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A robust classification to predict learning styles in adaptive E-learning systems
8 references·3 citing·31 second hop
A robust classification to predict learning styles in adaptive E-learning systems (2019)A robust classification to predict learni…Automatic detection of learning styles: state of the art (2014)Automatic detection of learni…Adaptivity in learning management systems focussing on learning styles (2007)Adaptivity in learning manage…Learning styles' recognition in e‐learning environments with feed‐forward neural networks (2006)Learning styles' recognition …Applications, Reliability and Validity of the Index of Learning Styles* (2005)Applications, Reliability and…Should we be using Learning Styles? What research has to say to practice (2004)Should we be using Learning S…Student Approaches to Learning and Studying (1987)Student Approaches to Learnin…Frames of Mind: The Theory of Multiple Intelligences (1984)Frames of Mind: The Theory of…Experiential Learning : Experience as the Source of Learning and Development (1983)Experiential Learning : Exper…Determining Ergonomic Appraisal Factors Affecting the Learning Motivation and Academic Performance of Students during Online Classes (2023)Determining Ergonomic Apprais…Simulations to Teach Science Subjects: Connections Among Students’ Engagement, Self-Confidence, Satisfaction, and Learning Styles (2022)Simulations to Teach Science …Differentiating the learning styles of college students in different disciplines in a college English blended learning setting (2021)Differentiating the learning …Mbti Manual: A Guide to the Development and Use of the Myers-briggs Type Indicator (1985)Learning and Teaching Styles in Engineering Education. (1988)Detecting students' perception style by using games (2013)Learning style Identifier: Improving the precision of learning style identification through computational intelligence algorithms (2017)The measurement of psychological androgyny. (1974)Architecture of Cognition (1983)The learning effects of computer simulations in science education (2011)Perspectives on Thinking, Learning, and Cognitive Styles (2014)The impact of e-learning, gender-groupings and learning pedagogies in biology undergraduate female and male students’ attitudes and achievement (2022)Student Acceptance Study of PhET Simulation with an Expanded Technology Acceptance Model Approach (2023)What the Student Does: teaching for enhanced learning (1999)The revised two‐factor Study Process Questionnaire: R‐SPQ‐2F (2001)Facilitating Cognitive Presence in Online Learning: Interaction Is Not Enough (2005)Interactive whiteboards: boon or bandwagon? A critical review of the literature (2005)The undergraduate experience of blended e-learning: a review of UK literature and practice (2006)The Scientific Status of Learning Styles Theories (2015)A fuzzy classification approach for learning style prediction based on web mining technique in e-learning environments (2018)The Classroom of the Future: Disrupting the Concept of Contemporary Business Education (2018)Ensemble Learning Using Fuzzy Weights to Improve Learning Style Identification for Adapted Instructional Routines (2020)Learning Styles and Learning Spaces: Enhancing Experiential Learning in Higher Education (2005)Why Minimal Guidance During Instruction Does Not Work: An Analysis of the Failure of Constructivist, Discovery, Problem-Based, Experiential, and Inquiry-Based Teaching (2006)The ‘digital natives’ debate: A critical review of the evidence (2008)Narrative configuration in qualitative analysis (1995)Development and validation of a measure of emotional intelligence (1998)Individual differences in reasoning: Implications for the rationality debate? (2000)In-Depth Analysis of the Felder-Silverman Learning Style Dimensions (2007)Individualising gamification: An investigation of the impact of learning styles and personality traits on the efficacy of gamification using a prediction market (2016)Inclination towards entrepreneurship among university students: an empirical study of Malaysian university students (2024)Coping with mismatched courses: students’ behaviour and performance in courses mismatched to their learning styles (2009)Learner Differences in Perceived Satisfaction of an Online Learning: an Extension to the Technology Acceptance Model in an Arabic Sample (2015)The Effect of Universal Design for Learning (UDL) Application on E-learning Acceptance: A Structural Equation Model (2017)
this work references cited by second hop

References

  • 1983Experiential Learning : Experience as the Source of Learning and Development33,193 cited
  • 1984Frames of Mind: The Theory of Multiple Intelligences13,636 cited
  • 1987Student Approaches to Learning and Studying2,138 cited
  • 2005Applications, Reliability and Validity of the Index of Learning Styles*1,204 cited
  • 2004Should we be using Learning Styles? What research has to say to practice442 cited
  • 2006Learning styles' recognition in e‐learning environments with feed‐forward neural networks140 cited
  • 2014Automatic detection of learning styles: state of the art138 cited
  • 2007Adaptivity in learning management systems focussing on learning styles138 cited

Cited by

  • 2022Simulations to Teach Science Subjects: Connections Among Students’ Engagement, Self-Confidence, Satisfaction, and Learning Styles89 cited
  • 2021Differentiating the learning styles of college students in different disciplines in a college English blended learning setting62 cited
  • 2023Determining Ergonomic Appraisal Factors Affecting the Learning Motivation and Academic Performance of Students during Online Classes58 cited

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