Results for 'Student performance'

296+ found
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  1.  96
    Social media and student performance: the moderating role of ICT knowledge.Robert Kwame Dzogbenuku, George Kofi Amoako & Desmond K. Kumi - 2019 - Journal of Information, Communication and Ethics in Society 18 (2):197-219.
    PurposeThis study aims to determine the impact of social media usage on university student’s academic performance in Ghana.Design/methodology/approachA quantitative research method was used for the study. With the aid of a simple random sampling technique, quantitative data were obtained from 373 out of 400 respondents representing 93 per cent of volunteered participants. Data collected was analysed using structural equation modelling to establish the relationship among social media information, social media entertainment, social media innovation, social media knowledge generation and (...)
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  2.  65
    Students' Performances in Computer Programming of Higher Education for Sustainable Development: The Effects of a Peer-Evaluation System.Tsung-Chih Hsiao, Ya-Hsueh Chuang, Tzer-Long Chen, Chien-Yun Chang & Chih-Cheng Chen - 2022 - Frontiers in Psychology 13.
    Modern education attaches great importance to interdisciplinary skills, among which computational thinking is a core element, and heralds a new era. IT application has shaped education in the 21st century. Computational thinking has provided further impetus for building an all-encompassing social network and fostering a DIY culture enabled by digital technologies. One empirical study used four apps to test children's development in computational thinking and fluency. The article will help students overcome their fears of coding. Peer reviews provide students with (...)
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  3.  38
    Student Performance Prediction with Optimum Multilabel Ensemble Model.Abrahaley Teklay Haile & Ephrem Admasu Yekun - 2021 - Journal of Intelligent Systems 30 (1):511-523.
    One of the important measures of quality of education is the performance of students in academic settings. Nowadays, abundant data is stored in educational institutions about students which can help to discover insight on how students are learning and to improve their performance ahead of time using data mining techniques. In this paper, we developed a student performance prediction model that predicts the performance of high school students for the next semester for five courses. We (...)
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  4.  44
    Predicting Student Performance Using Machine Learning in fNIRS Data.Amanda Yumi Ambriola Oku & João Ricardo Sato - 2021 - Frontiers in Human Neuroscience 15.
    Increasing student involvement in classes has always been a challenge for teachers and school managers. In online learning, some interactivity mechanisms like quizzes are increasingly used to engage students during classes and tasks. However, there is a high demand for tools that evaluate the efficiency of these mechanisms. In order to distinguish between high and low levels of engagement in tasks, it is possible to monitor brain activity through functional near-infrared spectroscopy. The main advantages of this technique are portability, (...)
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  5.  18
    (1 other version)Student Performance in Identifying Unexpressed Premisses and Argumentation Schemes.Frans H. Eemeren, Kees Glopper, Rob Grootendorst & Ron Oostdam - 2015 - In Bert Meuffels, Bart Garssen, Frans van Eemeren & Frans H. van Eemeren, Reasonableness and Effectiveness in Argumentative Discourse: Fifty Contributions to the Development of Pragma-Dialectics. Cham, Switzerland: Springer Verlag. pp. 743-757.
    An adequate evaluation of argumentation starts from an analytic overview of the argumentative discourse. In such an overview, among other things, the unexpressed premisses and the relevant argumentation schemes are identified (van Eemeren and Grootendorst 1984, 1992). The extent to which ordinary language users are capable of carrying out such identifications can only be answered by the use of empirical research. Here, we report about our empirical investigations on the performances of students in Dutch secondary education.
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  6.  74
    Student Performance in High School Social Studies Using SQ3R and SQ3R with Metacognition.Paula S. Herbst & Penelope Fritzer - 1997 - Journal of Social Studies Research 21 (1):44-48.
    This study investigated the effect of using graphic organizers on 316 regular tracked ninth grade students in social studies. Posttest 1 was an immediate recall test. Posttest 2 was a delayed recall test, which was given three weeks after posttest1. The results indicated that the graphic organizers and/or elaboration SQ3R and SQ3R with metacognition (were the two most effective learning activities used by students. These specific graphic organizers positively affected achievement of ninth grade social studies students. This study also found (...)
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  7. Should medical students perform pelvic exams on anaesthetised patients without explicit consent?Chloe Bell & Nathan Emmerich - 2022 - Clinical Ethics 17 (3):230-234.
