International Institute of
"What Do We Do Now?" COVID-19, Digital Health and Online Schooling for Post-secondary Autistic Adult Students
Stolba, Aneta (Canada)
https://doi.org/10.54808/ICSIT2023.01.17
ABSTRACT:
This paper examines the implications of the COVID-19 pandemic's shift to online post-secondary education, telehealth, and digital support services for autistic adults. Using a theoretical framework for analysis, the paper distinguishes between vital, existential, and resource inequalities that have become more apparent during pandemic restrictions and online transitions. The study includes a literature review and a case study of an autistic college student; these two elements are analyzed to enhance understanding of the remote service and support needs of autistic adults. The paper highlights potential challenges with the transition, such as limited access to technology and increased social isolation, as well as potential benefits, such as increased flexibility and reduced sensory overload. The findings underscore the importance of considering accommodation and support needs for marginalized communities when providing online education, healthcare, and support services.
A Comprehensive Approach to Understanding E-resilience in Education – A Review of the Literature
van de Laar, Mindel; Marotta, Julieta; de Graaf, Lisa (Netherlands)
https://doi.org/10.54808/ICSIT2023.01.78
ABSTRACT:
This paper explores how e-resilience in educational systems is understood by the current literature and what the main drivers and challenges are to achieving e-resilience. To answer the research questions, the paper follows the PRISMA systematic literature review, which consists of a literature identification, a literature screening, and literature analysis. A total of 247 papers were identified as relevant, of which 243 papers were screened and 53 papers were analysed. The paper concludes that e-resilience in education is defined in a comprehensive way taking into account the system and the technological, human, and interactive dimensions. The current literature focuses primarily on the enumeration of challenges experienced by educational systems to overcome shocks. Further empirical research is needed to understand what these challenges entail and how they can be overcome.
A Proposed Strategy for the Role of Education in Combating Extremism and Deviant Intellectual Currents in the Light of Saudi Vision 2030
Al-Amri, Aisha Bleyhesh; Zainaddin, Khaloud; Zahid, Abdulrahman Ahmed; Sulaimani, Jehan (Saudi Arabia)
https://doi.org/10.54808/ICSIT2023.01.63
ABSTRACT:
The study aimed to build a proposed strategy for the role of education in combating intellectual currents and innovating applications of parchment to activate them in light of Saudi Vision 2030 by combining the theoretical academic material and turning it into a learning game called (crosswords). The game is equipped with super media that supports education with entertainment to direct ideas towards the promotion of identity, the development of values towards moderation and the consolidation of intellectual security. Additionally, the learning game represents awareness messages in three short films to activate the role of curricula and intellectual awareness centers to apply realistically, innovatively, and effectively.
An Experience Mapping Method for Delayed Understanding in STEM Education
Kunigami, Masaaki; Kikuchi, Takamasa; Terano, Takao (Japan)
https://doi.org/10.54808/ICSIT2023.01.44
ABSTRACT:
This study proposes a new experience-mapping method for mitigating delayed understanding in education. Education is not only a delayed-benefit service but is also characterized by the fact that the understanding of its content and value only comes after it has been provided. Such a comprehension lag in education tends to results in mismatching between learners and educational content, or even result in fallout during learning. We propose a mapping model that describes the structure of educational content that learners should understand it. The model shares with learners the route map to understand the educational content structure using a pair of semantic networks that are extended with findings from brain science and educational experience studies. This study presents applications of the proposed mapping approach to STEM (Science, Technology, Engineering, Mathematics) education. Then, we discuss its the potential of experience mapping in syllabus design and faculty development.
EDUZ Solution for Digital Transformation in School
Tran, Trung; Xuan, Thanh Pham; Le, Lan Thi-Hoai (Vietnam)
https://doi.org/10.54808/ICSIT2023.01.115
ABSTRACT:
Digital transformation (DT) of education is considered as an inevitable process of change content, methods and organizational forms of educational work, which takes place in a rapidly developing digital educational environment. Digital transformation in schools needs to be synchronous in some aspects such as: platform infrastructure and digital teaching capacity, etc., in addition to the development of appropriate policies according to the transition periods and is aimed at a sustainable digital education ecosystem.
