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Yuan Liu; Yongquan Dong; Chan Yin; Cheng Chen; Rui Jia – Education and Information Technologies, 2024
The open online course (MOOC) platform has seen an increase in usage, and there are a growing number of courses accessible for people to select. An effective method is urgently needed to recommend personalized courses for users. Although the existing course recommendation models consider that users' interests change over time, they often model…
Descriptors: MOOCs, Online Courses, Models, Course Selection (Students)
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Timothy Gallagher; Bert Slof; Marieke van der Schaaf; Michaela Arztmann; Sofia Garcia Fracaro; Liesbeth Kester – Journal of Computer Assisted Learning, 2024
Background: Learning analytics dashboards are increasingly being used to communicate feedback to learners. However, little is known about learner preferences for dashboard designs and how they differ depending on the self-regulated learning (SRL) phases the dashboards are presented (i.e., forethought, performance, and self-reflection phases) and…
Descriptors: Learning Analytics, Experiential Learning, Individualized Instruction, Computer System Design
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Jyoti Prakash Meher; Rajib Mall – IEEE Transactions on Education, 2025
Contribution: This article suggests a novel method for diagnosing a learner's cognitive proficiency using deep neural networks (DNNs) based on her answers to a series of questions. The outcome of the forecast can be used for adaptive assistance. Background: Often a learner spends considerable amounts of time in attempting questions on the concepts…
Descriptors: Cognitive Ability, Assistive Technology, Adaptive Testing, Computer Assisted Testing
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Paraskevi Topali; Ruth Cobos; Unai Agirre-Uribarren; Alejandra Martínez-Monés; Sara Villagrá-Sobrino – Journal of Computer Assisted Learning, 2024
Background: Personalised and timely feedback in massive open online courses (MOOCs) is hindered due to the large scale and diverse needs of learners. Learning analytics (LA) can support scalable interventions, however they often lack pedagogical and contextual grounding. Previous research claimed that a human-centred approach in the design of LA…
Descriptors: Learning Analytics, MOOCs, Feedback (Response), Intervention
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Luiz Rodrigues; Guilherme Guerino; Thomaz E. V. Silva; Geiser C. Challco; Lívia Oliveira; Rodolfo S. da Penha; Rafael F. Melo; Thales Vieira; Marcelo Marinho; Valmir Macario; Ig I. Bittencourt; Diego Dermeval; Seiji Isotani – International Journal of Artificial Intelligence in Education, 2025
Intelligent Tutoring Systems (ITS) possess significant potential to enhance learning outcomes. However, deploying ITSs in global south countries presents challenges due to their frequent lack of essential technological resources, such as computers and internet access. The concept of AIED Unplugged has emerged to bridge this digital divide,…
Descriptors: Teacher Attitudes, Intelligent Tutoring Systems, Numeracy, Mathematics Education
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Sivaram Ponnusamy, Editor; Jilali Antari, Editor; Gwanggil Jeon, Editor; Mansour Assaf, Editor; Bhisham Sharma, Editor – IGI Global, 2025
Education is undergoing critical transformations driven by innovations in remote experimentation and learning analytics. As technology reshapes how we teach and learn, remote experimentation allows students to conduct hands-on, interactive experiments from anywhere in the world, breaking down geographical and resource-based barriers. This shift…
Descriptors: Educational Change, Educational Innovation, Distance Education, Hands on Science
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Oscar Yecid Aparicio-Gómez; Olga Lucia Ostos-Ortiz; Constanza Abadía-García – Journal of Technology and Science Education, 2024
In today's educational environment, the convergence of emerging technologies and active methodologies has become a fundamental driver of change in university education. Emerging technologies, such as artificial intelligence, virtual reality, machine learning, and data analytics, are redefining the dynamics of higher education. Active…
Descriptors: Technological Advancement, Technology Uses in Education, Higher Education, Problem Based Learning
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Jamal Eddine Rafiq; Abdelali Zakrani; Mohammed Amraouy; Said Nouh; Abdellah Bennane – Turkish Online Journal of Distance Education, 2025
The emergence of online learning has sparked increased interest in predicting learners' academic performance to enhance teaching effectiveness and personalized learning. In this context, we propose a complex model APPMLT-CBT which aims to predict learners' performance in online learning settings. This systemic model integrates cognitive, social,…
Descriptors: Models, Online Courses, Educational Improvement, Learning Processes
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Mingyu Feng; Natalie Brezack; Chunwei Huang; Melissa Lee; Megan Schneider; Kelly Collins; Wynnie Chan – Society for Research on Educational Effectiveness, 2024
Background/Context: Math education remains a critical focus for national education improvement. As a solution, districts in the U.S. are investing in math education technologies. Research has demonstrated the potential of these technologies to close achievement gaps (e.g., Pape et al., 2012; Roschelle et al., 2016). Student math achievement is…
Descriptors: Mathematics Education, Problem Solving, Educational Technology, Technology Uses in Education
Patricia J. Boland – ProQuest LLC, 2024
Required gateway courses in higher education present ongoing challenges to student persistence, retention, and degree completion. Adaptive learning technology (ALT) offers personalized support and generates learning analytics that can inform faculty teaching and course design practices. This qualitative case study examined faculty experiences with…
Descriptors: Learning Analytics, Educational Technology, Undergraduate Study, Teaching Methods
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Michael Sony; Kochu Therisa Beena Karingada – Journal of Applied Research in Higher Education, 2025
Purpose: Education 4.0 (E 4.0) represents a new paradigm in the field of education, which emphasizes a student-centric approach that allows learners to access education anytime, anywhere, tailored to their individual needs through modern-day technologies. The purpose of the study was to unearth the critical success factors (CSFs) essential for the…
Descriptors: Success, Educational Practices, Student Centered Learning, Technology Uses in Education
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Nachamma Sockalingam; Kenneth Lo; Judy Teo; Cheah Chin Wei; Danny Chow Jiun Jiet; Dorien Herremans; Melvin Lee Ming Jun; Oka Kurniawan; Yixiao Wang; Pey Kin Leong – Discover Education, 2025
Singapore University of Technology and Design (SUTD) is embarking on an educational innovation program called SUTD campusX to support its future of education. SUTD campusX aims to innovate new educational models, technology tools, and pedagogies for a new form of learning called "Cyber-Physical Learning", where the concept is that both…
Descriptors: Educational Trends, Educational Innovation, Educational Practices, Teaching Methods
Jechun An – ProQuest LLC, 2024
Students' responses to Word Dictation curriculum-based measurement (CBM) in writing tend to include a lot of missing values, especially items not reached due to the three-minute test time limit. A large amount of non-ignorable not-reached responses in Word Dictation can be considered using alternative item response theory (IRT) approaches. In…
Descriptors: Item Response Theory, Elementary School Students, Writing Difficulties, Writing Evaluation
Kathe Pelletier; Mark McCormack; Nicole Muscanell; Jamie Reeves; Jenay Robert; Nichole Arbino – EDUCAUSE, 2024
In the denouement of the COVID-19 pandemic, talk of a return to "normalcy" in higher education belies the great challenges and ongoing disruptions that yet lie ahead for many institutions. Public perceptions of the value of postsecondary education continue their downward slide, placing institutions in the position of having to…
Descriptors: Trend Analysis, Technology Uses in Education, Educational Technology, Artificial Intelligence