Micro-learning modules are linked to enhanced retention of the learners and can be geared toward subconscious knowledge acquisition in an organization

Micro-learning modules are linked to enhanced retention of the learners and can be geared toward subconscious knowledge acquisition in an organization

This internship report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Business Administration, 2023.

Dettagli Bibliografici
Autore principale:	Siddique, Noman
Altri autori:	Al-Din, Zaheed Husein Mohammad
Natura:	Internship report
Lingua:	English
Pubblicazione:	BRAC University 2024
Soggetti:	Micro-learning Knowledge retention Marketing Subconscious learning Learning > Physiological aspects Memory Learning
Accesso online:	http://hdl.handle.net/10361/23531

Documenti analoghi

The influence of neuromarketing: machine learning based empirical analysis
di: Muktadir, MD. Abdullah Al, et al.
Pubblicazione: (2024)

How the brain learns /
di: Sousa, David A.
Pubblicazione: (2006)

Learner differences : diagnosis and prescription /
di: Levin, Joel R.
Pubblicazione: (1977)

Deep learning based arrhythmia classification on low-cost and low-compute MCU
di: Zishan, Md Abu Obaida, et al.
Pubblicazione: (2023)

Enriching the brain : how to maximize every learner's potential /
di: Jensen, Eric, 1950-
Pubblicazione: (2006)

Effectiveness of techniques and methods of ESL learning for younger learners
di: Akber, Fattah
Pubblicazione: (2019)

Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh
di: Biswas, Sunanda, et al.
Pubblicazione: (2022)

A Study of gainful employment of learners receiving skills training in the informal sector using Machine Learning
di: Raizan, Syed Ahsan, et al.
Pubblicazione: (2021)

12 brain/mind learning principles in action : the fieldbook for making connections, teaching, and the human brain /
Pubblicazione: (2005)

How we learn and why we don't : student survival guide using the cognitive profile inventory /
di: Krause, Lois Breur
Pubblicazione: (2008)

Internship report on micro-learning blessing for generation Z
di: Uddin, Junayed
Pubblicazione: (2024)

A study on the similarities and differences in learning styles between English medium and Bengali medium learners
di: Tuli, Tahmina
Pubblicazione: (2016)

Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
di: Rayhan, Mohammad, et al.
Pubblicazione: (2020)

Importance of visual aids to motivate young learners
di: Mokarrama, Nahiyan
Pubblicazione: (2017)

Development of mobile learning system based on android app
di: Samrin, Sama, et al.
Pubblicazione: (2018)

An android application to predict human activity using a deep learning LSTM model
di: Sikder, Debabrata
Pubblicazione: (2024)

Leveraging sequential deep learning models for detecting multitude of human action categories
di: Pranta, Kazi Al Refat, et al.
Pubblicazione: (2024)

Learners and pedagogy /
Pubblicazione: (1999)

Learning theories in childhood /
di: Gray, Colette, et al.
Pubblicazione: (2015)

Promoting learner autonomy on a university course of English for academic purposes
di: Jamil, MD. Golam
Pubblicazione: (2011)

Sentiment analysis to determine employee job satisfaction using machine learning techniques
di: Mouli, Nazifa, et al.
Pubblicazione: (2023)

Learners, learning and assessment /
Pubblicazione: (1999)

A review of Computer Assisted Language Learning (CALL): how context based modifications of CALL enhances learning efficiency
di: Rafi, Md. Sadman
Pubblicazione: (2018)

Development of learning process perceived by the students of the pharmacy department of different universities in Bangladesh
di: Rahman, Sharjana
Pubblicazione: (2019)

Essentials of learning : the new cognitive learning for students of education /
di: Travers, Robert Morris William, 1913-

Analysis of the impact of online education using EEG signals and machine learning algorithms
di: Hoque, Ehsanul, et al.
Pubblicazione: (2021)

Corn leaf disease detection using deep convolution neural network
di: Rabbi, Rawhatur, et al.
Pubblicazione: (2023)

Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
di: Hasan, M. M. Kamrul, et al.
Pubblicazione: (2022)

Differentiation through learning styles and memory /
di: Sprenger, Marilee, 1949-
Pubblicazione: (2003)

Yoga posture recognition using the deep learning process
di: Islam, Abidul, et al.
Pubblicazione: (2023)

An exploration of EFL learners’ anxiety in an online learning environmental class
di: Lamia, Jannatul Ferdous
Pubblicazione: (2019)

Enhancing learners' English language proficiency through service learning : an investigation on BRAC University perspective
di: Rahman, Md. Mahbubur
Pubblicazione: (2013)

Recruitment & Retention Process of Simura Group
di: Niloy, Imtiaz Ahmed
Pubblicazione: (2023)

Redesigning and restructuring CSE-110 based on interactive learning pedagogy
di: Afroge, Samera
Pubblicazione: (2010)

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
di: Toufique, S.M, et al.
Pubblicazione: (2024)

Impact of training on LinkedIn learning on the employees: an assessment on Square Pharmaceuticals limited
di: Nilormy, Mashiat Salsabil
Pubblicazione: (2024)

A modern technique to detect potholes by Computer Vision and Deep Learning
di: Saif, Muntasir Mahmud, et al.
Pubblicazione: (2023)

Implementation of reinforcement learning architecture to augment an AI that can self-learn to play video games
di: Mahmud, Aqil, et al.
Pubblicazione: (2023)

Perceptions and willingness of students towards using TELL in Bangladeshi Private Universities
di: Labiba, Atqia
Pubblicazione: (2018)

Heart disease prediction using machine learning algorithms
di: Ali, Musfiq, et al.
Pubblicazione: (2019)