    There have been many reports of medical students performing pelvic exams on anaesthetised patients without the necessary consent being provided or even sought. These cases have led to an ongoing discussion regarding the need to ensure informed consent has been secured and furthermore, how it might be best obtained. We consider the importance of informed consent, the potential harm to both the patient and medical student risked by the suboptimal consent process, as well as alternatives to teaching pelvic examinations (...)
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  8.  64
    Educational Data Mining Techniques for Student Performance Prediction: Method Review and Comparison Analysis.Yupei Zhang, Yue Yun, Rui An, Jiaqi Cui, Huan Dai & Xuequn Shang - 2021 - Frontiers in Psychology 12.
    Student performance prediction aims to evaluate the grade that a student will reach before enrolling in a course or taking an exam. This prediction problem is a kernel task toward personalized education and has attracted increasing attention in the field of artificial intelligence and educational data mining. This paper provides a systematic review of the SPP study from the perspective of machine learning and data mining. This review partitions SPP into five stages, i.e., data collection, problem formalization, (...)
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  9.  87
    (1 other version)Comparative Study of Imputation Algorithms Applied to the Prediction of Student Performance.Concepción Crespo-Turrado, José Luis Casteleiro-Roca, Fernando Sánchez-Lasheras, José Antonio López-Vázquez, Francisco Javier De Cos Juez, Francisco Javier Pérez Castelo, José Luis Calvo-Rolle & Emilio Corchado - 2019 - Logic Journal of the IGPL.
    Student performance and its evaluation remain a serious challenge for education systems. Frequently, the recording and processing of students’ scores in a specific curriculum have several flaws for various reasons. In this context, the absence of data from some of the student scores undermines the efficiency of any future analysis carried out in order to reach conclusions. When this is the case, missing data imputation algorithms are needed. These algorithms are capable of substituting, with a high level (...)
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  10. Metacognitive and Computation Skills: Predicting Students' Performance in Mathematics.Elton John Embodo - 2019 - International Journal of Scientific Engineering and Science 3 (5):30-35.
    Computation and Metacognitive skills are essential sub-skills under the domain of Critical Thinking which is a 21 st Century Skill. Having acquired these skills can greatly help students to have a better performance in the Mathematics course. The purpose of this study was to determine whether computation and metacognitive skills are significant predictors of students' performance in Mathematics. Students from four sections of the course Mathematics in the Modern World which was offered during the first semester of the (...)
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  11.  69
    Students’ evaluation of the trustworthiness of historical sources: Procedural knowledge and task value as predictors of student performance.Maartje van der Eem, Jannet van Drie, Saskia Brand-Gruwel & Carla van Boxtel - 2023 - Journal of Social Studies Research 47 (1):64-76.
    Evaluating the trustworthiness of sources is important in today’s society. However, research has shown that students struggle when applying this skill. This study in history education aims to gain insight into students’ procedural knowledge about evaluating the trustworthiness of sources and into the value students attach to learning this skill. Grade 9 students (N = 132) performed tasks and filled out a questionnaire. Students applied more correct criteria of trustworthiness than they reported knowing. They considered this skill somewhat important and (...)
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  12.  52
    Comparison of Standard Student Performance When Science Study is Organized Around Typical Concepts Versus Local Issues.Robert E. Yager - 1989 - Bulletin of Science, Technology and Society 9 (2-3):171-181.
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  13. Justice, Deontology and Moral Meaningfulness as Factors to Improve Student Performance and Academic Achievement.Manuel Soto-Pérez, Jose-Enrique Ávila-Palet & Juan E. Núñez-Ríos - 2022 - Journal of Academic Ethics 20 (3):375-397.
    The relationship between ethics and performance has previously been addressed in the literature, although there are still some gaps, for example, the relationship of ethical ideologies to student performance. This work aims to contribute to the literature with a statistical evaluation using partial least squares path modelling (PLS-PM) regarding whether university students’ ethical ideologies and moral meaningfulness influence their level of student performance and academic achievement. Results indicate that the ideologies of justice and deontology increase (...)
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  14.  55
    Application of Advanced Statistical Techniques to Improve the Prediction of Student Performance in Mathematics.Nancy Elizabeth Chariguamán Maurisaca, Fernando Ysmael Cenas Chacón, Ximena Paz Martínez Oportus & Moises Chuquimango Chilon - forthcoming - Evolutionary Studies in Imaginative Culture:453-462.
