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Reynald M. Cacho – Online Learning, 2024
The study proposes a balanced approach and flexible guidelines for incorporating generative artificial intelligence (AI) into university-level teaching and learning processes at both the university-departmental level and within individual academic autonomy. Building on the AI Ecological Education Policy Framework, the guidelines offer a suggestive…
Descriptors: Artificial Intelligence, College Instruction, Learning Processes, Guidelines
Glogger-Frey, Inga; Treier, Anne-Katrin; Renkl, Alexander – Instructional Science: An International Journal of the Learning Sciences, 2022
A worked-out or an open inventing problem with contrasting cases can prepare learners for learning from subsequent instruction differently regarding motivation and cognition. In addition, such activities potentially initiate different learning processes during the subsequent ("future") learning phase. In this experiment (N = 45…
Descriptors: Preservice Teachers, Motivation, Learning Processes, Learning Strategies
Buditjahjanto, I. Gusti Putu Asto – Journal of Technology and Science Education, 2022
The use of simulation tools has been widely used to learn something. Simulation tools have the advantage of imitating a process similar to the actual situation. But there are only a few researches that examine the students' engagement in using simulation tools in the learning process so that it affects the student learning outcomes. This research…
Descriptors: Computer Interfaces, Computer Simulation, Computer Uses in Education, Electronic Learning
Dina Fitria Murad; Meta Amalya Dewi; Arbaiah Inn; Silvia Ayunda Murad; Noor Udin; Taufik Darwis – Journal of Educators Online, 2025
This study aims to produce a more personalized recommendation system for online learning using multicriteria in collaborative filtering and data from the Binus Online Learning repository as a knowledge base. The study uses forecasting (regression) and consists of three stages: (1) collecting data on the results of the learning process; (2) adding…
Descriptors: Electronic Learning, Data Collection, Context Effect, Learning Processes
Olena, Glushchenko; Liudmyla, Sorokina; Maryna, Romaniukha – ICTE Journal, 2018
The paper deals with one of modern effective pedagogical technologies in relation to management of the educational process with students of higher educational institutions. The authors discuss the concept of virtual excursion, formulate its advantages over traditional technologies, clarify the principles of modern pedagogical activity through a…
Descriptors: Learning Processes, Information Technology, Computer Uses in Education, Higher Education
Cerný, Michal – Problems of Education in the 21st Century, 2021
Over the last thirty years, technology has created a new space (cyberspace) where people meet each other, seek information, or simply try to navigate through. However, there is no consensus in research on the character of cyberspaces and the extent to which they are real. In the first systematic empirical research of this nature, the study found…
Descriptors: College Students, Student Attitudes, Discourse Analysis, Figurative Language
Firipis, Arthur; Chandrasekaran, Siva; Joordens, Matthew – Athens Journal of Education, 2020
With the increasing use of 1:1 mobile devices within the curriculum space, differentiating its use to support "learner growth" has become an important discussion amongst policy makers, researchers, educators and learners. This research study provides an insight into how learners are using their 1:1 mobile device to support their learning…
Descriptors: Individualized Instruction, Handheld Devices, Learning Processes, Curriculum Design
Folkestad, James; Pilgrim, Mary E.; Sencindiver, Ben; Harindranathan, Priya – Journal of Educational Technology, 2019
Many factors play a role in a students' learning experience, but students' course interaction behaviors are particularly important toward fostering success. Instructors build learning tools (such as videos, online quizzes, etc.) that provide students with the opportunity to extend their learning outside the classroom. These tools require students…
Descriptors: Calculus, Educational Technology, Introductory Courses, Mathematics Instruction
Garcia-Zubia, Javier; Cuadros, Jordi; Romero, Susana; Hernandez-Jayo, Unai; Orduña, Pablo; Guenaga, Mariluz; Gonzalez-Sabate, Lucinio; Gustavsson, Ingvar – IEEE Transactions on Education, 2017
Remote laboratories give students the opportunity of experimenting in STEM by using the Internet to control and measure an experimental setting. Remote laboratories are increasingly used in the classroom to complement, or substitute for, hands-on laboratories, so it is important to know its learning value. While many authors approach this question…
Descriptors: Electronics, Engineering Education, Laboratories, Computer Uses in Education
Ponomariova, Olga Nikolaevna; Vasin?, Olga Nikolaevna – International Journal of Environmental and Science Education, 2016
This article aims to discuss the opportunities in the interactive teaching in higher education. The study presents the methodological approach of understanding the notions of "teaching technology" and "interactive teaching methods". The originality of the study consists in the authors' definition of the situation in "the…
Descriptors: Higher Education, Teaching Methods, Information Technology, Technology Integration
Santos, Olga Cristina, Ed.; Boticario, Jesus Gonzalez, Ed.; Romero, Cristobal, Ed.; Pechenizkiy, Mykola, Ed.; Merceron, Agathe, Ed.; Mitros, Piotr, Ed.; Luna, Jose Maria, Ed.; Mihaescu, Cristian, Ed.; Moreno, Pablo, Ed.; Hershkovitz, Arnon, Ed.; Ventura, Sebastian, Ed.; Desmarais, Michel, Ed. – International Educational Data Mining Society, 2015
The 8th International Conference on Educational Data Mining (EDM 2015) is held under auspices of the International Educational Data Mining Society at UNED, the National University for Distance Education in Spain. The conference held in Madrid, Spain, July 26-29, 2015, follows the seven previous editions (London 2014, Memphis 2013, Chania 2012,…
Descriptors: Data Analysis, Educational Research, Computer Uses in Education, Integrated Learning Systems
Malgieri, Massimiliano; Onorato, Pasquale; Mascheretti, Paolo; De Ambrosis, Anna – Physics Education, 2014
In this paper we report on an activity sequence with a group of 29 pre-service physics teachers based on the reconstruction and analysis of a thought experiment that was crucial for Huygens' derivation of the formula for the centre of oscillation of a physical pendulum. The sequence starts with student teachers approaching the historical…
Descriptors: Preservice Teachers, Mechanics (Physics), Motion, Teacher Attitudes
Cao, Bingyi; Esponda-Argüero, Margarita; Rojas, Raúl – International Association for Development of the Information Society, 2016
In order to reduce the passivity of students and enhance their learning experience in large lectures, we developed a browser-based tool called Classroom Interacter to promote classroom interaction. It allows students to use their own mobile devices to participate in the learning process. The main features of Classroom Interacter include live…
Descriptors: Classroom Communication, Classroom Techniques, Learning Experience, Learning Processes
da Silva, Jose´ Nunes, Jr.; Sousa Lima, Mary Anne; Silva Sousa, Eduardo Henrique; Oliveira Alexandre, Francisco Serra; Melo Leite, Antonio Jose´, Jr. – Journal of Chemical Education, 2014
This paper presents a piece of educational software covering a comprehensive number of topics of chemical kinetics, which is available free of charge in Portuguese and English. The software was developed to support chemistry educators and students in the teaching-learning process of chemical kinetics by using animations, calculations, and…
Descriptors: Kinetics, Computation, Educational Resources, Teaching Methods
Tempelaar, Dirk T.; Rienties, Bart; Nguyen, Quan – IEEE Transactions on Learning Technologies, 2017
Studies in the field of learning analytics (LA) have shown students' demographics and learning management system (LMS) data to be effective identifiers of "at risk" performance. However, insights generated by these predictive models may not be suitable for pedagogically informed interventions due to the inability to explain why students…
Descriptors: Student Behavior, Integrated Learning Systems, Personality, Educational Research