(DOC) MODULAR DISTANCE LEARNING MODALITY IN TEACHING SCIENCE AND
(PDF) Modalities of Learning Assessment in the Context of COVID-19 (A
(PDF) Modular distance learning modality: Challenges of teachers in
(PDF) IMPORTANCE OF LEARNING MODALITIES IN THE COMFORT OF SCHOOL
Teaching and learning styles research
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Four Types of Learning styles in Education
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PDF Impact of Learning Modalities on Academic Success
We shall refer to this modality in this paper using the term combined modes students. We were able to use 692 responses to the questionnaire, representing 24.31% of the total population. 406 were collected using a paper version of the questionnaire and 286 questionnaires were collected using the electronic version.
Exploring the impacts of learning modality changes: Validation of the
The Learning Modality Change CoI Scale can be used to measure the impacts of learning modality changes on students' perceptions of cognitive, social, and teaching presence. ... Murphy R. Learning online: What research tells us about whether, when and how. Routledge; 2014. [Google Scholar] Muthén, L. K., & Muthén, B. O. (1998-2012). Mplus ...
Exploring the impacts of learning modality changes ...
The rapid learning environment transition initiated by the COVID-19 pandemic impacted students' perception of, comfort with, and self-efficacy in the online learning environment. Garrison's Community of Inquiry framework provides a lens for examining students' online learning experiences through three interdependent elements: social presence, cognitive presence, and teaching presence ...
Learning Styles: Concepts and Evidence
The authors of the present review were charged with determining whether these practices are supported by scientific evidence. We concluded that any credible validation of learning-styles-based instruction requires robust documentation of a very particular type of experimental finding with several necessary criteria. First, students must be divided into groups on the basis of their learning ...
Blended learning: the new normal and emerging technologies
Blended learning and research issues. Blended learning (BL), or the integration of face-to-face and online instruction (Graham 2013), is widely adopted across higher education with some scholars referring to it as the "new traditional model" (Ross and Gage 2006, p. 167) or the "new normal" in course delivery (Norberg et al. 2011, p. 207).). However, tracking the accurate extent of its ...
Blended learning effectiveness: the relationship between student
Research design. This research applies a quantitative design where descriptive statistics are used for the student characteristics and design features data, t-tests for the age and gender variables to determine if they are significant in blended learning effectiveness and regression for predictors of blended learning effectiveness.
Modality preference and learning style theories: rethinking the role of
While a diverse range of learning styles have been proposed, modality preference has received the most attention within educational research and practice. Supporters of this theory posit that each individual has a dominant sense and that when new material is presented in this preferred modality, learning is improved.
Teaching and Learning Modalities in Higher Education During the
In the case of the online modality, we observed the highest scores in accessibility and knowledge in ICT but the worst score in participation. In this case, an average of 7.8 was reached. The blended learning modality reached an average of 8.1, obtaining scores around 7.5 and 9.3.
Effectiveness of online and blended learning from schools: A systematic
This systematic analysis examines effectiveness research on online and blended learning from schools, particularly relevant during the Covid-19 pandemic, and also educational games, computer-supported cooperative learning (CSCL) and computer-assisted instruction (CAI), largely used in schools but with potential for outside school.
Learning Styles: A Review of Theory, Application, and Best Practices
LEARNING STYLES. A benchmark definition of "learning styles" is "characteristic cognitive, effective, and psychosocial behaviors that serve as relatively stable indicators of how learners perceive, interact with, and respond to the learning environment. 10 Learning styles are considered by many to be one factor of success in higher education. . Confounding research and, in many instances ...
A Research Review of Literature on Learning Modalities
In this paper, the author examines both the history of learning modalities in reading instruction and contemporary research in using modalities to strengthen learning. He finds that while learning modality is an interesting concept, evidence regarding research questions about correlations between factors (i.e. cross-modal transfer, skill ...
Learning Styles and Preferred Learning Modalities in the New Normal
During the first semester of the Academic Year 2020-2021, this study sought to ascertain the various learning styles (visual, auditory, read/write, and kinesthetic) and preferred learning ...
Online and face‐to‐face learning: Evidence from students' performance
1.1. Related literature. Online learning is a form of distance education which mainly involves internet‐based education where courses are offered synchronously (i.e. live sessions online) and/or asynchronously (i.e. students access course materials online in their own time, which is associated with the more traditional distance education).
