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Parhizkar, Amirmohammad; Tejeddin, Golnaz; Khatibi, Toktam – Education and Information Technologies, 2023
Increasing productivity in educational systems is of great importance. Researchers are keen to predict the academic performance of students; this is done to enhance the overall productivity of educational system by effectively identifying students whose performance is below average. This universal concern has been combined with data science…
Descriptors: Algorithms, Grade Point Average, Interdisciplinary Approach, Prediction
Huiyu Zhang; Linda Fang – Educational Media International, 2023
In Temasek Polytechnic, Singapore, several AI chatbots acting as digital teaching assistants were trialed between July 2021 and August 2022. As these were developed for different purposes, it is important to learn if these AI chatbots help achieve the desired learning outcomes. This paper focuses on lessons learnt from three chatbots designed for…
Descriptors: Foreign Countries, Artificial Intelligence, Asynchronous Communication, Teaching Assistants
Karrie A. Shogren; Valerie L. Mazzotti; Tyler A. Hicks; Sheida K. Raley; Daria Gerasimova; Jesse R. Pace; Stephen M. Kwiatek; Darcy Fredrick; Jared H. Stewart-Ginsburg; Richard Chapman; Danielle Wysenski – Career Development and Transition for Exceptional Individuals, 2024
Promoting self-determination is essential to effective transition services and supports. The Goal Setting Challenge App (GSC App) was developed to deliver self-determination instruction via technology, building on the evidence-based Self-Determined Learning Model of Instruction (SDLMI). This article presents data on goal attainment outcomes for…
Descriptors: Goal Orientation, COVID-19, Pandemics, Computer Software
Lixuan Sun; Adelina Asmawi; Hui Dong; Xiaotian Zhang – Education and Information Technologies, 2024
Amidst the challenges posed by the Covid-19 pandemic, this study investigates the impact of Problem-based Language Learning (PBLL) using DingTalk on enhancing Business English Writing skills among Chinese undergraduates. Employing a mixed-method approach, the research involved two phases. In the quantitative phase, a twelve-week quasi-experimental…
Descriptors: Undergraduate Students, Business English, English for Special Purposes, Second Language Learning
Cheryl A. Vamos; Joseph A. Puccio; Stacey B. Griner; Rachel G. Logan; Rumour Piepenbrink; Morgan Richardson Cayama; Sharonda M. Lovett; Helen Mahony; Ellen M. Daley – Journal of American College Health, 2024
Objective: To explore health literacy needs and preferences for a technology-based intervention (app) to improve sexual and reproductive health (SRH) among college students. Participants: In Spring 2019, in-depth interviews were conducted with 20 participants (10 male, 10 female) from a large, public university. Methods: Interview guide was…
Descriptors: College Students, Sexually Transmitted Diseases, Sex Education, Health Education
Nurul Aini; Iwan Kurniarahman; Utami Widiati; Bambang Yudi Cahyono; Yazid Basthomi – Issues in Educational Research, 2024
Our research investigated the integration of artificial intelligence in education (AIEd), focusing on Indonesian university students' perspectives. A quantitative survey design was based on the Technology Acceptance Model (TAM), a framework focused on perceived usefulness, modified by adding items related to affective aspects: interest, needs,…
Descriptors: Student Attitudes, English (Second Language), Second Language Learning, Artificial Intelligence
Ting-Chia Hsu; Ching Chang; Tien-Hsiu Jen – Interactive Learning Environments, 2024
Young learners' vocabulary learning needs interaction with language input when they are engaged in an activity. Given that AI-supported image recognition technologies offer hands-on learning in authentic contexts, and that self-regulated learning (SRL) enables learners to monitor and evaluate their learning when interacting with multi-sensory…
Descriptors: Metacognition, Multisensory Learning, Vocabulary Development, Learning Strategies
Preeti Bhaskar; Puneet Kumar Gupta – Interactive Technology and Smart Education, 2024
Purpose: This study aims to delve into the perspectives of educators on integrating ChatGPT, an AI language model into management education. In the current research, educators were asked to talk as widely as possible about the perceived benefits, limitations of ChatGPT in management education and strategies to improve ChatGPT for management…
Descriptors: Teacher Attitudes, Artificial Intelligence, Computer Software, Synchronous Communication
Tory Thorkelson – MEXTESOL Journal, 2024
The COVID-19 pandemic forced institutions, faculty, and students to use emergency remote teaching (ERT) in the early stages of 2020. All educational levels, as well as schools and universities around the world, were affected. Although ERT and online education are not necessarily synonymous (see Thorkelson, 2021), most classes were delivered…
Descriptors: Pandemics, COVID-19, Educational Needs, Educational Change
Dana Kube; Sebastian Gombert; Brigitte Suter; Joshua Weidlich; Karel Kreijns; Hendrik Drachsler – Journal of Computer Assisted Learning, 2024
Background: Gender stereotypes about women and men are prevalent in computer science (CS). The study's goal was to investigate the role of gender bias in computer-supported collaborative learning (CSCL) in a CS context by elaborating on gendered experiences in the perception of individual and team performance in mixed-gender teams in a hackathon.…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Gender Issues, Learning Activities
Leigh Jin; Tai-Yin Chi; Brenda Mak – Journal of Information Systems Education, 2024
This paper presents the Screencast-Based Assessment Technique (SBAT) for a mobile app development curriculum in the information systems discipline. SBAT was implemented as a midterm take-home exam in which students design and develop an app project based on their own interests, passions, or ambitions. In addition to coding, students must create…
Descriptors: Technology Uses in Education, Computer Oriented Programs, Handheld Devices, Computer Software
Danielle J. Malone; J. B. Firestone; J. A. Morrison; S. N. Newcomer; L. K. Lightner – Science Activities: Projects and Curriculum Ideas in STEM Classrooms, 2024
This paper describes the integration of geographic information system (GIS) technology in a high school environmental science classroom, specifically examining the impact of GIS technology on student engagement, critical thinking, and interdisciplinary learning for Education for Sustainability (EfS). This environmental science classroom utilized…
Descriptors: Sustainability, Environmental Education, Geographic Information Systems, High Schools
Samsul Arifin; Joko Nurkamto; Dewi Rochsantiningsih; Gunarhadi – rEFLections, 2024
The shift from online to offline learning during the post-COVID-19 pandemic prevents pre-service EFL teachers from producing spontaneous oral utterances due to speaking anxiety. The article aims to determine the most preferential strategies that effectively cover speaking anxiety and identify a significant variation among the strategies. To meet…
Descriptors: Speech Communication, Anxiety, English (Second Language), Second Language Instruction
Andreja Istenic – Discover Education, 2024
Blended learning sets solid foundations for the utilization of educational technology in authentic student learning experiences within traditional educational contexts as well as in distance education. The author introduces an integrated and distributed model of blended learning, utilizing educational technology for authentic student learning…
Descriptors: Blended Learning, Teaching Methods, Higher Education, Models
Asnawi Muslem; Faisal Mustafa; Ruhul Reffina Rahayu; Eridafithri – Electronic Journal of e-Learning, 2024
Google Classroom has been frequently used as an e-learning platform to substitute for Learning Management System (LMS), and the use of its features (Classwork, Stream, People, etc.) varies among teachers with different goals, focuses, and familiarity. However, research has not addressed how the selection of Google Classroom features affects…
Descriptors: Computer Software, Virtual Classrooms, Teaching Methods, English (Second Language)

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