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Yaqian Zheng; Deliang Wang; Junjie Zhang; Yanyan Li; Yaping Xu; Yaqi Zhao; Yafeng Zheng – Education and Information Technologies, 2025
Generating personalized learning pathways for e-learners is a critical issue in the field of e-learning as it plays a pivotal role in guiding learners towards the successful achievement of their learning objectives. The existing literature has proposed various methods from different perspectives to address this issue, including learner-based,…
Descriptors: Individualized Instruction, Electronic Learning, Academic Achievement, Student Educational Objectives
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Fatima Rahioui; Mohammed Ali Tahri Jouti; Mohammed El Ghzaoui – Journal of Educators Online, 2024
Artificial intelligence (AI) is now affecting all aspects of our social lives. Without always knowing it, we interact daily with intelligent systems. They serve us invisibly. At least that is the goal we assign to them: to make our lives better, task by task. Artificial intelligence has the potential to make biology education more engaging,…
Descriptors: Artificial Intelligence, Biological Sciences, Scientific Concepts, Technology Integration
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Morakinyo Akintolu; Akinpelu A. Oyekunle – Journal of Educators Online, 2025
This paper provides a comprehensive overview of the research on the application of artificial intelligence (AI) in primary education to explore its potential to enhance teaching and learning processes. Through a systematic review of the relevant literature, this study identifies key areas in which AI can significantly impact primary education and…
Descriptors: Data Analysis, Learning Analytics, Artificial Intelligence, Computer Software
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Pardo, Abelardo; Jovanovic, Jelena; Dawson, Shane; Gaševic, Dragan; Mirriahi, Negin – British Journal of Educational Technology, 2019
There is little debate regarding the importance of student feedback for improving the learning process. However, there remain significant workload barriers for instructors that impede their capacity to provide timely and meaningful feedback. The increasing role technology is playing in the education space may provide novel solutions to this…
Descriptors: Learning, Data Analysis, Feedback (Response), Technology Uses in Education
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Yang, Qiang – Asian Journal of Contemporary Education, 2019
In this paper, the learning process is digitally tracked and recorded, with regard to learning evolves into data-intensive learning. Also, the number and scale of data are long and the resources are heterogeneous, and the information resources are not abundant, causing users to be lost. In the process of clean information, seeking information…
Descriptors: Learning Processes, Data Analysis, Recordkeeping, Information Seeking
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Eagle, Michael; Corbett, Albert; Stamper, John; Mclaren, Bruce – International Educational Data Mining Society, 2018
In this work we use prior to tutor-session data to generate an individualized student knowledge model. Intelligent learning environments use student models to individualize curriculum sequencing and help messages. Researchers decompose the learning tasks into sets of Knowledge Components (KCs) that represent individual units of knowledge; the…
Descriptors: Individualized Instruction, Models, Data Analysis, Knowledge Level
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Chen, Xieling; Zou, Di; Xie, Haoran; Cheng, Gary – Educational Technology & Society, 2021
Personalized language learning (PLL), a popular approach to precision language education, plays an increasingly essential role in effective language education to meet diverse learner needs and expectations. Research on PLL has become an active sub-field of research on technology-enhanced language learning and artificial intelligence applications…
Descriptors: Second Language Learning, Second Language Instruction, Individualized Instruction, Trend Analysis
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Datnow, Amanda; Choi, Bailey; Park, Vicki; St. John, Elise – Teachers College Record, 2018
Background: Data-driven decision making continues to be a common feature of educational reform agendas across the globe. In many U.S. schools, the teacher team meeting is a key setting in which data use is intended to take place, with the aim of planning instruction to address students' needs. However, most prior research has not examined how the…
Descriptors: Teacher Attitudes, Data, Decision Making, Accountability
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Beemer, Joshua; Spoon, Kelly; Fan, Juanjuan; Stronach, Jeanne; Frazee, James P.; Bohonak, Andrew J.; Levine, Richard A. – Journal of Statistics Education, 2018
Estimating the efficacy of different instructional modalities, techniques, and interventions is challenging because teaching style covaries with instructor, and the typical student only takes a course once. We introduce the individualized treatment effect (ITE) from analyses of personalized medicine as a means to quantify individual student…
Descriptors: Learning Modalities, Academic Achievement, Intervention, Educational Research
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Duquette, Cheryll – Journal of Research in Special Educational Needs, 2016
The purpose of this research was to examine the experiences of four pre-service teachers (PSTs) implementing differentiated instruction (DI) using action research. During a practicum, the participants recorded data about their use of DI and took part in collaborative reflective discussions with a professor. The data were analysed inductively. It…
Descriptors: Inclusion, Preservice Teachers, Individualized Instruction, Action Research
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Ankrum, Julie; Genest, Maria; Morewood, Aimee – Journal of Research in Childhood Education, 2017
The purpose of this article is to provide a description of contrasting discourse patterns during small-group reading instruction. The authors report on case studies conducted in two 1st-grade classrooms in different school districts in Pennsylvania. Small-group reading instruction was observed over the course of one year in each classroom, and…
Descriptors: Discourse Analysis, Individualized Instruction, Reading Instruction, Small Group Instruction
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Spoon, Kelly; Beemer, Joshua; Whitmer, John C.; Fan, Juanjuan; Frazee, James P.; Stronach, Jeanne; Bohonak, Andrew J.; Levine, Richard A. – Journal of Educational Data Mining, 2016
Random forests are presented as an analytics foundation for educational data mining tasks. The focus is on course- and program-level analytics including evaluating pedagogical approaches and interventions and identifying and characterizing at-risk students. As part of this development, the concept of individualized treatment effects (ITE) is…
Descriptors: Data Analysis, Individualized Instruction, Teaching Methods, Intervention
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Duquette, Cheryll; Dabrowski, Leah – McGill Journal of Education, 2016
The purpose of this study was to explore the experiences of four preservice teachers who used classroom inquiry and reflection to solve problems when implementing differentiated instruction in elementary classrooms during a practicum. Data from classroom observations, individual reflections, and discussions with a teacher educator were analyzed…
Descriptors: Foreign Countries, Preservice Teachers, Inquiry, Active Learning
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Gilson, Cindy M.; Little, Catherine A. – Journal of Advanced Academics, 2016
Asking questions that invite students to access advanced thinking skills during classroom discourse is a key strategy for challenging and supporting high-ability middle school readers. This critical teaching practice requires careful teacher listening. However, empirical research around teachers' "listening orientations," or how teachers…
Descriptors: Middle School Teachers, Reading Teachers, Listening Skills, Enrichment Activities
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Mikulec, Erin; Herrmann, Adam – Teaching Education, 2016
This paper examines how a clinical experience in an alternative educational setting impacted both pre-service secondary teachers and the students with whom they worked. The participants were pre-service secondary teachers completing a clinical experience at a local agency that served a population of students for whom traditional school settings…
Descriptors: Nontraditional Education, Preservice Teachers, Secondary School Teachers, Secondary School Students
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