The study shows the process of digital transformation at Pedagogical Practice School - Dong Nai University by surveying 266 parents and a total of 16 primary school teachers about the present condition of fundamental infrastructure, computer equipment and digital teaching capacity and considering the appropriateness when implementing digital learning for primary students. Besides, it emphasizes the choice of EDUZ platform solution as an important factor to meet the flexible organizational forms of digital teaching at the school.
From the Periphery to the Center: Undergraduate Co-creation of an Equity Course
Robertson, Lorayne; Cardoza, Sanya; Barber, Wendy (Canada)
https://doi.org/10.54808/ICSIT2023.01.72
ABSTRACT:
This paper reports the findings from the analysis of the student work generated in an online, undergraduate course that was designed by undergraduate students. First, the authors examine student engagement in higher education from different perspectives, including the student role in quality assurance in the academy. They describe a project where undergraduate students who became engaged through the quality assurance process continued their involvement by designing a series of courses in equity, diversity and inclusion areas: equity foundations, inclusive learning environments, decolonization and enabling learning through technology. In this paper, the authors analyze the student learning outputs from the first student-designed course. The findings indicate that 1) a pedagogical stance toward student empowerment can be linked to student participation in quality assurance; 2) student involvement and empowerment can be encouraged into increasingly deeper levels of involvement; and 3) expanding student engagement in higher education opens spaces to allow for more authentic learning; and 4) newer pedagogical approaches to increase student engagement and social presence in online courses bring voices and experiences from the margins that can improve course and program design.
Future Intelligent Autonomous Robots, Ethical by Design – Lessons Learned from Autonomous Cars Ethics
Dodig-Crnkovic, Gordana *; Holstein, Tobias *; Pelliccione, Patrizio **; Thavarasa, Jathoosh * (* Sweden, ** Italy)
https://doi.org/10.54808/ICSIT2023.01.92
ABSTRACT:
The "ethical by design" approach involves examining all stages of a lifecycle of technology to ensure that they are ethically justifiable and socially sustainable. Building on our work on the ethics of autonomous intelligent robocars, and studies of the literature on the ethics of robotics, we propose for robot applications a set of values and ethical principles including safety, security, privacy, transparency, and explainability, accountability, fairness, human control, well-being, autonomy and freedom, and sustainability. This may help stakeholders in the field of intelligent autonomous robotics to connect ethical principles with their applications. Most ethical considerations we identified in our work on autonomous cars are relevant to all AI-powered robots, but robots require additional examination depending on their application domain, such as social robots (care robots, personal companions, robots used in education, health care, elderly care, education, entertainment, chat-bots), industrial robots, etcetera. Thus, existing ethical frameworks need to be applied in a context-sensitive way, by assessments in interdisciplinary, multi-competent teams through multi-criteria analysis. Furthermore, we argue for the need for continuous development of ethical principles, guidelines, and regulations, informed by the progress of technologies and involving relevant stakeholders. This implies designing the socio-technical system as an intelligent learning ecology.
Half-Century of Application of Information Technology in Mathematics Education: From Web-Based Learning to Cloud-Based Learning
Tran, Trung; Nguyen, Ngoc Giang (Vietnam)
https://doi.org/10.54808/ICSIT2023.01.107
ABSTRACT:
Today, information technology plays an important role in education. Information technology has made a significant contribution to education in general, and mathematics education in particular. It enables the training of an unlimited number of students at any given time and location, regardless of skin color, ethnicity, or geographical location. In addition, information technology enables result prediction, solution discovery, testing, automatic scoring, and a variety of other necessary features. In this article, we analyze the history of formation and development from Web-based Learning, E-learning, Mobile Learning, Blended Learning to Cloud-based Learning for Maths (CBLM). The study was carried out mainly by means of literature review. The end result is a new CBLM teaching model as well as practical examples of CBLM. The goal of the outcome is to develop a new method of teaching based on CBLM in the context of the Fourth Industrial Revolution, which is currently accelerating.
