Academic literature on the topic 'Student’s performance'
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Journal articles on the topic "Student’s performance"
Krishna, Tummala Sri Ranga Sai. "Student’s Performance Prediction." International Journal for Research in Applied Science and Engineering Technology 9, no. 5 (May 31, 2021): 524–28. http://dx.doi.org/10.22214/ijraset.2021.34222.
Full textSaqib, Muhammad, and Kaleem Ur Rehman. "Impact of Stress on Students Academic Performance at Secondary School Level at District Vehari." International Journal of Learning and Development 8, no. 1 (February 13, 2018): 84. http://dx.doi.org/10.5296/ijld.v8i1.12063.
Full textMohd. Jamil, Jastini, Nurul Farahin Mohd Pauzi, and Izwan Nizal Mohd Shahara Nee. "An Analysis on Student Academic Performance by Using Decision Tree Models." Journal of Social Sciences Research, SPI6 (December 25, 2018): 615–20. http://dx.doi.org/10.32861/jssr.spi6.615.620.
Full textKalaivani, S., B. Priyadharshini, and B. Selva Nalini. "Analyzing Student’s Academic Performance Based on Data Mining Approach." International Journal of Innovative Research in Computer Science & Technology 5, no. 1 (January 31, 2017): 194–97. http://dx.doi.org/10.21276/ijircst.2017.5.1.4.
Full textOliveira, Felipe Resende, Tatiane Almeida de Menezes, Guilherme Irffi, and Guilherme Resende Oliveira. "Bullying effect on student’s performance." EconomiA 19, no. 1 (January 2018): 57–73. http://dx.doi.org/10.1016/j.econ.2017.10.001.
Full textKeržič, Damijana, Aleksander Aristovnik, Nina Tomaževič, and Lan Umek. "Assessing the impact of students’ activities in e-courses on learning outcomes: a data mining approach." Interactive Technology and Smart Education 16, no. 2 (June 17, 2019): 117–29. http://dx.doi.org/10.1108/itse-09-2018-0069.
Full textAhmad, Mushtaq, and Md Fashiur Rahman. "Extracurricular Activities and Student’s Academic Performance." Journal of Armed Forces Medical College, Bangladesh 11, no. 2 (January 16, 2019): 1–2. http://dx.doi.org/10.3329/jafmc.v11i2.39814.
Full textA., Vrushali, Pooja D., and Monali V. "Predicting Student’s Performance using Machine Learning." Communications on Applied Electronics 7, no. 11 (December 22, 2017): 11–15. http://dx.doi.org/10.5120/cae2017652730.
Full textPrasad, K. Mohana, Naidu Reddy Roop Sumanth, Rimmalapudi Praveenkumar, S. L. Jany Shabu, and J. Refonaa. "Student Performance Analysis Using Machine Learning Techniques." Journal of Computational and Theoretical Nanoscience 17, no. 8 (August 1, 2020): 3366–69. http://dx.doi.org/10.1166/jctn.2020.9186.
Full textAzimova, M. "Self-confidence in Oral Performance." Bulletin of Science and Practice 6, no. 4 (April 15, 2020): 444–52. http://dx.doi.org/10.33619/2414-2948/53/52.
Full textDissertations / Theses on the topic "Student’s performance"
Sundkvist, Hannah. "Students Housing in Urban Areas of Tanzania : A comparison study of student’s housing in Dar es Salaam and Iringa and its affect’s on student’s performance in higher education." Thesis, Uppsala University, Department of Social and Economic Geography, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-126954.
Full textSulieman, Nidal, and Abeer Wannus. "Effects of Teachers’ Knowledge of formative assessment on teachers’ practices & students’ metacognition : A literature review." Thesis, Malmö universitet, Fakulteten för lärande och samhälle (LS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-43030.
Full textHasselqvist, Haglund Anna. "Public secondary school mergers as a desegregation method in Swedish municipalities : Investigating their impact on student’s academic performance and choice of school." Thesis, Uppsala universitet, Nationalekonomiska institutionen, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-355283.
Full textBellman, Markus, and Gustaf Blidholm. "Student performance drivers : An analysis of the declining performance of Swedish middle school students." Thesis, KTH, Optimeringslära och systemteori, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189028.
