A contextual game-based learning approach to improving students' inquiry-based learning performance in social studies courses

2015 ◽  
Vol 81 ◽  
pp. 13-25 ◽  
Author(s):  
Gwo-Jen Hwang ◽  
Li-Yu Chiu ◽  
Chih-Hung Chen
2021 ◽  
Author(s):  
Muhammad Sajid

Abstract Machine learning is proving its successes in all fields of life including medical, automotive, planning, engineering, etc. In the world of geoscience, ML showed impressive results in seismic fault interpretation, advance seismic attributes analysis, facies classification, and geobodies extraction such as channels, carbonates, and salt, etc. One of the challenges faced in geoscience is the availability of label data which is one of the most time-consuming requirements in supervised deep learning. In this paper, an advanced learning approach is proposed for geoscience where the machine observes the seismic interpretation activities and learns simultaneously as the interpretation progresses. Initial testing showed that through the proposed method along with transfer learning, machine learning performance is highly effective, and the machine accurately predicts features requiring minor post prediction filtering to be accepted as the optimal interpretation.


In view of the benefits of inquiry-based learning and knowledge management (KM) in triggering students’ communication and knowledge construction and the benefits of a flipped classroom in engaging student learning in- and out-of-classroom, this study proposed to integrate inquiry learning and KM into a flipped classroom to cultivate student web-programming learning performance in a higher education setting. Fifty-one university students participated in a web-programming course. The students in the experimental group used the proposed approach, while those in the control group used the conventional inquiry-based flipped classroom approach. The results indicated that integrating KM and inquiry-based approach into a flipped classroom can improve students’ programming skills and code comprehension and help them learn more effectively with better learning achievements.


2021 ◽  
Vol 9 (3) ◽  
pp. 432
Author(s):  
Hayatul Husna ◽  
Irmawita Irmawita

This research is motivated by the low learning outcomes of social science subjects for equivalence education package B at PKBM Suka Maju Sejahtera, Padang City. This can be seen from the learning strategy provided by the tutor is not good so that it affects the learning outcomes of learning residents. The objectives of the research are: (1) to see the description of the tutor's learning strategy (2) to see the description of the learning outcomes obtained by the learning community; and (3) to find out the relationship between tutor learning strategies and learning outcomes for social studies subjects in equivalence education package B.  This research is classified as quantitative with correlational type. The population in this study were 20 people, the sampling technique was in the form of random sampling and taken as much as 100% or all of those included in the population would be used as a sample of 20 people. The data collection technique uses a questionnaire with the tool in the form of a list of statements. The data were analyzed by the percentage formula and the data processing technique used the rank order formula. The results of this study are: (1) tutor learning strategies at PKBM Suka Maju Sejahtera Padang City are categorized as low. (2) the learning outcomes of social studies subjects are categorized as low. (3) there is a significant relationship between the tutor's learning strategy and the learning outcomes of social studies subjects for equivalence education package B at PKBM Suka Maju Sejahtera, Padang City. It is hoped that further researchers will be able to innovate by examining other variables.


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