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Hoseana, Jonathan; Stepanus, Oriza; Octora, Elvina – International Journal of Mathematical Education in Science and Technology, 2023
As educational systems move from onsite to online due to the COVID-19 pandemic, teachers face the difficulty of designing online examination formats which minimize opportunities for dishonesty. In this paper, we expose our design of such a format: a protected Microsoft Excel spreadsheet containing short-answer questions, which was implemented in a…
Descriptors: Plagiarism, Calculus, Algebra, Computer Software
Lukumon, Gafari; Maharaj, Aneshkumar – African Journal of Research in Mathematics, Science and Technology Education, 2022
The purpose of this study, conducted with 44 participants, was to explore their experiences of learning linear algebra using the online content and materials during COVID-19. The conceptual framework was guided by the notion of social presence and connectivisim in the context of remote learning. The study used a questionnaire comprising closed and…
Descriptors: Student Experience, Mathematics Instruction, Algebra, Online Courses
Lowe, T. W.; Mestel, B. D. – Teaching Mathematics and Its Applications, 2020
The development of six online quizzes to support students' study of an introductory mathematics masters module at The Open University is described and their use evaluated. The quizzes were implemented using the "STACK" online e-assessment system, which is powered by a computer-algebra engine. Evaluation of student feedback and an initial…
Descriptors: Case Studies, Computer Assisted Testing, Mathematics Tests, Introductory Courses
Matayoshi, Jeffrey; Uzun, Hasan; Cosyn, Eric – International Educational Data Mining Society, 2022
Knowledge space theory (KST) is a mathematical framework for modeling and assessing student knowledge. While KST has successfully served as the foundation of several learning systems, recent advancements in machine learning provide an opportunity to improve on purely KST-based approaches to assessing student knowledge. As such, in this work we…
Descriptors: Knowledge Level, Mathematical Models, Learning Experience, Comparative Analysis
Hedlefs-Aguilar, Maria Isolde; Morales-Martinez, Guadalupe Elizabeth; Villarreal-Lozano, Ricardo Jesus; Moreno-Rodriguez, Claudia; Gonzalez-Rodriguez, Erick Alejandro – European Journal of Educational Research, 2021
This study explored the cognitive mechanism behind information integration in the test anxiety judgments in 140 engineering students. An experiment was designed to test four factors combined (test goal orientation, test cognitive functioning level, test difficulty and test mode). The experimental task required participants to read 36 scenarios,…
Descriptors: Test Anxiety, Engineering Education, Algebra, College Students
Herbert, Katherine; Demskoi, Dmitry; Cullis, Kerrie – Australasian Journal of Educational Technology, 2019
Formative assessment benefits both students and teaching academics. In particular, formative assessment in mathematics subjects enables both students and teaching academics to assess individual performance and understanding through students' responses. Over the last decade, educational technologies and learning management systems (LMSs) are used…
Descriptors: Mathematics Instruction, Formative Evaluation, Evaluation Methods, Educational Technology
Küchemann, Stefan; Malone, Sarah; Edelsbrunner, Peter; Lichtenberger, Andreas; Stern, Elsbeth; Schumacher, Ralph; Brünken, Roland; Vaterlaus, Andreas; Kuhn, Jochen – Physical Review Physics Education Research, 2021
Representational competence is essential for the acquisition of conceptual understanding in physics. It enables the interpretation of diagrams, graphs, and mathematical equations, and relating these to one another as well as to observations and experimental outcomes. In this study, we present the initial validation of a newly developed…
Descriptors: Physics, Science Instruction, Teaching Methods, Concept Formation
Sangwin, Christopher J.; Jones, Ian – Educational Studies in Mathematics, 2017
In this paper we report the results of an experiment designed to test the hypothesis that when faced with a question involving the inverse direction of a reversible mathematical process, students solve a multiple-choice version by verifying the answers presented to them by the direct method, not by undertaking the actual inverse calculation.…
Descriptors: Mathematics Achievement, Mathematics Tests, Multiple Choice Tests, Computer Assisted Testing
Barchilon Ben-Av, Mercedes; Ben-Av, Radel – Journal of Educational Technology Systems, 2016
Recently, there is an explosive growth of smartphone availability. In this work, we studied how mobile and Internet-based Student Response System improves the learning process. We used a free software application (Socrative©) to create a set of questions that can be deployed during the class. It was used in four different courses in three…
Descriptors: Telecommunications, Handheld Devices, Computer Software, Learning Processes
Peters, Joshua A. – ProQuest LLC, 2016
There is a lack of knowledge in whether there is a difference in results for students on paper and pencil high stakes assessments and computer-based high stakes assessments when considering race and/or free and reduced lunch status. The purpose of this study was to add new knowledge to this field of study by determining whether there is a…
Descriptors: Comparative Analysis, Computer Assisted Testing, Lunch Programs, High Stakes Tests
Hauk, Shandy; Matlen, Bryan – Grantee Submission, 2016
A variety of computerized interactive learning platforms exist. Most include instructional supports in the form of problem sets. Feedback to users ranges from a single word like "Correct!" to offers of hints and partially to fully worked examples. Behind-the-scenes design of such systems varies as well --from static dictionaries of…
Descriptors: Community Colleges, College Mathematics, Algebra, Web Based Instruction
George, Michael; Khazanov, Leonid; McCarthy, Chris – Community College Journal of Research and Practice, 2015
Remedial mathematics at the college level has evidenced strikingly low retention and passing rates. It has been shown that at least 25% of the variation in student performance is explained by students' affective variables such as attitudes, study skills, and mathematics anxiety. This study endeavored to address affective variables by: (a)…
Descriptors: Peer Teaching, Coaching (Performance), At Risk Students, Remedial Mathematics
Burrow, Susan C. – ProQuest LLC, 2013
The purpose of this quantitative study was to determine if a relationship existed between success in elementary algebra and a set of predictor variables including COMPASS score and high school GPA. Relationships for intermediate algebra and college credit accumulation over three semesters were also examined with COMPASS score and high school GPA…
Descriptors: Statistical Analysis, Standardized Tests, Correlation, Algebra
Cunningham, Alice W.; Dias, Olen; Angulo, Nieves – Journal of Mathematics Education at Teachers College, 2011
This article analyzes the findings from an 18-section experiment studying the effect of homework-completion tutoring on community college students' remedial mathematics performance. The experiment involved 529 students registered for two remedial math courses: math skills and algebra. For each course, the experiment studied nine sections: three…
Descriptors: Community Colleges, Homework, Computer Uses in Education, Tutoring
Retnowati, Endah, Ed.; Suprapto, Ed.; Jerusalem, Mohammad Adam, Ed.; Sugiyarto, Kristian, Ed.; Wagiran, Ed. – Routledge, Taylor & Francis Group, 2018
This proceedings volume of InCoTEPD 2018 covers many ideas for handling a wide variety of challenging issues in the field of education. The outstanding ideas dealing with these issues result in innovation of the system. There are many innovation strategies resulting from recent research that are discussed in this book. These strategies will become…
Descriptors: Educational Innovation, Knowledge Level, Skill Development, Vocational Education
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