Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 7 |
Since 2006 (last 20 years) | 7 |
Descriptor
Source
International Association for… | 3 |
Grantee Submission | 2 |
International Educational… | 1 |
International Society for… | 1 |
Author
Bruce M. McLaren | 2 |
Kenneth Holstein | 2 |
Vincent Aleven | 2 |
Acar, Umut | 1 |
Akpinar, Nil-Jana | 1 |
Amjad Almusaed | 1 |
Ammar K. Albaaj | 1 |
Asaad Almssad | 1 |
Bonilla, Ángel Mora | 1 |
Dagorret, Pantxika | 1 |
Etcheverry, Patrick | 1 |
More ▼ |
Publication Type
Speeches/Meeting Papers | 7 |
Reports - Research | 6 |
Reports - Descriptive | 1 |
Education Level
Higher Education | 3 |
Postsecondary Education | 3 |
Secondary Education | 2 |
High Schools | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Audience
Location
France | 1 |
Netherlands | 1 |
Pennsylvania (Pittsburgh) | 1 |
Spain | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Tempelaar, Dirk – International Association for Development of the Information Society, 2022
E-tutorial learning aids as worked examples and hints have been established as effective instructional formats in problem-solving practices. However, less is known about variations in the use of learning aids across individuals at different stages in their learning process in student-centred learning contexts. This study investigates different…
Descriptors: Learning Analytics, Student Centered Learning, Learning Processes, Student Behavior
Amjad Almusaed; Asaad Almssad; Ammar K. Albaaj – International Society for Technology, Education, and Science, 2024
The impact of artificial intelligence (AI) on education and lifelong learning is a topic of significant importance as AI continues to change numerous sectors. This paper aims to critically examine AI's profound effect in these domains. The present research explores the ethical dilemmas and pedagogical approaches relevant to incorporating…
Descriptors: Ethics, Lifelong Learning, Artificial Intelligence, Computer Software
Akpinar, Nil-Jana; Ramdas, Aaditya; Acar, Umut – International Educational Data Mining Society, 2020
Educational software data promises unique insights into students' study behaviors and drivers of success. While much work has been dedicated to performance prediction in massive open online courses, it is unclear if the same methods can be applied to blended courses and a deeper understanding of student strategies is often missing. We use pattern…
Descriptors: Learning Strategies, Blended Learning, Learning Analytics, Student Behavior
Ojeda-Hernández, Manuel; Pérez-Gámez, Francisco; Bonilla, Ángel Mora; López-Rodríguez, Domingo – International Association for Development of the Information Society, 2021
Due to the COVID-19 restrictions, high-schools in Spain are having both online and in-class lectures. As a result, the students can use not only the information provided by the teachers in class, but they can also use several other methods such as videos and online examples that allow the students to have materials from different places. In this…
Descriptors: Logical Thinking, Mathematics Education, Foreign Countries, High School Students
Roux, Lisa; Dagorret, Pantxika; Etcheverry, Patrick; Nodenot, Thierry; Marquesuzaa, Christophe; Lopisteguy, Philippe – International Association for Development of the Information Society, 2021
Distance computer-assisted learning is increasingly common, owing largely to the expansion and development of e-technology. Nevertheless, the available tools of the learning platforms have demonstrated their limits during the pandemic context, since many students, who were used to "face-to-face" education, got discouraged and dropped out…
Descriptors: Distance Education, Computer Software, Teacher Student Relationship, Supervision
Kenneth Holstein; Bruce M. McLaren; Vincent Aleven – Grantee Submission, 2017
Intelligent tutoring systems (ITSs) are commonly designed to enhance student learning. However, they are not typically designed to meet the needs of teachers who use them in their classrooms. ITSs generate a wealth of analytics about student learning and behavior, opening a rich design space for real-time teacher support tools such as dashboards.…
Descriptors: Intelligent Tutoring Systems, Technology Integration, Educational Technology, Middle School Teachers
Kenneth Holstein; Bruce M. McLaren; Vincent Aleven – Grantee Submission, 2017
Classroom experiments that evaluate the effectiveness of educational technologies do not typically examine the effects of classroom contextual variables (e.g., out-of-software help-giving and external distractions). Yet these variables may influence students' instructional outcomes. In this paper, we introduce the Spatial Classroom Log Explorer…
Descriptors: Learning Processes, Visual Learning, Visualization, Computer Software