scholarly journals MIXED CLASS TEACHING AS AN EMERGING TREND ACCELERATED BY COVID-19

2022 ◽  
Vol 2 (3) ◽  
pp. 53-65
Author(s):  
Jelena Zascerinska ◽  
Anastasija Aleksejeva ◽  
Mihails Zascerinskis ◽  
Olga Gukovica ◽  
Ludmila Aleksejeva ◽  
...  
Keyword(s):  
Higher Education ◽  
Empirical Study ◽  
Online Teaching ◽  
Research Work ◽  
Medical Engineering ◽  
Theoretical Modelling ◽  
Future Research ◽  
The Novel ◽  
Exploratory Data ◽  
Teaching Transformation

The COVID-19 pandemic has essentially accelerated the pace of the teaching transformation. Mixed (also hyflex) class teaching has become indispensable in medical, engineering, teacher and other fields of education when only online teaching is not enough to ensure the continuity of the instruction. The research aim is to identify scenarios of mixed class teaching underpinning the elaboration of implications for higher education. The present research used both - theoretical and empirical methods. The theoretical methods included the analysis of scientific literature, theoretical modelling, systematisation, synthesis, comparison, and generalisation. The empirical study carried out in June 2021 was exploratory. Data were collected through the analysis of published studies. The collected data were processed via content analysis. The present research allows concluding that teaching has undergone significant changes in different historical periods. The findings of the empirical study facilitate the conclusion on the existence of two scenarios of mixed class teaching, namely HOT (Here or There) and COIL (Collaborative Online International Learning). Both scenarios are oriented to students’ learning, teaching in these scenarios is neither segmented nor structured. The novel contribution of the research is revealed in the implications on mixed class teaching for higher education. Future research work was proposed. 

Introduction and Preliminary Investigation of Buoyancy Assisted Robots That Are Cheap, Safe, and Will Never Fall Down

2021 ◽  
Author(s):  
Matthew David Williams ◽  
Dennis Hong
Keyword(s):  
Genetic Algorithm ◽  
Preliminary Analysis ◽  
Preliminary Investigation ◽  
Research Work ◽  
Legged Robots ◽  
Dynamical Analysis ◽  
Future Research ◽  
The Novel ◽  
Drag Forces ◽  
New Family

Abstract We introduce and define a new family of mobile robots called BAR (Buoyancy Assisted Robots) that are cheap, safe, and will never fall down. BARs utilize buoyancy from lighter-than-air gases as a way to support the weight of the robot for locomotion. A new BAR robot named BLAIR (Buoyant Legged Actuated Inverted Robot) whose buoyancy is greater than its weight is also presented in this paper. BLAIRs can walk “upside-down” on the ceiling, providing unique advantages that no other robot platforms can. Unlike other legged robots, the mechanics of how BARs walk is fundamentally different. We also perform a preliminary investigation for BARs. This includes comparing safety, cost, and energy consumption with other commercially available robots. Additionally, the preliminary investigation also includes analyzing previous works relating to BARs. A dynamical analysis is performed on the novel robot BLAIR. This is presented to show the impacts of buoyant and drag forces on BLAIRs. Preliminary analysis with the prevalence of drag is presented with simulations using a genetic algorithm and simulations. Results show that BARs with different mechanisms prefer different styles of walking gaits such as prancing or skipping. This work lays the foundation for future research work on the gaits for BARs.

scholarly journals BRIDGES AND BARRIERS TO TEACHING ONLINE COLLEGE COURSES: A STUDY OF EXPERIENCED ONLINE FACULTY IN THIRTY- SIX COLLEGES

2019 ◽  
Vol 11 (2) ◽  
Author(s):  
Peter Shea
Keyword(s):  
Higher Education ◽  
Online Education ◽  
Online Teaching ◽  
Teaching And Learning ◽  
The United States ◽  
Future Research ◽  
Education Student ◽  
Online Faculty ◽  
Teaching Online ◽  
Barriers To Teaching

This paper reports on initial findings from a research study of factors that enable and constrain faculty participation in online teaching and learning environments. It is noted that demand for higher education continues to grow in the United States. It is argued that the nature of the higher education student population will likely continue to transform towards a non-traditional profile. These two trends drive an increased demand for alternative routes to a college degree and have fueled dramatic growth in online learning recently. The study identifies faculty acceptance of online teaching as a critical component for future growth to meet this demand and ensure quality. Through analysis of data from 386 faculty teaching online in 36 colleges in a large state university system, the most significant factors that support and undermine motivation to teach online are identified. The top motivator is a more flexible work schedule. The top demotivator is inadequate compensation for perceived greater work than for traditionally delivered courses, especially for online course development, revision, and teaching. However, respondents in this study chose to teach online for a wide variety of reasons many of which were associated with demographic and contextual differences. These distinctions are reviewed in light of their implications for future quality of online education. Additionally, through factor analysis, underlyingconstructs for online faculty motivations are identified. Finally, recommendations are made for policy, practice, faculty development and future research.

