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Monika Mladenovic; Lucija Medak; Divna Krpan – ACM Transactions on Computing Education, 2025
Computer Science (CS) Unplugged activities are designed to engage students with CS concepts. It is an active learning approach combining physical interaction with visual representation. This research article investigates the impact of CS Unplugged on students' understanding of the bubble sort algorithm. Algorithm visualization, traditionally…
Descriptors: Computer Science Education, Learning Activities, Active Learning, Algorithms
Mingqing Wang; Kui Xie – International Journal of Web-Based Learning and Teaching Technologies, 2024
At present, the construction of online courses is an important content in the process of educational informatization. At present, there are two problems in the construction of online courses: from the teaching point of view, the design of teaching activities and teaching processes in online courses is not enough, and the teaching effect is not…
Descriptors: English Instruction, Online Courses, English Curriculum, Curriculum Development
Riordan Alfredo; Vanessa Echeverria; Linxuan Zhao; LuEttaMae Lawrence; Jie Xiang Fan; Lixiang Yan; Xinyu Li; Zachari Swiecki; Dragan Gaševic; Roberto Martinez-Maldonado – Journal of Learning Analytics, 2024
Despite growing interest in applying human-centred design methods to create learning analytics (LA) systems, most efforts have concentrated on initial design phases, with limited exploration of how LA tools and practices can coevolve during the actual learning and teaching activities. This paper examines how a human-centred LA dashboard can be…
Descriptors: Learning Analytics, Learning Management Systems, Artificial Intelligence, Computer Software
Scott H. Moss – ProQuest LLC, 2023
This case study focuses on the implementation and analysis of critical algorithmic literacy (CAL) lessons in two grade 3/4 combination classes. The study involves one elementary school teacher and 36 students from a K-6 school in Southern California. By analyzing various data sources, I identified trends that could be helpful for future…
Descriptors: Algorithms, Elementary School Students, Computer Science Education, Critical Literacy
Nan Wu – International Journal of Web-Based Learning and Teaching Technologies, 2024
Higher education is becoming increasingly competitive and all educational institutions are concentrating on improving quality and changing traditional higher education teaching methods. New-type classroom instruction has embraced a unique advancement opportunity with the arrival of the fifth generation (5G) era. It is critical to develop a…
Descriptors: Instructional Effectiveness, Internet, Computer Literacy, Artificial Intelligence
Emmett O’Leary – Action, Criticism, and Theory for Music Education, 2025
Artificial intelligence (AI) presents a unique technological quandary for music educators. Never before has a new tool been lauded and feared to the degree that AI is presently. As AI is an emerging influence in music teaching and learning, in this paper, I examine the past to inform critical action moving forward. Using prior literature in music…
Descriptors: Music Education, Artificial Intelligence, Technology Uses in Education, Educational Benefits
Gencev, Marian; Šalounová, Dana – International Journal of Mathematical Education in Science and Technology, 2023
The aim of this paper is to present a teaching proposal for the theoretical part relating to the first- and second-order linear difference equations with constant coefficients suitable for the first-year students at various types of universities. In contradistinction to the methods often applied (memorization of algorithms without a proper…
Descriptors: Teaching Methods, Mathematics Instruction, Problem Solving, Geometric Concepts
Han, Insook; Obeid, Iyad; Greco, Devon – Technology, Knowledge and Learning, 2023
This report describes the use of electroencephalography (EEG) to collect online learners' physiological information. Recent technological advancements allow the unobtrusive collection of live neurosignals while learners are engaged in online activities. In the context of multimodal learning analytics, we discuss the potential use of this new…
Descriptors: Learning Analytics, Diagnostic Tests, Metacognition, Brain Hemisphere Functions
Alexandra Morrison; Adam M. Wellstead; Helen Dickinson – Teaching Public Administration, 2024
The use of algorithms and automation of public services is not new, but in recent years there has been a step change in processing power and a decrease in the price of these technologies, which means we are seeing more widespread use. These advances are reframing our perception of what matters in ways that impact the ethical dimensions of…
Descriptors: Algorithms, Public Administration, Ethics, Teaching Methods
Kirçali, Aycan Çelik; Özdener, Nesrin – Technology, Knowledge and Learning, 2023
This study examines the effects of plugged and unplugged programming tools used in algorithm teaching at the K-12 level on student computational thinking skills and to determine whether gender is a factor in this process. The study group was designed with a control group pre-test--post-test; quasi-experimental model, that consisted of 109 students…
Descriptors: Comparative Analysis, Teaching Methods, Learning Activities, Algorithms
Qiang Fu; Li Liu; Guofu Wang; Jing Yu; Shiyuan Fu – Journal of Chemical Education, 2023
Commonly used methods to simulate the oxidation-reduction (redox) titration curves include the three-step method and the rigorous method. The simple three-step method simulates the redox titration curve with the assumption that the reaction is complete, which is widely used in undergraduate quantitative analysis courses. For the rigorous…
Descriptors: Chemistry, Simulation, College Science, Undergraduate Students
Tanjea Ane; Tabatshum Nepa – Research on Education and Media, 2024
Precision education derives teaching and learning opportunities by customizing predictive rules in educational methods. Innovative educational research faces new challenges and affords state-of-the-art methods to trace knowledge between the teaching and learning ecosystem. Individual intelligence can only be captured through knowledge level…
Descriptors: Artificial Intelligence, Prediction, Models, Teaching Methods
Camille Lund – Mathematics Teacher: Learning and Teaching PK-12, 2024
Every educator knows the sinking feeling of a lesson gone wrong. As teachers look around the room and realize that many of their students are just not getting it, they often feel like failures. However, the struggle students experience as they persevere through high-quality challenging tasks is not a sign of failure, but rather a key aspect of…
Descriptors: Mathematics Instruction, Difficulty Level, Mathematics Skills, Teaching Methods
Hongyu Xie; He Xiao; Yu Hao – International Journal of Web-Based Learning and Teaching Technologies, 2024
Modern e-learning system is a representative service form in innovative service industry. This paper designs a personalized service domain system, optimizes various parameters and can be applied to different education quality evaluation, and proposes a decision tree recommendation algorithm. Information gain is carried out through many existing…
Descriptors: Artificial Intelligence, Electronic Learning, Individualized Instruction, Models
Vassoyan, Jean; Vie, Jill-Jênn – International Educational Data Mining Society, 2023
Adaptive learning is an area of educational technology that consists in delivering personalized learning experiences to address the unique needs of each learner. An important subfield of adaptive learning is learning path personalization: it aims at designing systems that recommend sequences of educational activities to maximize students' learning…
Descriptors: Reinforcement, Networks, Simulation, Educational Technology

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