CONTINUOUS ASSESMENT AS A MEDIATING VARIABLE BETWEEN CLASS ATTENDANCE AND STUDENTS’ PERFORMANCE

2019 ◽  
Vol 7 (SI-TeMIC18) ◽  
Author(s):  
Nur Hidayah Md Noh ◽  
Nor Aini Hassanuddin ◽  
Sarah Yusoff Yusoff ◽  
Nursyazni Mohamad Sukri
Keyword(s):  
Computer Science ◽  
Student Performance ◽  
Mediating Effect ◽  
Final Examination ◽  
Continuous Assessment ◽  
Important Indicator ◽  
Class Attendance ◽  
Statistics Course ◽  
And Mathematics ◽  
Final Examination Performance

In higher education, besides final examination, students’ performance will also be measured throughout 14 weeks of lecture that contains tests, projects, quizzes and assignments as their continuous assessment. In UiTM, the continuous assessment for statistical subject is in range of 40% to 60% that contributes to their performance. This percentage is considered high and students cannot neglect this factor if they want to get good grades. With this belief, the effect of continuous assessment as mediating variable to determine relationship between final examination performance and students’ classroom participation throughout one semester in UiTM Kuala Terengganu among Diploma of Computer Science (CS110) students and Bachelor of Business Computing (CS244) students from Faculty of Computer Science and Mathematics who undertook a statistics course will be studied. Positive correlation was reported indicating that there exists positive relationship between classroom attendance and final examination grades. Students then were grouped into two groups according to the ‘80% rule’. Furthermore, Sobel Test indicates that there exists mediating effect of continuous assessment between class attendance and final mark. As a conclusion, participation and understanding the lecture in a statistics class is an important indicator that contributes to their performance. Keywords: Student performance, Learning statistics, Continuous assessment, Correlation, Mediating variable

Cumulative learning and sustained engagement in an introduction to accounting course

2018 ◽  
Vol 26 (1) ◽  
pp. 19-38 ◽  
Author(s):  
Husam Aldamen ◽  
Keith Duncan ◽  
Jennifer L. Ziegelmayer
Keyword(s):  
Student Performance ◽  
Final Examination ◽  
Cumulative Impact ◽  
Content Type ◽  
Examination Performance ◽  
And Performance ◽  
Cumulative Knowledge ◽  
Final Examination Performance ◽  
Performance Gains ◽  
The Relationship

Purpose Due to its technical focus, the introductory accounting course has a hierarchical knowledge structure that requires students to master and integrate abstract knowledge which builds on itself over time. The purpose of this paper is to explore the relationship between engagement and examination performance for students enrolled in a hierarchically structured course. Design/methodology/approach This research involves a retrospective study of an introduction to accounting course examining the relationship between increased engagement and examination performance. Students are provided opportunities for engagement through assigned homework and optional ungraded assignments. Performance is measured by scores on each of three examinations conducted throughout the semester. Findings The study finds that additional engagement in assignments has no significant impact on mid-semester examination performance; however, sustained engagement throughout the semester has a cumulative impact on final examination performance. Moreover, students that perform well on mid-semester examinations do not benefit from additional engagement, whereas students that perform poorly on the mid-semester examinations exhibit substantially higher final examination scores from sustained engagement. Practical implications This study illustrates the complex interplay between engagement and performance and the timing of performance gains. The implication for educators is that increased sustained engagement is likely to result in increased but delayed student performance gains in disciplines with hierarchical knowledge structures. Originality/value This study contributes to the literature in its examination of the timing of performance benefits gained from increased engagement in courses with a cumulative knowledge base.

Effects of Massed versus Distributed Practice of Test Taking on Achievement and Test Anxiety

1994 ◽  
Vol 74 (3) ◽  
pp. 915-919 ◽  
Author(s):  
John W. Zimmer ◽  
Dennis J. Hocevar
Keyword(s):  
Test Anxiety ◽  
Distributed Practice ◽  
Final Examination ◽  
Test Taking ◽  
Distributed Testing ◽  
Quasi Experimental ◽  
Initial Sessions ◽  
Final Examination Performance ◽  
Testing Condition ◽  
And Control

The effects of massed versus distributed practice on achievement and test anxiety were investigated using a quasi-experimental design employing 56 college students under two conditions. Test anxiety was assessed using Sarason's four-dimensional Reactions to Tests, while classroom achievement was measured on tests using multiple-choice applications. Experimental subjects were given four Reactions to Tests items and 10-item examinations on a weekly basis for 10 weeks, while control subjects had only a 100-item final examination. Analysis indicated (1) significantly higher final examination performance for the distributed testing condition; (2) a significant reduction in test anxiety between initial sessions and the remainder of the term in the distributed testing condition; (3) no difference in test anxiety between the distributed testing and control conditions when test anxiety was assessed at the end of the term; and (4) nonsignificant correlations between test anxiety dimensions of the Reactions to Tests and achievement in both the control and distributed testing conditions. Results support the contention that relationships between achievement and test anxiety may be more complex than previously thought.

