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All Journal Bulletin of Electrical Engineering and Informatics JOURNAL OF EDUCATION SCIENCE
Khalid Been Md. Badruzzaman Biplob
Daffodil International University
Education Electrical & Electronics Engineering

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ENGAGING STUDENTS TO TAKE OWNERSHIP OF THEIR LEARNING THROUGH A STEPPED TEACHING MODEL BASED ON THE QUR’AN: EVALUATION BY TEACHERS TRAINED USING THIS MODEL Khalid Been Md. Badruzzaman Biplob; Yousuf M. Islam; Md. Sadekur Rahman
JOURNAL OF EDUCATION SCIENCE Vol 1, No 1 (2015): April 2015
Publisher : Universitas Ubudiyah Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.3314/jes.v1i1.17

Abstract

Getting students to learn and be confident has always challenged teachers and educationists. With the introduction of the subject of Instructional Design, teaching is now looked upon as a stepped process through which students must be taken through. To this end many teaching models have been proposed and used by teachers all over the world. At the same time, it has been noticed that students who take “ownership” of their learning are most likely to become independent learners. Also, with the huge rise in demand for tertiary level education all over the world and more so in developing countries like Bangladesh developing successful models to manage the wave of new students has become even more important. In Bangladesh, the increased demand is coming from rural students who have had a limited access to proper primary and secondary education available in the rural areas of Bangladesh. This has added to the challenge of being able to deliver teaching that can turn around students who have poor study and language skills. In this paper we propose a stepped teaching model based on verses from the Qur’an that talk about the brain. We apply this model to training 54 newly recruited teachers who have joined Daffodil International University in the semester of spring, 2015. The idea is the teachers should evaluate the model and if perceived effective use the model in their own teaching. We demonstrate the model in action with these teachers and share the evaluation done by them.Keywords: Inductive teaching, instructional design, ownership, Qur’an, stepped teaching model,teaching models, tertiary level education
Bitcoin trading indicator: a machine learning driven real time bitcoin trading indicator for the crypto market Ashikur Rahaman; Abu Kowshir Bitto; Khalid Been Md. Badruzzaman Biplob; Md. Hasan Imam Bijoy; Nusrat Jahan; Imran Mahmud
Bulletin of Electrical Engineering and Informatics Vol 12, No 3: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i3.4486

Abstract

As opposed to other fiat currencies, bitcoin has no relationship with banks. Its price fluctuation is largely influenced by fresh blocks, news, mining information, support or resistance levels, and public opinion. Therefore, a machine-learning model will be fantastic if it learns from data and tells or indicates if we need to purchase or sell for a little period. In this study, we attempted to create a tool or indicator that can gather tweets in real-time using tweepy and the Twitter application programming interface (API) and report the sentiment at the time. Using the renowned Python module "FBProphet," we developed a model in the second phase that can gather historical price data for the bitcoin to US dollar (BTCUSD) pair and project the price of bitcoin. In order to provide guidance for an intelligent forex trader, we finally merged all of the models into one form. We traded with various models for a very little number of days to validate our bitcoin trading indicator (BTI), and we discovered that the combined version of this tool is more profitable. With the combined version of the instrument, we quickly and with little error root mean square error (RMSE: 1,480.58) generated a profit of $1,000.71 USD.
Co-Authors Abu Kowshir Bitto Ashikur Rahaman Imran Mahmud Md. Hasan Imam Bijoy Md. Sadekur Rahman Nusrat Jahan Yousuf M. Islam