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James A. Parejko – Journal of Microbiology & Biology Education, 2024
The current and ongoing challenges brought on by climate change will require future scientists who have hands-on experience using advanced molecular techniques, can work with large data sets, and can make correlations between metadata and microbial diversity. A course-embedded research project can prepare students to answer complex research…
Descriptors: Plants (Botany), Microbiology, Science Instruction, Teaching Methods
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Fehaid Lafi Alshammari – Journal of Education and e-Learning Research, 2024
Microlearning is a modern learning modality that has been adopted in recent years for student education. This study aimed to reveal the effect of video-based microlearning on the development of programming skills and technology acceptance among intermediate school students. The study used a quasi-experimental design for two groups. A technology…
Descriptors: Foreign Countries, Middle School Students, Programming, Computer Science Education
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Jaroslaw Pawel Adamiak – Open Praxis, 2024
The academic success of first-year students' learning in science faculties is by no means assured, especially in an Open Distance Learning setting with its limited number of face-to-face encounters between students and lecturers or tutors. Therefore, such encounters should be highly efficient in view of the considerable amount of knowledge…
Descriptors: Fundamental Concepts, Teaching Methods, Computer Science Education, Open Education
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Hao-Yue Jin; Maria Cutumisu – Education and Information Technologies, 2024
Computational thinking (CT) is considered to be a critical problem-solving toolkit in the development of every student in the digital twenty-first century. Thus, it is believed that the integration of deeper learning in CT education is an approach to help students transfer their CT skills beyond the classroom. Few literature reviews have mapped…
Descriptors: Computation, Thinking Skills, Problem Solving, Artificial Intelligence
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Siu-Cheung Kong; Wei Shen – Interactive Learning Environments, 2024
Logistic regression models have traditionally been used to identify the factors contributing to students' conceptual understanding. With the advancement of the machine learning-based research approach, there are reports that some machine learning algorithms outperform logistic regression models in terms of prediction. In this study, we collected…
Descriptors: Student Characteristics, Predictor Variables, Comprehension, Computation
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Sa Li; Jingjing Dong – International Journal of Web-Based Learning and Teaching Technologies, 2024
In order to deeply analyze and evaluate the changes in the comprehensive quality of college students' sports dance, the overall idea of systematically evaluating the changes in the comprehensive quality of college students' sports dance was established. Firstly, this article uses the triangular fuzzy number method to measure the evaluation…
Descriptors: Dance Education, Teaching Methods, Evaluation Methods, Programming Languages
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Jan Olsson; Carina Granberg – Mathematical Thinking and Learning: An International Journal, 2024
Studies have shown that learning mathematics through programming can be complex and that the programming itself might even hamper students' learning. However, few studies have focused on the role of the teacher and the teacher-student interaction that aims to support students' learning when using programming. The present study examines a didactic…
Descriptors: Teacher Student Relationship, Communication (Thought Transfer), Creativity, Thinking Skills
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Dorottya Demszky; Jing Liu; Heather C. Hill; Dan Jurafsky; Chris Piech – Educational Evaluation and Policy Analysis, 2024
Providing consistent, individualized feedback to teachers is essential for improving instruction but can be prohibitively resource-intensive in most educational contexts. We develop M-Powering Teachers, an automated tool based on natural language processing to give teachers feedback on their uptake of student contributions, a high-leverage…
Descriptors: Online Courses, Automation, Feedback (Response), Large Group Instruction
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Zi Xiang Poh; Ean Teng Khor – International Journal on E-Learning, 2024
Machine learning and data mining techniques have been widely used in educational settings to identify the important features that tend to influence students' learning performance and predict their future performance. However, there is little to no research done in the context of Singapore's education. Hence, this study aims to fill the gap by…
Descriptors: Learning Analytics, Goodness of Fit, Academic Achievement, Online Courses
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Bakki, Aicha; Oubahssi, Lahcen; George, Sébastien; Cherkaoui, Chihab – Education and Information Technologies, 2019
This paper presents an authoring tool in the cMOOC context called MOOCAT (MOOC Authoring Tool). It is a visual authoring tool that helps teachers to design cMOOC-oriented pedagogical scenarios. MOOCAT has two main innovative features. The first is that it offers a tool for conceiving pedagogical scenarios in a simple way through graphical…
Descriptors: Online Courses, Design, Integrated Learning Systems, Models
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Luce, Thom – Information Systems Education Journal, 2020
This paper reviews the evolution of a senior level, live-client project development capstone class in the Analytics and Information Systems department of an AACSB accredited College of Business. The paper traces changes in methodologies and technologies leading to the current Scrum based approach, using ASP.NET Model-View-Controller, MVC, as the…
Descriptors: Capstone Experiences, College Seniors, Information Systems, Computer Software
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Zhu, Hongwei; Shen, Yuzhong – IEEE Transactions on Education, 2021
Contribution: An approach of integrating financial literacy into an introductory programming course is introduced. New learning materials are developed and the impact of the approach on motivating students and improving learning outcomes are evaluated using mixed methods. Background: More than two-thirds of college students in the U.S. graduate…
Descriptors: Money Management, Computer Science Education, Programming, Introductory Courses
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Saqr, Mohammed; Ng, Kwok; Oyelere, Solomon Sunday; Tedre, Matti – ACM Transactions on Computing Education, 2021
The momentum around computational thinking (CT) has kindled a rising wave of research initiatives and scholarly contributions seeking to capitalize on the opportunities that CT could bring. A number of literature reviews have showed a vibrant community of practitioners and a growing number of publications. However, the history and evolution of the…
Descriptors: Computation, Thinking Skills, Bibliometrics, Educational Research
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Saito, Daisuke; Yajima, Risei; Washizaki, Hironori; Fukazawa, Yoshiaki – Education Sciences, 2021
In evaluating the learning achievement of programming-thinking skills, the method of using a rubric that describes evaluation items and evaluation stages is widely employed. However, few studies have evaluated the reliability, validity, and consistency of the rubrics themselves. In this study, we introduced a statistical method for evaluating the…
Descriptors: Scoring Rubrics, Computer Science Education, Programming, Reliability
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Taspolat, Ata; Özdamli, Fezile; Soykan, Emrah – SAGE Open, 2021
The flipped classroom method, which could be considered as one of the crucial new generation teaching approaches, is a permutation of the educational activities that are carried out inside and outside of the classroom environment. The main purpose of the present study is to determine the impact of the flipped classroom approach on students'…
Descriptors: Programming Languages, Computer Science Education, Flipped Classroom, Instructional Effectiveness
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