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Hofierka, Jaroslav; Gallay, Michal; Šupinský, Jozef; Gallayová, Gabriela – Education and Information Technologies, 2022
Geography education requires a combination of knowledge, skills, and geospatial relational thinking. To improve the learning efficiency and durability of knowledge, a new inquiry-based instruction system using tangible user interfaces has been developed. The tangible landscape modeling system (TLMS) comprises four components including a malleable…
Descriptors: Geography Instruction, Disadvantaged, Secondary School Students, Teaching Methods
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Vlachogianni, Prokopia; Tselios, Nikolaos – Journal of Research on Technology in Education, 2022
This article presents the findings of a systematic review of perceived usability of educational technology systems. The research was conducted after studying, organizing, and analyzing the results of 104 research papers evaluating perceived usability of educational technologies using the System Usability Scale (SUS). The results were organized on…
Descriptors: Usability, Educational Technology, Technology Uses in Education, Measures (Individuals)
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Li, Shan; Zheng, Juan; Lajoie, Susanne P. – Educational Technology & Society, 2022
Examining the sequential patterns of self-regulated learning (SRL) behaviors is gaining popularity to understand students' performance differences. However, few studies have looked at the transition probabilities among different SRL behaviors. Moreover, there is a lack of research investigating the temporal structures of students' SRL behaviors…
Descriptors: Problem Solving, Intelligent Tutoring Systems, Metacognition, Sequential Approach
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Xu, Jia; Wei, Tingting; Lv, Pin – International Educational Data Mining Society, 2022
In an Intelligent Tutoring System (ITS), problem (or question) difficulty is one of the most critical parameters, directly impacting problem design, test paper organization, result analysis, and even the fairness guarantee. However, it is very difficult to evaluate the problem difficulty by organized pre-tests or by expertise, because these…
Descriptors: Prediction, Programming, Natural Language Processing, Databases
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Gang Yang; Wei Zhou; Huimin Zhou; Jiawen Li; Xiaodong Chen; Yun-Fang Tu – Education and Information Technologies, 2024
Second language (L2) writing plays an important role in improving the learners' language skills of English as a Foreign Language (EFL) in terms of language expression and linguistic thinking. Therefore, improving writing skills is still a focus area for EFL learners. To enhance EFL learners' writing ability and optimize their writing quality, an…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Writing Skills
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Xiaxia Cao; Yao Zhao; Xiang Li – Education and Information Technologies, 2024
Various studies have been conducted on applying intelligent recognition technology, especially speech recognition technology to improve English learning ability, mostly listening and speaking. However, few studies have touched on how image-to-text recognition technology can be used for writing. The present research was conducted to fill this gap…
Descriptors: Captions, Second Language Learning, Second Language Instruction, Teaching Methods
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Claudia Lizette Garay-Rondero; Alvaro Castillo-Paz; Carlos Gijón-Rivera; Gerardo Domínguez-Ramírez; Conrado Rosales-Torres; Alberto Oliart-Ros – Cogent Education, 2024
Higher Education faces challenges in providing learning experiences and cultivating competencies in our modern environment. Academic discourse centres on tutoring automation, a complicated educational dilemma in the age of Machine Learning, Deep Learning, and Artificial Intelligence. Establishing a structured technique for real competency…
Descriptors: Competency Based Education, Performance Based Assessment, Evaluation Methods, Undergraduate Students
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Nakhon Kitjaroonchai; Suzanna Maywald – Journal of English Teaching, 2024
This study investigated the effects of a reading assistant software on the fluency and accuracy of speech production among EFL university students, employing a one-group pretest-posttest design. The participants included 50 Thai undergraduate English majors in their first and second years. Data were analyzed using paired samples t-tests to measure…
Descriptors: Reading Instruction, Computer Software, Accuracy, Oral Language
Yasemin Copur-Gencturk; Jingxian Li; Sebnem Atabas – American Educational Research Journal, 2024
Scalable and accessible professional development programs have the potential to address the opportunity gap many teachers experience. Yet many asynchronous online programs lack interaction with and timely feedback to teachers. We addressed this problem by developing a virtual, interactive program that uses intelligent tutoring systems to provide…
Descriptors: Artificial Intelligence, Faculty Development, Individualized Instruction, Interaction
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Lodder, Josje; Heeren, Bastiaan; Jeuring, Johan – Journal of Computer Assisted Learning, 2019
This article describes an experiment with LogEx, an e-learning environment that supports students in learning how to prove the equivalence between two logical formulae, using standard equivalences such as DeMorgan. In the experiment, we compare two groups of students. The first group uses the complete learning environment, including hints, next…
Descriptors: Logical Thinking, Feedback (Response), Instructional Effectiveness, Intelligent Tutoring Systems
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Ferro, Lauren S.; Sapio, Francesco; Terracina, Annalisa; Temperini, Marco; Mecella, Massimo – IEEE Transactions on Learning Technologies, 2021
Education and training are among the fields taking advantage of serious games (SGs). In this article, we present Gea 2: A New Earth, a digital SG developed as an immersive 3-D virtual learning environment, integrating several educational resources, including multimedia learning material, communication tools, and intelligent tutoring support. The…
Descriptors: Educational Games, STEM Education, Technology Uses in Education, Intelligent Tutoring Systems
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Haglund, Pontus; Strömbäck, Filip; Mannila, Linda – Informatics in Education, 2021
Controlling complexity through the use of abstractions is a critical part of problem solving in programming. Thus, becoming proficient with procedural and data abstraction through the use of user-defined functions is important. Properly using functions for abstraction involves a number of other core concepts, such as parameter passing, scope and…
Descriptors: Computer Science Education, Programming, Programming Languages, Problem Solving
Olney, Andrew M.; Gilbert, Stephen B.; Rivers, Kelly – Grantee Submission, 2021
Cyberlearning technologies increasingly seek to offer personalized learning experiences via adaptive systems that customize pedagogy, content, feedback, pace, and tone according to the just-in-time needs of a learner. However, it is historically difficult to: (1) create these smart learning environments; (2) continuously improve them based on…
Descriptors: Educational Technology, Computer Assisted Instruction, Learning Analytics, Intelligent Tutoring Systems
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Rachatasumrit, Napol; Koedinger, Kenneth R. – International Educational Data Mining Society, 2021
Student modeling is useful in educational research and technology development due to a capability to estimate latent student attributes. Widely used approaches, such as the Additive Factors Model (AFM), have shown satisfactory results, but they can only handle binary outcomes, which may yield potential information loss. In this work, we propose a…
Descriptors: Models, Student Characteristics, Feedback (Response), Error Correction
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Bull, Susan – IEEE Transactions on Learning Technologies, 2020
This overview outlines key issues in learning with an open learner model (OLM). Originally, learner models remained hidden, as their primary role was to enable a system to personalize the educational interaction. Opening the model in an understandable form provides additional methods of prompting reflection, planning, and other metacognitive…
Descriptors: Intelligent Tutoring Systems, Models, Student Characteristics, Educational Research
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