    The present study explores the application of advanced statistical techniques to predict the academic performance of students in the area of mathematics. Through the use of logistic regression models, decision trees, and neural networks, data from 500 high school students in public institutions were analyzed. The results show that advanced statistical techniques allow a more accurate prediction of academic performance, with a success rate of 87% in neural network models. These findings suggest that the integration of these tools (...)
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  15.  36
    Goals and guesses as reference points: a field experiment on student performance.Gerardo Sabater-Grande, Nikolaos Georgantzís & Noemí Herranz-Zarzoso - 2022 - Theory and Decision 94 (2):249-274.
    In this paper, we study overconfidence and goal-setting in academic performance, with and without monetary incentives. Students enrolled in a microeconomics course were offered the possibility of setting their own target grade before taking part in the final exam. They were also asked to guess their grade immediately after they had taken the exam (“post-diction”). In general, students overestimated their performance, both at the goal-setting and at the post-diction stages. Controlling for several sources of this bias (cognitive abilities, (...)
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  16.  79
    An investigation of 3rd‐grade Taiwanese students' performance in number sense.Der‐Ching Yang & Mao‐Neng Fred Li - 2008 - Educational Studies 34 (5):443-455.
    The main purpose of this study was to investigate the number sense performance of 3rd?graders in Taiwan, and to diagnose areas of weakness or deficiency in number sense development. A total of 808 3rd?graders participated in this study. The results indicated that these students did not perform well on each of the five number sense components (correct rates approx. 34%), and they appeared worst on the performance of ?Judging the reasonableness of computational results?. Boys and girls did not (...)
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  17. Mathematics Performance and Self-efficacy as Correlates of Statistics and Probability Achievement of Students.Jeraldine Immariz Dumaguit, Ronel Dagohoy, Leomarich Casinillo & Melbert Hungo - 2025 - Canadian Journal of Family and Youth 17 (1):16-36.
    Statistics and probability enabled students to better understand, process, and evaluate massive amounts of quantitative data that existed and had a probabilistic sense in uncertain situations. The research article aimed to elucidate the performance and self-efficacy as predictors of students' achievement in the statistics and probability courses. The study utilized a descriptive-predictive research method and was conducted at Sto. Tomas National High School, involving a sample of 263 grade 11 senior high school students. The gathered data were analyzed using (...)
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  18.  54
    Non-cognitive skills of university professors and their impact on student performance.Edwin Daniel Félix Benites, Ernesto Cjuno Choquepuma, Delia Jessica Astete Medrano, Benedicto Baca Rosado & Judith Beatriz Bello Durand - 2025 - Prometeica - Revista De Filosofía Y Ciencias 32.
    Em muitas ocasiões e em diferentes realidades, aspectos ou qualidades do profissional de ensino que podem contribuir para uma maior eficácia do ensino foram negligenciados. Em outras palavras, os padrões profissionais de ensino usados até agora na avaliação do desempenho docente esquecem que o professor é um ser humano que tem atributos pessoais ou habilidades não cognitivas; essas características ajudarão os alunos a obter um desempenho acadêmico real. O objetivo é analisar a literatura científica existente sobre o impacto que as (...)
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  19. The Imputation of Authenticity in the Assessment of Student Performances in Art.Neil C. M. Brown - 2001 - Educational Philosophy and Theory 33 (3-4):305-323.
  20.  58
    University Students' Online Learning During COVID-19: The Role of Grit in Academic Performance.Francesco Sulla, Antonio Aquino & Dolores Rollo - 2022 - Frontiers in Psychology 13.
    The governmental restriction due to COVID-19 pandemic led to Italian Universities moving teaching from face-to-face, to online. This represented an unexpected transition from traditional learning to what can be considered “e-learning.” This, together with the psychological distress that may be associated with the experience of lockdown, might have affected students' performance. It was hypothesised that grit may be a protective factor in such situations. Indeed, compared to their less “gritty” peers, individuals with higher levels of grit are expected to (...)
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  21.  71
    Academic performance in reading a text as related to course grades: Student performance when studying is impossible.Russell Eisenman, Cam L. Melville & Connie F. St Andrie - 1992 - Bulletin of the Psychonomic Society 30 (6):511-512.
