth H. Tucker. Dissertation Committee: Elizabeth M. Maloney. Bibliography: leaves 75-78.
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Norman, Lynn Purcell Witte James E. "Prediction of nursing student performance in first year coursework." Auburn, Ala., 2006. http://repo.lib.auburn.edu/Send%208-7-07/NORMAN_LYNN_17.pdf.

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Nicholson, Kathleen J. "Use of Cattell-Horn-Carroll specific cognitive abilities to enhance prediction of reading on the third grade Pennsylvania System of State Assessment." Open access to IUP's electronic theses and dissertations, 2009. http://hdl.handle.net/2069/152.

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Stuart, Gale Sherwood. "Making connections the role of the social networks of first-year students enrolled in learning communities in predicting success in college /." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1666398331&sid=5&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Thomas, Joan. "The effects of academic monitoring for students who have been academically dismissed and readmitted to the University of Wisconsin-Stout." Online version, 2000. http://www.uwstout.edu/lib/thesis/2000/2000thomasj.pdf.

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Frisco, Michelle Lynn. "Adolescents' future opportunity : family, sexual decision-making, and academic achievement /." Access restricted to users with UT Austin EID Full text (PDF) from UMI/Dissertation Abstracts International, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3031598.

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Books on the topic "Prediction of scholastic success Australia"

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Acevedo, Gladys Lopez. Professional development and incentives for teacher performance in schools in Mexico. Washington, D.C: World Bank, 2004.

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Die Validität von Schulabschlussnoten für die Prognose von Ausbildungs- und Studienerfolg: Eine Metaanalyse nach dem Prinzip der Validitätsgeneralisierung. Frankfurt am Main: P. Lang, 1989.

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Boeyens, J. C. A. Learning potential. Pretoria: Human Sciences Research Council, 1989.

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Wenglinsky, Harold. When money matters: How educational expenditures improve student performance and how they don't. Princeton, N.J: Policy Information Center, Educational Testing Service, 1997.

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David, Owen. None of the above: Behind the myth of scholastic aptitude. Boston: Houghton Mifflin, 1985.

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Noble, Julie. Predicting college grades from ACT assessment scores and high school course work and grade information. Iowa City: American College Testing Program, 1991.

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Noble, Julie. Effects of differential prediction in college admissions for traditional- and nontraditional-aged students. Iowa City, Iowa: ACT, Inc., 2000.

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Kaestner, Robert. Are brothers really better?: Sibling sex composition and educational achievement revisited. Cambridge, MA: National Bureau of Economic Research, 1996.

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Breland, Hunter M. The performance assessment study in writing: Analysis of the SAT II, writing subject test. New York: College Entrance Examination Board, 1999.

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Ziomek, Robert L. Predicting the college grade point averages of special-tested students from their ACT assessment scores and high school grades. Iowa City, Iowa: American College Testing Program, 1996.

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Conference papers on the topic "Prediction of scholastic success Australia"

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Johnson, Raymond Leslie, Honja Miharisoa Ramanandraibe, Nathan Di Vaira, Chris Leonardi, Zhenjiang You, Vanessa Santiago, Ayrton Ribeiro, et al. "Implications of Recent Research into the Application of Graded Particles or Micro-Proppants for Coal Seam Gas and Shale Hydraulic Fracturing." In SPE Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/210628-ms.

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Abstract Low permeability, naturally fractured reservoirs such as coal seam gas (CSG, coalbed methane or CBM) and shale gas reservoirs generally require well stimulation to achieve economic production rates. Coupling hydraulic fracturing and micro-proppant or graded particle injections (GPI) can be a means to maximise hydrocarbon recovery from these tight, naturally fractured reservoirs, by maintaining or improving cleat or natural fracture conductivity. This paper presents a summary of the National Energy Resources Australia (NERA) project "Converting tight contingent CSG resources: Application of graded particle injection in CSG stimulation" - which assessed the application of micro-proppants, providing guidance on key considerations for GPI application to CSG reservoirs. Over the last decade, laboratory research and modelling have shown the benefits of the application of GPI to keep pre-existing natural fractures and induced fractures open during production of coal reservoirs with pressure dependent permeability (PDP). Laboratory studies, within this study, provide further insight on potential mechanisms and key factors, including proppant size and optimum concentration, which contribute to the success of a micro-proppant placement. Accompanying numerical modelling studies will be presented that describe the likely fluidized behaviour of micro-proppants (e.g., straining models, electrostatic effects, and ‘screen out’ prediction). This paper outlines the necessary reservoir characterization, treatment considerations, and key numerical modelling inputs necessary for the design, execution, and evaluation of GPI treatments, whether performed standalone or in conjunction with hydraulic fracturing treatments. It also provides insight on the practical application of GPI efficiently into fracturing operations, minimizing natural and hydraulic fracturing damage effects, thereby maximizing potential production enhancement for coals, shales and other tight, naturally fractured reservoirs exhibiting pressure-dependent permeability effects.
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