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Developing Undergraduate Students' Geography Learning Skills during Fieldwork and Their Attitude toward It: Developing Undergraduate Students' Geography Learning Skills during Fieldwork and Their Attitude toward It
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Abstract

This study identified the developing of a range of students' geography learning skills and the change in their attitudes toward fieldwork as a consequence of leaning experiences that occurred within a field trip. The sample of the study consisted of (27) students within a special topic course enrolled in Geography Department at Umm Al-Qura University in Saudi Arabia in semester 2, 2018. A range of students' geography learning skills were measured by the skills questionnaire that consisted of 12 geography skills after completing field work. Changes in students' attitudes towards fieldwork was measured through a modified version of Boyle et al.'s (2007) attitudes instrument at the beginning and at the end of the field trip. Interviews were used to enhance the studies' instruments as a data gathering technique. The findings of the study showed that students developed the all geography learning skills, where more than 95% of students felt that they developed their basic problem solving, sampling, measuring & recording, survey methods, information gathering, data analysis, safety and communication & transferable skills. While 92% of students developed observation and integration skill, 90% developed identification skills, 89% developed experimental design skill, and finally, 76% developed interpretation skill. The students increased their enjoyment (t=12.77, p<0.001) as a consequence of doing fieldwork. A similar result was produced for collaboration (t=14.44, p<0.001) over the field trip. The students' responses of interviews questions supported quantitative results.

Keywords: developing, undergraduate students, fieldwork, geography-learning skills, attitudes.

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Publication Date
Sun Sep 28 2025
Journal Name
Journal Of Physical Education
Contribute to the pivotal thinking skills in performing the transmission skill from Volleyball Fourth preparatory grade adolescents
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The aim of this study was to identify the level of critical thinking skills among fourth-grade middle school students and to determine the performance level of the underhand volleyball pass, with the assumption that there is a positive relationship between critical thinking and skill performance. The study population included 281 students from Basra Preparatory School for Girls under the Second Baghdad Education Directorate for the 2024/2025 academic year, of whom 275 students were intentionally selected as the research sample (97.865% of the population). The experimental procedure involved applying a critical thinking scale and a technical performance test for the underhand pass on 25 students per day over 11 days, from February 9

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Publication Date
Sat May 01 2021
Journal Name
Turkish Journal Of Computer And Mathematics Education
Analysis of The Chemistry Book for The Third Grade Medium on The Skills of The 21st Century
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The current study aims to analyze the content of the chemistry book for the third middle grade according to the skills of the 21st century for the academic year (2020-2021). To achieve this goal, a list of 21st century skills to be included in the chemistry book for the third grade was built after a series of literature, research and previous studies, as the 21st century skills tool was built with its main and sub-skills in its initial form consisted of (68) indicators distributed in three main groups and presented the list to a group of specialists in the field of curriculum and teaching methods, Thus the tool was formed in its final form of (59) subissue, and then analyzed the content of the chemistry book for the third grade intermediate

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Publication Date
Thu Apr 18 2024
Journal Name
Eximia Journal
Forecasts some of functional indicators nervous system for dribbling skills in young basketball players from Baghdad Governorate
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The research study is important since it establishes predicted rates for various nervous system functional indicators.In terms of performing the skill of Dribbling in basketball for young players in Baghdad Governorate in order to reach scientific results that serve researchers, coaches, and players uniformly. The study's goal is to create predictive equations for specific functional indicators of the nervous system in relation to the Dribbling skill performance of young basketball players in Baghdad Governorate. The researchers used a descriptive approach with a survey method on (8) youth basketball league clubs in Baghdad Governorate for the 2022-2023 sports season, totaling (96) players . Three tests were used to measure the nervous sy

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Publication Date
Wed Apr 20 2022
Journal Name
International Journal Of Early Childhood Special Education
The effect of the hands-on strategy on the life effectiveness skills of female students1st Elementary Grade
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The current research aims to identify the effect of the hands_on strategy on the life effectiveness skills of the first grade students in the government's daytime middle schools. The Umm al-Mu 'minin school was intentionally chosen to be the research sample of the second Rusafa Directorate for the academic year 2021-2022. Then, two divisions were randomly chosen for the first of the six divisions to represent the experimental group that is studying according to the strategy of the hands_on and the other the control group that is studying according to the usual method. The equivalence of the two research groups was verified by a set of variables. The two groups were found to be equivalent. As for the research tool, the life effectiveness sca

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Publication Date
Wed Oct 01 2025
Journal Name
International Journal Of Humanities And Educational Research
THE EFFECTIVENESS OF USING THE SIX HATS IN IMPROVING STUDENTS' PERFORMANCE IN SOLVING MATHEMATICAL PROBLEMS AMONG FOURTHGRADE SCIENCE STUDENTS
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Publication Date
Mon Mar 01 2021
Journal Name
Al-khwarizmi Engineering Journal
Building a High Accuracy Transfer Learning-Based Quality Inspection System at Low Costs
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      Products’ quality inspection is an important stage in every production route, in which the quality of the produced goods is estimated and compared with the desired specifications. With traditional inspection, the process rely on manual methods that generates various costs and large time consumption. On the contrary, today’s inspection systems that use modern techniques like computer vision, are more accurate and efficient. However, the amount of work needed to build a computer vision system based on classic techniques is relatively large, due to the issue of manually selecting and extracting features from digital images, which also produces labor costs for the system engineers.

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Publication Date
Mon Feb 04 2019
Journal Name
Journal Of The College Of Education For Women
Analysing errors in learning the preasent continuous tense:Associating interference with strategy of instruction
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Publication Date
Tue Aug 15 2023
Journal Name
Journal Of Economics And Administrative Sciences
Machine Learning Techniques for Analyzing Survival Data of Breast Cancer Patients in Baghdad
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The Machine learning methods, which are one of the most important branches of promising artificial intelligence, have great importance in all sciences such as engineering, medical, and also recently involved widely in statistical sciences and its various branches, including analysis of survival, as it can be considered a new branch used to estimate the survival and was parallel with parametric, nonparametric and semi-parametric methods that are widely used to estimate survival in statistical research. In this paper, the estimate of survival based on medical images of patients with breast cancer who receive their treatment in Iraqi hospitals was discussed. Three algorithms for feature extraction were explained: The first principal compone

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Publication Date
Sat Oct 18 2025
Journal Name
Pattern Recognition And Artificial Intelligence
Utilizing Energy-Efficient Deep Learning Technique for Age Estimation Through a Hybrid Methodology
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This study employs evolutionary optimization and Artificial Intelligence algorithms to determine an individual’s age using a single-faced image as the basis for the identification process. Additionally, we used the WIKI dataset, widely considered the most comprehensive collection of facial images to date, including descriptions of age and gender attributes. However, estimating age from facial images is a recent topic of study, even though much research has been undertaken on establishing chronological age from facial photographs. Retrained artificial neural networks are used for classification after applying reprocessing and optimization techniques to achieve this goal. It is possible that the difficulty of determining age could be reduce

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Publication Date
Thu Sep 01 2016
Journal Name
2016 8th Computer Science And Electronic Engineering (ceec)
Class-specific pre-trained sparse autoencoders for learning effective features for document classification
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