How to Develop Assistive Technology for Elderly Care: Designers' Perspectives
Lee, Ya-Hui; Cha, Hsien-Ta; Wang, Yi-Fen (Taiwan)
https://doi.org/10.54808/ICSIT2023.01.51
ABSTRACT:
The objective of this study was to examine the research and development process of elderly assistive technology products. The researcher selected 11 developers of elderly assistive technology products for semi-structured interviews. Respondents developed three types of products, including system platforms, sensing devices, and positioning devices. The findings include: (a) The research and development of assistive technology products for the elderly were motivated by the market demand for the elderly population and the shortage of caregivers, the need to improve the quality of care, and the desire to solve the manpower shortage through technology products. (b) The developers didn't understand the characteristics of the elderly and used laboratory simulations to develop the products; thus, the products were not accepted by elderly users, including: the elderly don't like wearable devices and worry about personal information leakage. (c) The developers conducted a needs assessment by interviewing and observing in the field to understand the users’ characteristics and pain points, to understand the users’ needs. This study suggests that developers should receive systematic training courses on elderly education to understand the development and characteristics of elderly citizens so as to reduce research and development difficulties and design technology care products suitable for elderly users.
Impact of Organization Changes on the Significance of Critical Success Factors of Business Intelligence Delivery – Challenges and Opportunities
Harfoush, Badr *; Zeng, David *; Mansoura, Noura ** (* United States, ** Syrian Arab Republic)
https://doi.org/10.54808/ICSIT2023.01.99
ABSTRACT:
While business intelligence (BI) systems are widely adopted due to the increased need for information, both external and internal factors compel businesses to adapt to dynamic changes that affect the successful delivery of BI systems. This systematic literature review (SLR) looks into how different organizational changes affect the critical success factors (CSFs) in implementing and delivering BI systems. The results of the review show that organizational strategy, structural, people-centric, and remedial changes have an impact on the significance of CSFs. Furthermore, it establishes the existence of a knowledge gap on the impact of organizational changes in the implementation and delivery of BI systems. Finally, it identifies the current challenges and opportunities and the need for further research in delivering and implementing BI systems and related CSFs.
Integrating Artificial Intelligence With Social Network Supporting New Student Onboarding: Factors Create Digital Learning Ecosystem
Trang, Nguyen Ngoc; Tuan, Nguyen Anh; Phương, Nguyen Lan (Vietnam)
https://doi.org/10.54808/ICSIT2023.01.123
ABSTRACT:
The digital learning ecosystem is attracting many educators to research 4.0 technology and a lifelong learning society in which Artificial intelligence (AI) plays a decisive role. In addition, the orientation and learning onboarding for new students at Vietnamese universities are still popular in the form of online messages or phone calls, so it is quite difficult and requires many resources. This article studies the integration of AI with Zalo social network, the most popular social network in Vietnam, to create an application for learning orientation for new students. The proposed principle of creating AI Chatbot applications based on the interaction mechanism between Zalo API and Chatbot Server, classification algorithms, and natural language processing, thereby designing intents and entities for the models. natural language processing and building Chatbot servers and actual servers. The results show that the new student-oriented AI Chatbot has brought the best results in cases of critical questions in an urgent time for most newly admitted students who are still confused.
Mixed Method Research on Consumer Perception of Traditional and Modern Masculinity in Advertising
Kreicbergs, Toms (Latvia)
https://doi.org/10.54808/ICSIT2023.01.129
ABSTRACT:
The aim of the research is to explore consumer perceptions of masculinity in advertising to help advertisers understand how masculinity should be depicted in marketing communication in order to get greater consumer engagement and receive positive feedback from consumers. Researcher used statistical analysis, sentiment analysis, and discourse analysis by using Nvivo 11 qualitative data analysis software to help organize, analyze, and find relevant insights in the text. Discourse analysis and sentiment analysis were used to analyze consumer opinions from 2400 YouTube comments on certain advertisements where masculinity is identified as a critical concept. The results showed a correlation between likeability and consumer engagement. The most liked advertisement and the most hated advertisement both received first and second place in terms of consumer engagement. In addition, it was found that consumer perception of masculinity in advertising, on average, is quite different for traditional and modern, with a more positive discourse towards traditional depictions of masculinity.
Queer(ing) Collections: Recommendations for Uplifting Queer Stories
Trinier, Jessica; Fletcher, Carol-Anne; Halsey, Caitlin (Canada)
https://doi.org/10.54808/ICSIT2023.01.22
ABSTRACT:
This paper explores the current political climate of public, school, and academic libraries which has impacted collection development in libraries. The literature surrounding human rights, representation, and queering collections is reviewed through a queer theory lens. The authors make recommendations for libraries on how to increase queer material in collections. Adding queer material to collections allows queer voices to be brought from the margins to the center. Additionally, policy and policy recommendations are explored. Current policies provide opportunities for interpretation that may prevent queering of library collections from occurring. Policy changes in conjunction with queer theory are recommended to ensure that libraries remain equitable and inclusive.
