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Tahereh Firoozi; Okan Bulut; Mark J. Gierl – International Journal of Assessment Tools in Education, 2023
The proliferation of large language models represents a paradigm shift in the landscape of automated essay scoring (AES) systems, fundamentally elevating their accuracy and efficacy. This study presents an extensive examination of large language models, with a particular emphasis on the transformative influence of transformer-based models, such as…
Descriptors: Turkish, Writing Evaluation, Essays, Accuracy
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Thoma, Athina; Iannone, Paola – International Journal of Research in Undergraduate Mathematics Education, 2022
This exploratory study reports on characteristics of proof production and proof writing observed in the work of first-year university students who took part in workshops on the theorem prover LEAN (https://leanprover.github.io). These workshops were voluntary and offered alongside a transition to proof module in a UK university. Through…
Descriptors: Validity, Mathematical Logic, Mathematics Instruction, Undergraduate Students
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Garg, Rakesh; Kumar, Ramesh; Garg, Sandhya – IEEE Transactions on Education, 2019
Contribution: The main contribution is to provide practitioners and researchers with an insight in efficiently and effectively employing multi-attribute decision making (MADM) methods in e-learning website selection problems. Background: Advances in information systems and the Internet have resulted in e-learning websites becoming an important…
Descriptors: Electronic Learning, Web Sites, Decision Making, Correlation
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Tep, Puthyrom; Chuathong, Saranya; Sombunsukho, Suwanna – International Journal of Psychology and Educational Studies, 2022
In higher education, a limited number of studies have been conducted on the relationship between lifestyle and creativity and dating back to more than 50 years ago. This study investigates the up-to-date results of the relationship between university students' lifestyles and their creative ideation. The data was collected two times in order to…
Descriptors: Life Style, Creativity, Undergraduate Students, Correlation
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Cárdenas-Cobo, Jesennia; Puris, Amilkar; Novoa-Hernández, Pavel; Galindo, José Angel; Benavides, David – IEEE Transactions on Learning Technologies, 2020
Learning computer programming is a challenging process. Among the current approaches for overcoming this challenge, visual programming languages (VPLs), such as Scratch, have shown very promising results for beginners. Interestingly, some higher education institutions have started to use VPLs to introduce basic programming concepts, mainly in CS1…
Descriptors: Computer Science Education, Programming, Programming Languages, Teaching Methods
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Jegede, Philip Olu; Olajubu, Emmanuel Ajayi; Ejidokun, Adekunle Olugbenga; Elesemoyo, Isaac Oluwafemi – Journal of Information Technology Education: Innovations in Practice, 2019
Aim/Purpose: The study examined types of errors made by novice programmers in different Java concepts with students of different ability levels in programming as well as the perceived causes of such errors. Background: To improve code writing and debugging skills, efforts have been made to taxonomize programming errors and their causes. However,…
Descriptors: Programming Languages, Programming, Low Achievement, High Achievement
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Ilic, Ulas – International Journal of Research in Education and Science, 2021
The present study aimed to determine the effect of Scratch-assisted expressions and applications on the Computational Thinking skills of pre-service teachers. For this purpose, the research was designed with an exploratory sequential design, a mixed research method. Thirty-three pre-service teachers participated in the study. Data were collected…
Descriptors: Programming Languages, Computer Science, Thinking Skills, Creative Thinking
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Türker, Pinar Mihci; Pala, Ferhat Kadir – Journal on School Educational Technology, 2020
The aim of this study is to investigate the computational thinking skills of secondary school students and their perceived self-efficacy related to block-based programming. The study group consists of 464 students attending 5, 6, 7, and 8 grades in a province located in the Central Anatolia region, Turkey. Data were collected by Computational…
Descriptors: Thinking Skills, Self Efficacy, Programming Languages, Secondary School Students
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Srour, F. Jordan; Karkoulian, Silva – International Journal of Social Research Methodology, 2022
The literature provides multiple measures of diversity along a single demographic dimension, but when it comes to studying the interaction of multiple diversity types (e.g. age, gender, and race), the field of useable measures diminishes. We present the use of decision trees as a machine learning technique to automatically identify the…
Descriptors: Diversity, Decision Making, Artificial Intelligence, Correlation
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Calvo, Miquel; Carnicer, Artur; Cuadros, Jordi; Martori, Francesc; Miñarro, Antonio; Serrano, Vanessa – EURASIA Journal of Mathematics, Science and Technology Education, 2019
Open-ended tasks are common in Science, Technology, Engineering and Mathematics (STEM) education. However, as far as we know, no tools have been developed to assist in the assessment of the solution process of open-ended questions. In this paper, we propose the use of analysis of traces as a tool to address this need. To illustrate this approach,…
Descriptors: Computer Assisted Testing, STEM Education, Programming Languages, Undergraduate Students
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Chang, Chih-Kai; Yang, Ya-Fei; Tsai, Yu-Tzu – Education for Information, 2017
Previous research indicates that understanding the state of learning motivation enables researchers to deeply understand students' learning processes. Studies have shown that visual programming languages use graphical code, enabling learners to learn effectively, improve learning effectiveness, increase learning fun, and offering various other…
Descriptors: Programming Languages, Student Motivation, Questionnaires, Correlation
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Shi, Nianfeng; Cui, Wen; Zhang, Ping; Sun, Ximing – Journal of Educational Computing Research, 2018
This research applies the roles of variables to the novice programmers in the C language programming. The results are evaluated using the Structure of Observed Learning Outcomes (SOLO) taxonomy. The participants were divided into an experimental group and a control group. The students from the control group learned programming in the traditional…
Descriptors: Computer Science Education, Programming, Programming Languages, Novices
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Qian, Yizhou; Lehman, James D. – Journal of Education and Learning, 2016
The demand for computing professionals in the workplace has led to increased attention to computer science education, and introductory computer science courses have been introduced at different levels of education. This study investigated the relationship between gender, academic performance in non-programming subjects, and programming learning…
Descriptors: Correlation, Introductory Courses, Success, Middle School Students
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Lin, Guan-Yu – Journal of Educational Computing Research, 2016
This study has two central purposes: First, it examines not only the roles of gender and persistence in undergraduate computing majors' learning self-efficacy, computer self-efficacy, and programming self-efficacy but also Bandura's hypothesized sources of self-efficacy; second, it examines the influence of sources of efficacy on the three…
Descriptors: Sex Role, Persistence, Self Efficacy, Beliefs
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Ragonis, Noa; Shilo, Gila – Journal of Information Technology Education: Research, 2018
Aim/Purpose: Research shows that students encounter difficulties in identifying the structure of argumentation texts and in understanding the main message of the argument. The research examined the effect that learning Logic Programming (LP), while applying logic inference, has on students' understanding of argumentation texts. Background:…
Descriptors: Persuasive Discourse, Computer Science, Inferences, Student Attitudes
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