Teaching Severe Weather: Examining Teacher Candidates’ Early Field Experience in a Makerspace Environment

2020 ◽  
pp. 002205742090806 ◽  
Author(s):  
Kate Shively ◽  
Carolyn Hitchens ◽  
Nathan Hitchens
Keyword(s):  
Elementary Teacher ◽  
Teacher Candidates ◽  
Field Experience ◽  
First Year ◽  
Early Field Experience ◽  
Science Technology ◽  
First Year Teacher ◽  
Elementary Teacher Candidates ◽  
And Mathematics ◽  
Elementary Field

This qualitative study examines first-year teacher candidates early field experience designing and implementing maker workshops for an afterschool program. The maker workshops were offered as part of a STEAM (science, technology, engineering, arts, and mathematics) enrichment club at a local elementary school. The participants engaged in 50 hr of guided design, planning, and facilitation of a weather-focused maker workshop. Findings illuminate the role early teaching experiences (e.g., makerspaces) can play in the early professional development of elementary teacher candidates. This study calls for further investigation regarding maker environments as sites for elementary field experiences for teacher candidates.

Data Analytics and STEM Student Success: The Impact of Predictive Analytics-Informed Academic Advising Among Undeclared First-Year Engineering Students

2018 ◽  
Vol 22 (3) ◽  
pp. 497-521 ◽  
Author(s):  
Yu (April) Chen ◽  
Sylvester Upah
Keyword(s):  
Higher Education ◽  
Student Success ◽  
Academic Advising ◽  
Data Analytics ◽  
Predictive Analytics ◽  
First Year ◽  
Program Of Study ◽  
Science Technology ◽  
Mathematics Student ◽  
And Mathematics

Science, Technology, Engineering, and Mathematics student success is an important topic in higher education research. Recently, the use of data analytics in higher education administration has gain popularity. However, very few studies have examined how data analytics may influence Science, Technology, Engineering, and Mathematics student success. This study took the first step to investigate the influence of using predictive analytics on academic advising in engineering majors. Specifically, we examined the effects of predictive analytics-informed academic advising among undeclared first-year engineering student with regard to changing a major and selecting a program of study. We utilized the propensity score matching technique to compare students who received predictive analytics-informed advising with those who did not. Results indicated that students who received predictive analytics-informed advising were more likely to change a major than their counterparts. No significant effects was detected regarding selecting a program of study. Implications of the findings for policy, practice, and future research were discussed.

scholarly journals HOTSCC-Ichsan: HOTS of Climate Change with Ichsan’s Taxonomy for Elementary Teacher Candidates

2022 ◽  
Vol 8 (1) ◽  
pp. 13-17
Author(s):  
Ilmi Zajuli Ichsan ◽  
Diana Vivanti Sigit ◽  
Nur Fadli Hazhar Fachrial ◽  
Sri Nurafifah ◽  
Ahmad Ali ◽  
...  
Keyword(s):  
Climate Change ◽  
Elementary Teacher ◽  
Teacher Candidates ◽  
Higher Order Thinking ◽  
Thinking Skills ◽  
School Level ◽  
Higher Order Thinking Skills ◽  
Environmental Learning ◽  
Elementary Teacher Candidates ◽  
Data Collection Technique

It is a necessity to develop environmental learning to solve climate change problems, in particular. One of the focuses is climate change learning at the elementary school level that requires elementary teacher candidates to understand various climate change issues. Skills needed are Higher Order Thinking Skills (HOTS) measurable using Ichsan’s taxonomy as an innovation. Ichsan’s taxonomy consists of six thinking levels, namely identify, compare, implement, criticize problems, solve problems, and develop innovation. The study describes the HOTS of elementary teacher candidates using the HOTS of Climate Change with Ichsan’s taxonomy (HOTSCC-Ichsan). The study uses a descriptive method with a survey as the data collection technique. The study finds that the HOTS scores of the elementary teacher candidates measured using the HOTSCC-Ichsan are in a very low category (28.03). The finding indicates the need to enhance the HOTS-based learning intensively for the elementary teacher candidates. It requires learning media development to address the low HOTS. The research conclusion is that the HOTS of the elementary teacher candidates is low and needs an improvement

scholarly journals Pengembangan Perangkat Pembelajaran Berbasis STEM (Science, Technology, Engineering, And Mathematics) Untuk Mahasiswa Prodi PGSD

