Essays about: "activity based learning"

Showing result 6 - 10 of 156 essays containing the words activity based learning.

  1. 6. Physically oriented learning meets vocabulary acquisition and motivation: how the ESL classroom can combine with PE through cross-curricular collaboration

    University essay from Malmö universitet/Institutionen för kultur, språk och medier (KSM)

    Author : Axel Olsson; Ali Tbena; [2023]
    Keywords : CLIL; Cross-curricular; Embodied learning; English as a second language; Motivation; Physical education; Vocabulary acquisition;

    Abstract : A positive relationship between physical motion and learning is widely acknowledged. However, few studies have investigated the potential effects of combining physical movement with second language learning. READ MORE

  3. 7. Easing the transition from block-based programming in education : Comparing two ways of transitioning from block-based to text-based programming and an alternative way to solve the transition problem

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Joakim Abdinur Iusuf; Edvin Nordling; [2023]
    Keywords : Block-based programming; Block-based languages; Text-based programming; Text-based languages; One-way transition environments; Dual-modality environments; Hybrid environments; Blockly; BlockPy; Blockly Games; Blockbaserad programmering; Blockbaserade språk; Textbaserad programmering; Textbaserade språk; One-way transition miljöer; Dual-modality miljöer; Hybrid miljöer; Blockly; BlockPy; Blockly Games;

    Abstract : Many learners find the transition from block-based programming to text-based programming difficult. Consequently, research has investigated how block-based languages support learners when making the transition to text-based programming. READ MORE

  4. 8. Quantum Algorithms for Feature Selection and Compressed Feature Representation of Data

    University essay from KTH/Fysik

    Author : William Laius Lundgren; [2023]
    Keywords : Feature selection; autoencoders; quantum machine learning; quantum circuits; quantum annealing; Funktionsval; datakompression; kvantmaskininlärning; kvantalgoritmer; kvantkretsar;

    Abstract : Quantum computing has emerged as a new field that may have the potential to revolutionize the landscape of information processing and computational power, although physically constructing quantum hardware has proven difficult,and quantum computers in the current Noisy Intermediate Scale Quantum (NISQ) era are error prone and limited in the number of qubits they contain.A sub-field within quantum algorithms research which holds potential for the NISQ era, and which has seen increasing activity in recent years, is quantum machine learning, where researchers apply approaches from classical machine learning to quantum computing algorithms and explore the interplay between the two. READ MORE

  5. 9. Counterfeit product grouping - a cluster ensemble approach

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Jency Raj; Ramu Satheesh; [2023]
    Keywords : Machine Learning; Deeplearning; Image analysis; Data science;

    Abstract : he need for the development and use of efficient and reliable Anticounterfeit techniques in the manufacturing industry and online trading has recently increased tremendously. Flooding counterfeit products in the international market have several adverse social and economic impacts globally. READ MORE

  6. 10. Straight to the Heart : Classification of Multi-Channel ECG-signals using MiniROCKET

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Stefan Christiansson; [2023]
    Keywords : MiniROCKET; Time-series analysis; Multi-variate; Classification; Convolutional Neural Network; MiniROCKET; Tidsserieanalys; Multivariat; Klassifikation; Convolutional Neural Network;

    Abstract : Machine Learning (ML) has revolutionized various domains, with biomedicine standing out as a major beneficiary. In the realm of biomedicine, Convolutional Neural Networks (CNNs) have notably played a pivotal role since their inception, particularly in applications such as time-series classification. READ MORE