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Hongwen Guo; Matthew S. Johnson; Kadriye Ercikan; Luis Saldivia; Michelle Worthington – Journal of Learning Analytics, 2024
Large-scale assessments play a key role in education: educators and stakeholders need to know what students know and can do, so that they can be prepared for education policies and interventions in teaching and learning. However, a score from the assessment may not be enough--educators need to know why students got low scores, how students engaged…
Descriptors: Artificial Intelligence, Learning Analytics, Learning Management Systems, Measurement
Hannah Hogarth; Charlotte Hankin – Australian Journal of Environmental Education, 2024
We are the living. We find ourselves in a mess that is sometimes called the 'Anthropocene'. This is a mess that has been hidden, ignored, neglected through a narrative of progress, consumption, linearity, categorisation, control, prosperity, rationality. To respond to this narrative, we employ 'mess-making' as a force for resistance. We rethink…
Descriptors: Environmental Education, Educational Research, Resistance (Psychology), Animals
Alazne Fernández Ortube; Ernesto Panadero; Charlotte Dignath – Educational Psychology Review, 2024
Self-regulated learning (SRL) is a key competence for pre-service teachers to develop, both for their own activities as learners and for their future activities as teachers. Therefore, it is crucial to understand how pre-service teachers can be supported in acquiring SRL competence in their initial training. To reach this aim, we conducted a…
Descriptors: Metacognition, Preservice Teachers, Teacher Education Programs, Teaching Methods
Lim Seong Pek; Hafizah Kusnek Khusni; Fatin Syamilah Che Yob; Najimi Najiha Mohd Zaid; Khairul Firdaus Ne’matullah; Rita Wong Mee Mee; Nur Syafiqah Saiful Azli – Journal of Education and Learning (EduLearn), 2024
The rapid advancement of technology in recent years has brought about profound changes in every aspect of our lives. Such technological advancement has impacted children in a digital age where technology permeates every facet of their existence, from education to entertainment and communication to socialization. The younger generations today…
Descriptors: Literacy, Skill Development, Informal Education, Literature Reviews
Abdessamad Chanaa; Nour-eddine El Faddouli – Journal of Education and Learning (EduLearn), 2024
Adaptive online learning can be realized through the evaluation of the learning process. Monitoring and supervising learners' cognitive levels and adjusting learning strategies can increasingly improve the quality of online learning. This analysis is made possible by real-time measurement of learners' cognitive levels during the online learning…
Descriptors: Electronic Learning, Evaluation Methods, Artificial Intelligence, Taxonomy
Jobin Jose; Alice Joselph; Pratheesh Abraham; Roshna Varghese; Beenamole T.; Sony Mary Varghese; Suby Elizabeth Oommen – Online Submission, 2024
As a major shift in education technologies, Adaptive Learning Systems (ALS) use artificial intelligence and similar technologies, adapting the lessons to the needs of individual students. Emphasizing transformative pedagogy and teaching strategies that transform the learners' cognitive and interactive patterns, this study presents a comprehensive…
Descriptors: Transformative Learning, Bibliometrics, Trend Analysis, Artificial Intelligence
Moises Esteban-Guitart; James Gee – Learning: Research and Practice, 2024
This article explores the idea that learning can be best understood as a life project. This entails recognition that socio-experiential (being), cognitive (knowing) and behavioural (doing) dimension are crucial, and that the future is of central importance -- more than the past -- in teaching and learning processes. Based on the concepts of…
Descriptors: Lifelong Learning, Self Concept, Art Education, English (Second Language)
Eva Viviani; Michael Ramscar; Elizabeth Wonnacott – Cognitive Science, 2024
Ramscar, Yarlett, Dye, Denny, and Thorpe (2010) showed how, consistent with the predictions of error-driven learning models, the order in which stimuli are presented in training can affect category learning. Specifically, learners exposed to artificial language input where objects preceded their labels learned the discriminating features of…
Descriptors: Symbolic Learning, Learning Processes, Artificial Intelligence, Prediction
Shaohang Liu; Wenbo Zhao; David R. Shanks; Xiao Hu; Liang Luo; Chunliang Yang – Educational Psychology Review, 2024
Practice testing (i.e., practice retrieval) has been established as an effective learning strategy. Uncovering potential factors influencing self-testing usage is a prerequisite to promote its practical use. The present study reports five experiments exploring whether test anxiety (TA) and test stake (1) affect self-testing usage (Experiments 1-5)…
Descriptors: Test Anxiety, Self Evaluation (Individuals), Learning Processes, Testing
Anna Hoffmann; Ruhama Even – Journal of Mathematics Teacher Education, 2024
This study investigates what mathematicians, who teach academic mathematics courses to secondary school mathematics teachers, want to teach them about the discipline of mathematics. Data sources included interviews with five research mathematicians. The data analysis revealed that expanding teachers' knowledge about the discipline of mathematics…
Descriptors: Mathematics Teachers, Mathematics Instruction, Secondary School Teachers, Teaching Methods
Aysegül Büyükkarci; Erdal Taslidere – Education and Information Technologies, 2024
This study investigates the effect of 5E learning model enriched with coding (5EC), gender and their interaction on 4th grade students' mathematics achievements and permanence of their learning. It also examines the effect of the 5EC on participants' attitudes towards mathematics. The study group consists of 119 students. Mathematics achievement…
Descriptors: Elementary School Mathematics, Learning Processes, Models, Elementary School Students
Seda Özer Sanal; Fulya Torun – Journal of Visual Literacy, 2024
This study examined the individual and collaborative infographic development processes of middle school students in a qualitative research context. In the first phase, individual and collaborative infographics were developed, a simultaneous think-aloud protocol and interviews were conducted. In the second phase, focus group interviews were…
Descriptors: Visual Aids, Cognitive Processes, Cooperative Learning, Student Attitudes
Lisa A. Giacumo – TechTrends: Linking Research and Practice to Improve Learning, 2024
The purpose of this article is to investigate how to use a strengths-based lens that is highly contextualized, in an ecology (i.e., online graduate course) that shows the value of the socio-emotional interactions or climate. I used an autoethnographic approach to problematize myself so that I could ask contemplative questions as a result of…
Descriptors: Introductory Courses, Instructional Design, Graduate Study, Ethnography
Yazid Albadarin; Mohammed Saqr; Nicolas Pope; Markku Tukiainen – Discover Education, 2024
Over the last four decades, studies have investigated the incorporation of Artificial Intelligence (AI) into education. A recent prominent AI-powered technology that has impacted the education sector is ChatGPT. This article provides a systematic review of 14 empirical studies incorporating ChatGPT into various educational settings, published in…
Descriptors: Artificial Intelligence, Computer Software, Research Reports, Meta Analysis
Elina Malleus; Grete Arro; Triinu Jesmin; Esta Kaal; Mihkel Kangur; Arko Olesk; Liisa Puusepp; Jaanus Terasmaa; Terje Väljataga – Environmental Education Research, 2024
When teaching about complex phenomena (e.g. concepts related to the natural environment), good quality questioning could lead to a more profound conceptual change. However, asking questions that help students to construct new knowledge is a challenge for many educators. To help promote better questioning, we analyzed the kind of questions (N =…
Descriptors: Environmental Education, Concept Formation, Attitude Change, Questioning Techniques