Researching Pre-service Teacher Autonomy in Synchronous Online Learning
DiVito, Andrew (Canada)
https://doi.org/10.54808/ICSIT2023.01.1
ABSTRACT:
In this paper, the author reports results from a qualitative research study that utilized Self-Determination Theory (SDT) to explore whether pre-service teachers’ SDT needs (autonomy, competence, and relatedness) could be fulfilled within a synchronous online learning environment. The focus of this paper is autonomy and the satisfaction of the autonomy need within the SDT pathway. SDT addresses how the sociocultural conditions an individual experiences influence their motivation, development, and wellness. An individual who experiences sociocultural conditions that satisfy their needs for autonomy, competence, and relatedness will develop autonomous motivation. As course instruction moves online, it is important to understand if and how online learning spaces can impact learner autonomy and motivation. The findings of this study reveal a code network that outlines a pathway from course facilitator to course structure to agency to interest to motivation and finally to improved learning outcomes (Figure 1). These findings suggest learners’ need for autonomy can be satisfied within synchronous online learning environments. They also suggest that student voice and choice is linked to student engagement and success within synchronous online learning environments. The implications of this study will inform course design within online learning environments.
STEM Education and Training Model to Expand Career Opportunities for Undergraduates in Renewable Energy Sector
Rawat, Kuldeep; Elahi, Mehran (United States)
https://doi.org/10.54808/ICSIT2023.01.31
ABSTRACT:
The U.S. Department of Energy (DOE) in their recent Quadrennial Energy Review (QER) reported a growing demand for skilled workers across a range of energy sectors because of retirements, infrastructure growth, and changing energy technologies. Further, the Consumer Energy Alliance (CEA) has indicated, Science, technology, engineering, and mathematics (STEM) education is a must for the next generation of energy workers as a STEM bachelor's degree nearly doubles the likelihood of working in the energy industry. Currently, the energy industry is facing three key workforce challenges:
(i) the technical and soft skills gap,
(ii) lack of awareness of job opportunities, and
(iii) underrepresentation of minorities and women.
Student Co-creation of a Graduate Course in Equity, Diversity and Inclusion
Robertson, Lorayne; Stolba, Aneta; Trinier, Jessica (Canada)
https://doi.org/10.54808/ICSIT2023.01.12
ABSTRACT:
The authors present an illustrative case study outlining the design of a graduate course created to introduce students to foundational theories and research in equity, diversity and inclusion (EDI). This is a work in progress. The course is intended for Master’s and doctoral students in Education. In this paper, the authors define the terms equity, diversity and inclusion and explain the processes and context within which this innovative, online course was developed. What is significant about this case study is that the design team for the graduate course was composed of students from multiple programs within one Faculty of Education: undergraduate, graduate and teacher preparation. The authors describe key decision points in the course design. In the process, they bring to the surface some of the common and challenging questions that arise when designing an EDI course in the Canadian post-secondary context and the processes undertaken to resolve the answers to these questions. For example, they debated the order of introduction of equity topics and how this reflected their significance. In explaining the criteria that they established for a quality, online course in EDI, the authors suggest key considerations for other institutions who are considering student co-design for online, graduate courses.
Teacher-Student Relationship: A Case Study of Thai Teachers and Chinese Students Relationship in Yunnan Province Based on Humanistic Psychology
Tian, Lan; Chansaengsee, Sovaritthon (Thailand)
https://doi.org/10.54808/ICSIT2023.01.57
ABSTRACT:
Teacher-student relationship has become a frequently discussed topic in modern education system, while it is imperative to establish a new teacher-student relationship in the traditional education concept. This study aims to explore the ideal teacher-student relationship by conducting a case study. Thereby it is available to understand the current situation of the relationship between Thai teachers and Chinese students. Based on the research of Humanistic Psychology, both positive and negative issues are found in this relationship. Therefore, this paper proposes corresponding solutions to gradually establish an ideal teacher-student relationship.