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  22. Merit-based pay for teachers does not improve student performance-January 9.Alison Tonge Foip - forthcoming - Ethics.
     
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  23. Research writing in first-year composition and across disciplines: Assignments, attitudes, and student performance.Daniel Melzer & Pavel Zemliansky - 2003 - Kairos: A Journal of Rhetoric, Technology, and Pedagogy 8 (1).
  24. Molecular‐equilibrium problems: Manipulation of logical structure and of M‐demand, and their effect on student performance.Georgios Tsaparlis, Margarita Kousathana & Mansoor Niaz - 1998 - Science Education 82 (4):437-454.
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  25.  33
    Corrigendum: Educational Data Mining Techniques for Student Performance Prediction: Method Review and Comparison Analysis.Yupei Zhang, Yue Yun, Rui An, Jiaqi Cui, Huan Dai & Xuequn Shang - 2022 - Frontiers in Psychology 12.
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  26.  55
    How Schools Affect Student Well-Being: A Cross-Cultural Approach in 35 OECD Countries.Elena Govorova, Isabel Benítez & José Muñiz - 2020 - Frontiers in Psychology 11.
    A common approach for measuring the effectiveness of an education system or a school is the estimation of the impact that school interventions have on students’ academic performance. However, the latest trends aim to extend the focus beyond students’ acquisition of knowledge and skills, and to consider aspects such as well-being in the academic context. For this reason, the 2015 edition of the international assessment system PISA incorporated a new tool aimed at evaluating the socio-affective variables related to the (...)
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  27.  30
    Student Stress in Community Colleges: Creating Healthy, Ethical Spaces for Learning.Corrine D. Ferguson & Margaret A. Toye - 2025 - In Lisa Vogt & Brenda M. Stoesz, Academic Integrity in Vocational and Polytechnic Education. Cham: Springer Nature Switzerland. pp. 119-136.
    Student stress and mental health continue to be a concern for higher education institutions following the height of the COVID-19 pandemic and resulting campus closures and emergency remote teaching. Research has shown that elevated stress levels negatively impact student mental health and academic performance. Community colleges providing 8-to-24-month certificate and diploma programs, accessible through a variety of delivery modalities, attract a diverse student body with complex stress experiences. The stressors students experience in their everyday lives can (...)
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  28. Student Evaluations: A Critical Review.Michael Huemer - manuscript
    Informal student evaluations of faculty were started in the 1960's by enterprising college students.(1) Since then, their use has spread so that now they are administered in almost all American colleges and universities and are probably the main source of information used for evaluating faculty teaching performance.(2) There is an enormous literature on the subject of student evaluations of faculty (SEF).(3) The following is a summary of some developments in that literature that should be of special interest (...)
     
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  29.  44
    Optimizing Student Models for Causality.Benjamin Shih, Kenneth Koedinger & Richard Scheines - unknown
    Complex student models often include key parameters critical to their behavior and effectiveness. For example, one meta-cognitive model of student help-seeking in intelligent tutors includes 15 rules and 10 parameters. We explore whether or not this model can be improved both in accuracy and generalization by using a variety of techniques to select and tune parameters.We show that such techniques are important by demonstrating that the normal method of fitting parameters on an initial data set generalizes poorly to (...)
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  30. Performativity, Faith and Professional Identity: Student Religious Education Teachers and The Ambiguities of Objectivity.Hazel Bryan & Lynn Revell - 2011 - British Journal of Educational Studies 59 (4):403-419.
    This paper considers the way in which Christian Religious Education (RE) teachers articulate the difficulties and challenges they experience both in school and with their peers as they navigate their way through their Initial Teacher Education. The paper offers a unique exploration of the relationship between elements of the three discourses of faith identity, emerging professional identity and the requirements of a performative teacher training context. Semi-structured interviews were undertaken with 184 student RE teachers across three universities. It became (...)
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  31.  29
    Enhancing Student Learning Outcomes through AI-Driven Educational Interventions: A Comprehensive Study of Classroom Behavior and Machine Learning Integration.ChunHong Yuan, Nan Xiao, YuTing Pei, YuJia Bu & YuLe Cai - 2025 - International Theory and Practice in Humanities and Social Sciences 2 (2):197-215.
