Original Discipline: Introductory Science
The Student Struggle
Students often struggle to develop realistic and effective study habits, particularly when balancing coursework with employment, family responsibilities, and other commitments.
They may spend too much time rereading material, underestimate the time needed for practice and application, or create study schedules that are difficult to maintain.
Intended Learning Outcome
Students will be able to develop and justify a realistic study schedule that balances different learning strategies, accounts for personal responsibilities, and supports preparation for course assessments.
Thinking Students Practice
Primary Capacity: Metacognition
Students examine their existing approaches to studying, recognize areas for improvement, and make intentional decisions about how to manage their learning.
Secondary Capacity: Judgment
Students evaluate competing demands on their time, prioritize learning activities, and justify how they allocate their available study hours.
The Learning Activity
Students are challenged to create a realistic weekly study schedule in preparation for an upcoming exam.
They begin by estimating how much time they have available after accounting for employment, classes, household responsibilities, sleep, and other commitments.
Next, students divide their available study time among five types of learning activities:
Reviewing theories and key concepts
Solving practice problems and completing exercises
Reading course materials
Applying concepts through practical activities or examples
Summarizing and connecting important ideas
Students develop a weekly schedule using manageable study blocks, identifying the specific tasks they intend to complete.
They must also consider when they are most productive, which activities require greater concentration, and how to leave room for unexpected changes.
Finally, students explain why they organized their schedule as they did and identify at least one study habit they would like to improve.
Try This With Your Students
Build a Study Plan That Works for You
The Scenario
You have an important exam coming up in two weeks. You want to prepare effectively, but your schedule is already busy with classes, work, family responsibilities, and other commitments.
You know you need to study, but simply setting aside more hours may not be the best approach. You need to decide how to use the time you actually have.
Your challenge is to create a realistic study plan that fits your schedule and helps you prepare for the exam.
Your Challenge
Step 1: Identify Your Available Time
Think about your typical week, including:
Classes and employment
Household or family responsibilities
Sleep and other essential activities
Travel and personal commitments
Estimate how many hours you can realistically dedicate to studying.
Step 2: Consider How You Study
Think about the different ways you can prepare for an exam:
Reviewing notes and important concepts
Completing practice problems or exercises
Reading course materials
Applying concepts to examples or practical situations
Summarizing ideas or explaining them in your own words
Which activities do you usually spend the most time doing? Which do you tend to avoid?
Step 3: Build Your Weekly Study Schedule
Create a schedule for the coming week. Identify when you will study, how long each session will last, and what you intend to accomplish.
Try to include a variety of learning activities rather than relying on just one approach.
Consider when you are most alert and when you might need additional flexibility.
Step 4: Explain Your Decisions
Write a short explanation addressing:
How did you determine how much time you have available?
Why did you choose to spend time on particular study activities?
Which learning strategies do you need to use more often?
What might make your study plan difficult to follow?
How would you adjust your plan if an unexpected responsibility reduced your available study time?
Share Your Thinking
Submit your weekly study schedule along with your explanation.
After following your schedule for several days, revisit it and briefly reflect on what worked, what did not, and what you would change.
Remember: A good study plan isn't necessarily the one with the most study hours. It's one that is realistic, intentional, and responsive to your learning needs.
Making Student Thinking Visible
Students submit their weekly study schedule along with a brief written reflection explaining:
How they determined their available study time.
Why they allocated time to different learning activities.
Which study strategies they tend to overlook.
How their plan might help them avoid last-minute cramming.
What adjustments they might make if their circumstances change.
The instructor can examine not only the completed schedule but also the reasoning behind the student's choices.
The emphasis is on realistic planning, awareness of learning strategies, and the ability to make and explain adjustments.
Adapt This Scenario
Although originally developed for introductory science courses, the underlying instructional approach can be adapted to almost any discipline.
Mathematics: Students design a practice schedule that balances reviewing examples, solving unfamiliar problems, and analyzing mistakes.
Writing and Composition: Students create a writing schedule that includes brainstorming, drafting, feedback, revision, and editing.
Career and Technical Education: Students develop a preparation plan that balances conceptual knowledge, hands-on practice, troubleshooting, and skills assessment.
Healthcare Education: Students plan their study time around terminology, case studies, clinical decision-making, and practical skill development.
In any discipline, the central challenge remains the same: students must make intentional decisions about their learning and explain why their approach is appropriate.
Original AI Prompt and Faculty Revisions
The faculty contributors initially asked ChatGPT to develop a time-management activity for undergraduate science students who may be balancing employment and household responsibilities.
The original request emphasized distributing study time among subject theory, practice problems, reading, practical application, and big-picture summarization.
The initial AI-generated response was extensive, including learning objectives, suggested study-time percentages, scheduling templates, planning guidelines, and assessment criteria.
The faculty then requested a simpler version suitable for entry-level students.
The resulting revision retained the central activity while reducing complexity and emphasizing practical weekly planning and short reflection.
This revision illustrates an important part of AI-assisted instructional design: evaluating an initial AI-generated activity and adapting its complexity to match students' needs.