Publication Date
| In 2026 | 0 |
| Since 2025 | 180 |
| Since 2022 (last 5 years) | 1085 |
| Since 2017 (last 10 years) | 1813 |
| Since 2007 (last 20 years) | 1848 |
Descriptor
Source
Author
| Gaševic, Dragan | 24 |
| Dragan Gaševic | 17 |
| Ogata, Hiroaki | 15 |
| Baker, Ryan S. | 14 |
| Pardo, Abelardo | 13 |
| Roberto Martinez-Maldonado | 13 |
| Ouyang, Fan | 12 |
| Prinsloo, Paul | 12 |
| Rienties, Bart | 12 |
| Saqr, Mohammed | 12 |
| Hershkovitz, Arnon | 11 |
| More ▼ | |
Publication Type
Education Level
Location
| Australia | 76 |
| China | 62 |
| United Kingdom | 39 |
| Spain | 26 |
| Japan | 24 |
| Turkey | 24 |
| United States | 20 |
| Europe | 19 |
| Taiwan | 19 |
| Netherlands | 18 |
| Finland | 17 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Lundqvist, Karsten Ø.; Liyanagunawardena, Tharindu; Starkey, Louise – International Review of Research in Open and Distributed Learning, 2020
Many course designers trying to evaluate the experience of participants in a MOOC will find it difficult to track and analyse the online actions and interactions of students because there may be thousands of learners enrolled in courses that sometimes last only a few weeks. This study explores the use of automated sentiment analysis in assessing…
Descriptors: Feedback (Response), Online Courses, Student Experience, Peer Relationship
Almeda, Ma. Victoria; Baker, Ryan S. – Journal of Educational Data Mining, 2020
Given the increasing need for skilled workers in science, technology, engineering, and mathematics (STEM), there is a burgeoning interest to encourage young students to pursue a career in STEM fields. Middle school is an opportune time to guide students' interests towards STEM disciplines, as they begin to think about and plan for their career…
Descriptors: Student Participation, Predictor Variables, STEM Education, Science Careers
Pence, Harry E. – Education Sciences, 2020
Chemical educators are facing a new generation of instructional technologies that impact classroom teaching. New technologies, like smartphones, cloud computing and artificial intelligence take learning beyond the classroom; 3D printing, virtual reality, and augmented reality provide new ways to teach the virtualization skills that are important…
Descriptors: Chemistry, Educational Technology, Telecommunications, Handheld Devices
Maaliw, Renato R., III – Online Submission, 2020
Most virtual learning environment fails to recognize that students have different needs when it comes to learning. With the evolving characteristics and tendencies of students, these learning environments must provide adaptation and personalization features for adaptive learning materials, course content and navigational designs to support…
Descriptors: Virtual Classrooms, Electronic Learning, Integrated Learning Systems, Individualized Instruction
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
Hur, Paul; Bosch, Nigel; Paquette, Luc; Mercier, Emma – International Educational Data Mining Society, 2020
Collaborative problem solving behaviors are difficult to identify and foster due to their amorphous and dynamic nature. In this paper, we investigate the value of considering early class period behaviors, based on small group development theory, for building predictive machine learning models of collaborative behaviors during problem solving. Over…
Descriptors: Cooperative Learning, Interaction, Peer Relationship, Handheld Devices
Taneri, Grace Ufuk – Center for Studies in Higher Education, 2020
We are living in an era of artificial intelligence (AI). There is wide discussion about and experimentation with the impact of AI on education/higher education. In this paper, we give a discussion of how AI is evolving, explore the ways AI is changing education/higher education, give a concise account of the skills universities need to teach their…
Descriptors: Artificial Intelligence, Higher Education, Electronic Learning, Blended Learning
Yuan, Chia-Ching; Li, Cheng-Hsuan; Peng, Chin-Cheng – Interactive Learning Environments, 2023
Fighter jets are a critical national asset. Because of the high cost of their manufacture and that of their related equipment, both pilots and maintenance personnel must complete intensive training before coming into contact with a jet. Due to gradual military downsizing, one-on-one training is often impracticable, and the level of familiarization…
Descriptors: Artificial Intelligence, Man Machine Systems, Technology Uses in Education, Educational Technology
Lu Cao; Stephen Doherty; James F. Lee – Interpreter and Translator Trainer, 2023
As the final phase of the translation process, self-revision has traditionally been a relatively neglected component despite it being widely acknowledged as critical to achieving high-quality translation and in translator training. To identify effective educational interventions for self-revision, the current paper reports on a study that…
Descriptors: Translation, Second Language Learning, Second Language Instruction, Professional Education
Zhongdi Wu; Eric Larson; Makoto Sano; Doris Baker; Nathan Gage; Akihito Kamata – Grantee Submission, 2023
In this investigation we propose new machine learning methods for automated scoring models that predict the vocabulary acquisition in science and social studies of second grade English language learners, based upon free-form spoken responses. We evaluate performance on an existing dataset and use transfer learning from a large pre-trained language…
Descriptors: Prediction, Vocabulary Development, English (Second Language), Second Language Learning
Senkbeil, Martin – Education and Information Technologies, 2022
This study examined the incremental validity of different information and communication technologies (ICT)-related person characteristics over and above intelligence and and prior achievement when predicting ICT literacy across a period of three years. Relative weights analyses were performed to determine the relative contribution of each…
Descriptors: Technological Literacy, Information Technology, Validity, Individual Characteristics
Farhady, Hossein; Selcuk, Merve – Iranian Journal of Language Teaching Research, 2022
Diagnostic assessment (DA) in language classrooms is reported to have a substantial role in providing immediate and quality feedback for remedial work that would improve learning (Alderson, Brunfaut & Harding; 2014; Hattie & Timperley, 2007; Huhta, 2008; Jang & Wagner, 2013). However, applying DA in class remains a challenge for many…
Descriptors: Language Teachers, English (Second Language), Second Language Learning, Second Language Instruction
Farrow, Elaine; Moore, Johanna D.; Gaševic, Dragan – Journal of Learning Analytics, 2022
By participating in asynchronous course discussion forums, students can work together to refine their ideas and construct knowledge collaboratively. Typically, some messages simply repeat or paraphrase course content, while others bring in new material, demonstrate reasoning, integrate concepts, and develop solutions. Through the messages they…
Descriptors: Asynchronous Communication, Computer Mediated Communication, Group Discussion, Learning Analytics
Mirzaei, Maryam Sadat; Meshgi, Kourosh – Research-publishing.net, 2022
This article introduces self-regulation features with Partial and Synchronized Caption (PSC) for practicing listening skills and fostering self-paced and autonomous learning. PSC generates a partial caption by focusing on acoustically and lexically difficult words and synchronizes each word's appearance with the speaker's speech. The aim is to…
Descriptors: Metacognition, Listening Comprehension, English (Second Language), Second Language Learning
Wu, Fati; Lai, Song – Distance Education, 2019
Open, flexible and distance learning has become part of mainstream education in China. Using a blended learning program in a Chinese high school as the case, this study adopted data-mining approaches to establish predictive models using personality traits. Results showed that, for students with high OE and low extraversion, and students who are…
Descriptors: Personality Traits, Learning Analytics, Foreign Countries, At Risk Students

Peer reviewed
Direct link
