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Huang, Changqin; Wu, Xuemei; Wang, Xizhe; He, Tao; Jiang, Fan; Yu, Jianhui – Educational Technology & Society, 2021
Collaborative reflection (co-reflection) plays a vital role in collaborative knowledge construction and behavior shared regulation. Although the mixed effect of online co-reflection was reported in the literature, few studies have comprehensively examined both individual and group factors and their relationships that affect the co-reflection…
Descriptors: Cooperation, Reflection, Objectives, Achievement Need
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Changhao Liang; Izumi Horikoshi; Rwitajit Majumdar; Brendan Flanagan; Hiroaki Ogata – Educational Technology & Society, 2023
Data-driven platforms with rich data and learning analytics applications provide immense opportunities to support collaborative learning such as algorithmic group formation systems based on learning logs. However, teachers can still get overwhelmed since they have to manually set the parameters to create groups and it takes time to understand the…
Descriptors: Automation, Grouping (Instructional Purposes), Groups, Student Characteristics
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Tsai, Cheng-Ting; Wu, Ja-Ling; Lin, Yu-Tzu; Yeh, Martin K.-C. – Educational Technology & Society, 2022
With the rapid increase of online learning and online degree programs, the need for a secure and fair scoring mechanisms in online learning becomes urgent. In this research, a secure scoring mechanism was designed and developed based on blockchain technology to build transparent and fair interactions among students and teachers. The proposed…
Descriptors: Electronic Learning, Online Courses, Computer Security, Scoring
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Gillani, Nabeel; Eynon, Rebecca; Chiabaut, Catherine; Finkel, Kelsey – Educational Technology & Society, 2023
Recent advances in Artificial Intelligence (AI) have sparked renewed interest in its potential to improve education. However, AI is a loose umbrella term that refers to a collection of methods, capabilities, and limitations--many of which are often not explicitly articulated by researchers, education technology companies, or other AI developers.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Educational Benefits
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Yang, Albert C. M.; Chen, Irene Y. L.; Flanagan, Brendan; Ogata, Hiroaki – Educational Technology & Society, 2021
Precision education is a new challenge in leveraging artificial intelligence, machine learning, and learning analytics to enhance teaching quality and learning performance. To facilitate precision education, text marking skills can be used to determine students' learning process. Text marking is an essential learning skill in reading. In this…
Descriptors: Grading, Computer Assisted Testing, Automation, Artificial Intelligence
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Yang, Albert C. M.; Chen, Irene Y. L.; Flanagan, Brendan; Ogata, Hiroaki – Educational Technology & Society, 2021
Reviewing learned knowledge is critical in the learning process. Testing the learning content instead of restudying, which is known as the testing effect, has been demonstrated to be an effective review strategy. However, education research recommends that instructors generate practice tests, but this burdens teachers and may also hinder teaching…
Descriptors: Cloze Procedure, Reading Comprehension, Reading Skills, Reading Improvement
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Lu, Owen H. T.; Huang, Anna Y. Q.; Tsai, Danny C. L.; Yang, Stephen J. H. – Educational Technology & Society, 2021
Human-guided machine learning can improve computing intelligence, and it can accurately assist humans in various tasks. In education research, artificial intelligence (AI) is applicable in many situations, such as predicting students' learning paths and strategies. In this study, we explore the benefits of repetitive practice of short-answer…
Descriptors: Test Items, Artificial Intelligence, Test Construction, Student Evaluation
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Bey, Anis; Jermann, Patrick; Dillenbourg, Pierre – Educational Technology & Society, 2018
Computer-graders have been in regular use in the context of MOOCs (Massive Open Online Courses). The automatic grading of programs presents an opportunity to assess and provide tailored feedback to large classes, while featuring at the same time a number of benefits like: immediate feedback, unlimited submissions, as well as low cost of feedback.…
Descriptors: Comparative Analysis, Online Courses, Feedback (Response), Foreign Countries
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Kuromiya, Hiroyuki; Majumdar, Rwitajit; Ogata, Hiroaki – Educational Technology & Society, 2020
Evidence-based education has become more relevant in the current technology-enhanced teaching-learning era. This paper introduces how Educational BIG data has the potential to generate such evidence. As evidence-based education traditionally hooks on the meta-analysis of the literature, so there are existing platforms that support manual input of…
Descriptors: Evidence Based Practice, Case Studies, Learning Analytics, Data Collection
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Challco, Geiser C.; Andrade, Fernando R. H.; Borges, Simone S.; Bittencourt, Ig I.; Isotani, Seiji – Educational Technology & Society, 2016
Flow is the affective state in which a learner is so engaged and involved in an activity that nothing else seems to matter. In this sense, to help students in the skill development and knowledge acquisition (referred to as learners' growth process) under optimal conditions, the instructional designers should create learning scenarios that favor…
Descriptors: Instructional Design, Models, Learning Theories, Student Development
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Romero, Lucila; North, Matthew; Gutiérrez, Milagros; Caliusco, Laura – Educational Technology & Society, 2015
The use of ontologies as tools to guide the generation, organization and personalization of e-learning content, including e-assessment, has drawn attention of the researchers because ontologies can represent the knowledge of a given domain and researchers use the ontology to reason about it. Although the use of these semantic technologies tends to…
Descriptors: Electronic Learning, Taxonomy, Networks, Evaluation
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Chun, Dorothy M. – Educational Technology & Society, 2019
Based on my role as Editor in Chief of the journal Language Learning & Technology since 2000 and on my experiences as a technology-enhanced language learning (TELL) researcher, developer and teacher, I will provide an overview of recent cutting-edge research on the uses of technologies for second language teaching and learning. I suggest that…
Descriptors: Computer Assisted Instruction, Second Language Instruction, Second Language Learning, Educational Technology
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Lama, Manuel; Vidal, Juan C.; Otero-Garcia, Estefania; Bugarin, Alberto; Barro, Senen – Educational Technology & Society, 2012
Large-sized repositories of learning objects (LOs) are difficult to create and also to maintain. In this paper we propose a way to reduce this drawback by improving the classification mechanisms of the LO repositories. Specifically, we present a solution to automate the LO classification of the Universia repository, a collection of more than 15…
Descriptors: Foreign Countries, Electronic Libraries, Metadata, Programming
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Afzal, Shazia; Robinson, Peter – Educational Technology & Society, 2011
Emotions play a significant role in healthy cognitive functioning; they impact memory, attention, decision-making and attitude; and are therefore influential in learning and achievement. Consequently, affective diagnoses constitute an important aspect of human teacher-learner interactions motivating efforts to incorporate skills of affect…
Descriptors: Psychological Patterns, Learning, Automation, Inferences
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Yang, Jie Chi; Huang, Yi Ting; Tsai, Chi Cheng; Chung, Ching I.; Wu, Yu Chieh – Educational Technology & Society, 2009
In recent years, using video as a learning resource has received a lot of attention and has been successfully applied to many learning activities. In comparison with text-based learning, video learning integrates more multimedia resources, which usually motivate learners more than texts. However, one of the major limitations of video learning is…
Descriptors: Multimedia Materials, Automation, Video Technology, Selection
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