Research article The effectiveness of blended learning on students
1. Introduction. In the context of the rapidly developing scientific and technical revolution, the education and training sector has actively implemented tasks and solutions to enhance support management, teaching, learning, assessment, scientific research, and the application of information and communication technology (ICT) (Acosta et al., 2018; Baris, 2015; Bray and Tangney, 2017; Diabat ...
The effects of online education on academic success: A meta ...
The purpose of this study is to analyze the effect of online education, which has been extensively used on student achievement since the beginning of the pandemic. In line with this purpose, a meta-analysis of the related studies focusing on the effect of online education on students' academic achievement in several countries between the years 2010 and 2021 was carried out. Furthermore, this ...
Exploring Student and Teacher Experiences in Hybrid Learning ...
The global pandemic forced us to rethink education to fight Covid-19 and apply social distancing during lectures. Luckily, we could rely on earlier research into distance education in general, and more specifically, into synchronous hybrid learning. During synchronous hybrid learning both on-site and remote students are connected and taught synchronously in what we call at our university the ...
Modular Distance Learning: Its Effect in the Academic Performance of
The term "modular approach" refers to learning that takes the form of individualized instruction and allows students to use Self-Learning Modules (SLMs) in the print or advanced format/electronic ...
(PDF) HYBRID LEARNING IN HIGHER EDUCATION
modalities" (Kumar, 2012, p. 347). ... Perspectives on blended learning. Qualitative research was applied by interviewing 23 students and 27 teachers from elementary to high school through ...
PDF UNDERSTANDING MODULAR LEARNING
the concept of modular learning as it applies to an online university seeking to improve and expand the learning process, and also to provide take-away lessons that can be applied in other change of initiatives. Further, the intent of this paper is to emphasize the importance of creating a RESEARCH PAPERS
PDF Effectiveness of Using Different Modalities to the Learners
These four modalities of learning constitute a cycle in which a tangible experience gives knowledge that acts as a basis for reflection, and as a result of these reflections, information and abstract concepts are absorbed (Cherry 2020). Since this research focus on the different learning modalities which is online and modular class.
Improving Multimodal Learning with Multi-Loss Gradient Modulation
Learning from multiple modalities, such as audio and video, offers opportunities for leveraging complementary information, enhancing robustness, and improving contextual understanding and performance. However, combining such modalities presents challenges, especially when modalities differ in data structure, predictive contribution, and the complexity of their learning processes. It has been ...
Beyond Unimodal Learning: The Importance of Integrating Multiple
While humans excel at continual learning (CL), deep neural networks (DNNs) exhibit catastrophic forgetting. A salient feature of the brain that allows effective CL is that it utilizes multiple modalities for learning and inference, which is underexplored in DNNs. Therefore, we study the role and interactions of multiple modalities in mitigating forgetting and introduce a benchmark for ...
The Power of Combined Modalities in Interactive Robot Learning
This study contributes to the evolving field of robot learning in interaction with humans, examining the impact of diverse input modalities on learning outcomes. It introduces the concept of "meta-modalities" which encapsulate additional forms of feedback beyond the traditional preference and scalar feedback mechanisms. Unlike prior research that focused on individual meta-modalities, this ...
Cross-Linked Unified Embedding for cross-modality representation learning
Multi-modal learning is essential for understanding information in the real world. Jointly learning from multi-modal data enables global integration of both shared and modality-specific information, but current strategies often fail when observa- tions from certain modalities are incomplete or missing for part of the subjects.
Hence, an important research question is if it is possible for trained multi-modal models to have high accuracy even when influential modalities are absent from the input data. In this paper, we propose a novel approach called Meta-learned Cross-modal Knowledge Distillation (MCKD) to address this research question.
ReconBoost: Boosting Can Achieve Modality Reconcilement
This paper explores a novel multi-modal alternating learning paradigm pursuing a reconciliation between the exploitation of uni-modal features and the exploration of cross-modal interactions. This is motivated by the fact that current paradigms of multi-modal learning tend to explore multi-modal features simultaneously. The resulting gradient prohibits further exploitation of the features in ...
(PDF) Modular distance learning modality: Challenges of teachers in
PDF | On Jun 25, 2021, Felicisimo Castroverde and others published Modular distance learning modality: Challenges of teachers in teaching amid the Covid-19 pandemic | Find, read and cite all the ...
Everyone Matters: A Multimodal Learning Analysis Framework ...
