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Gülay Öztüre Yavuz; Gökhan Akçapinar; Hatice Çirali Sarica; Yasemin Koçak Usluel – Education and Information Technologies, 2024
This study aims to develop a predictive model for predicting gifted students' engagement levels and to investigate the features that are important in such predictions. Features reflecting students' emotions, social-emotional learning skills, learning approaches and video-watching behaviours were used in the prediction models. The study group…
Descriptors: Secondary School Students, Academically Gifted, Gifted Education, Learner Engagement
Anna Donhauser; Philipp Bitzenbauer; Linda Qerimi; Stefan Heusler; Stefan Küchemann; Jochen Kuhn; Malte S. Ubben – Physical Review Physics Education Research, 2024
The present review intends to show the current state of teaching quantum-related content, to analyze and compare its learning efficiency, and to give a systemized overview of quantum-educational activities in the last years. We focus on teaching and learning elements, their innovative tools, and process-oriented studies that are empirically…
Descriptors: Physics, Science Instruction, Quantum Mechanics, Comparative Analysis
Xu, Jia; Wei, Tingting; Lv, Pin – International Educational Data Mining Society, 2022
In an Intelligent Tutoring System (ITS), problem (or question) difficulty is one of the most critical parameters, directly impacting problem design, test paper organization, result analysis, and even the fairness guarantee. However, it is very difficult to evaluate the problem difficulty by organized pre-tests or by expertise, because these…
Descriptors: Prediction, Programming, Natural Language Processing, Databases
Nur Fajriah Muchlis; Punaji Setyosari; Dedi Kuswandi; Saida Ulfa; Henry Praherdhiono – International Society for Technology, Education, and Science, 2023
In recent years, the Computer Science and Information Technology programs have experienced growth and achieved immense popularity, increasing the demand for graduates who will become skilled workers. The educational outcomes-based curriculum (OBE) targets that learning must pay attention to one of the Key Performance Indicators (IKU) achievements:…
Descriptors: College Students, Design, Innovation, Thinking Skills
Monica Maiti; M. Priyaadharshini – Cogent Education, 2024
The integration of digital instructional methods has significantly enhanced the academic system. This study explores the viewpoints of educators and students on the application of digital resources and online platforms in the aftermath of the global health crisis. The research involved 135 university students enrolled in a cloud computing course…
Descriptors: Technology Integration, Technology Uses in Education, Information Technology, Higher Education
Poon, Pak-Lok – Journal of Information Systems Education, 2023
Teaching the concepts of expert systems to accounting students is often challenging, not only because these students are not equipped with the necessary technical knowledge to comprehend the concepts taught, but also due to the other various constraints (e.g., limited teaching hours and a diverse background of the students' undergraduate…
Descriptors: Graduate Students, Accounting, Teaching Methods, Learning Processes
Wanxue Zhang; Lingling Meng; Bilan Liang – Interactive Learning Environments, 2023
With the continuous development of education, personalized learning has attracted great attention. How to evaluate students' learning effects has become increasingly important. In information technology courses, the traditional academic evaluation focuses on the student's learning outcomes, such as "scores" or "right/wrong,"…
Descriptors: Information Technology, Computer Science Education, High School Students, Scoring
Rücker, Michael T.; van Joolingen, Wouter R.; Pinkwart, Niels – ACM Transactions on Computing Education, 2020
Enabling students to recognize and evaluate the ubiquitous impact of computing technology on society is an internationally proclaimed goal of a K-12 computing education. To that end, students need to actually engage with their computing knowledge in concrete everyday situations. From the perspectives of learning transfer and variation theory, we…
Descriptors: Secondary School Students, Student Attitudes, Computers, Information Technology
Tlili, Ahmed; Denden, Mouna; Essalmi, Fathi; Jemni, Mohamed; Chang, Maiga; Kinshuk; Chen, Nian-Shing – Interactive Learning Environments, 2023
The ability of automatically modeling learners' personalities is an important step in building adaptive learning environments. Several studies showed that knowing the personality of each learner can make the learning interaction with the provided learning contents and activities within learning systems more effective. However, the traditional…
Descriptors: Learning Analytics, Learning Management Systems, Intelligent Tutoring Systems, Bayesian Statistics
Molina, Ana I.; Arroyo, Yoel; Lacave, Carmen; Redondo, Miguel A. – British Journal of Educational Technology, 2018
The incorporation of advanced information and communication technologies into the field of education has made the design and deployment of courses and instructional units more and more complicated. In order to support such complex task, methods and techniques have been proposed in the last years for the standardization, formalization and modelling…
Descriptors: Programming Languages, Models, Cooperative Learning, Learning Processes
Crawford, Chris S.; Gilbert, Juan E. – ACM Transactions on Computing Education, 2019
Brain-Computer Interface (BCI) hardware is becoming more affordable and accessible. However, there is limited work investigating ways to design software that broadens participation with BCI technology. In this article, we present a block-based programming environment designed to assist novice programmers with creating BCI applications. We also…
Descriptors: Barriers, Computer Software, Programming, Information Technology
Reis, Rosa; Marques, Bertil P. – International Association for Development of the Information Society, 2021
In this paper we present a model for designing professional courses in a blended learning context as a tool to help the interaction between students, teachers and learning resources. This model aims to promote new concepts, new approaches and new strategies that have been changing the paradigm of teaching and learning. To develop a course based on…
Descriptors: Programming, Instructional Design, Computer Science Education, Case Studies
Olipas, Cris Norman P. – Online Submission, 2022
This study aimed to evaluate the instructional learning modules used for Application Development and Emerging Technologies course. Specifically, it evaluates the content, teaching and learning, support and feedback, and assessment variables through student perspectives. It also seeks to understand the views of the students on what they like the…
Descriptors: Student Attitudes, Information Technology, Feedback (Response), Teaching Methods
Saito, Tomohiro; Watanobe, Yutaka – International Journal of Distance Education Technologies, 2020
Programming education has recently received increased attention due to growing demand for programming and information technology skills. However, a lack of teaching materials and human resources presents a major challenge to meeting this demand. One way to compensate for a shortage of trained teachers is to use machine learning techniques to…
Descriptors: Programming, Computer Science Education, Electronic Learning, Instructional Materials
Magana, Alejandra J.; Seah, Ying Ying; Thomas, Paul – Journal of Information Systems Education, 2018
Agile methods such as Scrum that emphasize technical, communication, and teamwork skills have been practiced by IT professionals to effectively deliver software products of good quality. The same methods combined with pedagogies of engagement can potentially be used in the setting of higher education to promote effective group learning in software…
Descriptors: Cooperative Learning, Class Activities, Design, Teaching Methods
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