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Ashraf, Erum; Manickam, Selvakumar; Karuppayah, Shankar; Malik, Sufiana Khatoon – Journal of Educators Online, 2023
As the drive to move from traditional face-to-face classroom learning to e-learning is ever in demand, the knowledge corpus exposed to students can be overwhelming because there is a need to automate certain functions of the e-learning framework. One of these functions is the course recommendation feature. Course recommendations help students save…
Descriptors: Electronic Learning, Cognitive Style, Student Behavior, Course Selection (Students)
Zayet, Tasnim M. A.; Ismail, Maizatul Akmar; Almadi, Sara H. S.; Zawia, Jamallah Mohammed Hussein; Mohamad Nor, Azmawaty – Education and Information Technologies, 2023
Online learning has significantly expanded along with the spread of the coronavirus disease (COVID-19). Personalization becomes an essential component of learning systems due to students' different learning styles and abilities. Recommending materials that meet the needs and are tailored to learners' styles and abilities is necessary to ensure a…
Descriptors: Electronic Learning, Individualized Instruction, Artificial Intelligence, Cognitive Style
Padhi, Lili Kumari; Mishra, Deepanjali – International Journal of Web-Based Learning and Teaching Technologies, 2020
This article describes how every learner is a unique creative individual responsible for paving his/her own way of learning in a preclusion of external restraints. Learners apply a bunch of idiosyncratic means to segue the information into knowledge. The various implications of such manipulated formulation by the learners implies strategic…
Descriptors: Learning Strategies, Cognitive Style, Self Determination, Perception
Artemisa R. Dores; Marina Letica-Crepulja; Regina A. Silva – Open Education Studies, 2024
Many professionals are confronted in their practice with clients who show post-traumatic symptoms (PTS). "Trauma-informed practice" helps professionals recognize, understand, and appropriately respond to the effects of trauma. This work presents the "Trauma-Informed Practice for Workers in Public Service Settings" -- TIPS…
Descriptors: Trauma Informed Approach, Public Service Occupations, Employees, Posttraumatic Stress Disorder
Monterubbiano, Lucio; Moroni, Chiara – International Association for Development of the Information Society, 2022
The paper presents a system of emotions and attention analysis during e-learning multimedia contents consumption. The paper wants to explore the possible connections between facial expressions and user engagement while consuming multimedia e-learning courses such as tutorials, on-line quizzes and learning games. If a relevant connection emerges we…
Descriptors: Artificial Intelligence, Emotional Experience, Psychological Patterns, Learner Engagement
Lin, Lin; Barber, Krystal A. – Excelsior: Leadership in Teaching and Learning, 2022
This paper outlines instructional strategies and course projects that demonstrate multiple means of engagement, representation, action, and expression, the essential principles of the Universal Design for Learning (UDL). The authors first share specific practices and examples related to each of the essential principles of UDL. Next, three projects…
Descriptors: Learner Engagement, Access to Education, Teaching Methods, Preservice Teacher Education
Wang, Jiahui – Journal of Technology and Teacher Education, 2022
Teacher educators use various measures to gauge pre-service teachers' knowledge, skills, and attitudes, including behavioral measures, self-report questionnaires, and interviews. These measures often fail to capture the granularities of the teaching and learning processes. As such, there has been a burgeoning and recent interest in the use of…
Descriptors: Eye Movements, Measurement Equipment, Preservice Teacher Education, Preservice Teachers
Kaufmann, Daniel; Smith, DNetra; Barnes, Janet; Lawrence, Joan; Young, Jennifer; Land, Christy; Guy, Tanisha; Krzewski, Elizabeth – Journal of Instructional Research, 2021
The online environment provides a unique opportunity for students from wide-ranging locations to participate in academic activities to develop collegial abilities or vocational skills. The training process for working in the counseling field consists of graduate level learning pertaining to mental health issues, self-exploration, ethical and moral…
Descriptors: Counselor Training, Asynchronous Communication, Educational Environment, Electronic Learning
Kostolanyova, Katerina; Nedbalova, Stepanka – International Journal of Distance Education Technologies, 2017
Lifelong learning has become an essential part of each profession. For this reason, personalized and adaptive learning has been drawing attention of professionals in the field of formal as well as informal education in the last few years. The effort has been made to design adaptive study supports regarding students' requirements, abilities and…
Descriptors: Individualized Instruction, Second Language Instruction, Electronic Learning, Instructional Design
Alhasan, Khawla; Chen, Liming; Chen, Feng – International Association for Development of the Information Society, 2017
Various learners with various requirements have led to the raise of a crucial concern in the area of e-learning. A new technology for propagating learning to learners worldwide, has led to an evolution in the e-learning industry that takes into account all the requirements of the learning process. In spite of the wide growing, the e-learning…
Descriptors: Semantics, Models, Cognitive Style, Electronic Learning
Kolekar, Sucheta V.; Pai, Radhika M.; M. M., Manohara Pai – Education and Information Technologies, 2019
The term Adaptive E-learning System (AES) refers to the set of techniques and approaches that are combined together to offer online courses to the learners with the aim of providing customized resources and interfaces. Most of these systems focus on adaptive contents which are generated to the learners without considering the learning styles of…
Descriptors: Computer Interfaces, Computer Assisted Instruction, Electronic Learning, Online Courses
Sabitha, A. Sai; Mehrotra, Deepti; Bansal, Abhay – Education and Information Technologies, 2016
e-Learning industry is rapidly changing and the current learning trends are based on personalized, social and mobile learning, content reusability, cloud-based and talent management. The learning systems have attained a significant growth catering to the needs of a wide range of learners, having different approaches and styles of learning. Objects…
Descriptors: Multivariate Analysis, Electronic Learning, Cognitive Style, Knowledge Management
Abuhamdieh, Ayman H.; Harder, Joseph T. – Contemporary Issues in Education Research, 2015
This paper proposes a meta-cognitive, systems-based, information structuring model (McSIS) to systematize online information search behavior based on literature review of information-seeking models. The General Systems Theory's (GST) prepositions serve as its framework. Factors influencing information-seekers, such as the individual learning…
Descriptors: Online Searching, Systems Approach, Metacognition, Models
Czerkawski, Betul C. – Online Journal of Distance Learning Administration, 2015
While student data systems are nothing new and most educators have been dealing with student data for many years, learning analytics has emerged as a new concept to capture educational big data. Learning analytics is about better understanding of the learning and teaching process and interpreting student data to improve their success and learning…
Descriptors: Electronic Learning, Data, Data Analysis, Learning Processes
Kostolányová, Katerina; Šarmanová, Jana – Electronic Journal of e-Learning, 2014
Personalised education is a topical matter today and the impact of ICT on education has been covered extensively. The adaptation of education to various types of student is an issue of a vast number of papers presented at diverse conferences. The topic incorporates the fields of information technologies and eLearning, but in no small part also the…
Descriptors: Electronic Learning, Individualized Instruction, Preferences, Cognitive Style