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Full-Text Articles in Education
Developing An Early-Alert System To Promote Student Visits To Tutor Center, Qijie (Vicky) Cai, Carrie Lewis Miller, Jude Higdon
Developing An Early-Alert System To Promote Student Visits To Tutor Center, Qijie (Vicky) Cai, Carrie Lewis Miller, Jude Higdon
iSALT Outcomes: Publications, Presentations, and Other Scholarly Works
An early-alert system (MavCLASS) was developed and piloted in a large gateway math class with 611 freshman students to identify academically at-risk students and provide alert messages. It was found that there was significant association between the alert messages students received and their visits to the university’s tutor center. Further, the achievement of students who visited the tutor center was improving over the semester. Evidence from the study suggests that an early-alert system focused on personalized feedback from instructional staff correlates with the help-seeking behaviors of at-risk students in large gateway classes.
07. Criminal Justice, Northeastern State University
07. Criminal Justice, Northeastern State University
Oklahoma Research Day Abstracts
No abstract provided.
04. Botany, Northeastern State University
04. Botany, Northeastern State University
Oklahoma Research Day Abstracts
No abstract provided.
06. Computer Science, Northeastern State University
06. Computer Science, Northeastern State University
Oklahoma Research Day Abstracts
No abstract provided.
03. Biology, Northeastern State University
03. Biology, Northeastern State University
Oklahoma Research Day Abstracts
No abstract provided.
08. Engineering, Northeastern State University
08. Engineering, Northeastern State University
Oklahoma Research Day Abstracts
No abstract provided.
10. Forensic Science, Northeastern State University
10. Forensic Science, Northeastern State University
Oklahoma Research Day Abstracts
No abstract provided.
11. Genetics, Northeastern State University
11. Genetics, Northeastern State University
Oklahoma Research Day Abstracts
No abstract provided.
14. Optometry, Northeastern State University
14. Optometry, Northeastern State University
Oklahoma Research Day Abstracts
No abstract provided.
16. Physics, Northeastern State University
16. Physics, Northeastern State University
Oklahoma Research Day Abstracts
No abstract provided.
17. Psychology, Northeastern State University
17. Psychology, Northeastern State University
Oklahoma Research Day Abstracts
No abstract provided.
13. Mathematics, Northeastern State University
13. Mathematics, Northeastern State University
Oklahoma Research Day Abstracts
No abstract provided.
18. Statistics, Northeastern State University
18. Statistics, Northeastern State University
Oklahoma Research Day Abstracts
No abstract provided.
02. Animal Science, Northeastern State University
02. Animal Science, Northeastern State University
Oklahoma Research Day Abstracts
No abstract provided.
05. Chemistry, Northeastern State University
05. Chemistry, Northeastern State University
Oklahoma Research Day Abstracts
No abstract provided.
09. Environmental Science, Northeastern State University
09. Environmental Science, Northeastern State University
Oklahoma Research Day Abstracts
No abstract provided.
12. Kinesiology, Northeastern State University
12. Kinesiology, Northeastern State University
Oklahoma Research Day Abstracts
No abstract provided.
15. Pharmacy, Northeastern State University
15. Pharmacy, Northeastern State University
Oklahoma Research Day Abstracts
No abstract provided.
19. Zoology, Northeastern State University
19. Zoology, Northeastern State University
Oklahoma Research Day Abstracts
No abstract provided.
Research Trends In The Use Of Mobile Learning In Mathematics, Helen Crompton, Diane Burke
Research Trends In The Use Of Mobile Learning In Mathematics, Helen Crompton, Diane Burke
Teaching & Learning Faculty Publications
The use of mobile learning in education is growing at an exponential rate. To best understand how mobile learning is being used, it is crucial to gain a collective understanding of the research that has taken place. This research was a systematic review of 36 studies in mobile learning in mathematics from the year 2000 onward. Eight new findings emerged: (1) The primary purpose of most studies was to focus on evaluating mobile learning. (2) Case studies and experimental design were the main research methods. (3) Most studies report positive learning outcomes; (4) Mobile phones were the mobile device used …