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Jiang, Bo; Wu, Simin; Yin, Chengjiu; Zhang, Haifeng – IEEE Transactions on Learning Technologies, 2020
Accurately tracing the state of learner knowledge contributes to providing high-quality intelligent support for computer-supported programming learning. However, knowledge tracing is difficult when learners have only had a few practice opportunities, which is often common in block-based programming. This article proposed two knowledge tracing…
Descriptors: Programming, Computer Assisted Instruction, Problem Solving, Task Analysis
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
Derntl, M.; Neumann, S.; Griffiths, D.; Oberhuemer, P. – IEEE Transactions on Learning Technologies, 2012
IMS Learning Design (LD) is the only available interoperability specification in the area of technology enhanced learning that allows the definition and orchestration of complex activity flows and resource environments in a multirole setting. IMS LD has been available since 2003, and yet it has not been widely adopted either by practitioners or by…
Descriptors: Foreign Countries, Educational Technology, Instructional Design, Computer Software
Jain, G. Panka; Gurupur, Varadraj P.; Schroeder, Jennifer L.; Faulkenberry, Eileen D. – IEEE Transactions on Learning Technologies, 2014
In this paper, we describe a tool coined as artificial intelligence-based student learning evaluation tool (AISLE). The main purpose of this tool is to improve the use of artificial intelligence techniques in evaluating a student's understanding of a particular topic of study using concept maps. Here, we calculate the probability distribution of…
Descriptors: Artificial Intelligence, Concept Mapping, Teaching Methods, Student Evaluation
Chin, Kai-Yi; Lee, Ko-Fong; Chen, Yen-Lin – IEEE Transactions on Learning Technologies, 2015
This study developed a QR-based U-Learning Material Production System (QR-ULMPS) that provides teachers with an education tool to motivate college level students enrolled in a liberal arts course. QR-ULMPS was specifically designed to support the development of u-learning materials and create an engaging context-aware u-learning environment for…
Descriptors: Student Motivation, Learning Experience, Outdoor Education, Questionnaires
Torrente, Javier; Borro-Escribano, Blanca; Freire, Manuel; del Blanco, Ángel; Marchiori, Eugenio J.; Martinez-Ortiz, Iván; Moreno-Ger, Pablo; Fernández-Manjón, Baltasar – IEEE Transactions on Learning Technologies, 2014
We present EGDA, an educational game development approach focused on the teaching of procedural knowledge using a cost-effective approach. EGDA proposes four tasks: analysis, design, implementation, and quality assurance that are subdivided in a total of 12 subtasks. One of the benefits of EGDA is that anyone can apply it to develop a game since…
Descriptors: Computer Simulation, Video Games, Teaching Methods, Health Services
Howard, A. M.; Park, Chung Hyuk; Remy, S. – IEEE Transactions on Learning Technologies, 2012
The robotics field represents the integration of multiple facets of computer science and engineering. Robotics-based activities have been shown to encourage K-12 students to consider careers in computing and have even been adopted as part of core computer-science curriculum at a number of universities. Unfortunately, for students with visual…
Descriptors: Robotics, Computer Interfaces, Federal Aid, Pilot Projects