scholarly journals Exploring Teacher Leadership and the Factors Contributing to It: An Empirical Study on Chinese Private Higher Education Institutions

SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402110021
Author(s):  
Mohan Zhang ◽  
Jing Tian ◽  
Hao Ni ◽  
Guangbao Fang
Keyword(s):  
Higher Education ◽  
Empirical Study ◽  
Teacher Leadership ◽  
Higher Education Institutions ◽  
Private Higher Education ◽  
Future Research ◽  
Teacher Competence ◽  
Point Scale ◽  
Item Questionnaire ◽  
Private Higher Education Institutions

China has witnessed a considerable expansion of private higher education institutions (HEIs) over the last two decades, and research has shown that teacher leadership (TL) is an essential aspect of providing quality higher education. This study proposed a model to explain TL and the factors that contribute to it in private HEIs. A sample of 4,152 participants responded to an 11-item questionnaire using a 5-point scale designed to measure three variables: TL, teacher self-efficacy (TSE), and teacher competence (TC). The results showed that the three variables were valid in explaining TL and the factors that contribute to it. Hypothesis tests revealed that both hypotheses were supported. Finally, the results revealed that TSE and TC are both significantly associated with TL. The practical and theoretical implications of these findings and the scope for future research are discussed.

scholarly journals Literature Review on Benefits, Opportunities, Challenges, Prospects of Online Teaching in Higher Education

2021 ◽  
pp. 232-245
Author(s):  
Hegde Lata Narayan ◽  
Shailashri V. T.
Keyword(s):  
Higher Education ◽  
Literature Review ◽  
Detailed Analysis ◽  
Online Teaching ◽  
Secondary Data ◽  
Education Institution ◽  
Research Proposal ◽  
Future Research ◽  
Research Gap ◽  
Teaching In Higher Education

Purpose: An analysis of literature review on benefits, opportunities, challenges, prospects of online teaching in higher education gives an insight into various factors leading to the effective implementation of online teaching in higher education institution. An honest attempt is made for enabling the teachers to understand these factors for adopting online teaching in higher education institutions. Design/Methodology/Approach: This study is a qualitative literature review, which is based on secondary data. This data is collected from various websites, journals, research papers, articles, several surveys, and reports. Findings/Results: Based on detailed analysis of literature review, assisted in finding out research gap and prospective research proposal which will help in the formulation of the future research study in the area of online teaching in higher education. Originality/Value: This paper analyses and identifies the research gap after a detailed analysis of the literature review. Based on the research gap, specifies the research proposal for further study. Paper Type: A literature review on benefits, opportunities, challenges, prospects of online teaching in Higher Education.

scholarly journals Mapping the Ethics of Learning Analytics in Higher Education: A Systematic Literature Review of Empirical Research

2021 ◽  
pp. 1-17
Author(s):  
Teresa Cerratto Pargman ◽  
Cormac McGrath
Keyword(s):  
Higher Education ◽  
Literature Review ◽  
Empirical Research ◽  
Systematic Literature Review ◽  
Learning Analytics ◽  
Ethical Issues ◽  
Research Work ◽  
Final Analysis ◽  
Future Research ◽  
Knowledge Gaps

Ethics is a prominent topic in learning analytics that has been commented on from conceptual viewpoints. For a broad range of emerging technologies, systematic literature reviews have proven fruitful by pinpointing research directions, knowledge gaps, and future research work guidance. With these outcomes in mind, we conducted a systematic literature review of the research on ethical issues that have been empirically approached in the learning analytics literature. In our final analysis, 21 articles published in the period 2014–2019 met our inclusion criteria. By analyzing this data, we seek to contribute to the field of learning analytics by 1) characterizing the type of empirical research that has been conducted on ethics in learning analytics in the context of higher education, 2) identifying the main ethical areas addressed in the selected literature, and 3) pinpointing knowledge gaps.

scholarly journals The Validation and Further Development of the Multidimensional Cognitive Load Scale for Physical and Online Lectures (MCLS-POL)

