Teachers’ First-Year Experience with Chromebook Laptops and Their Attitudes Towards Technology Integration

Şahin, Alpaslan; Top, Namık; Delen, Erhan

doi:10.1007/s10758-016-9277-9

Cited by 24 publications

(17 citation statements)

References 33 publications

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“…Some of the data mining techniques deployed includes clustering, text mining, association rule mining, classification and so forth. The mode of delivery of education has transcended from the traditional classroom-based method to various web-based teaching platforms and adaptive e-learning systems [19] due to the availability of modern learning technologies [20][21][22], and this therefore enables diverse education related data to be generated, logged, processed and studied for a better understanding of the learning process and learners [23], and educational technology integration practices [24].…”

Section: Introductionmentioning

confidence: 99%

Toward an improved learning process: the relevance of ethnicity to data mining prediction of students’ performance

Adekitan

Salau

2019

SN Appl. Sci.

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The ability to predict failure is an advantageous educational tool that can be effectively used to counsel student, and this may also be used as a tool for developing, and channelling adequate academic interventions toward preventing failure and dropout tendencies. Students are generally admitted based on their evaluated academic potentials as measured using their admission criteria scores. This study seeks to identify the relationship, if any, between the admission criteria scores and the graduation grades, and to examine the influence of ethnicity using the geopolitical zone of origin of the student on the predictive accuracy of the models developed using a Nigerian University as a case study. Data mining analyses were carried out using four classifiers on the Orange Software, and the results were verified with multiple regression analysis. The maximum classification accuracy observed is 53.2% which indicates that the pre-admission scores alone are insufficient for predicting the graduation result of students but it may serve as a useful guide. By applying over-sampling technique, the accuracy increased to 79.8%. The results establish that the ethnic background of the student is statistically insignificant in predicting their graduation results. Hence, the use of ethnicity in admission processes is therefore not ideal.

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Section: Introductionmentioning

confidence: 99%

Toward an improved learning process: the relevance of ethnicity to data mining prediction of students’ performance

Adekitan

Salau

2019

SN Appl. Sci.

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“… Regardless of the amount of technology or its sophistication, technology will not be used unless faculty members have the skills, knowledge, and attitudes necessary to infuse it into the curriculum. (ibid., p. 298) A closer look at the current literature indicates that the attitude of teachers towards concrete devices like laptops (Shain et al, 2016 ) and mobile devices like tablets in educational contexts (Khlaif, 2018 ) or towards the use of technology in general (Li et al 2019 ; Van Aalderen-Smeets et al 2012 ; Nordlöf et al 2019 ; Thurm, 2017 ) has been the main focus of research on attitudes towards the integration of technology in education in recent years.…”

Section: The Theoretical Framework Of Attitudesmentioning

confidence: 99%

Pre-service Teachers’ Reflections on Attitudes Towards Teaching and Learning Mathematics with Online Platforms at School: A Case Study in the Context of a University Online Training

Dilling

Vogler

2022

Tech Know Learn

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Online learning platforms take over a new role in education, especially in times of the Covid-19 pandemic. This paper will discuss pre-service teachers’ reflections on attitudes towards online learning platforms and the respective changes due to an online training of using this digital tool in mathematics classes. The special training took place in a bachelor seminar with fourteen participants on the use of digital media in mathematics education at the University of Siegen. Based on the ‘Tripartite Model of Attitude Structure’ which defines the psychological concept of attitude, data material about the pre-service teachers’ attitudes is gathered by pre- and post-reflection-questionnaires. A qualitative content analysis led to the formation of a system of six main categories and approximately 51 descriptors for pre-service teachers’ attitudes towards online learning platforms and especially their changes due to the online training of using these platforms. The descriptors can be a basis for further research studies on this topic.

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“…So that the development of internet-based learning is needed, and the use of mobile technology is very carefully related to the lives of children and parents. Hence, its use for educational purposes is a necessity [10].…”

Section: Introductionmentioning

confidence: 99%

Implementation Cooperative Learning Type STAD Assisted Edmodo in Improving Students' Critical Thinking Skills

Rusdin¹,

Widodo

Maruto

2020

Indones. Rev. Phys.

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The STAD cooperative learning model can support active, independent and responsible learning for students. The application of this model is expected to improve students' critical thinking skills. The purpose of this study was to determine the improvement of students' critical thinking skills using Edmodo-assisted learning models. Edmodo was modified to become a teacher tool to expand learning at home. This research is an experimental study using a pretest-posttest control group design involving 39 students of class VIII MTs At-Taqwa Beru, Sikka, East Nusa Tenggara. Based on the results of the study it was found that the Edmodo-assisted STAD type cooperative learning model can improve students' critical thinking skills.

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Teachers’ First-Year Experience with Chromebook Laptops and Their Attitudes Towards Technology Integration

Cited by 24 publications

References 33 publications

Toward an improved learning process: the relevance of ethnicity to data mining prediction of students’ performance

Toward an improved learning process: the relevance of ethnicity to data mining prediction of students’ performance

Pre-service Teachers’ Reflections on Attitudes Towards Teaching and Learning Mathematics with Online Platforms at School: A Case Study in the Context of a University Online Training

Implementation Cooperative Learning Type STAD Assisted Edmodo in Improving Students' Critical Thinking Skills

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