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Manero, Borja; Torrente, Javier; Fernandez-Vara, Clara; Fernandez-Manjon, Baltasar – IEEE Transactions on Learning Technologies, 2017
This study examines the influence of players' age, gender, and gaming preferences and habits (from now on, "gaming preferences") on the effectiveness of a specific videogame that has been designed to increase the interest towards classical theater among teenagers. Using a validated instrument, participants were divided into four groups…
Descriptors: Computer Uses in Education, Gender Differences, Age Differences, Instructional Effectiveness
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Malliarakis, Christos; Satratzemi, Maya; Xinogalos, Stelios – IEEE Transactions on Learning Technologies, 2017
Computer programming has for decades posed several difficulties for students of all educational levels. A number of teaching approaches have been proposed over the years but none seems to fulfil the needs of students nowadays. Students use computers mainly for playing games and the Internet and as quite a few researchers state this aspect of…
Descriptors: Computer Games, Computer Science Education, Programming, Instructional Effectiveness
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Shadiev, Rustam; Hwang, Wu-Yuin; Huang, Yueh-Min; Liu, Tzu-Yu – IEEE Transactions on Learning Technologies, 2017
For this study, we designed learning activities in which students applied newly acquired knowledge to solve meaningful daily life problems in their local community--a real, familiar, and relevant environment for students. For example, students learned about signs and rules in class and then applied this new knowledge to create their own rules for…
Descriptors: English (Second Language), Second Language Learning, Junior High School Students, Dictionaries
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VanLehn, Kurt; Wetzel, Jon; Grover, Sachin; van de Sande, Brett – IEEE Transactions on Learning Technologies, 2017
Constructing models of dynamic systems is an important skill in both mathematics and science instruction. However, it has proved difficult to teach. Dragoon is an intelligent tutoring system intended to quickly and effectively teach this important skill. This paper describes Dragoon and an evaluation of it. The evaluation randomly assigned…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Skill Development
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Karataev, Evgeny; Zadorozhny, Vladimir – IEEE Transactions on Learning Technologies, 2017
Many techniques have been developed to enhance learning experience with computer technology. A particularly great influence of technology on learning came with the emergence of the web and adaptive educational hypermedia systems. While the web enables users to interact and collaborate with each other to create, organize, and share knowledge via…
Descriptors: Socialization, Social Networks, Electronic Publishing, Collaborative Writing
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Liu, Ming; Rus, Vasile; Liu, Li – IEEE Transactions on Learning Technologies, 2017
Question generation is an emerging research area of artificial intelligence in education. Question authoring tools are important in educational technologies, e.g., intelligent tutoring systems, as well as in dialogue systems. Approaches to generate factual questions, i.e., questions that have concrete answers, mainly make use of the syntactical…
Descriptors: Chinese, Questioning Techniques, Automation, Natural Language Processing
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Kinnebrew, John S.; Segedy, James R.; Biswas, Gautam – IEEE Transactions on Learning Technologies, 2017
Research in computer-based learning environments has long recognized the vital role of adaptivity in promoting effective, individualized learning among students. Adaptive scaffolding capabilities are particularly important in open-ended learning environments, which provide students with opportunities for solving authentic and complex problems, and…
Descriptors: Computer Assisted Instruction, Problem Solving, Learning, Student Behavior
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Magnisalis, Ioannis; Demetriadis, Stavros – IEEE Transactions on Learning Technologies, 2017
This article presents evaluation data regarding the MAPIS3 architecture which is proposed as a solution for the data-transfer among various tools to promote flexible collaborative learning designs. We describe the problem that this architecture deals with as "tool orchestration" in collaborative learning settings. This term refers to a…
Descriptors: Computer Uses in Education, Cooperative Learning, Computer System Design, Internet
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Cabielles-Hernandez, David; Pérez-Pérez, Juan-Ramón; Paule-Ruiz, MPuerto; Fernández-Fernández, Samuel – IEEE Transactions on Learning Technologies, 2017
New possibilities offered by mobile devices for special education students have led to the design of skill acquisition software applications. Advances in mobile technologies development have made progress possible in helping teachers with autistic students modelling and evaluation. "Chain of Words" theoretical basis is the autism…
Descriptors: Autism, Pervasive Developmental Disorders, Children, Communication Strategies
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Capuano, Nicola; Loia, Vincenzo; Orciuoli, Francesco – IEEE Transactions on Learning Technologies, 2017
Massive Open Online Courses (MOOCs) are becoming an increasingly popular choice for education but, to reach their full extent, they require the resolution of new issues like assessing students at scale. A feasible approach to tackle this problem is peer assessment, in which students also play the role of assessor for assignments submitted by…
Descriptors: Participative Decision Making, Models, Peer Evaluation, Online Courses
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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
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Conijn, Rianne; Snijders, Chris; Kleingeld, Ad; Matzat, Uwe – IEEE Transactions on Learning Technologies, 2017
With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available describing students' online behavior. Many researchers have used these data to predict student performance. This has led to a rather diverse set of findings, possibly related to the diversity in courses and predictor variables…
Descriptors: Blended Learning, Predictor Variables, Predictive Validity, Predictive Measurement
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Schwendimann, Beat A.; Rodriguez-Triana, Maria Jesus; Vozniuk, Andrii; Prieto, Luis P.; Boroujeni, Mina Shirvani; Holzer, Adrian; Gillet, Denis; Dillenbourg, Pierre – IEEE Transactions on Learning Technologies, 2017
This paper presents a systematic literature review of the state-of-the-art of research on learning dashboards in the fields of Learning Analytics and Educational Data Mining. Research on learning dashboards aims to identify what data is meaningful to different stakeholders and how data can be presented to support sense-making processes. Learning…
Descriptors: Literature Reviews, Educational Research, Data Analysis, Data Processing
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Scheffel, Maren; Drachsler, Hendrik; de Kraker, Joop – IEEE Transactions on Learning Technologies, 2017
In collaborative learning environments, students work together on assignments in virtual teams and depend on each other's contribution to achieve their learning objectives. The online learning environment, however, may not only facilitate but also hamper group communication, coordination, and collaboration. Group awareness widgets that visualize…
Descriptors: Cooperative Learning, Electronic Learning, Computer Oriented Programs, Group Dynamics
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Mejia, Carolina; Florian, Beatriz; Vatrapu, Ravi; Bull, Susan; Gomez, Sergio; Fabregat, Ramon – IEEE Transactions on Learning Technologies, 2017
Existing tools aim to detect university students with early diagnosis of dyslexia or reading difficulties, but there are not developed tools that let those students better understand some aspects of their difficulties. In this paper, a dashboard for visualizing and inspecting early detected reading difficulties and their characteristics, called…
Descriptors: Clinical Diagnosis, Dyslexia, Visualization, Metacognition
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