Full textPISA-rapporterna publicerade mellan 2000 och 2013 påvisar en tydlig nedåtgående trend i matematikresultat f ̈or svenska högstadieelever. Nya OECD-rapporter tyder på att trenden alltjämt kvarstår. Denna uppsats ämnar undersöka vilka anledningar som ligger bakom den negativa utvecklingen. Kan nedgången härledas ur skolresultat i specifika kommuner med sämre resultat än andra? Den nuvarande situationen i den svenska skolan analyseras ur ett nationellt perspektiv, där kommuner jämförs med varandra. Målet är att undersöka vilka huvudfaktorer som leder till bra skolresultat i en kommun. Vidare är ett mål att identifiera hur det svenska skolsystemet kan förbättras på både kommunal och nationell nivå med hjälp av politiska finansieringsbeslut, samt att analysera vilka faktorer hos samhället i stort som påverkar skolresultaten. Slutligen analyseras utbildningens påverkan på aspekter inom nationalekonomi ur ett makroperspektiv. Slutsatsen dras att flera påverkbara faktorer har signifikant inflytande på elevers genomsnittliga matematikprestation i en kommun. Dessutom konstateras att statliga utgifter skulle göra mer nytta om man valde att satsa på lärarnas kvalitet istället för att satsa på ett ökat antal lärare.
Taylor, Helen Kermgard. "Evaluation of a community college extended orientation course : effect on self-appraisal and performance /." Thesis, Connect to this title online; UW restricted, 1988. http://hdl.handle.net/1773/7882.
Full textBlackwell, Shawnrell Denise. "The Impact of a Transition Program on Ninth Grade Students' Performance." Diss., Virginia Tech, 2008. http://hdl.handle.net/10919/29880.
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Mthimunye, Katlego Dumisani Trevor. "Predictors of academic performance and throughput among second-year nursing students at a university in the Western Cape." University of the Western Cape, 2015. http://hdl.handle.net/11394/4695.
Full textBackground: Institutions offering Bachelor of Nursing programmes worldwide are under increasing pressure to graduate larger numbers of students to meet the demands of the desired nurse workforce. High academic performance, which is measured by continuous assessment and examination results, is one of the major goals of higher education. However many students experience difficulty during their second year of study at the university used in this study. Aim: The overall aim of the study is to assess whether the identified predictor variables (cognitive, non-cognitive and demographic) influence academic performance of second-year nursing students at the University of the Western Cape. Methodology: A non-experimental quantitative research approach with a cross-sectional predictive design was applied. The selected sample (n=226) included all first-time enrolled Bachelor of Nursing students for the years 2012 – 2013 at the University of the Western Cape. An all-inclusive sampling method was applied. Data were obtained from the Student Administrative System Integrated and recorded in the data collection check list. Statistical Package for Social Sciences software version 23.0 was used sort and analyse the data. Simple and multiple linear regression were done. Ethics: Permission to conduct the present research study at the University of the Western Cape was obtained from the Registrar and the Director of The School of Nursing. The Research Ethics Committee of the University of the Western Cape granted ethics approval related to the research. The researcher maintained the principles of anonymity and confidentiality throughout the study. Results: The study found that the cognitive predictor variables had the strongest predictive power in association with student performance in comparison to the non-cognitive predictors and demographic variable, besides race which rejected the null hypothesis. Conclusion: The findings provided evidence to the School of Nursing to assist them in identifying students who may be at risk of unsatisfactory academic performance and who ultimately fail to proceed to the next level of study.
Edwards, Nicole C. "School facilities and student achievement student perspectives on the connection between the urban learning environment and student motivation and performance /." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1164663224.
Full textAlcine, Enock. "Teachers' Perceptions of Academic Performance and Student Engagement Among Ninth-Grade Students." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/6390.
Full textPurdie, John R. "Examining the academic performance and retention of first-year students in living-learning communities, freshmen interest groups and first year experience courses." Diss., Columbia, Mo. : University of Missouri-Columbia, 2007. http://hdl.handle.net/10355/4710.
Full textThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on October 8, 2007) Vita. Includes bibliographical references.
Books on the topic "Student’s performance"
Last, Joan. The young pianist: An approach for teachers and students. 2nd ed. Oxford: Oxford University Press, 1985.
Find full textJaffé, Daisy de Luca. Relaxation techniques for advanced piano students. Pensacola, FL: Beka Book, 2001.
Find full textCrooks, Terry. Assessing student performance. Kensington, N.S.W: Higher Education Research and Development Society of Australasia, 1988.
Find full textHadjimatheou, George. Students' characteristics and economics gegree performance. Kingston upon Thames: School of Economics and Politics, Kingston Polytechnic, 1985.
Find full textAuslander, Philip. Theory for performance studies: A student's guide. New York, NY: Routledge, 2007.