    This study investigates the integration of artificial intelligence (AI) in education to enhance student learning outcomes through personalized interventions. Using datasets encompassing classroom behavior, individualized learning paths, and teaching practices, the study identifies key factors influencing student engagement and performance. Employing the XGBoost classifier, it achieves a 96% accuracy in predicting student outcomes, enabling targeted support for at-risk students. A mixed-methods approach reveals the importance of engagement, effective teaching, and personalization in fostering inclusive learning environments. Despite (...)
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  32.  74
    University Student Engagement Inventory (USEI): Transcultural Validity Evidence Across Four Continents.Hugo Assunção, Su-Wei Lin, Pou-Seong Sit, Kwok-Cheung Cheung, Heidi Harju-Luukkainen, Thomas Smith, Benvindo Maloa, Juliana Álvares Duarte Bonini Campos, Ivana Stepanovic Ilic, Giovanna Esposito, Freda Maria Francesca & João Marôco - 2020 - Frontiers in Psychology 10:489785.
    Academic engagement describes students’ involvement in academic learning and achievement. This paper reports the psychometric properties of the University Student Engagement Inventory (USEI) with a sample of 3992 university students from nine different countries and regions from Europe, North and South America, Africa, and Asia. The USEI operationalizes a trifactorial conceptualization of academic engagement (behavioral, emotional and cognitive). Construct validity was assessed by means of confirmatory factor analysis and reliability was assessed using Cronbach’s alpha and McDonald’s omega coefficients. Weak (...)
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  33.  96
    Academic Performance in Adolescent Students: The Role of Parenting Styles and Socio-Demographic Factors – A Cross Sectional Study From Peshawar, Pakistan.Sarwat Masud, Syed Hamza Mufarrih, Nada Qaisar Qureshi, Fahad Khan, Saad Khan & Muhammad Naseem Khan - 2019 - Frontiers in Psychology 10.
    Academic performance is among the several components of academic success. Many factors, including socioeconomic status, student temperament and motivation, peer and parental support influence academic performance. Our study aims to investigate the determinants of academic performance with emphasis on the role of parental styles in adolescent students in Peshawar Pakistan. A total of 456 students from 4 public and 4 private schools were interviewed. Academic performance was assessed based on self-reported grades in the latest internal (...)
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  34. Performing for the students: Teaching identity and the pedagogical relationship.James Stillwaggon - 2008 - Journal of Philosophy of Education 42 (1):67-83.
    Teacher identity is defined in its relations, on the one hand, to curriculum and, on the other, to students: to be identified as a teacher is to be taken by the latter as a bearer of the former. In this essay I consider some variations on theorising teacher identity within these relational terms. Beginning with the educational task of cultivating student subjects within the often impersonal aims of curriculum, I reject a correspondingly personalised production of teacher identity that would (...)
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  35.  12
    Evaluating Student Evaluations.Kenton Machina - unknown
    After describing common faculty worries and objections regarding the use of student evaluations for personnel decision-making, I describe ways in which student evaluations can be used appropriately, and ways in which faculty can gain useful information from them. I argue that using student evaluations in personnel decision-making can be appropriate only if they are used as only one measure of faculty performance, and not as a measure of things that students are not equipped to measure.
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  36.  41
    Lecturer-Student Collaboration as Responsible Management Education.Victoria Pagan & Ellie McGuigan - 2019 - Journal of Business Ethics Education 16:25-40.
    This article contributes to the conversation on the implementation of the Principles of Responsible Management Education by reflecting the authors’ specific experiences of being lecturer and student in delivering/engaging with the Principles. It gives voice to these roles, which is largely absent from the extant literature that instead focuses most frequently on macrolevel, institutional motivation and programme development. The work provided outcomes that met institutional performance development requirements, teaching and research outputs. It provided an integrated learning and employment (...)
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  37.  39
    Student Inquiries into Neglected Research for a Sustainable Society: Communication and Application.Chris Russill & Joshua Pearce - 2003 - Bulletin of Science, Technology and Society 23 (4):311-320.
    By applying the interdisciplinary approach of science, technology, and society, students can solve often-neglected research problems of shifting society's operation toward a sustainable state. A recent Penn State University student research report titled The Mueller Report: Moving Beyond Sustainability Indicators to Sustainability Action contained a detailed ecological analysis of one campus building and addressed methods to optimize its ecological performance in terms of sustainability by using both behavioral and technological improvements. This article analyzes the factors that affected the (...)