scholarly journals The Mediating Effect of Creativity on the Relationship Between Mathematic Achievement and Programming Self-Efficacy

2022 ◽  
Vol 12 ◽  
Author(s):  
Jun Liu ◽  
Meng Sun ◽  
Yue Dong ◽  
Fei Xu ◽  
Xue Sun ◽  
...  
Keyword(s):  
Self Efficacy ◽  
Mathematics Learning ◽  
Positive Influence ◽  
Mediating Effect ◽  
School Students ◽  
Programming Education ◽  
And Mathematics ◽  
Math Test ◽  
Math Test Scores ◽  
The Relationship

Purpose: This study aimed to explore the relationship between mathematic achievement and programming self-efficacy, and adopt a mediation model to verify the mediating role of creativity on the relationship between mathematic achievement and programming self-efficacy.Methods: A total of 950 upper-secondary school students were surveyed using their math test scores, the Kirton Adaption-Innovation and the Programmed Self-Efficacy Scale. SPSS-26 was used for descriptive statistical analysis and correlation analysis of related variables. The PROCESS plugin was used to test the mediating effect of creativity.Results: (1) Mathematic achievement has a positive effect on programming self-efficacy, mathematic achievement is positively related to creativity, and creativity also has a positive influence on programming self-efficacy. (2) Creativity has a mediating effect on the relationship between mathematic achievement and programming self-efficacy.Conclusion: The results revealed that mathematic achievement affected programming self-efficacy directly and also indirectly through creativity. This provided certain ideas for the development of programming education for teenagers. Since students’ mathematics learning and creativity are related to programming learning, it is necessary to pay attention to the integration of the disciplines of programming education and mathematics. Further, the cultivation of innovative thinking is also critical to facilitate programming learning.

scholarly journals Polynomials and General Degree-Based Topological Indices of Generalized Sierpinski Networks

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Chengmei Fan ◽  
M. Mobeen Munir ◽  
Zafar Hussain ◽  
Muhammad Athar ◽  
Jia-Bao Liu
Keyword(s):  
Complex Systems ◽  
Computer Science ◽  
Topological Indices ◽  
Fractal Nature ◽  
Similar Nature ◽  
Zagreb Index ◽  
Recursive Sequences ◽  
And Mathematics

Sierpinski networks are networks of fractal nature having several applications in computer science, music, chemistry, and mathematics. These networks are commonly used in chaos, fractals, recursive sequences, and complex systems. In this article, we compute various connectivity polynomials such as M -polynomial, Zagreb polynomials, and forgotten polynomial of generalized Sierpinski networks S k n and recover some well-known degree-based topological indices from these. We also compute the most general Zagreb index known as α , β -Zagreb index and several other general indices of similar nature for this network. Our results are the natural generalizations of already available results for particular classes of such type of networks.

scholarly journals Adaptation of the Core CDIO Standards 3.0 to STEM Higher Education

2021 ◽  
Vol 30 (2) ◽  
pp. 9-21
Author(s):  
A. I. Chuchalin
Keyword(s):  
Applied Sciences ◽  
Higher Education ◽  
Engineering Education ◽  
Computer Science ◽  
High Tech ◽  
The Core ◽  
Science Technology ◽  
Postgraduate Studies ◽  
Systematic Training ◽  
And Mathematics

It is proposed to adapt the new version of the internationally recognized standards for engineering education the Core CDIO Standards 3.0 to the programs of basic higher education in the field of technology, natural and applied sciences, as well as mathematics and computer science in the context of the evolution of STEM. The adaptation of the CDIO standards to STEM higher education creates incentives and contributes to the systematic training of specialists of different professions for coordinated teamwork in the development of high-tech products, as well as in the provision of comprehensive STEM services. Optional CDIO Standards are analyzed, which can be used selectively in STEM higher education. Adaptation of the CDIO-FCDI-FFCD triad to undergraduate, graduate and postgraduate studies in the field of science, technology, engineering and mathematics is considered as a mean for improving the system of three-cycle STEM higher education.

Formative External Evaluation and Data Analysis Report Year Three: Building Opportunities for STEM Success

2020 ◽  
Author(s):  
Angelicque Tucker Blackmon ◽  
Keyword(s):  
Data Analysis ◽  
Computer Science ◽  
Self Efficacy ◽  
Study Skills ◽  
Mathematics Students ◽  
External Evaluation ◽  
College Chemistry ◽  
Before And After ◽  
And Mathematics

This report is an analysis of college chemistry, biology, computer science, and mathematics students' perceptions of STEM self-efficacy and study skills before and after an intervention.

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