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Research on the Chilean social mobilization of the last decades, the exhaustion of the neoliberal model and the search for alternatives
Social issues & processes --- Chile --- social changes --- social movements --- student performance
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The main objective of this Research Topic is to determine the conditions that place students at risk of school failure, identifying student and context variables. In spite of the fact that there is currently little doubt about how one learns and how to teach, in some countries of the “developed world,” there is still there is a high rate of school failure. Although the term “school failure” is a very complex construct, insofar as its causes, consequences, and development, from the field of educational psychology, the construct “student engagement” has recently gained special interest in an attempt to deal with the serious problem of school failure. School engagement builds on the anatomy of the students’ involvement in school and describes their feelings, behaviors, and thoughts about their school experiences. So, engagement is an important component of students’ school experience, with a close relationship to achievement and school failure. Children who self-set academic goals, attend school regularly and on time, behave well in class, complete their homework, and study at home are likely to interact adequately with the school social and physical environments and perform well in school. In contrast, children who miss school are more likely to display disruptive behaviors in class, miss homework frequently, exhibit violent behaviors on the playground, fail subjects, be retained and, if the behaviors persist, quit school. Moreover, engagement should also be considered as an important school outcome, eliciting more or less supportive reactions from educators. For example, children who display school-engaged behaviors are likely to receive motivational and instructional support from their teachers. The opposite may also be true. But what makes student engage more or less? The relevant literature indicates that personal variables (e.g., sensory, motor, neurodevelopmental, cognitive, motivational, emotional, behavior problems, learning difficulties, addictions), social and/or cultural variables (e.g., negative family conditions, child abuse, cultural deprivation, ethnic conditions, immigration), or school variables (e.g., coexistence at school, bullying, cyberbullying) may concurrently hinder engagement, preventing the student from acquiring the learnings in the same conditions as the rest of the classmates.
education --- school failure --- schools --- students --- teacher support --- student performance --- retention --- education --- school failure --- schools --- students --- teacher support --- student performance --- retention
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Artificial intelligence (AI) is changing the world as we know it. Recent advances are enabling people, companies, and governments to envision and experiment with new methods of interacting with computers and modifying how virtual and physical processes are carried out. One of the fields in which this transformation is taking place is education. After years of witnessing the incorporation of technological innovations into learning/teaching processes, we can currently observe many new research works involving AI. Moreover, there has been increasing interest in this research area after the COVID-19 pandemic, driven toward fostering digital education. Among recent research in this field, AI applications have been applied to enhance educational experiences, studies have considered the interaction between AI and humans while learning, analyses of educational data have been conducted, including using machine learning techniques, and proposals have been presented for new paradigms mediated by intelligent agents. This book, entitled “AI in Education”, aims to highlight recent research in the field of AI and education. The included works discuss new advances in methods, applications, and procedures to enhance educational processes via artificial intelligence and its subfields (machine learning, neural networks, deep learning, cognitive computing, natural language processing, computer vision, etc.).
Information technology industries --- performance measurement --- key performance indicators --- educational data mining --- institutes performance --- governance --- educational mining --- machine learning --- artificial intelligence --- decision support systems --- systematic literature review --- learning styles --- hybrid university teaching --- e-behaviour --- big five personality --- student performance --- plagiarism --- ethics --- academic dishonesty --- online education --- higher education --- AS&P model --- Pakistan --- performance measurement --- key performance indicators --- educational data mining --- institutes performance --- governance --- educational mining --- machine learning --- artificial intelligence --- decision support systems --- systematic literature review --- learning styles --- hybrid university teaching --- e-behaviour --- big five personality --- student performance --- plagiarism --- ethics --- academic dishonesty --- online education --- higher education --- AS&P model --- Pakistan
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The global COVID-19 pandemic has posed a major challenge in all aspects of life, including how graduate training of healthcare practitioners is conducted. In Saudi Arabia, there were over 14,000 graduate health professional trainees in different stages of their training in various specialties distributed in many healthcare facilities across the country. The vast geographical distribution and diversity of health specialties training programs and activities have remarkably magnified the challenge posed by the pandemic. However, recently, the SCFHS implemented a health training governance reform that granted more autonomy to accredited training facilities in supervising training activities according to preset policies. This autonomy was crucial for mitigating various risks imposed by the pandemic, especially during the extended periods of strict lockdown. The ultimate mandate is a knowledge management primer. We need to once again focus on the basics of human creativity and knowledge creation: Create the content/knowledge; Utilize knowledge; Document knowledge; Communicate knowledge; Enable an integrated training, education, and research ecosystem; Utilize the integrated platform. Our volume is a contribution to the scientific debate for the added value of COVID-19 to our training, education, and research capabilities. We continue this debate with a new Special Issue in the Sustainability journal. We look forward to your contributions to this discussion.