In recent years, in response to the challenges posed by learning analysis research, scholars have turned their attention to a data-intensive approach to learning analysis known as Multimodal Learning Analytics (MMLA) (Siemens & Baker, 2012).This approach was initially introduced by Worsley et al. during the International Conference on Multimodal Interaction (ICMI) in 2012 (Scherer et al., 2012).
Multimodal data indicators for capturing cognitive, motivational, and
This systematic review on data modalities synthesises the research findings in terms of how to optimally use and combine such modalities when investigating cognitive, motivational, and emotional learning processes. ERIC, WoS, and ScienceDirect databases were searched with specific keywords and inclusion criteria for research on data modalities, resulting in 207 relevant publications. We ...
Sensors
Federated learning (FL), which provides a collaborative training scheme for distributed data sources with privacy concerns, has become a burgeoning and attractive research area. Most existing FL studies focus on taking unimodal data, such as image and text, as the model input and resolving the heterogeneity challenge, i.e., the challenge of non-identical distribution (non-IID) caused by a data ...
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We shall refer to this modality in this paper using the term combined modes students. We were able to use 692 responses to the questionnaire, representing 24.31% of the total population. 406 were collected using a paper version of the questionnaire and 286 questionnaires were collected using the electronic version.
The Learning Modality Change CoI Scale can be used to measure the impacts of learning modality changes on students' perceptions of cognitive, social, and teaching presence. ... Murphy R. Learning online: What research tells us about whether, when and how. Routledge; 2014. [Google Scholar] Muthén, L. K., & Muthén, B. O. (1998-2012). Mplus ...
The rapid learning environment transition initiated by the COVID-19 pandemic impacted students' perception of, comfort with, and self-efficacy in the online learning environment. Garrison's Community of Inquiry framework provides a lens for examining students' online learning experiences through three interdependent elements: social presence, cognitive presence, and teaching presence ...
The authors of the present review were charged with determining whether these practices are supported by scientific evidence. We concluded that any credible validation of learning-styles-based instruction requires robust documentation of a very particular type of experimental finding with several necessary criteria. First, students must be divided into groups on the basis of their learning ...
Blended learning and research issues. Blended learning (BL), or the integration of face-to-face and online instruction (Graham 2013), is widely adopted across higher education with some scholars referring to it as the "new traditional model" (Ross and Gage 2006, p. 167) or the "new normal" in course delivery (Norberg et al. 2011, p. 207).). However, tracking the accurate extent of its ...
Research design. This research applies a quantitative design where descriptive statistics are used for the student characteristics and design features data, t-tests for the age and gender variables to determine if they are significant in blended learning effectiveness and regression for predictors of blended learning effectiveness.
While a diverse range of learning styles have been proposed, modality preference has received the most attention within educational research and practice. Supporters of this theory posit that each individual has a dominant sense and that when new material is presented in this preferred modality, learning is improved.
In the case of the online modality, we observed the highest scores in accessibility and knowledge in ICT but the worst score in participation. In this case, an average of 7.8 was reached. The blended learning modality reached an average of 8.1, obtaining scores around 7.5 and 9.3.
This systematic analysis examines effectiveness research on online and blended learning from schools, particularly relevant during the Covid-19 pandemic, and also educational games, computer-supported cooperative learning (CSCL) and computer-assisted instruction (CAI), largely used in schools but with potential for outside school.
LEARNING STYLES. A benchmark definition of "learning styles" is "characteristic cognitive, effective, and psychosocial behaviors that serve as relatively stable indicators of how learners perceive, interact with, and respond to the learning environment. 10 Learning styles are considered by many to be one factor of success in higher education. . Confounding research and, in many instances ...
In this paper, the author examines both the history of learning modalities in reading instruction and contemporary research in using modalities to strengthen learning. He finds that while learning modality is an interesting concept, evidence regarding research questions about correlations between factors (i.e. cross-modal transfer, skill ...
During the first semester of the Academic Year 2020-2021, this study sought to ascertain the various learning styles (visual, auditory, read/write, and kinesthetic) and preferred learning ...
1.1. Related literature. Online learning is a form of distance education which mainly involves internet‐based education where courses are offered synchronously (i.e. live sessions online) and/or asynchronously (i.e. students access course materials online in their own time, which is associated with the more traditional distance education).