2020 ◽  
Vol 5 (2) ◽  
pp. 330-345
Author(s):  
Ifa Seftia Rakhma Widiyanti ◽  
Saeful Mizan
Keyword(s):  
Teacher Education ◽  
Elementary Teacher ◽  
Lesson Plan ◽  
Elementary Teacher Education ◽  
Education Students ◽  
Student Activities ◽  
Science Technology ◽  
Simple Machines ◽  
And Mathematics ◽  
Teacher Education Students

Abstract: The general objective of this study was to find a kind of Science, Technology, Engineering, and Mathematics (STEM) study instruments, and  the specific purposes of this study were to investigate the validity, effectiveness, and practicality of  it. This was a Research & Development study which was simplified into two stages; they are the preliminary stage and the development stage.  This study resulted several kinds of instruments: lesson plan, worksheets, material lesson, teaching evaluation sheets, observation sheets, and questionares. The validity was very good with score 84,38 % for content aspect, 82,50 % for language aspect, and 82,14 % for display aspect. The instruments were very effective to be used by elementary teacher education students and lecturers in the simple machines material to describe the STEM profile’s teacher education students. The instruments could practically be used by the elementary teacher education students and lecturers for the simple machines material based on the positive elementary teacher education students and lecturers responses. Students' science ability increased 27.20%, technology ability increased 23.36%, engineering ability increased 55.20%, and mathematics ability increased 81.80%. The effectiveness of learned was shown by the success of the lecturer in designed learning. The learning design got score of 100 from both expert. The developed learning device is practically used by students and lecturers for simple machines material based on positive responses of students and lecturer. The practicality of learning tools based STEM is shown from the implementation of learning. The percentage of student activities during STEM learning was 75.79%, it showed that student activities during learning including the good category and the teaching ability of lecturers got average score 97,73.

Elementary Teacher Candidates' Use of Number Strings: Creating a Math-Talk Learning Community

2015 ◽  
Vol 3 (2) ◽  
pp. 99-115
Author(s):  
Laura Bofferding ◽  
Melissa Kemmerle
Keyword(s):  
Beginning Teachers ◽  
Learning Community ◽  
Elementary Teacher ◽  
Teacher Candidates ◽  
Exploratory Study ◽  
Student Participation ◽  
Methods Course ◽  
Math Talk ◽  
Elementary Teacher Candidates

This article presents the results of an exploratory study detailing 4 teacher candidates' initial implementations of a number string protocol in which they presented sequences of related problems to 3rd graders. We detail how the teacher candidates were taught the components of the protocol in their methods course and describe the math-talk (student-participation) levels that occurred during their 1st number string experience with their students. We coded the lesson transcripts for math-talk levels, which range from teacher-led to student-driven, and provide examples of the number strings and excerpts from the teacher candidates' reflections to illustrate our results. Results indicate that number strings are a supportive structure for beginning teachers as they facilitate math talk.

Learning to Teach Science: Elementary Teacher Candidates Facilitate Informal STEM Events

2017 ◽  
Vol 14 (4) ◽  
pp. 363-380 ◽  
Author(s):  
Danielle E. Dani ◽  
Sara L. Hartman ◽  
Sara R. Helfrich
Keyword(s):  
Elementary Teacher ◽  
Teacher Candidates ◽  
Learning To Teach ◽  
Elementary Teacher Candidates

scholarly journals Teacher candidates attitudes towards the stem and sub-dimensions of stem

2019 ◽  
Vol 14 (2) ◽  
pp. 322-344
Author(s):  
Ezgi Pelin Yıldız ◽  
Ayşe Alkan ◽  
Metin Cengel
Keyword(s):  
21St Century ◽  
Teacher Candidates ◽  
Attitude Scale ◽  
Study Group ◽  
Science Technology ◽  
And Mathematics ◽  
Faculty Of Education ◽  
The Relationship ◽  
Academic Year ◽  
One Way Anova

The developments in science and technology have led to changes in the expectations of countries from the future and the individuals. In the 21st century, focusing on innovative approaches in the education system has become compulsory to raise individuals who question, find rapid and effective solutions to problems and who could think scientifically. One of these approaches is Science, Technology, Engineering and Mathematics (STEM) training. The aim of this study is to evaluate the relationship between STEM and STEM sub-dimensions. The study group consists of 204 teacher candidates from different departments of the Faculty of Education of Sakarya University during the academic year 2018/2019. To collect data, the attitude scale for STEM and the sub-dimensions of STEM were used in the study. One-way ANOVA was used in this correlation for parametric tests. According to the results of the study, there is a positive and significant relationship between STEM and all STEM sub-dimensions based on the data collected from teacher candidates. Keywords: STEM, sub-dimensions, teacher candidates.  

Sign in / Sign up

Export Citation Format

Share Document