The Pedagogical Journal Club: A Collaborative Approach to Developing Pedagogical Strategies to Improve Student Success in STEM
Rawat, Kuldeep; Payne, Gloria; Khan, Ali (United States)
https://doi.org/10.54808/ICSIT2023.01.27
ABSTRACT:
The Pedagogical Journal Club (PJC) was established at Elizabeth City State University (ECSU) during the academic year 2018-19 through the HBCU-UP program funded by NSF. Five cohorts of faculty members have successfully implemented pedagogical strategies in their classrooms. The overreaching goal of the project is to transform institutional learning in science, technology, engineering, and mathematics (STEM) disciplines to significantly increase the faculty involvement that promotes collaborative and inclusive teaching practices through pedagogical partnership. In total, fifteen (15) faculty members participated in the PJC activities. These activities have helped faculty members to develop research literacy, and evidence-based practices, stimulate academic debate, and establish interdepartmental, social, and professional networking. At the end of each academic year, PJC faculty participants made presentations that included a moment of reflection and introduction of the topic followed by discussion, dialogue, and feedback from the other participants and faculty members.
The Positive Social Psychology Intervention of Using Design Thinking to Improve Learners' Wellbeing in Interdisciplinary Courses
ElSayary, Areej (United Arab Emirates)
https://doi.org/10.54808/ICSIT2023.01.36
ABSTRACT:
Design thinking is considered to be a positive social psychology intervention. Students who practice using the design thinking process during their coursework will most likely solve personal problems that improve their well-being. This study investigates the impact of using the design thinking process in interdisciplinary courses to enhance students’ well-being through developing mindsets that enable them to solve their problems and set personal goals unconsciously. A modified PERMA-PH model is used to guide this study. The PERMA included Positive Emotions, Negative Emotions, Engagement, Relationship, Meaning and Purpose, and Accomplishments, the “PH” (future plans and health) was added to the PE to ensure continuity of students’ capability in improving their well-being. The participants (n=38) were undergraduate female students (preservice teachers) at a Federal University in the United Arab Emirates (UAE). A sequential mixed-method approach using quantitative and qualitative data was used. An online survey with closed-ended items was adopted to collect data from participants. The qualitative data were collected using semi-structured interviews with six students. The study’s results reveal that students improved their well-being when engaged in the design thinking process during their reflection in the interdisciplinary courses, and expectations of continuing to improve their well-being occurred.
Uplifting Your Learners: Utilizing Technology to Elevate Diverse Voices in Teacher Education Programs to Inspire Systemic Change
Fletcher, Carol-Anne; Jendrika, Taya-Lynn (Canada)
https://doi.org/10.54808/ICSIT2023.01.6
ABSTRACT:
This paper explores the role of technology in amplifying diverse voices in a post-secondary classroom context, both online and in person. This exploration reveals a lack of genuine, diverse voices in academia and the detrimental effects of diverse voices and authentic stories going untold. Two narrative inquiries are presented here, providing a glimpse into two specific instances of diverse voices being brought into the classroom space through technology, A cross-narrative analysis of the two narrative inquiries is conducted based on a review of relevant literature. Findings from the review of literature, the narrative and the cross-narratives analysis are then presented.
Using Deep Learning LSTM and CNN With Word Embedding for the Detection of Offensive Text on Twitter
Alqahtani, Abdulkarim Faraj; Ilyas, Mohammad (United States)
https://doi.org/10.54808/ICSIT2023.01.86
ABSTRACT:
Reliance on technology has become prevalent in many aspects of our life. Technology provides many benefits in people’s lives, but there are also many concerns generated by this technology. Social media provides benefits, as it allows people to express their comments, opinions and feelings. However, social media can create an inappropriate environment that generates hate speech, offensive text and cyberbullying. Offensive text is included in comments or tweets that pass between users of social media; thus, this is a serious issue that needs to be determined and detected by employing natural language processing. This paper proposes an automatic cyberbullying method for the detection of offensive text using two deep learning models to provide high accuracy. The models employed in this paper are long short-term memory and convolutional neural network (CNN), which are used to classify whether tweets contain offensive text or non-offensive text. In addition, in this paper we compare the CNN model with prior papers that used the same model to show the improvements in accuracy we obtained. We combined five hate speech datasets that contained 162 k tweets to perform the detection in our models. The highest accuracy of our models was approximately 93%, indicating promising results. Our method was found to be more effective at detecting offensive text than the existing method when tested on combined datasets.
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