Find full textTheory for performance studies: A student's guide. Abingdon : New York: Routledge, 2007.
Find full textEngaging students through performance assessment: Creating performance tasks to monitor student learning. Englewood, Colo: Lead + Learn Press, 2011.
Find full textPerformance assessment in orchestra. San Diego, Calif: Kjos, 2009.
Find full textMichael, O'Malley J., National Clearinghouse for Bilingual Education, and United States. Office of Bilingual Education and Minority Languages Affairs, eds. Performance and portfolio assessment for language minority students. Washington, DC (1118 22nd St., NW, Washington 20037): National Clearinghouse for Bilingual Education, 1992.
Find full textColorado. Office of State Auditor. Postsecondary programs for high school students performance audit. [Denver, Colo: Office of State Auditor, 2001.
Find full textBook chapters on the topic "Student’s performance"
Kumar, Ravindra, Megha Kumar, and Upasna Joshi. "Data Mining-Based Student’s Performance Evaluator." In Advances in Intelligent Systems and Computing, 719–26. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8618-3_73.
Full textBabanli, J. M. "Fuzzy Approach for Evaluation of Student’s Performance." In Advances in Intelligent Systems and Computing, 140–47. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64058-3_18.
Full textKaklauskas, Arturas. "Recommender System to Analyze Student’s Academic Performance." In Intelligent Systems Reference Library, 195–220. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13659-2_7.
Full textJedidi, Youssef, Abdelali Ibriz, Mohamed Benslimane, Mehdi Tmimi, and Mounia Rahhali. "Predicting Student’s Performance Based on Cloud Computing." In Lecture Notes in Electrical Engineering, 113–23. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6893-4_11.
Full textRadhamani, Rakhi, Hemalatha Sasidharakurup, Gopika Sujatha, Bipin Nair, Krishnashree Achuthan, and Shyam Diwakar. "Virtual Labs Improve Student’s Performance in a Classroom." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 138–46. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13293-8_17.
Full textBonde, Sharayu N., and D. K. Kirange. "Educational Data Mining Survey for Predicting Student’s Academic Performance." In Lecture Notes on Data Engineering and Communications Technologies, 293–302. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24643-3_35.
Full textMallikarjun Rao, B., and B. V. Ramana Murthy. "Prediction of Student’s Educational Performance Using Machine Learning Techniques." In Advances in Intelligent Systems and Computing, 429–40. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1097-7_36.
Full textFarissi, Al, Halina Mohamed Dahlan, and Samsuryadi. "Genetic Algorithm Based Feature Selection for Predicting Student’s Academic Performance." In Advances in Intelligent Systems and Computing, 110–17. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33582-3_11.
Full textRana, Shiwani, and Roopali Garg. "Student’s Performance Evaluation of an Institute Using Various Classification Algorithms." In Information and Communication Technology for Sustainable Development, 229–38. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3920-1_23.
Full textMotoki, Akihiro, and Takashi Nagatsuka. "A Note-Taking Data Sharing System for Improving Student’s Performance." In The Outreach of Digital Libraries: A Globalized Resource Network, 361–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34752-8_54.
Full textConference papers on the topic "Student’s performance"
Calado, Jorge, Fernando Luís-Ferreira, Joao Sarraipa, and Ricardo Jardim-Goncalves. "A Framework to Bridge Teachers, Student’s Affective State, and Improve Academic Performance." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-72000.
Full text"Predicting Student’s Academic Performance in a MOOC Environment." In CABES-2017, DMCCIA-2017, FEBM-17, BDCMTE-17, LLHIS-17 and BMLE-17. Dignified Researchers Publication (DiRPUB), 2018. http://dx.doi.org/10.15242/dirpub.dir1217002.
Full textAmalita, Nonong, Dina Fitria, and Rafi Oktriatama. "Analysis of Student’s Performance Index Using Confirmatory Analysis." In Proceedings of the 7th Mathematics, Science, and Computer Science Education International Seminar, MSCEIS 2019, 12 October 2019, Bandung, West Java, Indonesia. EAI, 2020. http://dx.doi.org/10.4108/eai.12-10-2019.2296279.
Full textKiu, Ching-Chieh. "Data Mining Analysis on Student’s Academic Performance through Exploration of Student’s Background and Social Activities." In 2018 Fourth International Conference on Advances in Computing, Communication & Automation (ICACCA). IEEE, 2018. http://dx.doi.org/10.1109/icaccaf.2018.8776809.
Full textBessette, Amanda, Vitalis Okafor, and Beshoy Morkos. "Correlating Student Motivation to Course Performance in Capstone Design." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-35506.
