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1. Time management to reduce Academic Procastination

This study presents the design and implementation of a time management self-help mobile app aimed at assisting college students in overcoming procrastination. The app enables students to set time allocation goals, organize tasks, track progress, review performance history, and access support through a local chatbot. It integrates established strategies for reducing academic procrastination, promoting effective time management. 

2. Development and User Testing of an Academic Scheduling App for University Students. 

Simon Andersson and Erik Karlsson developed and tested a mobile app to help university students manage academic schedules. Built with React-Native and NodeJS, the app integrates Canvas LMS and TimeEdit data via APIs and web scraping. User feedback, gathered through iterative testing from Figma prototypes to real devices, highlighted the app's intuitive design and calendar feature, with engagement scores of 7/10 to 8/10. Suggested improvements included customizable schedules and personal calendar imports. Despite challenges like bugs and web scraping limitations, the project produced a functional, user-friendly tool. The study emphasizes iterative testing and recommends future research on better data integration, larger user samples, and personalized scheduling algorithms. 

3. Creation of a mobile application to help student check their lecture schedule.

The app targets only university students and instructors, missing opportunities for expansion to other institutions; lacks personalization features like study reminders; doesn't integrate with other educational tools (e.g., LMS platforms); overlooks data security concerns; doesn't address scalability under heavy usage; lacks a feedback mechanism for users; neglects accessibility for students with disabilities; lacks a detailed focus on user experience (UX); doesn't examine the app’s impact on student performance; and is missing social features for collaboration and interaction. 

4. Design and Development of intelligent Schedule Management System For student.

The study "Design and Development of Intelligent Schedule Management System for Students" (Zhu et al., 2016) has several gaps, including a limited user scope, focusing mainly on student organizations rather than individual students or faculty. It lacks personalization features, integration with other academic systems, and a mechanism for collecting user feedback. The study does not address data privacy, scalability under high usage, or accessibility for students with disabilities. Furthermore, it does not explore the system's impact on academic performance or time management. The use of dynamic programming and greedy algorithms is not fully analyzed for effectiveness, and the system lacks collaborative tools for group-based scheduling.

5. Scheduling system built with free google app.

The study offers valuable insights into streamlining scheduling for student workers but has several gaps. It only gathers feedback from student workers, excluding access service managers and full-time staff, whose perspectives could provide a fuller picture. The study's 4-month timeframe is also too short to assess long-term impacts or potential emerging The study offers valuable insights into streamlining scheduling for student workers but has several gaps. It only gathers feedback from student workers, excluding access service managers and full-time staff, whose perspectives could provide a fuller picture. The study's 4-month timeframe is also too short to assess long-term impacts or potential emerging.

6. The study on WiDay presents an innovative scheduling system but has several gaps. It lacks long-term user feedback, making it difficult to assess the system's effectiveness over time. 

The impact on academic performance or productivity is not explored, which is crucial for understanding its real-world value. Additionally, the scalability of the system for larger user bases or different academic environments is not addressed. The application may also not fully accommodate the diverse needs of students, such as those with part-time jobs or irregular schedules. The practicality and accuracy of the adaptive alarm system remain unclear, and concerns about data privacy and security are not mentioned. Furthermore, the study does not compare WiDay with other existing tools, leaving its relative advantages and limitations unexplored. Lastly, while the interface is touted as user-friendly, there is no in-depth analysis of its consistency across various devices. Addressing these gaps would provide a more comprehensive evaluation of WiDay’s potential and areas for improvement.

7. The LabSkedule app aims to simplify lab schedule management and improve student attendance. 

While a survey shows positive results, there are several gaps. The study lacks long-term data on the app's effectiveness, does not assess its impact on student performance, and does not consider feedback from instructors or staff. It also doesn't address potential usability issues or compare the app with other scheduling tools, limiting a full understanding of its benefits and drawbacks. 

8. The study on time management and study habits among Special Science Class honor pupils at San Enrique Central School offers insights into students' time management skills but has several gaps.

It lacks a longitudinal analysis to assess how time management affects academic performance over time. The study also doesn't consider external factors that may influence time management, such as extracurricular activities or family obligations. Additionally, it doesn't include feedback from teachers or parents to provide a fuller perspective on students' time management habits. Lastly, the study doesn't compare the time management habits of different student groups or with other schools, limiting its generalizability. Addressing these gaps would provide a more comprehensive understanding of the topic.

9. The study on time management and study habits of working students at the Iloilo State College of Fisheries-San Enrique Campus offers useful insights but has several gaps.

First, the sample size of only 34 students is relatively small, limiting the generalizability of the findings. Additionally, the study doesn't account for other potential factors influencing time management and study habits, such as sociol economic status or family responsibilities. The reliance on self-reported data may also introduce biases, as students may overestimate their time management skills or study habits. Furthermore, the study does not explore the specific strategies working students use to balance work and study, which could provide more actionable insights. Lastly, the study lacks a comparison with non-working students to assess whether their time management and study habits differ significantly. Addressing these gaps would offer a more comprehensive understanding of working students' challenges and strategies.

10. The study on the time management of student-mothers in relation to their academic performance provides valuable insights, but there are several gaps.

The sample size of only 26 participants is small, which limits the generalizability of the findings. Additionally, the study only considers time management and academic performance, without accounting for other factors that may influence academic success, such as support systems, stress levels, or socio-economic background. The use of an adopted questionnaire may not fully capture the unique challenges faced by student-mothers, as it was not tailored to their specific circumstances. Furthermore, the study does not explore how student-mothers manage their time in more detail, such as specific strategies or challenges they face. Finally, the study lacks a comparison group, such as non-parent students, to determine if student-mothers have different time management strategies or academic outcomes. Addressing these gaps could provide a more comprehensive understanding of the experiences of student-mothers.