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2019 · Heliyon

Effects of audiovisual technological aids on students' achievement and interest in secondary school biology in Nigeria

Ebere Ibe, Joy Abamuche

While Science teaching and learning is changing at an amazing pace in developed countries, same cannot be said of developing countries. Nigeria secondary school classrooms have remained 'chalk and board' affair with students seated in rows copying notes. In a developing country such as Nigeria, teachers need sustained support from colleagues at tertiary level who are compliant with the new technologies to help them learn how best to integrate technology into their teaching. In this paper, we describe a study that employed quasi experiment of the non-equivalent control group design. 150 senior secondary two (SS2) students of two intact classes randomly selected from two schools were assigned one to experimental and other to control. . Training was given to a regular teacher of Biology that taught experimental group while the control group teacher did not receive training but given a template on the conduct of the study. Two instruments for data collection were Biology achievement test and Interest scale. Mean and Standard Deviation and ANCOVA were used for data analysis. Result revealed that group exposed to lessons with Audio-visual technological contents integrated achieved higher in test scores than the group not exposed to. It was recommended that classroom teachers keep pace with development trend by learning and using new technologies (Audio-visual) in instructional delivery.

27 citations20 viewsFull text
DOI: 10.1016/j.heliyon.2019.e01812
2018 · Heliyon

State-of-the-art in artificial neural network applications: A survey

Oludare Isaac Abiodun, Aman Jantan, Abiodun Esther Omolara, Kemi Victoria Dada, Nachaat Mohamed, Humaira Arshad

This is a survey of neural network applications in the real-world scenario. It provides a taxonomy of artificial neural networks (ANNs) and furnish the reader with knowledge of current and emerging trends in ANN applications research and area of focus for researchers. Additionally, the study presents ANN application challenges, contributions, compare performances and critiques methods. The study covers many applications of ANN techniques in various disciplines which include computing, science, engineering, medicine, environmental, agriculture, mining, technology, climate, business, arts, and nanotechnology, etc. The study assesses ANN contributions, compare performances and critiques methods. The study found that neural-network models such as feedforward and feedback propagation artificial neural networks are performing better in its application to human problems. Therefore, we proposed feedforward and feedback propagation ANN models for research focus based on data analysis factors like accuracy, processing speed, latency, fault tolerance, volume, scalability, convergence, and performance. Moreover, we recommend that instead of applying a single method, future research can focus on combining ANN models into one network-wide application.

3,064 citations9 viewsFull text
DOI: 10.1016/j.heliyon.2018.e00938