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  38.  74
    College Students' Learning Performance, Teaching Skills, and Teaching Innovation in Intercultural Communication Class: Evidence Based on Experiential Learning Theory.Xueli Zhang & Xiaoyan Cheng - 2022 - Frontiers in Psychology 13.
    In China, the improvement of the learner performance is critical a challenge for the teaching staff and the management in intercultural communication class. Indeed, the administration of the Chinese schools is failed to provide effective learning to the students with innovative methods. The objective of this study was to identify the role of college students' learning performance, teaching skills, and teaching innovation in intercultural communication class. This study is based on the quantitative data collected on a five-point Likert (...)
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  39.  50
    University Students and Their Ability to Perform Self-Regulated Online Learning Under the COVID-19 Pandemic.Blanka Klimova, Katarina Zamborova, Anna Cierniak-Emerych & Szymon Dziuba - 2022 - Frontiers in Psychology 13.
    The COVID-19 pandemic has affected all aspects of the educational system, including students’ learning styles, which are heavily dependent on self-regulated studying strategies and motivation. The purpose of this study was to discover whether Central European students, in this case the Slovak and Czech students, were able to perform self-regulated learning during online learning under the COVID-19 pandemic to achieve their learning goals and improve academic performance, as well as to propose a few practical recommendations how to develop and (...)
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  40.  48
    The University Student is Seen as a Customer: A Qualitative Analysis to Enhance Academic Performance from Satisfaction.Luis Miguel Olórtegui Alcalde - forthcoming - Evolutionary Studies in Imaginative Culture:1553-1566.
    In this article a study is carried out to identify the aspects of student satisfaction that allow improving university academic performance through applied educational research with a qualitative approach. Likewise, it is specified that the study problem is: how to enhance academic performance based on the satisfaction of the university student seen as a customer? The theoretical framework states that the way to be able to plan, know, and evaluate the satisfaction of students concerning the service (...)
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  41.  40
    Performance in state tests for public accounting students in Colombia.María del Pilar Corredor García, Mariela Andrea Trujillo Prada & William Javier Villalba-Rodríguez - 2022 - Human Review. International Humanities Review / Revista Internacional de Humanidades 12 (1):1-10.
    El objetivo del artículo es analizar la percepción que tienen los estudiantes de contaduría pública sobre pruebas estandarizadas del Estado, antes de su titulación, permitirá a su vez establecer si dicha percepción influye en el desempeño.Se utiliza la metodología mixta con una perspectiva de tipo descriptiva, que se basó en una revisión documental sobre modelos de evaluación, diseñando un instrumento con una muestra de 99 participantes de último grado.Se concluye una reducción en puntajes frente a competencias genéricas; comprensión lectora, matemáticas (...)
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  42. Relative performance of college students as conditioned by time of day and day of week.Donald A. Laird - 1925 - Journal of Experimental Psychology 8 (1):50.
  43.  68
    Magic Performances – When Explained in Psychic Terms by University Students.Lise Lesaffre, Gustav Kuhn, Ahmad Abu-Akel, Déborah Rochat & Christine Mohr - 2018 - Frontiers in Psychology 9:346626.
    Paranormal beliefs (PBs), such as the belief in the soul, or in extrasensory perception, are common in the general population. While there is information regarding what these beliefs correlate with (e.g., cognitive biases, personality styles), there is little information regarding the causal direction between these beliefs and their correlates. To investigate the formation of beliefs, we use an experimental design, in which PBs and belief-associated cognitive biases are assessed before and after a central event: a magic performance (see also (...)
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  44.  58
    La Evaluación del Alumno en un Proceso de Enseñanza-Aprendizaje en la Modalidad Virtual (The Student's Evaluation in a Teaching-Learning Process in Virtual Modality).Armando Tijerina Garcia - 2010 - Daena 5 (2):145-169.
    Resumen. Este artículo ofrece una propuesta enfocada a optimizar el proceso de evaluación sobre el aprovechamiento del alumno, en un ambiente virtual, mediante el concepto GROUPWARE:, técnicas de comunicación grupal, utilizando las Nuevas tecnologías de Información y las Comunicaciones [NTIC’s], como herramientas básicas, llevando el registro y seguimiento estadístico del aprovechamiento actitudinal del estudiante, posibilitando así, el uso y la construcción de índices significativos, seguros y fiables, que permitan al instructor/facilitador/tutor, gestionar de un diagnóstico, sobre el comportamiento, esfuerzo, dedicación y (...)