Full textBessette, Amanda, Beshoy Morkos, and Shraddha Sangelkar. "Improving Senior Capstone Design Student Performance Through Integration of Presentation Intervention Plan." 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/detc2015-47604.
Full textAziz, Abdul, Md Asaf-uddowla Golap, and M. M. A. Hashem. "Student’s Academic Performance Evaluation Method Using Fuzzy Logic System." In 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT). IEEE, 2019. http://dx.doi.org/10.1109/icasert.2019.8934496.
Full textCorkin, D., and P. Cardwell. "G50 An innovative approach to assessing nursing student’s performance." In Royal College of Paediatrics and Child Health, Abstracts of the Annual Conference, 24–26 May 2017, ICC, Birmingham. BMJ Publishing Group Ltd and Royal College of Paediatrics and Child Health, 2017. http://dx.doi.org/10.1136/archdischild-2017-313087.49.
Full textMoura, Waldir, Mônica Silva, Jonice Sampaio, Tainá Souza, Elton Marinho, and Victor Prado. "A Social Network Approach for Student’s School Performance Measurement." In 13th International Conference on Computer Supported Education. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010480003110318.
Full textConcatto, Fernando, Alex Luciano Roesler Rese, Rafael De Santiago, Rudimar Luis Scaranto Dazzi, and Anita Maria da Rocha Fernandes. "Investigação Quanto ao Papel de Círculos Sociais no Desempenho Discente no Ensino Superior Utilizando Análise de Redes Complexas." In Computer on the Beach. Itajaí: Universidade do Vale do Itajaí, 2020. http://dx.doi.org/10.14210/cotb.v11n1.p206-213.
Full textReports on the topic "Student’s performance"
McGee, Steven, Ronald I. Greenberg, Lucia Dettori, Andrew M. Rasmussen, Randi Mcgee-Tekula, Jennifer Duck, and Erica Wheeler. An Examination of Factors Correlating with Course Failure in a High School Computer Science Course. The Learning Partnership, August 2018. http://dx.doi.org/10.51420/report.2018.1.
Full textLeu, Katherine. Data for Students: The Potential of Data and Analytics for Student Success. RTI Press, March 2020. http://dx.doi.org/10.3768/rtipress.2020.rb.0023.2003.
Full textFilmer, Deon, James Habyarimana, and Shwetlena Sabarwal. Teacher Performance-Based Incentives and Learning Inequality. Research on Improving Systems of Education (RISE), September 2020. http://dx.doi.org/10.35489/bsg-rise-wp_2020/047.
Full textVILLONEZ, GLEN LORETO. Collaborative Learning Impact on Students’ Performance in Mechanics. Matters of Behaviour, 2018. http://dx.doi.org/10.26455/mob.v2i2.14.
Full textEberts, Randall W., Kevin Hollenbeck, and Joe Allan Stone. Teacher Performance Incentives and Student Outcomes. W.E. Upjohn Institute, August 2000. http://dx.doi.org/10.17848/wp00-65.
Full textFiglio, David, and Lawrence Kenny. Individual Teacher Incentives And Student Performance. Cambridge, MA: National Bureau of Economic Research, October 2006. http://dx.doi.org/10.3386/w12627.
Full textTemple, Enoch C. The Enhancement of Overall Student Performance Through a Statistics Research Program for Students who are Recruited into Science, Engineering and Mathematics Programs. Fort Belvoir, VA: Defense Technical Information Center, November 2001. http://dx.doi.org/10.21236/ada397255.
Full textSchoen, Robert C., Mark LaVenia, Charity Bauduin, and Kristy Farina. Elementary Mathematics Student Assessment: Measuring the Performance of Grade 1 and 2 Students in Counting, Word Problems, and Computation in Fall 2013. Florida State University, December 2016. http://dx.doi.org/10.17125/fsu.1508170543.
Full textSchoen, Robert C., Mark LaVenia, Charity Bauduin, and Kristy Farina. Elementary Mathematics Student Assessment: Measuring the Performance of Grade 1 and 2 Students in Counting, Word Problems, and Computation in Fall 2014. Florida State University, December 2016. http://dx.doi.org/10.17125/fsu.1508174887.
Full textSchoen, Robert C., Daniel Anderson, and Charity Bauduin. Elementary Mathematics Student Assessment: Measuring the Performance of Grade K, 1, and 2 Students in Number, Operations, and Equality in Spring 2016. Florida State University Libraries, May 2017. http://dx.doi.org/10.17125/fsu.1534964774.
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