Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Design Example: Managing Concrete Workability01:14

Design Example: Managing Concrete Workability

309
This example deals with managing the workability of concrete for a raft foundation project under hot weather conditions. Workability is crucial for ensuring the concrete is easy to place, compact, and finish. In this scenario, a slump test — a common method to measure the workability of fresh concrete — initially indicated low workability. This was attributed to the rapid water loss from the concrete mix, exacerbated by the high temperatures causing the course aggregates to heat up.
309
Student t Distribution01:31

Student t Distribution

14.1K
The population standard deviation is rarely known in many day-to-day examples of statistics. When the sample sizes are large, it is easy to estimate the population standard deviation using a confidence interval, which provides results close enough to the original value. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
The Student t distribution was developed by William S. Goset (1876–1937) of the...
14.1K
Microsoft Excel: Student's t-Test01:25

Microsoft Excel: Student's t-Test

1.6K
Student's t-test in Microsoft Excel is a statistical method used to compare the means of two groups to determine if they are significantly different from each other. It's commonly used to evaluate hypotheses, such as testing whether a treatment has an effect compared to a control group. Excel provides built-in functions to perform t-tests, making it accessible for users needing to conduct basic statistical analysis.
To conduct a t-test in Excel, use the T.TEST function or the "Data...
1.6K
Comparing Experimental Results: Student's t-Test01:09

Comparing Experimental Results: Student's t-Test

5.9K
The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
5.9K
Group Design02:01

Group Design

10.4K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
10.4K
Factorial Design02:01

Factorial Design

13.8K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
13.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A ROS-responsive supramolecular peptide hydrogel attenuates rheumatoid arthritis by modulating synoviocyte activity and inflammatory microenvironments.

Journal of materials chemistry. B·2026
Same author

Assessing the factors influencing the quality of pocket-conditioned 3D generative models.

Journal of cheminformatics·2026
Same author

ACAA1 mediates arachidonic acid dysregulation and membrane phospholipid remodeling to promote crystal-cell adhesion and ferroptosis susceptibility in calcium oxalate kidney stone.

Journal of pharmaceutical analysis·2026
Same author

Macrophage-derived fibronectin suppresses antitumor immunity via tissue stiffening and immunosuppressive cell induction in cancer mouse models.

Nature communications·2026
Same author

Reorganizing the RNA polymerase II complex for replication of an infectious noncoding RNA in vivo.

PLoS pathogens·2026
Same author

Correction: The pathways to teacher growth: mediating roles of motivation and self-efficacy within the community of inquiry framework.

Frontiers in psychology·2026

Related Experiment Video

Updated: Jan 29, 2026

Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience
10:17

Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience

Published on: November 15, 2024

1.7K

Developing Time Management Competencies for First-Year College Students Through Experiential Learning: Design-Based

Kunyu Wang1, Mingzhang Zuo1, Xiaotang Zhou1

  • 1Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, China.

Behavioral Sciences (Basel, Switzerland)
|January 28, 2026
PubMed
Summary

First-year college students improved time management skills through a hybrid seminar combining experiential learning and digital tools. This approach fostered better planning, task completion, and satisfaction with time use.

Keywords:
design-based researchexperiential learningfirst-year college studentstime management competencies

More Related Videos

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

4.2K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.3K

Related Experiment Videos

Last Updated: Jan 29, 2026

Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience
10:17

Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience

Published on: November 15, 2024

1.7K
Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

4.2K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.3K

Area of Science:

  • Educational Psychology
  • Higher Education Pedagogy
  • Human-Computer Interaction

Background:

  • First-year college students often lack effective time management skills due to limited self-regulation.
  • Existing time management interventions are frequently short-term and lack theoretical grounding.
  • Developing robust time management is crucial for academic success in higher education.

Purpose of the Study:

  • To investigate the efficacy of a design-based research (DBR) approach integrating experiential learning and digital tools for enhancing student time management.
  • To develop and refine a pedagogical model for improving time management competencies in first-year university students.
  • To explore the role of technology-enhanced experiential learning in fostering self-regulated learning.

Main Methods:

  • A three-month hybrid Freshman Orientation Seminar was implemented with 238 first-year students over three iterative DBR cycles (2021-2023).
  • Data were collected via daily submissions through a WeChat mini-program, incorporating quantitative and qualitative evidence.
  • The DBR approach combined experiential learning theory with practical time management activities, iteratively refining the intervention based on collected data.

Main Results:

  • The iterative DBR process resulted in six design principles and a functional digital tool.
  • Students in the final iteration showed significant improvements in planning abilities and task completion rates.
  • Participants reported more accurate time allocation and increased satisfaction with their time utilization.

Conclusions:

  • Sustained, theory-guided experiential learning, supported by digital tools, effectively enhances college students' time management skills.
  • The study provides practical strategies for integrating self-regulated learning into higher education curricula.
  • Technology-enhanced experiential approaches offer a promising avenue for developing critical student competencies.