2021 ◽  
Vol 12 ◽  
Author(s):  
Martin S. Andersen ◽  
Guido Makransky
Keyword(s):  
Higher Education ◽  
Cognitive Load ◽  
Online Teaching ◽  
Self Report ◽  
Future Research ◽  
Partial Credit Model ◽  
Validity And Reliability ◽  
Online Lectures ◽  
Extraneous Load ◽  
Education Psychology

Cognitive load theory (CLT) has been widely used to help understand the process of learning and to design teaching interventions. The Cognitive Load Scale (CLS) developed by Leppink and colleagues has emerged as one of the most validated and widely used self-report measures of intrinsic load (IL), extraneous load (EL), and germane load (GL). In this paper we investigated an expansion of the CLS by using a multidimensional conceptualization of the EL construct that is relevant for physical and online teaching environments. The Multidimensional Cognitive Load Scale for Physical and Online Lectures (MCLS-POL) goes beyond the CLS's operationalization of EL by expanding the EL component which originally included factors related to instructions/explanations with sub-dimensions including EL stemming from noises, and EL stemming from both media and devices within the environment. Through three studies, we investigated the reliability, and internal and external validity of the MCLS-POL using the Partial Credit Model, Confirmatory Factor Analysis, and differences between students either attending a lecture physically or online (Study 2 and 3). The results of Study 1 (N = 250) provide initial evidence for the validity and reliability of the MCLS-POL within a higher education sample, but also highlighted several potential improvements which could be made to the measure. These changes were made before re-evaluating the validity and reliability of the measure in a new sample of higher education psychology students (N = 140, Study 2), and psychological testing students (N = 119, Study 3). Together the studies provide evidence for a multidimensional conceptualization cognitive load and provide evidence of the validity, reliability, and sensitivity of the MCLS-POL and provide suggestions for future research directions.

scholarly journals A Novel Design of the Pre-Processing Stage of Data Mining for Educational Purposes

2019 ◽  
Vol 1 (1) ◽  
pp. 353-361
Author(s):  
Andreas Ahrens ◽  
Norbert Grünwald ◽  
Jeļena Zaščerinska ◽  
Julija Melnikova
Keyword(s):  
Data Mining ◽  
Empirical Study ◽  
Scientific Literature ◽  
Research Question ◽  
Theoretical Modelling ◽  
Data Sets ◽  
The Novel ◽  
Processing Stage ◽  
New Research

AbstractAs data sets, in education too, change in size and structure, an appropriate design of the preprocessing stage of data mining for the implementation of data mining for educational purposes is becoming a hot research topic. The aim of the present research is to carry out interdisciplinary analysis of scientific literature on pre-processing in data mining and to design a pre-processing stage of data mining for educational purposes underpinning elaboration of a new research question. The present research employs both theoretical and empirical methods. Theoretical methods include analysis of scientific literature and theoretical modelling. The theoretical findings allow identifying sub-stages of the pre-processing stage for the implementation of data mining for educational purposes. The empirical study was carried out in 2018. The study was a case study The empirical results emphasize the main areas of analysis of teachers’ behaviour in an international project. The empirical study validates the model of the pre-processing stage of data mining for educational purposes. The practical application of the model allows drawing a conclusion that the model is valid. The novel contribution of this paper is the design of the sub-stages of the preprocessing stage for the implementation of data mining techniques for educational purposes.

scholarly journals Sustaining Higher Education during a Pandemic a Bibliometric Analysis

2021 ◽  
Vol 11 (4) ◽  
pp. 5417-5440
Author(s):  
Snehal Hirve ◽  
Netra Neelam
Keyword(s):  
Higher Education ◽  
Bibliometric Analysis ◽  
Higher Education Institutions ◽  
Research Work ◽  
Academic Research ◽  
Academic Publishing ◽  
Future Research ◽  
Future Research Agenda ◽  
Long Run ◽  
Practical Implications

Purpose: The purpose is to map the research work stating the readiness or responsiveness of the higher education institutions towards pandemics and identify the patterns of academic research. Design/Methodology/Approach: Bibliometric analysis is done to map and evaluate the outcomes in the form of the documents published, stating the development of research and understanding the patterns of publication. Findings: Uncommon examinations are attempted to give a multi-faceted technique required to sustain the crisis and build a robust education system in the long run. Likewise, embraced shared research should be empowered and upheld at various levels. Practical implications: The brief interferences provided will enable the readers to get quick and valuable insights into the nature and attributes of academic publishing. Thus, benefiting the researchers in developing their future research agenda and come up with some more innovative ideas. Originality/value: Rare studies using bibliometric analysis are directed to identify the higher education institutions' responses to the pandemic or efforts required for supporting the" New Normal" in post-pandemic, which is a candid and resourceful exercise to contribute to the existing pool of literature.

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