Technology: general issues --- job satisfaction --- sustainable health --- medical training --- accreditation --- satisfaction --- health governance --- Saudi Commission for Health Specialties --- smart healthcare --- residents training --- quality --- COVID-19 --- medical education assurance --- training --- governance --- framework --- best practices --- healthcare --- population health research --- public health research --- research methods --- the COVID-19 pandemic --- online education --- online courses --- the satisfaction of students --- higher education --- preventive behaviors --- theory of planned behavior --- subjective norms --- pandemic --- educational process --- digital education --- management change --- student behavior --- student attitude --- organizational speed --- dynamic capability --- ambidexterity --- R&D organization --- young adults --- hybrid learning --- remote teaching --- educational spaces --- tertiary education --- Austria --- mixed methods --- post-digital --- eLearning --- flipped classroom --- ARCS model --- teaching method --- international cooperation --- psychophysiological standard --- professional-defining qualities --- specialist professiogram --- environmental engineer --- employee psychophysiological profile --- psychophysiological status --- education for sustainable development --- MOOCs --- MOOC --- sustainable education --- IS success model --- expectation-confirmation model --- gamification --- continued usage intention --- course performance --- student performance --- Chinese universities --- job satisfaction --- sustainable health --- medical training --- accreditation --- satisfaction --- health governance --- Saudi Commission for Health Specialties --- smart healthcare --- residents training --- quality --- COVID-19 --- medical education assurance --- training --- governance --- framework --- best practices --- healthcare --- population health research --- public health research --- research methods --- the COVID-19 pandemic --- online education --- online courses --- the satisfaction of students --- higher education --- preventive behaviors --- theory of planned behavior --- subjective norms --- pandemic --- educational process --- digital education --- management change --- student behavior --- student attitude --- organizational speed --- dynamic capability --- ambidexterity --- R&D organization --- young adults --- hybrid learning --- remote teaching --- educational spaces --- tertiary education --- Austria --- mixed methods --- post-digital --- eLearning --- flipped classroom --- ARCS model --- teaching method --- international cooperation --- psychophysiological standard --- professional-defining qualities --- specialist professiogram --- environmental engineer --- employee psychophysiological profile --- psychophysiological status --- education for sustainable development --- MOOCs --- MOOC --- sustainable education --- IS success model --- expectation-confirmation model --- gamification --- continued usage intention --- course performance --- student performance --- Chinese universities
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The book provides a rich, informative picture of the current state of student engagement evaluation, while also highlighting challenges and opportunities for future advances. A particular strength of this publication is its emphasis on the importance of taking evidence-based decisions, and showing how the South African Survey of Student Engagement (SASSE) can provide the evidence for well-informed changes in policy and practice in order to enhance student success." - Prof Magda Fourie-Malherbe, Stellenbosch University
Higher & further education, tertiary education --- Academics --- Academic achievement --- Academic advising --- Academic advisors --- Academic challenge --- Academic development --- Academic literacy --- Academic performance --- Academic support --- Access --- Academic staff (also see academics/Lecturers) --- Actionable --- Active learning --- Agency --- Aggregated --- Analyse --- Apply --- Ask questions --- Assessment --- Attitude --- Australasian Survey of Student Engagement (AUSSE) --- Beginning University Survey of Student Engagement (BUSSE) --- Benchmarking --- Bloom’s taxonomy --- Business --- economics and management --- Campus environment --- Capacity --- Career advisors --- Challenges --- Classroom activities --- Classroom Survey of Student Engagement (CLASSE) --- Co-curricular (also see extra-curricular) --- Cognitive --- Cognitive development --- Cognitive educational activities --- Cognitive functions --- Cognitive skills --- Collaborative learning --- Colleges --- Community college --- Comprehensive universities --- Conditional formatting --- Contextual --- Contextual challenges --- Contextualised --- Council on Higher Education (CHE) --- Course (module/subject) --- Critical