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Patrick P. Weis; Wilfried Kunde – Cognitive Research: Principles and Implications, 2023
With ubiquitous computing, problems can be solved using more strategies than ever, though many strategies feature subpar performance. Here, we explored whether and how simple advice regarding when to use which strategy can improve performance. Specifically, we presented unfamiliar alphanumeric equations (e.g., A + 5 = F) and asked whether counting…
Descriptors: Information Retrieval, Information Technology, Computers, Data Processing
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S. Siva Shankar; Bui Thanh Hung; Prasun Chakrabarti; Tulika Chakrabarti; Gayatri Parasa – Education and Information Technologies, 2024
Modern life is increasingly influenced by networks, making cybersecurity a crucial area of study. However, due to their few resources and varied makeup, they are more vulnerable to a wide range of cyber-attacks. Such risks result in sensitive information being stolen as well as financial and reputational harm to firms. How far malicious detection…
Descriptors: Learning Processes, Artificial Intelligence, Information Security, Computer Security
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Jens Roeser; Sven De Maeyer; Mariëlle Leijten; Luuk Van Waes – Reading and Writing: An Interdisciplinary Journal, 2024
To writing anything on a keyboard at all requires us to know first what to type, then to activate motor programmes for finger movements, and execute these. An interruption in the information flow at any of these stages leads to disfluencies. To capture this combination of fluent typing and typing hesitations, researchers calculate different…
Descriptors: Keyboarding (Data Entry), Bayesian Statistics, Writing (Composition), Writing Evaluation
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Revilla, Melanie; Couper, Mick P.; Paura, Ezequiel; Ochoa, Carlos – Field Methods, 2021
Passive data from a tracking application (or "meter") installed on participants' devices to register the URLs visited have great potential for studying people's online activities. However, given privacy concerns, obtaining cooperation installing a meter can be difficult and lead to selection bias. Therefore, in this article, we address…
Descriptors: Participation, Computer Use, Internet, Data Collection
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Li, Maximilian Xiling; Nadj, Mario; Maedche, Alexander; Ifenthaler, Dirk; Wöhler, Johannes – Technology, Knowledge and Learning, 2022
With the advent of physiological computing systems, new avenues are emerging for the field of learning analytics related to the potential integration of physiological data. To this end, we developed a physiological computing infrastructure to collect physiological data, surveys, and browsing behavior data to capture students' learning journey in…
Descriptors: Physiology, Computation, Artificial Intelligence, Psychological Patterns
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Mengxiao Zhu; Mo Zhang; Lin Gu – Language Assessment Quarterly, 2023
Recent technology advances have enabled the collection of keystroke logs during writing, a non-intrusive approach to collecting writing process data that could provide insights into writers' editing and revising behaviors in the writing process. Using keystroke logs from 761 middle school students in the US, this study investigated the association…
Descriptors: Editing, Revision (Written Composition), Writing Attitudes, Middle School Students
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Shih-Ting Chu; Chun-Chun Chang; Yun-Fang Tu – Educational Technology Research and Development, 2025
In higher education, concept mapping has been extensively adopted as an assessment and evaluation tool for conceptual knowledge. In recent years, an increasing number of researchers have applied concept mapping to teaching in technology-based environments. However, no research was found to holistically explore the role of concept maps in…
Descriptors: Concept Mapping, Technology Uses in Education, Higher Education, Educational Research
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Rivers, Kelly; Koedinger, Kenneth R. – International Journal of Artificial Intelligence in Education, 2017
To provide personalized help to students who are working on code-writing problems, we introduce a data-driven tutoring system, ITAP (Intelligent Teaching Assistant for Programming). ITAP uses state abstraction, path construction, and state reification to automatically generate personalized hints for students, even when given states that have not…
Descriptors: Programming, Coding, Computers, Data
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Ro, Hyun Kyoung; Menard, Tiffany; Kniess, Dena; Nickelsen, Ashley – New Directions for Institutional Research, 2017
This chapter provides examples of innovative methods and tools to collect, analyze, and report both quantitative and qualitative data in student affairs assessment.
Descriptors: Student Personnel Services, Academic Support Services, Program Evaluation, Evaluation Methods
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Barkaoui, Khaled – Studies in Second Language Acquisition, 2019
When responding to a writing task, writers spend a significant amount of their time not writing. These periods of physical inactivity, or pauses, during writing provide observable and measurable cues as to when, where, and how long writers halt to plan and/or revise their texts. Consequently, examining writers' pausing patterns can provide…
Descriptors: Writing Processes, Task Analysis, Second Language Learning, Language Proficiency
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Zhang, Ruofei; Zou, Di; Xie, Haoran; Au, Oliver Tat Sheung; Wang, Fu Lee – Knowledge Management & E-Learning, 2020
This study presents a systematic review of previous research on ebook-based language learning. E-book-based language learning has been increasingly investigated in the field of language education, whereas previous review studies of relevant literature were relatively low in volume and incomprehensive from aspects of research participants and…
Descriptors: Second Language Learning, English (Second Language), Electronic Learning, Handheld Devices
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Ghergulescu, Ioana; Muntean, Cristina Hava – International Journal of Artificial Intelligence in Education, 2016
Engagement influences participation, progression and retention in game-based e-learning (GBeL). Therefore, GBeL systems should engage the players in order to support them to maximize their learning outcomes, and provide the players with adequate feedback to maintain their motivation. Innovative engagement monitoring solutions based on players'…
Descriptors: Case Studies, Questionnaires, Electronic Learning, Educational Games
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Yilmaz, Ozkan – Journal of Education and Learning, 2016
A variety of e-learning theories, models, and strategy have been developed to support educational settings. There are many factors for designing good instructional settings. This study set out to determine functionality of mobile devices, students who already have, and the student needs and views in relation to e-learning settings. The study…
Descriptors: Electronic Learning, Educational Technology, Handheld Devices, Technology Uses in Education
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Nunn, John – Physics Education, 2016
A cordless mouse with an added reed switch is used as a wireless data logger to record every time the wheel of a trolley completes a revolution. The limitations of the system in terms of maximum clicking rate and spatial resolution are considered and data obtained from the descent of a trolley down a ramp at various different angles is analysed in…
Descriptors: Computer Peripherals, Computers, Computer Uses in Education, Computer Interfaces
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Valdés Aguirre, Benjamín; Ramírez Uresti, Jorge A.; du Boulay, Benedict – International Journal of Artificial Intelligence in Education, 2016
Sharing user information between systems is an area of interest for every field involving personalization. Recommender Systems are more advanced in this aspect than Intelligent Tutoring Systems (ITSs) and Intelligent Learning Environments (ILEs). A reason for this is that the user models of Intelligent Tutoring Systems and Intelligent Learning…
Descriptors: Intelligent Tutoring Systems, Models, Open Source Technology, Computers
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