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  45. Problems of school management and students' academic performance in secondary schools in Calabar education zone, Cross River State, Nigeria.Valentine Joseph Owan, Blessing Iheoma Nwannunu & Esther Chijioke Madukwe - 2018 - International Journal of Research and Innovation in Social Science (IJRISS) 2 (10):120-127.
    This study investigated problems of school management and secondary school students' academic performance in Calabar Education Zone of Cross River State. Two null hypotheses were formulated to guide the study. The study adopted an ex-post facto research design. Proportionate stratified sampling technique was employed in selecting a sample of 3616 students out of the population of 18, 078 students. "Problems of School Management Questionnaire (PSMQ)," and Senior Secondary Mathematics Achievement Test (SSMAT) were the instruments designed by the researcher, were (...)
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  46.  39
    School Sector and Student Outcomes.Maureen T. Hallinan (ed.) - 2006 - University of Notre Dame Press.
    _"School Sector and Student Outcomes_ is an important work for policy makers and social scientists alike. This research is critically important for anyone concerned with educational policy and the academic future of our children." —Teresa A. Sullivan, Provost and Executive Vice President for Academic Affairs, The University of Michigan "Providing original contributions to our understanding of school sectors, this volume will be of great interest to sociologists of education and scholars and students in education, history, and political science." —George (...)
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  47. Master Questions, Student Questions, and Genuine Questions: A Performative Analysis of Questions in Chan Encounter Dialogues.Nathan Eric Dickman - 2020 - Religions 11 (2).
    I want to know whether Chan masters and students depicted in classical Chan transmission literature can be interpreted as asking open (or what I will call “genuine”) questions. My task is significant because asking genuine questions appears to be a decisive factor in ascertaining whether these figures represent models for dialogue—the kind of dialogue championed in democratic society and valued by promoters of interreligious exchange. My study also contributes to a more comprehensive understanding of early Chan not only by detailing (...)
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  48. Impact of Financial Stress on Academic Performance of University Students in South East Nigeria.Anuli R. Ogbuagu, Precious I. Ohalete, Chinyere T. Nwaoga, Favour C. Uroko & Ahamba Kenneth Onyeanuna - 2025 - Human Affairs 35 (1):119-136.
    The purpose of this study is to examine how financial stress affects academic performance among university students in South East Nigeria. By using descriptive statistics and the Chi-Square model, we examined the relationship between financial stress and academic outcomes among 250 participants from five South Eastern universities. Several key factors contributing to financial stress were examined such as students’ monthly income, medical bills cost, ability to save, academic materials cost, student borrowing levels, and cost of feeding. The findings (...)
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  49.  15
    The Effects of EFL Classroom Environment, Collaborative Learning, Students’Motivation in Learning, EFL Teachers’ Support on Student's performance: An Empirical Literature Review.Minfang Lou, Ali Sorayyaei Azar & Ooi Boon Keat - 2024 - International Theory and Practice in Humanities and Social Sciences 1 (1):270-289.
    EFL Classroom Environment, Collaborative Learning, Teacher Support combined with students’ motivation form the basis of students’ performance. However, China has also conducted several studies on language learners' classroom performance in the past few decades, but most of these studies are limited to universities or colleges,There are relatively few studies on Secondary school students, let alone further exploring the specific application of classroom performance in practical teaching,which needs to motivate teachers to provide more empirical support for foreign language (...)
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  50.  94
    Do Online Exams Facilitate Cheating? An Experiment Designed to Separate Possible Cheating from the Effect of the Online Test Taking Environment.Alan Fask, Fred Englander & Zhaobo Wang - 2014 - Journal of Academic Ethics 12 (2):101-112.
    Despite recent growth in distance education, there has been relatively little research on whether online examinations facilitate student cheating. The present paper utilizes an experimental design to assess the difference in student performance between students taking a traditional, proctored exam and those taking an online, unproctored exam. This difference in performance is examined in a manner which considers both the effect of the different physical test environments and the possible effect of a difference in the opportunity (...)
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