thinking --- Culture --- Curriculum --- Data --- Data-informed --- Decision-making --- Decolonisation --- Deep learning --- Department chairs (heads of departments) --- Department of Higher Education and Training (DHET) --- Development --- Developmental outcomes --- Diagnostic --- Disaggregating --- Discussions --- Discussion with diverse others --- Dropout --- Education outcomes --- Effective educational behaviours --- Effective educational practices --- Effective leadership --- Effective teaching practices --- Empirical --- Engagement – also see Student Engagement --- Engineering --- Equity --- Equitable outcomes --- Evaluate --- Evidence --- Evidence-based --- Expectations --- Expected academic difficulty --- Expected academic perseverance --- Experiential learning --- Experience with staff --- Extended degree --- Extended curricula --- Extra-curricular (also see co-curricular) --- Financial Stress Scale --- First-generation --- First-year --- Food --- Food insecurity --- Frequency --- Freshman myth --- Gender --- Graduate attributes (Learning outcomes) --- Group work --- Heads of departments --- High-Impact practices --- Higher education outcomes --- Higher-Order Learning --- Holistic --- Humanities --- Incentive --- Indicators --- Innovation --- Innovative --- Instructional paradigm --- Interactions --- Interventions --- Institutional culture --- Institutional performance --- Institutional research --- Institutional researchers --- Institution-wide approaches --- Interpersonal relationships --- Interpersonal skills --- Intersectional --- Intersectionality --- Irish Survey of Student Engagement (ISSE) --- Knowledge --- Knowledge society --- Language --- Law --- Leaders --- Leadership (management/university leadership) --- Learning --- Learning environments --- Learning facilitator --- Learning outcomes --- Learning paradigm --- Learning strategies --- Learning with peers --- Lecturer Survey of Student Engagement (LSSE) --- Lecturers (also see academics/academic staff) --- Librarians --- Management (University leaders and Leadership) --- Mathematics --- Memorisation --- Mentor --- Mentoring --- Mentorship --- Mission --- Module (course/subject) --- Motivation --- National Benchmark Tests (NBT) --- National Benchmark Test Project (NBTP) --- National Development Plan --- National Survey of Student Engagement (NSSE) --- Natural and Agricultural Sciences --- Next Generation of Academics Programme (nGAP) --- Numeracy development --- Off-campus --- On-campus --- Online resources --- Pathways --- Peer learning (also see Tutor) --- Pedagogical approaches --- Pedagogical contexts --- Pedagogical environments --- Pedagogical experiences --- Pedagogical innovation --- Pedagogical practices --- Pedagogical relationship --- Pedagogical responsiveness --- Pedagogies --- Perceived academic preparation --- Perceived preparedness --- Persistence --- Policies --- Policy --- Policy makers --- Practical significance --- Practical work --- Preparing for class --- Professional development --- Professionals --- Professional staff --- Quadrant --- Quality --- Quality assurance --- Quality of interactions --- Quantitative reasoning --- Reflection --- Reflective and integrative learning --- Relationships --- Research --- Responsiveness --- Resources --- Retention --- Science --- engineering and technology --- Self-reflection --- Senior students --- Service learning --- Social sciences --- Socio-economic --- South African Survey(s) of Student Engagement (SASSE) --- Staff development (also academic development and lecturer development) --- Stakeholder --- Strategies --- Statistical --- Student affairs --- Student behaviour --- Student bodies --- Student data --- Student development --- Student engagement --- Student evaluation --- Student financial aid --- Student involvement --- Student learning --- Student life --- Student needs --- Student outcomes --- Student organisations --- Student perspective --- Student participation --- Student performance --- Student persistence --- Student retention --- Student responses --- Student societies --- Student-staff interaction --- Student success --- Student views --- Student voice --- Success rates --- Subject (course/module) --- Support services --- Support staff --- Supportive campus --- Supportive environment --- Synthesise --- Systemic perspective --- Systemic understanding --- Teaching --- Teaching and learning --- Techniques --- Time --- Time management --- Traditional universities --- Transformation --- Transformative --- Transition --- Tutor --- Tutorials --- Undergraduate research --- Underprepared --- United States --- University Capacity Development Grant (University Capacity Development Programme) --- Universities --- Universities of Technology --- University leaders --- Unrealistic --- Well-being
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