1. Introduction. In the context of the rapidly developing scientific and technical revolution, the education and training sector has actively implemented tasks and solutions to enhance support management, teaching, learning, assessment, scientific research, and the application of information and communication technology (ICT) (Acosta et al., 2018; Baris, 2015; Bray and Tangney, 2017; Diabat ...
The purpose of this study is to analyze the effect of online education, which has been extensively used on student achievement since the beginning of the pandemic. In line with this purpose, a meta-analysis of the related studies focusing on the effect of online education on students' academic achievement in several countries between the years 2010 and 2021 was carried out. Furthermore, this ...
The global pandemic forced us to rethink education to fight Covid-19 and apply social distancing during lectures. Luckily, we could rely on earlier research into distance education in general, and more specifically, into synchronous hybrid learning. During synchronous hybrid learning both on-site and remote students are connected and taught synchronously in what we call at our university the ...
The term "modular approach" refers to learning that takes the form of individualized instruction and allows students to use Self-Learning Modules (SLMs) in the print or advanced format/electronic ...
modalities" (Kumar, 2012, p. 347). ... Perspectives on blended learning. Qualitative research was applied by interviewing 23 students and 27 teachers from elementary to high school through ...
the concept of modular learning as it applies to an online university seeking to improve and expand the learning process, and also to provide take-away lessons that can be applied in other change of initiatives. Further, the intent of this paper is to emphasize the importance of creating a RESEARCH PAPERS
These four modalities of learning constitute a cycle in which a tangible experience gives knowledge that acts as a basis for reflection, and as a result of these reflections, information and abstract concepts are absorbed (Cherry 2020). Since this research focus on the different learning modalities which is online and modular class.
Learning from multiple modalities, such as audio and video, offers opportunities for leveraging complementary information, enhancing robustness, and improving contextual understanding and performance. However, combining such modalities presents challenges, especially when modalities differ in data structure, predictive contribution, and the complexity of their learning processes. It has been ...
While humans excel at continual learning (CL), deep neural networks (DNNs) exhibit catastrophic forgetting. A salient feature of the brain that allows effective CL is that it utilizes multiple modalities for learning and inference, which is underexplored in DNNs. Therefore, we study the role and interactions of multiple modalities in mitigating forgetting and introduce a benchmark for ...
This study contributes to the evolving field of robot learning in interaction with humans, examining the impact of diverse input modalities on learning outcomes. It introduces the concept of "meta-modalities" which encapsulate additional forms of feedback beyond the traditional preference and scalar feedback mechanisms. Unlike prior research that focused on individual meta-modalities, this ...
Multi-modal learning is essential for understanding information in the real world. Jointly learning from multi-modal data enables global integration of both shared and modality-specific information, but current strategies often fail when observa- tions from certain modalities are incomplete or missing for part of the subjects.
Hence, an important research question is if it is possible for trained multi-modal models to have high accuracy even when influential modalities are absent from the input data. In this paper, we propose a novel approach called Meta-learned Cross-modal Knowledge Distillation (MCKD) to address this research question.
This paper explores a novel multi-modal alternating learning paradigm pursuing a reconciliation between the exploitation of uni-modal features and the exploration of cross-modal interactions. This is motivated by the fact that current paradigms of multi-modal learning tend to explore multi-modal features simultaneously. The resulting gradient prohibits further exploitation of the features in ...
PDF | On Jun 25, 2021, Felicisimo Castroverde and others published Modular distance learning modality: Challenges of teachers in teaching amid the Covid-19 pandemic | Find, read and cite all the ...
In recent years, in response to the challenges posed by learning analysis research, scholars have turned their attention to a data-intensive approach to learning analysis known as Multimodal Learning Analytics (MMLA) (Siemens & Baker, 2012).This approach was initially introduced by Worsley et al. during the International Conference on Multimodal Interaction (ICMI) in 2012 (Scherer et al., 2012).
This systematic review on data modalities synthesises the research findings in terms of how to optimally use and combine such modalities when investigating cognitive, motivational, and emotional learning processes. ERIC, WoS, and ScienceDirect databases were searched with specific keywords and inclusion criteria for research on data modalities, resulting in 207 relevant publications. We ...
Federated learning (FL), which provides a collaborative training scheme for distributed data sources with privacy concerns, has become a burgeoning and attractive research area. Most existing FL studies focus on taking unimodal data, such as image and text, as the model input and resolving the heterogeneity challenge, i.e., the challenge of non-identical distribution (non-IID) caused by a data ...