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Alexis Danielle Bolick; Rafael Leonardo da Silva – TechTrends: Linking Research and Practice to Improve Learning, 2024
This article explores the potential impact of Artificial Intelligence (AI) tools on Instructional Design (ID) workflows and organizations from a systems thinking perspective (Meadows, 2008). We provide an in-depth analysis of how three AI tools, ChatGPT, Midjourney, and Descript, can enhance efficiency in instructional design content creation…
Descriptors: Artificial Intelligence, Instructional Design, Task Analysis, Ethics
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Lars de Vreugd; Anouschka van Leeuwen; Marieke van der Schaaf – Journal of Computer Assisted Learning, 2025
Background: University students need to self-regulate but are sometimes incapable of doing so. Learning Analytics Dashboards (LADs) can support students' appraisal of study behaviour, from which goals can be set and performed. However, it is unclear how goal-setting and self-motivation within self-regulated learning elicits behaviour when using an…
Descriptors: Learning Analytics, Educational Technology, Goal Orientation, Learning Motivation
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Segun Michael Ojetunde; Umesh Ramnarain; Timothy Teo – Educational Media International, 2025
The acceptance of Fourth Industrial Revolution technology for teaching and learning during the pandemic lockdown suggests that a significant portion of educational interactions will shift online shortly. However, the suitability of this technology for inquiry-based learning requires further investigation. This study aimed to assess the…
Descriptors: Educational Technology, Active Learning, Inquiry, Technological Advancement
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Myong-Hee Ko; Gayeong Jung; Jee Eun Kim – English Teaching, 2024
The current study examines the digital behaviors of 124 university students enrolled in a blended learning class in Korea. The students were divided into two groups (upper and lower) based on their scores on a self-regulated learning questionnaire. Their digital behaviors were compared across four areas: (a) task completion scores; (b) strategy…
Descriptors: Self Management, Educational Technology, Technology Uses in Education, Student Behavior
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Jiarui Hou; James F. Lee; Stephen Doherty – Journal of Computer Assisted Learning, 2025
Background: Recent research has demonstrated the potential of mobile-assisted learning to enhance learners' learning outcomes. In contrast, the learning processes in this regard are much less explored using eye tracking technology. Objective: This systematic review study aims to synthesise the relevant work to reflect the current state of eye…
Descriptors: State of the Art Reviews, Eye Movements, Electronic Learning, Handheld Devices
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Sima Khezrlou – Computer Assisted Language Learning, 2024
This study investigated whether repetitions of a wiki-mediated collaborative writing task with the intervention of consciousness-raising could enhance learners' attention to past-counterfactual conditional in English and their explicit and implicit knowledge development. Sixty learners worked in pairs to complete the same essay-writing task four…
Descriptors: Task Analysis, Collaborative Writing, Knowledge Level, Repetition
Sharyn Livy – Mathematics Education Research Group of Australasia, 2024
Technology can play a pivotal role in mathematics education. Qualitative methods were used to report on how a Year 1-2 teacher incorporated "Conveyance technology" (iPads), to support the teaching and learning of mathematics through student reasoning and problem-solving. The study was conducted in Australia. A single case was chosen,…
Descriptors: Mathematics Skills, Mathematics Instruction, Thinking Skills, Educational Technology
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Branko Andic; Mirjana Maricic; Filiz Mumcu; Theodosia Prodromou; Janika Leoste; Musa Saimon; Zsolt Lavicza – Smart Learning Environments, 2024
Educational Robotics (ER) has emerged as one of the tools to improve STEM learning in primary education if students are properly instructed. However, there is a lack of studies that guide teachers on which type of instruction should be used for ER in STEM between direct (DI) and indirect instruction (II). As a result, the present study aims to…
Descriptors: Direct Instruction, Educational Technology, Robotics, Task Analysis
Gloria Ashiya Katuka – ProQuest LLC, 2024
Dialogue act (DA) classification plays an important role in understanding, interpreting and modeling dialogue. Dialogue acts (DAs) represent the intended meaning of an utterance, which is associated with the illocutionary force (or the speaker's intention), such as greetings, questions, requests, statements, and agreements. In natural language…
Descriptors: Dialogs (Language), Classification, Intention, Natural Language Processing