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Book
Evolutionary Computation
Authors: ---
ISBN: 3039219294 3039219286 Year: 2019 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Computational intelligence is a general term for a class of algorithms designed by nature's wisdom and human intelligence. Computer scientists have proposed many computational intelligence algorithms with heuristic features. These algorithms either mimic the evolutionary processes of the biological world, mimic the physiological structure and bodily functions of the organism,

Keywords

individual updating strategy --- integrated design --- global optimum --- flexible job shop scheduling problem --- whale optimization algorithm --- EHO --- bat algorithm with multiple strategy coupling (mixBA) --- multi-objective DV-Hop localization algorithm --- optimization --- rock types --- variable neighborhood search --- biology --- average iteration times --- CEC2013 benchmarks --- slicing tree structure --- firefly algorithm (FA) --- benchmark --- single loop --- evolutionary computation --- memetic algorithm --- normal cloud model --- 0-1 knapsack problems --- elite strategy --- diversity maintenance --- material handling path --- artificial bee colony algorithm (ABC) --- urban design --- entropy --- evolutionary algorithms (EAs) --- monarch butterfly optimization --- numerical simulation --- architecture --- set-union knapsack problem --- Wilcoxon test --- convolutional neural network --- global position updating operator --- particle swarm optimization --- computation --- minimum load coloring --- topology structure --- adaptive multi-swarm --- minimum total dominating set --- mutation operation --- shape grammar --- greedy optimization algorithm --- ?-Hilbert space --- genetic algorithm --- large scale optimization --- large-scale optimization --- NSGA-II-DV-Hop --- constrained optimization problems (COPs) --- first-arrival picking --- transfer function --- SPEA 2 --- stochastic ranking (SR) --- wireless sensor networks (WSNs) --- acceleration search --- convergence point --- fuzzy c-means --- evolutionary algorithm --- success rates --- Artificial bee colony --- particle swarm optimizer --- random weight --- range detection --- adaptive weight --- large-scale --- automatic identification --- cloud model --- swarm intelligence --- evolutionary multi-objective optimization --- DV-Hop algorithm --- bat algorithm (BA) --- Friedman test --- quantum uncertainty property --- facility layout design --- local search --- deep learning --- Y conditional cloud generator --- benchmark functions --- discrete algorithm --- dispatching rule --- DE algorithm --- nonlinear convergence factor --- energy-efficient job shop scheduling --- t-test --- evolution --- dimension learning --- global optimization --- confidence term --- elephant herding optimization --- moth search algorithm --- evolutionary


Book
Engaging student : using evidence to promote student success
Authors: --- ---
ISBN: 1928424090 1928424082 Year: 2017 Publisher: Bloemfontein UJ Press

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Abstract

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

Keywords

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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